Science.gov

Sample records for exploring scientific datasets

  1. The new Planetary Science Archive (PSA): Exploration and discovery of scientific datasets from ESA's planetary missions

    NASA Astrophysics Data System (ADS)

    Martinez, Santa; Besse, Sebastien; Heather, Dave; Barbarisi, Isa; Arviset, Christophe; De Marchi, Guido; Barthelemy, Maud; Docasal, Ruben; Fraga, Diego; Grotheer, Emmanuel; Lim, Tanya; Macfarlane, Alan; Rios, Carlos; Vallejo, Fran; Saiz, Jaime; ESDC (European Space Data Centre) Team

    2016-10-01

    The Planetary Science Archive (PSA) is the European Space Agency's (ESA) repository of science data from all planetary science and exploration missions. The PSA provides access to scientific datasets through various interfaces at http://archives.esac.esa.int/psa. All datasets are scientifically peer-reviewed by independent scientists, and are compliant with the Planetary Data System (PDS) standards. The PSA is currently implementing a number of significant improvements, mostly driven by the evolution of the PDS standard, and the growing need for better interfaces and advanced applications to support science exploitation. The newly designed PSA will enhance the user experience and will significantly reduce the complexity for users to find their data promoting one-click access to the scientific datasets with more specialised views when needed. This includes a better integration with Planetary GIS analysis tools and Planetary interoperability services (search and retrieve data, supporting e.g. PDAP, EPN-TAP). It will be also up-to-date with versions 3 and 4 of the PDS standards, as PDS4 will be used for ESA's ExoMars and upcoming BepiColombo missions. Users will have direct access to documentation, information and tools that are relevant to the scientific use of the dataset, including ancillary datasets, Software Interface Specification (SIS) documents, and any tools/help that the PSA team can provide. A login mechanism will provide additional functionalities to the users to aid / ease their searches (e.g. saving queries, managing default views). This contribution will introduce the new PSA, its key features and access interfaces.

  2. The new Planetary Science Archive: A tool for exploration and discovery of scientific datasets from ESA's planetary missions

    NASA Astrophysics Data System (ADS)

    Heather, David

    2016-07-01

    Introduction: The Planetary Science Archive (PSA) is the European Space Agency's (ESA) repository of science data from all planetary science and exploration missions. The PSA provides access to scientific datasets through various interfaces (e.g. FTP browser, Map based, Advanced search, and Machine interface): http://archives.esac.esa.int/psa All datasets are scientifically peer-reviewed by independent scientists, and are compliant with the Planetary Data System (PDS) standards. Updating the PSA: The PSA is currently implementing a number of significant changes, both to its web-based interface to the scientific community, and to its database structure. The new PSA will be up-to-date with versions 3 and 4 of the PDS standards, as PDS4 will be used for ESA's upcoming ExoMars and BepiColombo missions. The newly designed PSA homepage will provide direct access to scientific datasets via a text search for targets or missions. This will significantly reduce the complexity for users to find their data and will promote one-click access to the datasets. Additionally, the homepage will provide direct access to advanced views and searches of the datasets. Users will have direct access to documentation, information and tools that are relevant to the scientific use of the dataset, including ancillary datasets, Software Interface Specification (SIS) documents, and any tools/help that the PSA team can provide. A login mechanism will provide additional functionalities to the users to aid / ease their searches (e.g. saving queries, managing default views). Queries to the PSA database will be possible either via the homepage (for simple searches of missions or targets), or through a filter menu for more tailored queries. The filter menu will offer multiple options to search for a particular dataset or product, and will manage queries for both in-situ and remote sensing instruments. Parameters such as start-time, phase angle, and heliocentric distance will be emphasized. A further

  3. The new Planetary Science Archive: A tool for exploration and discovery of scientific datasets from ESA's planetary missions.

    NASA Astrophysics Data System (ADS)

    Heather, David; Besse, Sebastien; Barbarisi, Isa; Arviset, Christophe; de Marchi, Guido; Barthelemy, Maud; Docasal, Ruben; Fraga, Diego; Grotheer, Emmanuel; Lim, Tanya; Macfarlane, Alan; Martinez, Santa; Rios, Carlos

    2016-04-01

    Introduction: The Planetary Science Archive (PSA) is the European Space Agency's (ESA) repository of science data from all planetary science and exploration missions. The PSA provides access to scientific datasets through various interfaces (e.g. FTP browser, Map based, Advanced search, and Machine interface): http://archives.esac.esa.int/psa All datasets are scientifically peer-reviewed by independent scientists, and are compliant with the Planetary Data System (PDS) standards. Updating the PSA: The PSA is currently implementing a number of significant changes, both to its web-based interface to the scientific community, and to its database structure. The new PSA will be up-to-date with versions 3 and 4 of the PDS standards, as PDS4 will be used for ESA's upcoming ExoMars and BepiColombo missions. The newly designed PSA homepage will provide direct access to scientific datasets via a text search for targets or missions. This will significantly reduce the complexity for users to find their data and will promote one-click access to the datasets. Additionally, the homepage will provide direct access to advanced views and searches of the datasets. Users will have direct access to documentation, information and tools that are relevant to the scientific use of the dataset, including ancillary datasets, Software Interface Specification (SIS) documents, and any tools/help that the PSA team can provide. A login mechanism will provide additional functionalities to the users to aid / ease their searches (e.g. saving queries, managing default views). Queries to the PSA database will be possible either via the homepage (for simple searches of missions or targets), or through a filter menu for more tailored queries. The filter menu will offer multiple options to search for a particular dataset or product, and will manage queries for both in-situ and remote sensing instruments. Parameters such as start-time, phase angle, and heliocentric distance will be emphasized. A further

  4. Dataset of Scientific Inquiry Learning Environment

    ERIC Educational Resources Information Center

    Ting, Choo-Yee; Ho, Chiung Ching

    2015-01-01

    This paper presents the dataset collected from student interactions with INQPRO, a computer-based scientific inquiry learning environment. The dataset contains records of 100 students and is divided into two portions. The first portion comprises (1) "raw log data", capturing the student's name, interfaces visited, the interface…

  5. Proceedings: Fourth Workshop on Mining Scientific Datasets

    SciTech Connect

    Kamath, C

    2001-07-24

    Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratory data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is

  6. Determining similarity of scientific entities in annotation datasets.

    PubMed

    Palma, Guillermo; Vidal, Maria-Esther; Haag, Eric; Raschid, Louiqa; Thor, Andreas

    2015-01-01

    Linked Open Data initiatives have made available a diversity of scientific collections where scientists have annotated entities in the datasets with controlled vocabulary terms from ontologies. Annotations encode scientific knowledge, which is captured in annotation datasets. Determining relatedness between annotated entities becomes a building block for pattern mining, e.g. identifying drug-drug relationships may depend on the similarity of the targets that interact with each drug. A diversity of similarity measures has been proposed in the literature to compute relatedness between a pair of entities. Each measure exploits some knowledge including the name, function, relationships with other entities, taxonomic neighborhood and semantic knowledge. We propose a novel general-purpose annotation similarity measure called 'AnnSim' that measures the relatedness between two entities based on the similarity of their annotations. We model AnnSim as a 1-1 maximum weight bipartite match and exploit properties of existing solvers to provide an efficient solution. We empirically study the performance of AnnSim on real-world datasets of drugs and disease associations from clinical trials and relationships between drugs and (genomic) targets. Using baselines that include a variety of measures, we identify where AnnSim can provide a deeper understanding of the semantics underlying the relatedness of a pair of entities or where it could lead to predicting new links or identifying potential novel patterns. Although AnnSim does not exploit knowledge or properties of a particular domain, its performance compares well with a variety of state-of-the-art domain-specific measures. Database URL: http://www.yeastgenome.org/

  7. Determining similarity of scientific entities in annotation datasets

    PubMed Central

    Palma, Guillermo; Vidal, Maria-Esther; Haag, Eric; Raschid, Louiqa; Thor, Andreas

    2015-01-01

    Linked Open Data initiatives have made available a diversity of scientific collections where scientists have annotated entities in the datasets with controlled vocabulary terms from ontologies. Annotations encode scientific knowledge, which is captured in annotation datasets. Determining relatedness between annotated entities becomes a building block for pattern mining, e.g. identifying drug–drug relationships may depend on the similarity of the targets that interact with each drug. A diversity of similarity measures has been proposed in the literature to compute relatedness between a pair of entities. Each measure exploits some knowledge including the name, function, relationships with other entities, taxonomic neighborhood and semantic knowledge. We propose a novel general-purpose annotation similarity measure called ‘AnnSim’ that measures the relatedness between two entities based on the similarity of their annotations. We model AnnSim as a 1–1 maximum weight bipartite match and exploit properties of existing solvers to provide an efficient solution. We empirically study the performance of AnnSim on real-world datasets of drugs and disease associations from clinical trials and relationships between drugs and (genomic) targets. Using baselines that include a variety of measures, we identify where AnnSim can provide a deeper understanding of the semantics underlying the relatedness of a pair of entities or where it could lead to predicting new links or identifying potential novel patterns. Although AnnSim does not exploit knowledge or properties of a particular domain, its performance compares well with a variety of state-of-the-art domain-specific measures. Database URL: http://www.yeastgenome.org/ PMID:25725057

  8. The Role of Datasets on Scientific Influence within Conflict Research

    PubMed Central

    Van Holt, Tracy; Johnson, Jeffery C.; Moates, Shiloh; Carley, Kathleen M.

    2016-01-01

    We inductively tested if a coherent field of inquiry in human conflict research emerged in an analysis of published research involving “conflict” in the Web of Science (WoS) over a 66-year period (1945–2011). We created a citation network that linked the 62,504 WoS records and their cited literature. We performed a critical path analysis (CPA), a specialized social network analysis on this citation network (~1.5 million works), to highlight the main contributions in conflict research and to test if research on conflict has in fact evolved to represent a coherent field of inquiry. Out of this vast dataset, 49 academic works were highlighted by the CPA suggesting a coherent field of inquiry; which means that researchers in the field acknowledge seminal contributions and share a common knowledge base. Other conflict concepts that were also analyzed—such as interpersonal conflict or conflict among pharmaceuticals, for example, did not form their own CP. A single path formed, meaning that there was a cohesive set of ideas that built upon previous research. This is in contrast to a main path analysis of conflict from 1957–1971 where ideas didn’t persist in that multiple paths existed and died or emerged reflecting lack of scientific coherence (Carley, Hummon, and Harty, 1993). The critical path consisted of a number of key features: 1) Concepts that built throughout include the notion that resource availability drives conflict, which emerged in the 1960s-1990s and continued on until 2011. More recent intrastate studies that focused on inequalities emerged from interstate studies on the democracy of peace earlier on the path. 2) Recent research on the path focused on forecasting conflict, which depends on well-developed metrics and theories to model. 3) We used keyword analysis to independently show how the CP was topically linked (i.e., through democracy, modeling, resources, and geography). Publically available conflict datasets developed early on helped

  9. Scientific Datasets: Discovery and Aggregation for Semantic Interpretation.

    NASA Astrophysics Data System (ADS)

    Lopez, L. A.; Scott, S.; Khalsa, S. J. S.; Duerr, R.

    2015-12-01

    One of the biggest challenges that interdisciplinary researchers face is finding suitable datasets in order to advance their science; this problem remains consistent across multiple disciplines. A surprising number of scientists, when asked what tool they use for data discovery, reply "Google", which is an acceptable solution in some cases but not even Google can find -or cares to compile- all the data that's relevant for science and particularly geo sciences. If a dataset is not discoverable through a well known search provider it will remain dark data to the scientific world.For the past year, BCube, an EarthCube Building Block project, has been developing, testing and deploying a technology stack capable of data discovery at web-scale using the ultimate dataset: The Internet. This stack has 2 principal components, a web-scale crawling infrastructure and a semantic aggregator. The web-crawler is a modified version of Apache Nutch (the originator of Hadoop and other big data technologies) that has been improved and tailored for data and data service discovery. The second component is semantic aggregation, carried out by a python-based workflow that extracts valuable metadata and stores it in the form of triples through the use semantic technologies.While implementing the BCube stack we have run into several challenges such as a) scaling the project to cover big portions of the Internet at a reasonable cost, b) making sense of very diverse and non-homogeneous data, and lastly, c) extracting facts about these datasets using semantic technologies in order to make them usable for the geosciences community. Despite all these challenges we have proven that we can discover and characterize data that otherwise would have remained in the dark corners of the Internet. Having all this data indexed and 'triplelized' will enable scientists to access a trove of information relevant to their work in a more natural way. An important characteristic of the BCube stack is that all

  10. ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis

    NASA Astrophysics Data System (ADS)

    Stepinski, Tomasz F.; Salazar, Josue; Ding, Wei; White, Denis

    We propose an association analysis-based strategy for exploration of multi-attribute spatial datasets possessing naturally arising classification. Proposed strategy, ESTATE (Exploring Spatial daTa Association patTErns), inverts such classification by interpreting different classes found in the dataset in terms of sets of discriminative patterns of its attributes. It consists of several core steps including discriminative data mining, similarity between transactional patterns, and visualization. An algorithm for calculating similarity measure between patterns is the major original contribution that facilitates summarization of discovered information and makes the entire framework practical for real life applications. Detailed description of the ESTATE framework is followed by its application to the domain of ecology using a dataset that fuses the information on geographical distribution of biodiversity of bird species across the contiguous United States with distributions of 32 environmental variables across the same area.

  11. Gathering and exploring scientific knowledge in pharmacovigilance.

    PubMed

    Lopes, Pedro; Nunes, Tiago; Campos, David; Furlong, Laura Ines; Bauer-Mehren, Anna; Sanz, Ferran; Carrascosa, Maria Carmen; Mestres, Jordi; Kors, Jan; Singh, Bharat; van Mulligen, Erik; Van der Lei, Johan; Diallo, Gayo; Avillach, Paul; Ahlberg, Ernst; Boyer, Scott; Diaz, Carlos; Oliveira, José Luís

    2013-01-01

    Pharmacovigilance plays a key role in the healthcare domain through the assessment, monitoring and discovery of interactions amongst drugs and their effects in the human organism. However, technological advances in this field have been slowing down over the last decade due to miscellaneous legal, ethical and methodological constraints. Pharmaceutical companies started to realize that collaborative and integrative approaches boost current drug research and development processes. Hence, new strategies are required to connect researchers, datasets, biomedical knowledge and analysis algorithms, allowing them to fully exploit the true value behind state-of-the-art pharmacovigilance efforts. This manuscript introduces a new platform directed towards pharmacovigilance knowledge providers. This system, based on a service-oriented architecture, adopts a plugin-based approach to solve fundamental pharmacovigilance software challenges. With the wealth of collected clinical and pharmaceutical data, it is now possible to connect knowledge providers' analysis and exploration algorithms with real data. As a result, new strategies allow a faster identification of high-risk interactions between marketed drugs and adverse events, and enable the automated uncovering of scientific evidence behind them. With this architecture, the pharmacovigilance field has a new platform to coordinate large-scale drug evaluation efforts in a unique ecosystem, publicly available at http://bioinformatics.ua.pt/euadr/.

  12. The Scientific Exploration of Venus

    NASA Astrophysics Data System (ADS)

    Taylor, Fredric W.

    2014-12-01

    Part I. Views of Venus, from the Beginning to the Present Day: 1. The dawn of Venus exploration; 2. Mariner and Venera; 3. Pioneer Venus and Vega: orbiters, balloons and multi-probes; 4. Images of the surface; 5. The forgotten world; 6. Earth-based astronomy delivers a breakthrough; 7. Can't stop now; 8. Europe and Japan join in: Venus Express and Akatsuki; Part II. The Motivation to Continue the Quest: 9. Origin and evolution: the solid planet; 10. Atmosphere and ocean; 11. A volcanic world; 12. The mysterious clouds; 13. Superwinds and polar vortices; 14. The climate on Venus, past, present and future; 15. Could there be life on Venus?; Part III. Plans and Visions for the Future: 16. Solar system exploration; 17. Coming soon to a planet near you: planned Venus missions; 18. Towards the horizon: advanced technology; 19. Beyond the horizon: human expeditions; Epilogue; Appendix A. Chronology of space missions to Venus; Appendix B. Data about Venus.

  13. Smallsats, Cubesats and Scientific Exploration

    NASA Astrophysics Data System (ADS)

    Stofan, E. R.

    2015-12-01

    Smallsats (including Cubesats) have taken off in the aerospace research community - moving beyond simple tools for undergraduate and graduate students and into the mainstream of science research. Cubesats started the "smallsat" trend back in the late 1990's early 2000's, with the first Cubesats launching in 2003. NASA anticipates a number of future benefits from small satellite missions, including lower costs, more rapid development, higher risk tolerance, and lower barriers to entry for universities and small businesses. The Agency's Space Technology Mission Directorate is currently addressing technology gaps in small satellite platforms, while the Science Mission Directorate pursues miniaturization of science instruments. Launch opportunities are managed through the Cubesat Launch Initiative, and the Agency manages these projects as sub-orbital payloads with little program overhead. In this session we bring together scientists and technologists to discuss the current state of the smallsat field. We explore ideas for new investments, new instruments, or new applications that NASA should be investing in to expand the utility of smallsats. We discuss the status of a NASA-directed NRC study on the utility of small satellites. Looking to the future, what does NASA need to invest in now, to enable high impact ("decadal survey" level) science with smallsats? How do we push the envelope? We anticipate smallsats will contribute significantly to a more robust exploration and science program for NASA and the country.

  14. Scientific Balloons for Venus Exploration

    NASA Astrophysics Data System (ADS)

    Cutts, James; Yavrouian, Andre; Nott, Julian; Baines, Kevin; Limaye, Sanjay; Wilson, Colin; Kerzhanovich, Viktor; Voss, Paul; Hall, Jeffery

    Almost 30 years ago, two balloons were successfully deployed into the atmosphere of Venus as an element of the VeGa - Venus Halley mission conducted by the Soviet Union. As interest in further Venus exploration grows among the established planetary exploration agencies - in Europe, Japan, Russia and the United States, use of balloons is emerging as an essential part of that investigative program. Venus balloons have been proposed in NASA’s Discovery program and ESA’s cosmic vision program and are a key element in NASA’s strategic plan for Venus exploration. At JPL, the focus for the last decade has been on the development of a 7m diameter superpressure pressure(twice that of VeGa) capable of carrying a 100 kg payload (14 times that of VeGA balloons), operating for more than 30 days (15 times the 2 day flight duration of the VeGa balloons) and transmitting up to 20 Mbit of data (300 times that of VeGa balloons). This new generation of balloons must tolerate day night transitions on Venus as well as extended exposure to the sulfuric acid environment. These constant altitude balloons operating at an altitude of about 55 km on Venus where temperatures are benign can also deploy sondes to sound the atmosphere beneath the probe and deliver deep sondes equipped to survive and operate down to the surface. The technology for these balloons is now maturing rapidly and we are now looking forward to the prospects for altitude control balloons that can cycle repeatedly through the Venus cloud region. One concept, which has been used for tropospheric profiling in Antarctica, is the pumped-helium balloon, with heritage to the anchor balloon, and would be best adapted for flight above the 55 km level. Phase change balloons, which use the atmosphere as a heat engine, can be used to investigate the lower cloud region down to 30 km. Progress in components for high temperature operation may also enable investigation of the deep atmosphere of Venus with metal-based balloons.

  15. Unified Access Architecture for Large-Scale Scientific Datasets

    NASA Astrophysics Data System (ADS)

    Karna, Risav

    2014-05-01

    Data-intensive sciences have to deploy diverse large scale database technologies for data analytics as scientists have now been dealing with much larger volume than ever before. While array databases have bridged many gaps between the needs of data-intensive research fields and DBMS technologies (Zhang 2011), invocation of other big data tools accompanying these databases is still manual and separate the database management's interface. We identify this as an architectural challenge that will increasingly complicate the user's work flow owing to the growing number of useful but isolated and niche database tools. Such use of data analysis tools in effect leaves the burden on the user's end to synchronize the results from other data manipulation analysis tools with the database management system. To this end, we propose a unified access interface for using big data tools within large scale scientific array database using the database queries themselves to embed foreign routines belonging to the big data tools. Such an invocation of foreign data manipulation routines inside a query into a database can be made possible through a user-defined function (UDF). UDFs that allow such levels of freedom as to call modules from another language and interface back and forth between the query body and the side-loaded functions would be needed for this purpose. For the purpose of this research we attempt coupling of four widely used tools Hadoop (hadoop1), Matlab (matlab1), R (r1) and ScaLAPACK (scalapack1) with UDF feature of rasdaman (Baumann 98), an array-based data manager, for investigating this concept. The native array data model used by an array-based data manager provides compact data storage and high performance operations on ordered data such as spatial data, temporal data, and matrix-based data for linear algebra operations (scidbusr1). Performances issues arising due to coupling of tools with different paradigms, niche functionalities, separate processes and output

  16. Fundamental research on Mars exploration using scientific exploration roving vehicles

    NASA Astrophysics Data System (ADS)

    Kawashima, Nobuki; Nakatani, Ichirou; Kawaguchi, Junichirou; Koyama, Kouichirou; Hasegawa, Norimi; Kinkori, Shuuzou; Suzuki, Manji; Kojima, Masaki; Saitou, Kenji; Adachi, Tsuguo

    1991-07-01

    The following fundamental items concerning Mars scientific exploration roving vehicles are reviewed: (1) special technical aspects; (2) review subjects; (3) purpose of the exploration; (4) methods of underground exploration; (5) other possible methods of scientific exploration; and (6) roving vehicle configuration. Communication between roving vehicles and the Earth, and the stringent environments on Mars are addressed. The driving system, roving distance, and the automatic driving system of the rovers are also presented. Focus is on the underground survey of Mars to check the existence of water or organic substance. The exploration methods covered are as follows: (1) analysis of samples excavated by mechanical drilling; and (2) electromagnetic measurement or sounding using artificial or natural earthquakes in order to explore deeper underground areas where samples can not be obtained by mechanical drilling.

  17. Salt Crystals: Exploring the Scientific Method.

    ERIC Educational Resources Information Center

    McBride, John; Villanueva, Roy

    1997-01-01

    Describes an activity in which students apply the scientific method as they explore each step of crystal growing. Students select variables, record daily observations, and participate in discussions about the differences in crystal formation. Crystal recipe and procedures are provided. (DDR)

  18. Apollo scientific exploration of the moon

    NASA Technical Reports Server (NTRS)

    Compton, W. D.

    1987-01-01

    The fundamental dichotomy of space exploration, unmanned versus manned projects, is discussed from an historical perspective. The integration of science into Apollo operations is examined with attention given to landing sites, extending the missions, and crew selection. A Science Working Group composed of scientists and Manned Spacecraft Center flight planners was formed in an attempt to produce the most scientific information possible within those operational limits that were considered absolutely inviolable.

  19. Manned flight and planetary scientific exploration.

    NASA Astrophysics Data System (ADS)

    Muller, Christian; Moreau, Didier

    2014-05-01

    Human explorers had a fundamental role in the success of the APOLLO moon programme, they were at the same time the indispensable pilots, scientific operators and on the last missions lead scientists. Since, man did not either return to the moon or land on Mars but manned operation centres on the earth are now conducting extensive telescience on both celestial bodies. Manned flights to moon, Mars and asteroids are however still on the agenda and even if the main drive of these projects is outside science, it is to the planetary scientists to both prepare the data bases necessary for these flights and to ensure that the scientific advantage of conducting research in real time and in situ is exploited to the maximum. The current manned flight programme in Europe concentrates on the use of the International Space Station, the scientific activities can be roughly divided between the pressurized payloads and the external payloads. Technology developments occur also in parallel and prepare new exploration techniques. The current planning leads to exploitation up to 2020 but the space agencies study further extensions, the date of 2028 having already been considered. The relation of these programmes to future manned planetary exploration will be described both from the science and development point of view. The complementary role of astronauts and ground operation centres will be described on the basis of the current experience of operation centres managing the International Space Station. Finally, the NASA ORION project of exploration in the solar system will be described with emphasis on its current European participations. The science opportunities presented by independent ventures as Inspiration Mars or Mars One will be presented.

  20. Exploring HPCS Languages in Scientific Computing

    SciTech Connect

    Barrett, Richard F; Alam, Sadaf R; de Almeida, Valmor F; Bernholdt, David E; Elwasif, Wael R; Kuehn, Jeffery A; Poole, Stephen W; Shet, Aniruddha G

    2008-01-01

    As computers scale up dramatically to tens and hundreds of thousands of cores, develop deeper computational and memory hierarchies, and increased heterogeneity, developers of scientific software are increasingly challenged to express complex parallel simulations effectively and efficiently. In this paper, we explore the three languages developed under the DARPA High-Productivity Computing Systems (HPCS) program to help address these concerns: Chapel, Fortress, and X10. These languages provide a variety of features not found in currently popular HPC programming environments and make it easier to express powerful computational constructs, leading to new ways of thinking about parallel programming. Though the languages and their implementations are not yet mature enough for a comprehensive evaluation, we discuss some of the important features, and provide examples of how they can be used in scientific computing. We believe that these characteristics will be important to the future of high-performance scientific computing, whether the ultimate language of choice is one of the HPCS languages or something else.

  1. Scientific field training for human planetary exploration

    NASA Astrophysics Data System (ADS)

    Lim, D. S. S.; Warman, G. L.; Gernhardt, M. L.; McKay, C. P.; Fong, T.; Marinova, M. M.; Davila, A. F.; Andersen, D.; Brady, A. L.; Cardman, Z.; Cowie, B.; Delaney, M. D.; Fairén, A. G.; Forrest, A. L.; Heaton, J.; Laval, B. E.; Arnold, R.; Nuytten, P.; Osinski, G.; Reay, M.; Reid, D.; Schulze-Makuch, D.; Shepard, R.; Slater, G. F.; Williams, D.

    2010-05-01

    Forthcoming human planetary exploration will require increased scientific return (both in real time and post-mission), longer surface stays, greater geographical coverage, longer and more frequent EVAs, and more operational complexities than during the Apollo missions. As such, there is a need to shift the nature of astronauts' scientific capabilities to something akin to an experienced terrestrial field scientist. To achieve this aim, the authors present a case that astronaut training should include an Apollo-style curriculum based on traditional field school experiences, as well as full immersion in field science programs. Herein we propose four Learning Design Principles (LDPs) focused on optimizing astronaut learning in field science settings. The LDPs are as follows: LDP#1: Provide multiple experiences: varied field science activities will hone astronauts' abilities to adapt to novel scientific opportunities LDP#2: Focus on the learner: fostering intrinsic motivation will orient astronauts towards continuous informal learning and a quest for mastery LDP#3: Provide a relevant experience - the field site: field sites that share features with future planetary missions will increase the likelihood that astronauts will successfully transfer learning LDP#4: Provide a social learning experience - the field science team and their activities: ensuring the field team includes members of varying levels of experience engaged in opportunities for discourse and joint problem solving will facilitate astronauts' abilities to think and perform like a field scientist. The proposed training program focuses on the intellectual and technical aspects of field science, as well as the cognitive manner in which field scientists experience, observe and synthesize their environment. The goal of the latter is to help astronauts develop the thought patterns and mechanics of an effective field scientist, thereby providing a broader base of experience and expertise than could be achieved

  2. Scientific rationale for Saturn's in situ exploration

    NASA Astrophysics Data System (ADS)

    Mousis, O.; Fletcher, L. N.; Lebreton, J.-P.; Wurz, P.; Cavalié, T.; Coustenis, A.; Courtin, R.; Gautier, D.; Helled, R.; Irwin, P. G. J.; Morse, A. D.; Nettelmann, N.; Marty, B.; Rousselot, P.; Venot, O.; Atkinson, D. H.; Waite, J. H.; Reh, K. R.; Simon, A. A.; Atreya, S.; André, N.; Blanc, M.; Daglis, I. A.; Fischer, G.; Geppert, W. D.; Guillot, T.; Hedman, M. M.; Hueso, R.; Lellouch, E.; Lunine, J. I.; Murray, C. D.; O`Donoghue, J.; Rengel, M.; Sánchez-Lavega, A.; Schmider, F.-X.; Spiga, A.; Spilker, T.; Petit, J.-M.; Tiscareno, M. S.; Ali-Dib, M.; Altwegg, K.; Bolton, S. J.; Bouquet, A.; Briois, C.; Fouchet, T.; Guerlet, S.; Kostiuk, T.; Lebleu, D.; Moreno, R.; Orton, G. S.; Poncy, J.

    2014-12-01

    Remote sensing observations meet some limitations when used to study the bulk atmospheric composition of the giant planets of our solar system. A remarkable example of the superiority of in situ probe measurements is illustrated by the exploration of Jupiter, where key measurements such as the determination of the noble gases' abundances and the precise measurement of the helium mixing ratio have only been made available through in situ measurements by the Galileo probe. This paper describes the main scientific goals to be addressed by the future in situ exploration of Saturn placing the Galileo probe exploration of Jupiter in a broader context and before the future probe exploration of the more remote ice giants. In situ exploration of Saturn's atmosphere addresses two broad themes that are discussed throughout this paper: first, the formation history of our solar system and second, the processes at play in planetary atmospheres. In this context, we detail the reasons why measurements of Saturn's bulk elemental and isotopic composition would place important constraints on the volatile reservoirs in the protosolar nebula. We also show that the in situ measurement of CO (or any other disequilibrium species that is depleted by reaction with water) in Saturn's upper troposphere may help constraining its bulk O/H ratio. We compare predictions of Jupiter and Saturn's bulk compositions from different formation scenarios, and highlight the key measurements required to distinguish competing theories to shed light on giant planet formation as a common process in planetary systems with potential applications to most extrasolar systems. In situ measurements of Saturn's stratospheric and tropospheric dynamics, chemistry and cloud-forming processes will provide access to phenomena unreachable to remote sensing studies. Different mission architectures are envisaged, which would benefit from strong international collaborations, all based on an entry probe that would descend

  3. Environmental Resilience: Exploring Scientific Concepts for ...

    EPA Pesticide Factsheets

    Report This report summarizes two Community Environmental Resilience Index workshops held at EPA in May and July of 2014. The workshops explored scientific concepts for building an index of indicators of community environmental resilience to natural or human-caused disasters. The index could be used to support disaster decision-making. Key workshop outcomes include: a working definition of environmental resilience and insight into how it relates to EPA's mission and Strategic Goals, a call for an inventory of EPA resiliency tools, a preliminary list of indicators and CERI structure, identification of next steps for index development, and emergence of a network of collaborators. The report can be used to support EPA's work in resilience under PPD-8, PPD-21, and the national response and disaster recovery frameworks. It can feed into interagency efforts on building community resilience.

  4. Omicseq: a web-based search engine for exploring omics datasets.

    PubMed

    Sun, Xiaobo; Pittard, William S; Xu, Tianlei; Chen, Li; Zwick, Michael E; Jiang, Xiaoqian; Wang, Fusheng; Qin, Zhaohui S

    2017-04-10

    The development and application of high-throughput genomics technologies has resulted in massive quantities of diverse omics data that continue to accumulate rapidly. These rich datasets offer unprecedented and exciting opportunities to address long standing questions in biomedical research. However, our ability to explore and query the content of diverse omics data is very limited. Existing dataset search tools rely almost exclusively on the metadata. A text-based query for gene name(s) does not work well on datasets wherein the vast majority of their content is numeric. To overcome this barrier, we have developed Omicseq, a novel web-based platform that facilitates the easy interrogation of omics datasets holistically to improve 'findability' of relevant data. The core component of Omicseq is trackRank, a novel algorithm for ranking omics datasets that fully uses the numerical content of the dataset to determine relevance to the query entity. The Omicseq system is supported by a scalable and elastic, NoSQL database that hosts a large collection of processed omics datasets. In the front end, a simple, web-based interface allows users to enter queries and instantly receive search results as a list of ranked datasets deemed to be the most relevant. Omicseq is freely available at http://www.omicseq.org.

  5. SciSpark's SRDD : A Scientific Resilient Distributed Dataset for Multidimensional Data

    NASA Astrophysics Data System (ADS)

    Palamuttam, R. S.; Wilson, B. D.; Mogrovejo, R. M.; Whitehall, K. D.; Mattmann, C. A.; McGibbney, L. J.; Ramirez, P.

    2015-12-01

    Remote sensing data and climate model output are multi-dimensional arrays of massive sizes locked away in heterogeneous file formats (HDF5/4, NetCDF 3/4) and metadata models (HDF-EOS, CF) making it difficult to perform multi-stage, iterative science processing since each stage requires writing and reading data to and from disk. We have developed SciSpark, a robust Big Data framework, that extends ApacheTM Spark for scaling scientific computations. Apache Spark improves the map-reduce implementation in ApacheTM Hadoop for parallel computing on a cluster, by emphasizing in-memory computation, "spilling" to disk only as needed, and relying on lazy evaluation. Central to Spark is the Resilient Distributed Dataset (RDD), an in-memory distributed data structure that extends the functional paradigm provided by the Scala programming language. However, RDDs are ideal for tabular or unstructured data, and not for highly dimensional data. The SciSpark project introduces the Scientific Resilient Distributed Dataset (sRDD), a distributed-computing array structure which supports iterative scientific algorithms for multidimensional data. SciSpark processes data stored in NetCDF and HDF files by partitioning them across time or space and distributing the partitions among a cluster of compute nodes. We show usability and extensibility of SciSpark by implementing distributed algorithms for geospatial operations on large collections of multi-dimensional grids. In particular we address the problem of scaling an automated method for finding Mesoscale Convective Complexes. SciSpark provides a tensor interface to support the pluggability of different matrix libraries. We evaluate performance of the various matrix libraries in distributed pipelines, such as Nd4jTM and BreezeTM. We detail the architecture and design of SciSpark, our efforts to integrate climate science algorithms, parallel ingest and partitioning (sharding) of A-Train satellite observations from model grids. These

  6. Ice-Penetrating Robot for Scientific Exploration

    NASA Technical Reports Server (NTRS)

    Zimmerman, Wayne; Carsey, Frank; French, Lloyd

    2007-01-01

    The cryo-hydro integrated robotic penetrator system (CHIRPS) is a partially developed instrumentation system that includes a probe designed to deeply penetrate the European ice sheet in a search for signs of life. The CHIRPS could also be used on Earth for similar exploration of the polar ice caps especially at Lake Vostok in Antarctica. The CHIRPS probe advances downward by a combination of simple melting of ice (typically for upper, non-compacted layers of an ice sheet) or by a combination of melting of ice and pumping of meltwater (typically, for deeper, compacted layers). The heat and electric power for melting, pumping, and operating all of the onboard instrumentation and electronic circuitry are supplied by radioisotope power sources (RPSs) and thermoelectric converters energized by the RPSs. The instrumentation and electronic circuitry includes miniature guidance and control sensors and an advanced autonomous control system that has fault-management capabilities. The CHIRPS probe is about 1 m long and 15 cm in diameter. The RPSs generate a total thermal power of 1.8 kW. Initially, as this power melts the surrounding ice, a meltwater jacket about 1 mm thick forms around the probe. The center of gravity of the probe is well forward (down), so that the probe is vertically stabilized like a pendulum. Heat is circulated to the nose by means of miniature pumps and heat pipes. The probe melts ice to advance in a step-wise manner: Heat is applied to the nose to open up a melt void, then heat is applied to the side to allow the probe to slip down into the melt void. The melt void behind the probe is allowed to re-freeze. Four quadrant heaters on the nose and another four quadrant heaters on the rear (upper) surface of the probe are individually controllable for steering: Turning on two adjacent nose heaters on the nose and two adjacent heaters on the opposite side at the rear causes melt voids to form on opposing sides, such that the probe descends at an angle from

  7. Leveraging domain knowledge to facilitate visual exploration of large population datasets.

    PubMed

    Hsu, William; Bui, Alex A T

    2013-01-01

    Observational patient data provides an unprecedented opportunity to gleam new insights into diseases and assess patient quality of care, but a challenge lies in matching our ability to collect data with a comparable ability to understand and apply this information. Visual analytic techniques are promising as they permit the exploration and manipulation of complex datasets through a graphical user interface. Nevertheless, current visualization tools rely on users to manually configure which aspects of the dataset are shown and how they are presented. In this paper, we describe an approach that utilizes characteristics of the data and domain knowledge to assist users with summarizing the information space of a large population. We present a representation that captures contextual information about the data and constructs that operate on this information to tailor the data's presentation. We describe a use case of this approach in exploring a claims dataset of individuals with spinal dysraphism.

  8. Space Exploration as a Human Enterprise: The Scientific Interest

    ERIC Educational Resources Information Center

    Sagan, Carl

    1973-01-01

    Presents examples which illustrate the importance of space exploration in diverse aspects of scientific knowledge. Indicates that human beings are today not wise enough to anticipate the practical benefits of planetary studies. (CC)

  9. Scientific Opportunities with ispace, a Lunar Exploration Company

    NASA Astrophysics Data System (ADS)

    Acierno, K. T.

    2016-11-01

    This presentation introduces ispace, a Tokyo-based lunar exploration company. Technology applied to the Team Hakuto Google Lunar XPRIZE mission will be described. Finally, it will discuss how developing low cost and mass efficient rovers can support scientific opportunities.

  10. The Role of the Spacecraft Operator in Scientific Exploration

    NASA Astrophysics Data System (ADS)

    Love, S. G.

    2011-03-01

    Pilot and flight engineer crew members can improve scientific exploration missions and effectively support field work that they may not understand by contributing leadership, teamwork, communication, and operational thinking skills.

  11. Future scientific exploration of Taurus-Littrow

    NASA Technical Reports Server (NTRS)

    Taylor, G. Jeffrey

    1992-01-01

    The Apollo 17 site was surveyed with great skill and the collected samples have been studied thoroughly (but not completely) in the 20 years since. Ironically, the success of the field and sample studies makes the site an excellent candidate for a return mission. Rather than solving all the problems, the Apollo 17 mission provided a set of sophisticated questions that can be answered only by returning to the site and exploring further. This paper addresses the major unsolved problems in lunar science and points out the units at the Apollo 17 site that are most suitable for addressing each problem. It then discusses how crucial data can be obtained by robotic rovers and human field work. I conclude that, in general, the most important information can be obtained only by human exploration. The paper ends with some guesses about what we could have learned at the Apollo 17 site from a fairly sophisticated rover capable of in situ analyses, instead of sending people.

  12. Scientific objectives of human exploration of Mars

    USGS Publications Warehouse

    Carr, M.H.

    1996-01-01

    While human exploration of Mars is unlikely to be undertaken for science reasons alone, science will be the main beneficiary. A wide range of science problems can be addressed at Mars. The planet formed in a different part of the solar system from the Earth and retains clues concerning compositional and environmental conditions in that part of the solar system when the planets formed. Mars has had a long and complex history that has involved almost as wide a range of processes as occurred on Earth. Elucidation of this history will require a comprehensive program of field mapping, geophysical sounding, in situ analyses, and return of samples to Earth that are representative of the planet's diversity. The origin and evolution of the Mars' atmosphere are very different from the Earth's, Mars having experienced major secular and cyclical changes in climate. Clues as to precisely how the atmosphere has evolved are embedded in its present chemistry, possibly in surface sinks of former atmosphere-forming volatiles, and in the various products of interaction between the atmosphere and surface. The present atmosphere also provides a means of testing general circulation models applicable to all planets. Although life is unlikely to be still extant on Mars, life may have started early in the planet's history. A major goal of any future exploration will, therefore, be to search for evidence of indigenous life.

  13. Future Visions for Scientific Human Exploration

    NASA Technical Reports Server (NTRS)

    Garvin, James

    2005-01-01

    Today, humans explore deep-space locations such as Mars, asteroids, and beyond, vicariously here on Earth, with noteworthy success. However, to achieve the revolutionary breakthroughs that have punctuated the history of science since the dawn of the Space Age has always required humans as "the discoverers," as Daniel Boorstin contends in this book of the same name. During Apollo 17, human explorers on the lunar surface discovered the "genesis rock," orange glass, and humans in space revamped the optically crippled Hubble Space Telescope to enable some of the greatest astronomical discoveries of all time. Science-driven human exploration is about developing the opportunities for such events, perhaps associated with challenging problems such as whether we can identify life beyond Earth within the universe. At issue, however, is how to safely insert humans and the spaceflight systems required to allow humans to operate as they do best in the hostile environment of deep space. The first issue is minimizing the problems associated with human adaptation to the most challenging aspects of deep space space radiation and microgravity (or non-Earth gravity). One solution path is to develop technologies that allow for minimization of the exposure time of people to deep space, as was accomplished in Apollo. For a mission to the planet Mars, this might entail new technological solutions for in-space propulsion that would make possible time-minimized transfers to and from Mars. The problem of rapid, reliable in-space transportation is challenged by the celestial mechanics of moving in space and the so-called "rocket equation." To travel to Mars from Earth in less than the time fuel-minimizing trajectories allow (i.e., Hohmann transfers) requires an exponential increase in the amount of fuel. Thus, month-long transits would require a mass of fuel as large as the dry mass of the ISS, assuming the existence of continuous acceleration engines. This raises the largest technological

  14. Scientific preparations for lunar exploration with the European Lunar Lander

    NASA Astrophysics Data System (ADS)

    Carpenter, J. D.; Fisackerly, R.; De Rosa, D.; Houdou, B.

    2012-12-01

    Recent Lunar missions and new scientific results in multiple disciplines have shown that working and operating in the complex lunar environment and exploiting the Moon as a platform for scientific research and further exploration poses major challenges. Underlying these challenges are fundamental scientific unknowns regarding the Moon's surface, its environment, the effects of this environment and the availability of potential resources. The European Lunar Lander is a mission proposed by the European Space Agency to prepare for future exploration. The mission provides an opportunity to address some of these key unknowns and provide information of importance for future exploration activities. Areas of particular interest for investigation on the Lunar Lander include the integrated plasma, dust, charge and radiation environment and its effects, the properties of lunar dust and its physical effects on systems and physiological effects on humans, the availability, distribution and potential application of in situ resources for future exploration. A model payload has then been derived, taking these objectives to account and considering potential payloads proposed through a request for information, and the mission's boundary conditions. While exploration preparation has driven the definition there is a significant synergy with investigations associated with fundamental scientific questions. This paper discusses the scientific objectives for the ESA Lunar Lander Mission, which emphasise human exploration preparatory science and introduces the model scientific payload considered as part of the on-going mission studies, in advance of a formal instrument selection.

  15. ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery.

    PubMed

    Partl, Christian; Lex, Alexander; Streit, Marc; Strobelt, Hendrik; Wassermann, Anne-Mai; Pfister, Hanspeter; Schmalstieg, Dieter

    2014-12-01

    Large scale data analysis is nowadays a crucial part of drug discovery. Biologists and chemists need to quickly explore and evaluate potentially effective yet safe compounds based on many datasets that are in relationship with each other. However, there is a lack of tools that support them in these processes. To remedy this, we developed ConTour, an interactive visual analytics technique that enables the exploration of these complex, multi-relational datasets. At its core ConTour lists all items of each dataset in a column. Relationships between the columns are revealed through interaction: selecting one or multiple items in one column highlights and re-sorts the items in other columns. Filters based on relationships enable drilling down into the large data space. To identify interesting items in the first place, ConTour employs advanced sorting strategies, including strategies based on connectivity strength and uniqueness, as well as sorting based on item attributes. ConTour also introduces interactive nesting of columns, a powerful method to show the related items of a child column for each item in the parent column. Within the columns, ConTour shows rich attribute data about the items as well as information about the connection strengths to other datasets. Finally, ConTour provides a number of detail views, which can show items from multiple datasets and their associated data at the same time. We demonstrate the utility of our system in case studies conducted with a team of chemical biologists, who investigate the effects of chemical compounds on cells and need to understand the underlying mechanisms.

  16. Gaussian Cubes: Real-Time Modeling for Visual Exploration of Large Multidimensional Datasets.

    PubMed

    Wang, Zhe; Ferreira, Nivan; Wei, Youhao; Bhaskar, Aarthy Sankari; Scheidegger, Carlos

    2017-01-01

    Recently proposed techniques have finally made it possible for analysts to interactively explore very large datasets in real time. However powerful, the class of analyses these systems enable is somewhat limited: specifically, one can only quickly obtain plots such as histograms and heatmaps. In this paper, we contribute Gaussian Cubes, which significantly improves on state-of-the-art systems by providing interactive modeling capabilities, which include but are not limited to linear least squares and principal components analysis (PCA). The fundamental insight in Gaussian Cubes is that instead of precomputing counts of many data subsets (as state-of-the-art systems do), Gaussian Cubes precomputes the best multivariate Gaussian for the respective data subsets. As an example, Gaussian Cubes can fit hundreds of models over millions of data points in well under a second, enabling novel types of visual exploration of such large datasets. We present three case studies that highlight the visualization and analysis capabilities in Gaussian Cubes, using earthquake safety simulations, astronomical catalogs, and transportation statistics. The dataset sizes range around one hundred million elements and 5 to 10 dimensions. We present extensive performance results, a discussion of the limitations in Gaussian Cubes, and future research directions.

  17. Evaluating Techniques for Interactive Exploration and Visualization of Large Astronomical Datasets

    NASA Astrophysics Data System (ADS)

    Boch, T.; Pineau, F.-X.; Blegean, J.

    2015-09-01

    As large surveys of hundreds millions of objects are common, helping users locating their data subset of interest through interactive exploration and visualization is becoming a challenge of major concern. In this paper, we present two prototypes we developed to tackle this issue. Using Datavore and D3, we developed a pure-Javascript SPLOM (scatter plot matrix) visualizer taking a VOTable as an input. Linked views allow one to distinguish correlations between displayed attributes. This approach works well until 50k-100k objects, but does not scale beyond because of browsers limitations. For larger datasets, we adapted the Nanocubes datastructure initially created by AT&T Research for interactive visualization of spatial-temporal datasets. Our version, developed in Java, allows fast interactive visualization of a catalogue with hundred million rows for a few attributes. HiPS (Hierarchical Progressive Surveys) heatmaps are dynamically generated according to selected criteria and displayed in Aladin Lite. Eventually, we will discuss the benefits and limitations of these approaches, explore possible improvements and describe how these techniques might be integrated in existing CDS services.

  18. Language, Space, Time: Anthropological Tools and Scientific Exploration on Mars

    NASA Technical Reports Server (NTRS)

    Wales, Roxana

    2005-01-01

    This viewgraph presentation reviews the importance of social science disciplines in the scientific exploration of Mars. The importance of language, workspace, and time differences are reviewed. It would appear that the social scientist perspective in developing a completely new workspace, keeping track of new vocabulary and the different time zones (i.e., terrestrial and Martian) was useful.

  19. Internet Activities Using Scientific Data. A Self-Guided Exploration.

    ERIC Educational Resources Information Center

    Froseth, Stan; Poppe, Barbara

    This guide is intended for the secondary school teacher (especially math or science) or the student who wants to access and learn about scientific data on the Internet. It is organized as a self-guided exploration. Nine exercises enable the user to access and analyze on-line information from the National Oceanic and Atmospheric Administration…

  20. The Scientific Context for the Exploration of the Moon

    NASA Astrophysics Data System (ADS)

    Smith, David H.; Pieters, C. F.; Paulikas, G. A.

    2006-09-01

    The interim results of an NRC study, commissioned by NASA to provide scientific guidance for the lunar component of the Vision for Space Exploration, are presented. The study, undertaken by a committee of 15, is designed to examine the scientific challenges and opportunities opened up by a sustained program of robotic and human exploration of the Moon. In particular, the NRC has been asked to undertake two primary tasks--first, to identify a prioritized set of scientific goals that can be addressed in the near term by robotic lunar missions and in the mid term by astronauts on the Moon and, second, to determine which of the identified scientific goals are most amenable to orbital measurements, in situ study, or terrestrial analysis via the return of lunar samples to Earth--and two secondary tasks--first, to comment on those areas where there is a synergistic overlap between measurements addressing scientific goals and measurements required to ensure human survival and, second, to collect and characterize possible scientific goals that might be addressed on or from the Moon in the long term. The scientific scope of the study encompasses the history of the Moon and the Earth-Moon system, the origin and evolution of the Sun and planets, and implications for the origin and evolution of life on Earth and elsewhere in the solar system. The publication of the interim results is designed to promote a broad discussion about lunar science goals and to engage the national and international science and engineering communities in defining an appropriate lunar exploration program. A final report will be issued in the latter half of 2007.

  1. Adventures in supercomputing: Scientific exploration in an era of change

    SciTech Connect

    Gentry, E.; Helland, B.; Summers, B.

    1997-11-01

    Students deserve the opportunity to explore the world of science surrounding them. Therefore it is important that scientific exploration and investigation be a part of each student`s educational career. The Department of Energy`s Adventures in Superconducting (AiS) takes students beyond mere scientific literacy to a rich embodiment of scientific exploration. AiS provides today`s science and math students with a greater opportunity to investigate science problems, propose solutions, explore different methods of solving the problem, organize their work into a technical paper, and present their results. Students learn at different rates in different ways. Science classes with students having varying learning styles and levels of achievement have always been a challenge for teachers. The AiS {open_quotes}hands-on, minds-on{close_quotes} project-based method of teaching science meets the challenge of this diversity heads on! AiS uses the development of student chosen projects as the means of achieving a lifelong enthusiasm for scientific proficiency. One goal of AiS is to emulate the research that takes place in the everyday environment of scientists. Students work in teams and often collaborate with students nationwide. With the help of mentors from the academic and scientific community, students pose a problem in science, investigate possible solutions, design a mathematical and computational model for the problem, exercise the model to achieve results, and evaluate the implications of the results. The students then have the opportunity to present the project to their peers, teachers, and scientists. Using this inquiry-based technique, students learn more than science skills, they learn to reason and think -- going well beyond the National Science Education Standard. The teacher becomes a resource person actively working together with the students in their quest for scientific knowledge.

  2. Association Analysis for Visual Exploration of Multivariate Scientific Data Sets.

    PubMed

    Liu, Xiaotong; Shen, Han-Wei

    2016-01-01

    The heterogeneity and complexity of multivariate characteristics poses a unique challenge to visual exploration of multivariate scientific data sets, as it requires investigating the usually hidden associations between different variables and specific scalar values to understand the data's multi-faceted properties. In this paper, we present a novel association analysis method that guides visual exploration of scalar-level associations in the multivariate context. We model the directional interactions between scalars of different variables as information flows based on association rules. We introduce the concepts of informativeness and uniqueness to describe how information flows between scalars of different variables and how they are associated with each other in the multivariate domain. Based on scalar-level associations represented by a probabilistic association graph, we propose the Multi-Scalar Informativeness-Uniqueness (MSIU) algorithm to evaluate the informativeness and uniqueness of scalars. We present an exploration framework with multiple interactive views to explore the scalars of interest with confident associations in the multivariate spatial domain, and provide guidelines for visual exploration using our framework. We demonstrate the effectiveness and usefulness of our approach through case studies using three representative multivariate scientific data sets.

  3. Exploration of Antarctic Subglacial Aquatic Environments: Environmental and Scientific Stewardship

    NASA Astrophysics Data System (ADS)

    White, J. W.; Hobbie, J. E.; Baker, A.; Clarke, G.; Doran, P. T.; Karl, D.; Methe, B.; Miller, H.; Mukasa, S. B.; Race, M.; Vincent, W.; Walton, D.; Uhle, M.

    2007-12-01

    Antarctica is renowned for its extreme cold; yet surprisingly, there is liquid water at the base of the Antarctic ice sheet several kilometers beneath the surface. The exploration of these subglacial aquatic environments is in its initial stages, and many fundamental questions about these environments can only be answered by entering and sampling the water. Accordingly, the management of subglacial aquatic environments requires responsible environmental stewardship while allowing field research. As of early 2007, no one has yet drilled into a lake but entry within the next one or two years is likely. Thus, the challenge is to determine the best way of drilling into, extensively sampling, and monitoring these environments. While general guidelines for research in Antarctica are provided in the Antarctic Treaty, currently no clear protocols or standards for minimizing contamination have been established. At the request of the National Science Foundation (NSF), the National Research Council convened a committee to develop a set of environmental and scientific protection standards needed to responsibly explore the subglacial lake environments in Antarctica. Specifically, the committee was asked to define levels of cleanliness for equipment or devices entering subglacial aquatic environments, develop a sound scientific basis for contamination standards, and recommend the next steps needed to define an overall exploration strategy. This talk will present the findings of that committee. The committee included U.S. and international scientists, and gathered information from the global scientific community. Although a U.S. scientific advisory body produced this study, the committee hopes that its multinational makeup will be recognized and that the recommendations in this report will serve as a basis for broad international discussion about environmental stewardship for the exploration of subglacial aquatic environments.

  4. Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds

    SciTech Connect

    Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor

    2011-11-14

    As Cloud platforms gain increasing traction among scientific and business communities for outsourcing storage, computing and content delivery, there is also growing concern about the associated loss of control over private data hosted in the Cloud. In this paper, we present an architecture for a secure data repository service designed on top of a public Cloud infrastructure to support multi-disciplinary scientific communities dealing with personal and human subject data, motivated by the smart power grid domain. Our repository model allows users to securely store and share their data in the Cloud without revealing the plain text to unauthorized users, the Cloud storage provider or the repository itself. The system masks file names, user permissions and access patterns while providing auditing capabilities with provable data updates.

  5. Mars scientific exploration roving vehicles and drilling equipment

    NASA Astrophysics Data System (ADS)

    Saitou, Kenji; Kojima, Masaki; Kinkori, Shuuzou; Suzuki, Manji; Kawashima, Nobuki; Nakatani, Ichirou

    1991-07-01

    Running gears for the Mars scientific exploration roving vehicles and the drilling equipment for the vehicles used to conduct underground exploration are studied. Review results on moving, driving, and running system for the vehicle are presented. For the driving system, comparison between conventional wheel system and crawler system are shown in a comprehensive table, and measures for failures are suggested. As for the development of the drilling equipment, the following items are presented: (1) methods of underground exploration; (2) methods of drilling (core boring and auger boring); (3) specifications for and the results of trial production of the experimental boring machine; (4) results of experimental boring machine operation on a simulated Mars surface; and (5) excavating capability of the experimental boring machine.

  6. International Coordination of Space Exploration - A Scientific Perspective

    NASA Astrophysics Data System (ADS)

    Spiero, Francois; Hill, Juergen

    The International Space Exploration Coordination Group (ISECG) was created in 2007. It is a non-binding forum aiming at coordinating exploration activities of 14 space agencies around the world. The international group released the second version of the Global Exploration Roadmap (GER) in August 2013 and the document on Benefits Stemming from Space Exploration in September 2013. Subsequently, ISECG reviewed its coordination process and its working structure. This led, in early 2014, to the creation of a new ISECG committee: the Science Working Group (SWG). The two authors are the co-chairs of the SWG. The SWG's main purpose is to propose a concrete plan for a coordinated interaction between the exploration community and the science community, where appropriate to advance common goals. This effort could address priorities for the scientific content of missions to the exploration destinations: the Moon - including cis-lunar space -, Near Earth Objects and Mars. Science opportunities in the GER mission scenario are also reviewed. The paper will discuss the scope and approach of the ISECG Science Working Group.

  7. Computing Spatial Distance Histograms for Large Scientific Datasets On-the-Fly

    PubMed Central

    Kumar, Anand; Grupcev, Vladimir; Yuan, Yongke; Huang, Jin; Shen, Gang

    2014-01-01

    This paper focuses on an important query in scientific simulation data analysis: the Spatial Distance Histogram (SDH). The computation time of an SDH query using brute force method is quadratic. Often, such queries are executed continuously over certain time periods, increasing the computation time. We propose highly efficient approximate algorithm to compute SDH over consecutive time periods with provable error bounds. The key idea of our algorithm is to derive statistical distribution of distances from the spatial and temporal characteristics of particles. Upon organizing the data into a Quad-tree based structure, the spatiotemporal characteristics of particles in each node of the tree are acquired to determine the particles’ spatial distribution as well as their temporal locality in consecutive time periods. We report our efforts in implementing and optimizing the above algorithm in Graphics Processing Units (GPUs) as means to further improve the efficiency. The accuracy and efficiency of the proposed algorithm is backed by mathematical analysis and results of extensive experiments using data generated from real simulation studies. PMID:25264418

  8. PEGASO . Polar Explorer for Geomagnetic And other Scientific Observation

    NASA Astrophysics Data System (ADS)

    Romeo, G.; Di Stefano, G.; Di Felice, F.; Caprara, F.; Iarocci, A.; Peterzen, S.; Masi, S.; Spoto, D.; Ibba, R.; Musso, I.; Dragoy, P.

    PEGASO (Polar Explorer for Geomagnetic And other Scientific Observation) program has been created to conduct small experiments in as many disciplines on-board of small stratospheric balloons. PEGASO uses the very low expensive pathfinder balloons. Stratospheric pathfinders are small balloons commonly used to explore the atmospheric circumpolar upper winds and to predict the trajectory for big LDBs (Long Duration Balloons). Installing scientific instruments on pathfinder and using solar energy to power supply the system, we have the opportunity to explorer the Polar Regions, during the polar summer, following circular trajectory. These stratospheric small payload have flown for 14 up to 40 days, measuring the magnetic field of polar region, by means of 3-axis-fluxgate magnetometer. PEGASO payload uses IRIDIUM satellite telemetry (TM). A ground station communicates with one or more payloads to download scientific and house-keeping data and to send commands for ballast releasing, for system resetting and for operating on the separator system at the flight end. The PEGASO missions have been performed from the Svalbard islands with the logistic collaboration of the Andoya Rocket Range and from the Antarctic Italian base. Continuous trajectory predictions, elaborated by Institute of Information Science and Technology (ISTI-CNR), were necessary for the flight safety requirements in the north hemisphere. This light payloads (<10 Kg) are realized by the cooperation between the INGV and the Physics department "La Sapienza" University and it has operated five times in polar areas with the sponsorship of Italian Antarctic Program (PNRA), Italian Space Agency (ASI). This paper summarizes important results about stratospheric missions.

  9. Case-History Explorations of Scientifically Significant Earth-System Events

    NASA Astrophysics Data System (ADS)

    Hall, M. K.; Walker, C. S.; Mayhew, M. A.

    2007-12-01

    We are developing case histories of recent and ancient natural disasters to provide students a means of learning fundamental earth system science and applying their new understanding to mitigating disasters in the future. We distinguish case histories from case studies in that they investigate real problems that are likely to recur, as opposed to hypothetical but realistic problem scenarios. Students explore the scientific and societal conditions that caused or fueled a disaster; investigate whether the outcome might have been different under different conditions; explore how the disaster has shaped our scientific and societal understanding of such events; and propose appropriate responses and preparation measures for future events. Each case history allows for multiple directions of investigation by individuals or teams. The case histories incorporate actual datasets used by scientists to analyze the event, in addition to analysis tools such as GIS, Excel, and Google Earth. These classroom resources are appropriate for undergraduate earth system majors from first year to third year. We have completed and are field testing case histories for the 1994 M6.7 Northridge earthquake and the Super Tornado Outbreak of 1974, as well as other notable tornado outbreaks. Additionally, we are developing case histories for the 1700 Cascadia mega-tsunami and the 2005 Hurricane Katrina. Research studies of each of these events have resulted in significant changes to our understanding of the earth processes that caused them, and have spawned renewed interest in hazard mitigation. Each case history also incorporates the human element, presented from both a scientific and eyewitness perspective. Field testing includes evaluation of scientific accuracy, usability and pedagogical effectiveness, as described in the DLESE peer-review-system criteria (www.dlese-project.org/review_criteria.html) by field testers and external technical experts.

  10. Dame:. a Web Oriented Infrastructure for Scientific Data Mining and Exploration

    NASA Astrophysics Data System (ADS)

    Cavuoti, S.; Brescia, M.; Longo, G.; Garofalo, M.; Nocella, A.

    2012-12-01

    Nowadays, many scientific areas share the same broad requirements of being able to deal with massive and distributed datasets while, when possible, being integrated with services and applications. In order to solve the growing gap between the incremental generation of data and our understanding of it, it is required to know how to access, retrieve, analyze, mine and integrate data from disparate sources. One of the fundamental aspects of any new generation of data mining software tool or package which really wants to become a service for the community is the possibility to use it within complex workflows which each user can fine tune in order to match the specific demands of his scientific goal. These workflows need often to access different resources (data, providers, computing facilities and packages) and require a strict interoperability on (at least) the client side. The project DAME (DAta Mining & Exploration) arises from these requirements by providing a distributed WEB-based data mining infrastructure specialized on Massive Data Sets exploration with Soft Computing and machine learning methods. It results as a multi-disciplinary platform-independent tool perfectly compliant with modern KDD (Knowledge Discovery in Databases) requirements and Information & Communication Technology trends.

  11. What Scientific Objectives Have Been Defined by the French Scientific Community for Mars Exploration?

    NASA Astrophysics Data System (ADS)

    Sotin, Christophe

    2000-07-01

    Every four or five years, the French scientific community is invited by the French space agency (CNES) to define the scientific priorities of the forthcoming years. The last workshop took place in March 98 in Arcachon, France. During this three-day workshop, it was clear that the study of Mars was very attractive for everyone because it is a planet very close to the Earth and its study should allow us to better understand the chemical and physical processes which drive the evolution of a planet by comparing the evolution of the two planets. For example, the study of Mars should help to understand the relationship between mantle convection and plate tectonics, the way magnetic dynamo works, and which conditions allowed life to emerge and evolve on Earth. The Southern Hemisphere of planet Mars is very old and it should have recorded some clues on the planetary evolution during the first billion years, a period for which very little is known for the Earth because both plate tectonics and weathering have erased the geological record. The international scientific community defined the architecture of Mars exploration program more than ten years ago. After the scientific discoveries made (and to come) with orbiters and landers, it appeared obvious that the next steps to be prepared are the delivery of networks on the surface and the study of samples returned from Mars. Scientific objectives related to network science include the determination of the different shells which compose the planet, the search for water in the subsurface, the record of atmospheric parameters both in time and space. Those related to the study of samples include the understanding of the differentiation of the planet and the fate of volatiles (including H2O) thanks to very accurate isotopic measurements which can be performed in laboratories, the search for minerals which can prove that life once existed on Mars, the search for present life on Mars (bacteria). Viking landers successfully landed on

  12. Explore Earth Science Datasets for STEM with the NASA GES DISC Online Visualization and Analysis Tool, Giovanni

    NASA Technical Reports Server (NTRS)

    Liu, Z.; Acker, J.; Kempler, S.

    2016-01-01

    The NASA Goddard Earth Sciences (GES) Data and Information Services Center(DISC) is one of twelve NASA Science Mission Directorate (SMD) Data Centers that provide Earth science data, information, and services to users around the world including research and application scientists, students, citizen scientists, etc. The GESDISC is the home (archive) of remote sensing datasets for NASA Precipitation and Hydrology, Atmospheric Composition and Dynamics, etc. To facilitate Earth science data access, the GES DISC has been developing user-friendly data services for users at different levels in different countries. Among them, the Geospatial Interactive Online Visualization ANd aNalysis Infrastructure (Giovanni, http:giovanni.gsfc.nasa.gov) allows users to explore satellite-based datasets using sophisticated analyses and visualization without downloading data and software, which is particularly suitable for novices (such as students) to use NASA datasets in STEM (science, technology, engineering and mathematics) activities. In this presentation, we will briefly introduce Giovanni along with examples for STEM activities.

  13. "Controlled, cross-species dataset for exploring biases in genome annotation and modification profiles".

    PubMed

    McAfee, Alison; Michaud, Sarah; Foster, Leonard J

    2015-12-01

    Since the sequencing of the honey bee genome, proteomics by mass spectrometry has become increasingly popular for biological analyses of this insect; but we have observed that the number of honey bee protein identifications is consistently low compared to other organisms [1]. In this dataset, we use nanoelectrospray ionization-coupled liquid chromatography-tandem mass spectrometry (nLC-MS/MS) to systematically investigate the root cause of low honey bee proteome coverage. To this end, we present here data from three key experiments: a controlled, cross-species analyses of samples from Apis mellifera, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Mus musculus and Homo sapiens; a proteomic analysis of an individual honey bee whose genome was also sequenced; and a cross-tissue honey bee proteome comparison. The cross-species dataset was interrogated to determine relative proteome coverages between species, and the other two datasets were used to search for polymorphic sequences and to compare protein cleavage profiles, respectively.

  14. Exploration of Korean Students' Scientific Imagination Using the Scientific Imagination Inventory

    ERIC Educational Resources Information Center

    Mun, Jiyeong; Mun, Kongju; Kim, Sung-Won

    2015-01-01

    This article reports on the study of the components of scientific imagination and describes the scales used to measure scientific imagination in Korean elementary and secondary students. In this study, we developed an inventory, which we call the Scientific Imagination Inventory (SII), in order to examine aspects of scientific imagination. We…

  15. Small Explorer for Advanced Missions - cubesat for scientific mission

    NASA Astrophysics Data System (ADS)

    Pronenko, Vira; Ivchenko, Nickolay

    2015-04-01

    A class of nanosatellites is defined by the cubesat standard, primarily setting the interface to the launcher, which allows standardizing cubesat preparation and launch, thus making the projects more affordable. The majority of cubesats have been launched are demonstration or educational missions. For scientific and other advanced missions to fully realize the potential offered by the low cost nanosatellites, there are challenges related to limitations of the existing cubesat platforms and to the availability of small yet sufficiently sensitive sensors. The new project SEAM (Small Explorer for Advanced Missions) was selected for realization in frames of FP-7 European program to develop a set of improved critical subsystems and to construct a prototype nanosatellite in the 3U cubesat envelope for electromagnetic measurements in low Earth orbit. The SEAM consortium will develop and demonstrate in flight for the first time the concept of an electromagnetically clean nanosatellite with precision attitude determination, flexible autonomous data acquisition system, high-bandwidth telemetry and an integrated solution for ground control and data handling. As the first demonstration, the satellite is planned to perform the Space Weather (SW) mission using novel miniature electric and magnetic sensors, able to provide science-grade measurements. To enable sensitive magnetic measurements onboard, the sensors must be deployed on booms to bring them away from the spacecraft body. Also other thorough yet efficient procedures will be developed to provide electromagnetic cleanliness (EMC) of the spacecraft. This work is supported by EC Framework 7 funded project 607197.

  16. Crew roles and interactions in scientific space exploration

    NASA Astrophysics Data System (ADS)

    Love, Stanley G.; Bleacher, Jacob E.

    2013-10-01

    Future piloted space exploration missions will focus more on science than engineering, a change which will challenge existing concepts for flight crew tasking and demand that participants with contrasting skills, values, and backgrounds learn to cooperate as equals. In terrestrial space flight analogs such as Desert Research And Technology Studies, engineers, pilots, and scientists can practice working together, taking advantage of the full breadth of all team members' training to produce harmonious, effective missions that maximize the time and attention the crew can devote to science. This paper presents, in a format usable as a reference by participants in the field, a successfully tested crew interaction model for such missions. The model builds upon the basic framework of a scientific field expedition by adding proven concepts from aviation and human space flight, including expeditionary behavior and cockpit resource management, cooperative crew tasking and adaptive leadership and followership, formal techniques for radio communication, and increased attention to operational considerations. The crews of future space flight analogs can use this model to demonstrate effective techniques, learn from each other, develop positive working relationships, and make their expeditions more successful, even if they have limited time to train together beforehand. This model can also inform the preparation and execution of actual future space flights.

  17. Crew Roles and Interactions in Scientific Space Exploration

    NASA Technical Reports Server (NTRS)

    Love, Stanley G.; Bleacher, Jacob E.

    2013-01-01

    Future piloted space exploration missions will focus more on science than engineering, a change which will challenge existing concepts for flight crew tasking and demand that participants with contrasting skills, values, and backgrounds learn to cooperate as equals. In terrestrial space flight analogs such as Desert Research And Technology Studies, engineers, pilots, and scientists can practice working together, taking advantage of the full breadth of all team members training to produce harmonious, effective missions that maximize the time and attention the crew can devote to science. This paper presents, in a format usable as a reference by participants in the field, a successfully tested crew interaction model for such missions. The model builds upon the basic framework of a scientific field expedition by adding proven concepts from aviation and human spaceflight, including expeditionary behavior and cockpit resource management, cooperative crew tasking and adaptive leadership and followership, formal techniques for radio communication, and increased attention to operational considerations. The crews of future spaceflight analogs can use this model to demonstrate effective techniques, learn from each other, develop positive working relationships, and make their expeditions more successful, even if they have limited time to train together beforehand. This model can also inform the preparation and execution of actual future spaceflights.

  18. A Physics MOSAIC: Scientific Skills and Explorations for Students

    NASA Astrophysics Data System (ADS)

    May, S.; Clements, C.; Erickson, P. J.; Rogers, A.

    2010-12-01

    MOSAIC unit begins with a series of activities and lessons designed to take advantage of the large data sets MOSAIC is collecting all the time to teach students about measurement, uncertainty, and data analysis. The curriculum develops an intuitive approach to thinking about numbers in science, focusing on both implicit and explicit expressions of uncertainty. Our teaching unit concludes with a final research project to provide students with the opportunity to pursue an area of interest within mesospheric ozone. This project is conceived in such a way that it can be as self-directed as a teacher or student needs. Given current concern for the state of our atmosphere and ozone, MOSAIC provides a unique opportunity for student engagement in an area of scientific research that has not been extensively explored. MOSAIC data can be compared with online resources for other atmospheric, astronomical, or geophysical data, and have been analyzed for the effects of such variables as seasonal and solar flux variations, lunar phases, shuttle and rocket launches, and sudden stratospheric warming events.

  19. The Visual Geophysical Exploration Environment: A Multi-dimensional Scientific Visualization

    NASA Astrophysics Data System (ADS)

    Pandya, R. E.; Domenico, B.; Murray, D.; Marlino, M. R.

    2003-12-01

    The Visual Geophysical Exploration Environment (VGEE) is an online learning environment designed to help undergraduate students understand fundamental Earth system science concepts. The guiding principle of the VGEE is the importance of hands-on interaction with scientific visualization and data. The VGEE consists of four elements: 1) an online, inquiry-based curriculum for guiding student exploration; 2) a suite of El Nino-related data sets adapted for student use; 3) a learner-centered interface to a scientific visualization tool; and 4) a set of concept models (interactive tools that help students understand fundamental scientific concepts). There are two key innovations featured in this interactive poster session. One is the integration of concept models and the visualization tool. Concept models are simple, interactive, Java-based illustrations of fundamental physical principles. We developed eight concept models and integrated them into the visualization tool to enable students to probe data. The ability to probe data using a concept model addresses the common problem of transfer: the difficulty students have in applying theoretical knowledge to everyday phenomenon. The other innovation is a visualization environment and data that are discoverable in digital libraries, and installed, configured, and used for investigations over the web. By collaborating with the Integrated Data Viewer developers, we were able to embed a web-launchable visualization tool and access to distributed data sets into the online curricula. The Thematic Real-time Environmental Data Distributed Services (THREDDS) project is working to provide catalogs of datasets that can be used in new VGEE curricula under development. By cataloging this curricula in the Digital Library for Earth System Education (DLESE), learners and educators can discover the data and visualization tool within a framework that guides their use.

  20. Hands-on and Online: Scientific Explorations through Distance Learning

    ERIC Educational Resources Information Center

    Mawn, Mary V.; Carrico, Pauline; Charuk, Ken; Stote, Kim S.; Lawrence, Betty

    2011-01-01

    Laboratory experiments are often considered the defining characteristic of science courses. Such activities provide students with real-world contexts for applying scientific concepts, while also allowing them to develop scientific ways of thinking and promoting an interest in science. In recent years, an increasing number of campuses have moved…

  1. A Dataset of Metaphors from the Italian Literature: Exploring Psycholinguistic Variables and the Role of Context

    PubMed Central

    Bambini, Valentina; Resta, Donatella; Grimaldi, Mirko

    2014-01-01

    Defining the specific role of the factors that affect metaphor processing is a fundamental step for fully understanding figurative language comprehension, either in discourse and conversation or in reading poems and novels. This study extends the currently available materials on everyday metaphorical expressions by providing the first dataset of metaphors extracted from literary texts and scored for the major psycholinguistic variables, considering also the effect of context. A set of 115 Italian literary metaphors presented in isolation (Experiment 1) and a subset of 65 literary metaphors embedded in their original texts (Experiment 2) were rated on several dimensions (word and phrase frequency, readability, cloze probability, familiarity, concreteness, difficulty and meaningfulness). Overall, literary metaphors scored around medium-low values on all dimensions in both experiments. Collected data were subjected to correlation analysis, which showed the presence of a strong cluster of variables—mainly familiarity, difficulty, and meaningfulness—when literary metaphor were presented in isolation. A weaker cluster was observed when literary metaphors were presented in the original contexts, with familiarity no longer correlating with meaningfulness. Context manipulation influenced familiarity, concreteness and difficulty ratings, which were lower in context than out of context, while meaningfulness increased. Throughout the different dimensions, the literary context seems to promote a global interpretative activity that enhances the open-endedness of the metaphor as a semantic structure constantly open to all possible interpretations intended by the author and driven by the text. This dataset will be useful for the design of future experimental studies both on literary metaphor and on the role of context in figurative meaning, combining ecological validity and aesthetic aspects of language. PMID:25244522

  2. The USA National Phenology Network's National Phenology Database: a multi-taxa, continental-scale dataset for scientific inquiry

    NASA Astrophysics Data System (ADS)

    Weltzin, J. F.

    2012-12-01

    The USA National Phenology Network (USA-NPN; www.usanpn.org) serves science and society by promoting a broad understanding of plant and animal phenology and the relationships among phenological patterns and all aspects of environmental change. The National Phenology Database, maintained by the USA-NPN, is experiencing steady growth in the number of data records it houses. As of August 2012, participants in the USA-NPN national-scale, multi-taxa phenology observation program Nature's Notebook had contributed over 1.3 million observation records (encompassing four and three years of observations for plants and for animals, respectively). Data are freely available www.usanpn.org/results/data, and include FGDC-compliant metadata, data-use and data-attribution policies, vetted and documented methodologies and protocols, and version control. Quality assurance and quality control, and metadata data associated with field observations (e.g., effort and method reporting, site and organism condition) are also documented. Data are also available for exploration, visualization and preliminary analysis at www.usanpn.org/results/visualizations. Participants in Nature's Notebook, who include both professional and volunteer scientists, follow vetted protocols that employ phenological "status" monitoring rather than "event" monitoring: when sampling, observers indicate the status of each phenophase (e.g., "breaking leaf buds" or "active individuals"). This approach has a number of advantages over event monitoring (including estimation of error, estimation of effort, "negative" or "absence" data, capture of multiple events and phenophase duration) and is especially well-suited for integrated multi-taxa monitoring. Further, protocols and a user interface to facilitate the description of development or abundance data (e.g., tree canopy development, animal abundance) create a robust ecological dataset. We demonstrate several types of questions that can be addressed with this observing

  3. Exploring frontiers of the deep biosphere through scientific ocean drilling

    NASA Astrophysics Data System (ADS)

    Inagaki, F.; D'Hondt, S.; Hinrichs, K. U.

    2015-12-01

    Since the first deep biosphere-dedicated Ocean Drilling Program (ODP) Leg 201 using the US drill ship JOIDES Resolution in 2002, scientific ocean drilling has offered unique opportunities to expand our knowledge of the nature and extent of the deep biosphere. The latest estimate of the global subseafloor microbial biomass is ~1029cells, accounting for 4 Gt of carbon and ~1% of the Earth's total living biomass. The subseafloor microbial communities are evolutionarily diverse and their metabolic rates are extraordinarily slow. Nevertheless, accumulating activity most likely plays a significant role in elemental cycles over geological time. In 2010, during Integrated Ocean Drilling Program (IODP) Expedition 329, the JOIDES Resolutionexplored the deep biosphere in the open-ocean South Pacific Gyre—the largest oligotrophic province on our planet. During Expedition 329, relatively high concentrations of dissolved oxygen and significantly low biomass of microbial populations were observed in the entire sediment column, indicating that (i) there is no limit to life in open-ocean sediment and (ii) a significant amount of oxygen reaches through the sediment to the upper oceanic crust. This "deep aerobic biosphere" inhabits the sediment throughout up to ~37 percent of the world's oceans. The remaining ~63 percent of the oceans is comprised of higher productivity areas that contain the "deep anaerobic biosphere". In 2012, during IODP Expedition 337, the Japanese drill ship Chikyu explored coal-bearing sediments down to 2,466 meters below the seafloor off the Shimokita Peninsula, Japan. Geochemical and microbiological analyses consistently showed the occurrence of methane-producing communities associated with the coal beds. Cell concentrations in deep sediments were notably lower than those expected from the global regression line, implying that the bottom of the deep biosphere is approached in these beds. Taxonomic composition of the deep coal-bearing communities profoundly

  4. Exploring scientific creativity of eleventh-grade students in Taiwan

    NASA Astrophysics Data System (ADS)

    Liang, Jia-Chi

    2002-04-01

    Although most researchers focus on scientists' creativity, students' scientific creativity should be considered, especially for high school and college students. It is generally assumed that most professional creators in science emerge from amateur creators. Therefore, the purpose of this study is to investigate the relationship between students' scientific creativity and selected variables including creativity, problem finding, formulating hypotheses, science achievement, the nature of science, and attitudes toward science for finding significant predictors of eleventh grade students' scientific creativity. A total of 130 male eleventh-grade students in three biology classes participated in this study. The main instruments included the Test of Divergent Thinking (TDT) for creativity measurement, the Creativity Rating Scale (CRS) and the Creative Activities and Accomplishments Check Lists (CAACL ) for measurement of scientific creativity, the Nature of Scientific Knowledge Scale (NSKS) for measurement of the nature of science, and the Science Attitude Inventory II (SAI II) for measurement of attitudes toward science. In addition, two instruments on measuring students' abilities of problem finding and abilities of formulating hypotheses were developed by the researcher in this study. Data analysis involved descriptive statistics, Pearson product-moment correlations, and stepwise multiple regressions. The major findings suggested the following: (1) students' scientific creativity significantly correlated with some of selected variables such as attitudes toward science, problem finding, formulating hypotheses, the nature of science, resistance to closure, originality, and elaboration; (2) four significant predictors including attitudes toward science, problem finding, resistance to closure, and originality accounted for 48% of the variance of students' scientific creativity; (3) there were big differences between students with a higher and a lower degree of scientific

  5. Exploring tsunamis with non-traditional dataset: array recordings from temporary ocean-bottom seismic experiment

    NASA Astrophysics Data System (ADS)

    Sheehan, A. F.; Yang, Z.; Nicolsky, D.; Mungov, G.; Eakins, B.

    2011-12-01

    We observe clear tsunami signals generated by the July 15, 2009 magnitude 7.8 Dusky Sound (Fiordland) New Zealand earthquake on seafloor differential pressure gauges (DPGs). The dataset was collected during the ocean-bottom seismic experiment, Marine Observations of Anisotropy Near Aotearoa (MOANA). This experiment deployed 30 broadband ocean-bottom seismometers (Trillium 240) and differential pressure gauges (DPGs) for a year (2009/01-2010/02) both in deep ocean (greater than 4000 m water depth) and on the continental shelf (550 m to 1300 m) offshore of the South Island of New Zealand. The DPGs are used in many US National Ocean Bottom Seismograph Instrument Pool (OBSIP) experiments and are designed to record seismic signals. In this study, we demonstrate that DPGs can effectively record open-ocean tsunami signals and the tsunami signals on DPG records can be used for tsunami studies. We carry out waveform and spectral analysis for DPG data recordings of the Fiordland tsunami event. The arrival times of tsunami signals on DPG recordings can be directly used to constrain tsunami wave propagation models. We calibrate the DPGs to obtain better control on the amplitude of the tsunami signals on the DPG records. Calibrations are done over frequency bands of both Rayleigh wave and tidal signals. Synthetic pressure waveforms are calculated to be compared with the DPG recorded signals.

  6. EEGVIS: A MATLAB Toolbox for Browsing, Exploring, and Viewing Large Datasets.

    PubMed

    Robbins, Kay A

    2012-01-01

    Recent advances in data monitoring and sensor technology have accelerated the acquisition of very large data sets. Streaming data sets from instrumentation such as multi-channel EEG recording usually must undergo substantial pre-processing and artifact removal. Even when using automated procedures, most scientists engage in laborious manual examination and processing to assure high quality data and to indentify interesting or problematic data segments. Researchers also do not have a convenient method of method of visually assessing the effects of applying any stage in a processing pipeline. EEGVIS is a MATLAB toolbox that allows users to quickly explore multi-channel EEG and other large array-based data sets using multi-scale drill-down techniques. Customizable summary views reveal potentially interesting sections of data, which users can explore further by clicking to examine using detailed viewing components. The viewer and a companion browser are built on our MoBBED framework, which has a library of modular viewing components that can be mixed and matched to best reveal structure. Users can easily create new viewers for their specific data without any programming during the exploration process. These viewers automatically support pan, zoom, resizing of individual components, and cursor exploration. The toolbox can be used directly in MATLAB at any stage in a processing pipeline, as a plug-in for EEGLAB, or as a standalone precompiled application without MATLAB running. EEGVIS and its supporting packages are freely available under the GNU general public license at http://visual.cs.utsa.edu/eegvis.

  7. Hot Salsa: A Laboratory Exercise Exploring the Scientific Method.

    ERIC Educational Resources Information Center

    Levri, Edward P.; Levri, Maureen A.

    2003-01-01

    Presents a laboratory exercise on spicy food and body temperature that introduces the scientific method to introductory biology students. Suggests that when students perform their own experiments which they have developed, it helps with their understanding of and confidence in doing science. (Author/SOE)

  8. Ares V: Application to Solar System Scientific Exploration

    NASA Technical Reports Server (NTRS)

    Reh, Kim; Spilker, Tom; Elliott, John; Balint, Tibor; Donahue, Ben; McCormick, Dave; Smith, David B.; Tandon, Sunil; Woodcock, Gordon

    2008-01-01

    The following sections describe Ares V performance and its payoff to a wide array of potential solar system exploration missions. Application to potential Astrophysics missions is addressed in Reference 3.

  9. MilxXplore: a web-based system to explore large imaging datasets

    PubMed Central

    Bourgeat, P; Dore, V; Villemagne, V L; Rowe, C C; Salvado, O; Fripp, J

    2013-01-01

    Objective As large-scale medical imaging studies are becoming more common, there is an increasing reliance on automated software to extract quantitative information from these images. As the size of the cohorts keeps increasing with large studies, there is a also a need for tools that allow results from automated image processing and analysis to be presented in a way that enables fast and efficient quality checking, tagging and reporting on cases in which automatic processing failed or was problematic. Materials and methods MilxXplore is an open source visualization platform, which provides an interface to navigate and explore imaging data in a web browser, giving the end user the opportunity to perform quality control and reporting in a user friendly, collaborative and efficient way. Discussion Compared to existing software solutions that often provide an overview of the results at the subject's level, MilxXplore pools the results of individual subjects and time points together, allowing easy and efficient navigation and browsing through the different acquisitions of a subject over time, and comparing the results against the rest of the population. Conclusions MilxXplore is fast, flexible and allows remote quality checks of processed imaging data, facilitating data sharing and collaboration across multiple locations, and can be easily integrated into a cloud computing pipeline. With the growing trend of open data and open science, such a tool will become increasingly important to share and publish results of imaging analysis. PMID:23775173

  10. Mars scientific investigations as a precursor for human exploration.

    PubMed

    Ahlf, P; Cantwell, E; Ostrach, L; Pline, A

    2000-01-01

    In the past two years, NASA has begun to develop and implement plans for investigations on robotic Mars missions which are focused toward returning data critical for planning human missions to Mars. The Mars Surveyor Program 2001 Orbiter and Lander missions will mark the first time that experiments dedicated to preparation for human exploration will be carried out. Investigations on these missions and future missions range from characterization of the physical and chemical environment of Mars, to predicting the response of biology to the Mars environment. Planning for such missions must take into account existing data from previous Mars missions which were not necessarily focused on human exploration preparation. At the same time, plans for near term missions by the international community must be considered to avoid duplication of effort. This paper reviews data requirements for human exploration and applicability of existing data. It will also describe current plans for investigations and place them within the context of related international activities.

  11. Scientific Assessment of NASA's Solar System Exploration Roadmap

    NASA Technical Reports Server (NTRS)

    1996-01-01

    At its June 24-28, 1996, meeting, the Space Studies Board's Committee on Planetary and Lunar Exploration (COMPLEX), chaired by Ronald Greeley of Arizona State University, conducted an assessment of NASA's Mission to the Solar System Roadmap report. This assessment was made at the specific request of Dr. Jurgen Rahe, NASA's science program director for solar system exploration. The assessment includes consideration of the process by which the Roadmap was developed, comparison of the goals and objectives of the Roadmap with published National Research Council (NRC) recommendations, and suggestions for improving the Roadmap.

  12. Ares V: Application to Solar System Scientific Exploration

    NASA Technical Reports Server (NTRS)

    Elliott, John O.

    2008-01-01

    Ares V would revolutionize the way we accomplish solar system exploration -Shift to a better balance of field data acquisition and laboratory analysis -Greatly improve field data acquisition ?Better instruments, better instrument complements. Larger data volumes returned. Would require a new fiscal paradigm. "Ares V Solar System Science" workshop helped expand the set of possibly-enabled missions.

  13. Automatic Flushing Toilets: An Entertaining Platform for Exploring Scientific Thinking

    ERIC Educational Resources Information Center

    Blais, Brian S.

    2011-01-01

    It is often challenging, especially at the beginning of a course, to find good examples where students can actively explore and grapple with the methods of science. We want them to learn the connection between observation, theory, prediction, evidence, and falsification, but to really accomplish this we need platforms for which the students are…

  14. Exploring Relationship between Scientific Reasoning Skills and Mathematics Problem Solving

    ERIC Educational Resources Information Center

    Tajudin, Nor'ain Mohd; Chinnappan, Mohan

    2015-01-01

    Reasoning is considered to be an important proficiency in national mathematics curricula both in Australia (ACARA, 2014) and Malaysia (MOE, 2013). However, the nature of reasoning that supports learning and problem solving in mathematics is an area that requires further study (Schoenfeld, 2013). In this study we explored the link between…

  15. Mars scientific investigations as a precursor for human exploration

    NASA Technical Reports Server (NTRS)

    Ahlf, P.; Cantwell, E.; Ostrach, L.; Pline, A.

    2000-01-01

    In the past two years, NASA has begun to develop and implement plans for investigations on robotic Mars missions which are focused toward returning data critical for planning human missions to Mars. The Mars Surveyor Program 2001 Orbiter and Lander missions will mark the first time that experiments dedicated to preparation for human exploration will be carried out. Investigations on these missions and future missions range from characterization of the physical and chemical environment of Mars, to predicting the response of biology to the Mars environment. Planning for such missions must take into account existing data from previous Mars missions which were not necessarily focused on human exploration preparation. At the same time, plans for near term missions by the international community must be considered to avoid duplication of effort. This paper reviews data requirements for human exploration and applicability of existing data. It will also describe current plans for investigations and place them within the context of related international activities. c 2000 International Astronautical Federation. Published by Elsevier Science Ltd. All rights reserved.

  16. The Venera-D Concept, Scientific Exploration of Venus in the Post-2025 Time Frame

    NASA Astrophysics Data System (ADS)

    Senske, D.; Zasova, L.; Economou, T.; Eismont, N.; Esposito, L.; Gerasimov, M.; Ignatiev, N.; Ivanov, M.; Lea Jessup, K.; Khatuntsev, I.; Korablev, O.; Kremic, T.; Limaye, S.; Lomakin, I.; Martynov, M.; Ocampo, A.

    2017-02-01

    To address the overarching scientific questions regarding the evolution of Venus, the coming decades offer the opportunity for the comprehensive exploration of Venus — from orbit, in the clouds, and on the surface enabled by the Venera-D concept.

  17. A Resource-Rich, Scientifically Compelling Exploration Zone for Human Missions at Deuteronilus Mensae, Mars

    NASA Astrophysics Data System (ADS)

    Plaut, J. J.

    2015-10-01

    The Deuteronilus Mensae region of Mars is promising as a potential landing site for human exploration because it contains vast, readily accessible deposits of water ice in a setting of key scientific importance.

  18. I Wonder…Scientific Exploration and Experimentation as a Practice of Christian Faith

    ERIC Educational Resources Information Center

    Shaver, Ruth E.

    2016-01-01

    "I Wonder...Gaining Wisdom and Growing Faith Through Scientific Exploration" is an intergenerational science curriculum designed to be used in congregations. The goal of this curriculum and the theoretical work underpinning it is to counter the perception that people of faith cannot also be people who possess a scientific understanding…

  19. Scientific Results of the Mars Exploration Rovers Spirit and Opportunity

    NASA Astrophysics Data System (ADS)

    Banerdt, W. B.

    2006-08-01

    NASA's Mars Exploration Rover project launched two robotic geologists, Spirit and Opportunity, toward Mars in June and July of 2003, reaching Mars the following January. The science objectives for this mission are focused on delineating the geologic history for two locations on Mars, with an emphasis on the history of water. Although they were designed for a 90-day mission, both rovers have lasted more than two years on the surface and each has covered more than four miles while investigating Martian geology. Spirit was targeted to Gusev Crater, a 300-km diameter impact basin that was suspected to be the site of an ancient lake. Initial investigations of the plains in the vicinity of the landing site found no evidence of such a lake, but were instead consistent with unaltered (by water) basaltic plains. But after a 3-km trek to an adjacent range of hills it found a quite different situation, with abundant chemical and morphological evidence for a complex geological history. Opportunity has been exploring Meridiani Planum, which was known from orbital data to contain the mineral hematite, which generally forms in the presence of water. The rocks exposed in Meridiani are highly chemically altered, and appear to have been exposed to significant amounts of water. By descending into the 130-m diameter Endurance Crater, Opportunity was able to analyze a 10-m vertical section of this rock unit, which showed significant gradations in chemistry and morphology.

  20. Ares V: Application to Solar System Scientific Exploration

    NASA Technical Reports Server (NTRS)

    Elliott, John; Spilker, Thomas; Reh, Kim; Smith, David; Woodcock, Gordon

    2008-01-01

    The development of the Ares V launch vehicle will provide levels of performance unseen since the days of Apollo. This capability, like the Saturn V before it, is being developed primarily for crewed lunar missions. However, the tremendous jump in performance offered by the Ares V launch system has tremendous potential for the furtherance of robotic solar system exploration missions as well. Preliminary performance assessments indicate that Ares V could deliver 5 times the payload to Mars as compared to the most capable US expendable launch vehicle available today. Beyond Mars, the outer planets offer a number of high-priority investigations with compelling science. Presently, missions to these destinations are only achievable using indirect flights with gravity assist trajectories and, in many cases, suffer from long flight times. An Ares V with an upper stage could capture these missions using direct flights with shorter interplanetary transfer times that would enable extensive in situ investigations and possibly the return of samples to Earth. This paper lays out an estimate of Ares V performance for moderate and high C3 missions, and goes on to discuss a range of revolutionary mission concepts that could be enabled by this significant in-crease in launch capability.

  1. Exploring the Changes in Students' Understanding of the Scientific Method Using Word Associations

    NASA Astrophysics Data System (ADS)

    Gulacar, Ozcan; Sinan, Olcay; Bowman, Charles R.; Yildirim, Yetkin

    2015-10-01

    A study is presented that explores how students' knowledge structures, as related to the scientific method, compare at different student ages. A word association test comprised of ten total stimulus words, among them experiment, science fair, and hypothesis, is used to probe the students' knowledge structures. Students from grades four, five, and eight, as well as first-year college students were tested to reveal their knowledge structures relating to the scientific method. Younger students were found to have a naïve view of the science process with little understanding of how science relates to the real world. However, students' conceptions about the scientific process appear to be malleable, with science fairs a potentially strong influencer. The strength of associations between words is observed to change from grade to grade, with younger students placing science fair near the center of their knowledge structure regarding the scientific method, whereas older students conceptualize the scientific method around experiment.

  2. Lost in space: design of experiments and scientific exploration in a Hogarth Universe.

    PubMed

    Lendrem, Dennis W; Lendrem, B Clare; Woods, David; Rowland-Jones, Ruth; Burke, Matthew; Chatfield, Marion; Isaacs, John D; Owen, Martin R

    2015-11-01

    A Hogarth, or 'wicked', universe is an irregular environment generating data to support erroneous beliefs. Here, we argue that development scientists often work in such a universe. We demonstrate that exploring these multidimensional spaces using small experiments guided by scientific intuition alone, gives rise to an illusion of validity and a misplaced confidence in that scientific intuition. By contrast, design of experiments (DOE) permits the efficient mapping of such complex, multidimensional spaces. We describe simulation tools that enable research scientists to explore these spaces in relative safety.

  3. Scientific Exploration of Near-Earth Objects via the Crew Exploration Vehicle

    NASA Technical Reports Server (NTRS)

    Abell, Paul A.; Korsmeyer, D. J.; Landis, R. R.; Lu, E.; Adamo (D.); Jones (T.); Lemke, L.; Gonzales, A.; Gershman, B.; Morrison, D.; Sweetser, T.; Johnson, L.

    2007-01-01

    The concept of a crewed mission to a Near-Earth Object (NEO) has been analyzed in depth in 1989 as part of the Space Exploration Initiative. Since that time two other studies have investigated the possibility of sending similar missions to NEOs. A more recent study has been sponsored by the Advanced Programs Office within NASA's Constellation Program. This study team has representatives from across NASA and is currently examining the feasibility of sending a Crew Exploration Vehicle (CEV) to a near-Earth object (NEO). The ideal mission profile would involve a crew of 2 or 3 astronauts on a 90 to 120 day flight, which would include a 7 to 14 day stay for proximity operations at the target NEO. One of the significant advantages of this type of mission is that it strengthens and validates the foundational infrastructure for the Vision for Space Exploration (VSE) and Exploration Systems Architecture Study (ESAS) in the run up to the lunar sorties at the end of the next decade (approx.2020). Sending a human expedition to a NEO, within the context of the VSE and ESAS, demonstrates the broad utility of the Constellation Program s Orion (CEV) crew capsule and Ares (CLV) launch systems. This mission would be the first human expedition to an interplanetary body outside of the cislunar system. Also, it will help NASA regain crucial operational experience conducting human exploration missions outside of low Earth orbit, which humanity has not attempted in nearly 40 years.

  4. Exploring the Changes in Students' Understanding of the Scientific Method Using Word Associations

    ERIC Educational Resources Information Center

    Gulacar, Ozcan; Sinan, Olcay; Bowman, Charles R.; Yildirim, Yetkin

    2015-01-01

    A study is presented that explores how students' knowledge structures, as related to the scientific method, compare at different student ages. A word association test comprised of ten total stimulus words, among them "experiment," "science fair," and "hypothesis," is used to probe the students' knowledge structures.…

  5. The Texture of Educational Inquiry: An Exploration of George Herbert Mead's Concept of the Scientific.

    ERIC Educational Resources Information Center

    Franzosa, Susan Douglas

    1984-01-01

    Explores the implications of Mead's philosophic social psychology for current disputes concerning the nature of the scientific in educational studies. Mead's contextualization of the knower and the known are found to be compatible with a contemporary critique of positivist paradigms and a critical reconceptualization of educational inquiry.…

  6. Exploring Teachers' Informal Formative Assessment Practices and Students' Understanding in the Context of Scientific Inquiry

    ERIC Educational Resources Information Center

    Ruiz-Primo, Maria Araceli; Furtak, Erin Marie

    2007-01-01

    This study explores teachers' informal formative assessment practices in three middle school science classrooms. We present a model for examining these practices based on three components of formative assessment (eliciting, recognizing, and using information) and the three domains linked to scientific inquiry (epistemic frameworks, conceptual…

  7. The Need for Analogue Missions in Scientific Human and Robotic Planetary Exploration

    NASA Technical Reports Server (NTRS)

    Snook, K. J.; Mendell, W. W.

    2004-01-01

    With the increasing challenges of planetary missions, and especially with the prospect of human exploration of the moon and Mars, the need for earth-based mission simulations has never been greater. The current focus on science as a major driver for planetary exploration introduces new constraints in mission design, planning, operations, and technology development. Analogue missions can be designed to address critical new integration issues arising from the new science-driven exploration paradigm. This next step builds on existing field studies and technology development at analogue sites, providing engineering, programmatic, and scientific lessons-learned in relatively low-cost and low-risk environments. One of the most important outstanding questions in planetary exploration is how to optimize the human and robotic interaction to achieve maximum science return with minimum cost and risk. To answer this question, researchers are faced with the task of defining scientific return and devising ways of measuring the benefit of scientific planetary exploration to humanity. Earth-based and spacebased analogue missions are uniquely suited to answer this question. Moreover, they represent the only means for integrating science operations, mission operations, crew training, technology development, psychology and human factors, and all other mission elements prior to final mission design and launch. Eventually, success in future planetary exploration will depend on our ability to prepare adequately for missions, requiring improved quality and quantity of analogue activities. This effort demands more than simply developing new technologies needed for future missions and increasing our scientific understanding of our destinations. It requires a systematic approach to the identification and evaluation of the categories of analogue activities. This paper presents one possible approach to the classification and design of analogue missions based on their degree of fidelity in ten

  8. Lemont B. Kier: a bibliometric exploration of his scientific production and its use.

    PubMed

    Restrepo, Guillermo; Llanos, Eugenio J; Silva, Adriana E

    2013-12-01

    We thought an appropriate way to celebrate the seminal contribution of Kier is to explore his influence on science, looking for the impact of his research through the citation of his scientific production. From a bibliometric approach the impact of Kier's work is addressed as an individual within a community. Reviewing data from his curriculum vitae, as well as from the ISI Web of Knowledge (ISI), his role within the scientific community is established and the way his scientific results circulate is studied. His curriculum vitae is explored emphasising the approaches he used in his research activities and the social ties with other actors of the community. The circulation of Kier's publications in the ISI is studied as a means for spreading and installing his discourse within the community. The citation patterns found not only show the usage of Kier's scientific results, but also open the possibility to identify some characteristics of this discursive community, such as a common vocabulary and common research goals. The results show an interdisciplinary research work that consolidates a scientific community on the topic of drug discovery.

  9. Scientific Goals and Objectives for the Human Exploration of Mars: 1. Biology and Atmosphere/Climate

    NASA Technical Reports Server (NTRS)

    Levine, Joel S.; Garvin, J. B.; Anbar, A. D.; Beaty, D. W.; Bell, M. S.; Clancy, R. T.; Cockell, C. S.; Connerney, J. E.; Doran, P. T.; Delory, G.; Dickson, J. T.; Elphic, R. C.; Eppler, D. B.; Fernandez-Remolar, D. C.; Head, J. W.; Helper, M.; Gruener, J. E.; Heldmann, J.; Hipkin, V.; Lane, M. D.; Levy, J.; Moersch, J.; Ori, G. G.; Peach, L.; Poulet, F.

    2008-01-01

    To prepare for the exploration of Mars by humans, as outlined in the new national vision for Space Exploration (VSE), the Mars Exploration Program Analysis Group (MEPAG), chartered by NASA's Mars Exploration Program (MEP), formed a Human Exploration of Mars Science Analysis Group (HEM-SAG), in March 2007. HEM-SAG was chartered to develop the scientific goals and objectives for the human exploration of Mars based on the Mars Scientific Goals, Objectives, Investigations, and Priorities.1 The HEM-SAG is one of several humans to Mars scientific, engineering and mission architecture studies chartered in 2007 to support NASA s plans for the human exploration of Mars. The HEM-SAG is composed of about 30 Mars scientists representing the disciplines of Mars biology, climate/atmosphere, geology and geophysics from the U.S., Canada, England, France, Italy and Spain. MEPAG selected Drs. James B. Garvin (NASA Goddard Space Flight Center) and Joel S. Levine (NASA Langley Research Center) to serve as HEMSAG co-chairs. The HEM-SAG team conducted 20 telecons and convened three face-to-face meetings from March through October 2007. The management of MEP and MEPAG were briefed on the HEM-SAG interim findings in May. The HEM-SAG final report was presented on-line to the full MEPAG membership and was presented at the MEPAG meeting on February 20-21, 2008. This presentation will outline the HEM-SAG biology and climate/atmosphere goals and objectives. A companion paper will outline the HEM-SAG geology and geophysics goals and objectives.

  10. Exploring multiliteracies, student voice, and scientific practices in two elementary classrooms

    NASA Astrophysics Data System (ADS)

    Allison, Elizabeth Rowland

    This study explored the voices of children in a changing world with evolving needs and new opportunities. The workplaces of rapidly moving capitalist societies value creativity, collaboration, and critical thinking skills which are of growing importance and manifesting themselves in modern K-12 science classroom cultures (Gee, 2000; New London Group, 2000). This study explored issues of multiliteracies and student voice set within the context of teaching and learning in 4th and 5th grade science classrooms. The purpose of the study was to ascertain what and how multiliteracies and scientific practices (NGSS Lead States, 2013c) are implemented, explore how multiliteracies influence students' voices, and investigate teacher and student perceptions of multiliteracies, student voice, and scientific practices. Grounded in a constructivist framework, a multiple case study was employed in two elementary classrooms. Through observations, student focus groups and interviews, and teacher interviews, a detailed narrative was created to describe a range of multiliteracies, student voice, and scientific practices that occurred with the science classroom context. Using grounded theory analysis, data were coded and analyzed to reveal emergent themes. Data analysis revealed that these two classrooms were enriched with multiliteracies that serve metaphorically as breeding grounds for student voice. In the modern classroom, defined as a space where information is instantly accessible through the Internet, multiliteracies can be developed through inquiry-based, collaborative, and technology-rich experiences. Scientific literacy, cultivated through student communication and collaboration, is arguably a multiliteracy that has not been considered in the literature, and should be, as an integral component of overall individual literacy in the 21st century. Findings revealed four themes. Three themes suggest that teachers address several modes of multiliteracies in science, but identify

  11. PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Pattern

    SciTech Connect

    Gong, Zhenhuan; Boyuka, David; Zou, X; Liu, Gary; Podhorszki, Norbert; Klasky, Scott A; Ma, Xiaosong; Samatova, Nagiza F

    2013-01-01

    Download Citation Email Print Request Permissions Save to Project The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their run-time environments. The growing gap is exacerbated by exploratory, data-intensive analytics, such as querying simulation data with multivariate, spatio-temporal constraints, which induces heterogeneous access patterns that stress the performance of the underlying storage system. Previous work addresses data layout and indexing techniques to improve query performance for a single access pattern, which is not sufficient for complex analytics jobs. We present PARLO a parallel run-time layout optimization framework, to achieve multi-level data layout optimization for scientific applications at run-time before data is written to storage. The layout schemes optimize for heterogeneous access patterns with user-specified priorities. PARLO is integrated with ADIOS, a high-performance parallel I/O middleware for large-scale HPC applications, to achieve user-transparent, light-weight layout optimization for scientific datasets. It offers simple XML-based configuration for users to achieve flexible layout optimization without the need to modify or recompile application codes. Experiments show that PARLO improves performance by 2 to 26 times for queries with heterogeneous access patterns compared to state-of-the-art scientific database management systems. Compared to traditional post-processing approaches, its underlying run-time layout optimization achieves a 56% savings in processing time and a reduction in storage overhead of up to 50%. PARLO also exhibits a low run-time resource requirement, while also limiting the performance impact on running applications to a reasonable level.

  12. A sophisticated lander for scientific exploration of Mars: scientific objectives and implementation of the Mars-96 Small Station.

    PubMed

    Linkin, V; Harri, A M; Lipatov, A; Belostotskaja, K; Derbunovich, B; Ekonomov, A; Khloustova, L; Kremnev, R; Makarov, V; Martinov, B; Nenarokov, D; Prostov, M; Pustovalov, A; Shustko, G; Jarvinen, I; Kivilinna, H; Korpela, S; Kumpulainen, K; Lehto, A; Pellinen, R; Pirjola, R; Riihela, P; Salminen, A; Schmidt, W; McKay, C P

    1998-01-01

    A mission to Mars including two Small Stations, two Penetrators and an Orbiter was launched at Baikonur, Kazakhstan, on 16 November 1996. This was called the Mars-96 mission. The Small Stations were expected to land in September 1997 (Ls approximately 178 degrees), nominally to Amazonis-Arcadia region on locations (33 N, 169.4 W) and (37.6 N, 161.9 W). The fourth stage of the Mars-96 launcher malfunctioned and hence the mission was lost. However, the state of the art concept of the Small Station can be applied to future Martian lander missions. Also, from the manufacturing and performance point of view, the Mars-96 Small Station could be built as such at low cost, and be fairly easily accommodated on almost any forthcoming Martian mission. This is primarily due to the very simple interface between the Small Station and the spacecraft. The Small Station is a sophisticated piece of equipment. With the total available power of approximately 400 mW the Station successfully supports an ambitious scientific program. The Station accommodates a panoramic camera, an alpha-proton-x-ray spectrometer, a seismometer, a magnetometer, an oxidant instrument, equipment for meteorological observations, and sensors for atmospheric measurement during the descent phase, including images taken by a descent phase camera. The total mass of the Small Station with payload on the Martian surface, including the airbags, is only 32 kg. Lander observations on the surface of Mars combined with data from Orbiter instruments will shed light on the contemporary Mars and its evolution. As in the Mars-96 mission, specific science goals could be exploration of the interior and surface of Mars, investigation of the structure and dynamics of the atmosphere, the role of water and other materials containing volatiles and in situ studies of the atmospheric boundary layer processes. To achieve the scientific goals of the mission the lander should carry a versatile set of instruments. The Small Station

  13. The ISECG Science White Paper - A Scientific Perspective on the Global Exploration Roadmap

    NASA Astrophysics Data System (ADS)

    Bussey, David B.; Worms, Jean-Claude; Spiero, Francois; Schlutz, Juergen; Ehrenfreund, Pascale

    2016-07-01

    Future space exploration goals call for sending humans and robots beyond low Earth orbit and establishing sustained access to destinations such as the Moon, asteroids and Mars. Space agencies participating in the International Space Exploration Coordination Group (ISECG) are discussing an international approach for achieving these goals, documented in ISECG's Global Exploration Roadmap (GER). The GER reference scenario reflects a step-wise evolution of critical capabilities from ISS to missions in the lunar vicinity in preparation for the journey of humans to Mars. As an element of this continued road mapping effort, the ISECG agencies are therefore soliciting input and coordinated discussion with the scientific community to better articulate and promote the scientific opportunities of the proposed mission themes. An improved understanding of the scientific drivers and the requirements to address priority science questions associated with the exploration destinations (Moon, Near Earth Asteroids, Mars and its moons) as well as the preparatory activities in cis-lunar space is beneficial to optimize the partnership of robotic assets and human presence beyond low Earth orbit. The interaction has resulted in the development of a Science White Paper to: • Identify and highlight the scientific opportunities in early exploration missions as the GER reference architecture matures, • Communicate overarching science themes and their relevance in the GER destinations, • Ensure international science communities' perspectives inform the future evolution of mission concepts considered in the GER The paper aims to capture the opportunities offered by the missions in the GER for a broad range of scientific disciplines. These include planetary and space sciences, astrobiology, life sciences, physical sciences, astronomy and Earth science. The paper is structured around grand science themes that draw together and connect research in the various disciplines, and it will focus on

  14. Back to the Moon: The scientific rationale for resuming lunar surface exploration

    NASA Astrophysics Data System (ADS)

    Crawford, I. A.; Anand, M.; Cockell, C. S.; Falcke, H.; Green, D. A.; Jaumann, R.; Wieczorek, M. A.

    2012-12-01

    The lunar geological record has much to tell us about the earliest history of the Solar System, the origin and evolution of the Earth-Moon system, the geological evolution of rocky planets, and the near-Earth cosmic environment throughout Solar System history. In addition, the lunar surface offers outstanding opportunities for research in astronomy, astrobiology, fundamental physics, life sciences and human physiology and medicine. This paper provides an interdisciplinary review of outstanding lunar science objectives in all of these different areas. It is concluded that addressing them satisfactorily will require an end to the 40-year hiatus of lunar surface exploration, and the placing of new scientific instruments on, and the return of additional samples from, the surface of the Moon. Some of these objectives can be achieved robotically (e.g., through targeted sample return, the deployment of geophysical networks, and the placing of antennas on the lunar surface to form radio telescopes). However, in the longer term, most of these scientific objectives would benefit significantly from renewed human operations on the lunar surface. For these reasons it is highly desirable that current plans for renewed robotic surface exploration of the Moon are developed in the context of a future human lunar exploration programme, such as that proposed by the recently formulated Global Exploration Roadmap.

  15. Segmentation of Unstructured Datasets

    NASA Technical Reports Server (NTRS)

    Bhat, Smitha

    1996-01-01

    Datasets generated by computer simulations and experiments in Computational Fluid Dynamics tend to be extremely large and complex. It is difficult to visualize these datasets using standard techniques like Volume Rendering and Ray Casting. Object Segmentation provides a technique to extract and quantify regions of interest within these massive datasets. This thesis explores basic algorithms to extract coherent amorphous regions from two-dimensional and three-dimensional scalar unstructured grids. The techniques are applied to datasets from Computational Fluid Dynamics and from Finite Element Analysis.

  16. Mission to the Moon: Europe's priorities for the scientific exploration and utilisation of the Moon

    NASA Astrophysics Data System (ADS)

    Battrick, Bruce; Barron, C.

    1992-06-01

    A study to determine Europe's potential role in the future exploration and utilization of the Moon is presented. To establish the scientific justifications the Lunar Study Steering Group (LSSG) was established reflecting all scientific disciplines benefitting from a lunar base (Moon studies, astronomy, fusion, life sciences, etc.). Scientific issues were divided into three main areas: science of the Moon, including all investigations concerning the Moon as a planetary body; science from the Moon, using the Moon as a platform and therefore including observatories in the broadest sense; science on the Moon, including not only questions relating to human activities in space, but also the development of artificial ecosystems beyond the Earth. Science of the Moon focuses on geographical, geochemical and geological observations of the Earth-Moon system. Science from the Moon takes advantage of the stable lunar ground, its atmosphere free sky and, on the far side, its radio quiet environment. The Moon provides an attractive platform for the observation and study of the Universe. Two techniques that can make unique cause of the lunar platform are ultraviolet to submillimeter interferometric imaging, and very low frequency astronomy. One of the goals of life sciences studies (Science on the Moon) is obviously to provide the prerequisite information for establishing a manned lunar base. This includes studies of human physiology under reduced gravity, radiation protection and life support systems, and feasibility studies based on existing hardware. The overall recommendations are essentially to set up specific study teams for those fields judged to be the most promising for Europe, with the aim of providing more detailed scientific and technological specifications. It is also suggested that the scope of the overall study activities be expanded in order to derive mission scenarios for a viable ESA lunar exploration program and to consider economic, legal and policy matters

  17. Proteus - An experimenter's view. [of spacecraft carrying exchangable Explorer scientific experiments

    NASA Technical Reports Server (NTRS)

    Hibbard, W. D.

    1984-01-01

    The scientific experiments package to be carried by the Proteus system takes the form of an Instrument Load carried into orbit by a Space Shuttle, and there mated to a Proteus spacecraft with the Shuttle's Remote Manipulator System. The Proteus system extends to ground support equipment, development tools, and communications, as well as the orbiting satellites. It is expected that Proteus will be able to triple the number of Explorer missions while staying within the current budgetary allocation for such missions. The Proteus spacecraft encompasses a system interface assembly plug, a data handling module, remote interface units, and a power distribution module.

  18. A TT&C Performance Simulator for Space Exploration and Scientific Satellites - Architecture and Applications

    NASA Astrophysics Data System (ADS)

    Donà, G.; Faletra, M.

    2015-09-01

    This paper presents the TT&C performance simulator toolkit developed internally at Thales Alenia Space Italia (TAS-I) to support the design of TT&C subsystems for space exploration and scientific satellites. The simulator has a modular architecture and has been designed using a model-based approach using standard engineering tools such as MATLAB/SIMULINK and mission analysis tools (e.g. STK). The simulator is easily reconfigurable to fit different types of satellites, different mission requirements and different scenarios parameters. This paper provides a brief description of the simulator architecture together with two examples of applications used to demonstrate some of the simulator’s capabilities.

  19. Exploring English Language Learners (ELL) experiences with scientific language and inquiry within a real life context

    NASA Astrophysics Data System (ADS)

    Algee, Lisa M.

    English Language Learners (ELL) are often at a distinct disadvantage from receiving authentic science learning opportunites. This study explored English Language Learners (ELL) learning experiences with scientific language and inquiry within a real life context. This research was theoretically informed by sociocultural theory and literature on student learning and science teaching for ELL. A qualitative, case study was used to explore students' learning experiences. Data from multiple sources was collected: student interviews, science letters, an assessment in another context, field-notes, student presentations, inquiry assessment, instructional group conversations, parent interviews, parent letters, parent homework, teacher-researcher evaluation, teacher-researcher reflective journal, and student ratings of learning activities. These data sources informed the following research questions: (1) Does participation in an out-of-school contextualized inquiry science project increase ELL use of scientific language? (2) Does participation in an out-of-school contextualized inquiry science project increase ELL understanding of scientific inquiry and their motivation to learn? (3) What are parents' funds of knowledge about the local ecology and does this inform students' experiences in the science project? All data sources concerning students were analyzed for similar patterns and trends and triangulation was sought through the use of these data sources. The remaining data sources concerning the teacher-researcher were used to inform and assess whether the pedagogical and research practices were in alignment with the proposed theoretical framework. Data sources concerning parental participation accessed funds of knowledge, which informed the curriculum in order to create continuity and connections between home and school. To ensure accuracy in the researchers' interpretations of student and parent responses during interviews, member checking was employed. The findings

  20. Exploring Two Approaches for an End-to-End Scientific Analysis Workflow

    DOE PAGES

    Dodelson, Scott; Kent, Steve; Kowalkowski, Jim; ...

    2015-12-23

    The advance of the scientific discovery process is accomplished by the integration of independently-developed programs run on disparate computing facilities into coherent workflows usable by scientists who are not experts in computing. For such advancement, we need a system which scientists can use to formulate analysis workflows, to integrate new components to these workflows, and to execute different components on resources that are best suited to run those components. In addition, we need to monitor the status of the workflow as components get scheduled and executed, and to access the intermediate and final output for visual exploration and analysis. Finally,more » it is important for scientists to be able to share their workflows with collaborators. Moreover we have explored two approaches for such an analysis framework for the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC), the first one is based on the use and extension of Galaxy, a web-based portal for biomedical research, and the second one is based on a programming language, Python. In our paper, we present a brief description of the two approaches, describe the kinds of extensions to the Galaxy system we have found necessary in order to support the wide variety of scientific analysis in the cosmology community, and discuss how similar efforts might be of benefit to the HEP community.« less

  1. Exploring Two Approaches for an End-to-End Scientific Analysis Workflow

    SciTech Connect

    Dodelson, Scott; Kent, Steve; Kowalkowski, Jim; Paterno, Marc; Sehrish, Saba

    2015-12-23

    The advance of the scientific discovery process is accomplished by the integration of independently-developed programs run on disparate computing facilities into coherent workflows usable by scientists who are not experts in computing. For such advancement, we need a system which scientists can use to formulate analysis workflows, to integrate new components to these workflows, and to execute different components on resources that are best suited to run those components. In addition, we need to monitor the status of the workflow as components get scheduled and executed, and to access the intermediate and final output for visual exploration and analysis. Finally, it is important for scientists to be able to share their workflows with collaborators. Moreover we have explored two approaches for such an analysis framework for the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC), the first one is based on the use and extension of Galaxy, a web-based portal for biomedical research, and the second one is based on a programming language, Python. In our paper, we present a brief description of the two approaches, describe the kinds of extensions to the Galaxy system we have found necessary in order to support the wide variety of scientific analysis in the cosmology community, and discuss how similar efforts might be of benefit to the HEP community.

  2. Exploring Two Approaches for an End-to-End Scientific Analysis Workflow

    NASA Astrophysics Data System (ADS)

    Dodelson, Scott; Kent, Steve; Kowalkowski, Jim; Paterno, Marc; Sehrish, Saba

    2015-12-01

    The scientific discovery process can be advanced by the integration of independently-developed programs run on disparate computing facilities into coherent workflows usable by scientists who are not experts in computing. For such advancement, we need a system which scientists can use to formulate analysis workflows, to integrate new components to these workflows, and to execute different components on resources that are best suited to run those components. In addition, we need to monitor the status of the workflow as components get scheduled and executed, and to access the intermediate and final output for visual exploration and analysis. Finally, it is important for scientists to be able to share their workflows with collaborators. We have explored two approaches for such an analysis framework for the Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC); the first one is based on the use and extension of Galaxy, a web-based portal for biomedical research, and the second one is based on a programming language, Python. In this paper, we present a brief description of the two approaches, describe the kinds of extensions to the Galaxy system we have found necessary in order to support the wide variety of scientific analysis in the cosmology community, and discuss how similar efforts might be of benefit to the HEP community.

  3. Lunar scout missions: Galileo encounter results and application to scientific problems and exploration requirements

    NASA Technical Reports Server (NTRS)

    Head, J. W.; Belton, M.; Greeley, R.; Pieters, C.; Mcewen, A.; Neukum, G.; Mccord, T.

    1993-01-01

    The Lunar Scout Missions (payload: x-ray fluorescence spectrometer, high-resolution stereocamera, neutron spectrometer, gamma-ray spectrometer, imaging spectrometer, gravity experiment) will provide a global data set for the chemistry, mineralogy, geology, topography, and gravity of the Moon. These data will in turn provide an important baseline for the further scientific exploration of the Moon by all-purpose landers and micro-rovers, and sample return missions from sites shown to be of primary interest from the global orbital data. These data would clearly provide the basis for intelligent selection of sites for the establishment of lunar base sites for long-term scientific and resource exploration and engineering studies. The two recent Galileo encounters with the Moon (December, 1990 and December, 1992) illustrate how modern technology can be applied to significant lunar problems. We emphasize the regional results of the Galileo SSI to show the promise of geologic unit definition and characterization as an example of what can be done with the global coverage to be obtained by the Lunar Scout Missions.

  4. LISIRD 2: Applying Standards and Open Source Software in Exploring and Serving Scientific Data

    NASA Astrophysics Data System (ADS)

    Wilson, A.; Lindholm, D. M.; Ware Dewolfe, A.; Lindholm, C.; Pankratz, C. K.; Snow, M.; Woods, T. N.

    2009-12-01

    The LASP Interactive Solar IRradiance Datacenter (LISIRD), http://lasp.colorado.edu/lisird, seeks to provide exploration of and access to solar irradiance data, models and other related data. These irradiance datasets, from the SME, UARS, TIMED, and SORCE missions, are primarily a function of time and often also wavelength. Their measurements are typically made on a scale of seconds and derived products are provided at daily cadence. The first version of the LISIRD site was built using non standard, proprietary software. The non standard application structure and tight coupling to a variety of dataset representations made changes arduous and maintenance difficult. Eventually the software vender decided to no longer support a critical software component, further decreasing the viability of the site. In LISIRD 2, through the application of the Java EE standard coupled with open source software to fetch and plot the data, the functionality of the original site is being improved while the code structure is being streamlined and simplified. With a relatively minimal effort, the new site can access and serve a greater variety of datasets in an easier fashion, and produce responsive, interactive plots of datasets overlaid and/or linked in time. And it does so using a significantly smaller code base that is, at the same time, much more flexible and extensible. In particular, LISIRD 2 heavily leverages powerful, flexible functionality provided by the Time Series Data Server (TSDS). The OPeNDAP compliant TSDS supports requests for any data that are function of time. It can support scalar, vector, and spectra data types. Through the use of the Unidata NetCDF-Java library and NcML, the TSDS supports multiple input and output formats and is easily extended to support more. It also supports a variety of filters that can be chained and applied to the data on the server before being delivered. TSDS thinning capabilities make it easy for the clients to request appropriate data

  5. Virtual Exploration and Comparison of Linear Mastoid Drilling Trajectories with True-Color Volume Rendering and the Visible Ear Dataset

    PubMed Central

    KAHRS, Lueder A.; LABADIE, Robert F.

    2015-01-01

    This paper provides instructions for a virtual exploration and self-study of surgical approaches within the temporal bone. Linear drilling trajectories in the sense of keyhole accesses are compared with free true-color rendering techniques to introduce and evaluate new otologic approaches. On the basis of free cyro-histology image data from a temporal bone six different drill canals are presented. Such a virtual method has the potential to be a first step of investigation of new surgical approaches before moving to cadaver testing. PMID:23400159

  6. Combining ECS Exploration and Scientific Interest: The Case of the Demarara Plateau Offshore French Guiana (Invited)

    NASA Astrophysics Data System (ADS)

    Roest, W. R.; Loncke, L.; Loubrieu, B.

    2013-12-01

    The French national program for the extension of the continental shelf, EXTRAPLAC, started in 2002 with funding from the French Government. It is let by Ifremer, with as principle partners the SHOM (Hydrographic and Oceanographic Service of the Navy), IPEV (French Polar Institute) and IFP Energies Nouvelles. Its aim is to make submissions for extended continental shelf beyond 200 nm to the Commission on the Limits of the Continental Shelf under the UN Convention on the Law of the Sea. Nine submissions, of which 3 are joint with neighboring states, have been made thus far, concerning areas off metropolitan France and its overseas territories. In total, over 360 days of ship time was needed to explore these vast and dispersed areas, in the Atlantic, Pacific and Indian Oceans. The data collected include multibeam bathymetry, seismic reflection and some rock sampling. In this presentation we will describe how the EXTRAPLAC cruise offshore French Guiana (GUYAPLAC, R/V L'Atalante, 2003) let to new scientific results for this transform type margin, in particular in the area of the Demerara Plateau. These include the discovery of gigantic submarine land slides in the subsurface, and associated fluid escape features on the seafloor. A scientific collaboration between the EXTRAPLAC team and academia let to a follow-up cruise proposal to further explore this unique continental margin: The IGUANES cruise, let by the University of Perpignan, took place in April/May 2013, using a higher resolution multibeam echosounder, high resolution seismic reflection and sediment cores. In particular we were able to confirm and better map significant submarine landslide scarps, aligned pockmark fields and sediment waves that likely associated with strong bottom currents and/or the submarine landslides. We will also briefly describe some of the highlight results of other ECS related cruises to show how the EXTRAPLAC program has resulted in new knowledge in remote frontier areas that had very

  7. Using the mystery box as a means to explore the scientific method in an undergraduate lecture setting

    NASA Astrophysics Data System (ADS)

    Cook, H. M.; Cook, G. W.

    2015-12-01

    The mystery box is a well-known and well-loved teaching tool designed to encourage students to engage in making observations in order to draw conclusions. We have adapted this exercise, normally used in laboratory settings, for use in a lecture setting in introductory earth science classes. We have tied it to the scientific method such that students are engaging in mystery-box- based inquiry while exploring the steps of the scientific method. It is used in conjunction with a PowerPoint presentation that illustrates and discusses the steps and process integral to the scientific method, which is fundamental to science. Students are encouraged to explore the formal and informal use of the scientific method throughout their educational careers and in their daily lives. Furthermore, students are challenged to analyze the necessity of the scientific method as means for conducting scientific inquiry and exploring the results of such inquiry. A follow-up assignment to the activity asks students to evaluate the efficacy of the activity and associated PowerPoint and discussion. Students consistently report having enjoyed and learned from the process.

  8. Integration of multi-source and multi-scale datasets for 3D structural modeling for subsurface exploration targeting, Luanchuan Mo-polymetallic district, China

    NASA Astrophysics Data System (ADS)

    Wang, Gongwen; Ma, Zhenbo; Li, Ruixi; Song, Yaowu; Qu, Jianan; Zhang, Shouting; Yan, Changhai; Han, Jiangwei

    2017-04-01

    In this paper, multi-source (geophysical, geochemical, geological and remote sensing) datasets were used to construct multi-scale (district-, deposit-, and orebody-scale) 3D geological models and extract 3D exploration criteria for subsurface Mo-polymetallic exploration targeting in the Luanchuan district in China. The results indicate that (i) a series of region-/district-scale NW-trending thrusts controlled main Mo-polymetallic forming, and they were formed by regional Indosinian Qinling orogenic events, the secondary NW-trending district-scale folds and NE-trending faults and the intrusive stock structure are produced based on thrust structure in Caledonian-Indosinian orogenic events; they are ore-bearing zones and ore-forming structures; (ii) the NW-trending district-scale and NE-trending deposit-scale normal faults were crossed and controlled by the Jurassic granite stocks in 3D space, they are associated with the magma-skarn Mo polymetallic mineralization (the 3D buffer distance of ore-forming granite stocks is 600 m) and the NW-trending hydrothermal Pb-Zn deposits which are surrounded by the Jurassic granite stocks and constrained by NW-trending or NE-trending faults (the 3D buffer distance of ore-forming fault is 700 m); and (iii) nine Mo polymetallic and four Pb-Zn targets were identified in the subsurface of the Luanchuan district.

  9. Scientific Investigations Associated with the Human Exploration of Mars in the Next 35 Years

    NASA Technical Reports Server (NTRS)

    Niles, P. B.; Beaty, David; Hays, Lindsay; Bass, Deborah; Bell, Mary Sue; Bleacher, Jake; Cabrol, Nathalie A.; Conrad, Pan; Eppler, Dean; Hamilton, Vicky; Head, Jim; Kahre, Melinda; Levy, Joe; Lyons, TIm; Rafkin, Scot; Rice, Jim; Rice, Melissa

    2017-01-01

    A human mission to Mars would present an unprecedented opportunity to investigate the earliest history of the solar system. This history that has largely been overwritten on Earth by active geological processing throughout its history, but on Mars, large swaths of the ancient crust remain exposed at the surface, allowing us to investigate martian processes at the earliest time periods when life first appeared on the Earth. Mars' surface has been largely frozen in place for 4 billion years, and after losing its atmosphere and magnetic field what re-mains is an ancient landscape of former hydrothermal systems, river beds, volcanic eruptions, and impact craters. This allows us to investigate scientific questions ranging from the nature of the impact history of the solar system to the origins of life. We present here a summary of the findings of the Human Science Objectives Science Analysis Group, or HSO-SAG chartered by MEPAG in 2015 to address science objectives and landing site criteria for future human missions to Mars (Niles, Beaty et al. 2015). Currently, NASA's plan to land astronauts on Mars in the mid 2030's would allow for robust human exploration of the surface in the next 35 years. We expect that crews would be able to traverse to sites up to 100 km away from the original landing site using robust rovers. A habitat outfitted with state of the art laboratory facilities that could enable the astronauts to perform cutting edge science on the surface of Mars. Robotic/human partnership during exploration would further enhance the science return of the mission.

  10. Building the Next Generation of Scientific Explorers through Active Engagement with STEM Experts and International Space Station Resources

    NASA Technical Reports Server (NTRS)

    Graff, P. V.; Vanderbloemen, L.; Higgins, M.; Stefanov, W. L.; Rampe, E.

    2015-01-01

    Connecting students and teachers in classrooms with science, technology, engineering, and mathematics (STEM) experts provides an invaluable opportunity for all. These experts can share the benefits and utilization of resources from the International Space Station (ISS) while sharing and "translating" exciting science being conducted by professional scientists. Active engagement with these STEM experts involves students in the journey of science and exploration in an enthralling and understandable manner. This active engagement, connecting classrooms with scientific experts, helps inspire and build the next generation of scientific explorers in academia, private industry, and government.

  11. Does Anyone Really Know Anything? An Exploration of Constructivist Meaning and Identity in the Tension between Scientific and Religious Knowledge

    ERIC Educational Resources Information Center

    Starr, Lisa J.

    2010-01-01

    In this paper I discuss the tension created by religion and science in one student's understanding of knowledge and truth by exploring two questions: "How do individuals accommodate their religious beliefs with their understanding of science?" and "How does religious knowledge interact with scientific knowledge to construct meaning?" A…

  12. Exploring Learners' Beliefs about Science Reading and Scientific Epistemic Beliefs, and Their Relations with Science Text Understanding

    ERIC Educational Resources Information Center

    Yang, Fang-Ying; Chang, Cheng-Chieh; Chen, Li-Ling; Chen, Yi-Chun

    2016-01-01

    The main purpose of this study was to explore learners' beliefs about science reading and scientific epistemic beliefs, and how these beliefs were associating with their understanding of science texts. About 400 10th graders were involved in the development and validation of the Beliefs about Science Reading Inventory (BSRI). To find the effects…

  13. Exploring the Impacts of Cognitive and Metacognitive Prompting on Students' Scientific Inquiry Practices within an E-Learning Environment

    ERIC Educational Resources Information Center

    Zhang, Wen-Xin; Hsu, Ying-Shao; Wang, Chia-Yu; Ho, Yu-Ting

    2015-01-01

    This study explores the effects of metacognitive and cognitive prompting on the scientific inquiry practices of students with various levels of initial metacognition. Two junior high school classes participated in this study. One class, the experimental group (n?=?26), which received an inquiry-based curriculum with a combination of cognitive and…

  14. Exploring the quality and credibility of students' argumentation: Teacher facilitated technology embedded scientific inquiry

    NASA Astrophysics Data System (ADS)

    Puvirajah, Anton

    This study, part of a larger NSF funded research documented, narrated, analyzed, and interpreted how students were engaged in scientific inquiry. The study also documented, analyzed, and interpreted the nature of students' argumentation as they participated in an issue-based long-term scientific inquiry. The following research questions framed the study: What was the teacher's role in facilitating her students' long-term research projects? Which scientific inquiry components became more visible than others as students conducted their long-term research projects? What is the general nature of arguments presented by the students? What relationships exist between students' structures of arguments and the arguments' scientific credibility? A class of high school Advanced Placement Environmental Science students and their teacher participated in the study. A variety of data were collected from the teacher and the students as they engaged in teaching and learning. Twelve components of scientific inquiry were extracted from literature and used to determine the extent to which the teacher encouraged and the students exhibited scientific inquiry. While many instances of the teacher encouraging scientific inquiry practices were documented, the type of scientific inquiry components encouraged varied considerably. It was found that the teacher encouraged lower order thinking scientific inquiry components more than high order thinking components. Data from students' inquiry practices also yielded similar results. Realizing some of the shortcomings of previously developed models of argumentation, an alternative model was proposed in this study. Called Structure of Arguments and Scientific Credibility Model (SASC), this model was used in analyzing students' arguments for quality and scientific credibility. Using the model, it was determined that students' quality of arguments and the arguments' scientific credibility varied much and do not necessarily support each other in

  15. Cell-Phone Use and Cancer: A Case Study Exploring the Scientific Method

    ERIC Educational Resources Information Center

    Colon Parrilla, Wilma V.

    2007-01-01

    Designed for an introductory nonmajors biology course, this case study presents students with a series of short news stories describing a scientific study of cell-phone use and its health effects. Students read the news stories and then the scientific paper they are based on, comparing the information presented by the news media to the information…

  16. Exploring the limits of classical physics: Planck, Einstein, and the structure of a scientific revolution

    NASA Astrophysics Data System (ADS)

    Büttner, Jochen; Renn, Jürgen; Schemmel, Matthias

    The emergence of the quantum theory in the beginning of the last century is generally seen as a scientific revolution par excellence. Although numerous studies have been dedicated to its historical analysis, there is so far only one major work available with an explicit historical theory of scientific revolutions in the background, Thomas Kuhn's Black-Body Theory and the Quantum Discontinuity of 1978.

  17. Exploring Turkish Upper Primary Level Science Textbooks' Coverage of Scientific Literacy Themes

    ERIC Educational Resources Information Center

    Çakici, Yilmaz

    2012-01-01

    Problem Statement: Since the 1970s, scientific literacy has been a major goal of national educational systems throughout the world, and thus reform movements in science education call for all students to be scientifically literate. Despite some good curricular changes and developments across the globe, much remains to be achieved. Given that…

  18. Exploring "The World around Us" in a Community of Scientific Enquiry

    ERIC Educational Resources Information Center

    Dunlop, Lynda; Compton, Kirsty; Clarke, Linda; McKelvey-Martin, Valerie

    2013-01-01

    The primary Communities of Scientific Enquiry project is one element of the outreach work in Science in Society in Biomedical Sciences in partnership with the School of Education at the University of Ulster. The project aims to develop scientific understanding and skills at key stage 2 and is a response to several contemporary issues in primary…

  19. Exploring the Assessment of and Relationship between Elementary Students' Scientific Creativity and Science Inquiry

    ERIC Educational Resources Information Center

    Yang, Kuay-Keng; Lin, Shu-Fen; Hong, Zuway-R; Lin, Huann-shyang

    2016-01-01

    The purposes of this study were to (a) develop and validate instruments to assess elementary students' scientific creativity and science inquiry, (b) investigate the relationship between the two competencies, and (c) compare the two competencies among different grade level students. The scientific creativity test was composed of 7 open-ended items…

  20. Exploring teachers' learning: A teacher's experiences integrating scientific modeling in the science classroom

    NASA Astrophysics Data System (ADS)

    Gonzalez Maza, Mirta Elizabeth

    This study, a narrative inquiry into the teaching of models and modeling in an elementary science classroom, explores a teacher's growth in pedagogical content knowledge (PCK) as she implemented a novel curriculum adapted from the MoDeLS (Modeling Designs for the Learning of Science) project. The purpose of the study was to explore, from the teacher's point of view, the pedagogical and conceptual changes she underwent while implementing a model-based approach in her classroom. The study summarizes the teacher's experiences, her decisions about teaching, her understanding of how her choices and practices influenced her content knowledge (CK), her PCK, and her motivations for changing her teaching. During the three years of the project I collected data from four science units (Astronomy, Animal Science, Electricity, and Light). Each of the units were observed and videotaped and Ms. Delaney (pseudonym), the classroom teacher, audio-recorded her practices every day. I observed and analyzed classroom videotapes in order to explore how Ms. Delaney's modeling practices unfolded and changed in her classroom and how her PCK on modeling developed. I analyzed professional development activities and informal interviews conducted during and after the units. Subsequently I interviewed Ms. Delaney about these issues using open-ended questions and video clips of her classroom practices. Three aspects of models and modeling expressed in the MoDeLS project were taken into account as I developed categories of analysis: a) models have purpose; b) models have limitations; and c) models change. These categories and the codes proposed were revised and refined while analyzing the data. The findings from the interview analyses and the classroom practices showed that Ms. Delaney developed new CK around models and modeling throughout the three years she was involved in the project. She adapted some of the proposed strategies from the MoDeLS project and adopted them in her curriculum in ways

  1. Asthma in the community: Designing instruction to help students explore scientific dilemmas that impact their lives

    NASA Astrophysics Data System (ADS)

    Tate, Erika Dawn

    School science instruction that connects to students' diverse home, cultural, or linguistic experiences can encourage lifelong participation in the scientific dilemmas that impact students' lives. This dissertation seeks effective ways to support high school students as they learn complex science topics and use their knowledge to transform their personal and community environments. Applying the knowledge integration perspective, I collaborated with education, science, and community partners to design a technology enhanced science module, Improving Your Community's Asthma Problem. This exemplar community science curriculum afforded students the opportunity to (a) investigate a local community health issue, (b) interact with relevant evidence related to physiology, clinical management, and environmental risks, and (c) construct an integrated understanding of the asthma problem in their community. To identify effective instructional scaffolds that engage students in the knowledge integration process and prepare them to participate in community science, I conducted 2 years of research that included 5 schools, 10 teachers, and over 500 students. This dissertation reports on four studies that analyzed student responses on pre-, post-, and embedded assessments. Researching across four design stages, the iterative design study investigated how to best embed the visualizations of the physiological processes breathing, asthma attack, and the allergic immune response in an inquiry activity and informed evidence-based revisions to the module. The evaluation study investigated the impact of this revised Asthma module across multiple classrooms and differences in students' prior knowledge. Combining evidence of student learning from the iterative and evaluation studies with classroom observations and teacher interviews, the longitudinal study explored the impact of teacher practices on student learning in years 1 and 2. In the final chapter, I studied how the Asthma module and

  2. The MOMENT Magnetic-Mapping Mission: A Nanosatellite for the Scientific Exploration of Mars

    NASA Astrophysics Data System (ADS)

    Eagleson, S.; Mauthe, S.; Sarda, K.; Spencer, H.; Zee, R. E.; Arkani-Hammed, J.

    2008-08-01

    MOMENT (Magnetic Observations of Mars Enabled by Nanosatellite Technology) is a nanosatellite that will obtain high-resolution maps of remnant magnetic fields present in the southern highlands of Mars. A European-developed magnetometer accurate to bet- ter than 0.5 nT and employed in a highly elliptical orbit with a relatively low, 100 km night-side, periapsis will provide much greater spatial resolution and delineation of local magnetic anomalies than is available from the initial surveys performed by Mars Global Surveyor (MGS). During the aerobraking phase of the MGS mission, low-altitude measurements were corrupted by solar wind because they were acquired under sunlit conditions where solar winds interacted with the crustal magnetic fields. During the mapping phase of the mission, spatial resolution was limited to about 400 km. Both of these issues will be overcome by MOMENT's low-altitude, night-side, observing strategy. The resulting magnetic-field maps, for the key areas of interest, will allow detailed studies of regional tectonics and the history of the planet's now- inactive core dynamo. MOMENT's design is based on the Space Flight Laboratory's Generic Nanosatellite Bus (GNB), which is also being developed for the BRITE space-astronomy and CanX-4&5 formation- flight missions. Nominally a 30 x 30 x 30 cm cube on the order of 10 kg mass, MOMENT uses as much GNB technology as possible to provide a rapid and cost-effective mission. The implementation of the mission requires payload space on a larger carrier spacecraft and the use of existing and future Martian communication relays for the transfer of information to and from Earth, necessitating a high level of international co-operation. MOMENT is otherwise fully independent and autonomous, even during scientific operations. This paper describes the conceptual (Canadian Space Agency funded) MOMENT mission and presents a strong case for the use of nanosatellite technology as a relatively simple and cost

  3. The Academic Tree of Howard V. Malmstadt: From Early Scientific Exploration to Modern Analytical Chemistry.

    PubMed

    Storey, Andrew P; Hieftje, Gary M

    2016-12-01

    Over the last several decades, science has benefited tremendously by the implementation of digital electronic components for analytical instrumentation. A pioneer in this area of scientific inquiry was Howard Malmstadt. Frequently, such revolutions in scientific history can be viewed as a series of discoveries without a great deal of attention as to how mentorship shapes the careers and methodologies of those who made great strides forward for science. This paper focuses on the verifiable relationships of those who are connected through the academic tree of Malmstadt and how their experiences and the context of world events influenced their scientific pursuits. Particular attention is dedicated to the development of American chemistry departments and the critical role played by many of the individuals in the tree in this process.

  4. Scientific Investigations Associated with the Human Exploration of Mars in the Next 35 Years

    NASA Astrophysics Data System (ADS)

    Niles, P. B.; Beaty, D.; Hays, L.; Bass, D.; Bell, M. S.; Bleacher, J.; Cabrol, N. A.; Conrad, P.; Eppler, D.; Hamilton, V.; Head, J.; Kahre, M.; Levy, J.; Lyons, T.; Rafkin, S.; Rice, J.; Rice, M.

    2017-02-01

    We present a summary of the findings of the Human Science Objectives Science Analysis Group (HSO-SAG) chartered by MEPAG in 2015 to address science objectives and landing site criteria for future human missions to Mars which could provide incredible scientific discovery.

  5. Exploring Student Identity in an Intercultural Web-Assisted Scientific Inquiry Project

    ERIC Educational Resources Information Center

    Liu, Yingjie; Hannafin, Robert D.

    2010-01-01

    This qualitative study based on Gee's (2001) identity theory examined and compared how American and Chinese middle school students develop identities towards science, culture and technology in an intercultural web-assisted scientific inquiry project. Through analysis of online discussions, videoconferences, interviews, surveys and fieldnotes, we…

  6. Computer Series, 52: Scientific Exploration with a Microcomputer: Simulations for Nonscientists.

    ERIC Educational Resources Information Center

    Whisnant, David M.

    1984-01-01

    Describes two simulations, written for Apple II microcomputers, focusing on scientific methodology. The first is based on the tendency of colloidal iron in high concentrations to stick to fish gills and cause breathing difficulties. The second, modeled after the dioxin controversy, examines a hypothetical chemical thought to cause cancer. (JN)

  7. Dynamics Explorer 2: Continued FPI and NACS instrument data analysis and associated scientific activity at the University of Michigan

    NASA Technical Reports Server (NTRS)

    Burns, Alan; Killeen, T. L.

    1993-01-01

    The grant entitled 'Dynamics Explorer 2 - continued FPI and NACS instrument data analysis and associated scientific activity at the University of Michigan' is a continuation of a grant that began with instrument development for the Dynamics Explorer 2 (DE 2) satellite. Over the years, many publications and presentations at scientific meetings have occurred under the aegis of this grant. This present report details the progress that has been made in the final three years of the grant. In these last 4 years of the grant 26 papers have been published or are in press and about 10 more are in preparation or have been submitted. A large number of presentations have been made in the same time span: 36 are listed in Appendix 2. Evidence of the high educational utility of this research is indicated by the list of Ph. D. and M. S. theses that have been completed in the last 3 years that have involved work connected with NAG5-465. The structure of this report is as follows: a brief synopsis of the aims of the grant NAG5-465 is given in the next section; then there is a summary of the scientific accomplishments that have occurred over the grant period; last, we make some brief concluding remarks. Reprints of articles that have recently appeared in refereed journals are appended to the end of this document.

  8. Exploring prospective secondary science teachers' understandings of scientific inquiry and Mendelian genetics concepts using computer simulation

    NASA Astrophysics Data System (ADS)

    Cakir, Mustafa

    The primary objective of this case study was to examine prospective secondary science teachers' developing understanding of scientific inquiry and Mendelian genetics. A computer simulation of basic Mendelian inheritance processes (Catlab) was used in combination with small-group discussions and other instructional scaffolds to enhance prospective science teachers' understandings. The theoretical background for this research is derived from a social constructivist perspective. Structuring scientific inquiry as investigation to develop explanations presents meaningful context for the enhancement of inquiry abilities and understanding of the science content. The context of the study was a teaching and learning course focused on inquiry and technology. Twelve prospective science teachers participated in this study. Multiple data sources included pre- and post-module questionnaires of participants' view of scientific inquiry, pre-posttests of understandings of Mendelian concepts, inquiry project reports, class presentations, process videotapes of participants interacting with the simulation, and semi-structured interviews. Seven selected prospective science teachers participated in in-depth interviews. Findings suggest that while studying important concepts in science, carefully designed inquiry experiences can help prospective science teachers to develop an understanding about the types of questions scientists in that field ask, the methodological and epistemological issues that constrain their pursuit of answers to those questions, and the ways in which they construct and share their explanations. Key findings included prospective teachers' initial limited abilities to create evidence-based arguments, their hesitancy to include inquiry in their future teaching, and the impact of collaboration on thinking. Prior to this experience the prospective teachers held uninformed views of scientific inquiry. After the module, participants demonstrated extended expertise in

  9. The NASA Scientific and Technical Information Program: Exploring challenges, creating opportunities

    NASA Technical Reports Server (NTRS)

    Sepic, Ronald P.

    1993-01-01

    The NASA Scientific and Technical Information (STI) Program offers researchers access to the world's largest collection of aerospace information. An overview of Program activities, products and services, and new directions is presented. The R&D information cycle is outlined and specific examples of the NASA STI Program in practice are given. Domestic and international operations and technology transfer activities are reviewed and an agenda for the STI Program NASA-wide is presented. Finally, the incorporation of Total Quality Management and evaluation metrics into the STI Program is discussed.

  10. Exploring the first scientific observations of lunar eclipses made in Siam

    NASA Astrophysics Data System (ADS)

    Orchiston, Wayne; Orchiston, Darunee Lingling; George, Martin; Soonthornthum, Boonrucksar

    2016-04-01

    The first great ruler to encourage the adoption of Western culture and technology throughout Siam (present-day Thailand) was King Narai, who also had a passion for astronomy. He showed this by encouraging French and other Jesuit missionaries, some with astronomical interests and training, to settle in Siam from the early 1660s. One of these was Father Antoine Thomas, and he was the first European known to have carried out scientific astronomical observations from Siam when he determined the latitude of Ayutthaya in 1681 and the following year observed the total lunar eclipse of 22 February. A later lunar eclipse also has an important place in the history of Thai astronomy. In 1685 a delegation of French missionary-astronomers settled in Ayutthaya, and on 10-11 December 1685 they joined King Narai and his court astrologers and observed a lunar eclipse from the King's 'country retreat' near Lop Buri. This event so impressed the King that he approved the erection of a large modern well-equipped astronomical observatory at Lop Buri. Construction of Wat San Paulo Observatory - as it was known - began in 1686 and was completed in 1687. In this paper we examine these two lunar eclipses and their association with the development of scientific astronomy in Siam.

  11. Using a Modeling Approach To Explore Scientific Epistemology with High School Biology Students. Research Report.

    ERIC Educational Resources Information Center

    Cartier, Jennifer

    This paper describes a study of high school students' participation in the construction and revision of explanatory models as they attempted to account for a variety of inheritance phenomena observed in computer-generated "fruit flies". Throughout the course students were encouraged to explore epistemological issues related to the assessment and…

  12. Exploring the Use of a Cartoon as a Learner Scaffold in the Planning of Scientific Investigations

    ERIC Educational Resources Information Center

    Ramnarain, Umesh

    2012-01-01

    Despite curriculum imperatives, in South Africa and worldwide, for learners to have more autonomy in investigations, they remain largely teacher controlled with learners having only limited opportunities in planning. This design-based study explored how a cartoon can be employed in a Grade 9 Natural Sciences class in prompting learners to plan…

  13. International Space Station Accomplishments Update: Scientific Discovery, Advancing Future Exploration, and Benefits Brought Home to Earth

    NASA Technical Reports Server (NTRS)

    Thumm, Tracy; Robinson, Julie A.; Alleyne, Camille; Hasbrook, Pete; Mayo, Susan; Johnson-Green, Perry; Buckley, Nicole; Karabadzhak, George; Kamigaichi, Shigeki; Umemura, Sayaka; Sorokin, Igor V.; Zell, Martin; Istasse, Eric; Sabbagh, Jean; Pignataro, Salvatore

    2013-01-01

    Throughout the history of the International Space Station (ISS), crews on board have conducted a variety of scientific research and educational activities. Well into the second year of full utilization of the ISS laboratory, the trend of scientific accomplishments and educational opportunities continues to grow. More than 1500 investigations have been conducted on the ISS since the first module launched in 1998, with over 700 scientific publications. The ISS provides a unique environment for research, international collaboration and educational activities that benefit humankind. This paper will provide an up to date summary of key investigations, facilities, publications, and benefits from ISS research that have developed over the past year. Discoveries in human physiology and nutrition have enabled astronauts to return from ISS with little bone loss, even as scientists seek to better understand the new puzzle of "ocular syndrome" affecting the vision of up to half of astronauts. The geneLAB campaign will unify life sciences investigations to seek genomic, proteomic, and metabolomics of the effect of microgravity on life as a whole. Combustion scientists identified a new "cold flame" phenomenon that has the potential to improve models of efficient combustion back on Earth. A significant number of instruments in Earth remote sensing and astrophysics are providing new access to data or nearing completion for launch, making ISS a significant platform for understanding of the Earth system and the universe. In addition to multidisciplinary research, the ISS partnership conducts a myriad of student led research investigations and educational activities aimed at increasing student interest in science, technology, engineering and mathematics (STEM). Over the past year, the ISS partnership compiled new statistics of the educational impact of the ISS on students around the world. More than 43 million students, from kindergarten to graduate school, with more than 28 million

  14. International space station accomplishments update: Scientific discovery, advancing future exploration, and benefits brought home to earth

    NASA Astrophysics Data System (ADS)

    Thumm, Tracy; Robinson, Julie A.; Alleyne, Camille; Hasbrook, Pete; Mayo, Susan; Buckley, Nicole; Johnson-Green, Perry; Karabadzhak, George; Kamigaichi, Shigeki; Umemura, Sayaka; Sorokin, Igor V.; Zell, Martin; Istasse, Eric; Sabbagh, Jean; Pignataro, Salvatore

    2014-10-01

    Throughout the history of the International Space Station (ISS), crews on board have conducted a variety of scientific research and educational activities. Well into the second year of full utilization of the ISS laboratory, the trend of scientific accomplishments and educational opportunities continues to grow. More than 1500 investigations have been conducted on the ISS since the first module launched in 1998, with over 700 scientific publications. The ISS provides a unique environment for research, international collaboration and educational activities that benefit humankind. This paper will provide an up to date summary of key investigations, facilities, publications, and benefits from ISS research that have developed over the past year. Discoveries in human physiology and nutrition have enabled astronauts to return from ISS with little bone loss, even as scientists seek to better understand the new puzzle of “ocular syndrome” affecting the vision of up to half of astronauts. The geneLAB campaign will unify life sciences investigations to seek genomic, proteomic and metabolomics of the effect of microgravity on life as a whole. Combustion scientists identified a new “cold flame” phenomenon that has the potential to improve models of efficient combustion back on Earth. A significant number of instruments in Earth remote sensing and astrophysics are providing new access to data or nearing completion for launch, making ISS a significant platform for understanding of the Earth system and the universe. In addition to multidisciplinary research, the ISS partnership conducts a myriad of student led research investigations and educational activities aimed at increasing student interest in science, technology, engineering and mathematics (STEM). Over the past year, the ISS partnership compiled new statistics of the educational impact of the ISS on students around the world. More than 43 million students, from kindergarten to graduate school, with more than 28

  15. Exploring access to scientific literature using content-based image retrieval

    NASA Astrophysics Data System (ADS)

    Deserno, Thomas M.; Antani, Sameer; Long, Rodney

    2007-03-01

    The number of articles published in the scientific medical literature is continuously increasing, and Web access to the journals is becoming common. Databases such as SPIE Digital Library, IEEE Xplore, indices such as PubMed, and search engines such as Google provide the user with sophisticated full-text search capabilities. However, information in images and graphs within these articles is entirely disregarded. In this paper, we quantify the potential impact of using content-based image retrieval (CBIR) to access this non-text data. Based on the Journal Citations Report (JCR), the journal Radiology was selected for this study. In 2005, 734 articles were published electronically in this journal. This included 2,587 figures, which yields a rate of 3.52 figures per article. Furthermore, 56.4% of these figures are composed of several individual panels, i.e. the figure combines different images and/or graphs. According to the Image Cross-Language Evaluation Forum (ImageCLEF), the error rate of automatic identification of medical images is about 15%. Therefore, it is expected that, by applying ImageCLEF-like techniques, already 95.5% of articles could be retrieved by means of CBIR. The challenge for CBIR in scientific literature, however, is the use of local texture properties to analyze individual image panels in composite illustrations. Using local features for content-based image representation, 8.81 images per article are available, and the predicted correctness rate may increase to 98.3%. From this study, we conclude that CBIR may have a high impact in medical literature research and suggest that additional research in this area is warranted.

  16. MiniGhost : a miniapp for exploring boundary exchange strategies using stencil computations in scientific parallel computing.

    SciTech Connect

    Barrett, Richard Frederick; Heroux, Michael Allen; Vaughan, Courtenay Thomas

    2012-04-01

    A broad range of scientific computation involves the use of difference stencils. In a parallel computing environment, this computation is typically implemented by decomposing the spacial domain, inducing a 'halo exchange' of process-owned boundary data. This approach adheres to the Bulk Synchronous Parallel (BSP) model. Because commonly available architectures provide strong inter-node bandwidth relative to latency costs, many codes 'bulk up' these messages by aggregating data into a message as a means of reducing the number of messages. A renewed focus on non-traditional architectures and architecture features provides new opportunities for exploring alternatives to this programming approach. In this report we describe miniGhost, a 'miniapp' designed for exploration of the capabilities of current as well as emerging and future architectures within the context of these sorts of applications. MiniGhost joins the suite of miniapps developed as part of the Mantevo project.

  17. Key Recent Scientific Results from the Opportunity Rover's Exploration of Cape Tribulation, Endeavour Crater, Mars

    NASA Astrophysics Data System (ADS)

    Arvidson, R. E.; Squyres, S. W.; Gellert, R.; Herkenhoff, K. E.; Mittlefehldt, D. W.; Crumpler, L. S.; McLennan, S. M.; Farrand, W. H.; Jolliff, B. L.; Morris, R. V.

    2015-12-01

    The Opportunity Rover is in its 11th year of exploration, currently exploring the Cape Tribulation rim segment of the ~22 km wide Noachian Endeavour Crater and its tilted and fractured outcrops. A key target for Opportunity's measurements has been the Spirit of Saint Louis crater (SoSL), which is ~25 m wide, oval in plan view, shallow, flat-floored, and has a slightly raised rim. SoSL crater is surrounded by an apron of bright, polygonally-shaped outcrops and is superimposed on a gentle swale in Cape Tribulation. Rocks in a thin reddish zone on the rim are enriched in hematite, Si, and Ge, and depleted in Fe, relative to surrounding rocks. Apron rocks include an outcrop also enriched in Si and Ge, and slightly depleted in Fe. In general rocks in the crater and apron have elevated S levels relative to Shoemaker formation breccias, tracking values observed in the Cook Haven (gentle swale superimposed on Murray Ridge and site of Opportunity's 5th winter site) and the Hueytown fracture (running perpendicular to Cape Tribulation) outcrops. SoSL crater lies just to the west of Marathon Valley, a key target for exploration by Opportunity because five separate CRISM observations indicate the presence of Fe/Mg smectites on the upper valley floor. Opportunity data show that low relief, relatively bright, wind-scoured outcrops dominate the valley floor where not covered by scree and soil shed from surrounding walls. Initial reconnaissance shows that the outcrops are breccias with compositions similar to the typical SoSL crater apron and floor rocks, although only the very upper portion of the valley has been explored as of August 2015. Pervasive but modest aqueous alteration of Endeavour's rim is implied by the combination of CRISM and Opportunity data, providing insight into early aqueous processes dominated in this location by relatively low water to rock ratios, and at least in part associated with enhanced fluid flow along fractures.

  18. Key Recent Scientific Results from the Opportunity Rover's Exploration of Endeavour Crater, Mars

    NASA Technical Reports Server (NTRS)

    Arvidson, R. E.; Squyres, S. W.; Gellert, R.; Herkenhoff, K.; Mittlefehldt, D.; Crumpler, L.; McLennan, S.; Farrand, W. H.; Joliff, B. L.; Morris, R. V.

    2015-01-01

    The Opportunity Rover is currently in its 11th year of operations, exploring the rim of the approximately 22 km wide Noachian-age Endeavour Crater. Opportunity spent its 5th winter season in Cook Haven, a gentle swale along Murray Ridge. Two small rocks serendipitously overturned by rover wheel motions show evidence for aqueous precipitation of sulfates, and interaction with a strong oxidant (e.g., O2) to form a thin, high valence state Mn oxide coating. After the winter, Opportunity headed south to Cape Tribulation and explored Shoemaker formation impact breccias, finding numerous Ca-sulfate veins cutting across outcrops. A key target for Opportunity's measurements has been the Spirit of Saint Louis crater (SoSL), which is approximately 25 m wide, oval in plan view, shallow, flat-floored, and has a slightly raised rim. SoSL crater is surrounded by an apron of bright, polygonally-shaped outcrops and is superimposed on a gentle swale in Cape Tribulation. Rocks in a thin reddish zone on the rim are enriched in hematite, Si, and Ge, and depleted in Fe, relative to surrounding rocks. Apron rocks include an outcrop also enriched in Si and Ge, and slightly depleted in Fe. In general rocks in the crater and apron have elevated S relative to Shoemaker formation breccias, tracking values observed in the Cook Haven and the Hueytown (fracture running perpendicular to Cape Tribulation) outcrops. SoSL crater lies just to the west of Marathon Valley, a key target for exploration by Opportunity because five separate CRISM observations indicate the presence of Fe/Mg smectites on the upper valley floor. Opportunity data show that low relief, relatively bright polygonal outcrops dominate the valley floor where not covered by scree and soil shed from surrounding walls. Initial reconnaissance shows that the outcrops are breccias with compositions similar to the typical SoSL crater apron and floor rocks, although only the very upper portion of the valley has been explored as of August

  19. Scientific Investigations To Prepare For The Potential Human Exploration Of Mars

    NASA Astrophysics Data System (ADS)

    Hays, Lindsay; Beaty, David; Whitley, Ryan

    2016-07-01

    In order for human missions to the martian system to be successful and safe, we need a certain minimum set of knowledge. Comparison of what we need to know with what we already know defines what we refer to as "Strategic Knowledge Gaps (SKGs)". The SKG list needs to be the driving force behind the robotic precursor program. The Mars SKG list was first constructed by the Precursor Strategy Analysis Group (P-SAG) in 2012. It consisted of 17 SKGs that could be addressed by about 60 gap-filling activities (GFA). These GFAs were split into three groups based on where and how they could be carried out: requires a Mars flight/mission, addressed on Earth, or technology demonstration. Those GFAs that require a Mars mission were incorporated into the revision of the 2012 Goals Document of the Mars Exploration Program Analysis Group (MEPAG) as "investigations" under Goal IV: Prepare for Human Exploration. In 2015, MEPAG updated the Goals Document, and comparison of the 2012 and 2015 versions shows that significant and encouraging overall progress has been made on a number of the investigations. We note three specific kinds of changes: 1) Complete retirement of several investigations, 2) Decreased investigation priority based on partial progress, and 3) Addition of a few new investigations. Some of these changes are detailed below: Retired: • Simultaneous spectra of solar energetic particles in space and ion the surface • Spectra of galactic cosmic rays on the surface • Trace gas abundances • Determine traction/cohesion in martian regolith • Determine vertical variation in regolith • High spatial resolution maps of mineral composition and abundance • High spatial resolution maps of subsurface ice depth and concentration Decreased Priority: • Making long-term measurements of winds and wind directions (improvements in EDL technologies have decreased the importance of this measurement) • Profile the near-surface winds (improvements in EDL technologies have

  20. U.S. Geological Survey scientific activities in the exploration of Antarctica: 2002-03 field season

    USGS Publications Warehouse

    Meunier, Tony K.; Williams, Richard S.; Ferrigno, Jane G.

    2007-01-01

    The U.S. Geological Survey (USGS) mapping program in Antarctica is one of the longest continuously funded projects in the United States Antarctic Program (USAP). This is the 53rd U.S. expedition to Antarctica in which USGS scientists have participated. The financial support from the National Science Foundation, which extends back to the time of the International Geophysical Year (IGY) in 1956–57, can be attributed to the need for accurate maps of specific field areas or regions where NSF-funded science projects were planned. The epoch of Antarctic exploration during the IGY was being driven by science, and, in a spirit of peaceful cooperation, the international scientific community wanted to limit military activities on the continent to logistical support. The USGS, a Federal civilian science agency in the Department of the Interior, had, since its founding in 1879, carried out numerous field-based national (and some international) programs in biology, geology, hydrology, and mapping. Therefore, the USGS was the obvious choice for these tasks, because it already had a professional staff of experienced mapmakers and program managers with the foresight, dedication, and understanding of the need for accurate maps to support the science programs in Antarctica when asked to do so by the U.S. National Academy of Sciences. Public Laws 85-743 and 87-626, signed in August 1958 and in September 1962, respectively, authorized the Secretary, U.S. Department of the Interior, through the USGS, to support mapping and scientific work in Antarctica. The USGS mapping and science programs still play a significant role in the advancement of science in Antarctica today. Antarctica is the planet's 5th largest continent [13.2 million km2 (5.1 million mi2)], it contains the world's largest (of two) remaining ice sheets, and it is considered to be one of the most important scientific laboratories on Earth. This report provides documentation of USGS scientific activities in the

  1. U.S. Geological Survey scientific activities in the exploration of Antarctica: 1995-96 field season

    USGS Publications Warehouse

    Meunier, Tony K.; Williams, Richard S.; Ferrigno, Jane G.

    2007-01-01

    The U.S. Geological Survey (USGS) mapping program in Antarctica is one of the longest continuously funded projects in the United States Antarctic Program (USAP). This is the 46th U.S. expedition to Antarctica in which USGS scientists have participated. The financial support from the National Science Foundation, which extends back to the time of the International Geophysical Year (IGY) in 1956-57, can be attributed to the need for accurate maps of specific field areas or regions where NSF-funded science projects were planned. The epoch of Antarctic exploration during the IGY was being driven by science and, in a spirit of peaceful cooperation, the international scientific community wanted to limit military activities on the continent to logistical support. The USGS, a Federal civilian science agency in the Department of the Interior, had, since its founding in 1879, carried out numerous field-based national (and some international) programs in biology, geology, hydrology, and mapping. Therefore, the USGS was the obvious choice for these tasks, because it already had a professional staff of experienced mapmakers and program managers with the foresight, dedication, and understanding of the need for accurate maps to support the science programs in Antarctica when asked to do so by the U.S. National Academy of Sciences. Public Laws 85-743 and 87-626, signed in August 1958 and in September 1962, respectively, authorized the Secretary, U.S. Department of the Interior, through the USGS, to support mapping and scientific work in Antarctica. The USGS mapping and science programs still play a significant role in the advancement of science in Antarctica today. Antarctica is the planet's 5th largest continent (13.2 million km2 (5.1 million mi2)), it contains the world's largest (of two) remaining ice sheet, and it is considered to be one of the most important scientific laboratories on Earth. This report provides documentation of USGS scientific activities in the exploration of

  2. Earth Camp: Exploring Earth Change through the Use of Satellite Images and Scientific Practices

    NASA Astrophysics Data System (ADS)

    Baldridge, A.; Buxner, S.; Crown, D. A.; Colodner, D.; Orchard, A.; King, B.; Schwartz, K.; Prescott, A.; Prietto, J.; Titcomb, A.

    2014-07-01

    Earth Camp is a NASA-funded program that gives students and teachers opportunities to explore local, regional, and global earth change through a combination of hands-on investigations and the use of satellite images. Each summer, 20 middle school and 20 high school students participate in a two-week leadership program investigating contemporary issues (e.g., changes in river sheds, water quality, and land use management) through hands-on investigations, analyzing remote sensing data, and working with experts. Each year, 20 teachers participate in a year-long professional development program that includes monthly workshops, field investigations on Mt. Lemmon in Tucson, Arizona, and a week-long summer design workshop. Teachers conduct investigations of authentic questions using satellite images and create posters to present results of their study of earth change. In addition, teachers design lesson plans to expand their students' ability to investigate earth change with 21st Century tools. Lessons can be used as classroom exercises or for after-school club programs. Independent evaluation has been an integral part of program development and delivery for all three audiences, enabling the program staff and participants to reflect on and continually improve their practice and learning over the three-year period.

  3. Application of scientific core drilling to geothermal exploration: Platanares, Honduras and Tecuamburro Volcano, Guatemala, Central America

    SciTech Connect

    Goff, S.J.; Goff, F.E.; Heiken, G.H.; Duffield, W.A.; Janik, C.J.

    1994-04-01

    Our efforts in Honduras and Guatemala were part of the Central America Energy Resource Project (CAERP) funded by the United States Agency for International Development (AID). Exploration core drilling operations at the Platanares, Honduras and Tecuamburro Volcano, Guatemala sites were part of a geothermal assessment for the national utility companies of these countries to locate and evaluate their geothermal resources for electrical power generation. In Honduras, country-wide assessment of all thermal areas determined that Platanares was the site with the greatest geothermal potential. In late 1986 to middle 1987, three slim core holes were drilled at Platanares to a maximum depth of 680 m and a maximum temperature of 165{degree}C. The objectives were to obtain information on the geothermal gradient, hydrothermal alterations, fracturing, and possible inflows of hydrothermal fluids. Two holes produced copious amounts of water under artesian conditions and a total of 8 MW(t) of energy. Geothermal investigations in Guatemala focused on the Tecuamburro Volcano geothermal site. The results of surface geological, volcanological, hydrogeochemical, and geophysical studies at Tecuamburro Volcano indicated a substantial shallow heat source. In early 1990 we drilled one core hole, TCB-1, to 808 m depth. The measured bottom hole temperature was 238{degree}C. Although the borehole did not flow, in-situ samples indicate the hole is completed in a vapor-zone above a probable 300{degree}C geothermal reservoir.

  4. Final Scientific / Technical Report, Geothermal Resource Exploration Program, Truckhaven Area, Imperial County, California

    SciTech Connect

    Layman Energy Associates, Inc.

    2006-08-15

    With financial support from the U.S. Department of Energy (DOE), Layman Energy Associates, Inc. (LEA) has completed a program of geothermal exploration at the Truckhaven area in Imperial County, California. The exploratory work conducted by LEA included the following activities: compilation of public domain resource data (wells, seismic data, geologic maps); detailed field geologic mapping at the project site; acquisition and interpretation of remote sensing imagery such as aerial and satellite photographs; acquisition, quality control and interpretation of gravity data; and acquisition, quality control and interpretation of resistivity data using state of the art magnetotelluric (MT) methods. The results of this exploratory program have allowed LEA to develop a structural and hydrologic interpretation of the Truckhaven geothermal resource which can be used to guide subsequent exploratory drilling and resource development. Of primary significance, is the identification of an 8 kilometer-long, WNW-trending zone of low resistivity associated with geothermal activity in nearby wells. The long axis of this low resistivity zone is inferred to mark a zone of faulting which likely provides the primary control on the distribution of geothermal resources in the Truckhaven area. Abundant cross-faults cutting the main WNW-trending zone in its western half may indicate elevated fracture permeability in this region, possibly associated with thermal upwelling and higher resource temperatures. Regional groundwater flow is inferred to push thermal fluids from west to east along the trend of the main low resistivity zone, with resource temperatures likely declining from west to east away from the inferred upwelling zone. Resistivity mapping and well data have also shown that within the WNW-trending low resistivity zone, the thickness of the Plio-Pleistocene sedimentary section above granite basement ranges from 1,900–2,600 meters. Well data indicates the lower part of this

  5. Exploring the Impacts of Cognitive and Metacognitive Prompting on Students' Scientific Inquiry Practices Within an E-Learning Environment

    NASA Astrophysics Data System (ADS)

    Zhang, Wen-Xin; Hsu, Ying-Shao; Wang, Chia-Yu; Ho, Yu-Ting

    2015-02-01

    This study explores the effects of metacognitive and cognitive prompting on the scientific inquiry practices of students with various levels of initial metacognition. Two junior high school classes participated in this study. One class, the experimental group (n = 26), which received an inquiry-based curriculum with a combination of cognitive and metacognitive prompts, was compared to the other class, the comparison group (n = 25), which received only cognitive prompts in the same curriculum. Data sources included a test of inquiry practices, a questionnaire of metacognition, and worksheets. The results showed that the mixed cognitive and metacognitive prompts had significant impacts on the students' inquiry practices, especially their planning and analyzing abilities. Furthermore, the mixed prompts appeared to have a differential effect on those students with lower level metacognition, who showed significant improvement in their inquiry abilities. A combination of cognitive and metacognitive prompts during an inquiry cycle was found to promote students' inquiry practices.

  6. Exploring the Philosophical Underpinnings of Research: Relating Ontology and Epistemology to the Methodology and Methods of the Scientific, Interpretive, and Critical Research Paradigms

    ERIC Educational Resources Information Center

    Scotland, James

    2012-01-01

    This paper explores the philosophical underpinnings of three major educational research paradigms: scientific, interpretive, and critical. The aim was to outline and explore the interrelationships between each paradigm's ontology, epistemology, methodology and methods. This paper reveals and then discusses some of the underlying assumptions of…

  7. Benchmark dataset for Whole Genome sequence compression.

    PubMed

    C L, Biji; Nair, Achuthsankar

    2016-05-16

    The research in DNA data compression lacks a standard dataset to test out compression tools specific to DNA. This paper argues that the current state of achievement in DNA compression is unable to be bench marked in the absence of such scientifically compiled whole genome sequence dataset and proposes a bench mark dataset using multistage sampling procedure. Considering the genome sequence of organisms available in the National Centre for Biotechnology and Information (NCBI) as the universe, the proposed dataset selects 1105 prokaryotes, 200 plasmids, 164 viruses and 65 eukaryotes. This paper reports the results of using 3 established tools on the newly compiled dataset and show that their strength and weakness are evident only with a comparison based on the scientifically compiled bench mark data set.

  8. Exploring Science in the Studio: NSF-Funded Initiatives to Increase Scientific Literacy in Undergraduate Art and Design Students

    NASA Astrophysics Data System (ADS)

    Metzger, C. A.

    2015-12-01

    The project Exploring Science in the Studio at California College of the Arts (CCA), one of the oldest and most influential art and design schools in the country, pursues ways to enable undergraduate students to become scientifically literate problem-solvers in a variety of careers and to give content and context to their creative practices. The two main branches of this National Science Foundation-funded project are a series of courses called Science in the Studio (SitS) and the design of the Mobile Units for Science Exploration (MUSE) system, which allow instructors to bring science equipment directly into the studios. Ongoing since 2010, each fall semester a series of interdisciplinary SitS courses are offered in the college's principal areas of study (architecture, design, fine arts, humanities and sciences, and diversity studies) thematically linked by Earth and environmental science topics such as water, waste, and sustainability. Each course receives funding to embed guest scientists from other colleges and universities, industry, or agriculture directly into the studio courses. These scientists worked in tandem with the studio faculty and gave lectures, led field trips, conducted studio visits, and advised the students' creative endeavors, culminating in an annual SitS exhibition of student work. The MUSE system, of fillable carts and a storage and display unit, was designed by undergraduate students in a Furniture studio who explored, experimented, and researched various ways science materials and equipment are stored, collected, and displayed, for use in the current and future science and studio curricula at CCA. Sustainable practices and "smart design" underpinned all of the work completed in the studio. The materials selected for the new Science Collection at CCA include environmental monitoring equipment and test kits, a weather station, a stream table, a rock and fossil collection, and a vertebrate skull collection. The SitS courses and MUSE system

  9. Exploring what stabilizes teachers' attention and responsiveness to the substance of students' scientific thinking in the classroom

    NASA Astrophysics Data System (ADS)

    Richards, Jennifer

    Teachers' attention and responsiveness to the substance of students' disciplinary thinking is critical for promoting students' disciplinary engagement and learning, yet such attention is rare and fleeting in American classrooms. In this dissertation, I aim to learn more from teachers who do attend and respond to students' scientific ideas while teaching. I explore the classroom practices of three focal teachers in a professional development program who consistently place students' ideas at the core of their instruction with an eye toward the following research question: What might stabilize teachers' attention and responsiveness to the substance of students' scientific thinking during sustained classroom episodes? Examining three episodes from each teacher, I identify aspects within these episodes that are salient to the teachers and plausibly interrelated with their attention and responsiveness to student thinking. My primary data chapters include analyses of specific pairs of episodes that speak to my broader research question as well as other relevant topics in the literature on attending and responding to student thinking. The first data chapter makes the case that professional development efforts aimed at supporting responsiveness to student thinking primarily help teachers within planned discussions or progressions, but struggle to help teachers adapt their ongoing instruction in response to unexpected directions from students. I examine two episodes in which the discussions that emerged were not preplanned but rather emergent from students' contributions, with an eye toward what initiated and sustained teachers' responsiveness. The second data chapter contributes to discussions on what constitutes favorable change in attending and responding to the substance of student thinking, emphasizing the importance of disciplinary-specific considerations. Finally, I draw on the entire data set in noting specific commonalities within and across teachers, suggesting two

  10. Statistical Reference Datasets

    National Institute of Standards and Technology Data Gateway

    Statistical Reference Datasets (Web, free access)   The Statistical Reference Datasets is also supported by the Standard Reference Data Program. The purpose of this project is to improve the accuracy of statistical software by providing reference datasets with certified computational results that enable the objective evaluation of statistical software.

  11. Exploring learners' beliefs about science reading and scientific epistemic beliefs, and their relations with science text understanding

    NASA Astrophysics Data System (ADS)

    Yang, Fang-Ying; Chang, Cheng-Chieh; Chen, Li-Ling; Chen, Yi-Chun

    2016-07-01

    The main purpose of this study was to explore learners' beliefs about science reading and scientific epistemic beliefs, and how these beliefs were associating with their understanding of science texts. About 400 10th graders were involved in the development and validation of the Beliefs about Science Reading Inventory (BSRI). To find the effects of reader beliefs and epistemic beliefs, a new group of 65 10th grade students whose reader and epistemic beliefs were assessed by the newly developed BSRI and an existing SEB questionnaire were invited to take part in a science reading task. Students' text understanding in terms of concept gain and text interpretations was collected and analyzed. By the correlation analysis, it was found that when students had stronger beliefs about meaning construction based on personal goals and experiences (i.e. transaction beliefs), they produced more thematic and critical interpretations of the content of the test article. The regression analysis suggested that students SEBs could predict concept gain as a result of reading. Moreover, among all beliefs examined in the study, transaction beliefs stood out as the best predictor of overall science-text understanding.

  12. Fluxnet Synthesis Dataset Collaboration Infrastructure

    SciTech Connect

    Agarwal, Deborah A.; Humphrey, Marty; van Ingen, Catharine; Beekwilder, Norm; Goode, Monte; Jackson, Keith; Rodriguez, Matt; Weber, Robin

    2008-02-06

    The Fluxnet synthesis dataset originally compiled for the La Thuile workshop contained approximately 600 site years. Since the workshop, several additional site years have been added and the dataset now contains over 920 site years from over 240 sites. A data refresh update is expected to increase those numbers in the next few months. The ancillary data describing the sites continues to evolve as well. There are on the order of 120 site contacts and 60proposals have been approved to use thedata. These proposals involve around 120 researchers. The size and complexity of the dataset and collaboration has led to a new approach to providing access to the data and collaboration support and the support team attended the workshop and worked closely with the attendees and the Fluxnet project office to define the requirements for the support infrastructure. As a result of this effort, a new website (http://www.fluxdata.org) has been created to provide access to the Fluxnet synthesis dataset. This new web site is based on a scientific data server which enables browsing of the data on-line, data download, and version tracking. We leverage database and data analysis tools such as OLAP data cubes and web reports to enable browser and Excel pivot table access to the data.

  13. Exploring recent and projected climate change in a steep monsoonal catchment in the middle Himalaya through innovative synthesis of local observations, gridded datasets and community engagement

    NASA Astrophysics Data System (ADS)

    Forsythe, Nathan; Pritchard, Davis; Tiwari, Prakash; Fowler, Hayley; Kumaun, Bhagwati

    2016-04-01

    Under the auspices of an "Innovation Partnerships" programme research exchange grant jointly funded by the India Department of Science and Technology and the British Council, Kumaun University and Newcastle University have been collaboratively exploring the recorded historical and projected future climate change implications for a case study catchment, the Ramgad river, in the Kumaon Lesser Himalaya (Uttarakhand state, India). This work weaves together diverse research strands with the aim of producing a coherent thorough characterisation of the impacts of recent/on-going and likely climate evolution on local communities. Participatory research activities in multiple villages in the case study catchment have yielded a consistent narrative of changes posed by the increasingly erratic monsoonal rainfall as well as upward displacement and replacement crops in their historical elevation ranges due to temperature change. Multi-decadal climate records from both local observations and global meteorological records reveal a more complex picture with strong seasonal asymmetry of changes in both temperature and precipitation: a) trend analysis shows mild weakening of the early phase (May, July) but strengthen in the later stages (August, September); b) temperature trends show much stronger warming in late winter and early spring (February to April) than the rest of the year with additional asymmetry in both sign and magnitude of change between individual components (Tmax, Tmin) of the diurnal temperature cycle. On-going research seeks to associate this asymmetry with causal mechanisms (cloud radiative effect, atmospheric circulation). Analysis of historical records will provide the basis for validation and assessment of individual regional climate model projections from the CORDEX South Asia domain ensemble. For the terraced agricultural communities of the Kumaon Himalaya, the most directly consequential effects of climate variability and change are impacts on crop yields

  14. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.

    1997-01-01

    This summary of international nonfuel mineral exploration activities for 1996 uses available data from literature, industry, and US Geological Survey (USGS) specialists. Data on exploration budgets by region and commodity are reported, significant mineral discoveries and exploration target areas are identified and government programs affecting the mineral exploration industry are discussed. Inferences and observations on minerals industry direction are drawn from these data.

  15. What the devil is in your phytomedicine? Exploring species substitution in Harpagophytum through chemometric modeling of 1H-NMR and UHPLC-MS datasets.

    PubMed

    Mncwangi, Nontobeko P; Viljoen, Alvaro M; Zhao, Jianping; Vermaak, Ilze; Chen, Wei; Khan, Ikhlas

    2014-10-01

    Harpagophytum procumbens (Pedaliaceae) and its close taxonomical ally Harpagophytum zeyheri, indigenous to southern Africa, are being harvested for exportation to Europe where phytomedicines are developed to treat inflammation-related disorders. The phytochemical variation within and between natural populations of H. procumbens (n=241) and H. zeyheri (n=107) was explored using proton nuclear magnetic resonance ((1)H-NMR) and ultra-high performance liquid chromatography coupled to mass spectrometry (UHPLC-MS) in combination with multivariate data analysis methods. The UHPLC-MS results revealed significant variation in the harpagoside content: H. procumbens (0.17-4.37%); H. zeyheri (0.00-3.07%). Only 41% of the H. procumbens samples and 17% of the H. zeyheri samples met the pharmacopoeial specification of ⩾1.2%. Both principal component analysis (PCA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA) indicated separation based on species (UHPLC-MS data OPLS-DA model statistics: R(2)X=0.258, R(2)Y (cum)=0.957 and Q(2)(cum)=0.934; (1)H-NMR data OPLS-DA model statistics: R(2)X=0.830, R(2)Y=0.865 (cum) and Q(2)(cum)=0.829). It was concluded that two species are not chemically equivalent and should not be used interchangeably.

  16. Exploring Impacts of Taxes and Hospitality Bans on Cigarette Prices and Smoking Prevalence Using a Large Dataset of Cigarette Prices at Stores 2001–2011, USA

    PubMed Central

    Ballester, Lance S.; Auchincloss, Amy H.; Robinson, Lucy F.; Mayne, Stephanie L.

    2017-01-01

    In the USA, little is known about local variation in retail cigarette prices; price variation explained by taxes, bans, and area-level socio-demographics, and whether taxes and hospitality bans have synergistic effects on smoking prevalence. Cigarette prices 2001–2011 from chain supermarkets and drug stores (n = 2973) were linked to state taxes (n = 41), state and county bar/restaurant smoking bans, and census block group socio-demographics. Hierarchical models explored effects of taxes and bans on retail cigarette prices as well as county smoking prevalence (daily, non-daily). There was wide variation in store-level cigarette prices in part due to differences in state excise taxes. Excise taxes were only partially passed onto consumers (after adjustment, $1 tax associated with $0.90 increase in price, p < 0.0001) and the pass-through was slightly higher in areas that had bans but did not differ by area-level socio-demographics. Bans were associated with a slight increase in cigarette price (after adjustment, $0.09 per-pack, p < 0.0001). Taxes and bans were associated with reduction in smoking prevalence and taxes had a stronger association when combined with bans, suggesting a synergistic effect. Given wide variation in store-level prices, and uneven state/county implementation of taxes and bans, more federal policies should be considered. PMID:28335533

  17. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.

    2001-01-01

    Part of an annual review of mines and mineral resources in the U.S. An overview of nonfuel-mineral exploration in 2000 is presented. Principal exploration target was gold exploration in Latin America, Australia, and the U.S. There was a decrease of 18 percent in the exploration budget for gold as compared with the budget for 1999. Statistical information on nonfuel-mineral exploration worldwide is presented, analyzed, and interpreted.

  18. Exploring the Potential of Using Stories about Diverse Scientists and Reflective Activities to Enrich Primary Students' Images of Scientists and Scientific Work

    ERIC Educational Resources Information Center

    Sharkawy, Azza

    2012-01-01

    The purpose of this qualitative study was to explore the potential of using stories about diverse scientists to broaden primary students' images of scientists and scientific work. Stories featuring scientists from diverse socio-cultural backgrounds (i.e., physical ability, gender, ethnicity) were presented to 11 grade one students over a 15-week…

  19. Where Do the Sand-Dust Storms Come From?: Conversations with Specialists from the Exploring Sand-Dust Storms Scientific Expedition Team

    ERIC Educational Resources Information Center

    Shixin, Liu

    2004-01-01

    This article relates the different views from specialists of the scientific expedition team for the exploration of the origin of sand-dust storms. They observed and examined on-site the ecological environment of places of origin for sand-dust storms, and tried to find out causes of sand-dust storm and what harm it can cause in the hope of…

  20. Dataset Lifecycle Policy

    NASA Technical Reports Server (NTRS)

    Armstrong, Edward; Tauer, Eric

    2013-01-01

    The presentation focused on describing a new dataset lifecycle policy that the NASA Physical Oceanography DAAC (PO.DAAC) has implemented for its new and current datasets to foster improved stewardship and consistency across its archive. The overarching goal is to implement this dataset lifecycle policy for all new GHRSST GDS2 datasets and bridge the mission statements from the GHRSST Project Office and PO.DAAC to provide the best quality SST data in a cost-effective, efficient manner, preserving its integrity so that it will be available and usable to a wide audience.

  1. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.

    1998-01-01

    This summary of international nonfuel mineral exploration activities for 1997 draws upon available data from literature, industry and US Geological Sulvey (USGS) specialists. Data on exploration budgets by region and commodity are reported, significant mineral discoveries and exploration target areas are identified and government programs affecting the mineral exploration industry are discussed. Inferences and observations on mineral industry direction are drawn from these data and discussions.

  2. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.

    2000-01-01

    This summary of international nonfuel mineral exploration activities for 1999 draws upon available data from literature, industry and US Geological Survey (USGS) specialists. The report documents data on exploration budgets by region and commodity and identifies significant mineral discoveries and exploration target areas. It also discusses government programs affecting the mineral exploration industry. And it presents inferences and observations on mineral industry direction based on these data and discussions.

  3. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.; Porter, K.E.

    1999-01-01

    This summary of international nonfuel mineral exploration activities for 1998 draws on available data from literature, industry and US Geological Survey (USGS) specialists. Data on exploration budgets by region and commodity are reported, significant mineral discoveries and exploration target areas are identified and government programs affecting the mineral exploration industry are discussed. Inferences and observations on mineral industry direction are drawn from these data and discussions.

  4. Fixing Dataset Search

    NASA Technical Reports Server (NTRS)

    Lynnes, Chris

    2014-01-01

    Three current search engines are queried for ozone data at the GES DISC. The results range from sub-optimal to counter-intuitive. We propose a method to fix dataset search by implementing a robust relevancy ranking scheme. The relevancy ranking scheme is based on several heuristics culled from more than 20 years of helping users select datasets.

  5. Preparing Precipitation Data Access, Value-added Services and Scientific Exploration Tools for the Integrated Multi-satellitE Retrievals for GPM (IMERG)

    NASA Astrophysics Data System (ADS)

    Ostrenga, D.; Liu, Z.; Kempler, S. J.; Vollmer, B.; Teng, W. L.

    2013-12-01

    The Precipitation Data and Information Services Center (PDISC) (http://disc.gsfc.nasa.gov/precipitation or google: NASA PDISC), located at the NASA Goddard Space Flight Center (GSFC) Earth Sciences (GES) Data and Information Services Center (DISC), is home of the Tropical Rainfall Measuring Mission (TRMM) data archive. For over 15 years, the GES DISC has served not only TRMM, but also other space-based, airborne-based, field campaign and ground-based precipitation data products to the precipitation community and other disciplinary communities as well. The TRMM Multi-Satellite Precipitation Analysis (TMPA) products are the most popular products in the TRMM product family in terms of data download and access through Mirador, the GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure (Giovanni) and other services. The next generation of TMPA, the Integrated Multi-satellitE Retrievals for GPM (IMERG) to be released in 2014 after the launch of GPM, will be significantly improved in terms of spatial and temporal resolutions. To better serve the user community, we are preparing data services and samples are listed below. To enable scientific exploration of Earth science data products without going through complicated and often time consuming processes, such as data downloading, data processing, etc., the GES DISC has developed Giovanni in consultation with members of the user community, requesting quick search, subset, analysis and display capabilities for their specific data of interest. For example, the TRMM Online Visualization and Analysis System (TOVAS, http://disc2.nascom.nasa.gov/Giovanni/tovas/) has proven extremely popular, especially as additional datasets have been added upon request. Giovanni will continue to evolve to accommodate GPM data and the multi-sensor data inter-comparisons that will be sure to follow. Additional PDISC tool and service capabilities being adapted for GPM data include: An on-line PDISC Portal (includes user guide, etc

  6. Scientific results and lessons learned from an integrated crewed Mars exploration simulation at the Rio Tinto Mars analogue site

    NASA Astrophysics Data System (ADS)

    Orgel, Csilla; Kereszturi, Ákos; Váczi, Tamás; Groemer, Gernot; Sattler, Birgit

    2014-02-01

    Between 15 and 25 April 2011 in the framework of the PolAres programme of the Austrian Space Forum, a five-day field test of the Aouda.X spacesuit simulator was conducted at the Rio Tinto Mars-analogue site in southern Spain. The field crew was supported by a full-scale Mission Control Center (MCC) in Innsbruck, Austria. The field telemetry data were relayed to the MCC, enabling a Remote Science Support (RSS) team to study field data in near-real-time and adjust the flight planning in a flexible manner. We report on the experiences in the field of robotics, geophysics (Ground Penetrating Radar) and geology as well as life sciences in a simulated spaceflight operational environment. Extravehicular Activity (EVA) maps had been prepared using Google Earth and aerial images. The Rio Tinto mining area offers an excellent location for Mars analogue simulations. It is recognised as a terrestrial Mars analogue site because of the presence of jarosite and related sulphates, which have been identified by the NASA Mars Exploration Rover "Opportunity" in the El Capitan region of Meridiani Planum on Mars. The acidic, high ferric-sulphate content water of Rio Tinto is also considered as a possible analogue in astrobiology regarding the analysis of ferric sulphate related biochemical pathways and produced biomarkers. During our Mars simulation, 18 different types of soil and rock samples were collected by the spacesuit tester. The Raman results confirm the presence of minerals expected, such as jarosite, different Fe oxides and oxi-hydroxides, pyrite and complex Mg and Ca sulphates. Eight science experiments were conducted in the field. In this contribution first we list the important findings during the management and realisation of tests, and also a first summary of the scientific results. Based on these experiences suggestions for future analogue work are also summarised. We finish with recommendations for future field missions, including the preparation of the experiments

  7. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.

    2005-01-01

    The worldwide budget for nonferrous, nonfuel mineral exploration was expected to increase by 58 percent in 2004 from the 2003 budget, according to Metals Economics Group (MEG) of Halifax, Nova Scotia. The increase comes two years after a five-year period of declining spending for mineral exploration (1998 to 2002). Figures suggest a subsequent 27 percent increase in budgeted expenditures from 2002 to 2003. For the second consecutive year, all regional exploration budget estimates were anticipated to increase.

  8. The garden as a laboratory: the role of domestic gardens as places of scientific exploration in the long 18th century.

    PubMed

    Hickman, Clare

    2014-06-01

    Eighteenth-century gardens have traditionally been viewed as spaces designed for leisure, and as representations of political status, power and taste. In contrast, this paper will explore the concept that gardens in this period could be seen as dynamic spaces where scientific experiment and medical practice could occur. Two examples have been explored in the pilot study which has led to this paper - the designed landscapes associated with John Hunter's Earl's Court residence, in London, and the garden at Edward Jenner's house in Berkeley, Gloucestershire. Garden history methodologies have been implemented in order to consider the extent to which these domestic gardens can be viewed as experimental spaces.

  9. Exploration

    USGS Publications Warehouse

    Wilburn, D.R.

    2002-01-01

    Exploration budgets fell for a fourth successive year in 2001. These decreases reflected low mineral commodity prices, mineral-market investment reluctance, company failures and a continued trend of company mergers and takeovers.

  10. Exploring How Research Experiences for Teachers Changes Their Understandings of the Nature of Science and Scientific Inquiry

    ERIC Educational Resources Information Center

    Buxner, Sanlyn R.

    2014-01-01

    The nature of science is a prevalent theme across United States national science education standards and frameworks as well as other documents that guide formal and informal science education reform. To support teachers in engaging their students in authentic scientific practices and reformed teaching strategies, research experiences for teachers…

  11. Student-Centered Use of Case Studies Incorporating Oral and Writing Skills to Explore Scientific Ethical Misconduct

    ERIC Educational Resources Information Center

    Montes, Ingrid; Padilla, Adriana; Maldonado, Atenaida; Negretti, Solymar

    2009-01-01

    For many years, ethical misconduct has been long endured and difficult to address in the scientific community. To educate students about ethical misconduct in science, case studies were used in an ethics discussion board for a class group project. The objectives aimed to (i) familiarize students with the term "ethical misconduct", particularly in…

  12. Elementary School Students' Emotions When Exploring an Authentic Socio-Scientific Issue through the Use of Models

    ERIC Educational Resources Information Center

    Nicolaou, Chr. Th.; Evagorou, M.; Lymbouridou, Chr.

    2015-01-01

    Despite the belief that emotions are important in the learning process, research in the area of emotions and learning, especially in science, is scant. Modelling and SSI argumentation have shared with respect to the emphasis in recent science standards reports as core scientific practices that need to be part of science teaching and learning. Even…

  13. National land cover dataset

    USGS Publications Warehouse

    ,

    2000-01-01

    The U.S. Geological Survey (USGS), in cooperation with the U.S. Environmental Protection Agency, has produced a land cover dataset for the conterminous United States on the basis of 1992 Landsat thematic mapper imagery and supplemental data. The National Land Cover Dataset (NLCD) is a component of the USGS Land Cover Characterization Program. The seamless NLCD contains 21 categories of land cover information suitable for a variety of State and regional applications, including landscape analysis, land management, and modeling nutrient and pesticide runoff. The NLCD is distributed by State as 30-meter resolution raster images in an Albers Equal-Area map projection.

  14. Decibel: The Relational Dataset Branching System

    PubMed Central

    Maddox, Michael; Goehring, David; Elmore, Aaron J.; Madden, Samuel; Parameswaran, Aditya; Deshpande, Amol

    2017-01-01

    As scientific endeavors and data analysis become increasingly collaborative, there is a need for data management systems that natively support the versioning or branching of datasets to enable concurrent analysis, cleaning, integration, manipulation, or curation of data across teams of individuals. Common practice for sharing and collaborating on datasets involves creating or storing multiple copies of the dataset, one for each stage of analysis, with no provenance information tracking the relationships between these datasets. This results not only in wasted storage, but also makes it challenging to track and integrate modifications made by different users to the same dataset. In this paper, we introduce the Relational Dataset Branching System, Decibel, a new relational storage system with built-in version control designed to address these shortcomings. We present our initial design for Decibel and provide a thorough evaluation of three versioned storage engine designs that focus on efficient query processing with minimal storage overhead. We also develop an exhaustive benchmark to enable the rigorous testing of these and future versioned storage engine designs. PMID:28149668

  15. Sustainable Ammonia Synthesis – Exploring the scientific challenges associated with discovering alternative, sustainable processes for ammonia production

    SciTech Connect

    Nørskov, Jens; Chen, Jingguang; Miranda, Raul; Fitzsimmons, Tim; Stack, Robert

    2016-02-18

    Ammonia (NH3) is essential to all life on our planet. Until about 100 years ago, NH3 produced by reduction of dinitrogen (N2) in air came almost exclusively from bacteria containing the enzyme nitrogenase.. DOE convened a roundtable of experts on February 18, 2016. Participants in the Roundtable discussions concluded that the scientific basis for sustainable processes for ammonia synthesis is currently lacking, and it needs to be enhanced substantially before it can form the foundation for alternative processes. The Roundtable Panel identified an overarching grand challenge and several additional scientific grand challenges and research opportunities: -Discovery of active, selective, scalable, long-lived catalysts for sustainable ammonia synthesis. -Development of relatively low pressure (<10 atm) and relatively low temperature (<200 C) thermal processes. -Integration of knowledge from nature (enzyme catalysis), molecular/homogeneous and heterogeneous catalysis. -Development of electrochemical and photochemical routes for N2 reduction based on proton and electron transfer -Development of biochemical routes to N2 reduction -Development of chemical looping (solar thermochemical) approaches -Identification of descriptors of catalytic activity using a combination of theory and experiments -Characterization of surface adsorbates and catalyst structures (chemical, physical and electronic) under conditions relevant to ammonia synthesis.

  16. Changes in orthodontic treatment modalities in the past 20 years: exploring the link between technology and scientific evidence.

    PubMed

    Bradley, T Gerard

    2013-01-01

    STATEMENT OF THE ISSUE: Is there a link between the many perceived advances in orthodontic techniques/therapy and science in the past 20 years? The purpose of this paper is to take five topics and match the perceptions with the scientific evidence. The variety of appliances and the swings in treatment philosophy have been dramatic, including the swing from extraction to non-extraction therapy, the introduction of space-age wires, appliances that grow mandibles, the introduction and extraordinary growth of Invisalign, and reduced friction brackets to reduce treatment time, all with claims by manufacturers of better results than ever before. The focus is on faster treatment, reduced visits/appointments and superior results. Most of these 'advancements' represent what has been the 'juggernaut of technology'. Five questions are posed, and an evidence-based approach is used to critically examine the literature in these selected topics.

  17. The garden as a laboratory: the role of domestic gardens as places of scientific exploration in the long 18th century

    PubMed Central

    HICKMAN, CLARE

    2014-01-01

    Eighteenth-century gardens have traditionally been viewed as spaces designed for leisure, and as representations of political status, power and taste. In contrast, this paper will explore the concept that gardens in this period could be seen as dynamic spaces where scientific experiment and medical practice could occur. Two examples have been explored in the pilot study which has led to this paper — the designed landscapes associated with John Hunter’s Earl’s Court residence, in London, and the garden at Edward Jenner’s house in Berkeley, Gloucestershire. Garden history methodologies have been implemented in order to consider the extent to which these domestic gardens can be viewed as experimental spaces. PMID:26052165

  18. Spatial Evolution of Openstreetmap Dataset in Turkey

    NASA Astrophysics Data System (ADS)

    Zia, M.; Seker, D. Z.; Cakir, Z.

    2016-10-01

    Large amount of research work has already been done regarding many aspects of OpenStreetMap (OSM) dataset in recent years for developed countries and major world cities. On the other hand, limited work is present in scientific literature for developing or underdeveloped ones, because of poor data coverage. In presented study it has been demonstrated how Turkey-OSM dataset has spatially evolved in an 8 year time span (2007-2015) throughout the country. It is observed that there is an east-west spatial biasedness in OSM features density across the country. Population density and literacy level are found to be the two main governing factors controlling this spatial trend. Future research paradigms may involve considering contributors involvement and commenting about dataset health.

  19. Automatic processing of multimodal tomography datasets.

    PubMed

    Parsons, Aaron D; Price, Stephen W T; Wadeson, Nicola; Basham, Mark; Beale, Andrew M; Ashton, Alun W; Mosselmans, J Frederick W; Quinn, Paul D

    2017-01-01

    With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source.

  20. Automatic processing of multimodal tomography datasets

    PubMed Central

    Parsons, Aaron D.; Price, Stephen W. T.; Wadeson, Nicola; Basham, Mark; Beale, Andrew M.; Ashton, Alun W.; Mosselmans, J. Frederick. W.; Quinn, Paul. D.

    2017-01-01

    With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source. PMID:28009564

  1. Data Integration for Heterogenous Datasets

    PubMed Central

    2014-01-01

    Abstract More and more, the needs of data analysts are requiring the use of data outside the control of their own organizations. The increasing amount of data available on the Web, the new technologies for linking data across datasets, and the increasing need to integrate structured and unstructured data are all driving this trend. In this article, we provide a technical overview of the emerging “broad data” area, in which the variety of heterogeneous data being used, rather than the scale of the data being analyzed, is the limiting factor in data analysis efforts. The article explores some of the emerging themes in data discovery, data integration, linked data, and the combination of structured and unstructured data. PMID:25553272

  2. The National Hydrography Dataset

    USGS Publications Warehouse

    ,

    1999-01-01

    The National Hydrography Dataset (NHD) is a newly combined dataset that provides hydrographic data for the United States. The NHD is the culmination of recent cooperative efforts of the U.S. Environmental Protection Agency (USEPA) and the U.S. Geological Survey (USGS). It combines elements of USGS digital line graph (DLG) hydrography files and the USEPA Reach File (RF3). The NHD supersedes RF3 and DLG files by incorporating them, not by replacing them. Users of RF3 or DLG files will find the same data in a new, more flexible format. They will find that the NHD is familiar but greatly expanded and refined. The DLG files contribute a national coverage of millions of features, including water bodies such as lakes and ponds, linear water features such as streams and rivers, and also point features such as springs and wells. These files provide standardized feature types, delineation, and spatial accuracy. From RF3, the NHD acquires hydrographic sequencing, upstream and downstream navigation for modeling applications, and reach codes. The reach codes provide a way to integrate data from organizations at all levels by linking the data to this nationally consistent hydrographic network. The feature names are from the Geographic Names Information System (GNIS). The NHD provides comprehensive coverage of hydrographic data for the United States. Some of the anticipated end-user applications of the NHD are multiuse hydrographic modeling and water-quality studies of fish habitats. Although based on 1:100,000-scale data, the NHD is planned so that it can incorporate and encourage the development of the higher resolution data that many users require. The NHD can be used to promote the exchange of data between users at the national, State, and local levels. Many users will benefit from the NHD and will want to contribute to the dataset as well.

  3. The 3D widgets for exploratory scientific visualization

    NASA Technical Reports Server (NTRS)

    Herndon, Kenneth P.; Meyer, Tom

    1995-01-01

    Computational fluid dynamics (CFD) techniques are used to simulate flows of fluids like air or water around such objects as airplanes and automobiles. These techniques usually generate very large amounts of numerical data which are difficult to understand without using graphical scientific visualization techniques. There are a number of commercial scientific visualization applications available today which allow scientists to control visualization tools via textual and/or 2D user interfaces. However, these user interfaces are often difficult to use. We believe that 3D direct-manipulation techniques for interactively controlling visualization tools will provide opportunities for powerful and useful interfaces with which scientists can more effectively explore their datasets. A few systems have been developed which use these techniques. In this paper, we will present a variety of 3D interaction techniques for manipulating parameters of visualization tools used to explore CFD datasets, and discuss in detail various techniques for positioning tools in a 3D scene.

  4. The Path from Large Earth Science Datasets to Information

    NASA Astrophysics Data System (ADS)

    Vicente, G. A.

    2013-12-01

    The NASA Goddard Earth Sciences Data (GES) and Information Services Center (DISC) is one of the major Science Mission Directorate (SMD) for archiving and distribution of Earth Science remote sensing data, products and services. This virtual portal provides convenient access to Atmospheric Composition and Dynamics, Hydrology, Precipitation, Ozone, and model derived datasets (generated by GSFC's Global Modeling and Assimilation Office), the North American Land Data Assimilation System (NLDAS) and the Global Land Data Assimilation System (GLDAS) data products (both generated by GSFC's Hydrological Sciences Branch). This presentation demonstrates various tools and computational technologies developed in the GES DISC to manage the huge volume of data and products acquired from various missions and programs over the years. It explores approaches to archive, document, distribute, access and analyze Earth Science data and information as well as addresses the technical and scientific issues, governance and user support problem faced by scientists in need of multi-disciplinary datasets. It also discusses data and product metrics, user distribution profiles and lessons learned through interactions with the science communities around the world. Finally it demonstrates some of the most used data and product visualization and analyses tools developed and maintained by the GES DISC.

  5. Publicly Releasing a Large Simulation Dataset with NDS Labs

    NASA Astrophysics Data System (ADS)

    Goldbaum, Nathan

    2016-03-01

    Optimally, all publicly funded research should be accompanied by the tools, code, and data necessary to fully reproduce the analysis performed in journal articles describing the research. This ideal can be difficult to attain, particularly when dealing with large (>10 TB) simulation datasets. In this lightning talk, we describe the process of publicly releasing a large simulation dataset to accompany the submission of a journal article. The simulation was performed using Enzo, an open source, community-developed N-body/hydrodynamics code and was analyzed using a wide range of community- developed tools in the scientific Python ecosystem. Although the simulation was performed and analyzed using an ecosystem of sustainably developed tools, we enable sustainable science using our data by making it publicly available. Combining the data release with the NDS Labs infrastructure allows a substantial amount of added value, including web-based access to analysis and visualization using the yt analysis package through an IPython notebook interface. In addition, we are able to accompany the paper submission to the arXiv preprint server with links to the raw simulation data as well as interactive real-time data visualizations that readers can explore on their own or share with colleagues during journal club discussions. It is our hope that the value added by these services will substantially increase the impact and readership of the paper.

  6. Genomics dataset of unidentified disclosed isolates.

    PubMed

    Rekadwad, Bhagwan N

    2016-09-01

    Analysis of DNA sequences is necessary for higher hierarchical classification of the organisms. It gives clues about the characteristics of organisms and their taxonomic position. This dataset is chosen to find complexities in the unidentified DNA in the disclosed patents. A total of 17 unidentified DNA sequences were thoroughly analyzed. The quick response codes were generated. AT/GC content of the DNA sequences analysis was carried out. The QR is helpful for quick identification of isolates. AT/GC content is helpful for studying their stability at different temperatures. Additionally, a dataset on cleavage code and enzyme code studied under the restriction digestion study, which helpful for performing studies using short DNA sequences was reported. The dataset disclosed here is the new revelatory data for exploration of unique DNA sequences for evaluation, identification, comparison and analysis.

  7. QTLMAS 2009: simulated dataset

    PubMed Central

    2010-01-01

    Background The simulation of the data for the QTLMAS 2009 Workshop is described. Objective was to simulate observations from a growth curve which was influenced by a number of QTL. Results The data consisted of markers, phenotypes and pedigree. Genotypes of 453 markers, distributed over 5 chromosomes of 1 Morgan each, were simulated for 2,025 individuals. From those, 25 individuals were parents of the other 2,000 individuals. The 25 parents were genetically related. Phenotypes were simulated according to a logistic growth curve and were made available for 1,000 of the 2,000 offspring individuals. The logistic growth curve was specified by three parameters. Each parameter was influenced by six Quantitative Trait Loci (QTL), positioned at the five chromosomes. For each parameter, one QTL had a large effect and five QTL had small effects. Variance of large QTL was five times the variance of small QTL. Simulated data was made available at http://www.qtlmas2009.wur.nl/UK/Dataset/. PMID:20380757

  8. National Elevation Dataset

    USGS Publications Warehouse

    ,

    2002-01-01

    The National Elevation Dataset (NED) is a new raster product assembled by the U.S. Geological Survey. NED is designed to provide National elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections were made in the NED assembly process to minimize artifacts, perform edge matching, and fill sliver areas of missing data. NED has a resolution of one arc-second (approximately 30 meters) for the conterminous United States, Hawaii, Puerto Rico and the island territories and a resolution of two arc-seconds for Alaska. NED data sources have a variety of elevation units, horizontal datums, and map projections. In the NED assembly process the elevation values are converted to decimal meters as a consistent unit of measure, NAD83 is consistently used as horizontal datum, and all the data are recast in a geographic projection. Older DEM's produced by methods that are now obsolete have been filtered during the NED assembly process to minimize artifacts that are commonly found in data produced by these methods. Artifact removal greatly improves the quality of the slope, shaded-relief, and synthetic drainage information that can be derived from the elevation data. Figure 2 illustrates the results of this artifact removal filtering. NED processing also includes steps to adjust values where adjacent DEM's do not match well, and to fill sliver areas of missing data between DEM's. These processing steps ensure that NED has no void areas and artificial discontinuities have been minimized. The artifact removal filtering process does not eliminate all of the artifacts. In areas where the only available DEM is produced by older methods, then "striping" may still occur.

  9. U.S. Geological Survey Scientific Activities in the Exploration of Antarctica: Introduction to Antarctica (Including USGS Field Personnel: 1946-59)

    USGS Publications Warehouse

    Tony K. Meunier Edited by Williams, Richard S.; Ferrigno, Jane G.

    2007-01-01

    3) significant changes that have occurred in Antarctic exploration and research since World War II will be discussed at the end of this report. Subsequent Open-File Reports will provide a year-by-year documentation of USGS scientific activities and accomplishments in Antarctica beginning with the post-IGY, 1959-60 research team. One Open-File Report is planned to be written for each field-based season. For an example of the series format, see Open-File Reports 2006-1113 (Meunier, 2007a) and 2006-1114 (Meunier, 2007b). This report is a companion document to Open-File Report 2006-1116 (Meunier, 2007c). The USGS mapping and science programs in Antarctica are among the longest continuously funded projects in the United States Antarctic Program (USAP). The 2005-06 field season is the 56th consecutive U.S. expedition in which USGS scientists have been participants, starting in 1946. USGS and the National Science Foundation (NSF) cooperation began with the establishment by NSF of the U.S. Antarctic (Research) Program [USA(R)P] in 1958-59 under Operation Deep Freeze IV (DF IV) and was given the responsibility for the principal coordination and management of all U.S. scientific activities in Antarctica in Deep Freeze 60 (DF 60) (1959-60). Financial support from NSF, mostly in the form of Memorandum of Understandings (MOUs) and Cooperative Agreements, extends back to this period and can be attributed to the need for accurate geologic, geophysical, and topographic base maps of specific field areas or regions where NSF-funded science projects were planned. The epoch of Antarctic exploration during the IGY was driven by science and, in a spirit of peaceful cooperation, the international scientific community wanted to limit military activities on the continent to logistical support (Meunier, 1979 [2007], p. 38). The USGS, a Federal civilian science agency in the Department of the Interior, has, since its founding in 1879, carried out numerous field-based national (and some

  10. Magic Termites: Exploring Scientific Inquiry

    ERIC Educational Resources Information Center

    Callis, Kristine; Henkel, Melissa; Lund, Rachael

    2010-01-01

    The objective of the termite experiment is to walk students through the process of designing and conducting an experiment while allowing them to use inquiry-based methods to infer why, in this lab, termites follow the line of blue Bic or Paper Mate brand ballpoint pens. This experiment also reinforces the concept of observation versus inference…

  11. Exploring scientifically proven herbal aphrodisiacs

    PubMed Central

    Kotta, Sabna; Ansari, Shahid H.; Ali, Javed

    2013-01-01

    Procreation was an important moral and religious issue and aphrodisiacs were sought to ensure both male and female potency. Sexual dysfunction is an inability to achieve a normal sexual intercourse, including premature ejaculation, retrograded, retarded or inhibited ejaculation, erectile dysfunction, arousal difficulties (reduced libido), compulsive sexual behavior, orgasmic disorder, and failure of detumescence. The introduction of the first pharmacologically approved remedy for impotence, Viagra (sildenafil) in 1990s caused a wave of public attention, propelled in part by heavy advertising. The search for such substances dates back millennia. An aphrodisiac is an agent (food or drug) that arouses sexual desire. The hunt for natural supplement from medicinal plants is being intensified mainly because of its fewer side effects. In this review, we have mentioned the pharmacologically tested (either in man or animal or in both) aphrodisiac plants, which have claimed for its uses. PMID:23922450

  12. Exploring scientifically proven herbal aphrodisiacs.

    PubMed

    Kotta, Sabna; Ansari, Shahid H; Ali, Javed

    2013-01-01

    Procreation was an important moral and religious issue and aphrodisiacs were sought to ensure both male and female potency. Sexual dysfunction is an inability to achieve a normal sexual intercourse, including premature ejaculation, retrograded, retarded or inhibited ejaculation, erectile dysfunction, arousal difficulties (reduced libido), compulsive sexual behavior, orgasmic disorder, and failure of detumescence. The introduction of the first pharmacologically approved remedy for impotence, Viagra (sildenafil) in 1990s caused a wave of public attention, propelled in part by heavy advertising. The search for such substances dates back millennia. An aphrodisiac is an agent (food or drug) that arouses sexual desire. The hunt for natural supplement from medicinal plants is being intensified mainly because of its fewer side effects. In this review, we have mentioned the pharmacologically tested (either in man or animal or in both) aphrodisiac plants, which have claimed for its uses.

  13. Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

    PubMed Central

    Orchard, Garrick; Jayawant, Ajinkya; Cohen, Gregory K.; Thakor, Nitish

    2015-01-01

    Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labeling existing data. The task is further complicated by a desire to simultaneously provide traditional frame-based recordings to allow for direct comparison with traditional Computer Vision algorithms. Here we propose a method for converting existing Computer Vision static image datasets into Neuromorphic Vision datasets using an actuated pan-tilt camera platform. Moving the sensor rather than the scene or image is a more biologically realistic approach to sensing and eliminates timing artifacts introduced by monitor updates when simulating motion on a computer monitor. We present conversion of two popular image datasets (MNIST and Caltech101) which have played important roles in the development of Computer Vision, and we provide performance metrics on these datasets using spike-based recognition algorithms. This work contributes datasets for future use in the field, as well as results from spike-based algorithms against which future works can compare. Furthermore, by converting datasets already popular in Computer Vision, we enable more direct comparison with frame-based approaches. PMID:26635513

  14. A comprehensive dataset of genes with a loss-of-function mutant phenotype in Arabidopsis.

    PubMed

    Lloyd, Johnny; Meinke, David

    2012-03-01

    Despite the widespread use of Arabidopsis (Arabidopsis thaliana) as a model plant, a curated dataset of Arabidopsis genes with mutant phenotypes remains to be established. A preliminary list published nine years ago in Plant Physiology is outdated, and genome-wide phenotype information remains difficult to obtain. We describe here a comprehensive dataset of 2,400 genes with a loss-of-function mutant phenotype in Arabidopsis. Phenotype descriptions were gathered primarily from manual curation of the scientific literature. Genes were placed into prioritized groups (essential, morphological, cellular-biochemical, and conditional) based on the documented phenotypes of putative knockout alleles. Phenotype classes (e.g. vegetative, reproductive, and timing, for the morphological group) and subsets (e.g. flowering time, senescence, circadian rhythms, and miscellaneous, for the timing class) were also established. Gene identities were classified as confirmed (through molecular complementation or multiple alleles) or not confirmed. Relationships between mutant phenotype and protein function, genetic redundancy, protein connectivity, and subcellular protein localization were explored. A complementary dataset of 401 genes that exhibit a mutant phenotype only when disrupted in combination with a putative paralog was also compiled. The importance of these genes in confirming functional redundancy and enhancing the value of single gene datasets is discussed. With further input and curation from the Arabidopsis community, these datasets should help to address a variety of important biological questions, provide a foundation for exploring the relationship between genotype and phenotype in angiosperms, enhance the utility of Arabidopsis as a reference plant, and facilitate comparative studies with model genetic organisms.

  15. The plague of the Philistines and other pestilences in the Ancient World: exploring relations between the religious-literary tradition, artistic evidence and scientific proof.

    PubMed

    Sabbatani, Sergio; Fiorino, Sirio

    2010-09-01

    In ancient times the term pestilence referred not only to infectious disease caused by Yersinia pestis, but also to several different epidemics. We explore the relations between references in the Bible and recent scientific evidence concerning some infectious diseases, especially the so-called Plague of the Philistines and leprosy. In addition, some considerations regarding possible connections among likely infectious epidemic diseases and the Ten Plagues of Egypt are reported. Evidence suggesting the presence of the rat in the Nile Valley in the II millennium BC is shown; a possible role of the rat in the plague spreading already in this historical period should be confirmed by these data. While the biblical tale in the Book of Samuel may well report an epidemic event resembling the plague, as to date this infectious disease remains unknown, it is not conceivable to confirm the presence of leprosy in the same age, because the little palaeopathologic evidence of the latter disease, in the geographic area corresponding to Egypt and Palestine, is late, dating back only to the II century AD.

  16. Using a Constructed-Response Instrument to Explore the Effects of Item Position and Item Features on the Assessment of Students' Written Scientific Explanations

    NASA Astrophysics Data System (ADS)

    Federer, Meghan Rector; Nehm, Ross H.; Opfer, John E.; Pearl, Dennis

    2015-08-01

    A large body of work has been devoted to reducing assessment biases that distort inferences about students' science understanding, particularly in multiple-choice instruments (MCI). Constructed-response instruments (CRI), however, have invited much less scrutiny, perhaps because of their reputation for avoiding many of the documented biases of MCIs. In this study we explored whether known biases of MCIs—specifically item sequencing and surface feature effects—were also apparent in a CRI designed to assess students' understanding of evolutionary change using written explanation (Assessment of COntextual Reasoning about Natural Selection [ACORNS]). We used three versions of the ACORNS CRI to investigate different aspects of assessment structure and their corresponding effect on inferences about student understanding. Our results identified several sources of (and solutions to) assessment bias in this practice-focused CRI. First, along the instrument item sequence, items with similar surface features produced greater sequencing effects than sequences of items with dissimilar surface features. Second, a counterbalanced design (i.e., Latin Square) mitigated this bias at the population level of analysis. Third, ACORNS response scores were highly correlated with student verbosity, despite verbosity being an intrinsically trivial aspect of explanation quality. Our results suggest that as assessments in science education shift toward the measurement of scientific practices (e.g., explanation), it is critical that biases inherent in these types of assessments be investigated empirically.

  17. Historical Space Weather Datasets within NOAA

    NASA Astrophysics Data System (ADS)

    Denig, W. F.; Mabie, J. J.; Horan, K.; Clark, C.

    2013-12-01

    The National Geophysical Data Center (NGDC) is primarily responsible for scientific data stewardship of operational space weather data from NOAA's fleet of environmental satellites in geostationary and polar, low-earth orbits. In addition to this and as the former World Data Center for Solar Terrestrial Physics from 1957 to 2011 NGDC acquired a large variety of solar and space environmental data in differing formats including paper records and on film. Management of this heterogeneous collection of environmental data is a continued responsibility of NGDC as a participant in the new World Data System. Through the former NOAA Climate Data Modernization Program many of these records were converted to digital format and are readily available online. However, reduced funding and staff have put a strain on NGDC's ability to effectively steward these historical datasets, some of which are unique and, in particular cases, were the basis of fundamental scientific breakthroughs in our understanding of the near-earth space environment. In this talk, I will provide an overview of the historical space weather datasets which are currently managed by NGDC and discuss strategies for preserving these data during these fiscally stressing times.

  18. Providing Geographic Datasets as Linked Data in Sdi

    NASA Astrophysics Data System (ADS)

    Hietanen, E.; Lehto, L.; Latvala, P.

    2016-06-01

    In this study, a prototype service to provide data from Web Feature Service (WFS) as linked data is implemented. At first, persistent and unique Uniform Resource Identifiers (URI) are created to all spatial objects in the dataset. The objects are available from those URIs in Resource Description Framework (RDF) data format. Next, a Web Ontology Language (OWL) ontology is created to describe the dataset information content using the Open Geospatial Consortium's (OGC) GeoSPARQL vocabulary. The existing data model is modified in order to take into account the linked data principles. The implemented service produces an HTTP response dynamically. The data for the response is first fetched from existing WFS. Then the Geographic Markup Language (GML) format output of the WFS is transformed on-the-fly to the RDF format. Content Negotiation is used to serve the data in different RDF serialization formats. This solution facilitates the use of a dataset in different applications without replicating the whole dataset. In addition, individual spatial objects in the dataset can be referred with URIs. Furthermore, the needed information content of the objects can be easily extracted from the RDF serializations available from those URIs. A solution for linking data objects to the dataset URI is also introduced by using the Vocabulary of Interlinked Datasets (VoID). The dataset is divided to the subsets and each subset is given its persistent and unique URI. This enables the whole dataset to be explored with a web browser and all individual objects to be indexed by search engines.

  19. Genomic Datasets for Cancer Research

    Cancer.gov

    A variety of datasets from genome-wide association studies of cancer and other genotype-phenotype studies, including sequencing and molecular diagnostic assays, are available to approved investigators through the Extramural National Cancer Institute Data Access Committee.

  20. NHDPlus (National Hydrography Dataset Plus)

    EPA Pesticide Factsheets

    NHDPlus is a geospatial, hydrologic framework dataset that is intended for use by geospatial analysts and modelers to support water resources related applications. NHDPlus was developed by the USEPA in partnership with the US Geologic Survey

  1. Preliminary AirMSPI Datasets

    Atmospheric Science Data Center

    2016-12-06

    ... Preliminary AirMSPI Datasets   The data files available through this web page and ftp links are preliminary ... geometric corrections. Caution should be used for science analysis. At a later date, more qualified versions will be made public.   ...

  2. Exploring Verbal, Visual and Schematic Learners' Static and Dynamic Mental Images of Scientific Species and Processes in Relation to Their Spatial Ability

    ERIC Educational Resources Information Center

    Al-Balushi, Sulaiman M.; Coll, Richard Kevin

    2013-01-01

    The current study compared different learners' static and dynamic mental images of unseen scientific species and processes in relation to their spatial ability. Learners were classified into verbal, visual and schematic. Dynamic images were classified into: appearing/disappearing, linear-movement, and rotation. Two types of scientific entities and…

  3. Multivariate Visual Explanation for High Dimensional Datasets

    PubMed Central

    Barlowe, Scott; Zhang, Tianyi; Liu, Yujie; Yang, Jing; Jacobs, Donald

    2010-01-01

    Understanding multivariate relationships is an important task in multivariate data analysis. Unfortunately, existing multivariate visualization systems lose effectiveness when analyzing relationships among variables that span more than a few dimensions. We present a novel multivariate visual explanation approach that helps users interactively discover multivariate relationships among a large number of dimensions by integrating automatic numerical differentiation techniques and multidimensional visualization techniques. The result is an efficient workflow for multivariate analysis model construction, interactive dimension reduction, and multivariate knowledge discovery leveraging both automatic multivariate analysis and interactive multivariate data visual exploration. Case studies and a formal user study with a real dataset illustrate the effectiveness of this approach. PMID:20694164

  4. 77 FR 15052 - Dataset Workshop-U.S. Billion Dollar Disasters Dataset (1980-2011): Assessing Dataset Strengths...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-14

    ... (1980- 2011): Assessing Dataset Strengths and Weaknesses for a Pathway to an Improved Dataset AGENCY... meeting is to identify strengths and weaknesses of the current dataset and related methodology....

  5. Development of a Comprehensive Plan for Scientific Research, Exploration, and Design: Creation of an Undergroung Radioactive Waste Isloation Facility at the Nizhnekansky Rock Massif

    SciTech Connect

    Jardine, L J

    2005-06-15

    ISTC Partner Project No.2377, ''Development of a General Research and Survey Plan to Create an Underground RW Isolation Facility in Nizhnekansky Massif'', funded a group of key Russian experts in geologic disposal, primarily at Federal State Unitary Enterprise All-Russian Design and Research Institute of Engineering Production (VNIPIPT) and Mining Chemical Combine Krasnoyarsk-26 (MCC K-26) (Reference 1). The activities under the ISTC Partner Project were targeted to the creation of an underground research laboratory which was to justify the acceptability of the geologic conditions for ultimate isolation of high-level waste in Russia. In parallel to this project work was also under way with Minatom's financial support to characterize alternative sections of the Nizhnekansky granitoid rock massif near the MCC K-26 site to justify the possibility of creating an underground facility for long-term or ultimate isolation of radioactive waste (RW) and spent nuclear fuel (SNF). (Reference 2) The result was a synergistic, integrated set of activities several years that advanced the geologic repository site characterization and development of a proposed underground research laboratory better than could have been expected with only the limited funds from ISTC Partner Project No.2377 funded by the U.S. DOE-RW. There were four objectives of this ISTC Partner Project 2377 geologic disposal work: (1) Generalize and analyze all research work done previously at the Nizhnekansky granitoid massif by various organizations; (2) Prepare and issue a declaration of intent (DOI) for proceeding with an underground research laboratory in a granite massif near the MCC K-26 site. (The DOI is similar to a Record of Decision in U.S. terminology). (3) Proceeding from the data obtained as a result of scientific research and exploration and design activities, prepare a justification of investment (JOI) for an underground research laboratory in as much detail as the available site characterization

  6. The Harvard organic photovoltaic dataset.

    PubMed

    Lopez, Steven A; Pyzer-Knapp, Edward O; Simm, Gregor N; Lutzow, Trevor; Li, Kewei; Seress, Laszlo R; Hachmann, Johannes; Aspuru-Guzik, Alán

    2016-09-27

    The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of conformers, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries for organic electronic applications.

  7. The Harvard organic photovoltaic dataset

    NASA Astrophysics Data System (ADS)

    Lopez, Steven A.; Pyzer-Knapp, Edward O.; Simm, Gregor N.; Lutzow, Trevor; Li, Kewei; Seress, Laszlo R.; Hachmann, Johannes; Aspuru-Guzik, Alán

    2016-09-01

    The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of conformers, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries for organic electronic applications.

  8. The Harvard organic photovoltaic dataset

    PubMed Central

    Lopez, Steven A.; Pyzer-Knapp, Edward O.; Simm, Gregor N.; Lutzow, Trevor; Li, Kewei; Seress, Laszlo R.; Hachmann, Johannes; Aspuru-Guzik, Alán

    2016-01-01

    The Harvard Organic Photovoltaic Dataset (HOPV15) presented in this work is a collation of experimental photovoltaic data from the literature, and corresponding quantum-chemical calculations performed over a range of conformers, each with quantum chemical results using a variety of density functionals and basis sets. It is anticipated that this dataset will be of use in both relating electronic structure calculations to experimental observations through the generation of calibration schemes, as well as for the creation of new semi-empirical methods and the benchmarking of current and future model chemistries for organic electronic applications. PMID:27676312

  9. ADAM: automated data management for research datasets

    PubMed Central

    Woodbridge, Mark; Tomlinson, Christopher D.; Butcher, Sarah A.

    2013-01-01

    Existing repositories for experimental datasets typically capture snapshots of data acquired using a single experimental technique and often require manual population and continual curation. We present a storage system for heterogeneous research data that performs dynamic automated indexing to provide powerful search, discovery and collaboration features without the restrictions of a structured repository. ADAM is able to index many commonly used file formats generated by laboratory assays and therefore offers specific advantages to the experimental biology community. However, it is not domain specific and can promote sharing and re-use of working data across scientific disciplines. Availability and implementation: ADAM is implemented using Java and supported on Linux. It is open source under the GNU General Public License v3.0. Installation instructions, binary code, a demo system and virtual machine image and are available at http://www.imperial.ac.uk/bioinfsupport/resources/software/adam. Contact: m.woodbridge@imperial.ac.uk PMID:23109181

  10. Querying Large Biological Network Datasets

    ERIC Educational Resources Information Center

    Gulsoy, Gunhan

    2013-01-01

    New experimental methods has resulted in increasing amount of genetic interaction data to be generated every day. Biological networks are used to store genetic interaction data gathered. Increasing amount of data available requires fast large scale analysis methods. Therefore, we address the problem of querying large biological network datasets.…

  11. An evaluation of the global 1-km AVHRR land dataset

    USGS Publications Warehouse

    Teillet, P.M.; El Saleous, N.; Hansen, M.C.; Eidenshink, Jeffery C.; Justice, C.O.; Townshend, J.R.G.

    2000-01-01

    This paper summarizes the steps taken in the generation of the global 1-km AVHRR land dataset, and it documents an evaluation of the data product with respect to the original specifications and its usefulness in research and applications to date. The evaluation addresses data characterization, processing, compositing and handling issues. Examples of the main scientific outputs are presented and options for improved processing are outlined and prioritized. The dataset has made a significant contribution, and a strong recommendation is made for its reprocessing and continuation to produce a long-term record for global change research.

  12. Design of FastQuery: How to Generalize Indexing and Querying System for Scientific Data

    SciTech Connect

    Wu, Jerry; Wu, Kesheng

    2011-04-18

    Modern scientific datasets present numerous data management and analysis challenges. State-of-the-art index and query technologies such as FastBit are critical for facilitating interactive exploration of large datasets. These technologies rely on adding auxiliary information to existing datasets to accelerate query processing. To use these indices, we need to match the relational data model used by the indexing systems with the array data model used by most scientific data, and to provide an efficient input and output layer for reading and writing the indices. In this work, we present a flexible design that can be easily applied to most scientific data formats. We demonstrate this flexibility by applying it to two of the most commonly used scientific data formats, HDF5 and NetCDF. We present two case studies using simulation data from the particle accelerator and climate simulation communities. To demonstrate the effectiveness of the new design, we also present a detailed performance study using both synthetic and real scientific workloads.

  13. Exploring the Structural Relationships between High School Students' Scientific Epistemological Views and Their Utilization of Information Commitments toward Online Science Information

    ERIC Educational Resources Information Center

    Lin, Chia-Ching; Tsai, Chin-Chung

    2008-01-01

    The main purpose of this study was to examine the structural relationships between scientific epistemological views (SEVs) and information commitments (ICs) of high school students in Taiwan. Data were collected from 486 Taiwanese high school students via two self-reporting instruments: one was the SEV questionnaire, including five scales for…

  14. Using Exoplanet Models to Explore NGSS and the Nature of Science and as a Tool for Understanding the Scientific Results from NIRCam/JWST

    NASA Astrophysics Data System (ADS)

    Lebofsky, Larry A.; McCarthy, Donald W.; Higgins, Michelle L.; Lebofsky, Nancy R.

    2014-11-01

    Our Solar System is no longer unique. To date, about 1,800 planets are known to orbit over 1,100 other stars and nearly 50% are in multiple-planet systems. Planetary systems seem [to be] fairly common and astronomers are now finding Earth-sized planets in the Goldilocks Zone, suggesting there may be other habitable planets. To this end, characterizing the atmospheric chemistries of such planets is a major science goal of the NIRCam instrument on the James Webb Space Telescope.For NIRCam's E/PO program with the Girl Scouts of the USA, we have produced scale models and associated activities to compare the size, scale, and dynamics of the Solar System with several exoplanet systems. Our models illustrate the techniques used to investigate these systems: radial velocity, transits, direct observations, and gravitational microlensing. By comparing and contrasting these models, we place our Solar System in a more cosmic context and enable discussion of current questions within the scientific community: How do planetary systems form and evolve? Is our present definition of a planet a good definition in the context of other planetary systems? Are there other planets/moons that might harbor life as we know it?These models are appropriate for use in classrooms and conform to the Next Generation Science Standards (NGSS) through the Disciplinary Core Idea: Earth's Place in the Universe and Crosscutting Concepts—Patterns Scale, Portion, and Quantity; and Systems and System Models. NGSS also states that the Nature of Science (NOS) should be an “essential part” of science education. NOS topics include, for example, understanding that scientific investigations use a variety of methods, that scientific knowledge is based on empirical evidence, that scientific explanations are open to revision in light of new evidence, and an understanding the nature of scientific models.

  15. NP_PAH_interaction dataset

    EPA Pesticide Factsheets

    Concentrations of different polyaromatic hydrocarbons in water before and after interaction with nanomaterials. The results show the capacity of engineer nanomaterials for adsorbing different organic pollutants. This dataset is associated with the following publication:Sahle-Demessie, E., A. Zhao, C. Han, B. Hann, and H. Grecsek. Interaction of engineered nanomaterials with hydrophobic organic pollutants.. Journal of Nanotechnology. Hindawi Publishing Corporation, New York, NY, USA, 27(28): 284003, (2016).

  16. Development of a SPARK Training Dataset

    SciTech Connect

    Sayre, Amanda M.; Olson, Jarrod R.

    2015-03-01

    In its first five years, the National Nuclear Security Administration’s (NNSA) Next Generation Safeguards Initiative (NGSI) sponsored more than 400 undergraduate, graduate, and post-doctoral students in internships and research positions (Wyse 2012). In the past seven years, the NGSI program has, and continues to produce a large body of scientific, technical, and policy work in targeted core safeguards capabilities and human capital development activities. Not only does the NGSI program carry out activities across multiple disciplines, but also across all U.S. Department of Energy (DOE)/NNSA locations in the United States. However, products are not readily shared among disciplines and across locations, nor are they archived in a comprehensive library. Rather, knowledge of NGSI-produced literature is localized to the researchers, clients, and internal laboratory/facility publication systems such as the Electronic Records and Information Capture Architecture (ERICA) at the Pacific Northwest National Laboratory (PNNL). There is also no incorporated way of analyzing existing NGSI literature to determine whether the larger NGSI program is achieving its core safeguards capabilities and activities. A complete library of NGSI literature could prove beneficial to a cohesive, sustainable, and more economical NGSI program. The Safeguards Platform for Automated Retrieval of Knowledge (SPARK) has been developed to be a knowledge storage, retrieval, and analysis capability to capture safeguards knowledge to exist beyond the lifespan of NGSI. During the development process, it was necessary to build a SPARK training dataset (a corpus of documents) for initial entry into the system and for demonstration purposes. We manipulated these data to gain new information about the breadth of NGSI publications, and they evaluated the science-policy interface at PNNL as a practical demonstration of SPARK’s intended analysis capability. The analysis demonstration sought to answer the

  17. Scientific Misconduct.

    PubMed

    Gross, Charles

    2016-01-01

    Scientific misconduct has been defined as fabrication, falsification, and plagiarism. Scientific misconduct has occurred throughout the history of science. The US government began to take systematic interest in such misconduct in the 1980s. Since then, a number of studies have examined how frequently individual scientists have observed scientific misconduct or were involved in it. Although the studies vary considerably in their methodology and in the nature and size of their samples, in most studies at least 10% of the scientists sampled reported having observed scientific misconduct. In addition to studies of the incidence of scientific misconduct, this review considers the recent increase in paper retractions, the role of social media in scientific ethics, several instructional examples of egregious scientific misconduct, and potential methods to reduce research misconduct.

  18. Cluster analysis applied to multiparameter geophysical dataset

    NASA Astrophysics Data System (ADS)

    Di Giuseppe, M. G.; Troiano, A.; Troise, C.; De Natale, G.

    2012-04-01

    . Vesuvius area. In all these application, cluster analysis integrating distinct geophysical methods appears an effective method to characterize complex geologic settings. Our post inversion clustering approach could possibly be applied at different of investigation scales, geophysical datasets, in many fields of geophysical exploration, where quantitative analysis of multiparameter geophysical information data is the key to successful implementation.

  19. Updated archaeointensity dataset from the SW Pacific

    NASA Astrophysics Data System (ADS)

    Hill, Mimi; Nilsson, Andreas; Holme, Richard; Hurst, Elliot; Turner, Gillian; Herries, Andy; Sheppard, Peter

    2016-04-01

    It is well known that there are far more archaeomagnetic data from the Northern Hemisphere than from the Southern. Here we present a compilation of archaeointensity data from the SW Pacific region covering the past 3000 years. The results have primarily been obtained from a collection of ceramics from the SW Pacific Islands including Fiji, Tonga, Papua New Guinea, New Caledonia and Vanuatu. In addition we present results obtained from heated clay balls from Australia. The microwave method has predominantly been used with a variety of experimental protocols including IZZI and Coe variants. Standard Thellier archaeointensity experiments using the IZZI protocol have also been carried out on selected samples. The dataset is compared to regional predictions from current global geomagnetic field models, and the influence of the new data on constraining the pfm9k family of global geomagnetic field models is explored.

  20. Securely measuring the overlap between private datasets with cryptosets.

    PubMed

    Swamidass, S Joshua; Matlock, Matthew; Rozenblit, Leon

    2015-01-01

    Many scientific questions are best approached by sharing data--collected by different groups or across large collaborative networks--into a combined analysis. Unfortunately, some of the most interesting and powerful datasets--like health records, genetic data, and drug discovery data--cannot be freely shared because they contain sensitive information. In many situations, knowing if private datasets overlap determines if it is worthwhile to navigate the institutional, ethical, and legal barriers that govern access to sensitive, private data. We report the first method of publicly measuring the overlap between private datasets that is secure under a malicious model without relying on private protocols or message passing. This method uses a publicly shareable summary of a dataset's contents, its cryptoset, to estimate its overlap with other datasets. Cryptosets approach "information-theoretic" security, the strongest type of security possible in cryptography, which is not even crackable with infinite computing power. We empirically and theoretically assess both the accuracy of these estimates and the security of the approach, demonstrating that cryptosets are informative, with a stable accuracy, and secure.

  1. Scientific Encounters of the Mysterious Sea. Reading Activities That Explore the Mysterious Creatures of the Deep Blue Sea. Grades 4-7.

    ERIC Educational Resources Information Center

    Embry, Lynn

    This activity book presents reading activities for grades 4-7 exploring the mysterious creatures of the deep sea. The creatures include: angel sharks; argonauts; barberfish; comb jelly; croakers; electric rays; flying fish; giganturid; lantern fish; narwhals; northern basket starfish; ocean sunfish; Portuguese man-of-war; sea cucumbers; sea…

  2. Provenance Challenges for Earth Science Dataset Publication

    NASA Technical Reports Server (NTRS)

    Tilmes, Curt

    2011-01-01

    Modern science is increasingly dependent on computational analysis of very large data sets. Organizing, referencing, publishing those data has become a complex problem. Published research that depends on such data often fails to cite the data in sufficient detail to allow an independent scientist to reproduce the original experiments and analyses. This paper explores some of the challenges related to data identification, equivalence and reproducibility in the domain of data intensive scientific processing. It will use the example of Earth Science satellite data, but the challenges also apply to other domains.

  3. Extension of research data repository system to support direct compute access to biomedical datasets: enhancing Dataverse to support large datasets.

    PubMed

    McKinney, Bill; Meyer, Peter A; Crosas, Mercè; Sliz, Piotr

    2017-01-01

    Access to experimental X-ray diffraction image data is important for validation and reproduction of macromolecular models and indispensable for the development of structural biology processing methods. In response to the evolving needs of the structural biology community, we recently established a diffraction data publication system, the Structural Biology Data Grid (SBDG, data.sbgrid.org), to preserve primary experimental datasets supporting scientific publications. All datasets published through the SBDG are freely available to the research community under a public domain dedication license, with metadata compliant with the DataCite Schema (schema.datacite.org). A proof-of-concept study demonstrated community interest and utility. Publication of large datasets is a challenge shared by several fields, and the SBDG has begun collaborating with the Institute for Quantitative Social Science at Harvard University to extend the Dataverse (dataverse.org) open-source data repository system to structural biology datasets. Several extensions are necessary to support the size and metadata requirements for structural biology datasets. In this paper, we describe one such extension-functionality supporting preservation of file system structure within Dataverse-which is essential for both in-place computation and supporting non-HTTP data transfers.

  4. Exploring high school students' use of theory and evidence in an everyday context: the role of scientific thinking in environmental science decision-making

    NASA Astrophysics Data System (ADS)

    Yang, Fang-Ying

    2004-11-01

    This study examined 10th-grade students' use of theory and evidence in evaluating a socio-scientific issue: the use of underground water, after students had received a Science, Technology and Society-oriented instruction. Forty-five male and 45 female students from two intact, single-sex, classes participated in this study. A flow-map method was used to assess the participants' conceptual knowledge. The reasoning mode was assessed using a questionnaire with open-ended questions. Results showed that, although some weak to moderate associations were found between conceptual organization in memory and reasoning modes, the students' ability to incorporate theory and evidence was in general inadequate. It was also found that students' reasoning modes were consistent with their epistemological perspectives. Moreover, male and female students appear to have different reasoning approaches.

  5. Watershed Boundary Dataset for Mississippi

    USGS Publications Warehouse

    Wilson, K. Van; Clair, Michael G.; Turnipseed, D. Phil; Rebich, Richard A.

    2009-01-01

    The U.S. Geological Survey, in cooperation with the Mississippi Department of Environmental Quality, U.S. Department of Agriculture-Natural Resources Conservation Service, Mississippi Department of Transportation, U.S. Department of Agriculture-Forest Service, and the Mississippi Automated Resource Information System developed a 1:24,000-scale Watershed Boundary Dataset for Mississippi including watershed and subwatershed boundaries, codes, names, and areas. The Watershed Boundary Dataset for Mississippi provides a standard geographical framework for water-resources and selected land-resources planning. The original 8-digit subbasins (Hydrologic Unit Codes) were further subdivided into 10-digit watersheds (62.5 to 391 square miles (mi2)) and 12-digit subwatersheds (15.6 to 62.5 mi2) - the exceptions being the Delta part of Mississippi and the Mississippi River inside levees, which were subdivided into 10-digit watersheds only. Also, large water bodies in the Mississippi Sound along the coast were not delineated as small as a typical 12-digit subwatershed. All of the data - including watershed and subwatershed boundaries, subdivision codes and names, and drainage-area data - are stored in a Geographic Information System database, which are available at: http://ms.water.usgs.gov/. This map shows information on drainage and hydrography in the form of U.S. Geological Survey hydrologic unit boundaries for water-resource 2-digit regions, 4-digit subregions, 6-digit basins (formerly called accounting units), 8-digit subbasins (formerly called cataloging units), 10-digit watershed, and 12-digit subwatersheds in Mississippi. A description of the project study area, methods used in the development of watershed and subwatershed boundaries for Mississippi, and results are presented in Wilson and others (2008). The data presented in this map and by Wilson and others (2008) supersede the data presented for Mississippi by Seaber and others (1987) and U.S. Geological Survey (1977).

  6. Mario Bunge's Scientific Realism

    ERIC Educational Resources Information Center

    Cordero, Alberto

    2012-01-01

    This paper presents and comments on Mario Bunge's scientific realism. After a brief introduction in Sects. 1 and 2 outlines Bunge's conception of realism. Focusing on the case of quantum mechanics, Sect. 3 explores how his approach plays out for problematic theories. Section 4 comments on Bunge's project against the background of the current…

  7. Mario Bunge's Scientific Realism

    NASA Astrophysics Data System (ADS)

    Cordero, Alberto

    2012-10-01

    This paper presents and comments on Mario Bunge's scientific realism. After a brief introduction in Sects. 1 and 2 outlines Bunge's conception of realism. Focusing on the case of quantum mechanics, Sect. 3 explores how his approach plays out for problematic theories. Section 4 comments on Bunge's project against the background of the current debate on realism in contemporary analytic philosophy.

  8. A Dataset for Breast Cancer Histopathological Image Classification.

    PubMed

    Spanhol, Fabio A; Oliveira, Luiz S; Petitjean, Caroline; Heutte, Laurent

    2016-07-01

    Today, medical image analysis papers require solid experiments to prove the usefulness of proposed methods. However, experiments are often performed on data selected by the researchers, which may come from different institutions, scanners, and populations. Different evaluation measures may be used, making it difficult to compare the methods. In this paper, we introduce a dataset of 7909 breast cancer histopathology images acquired on 82 patients, which is now publicly available from http://web.inf.ufpr.br/vri/breast-cancer-database. The dataset includes both benign and malignant images. The task associated with this dataset is the automated classification of these images in two classes, which would be a valuable computer-aided diagnosis tool for the clinician. In order to assess the difficulty of this task, we show some preliminary results obtained with state-of-the-art image classification systems. The accuracy ranges from 80% to 85%, showing room for improvement is left. By providing this dataset and a standardized evaluation protocol to the scientific community, we hope to gather researchers in both the medical and the machine learning field to advance toward this clinical application.

  9. What can we learn from the toughest animals of the Earth? Water bears (tardigrades) as multicellular model organisms in order to perform scientific preparations for lunar exploration

    NASA Astrophysics Data System (ADS)

    Guidetti, Roberto; Rizzo, Angela Maria; Altiero, Tiziana; Rebecchi, Lorena

    2012-12-01

    Space missions of long duration required a series of preliminary experiments on living organisms, validated by a substantial phase of ground simulation experiments, in the field of micro- and inter-mediate gravities, radiobiology, and, for planetary explorations, related to risks deriving from regolith and dust exposure. In this review, we present the tardigrades, whose characteristics that recommend them as an emerging model for space biology. They are microscopic animals but are characterized by a complex structural organization similar to that of larger animals; they can be cultured in lab in small facilities, having small size; they are able to produce clonal lineages by means of parthenogenesis; they can completely suspend their metabolism when entering in dormant states (anhydrobiosis induced by dehydration and cryobiosis induced by freezing); desiccated anhydrobiotic tardigrades are able to withstand chemical and physical extremes, but a large tolerance is showed also by active animals; they can be stored in dry state for many years without loss of viability. Tardigrades have already been exposed to space stressors on Low Earth Orbit several times. The relevance of ground-based and space studies on tardigrades rests on the presumption that results could suggest strategies to protect organisms, also humans, when exposed to the space and lunar environments.

  10. Waterfalls linked to the National Hydrography Datasets

    USGS Publications Warehouse

    Wieferich, Daniel

    2016-01-01

    This dataset contains information about waterfall location and characteristics. It also provides a linear reference to two National Hydrography Datasets. This dataset is based off the World Waterfall Database (WWD) and other source datasets. The coordinates and spatial attributes from the WWD were used to help verify locations in Google Earth. From there, the USGS HydroLink Tool was used to link data to both the NHDPlusV2.1 (1:100,000 scale) and NHD High Resolution Dataset (1:24,000 scale). This dataset currently includes waterfalls from the states of Indiana, Wisconsin, Michigan, Nebraska, Illinois and Missouri. Waterfalls from other states are planned to be added through time, see the status and update sections of the metadata for additional information.

  11. Lessons Learned while Exploring Cloud-Native Architectures for NASA EOSDIS Applications and Systems

    NASA Technical Reports Server (NTRS)

    Pilone, Dan

    2016-01-01

    As new, high data rate missions begin collecting data, the NASAs Earth Observing System Data and Information System (EOSDIS) archive is projected to grow roughly 20x to over 300PBs by 2025. To prepare for the dramatic increase in data and enable broad scientific inquiry into larger time series and datasets, NASA has been exploring the impact of applying cloud technologies throughout EOSDIS. In this talk we will provide an overview of NASAs prototyping and lessons learned in applying cloud architectures.

  12. Recording Scientific Knowledge

    SciTech Connect

    Bowker, Geof

    2006-01-09

    The way we record knowledge, and the web of technical, formal, and social practices that surrounds it, inevitably affects the knowledge that we record. The ways we hold knowledge about the past - in handwritten manuscripts, in printed books, in file folders, in databases - shape the kind of stories we tell about that past. In this talk, I look at how over the past two hundred years, information technology has affected the nature and production of scientific knowledge. Further, I explore ways in which the emergent new cyberinfrastructure is changing our relationship to scientific practice.

  13. A global distributed basin morphometric dataset.

    PubMed

    Shen, Xinyi; Anagnostou, Emmanouil N; Mei, Yiwen; Hong, Yang

    2017-01-05

    Basin morphometry is vital information for relating storms to hydrologic hazards, such as landslides and floods. In this paper we present the first comprehensive global dataset of distributed basin morphometry at 30 arc seconds resolution. The dataset includes nine prime morphometric variables; in addition we present formulas for generating twenty-one additional morphometric variables based on combination of the prime variables. The dataset can aid different applications including studies of land-atmosphere interaction, and modelling of floods and droughts for sustainable water management. The validity of the dataset has been consolidated by successfully repeating the Hack's law.

  14. A global distributed basin morphometric dataset

    NASA Astrophysics Data System (ADS)

    Shen, Xinyi; Anagnostou, Emmanouil N.; Mei, Yiwen; Hong, Yang

    2017-01-01

    Basin morphometry is vital information for relating storms to hydrologic hazards, such as landslides and floods. In this paper we present the first comprehensive global dataset of distributed basin morphometry at 30 arc seconds resolution. The dataset includes nine prime morphometric variables; in addition we present formulas for generating twenty-one additional morphometric variables based on combination of the prime variables. The dataset can aid different applications including studies of land-atmosphere interaction, and modelling of floods and droughts for sustainable water management. The validity of the dataset has been consolidated by successfully repeating the Hack's law.

  15. A global distributed basin morphometric dataset

    PubMed Central

    Shen, Xinyi; Anagnostou, Emmanouil N.; Mei, Yiwen; Hong, Yang

    2017-01-01

    Basin morphometry is vital information for relating storms to hydrologic hazards, such as landslides and floods. In this paper we present the first comprehensive global dataset of distributed basin morphometry at 30 arc seconds resolution. The dataset includes nine prime morphometric variables; in addition we present formulas for generating twenty-one additional morphometric variables based on combination of the prime variables. The dataset can aid different applications including studies of land-atmosphere interaction, and modelling of floods and droughts for sustainable water management. The validity of the dataset has been consolidated by successfully repeating the Hack’s law. PMID:28055032

  16. The health care and life sciences community profile for dataset descriptions.

    PubMed

    Dumontier, Michel; Gray, Alasdair J G; Marshall, M Scott; Alexiev, Vladimir; Ansell, Peter; Bader, Gary; Baran, Joachim; Bolleman, Jerven T; Callahan, Alison; Cruz-Toledo, José; Gaudet, Pascale; Gombocz, Erich A; Gonzalez-Beltran, Alejandra N; Groth, Paul; Haendel, Melissa; Ito, Maori; Jupp, Simon; Juty, Nick; Katayama, Toshiaki; Kobayashi, Norio; Krishnaswami, Kalpana; Laibe, Camille; Le Novère, Nicolas; Lin, Simon; Malone, James; Miller, Michael; Mungall, Christopher J; Rietveld, Laurens; Wimalaratne, Sarala M; Yamaguchi, Atsuko

    2016-01-01

    Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets.

  17. The health care and life sciences community profile for dataset descriptions

    PubMed Central

    Alexiev, Vladimir; Ansell, Peter; Bader, Gary; Baran, Joachim; Bolleman, Jerven T.; Callahan, Alison; Cruz-Toledo, José; Gaudet, Pascale; Gombocz, Erich A.; Gonzalez-Beltran, Alejandra N.; Groth, Paul; Haendel, Melissa; Ito, Maori; Jupp, Simon; Juty, Nick; Katayama, Toshiaki; Kobayashi, Norio; Krishnaswami, Kalpana; Laibe, Camille; Le Novère, Nicolas; Lin, Simon; Malone, James; Miller, Michael; Mungall, Christopher J.; Rietveld, Laurens; Wimalaratne, Sarala M.; Yamaguchi, Atsuko

    2016-01-01

    Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets. PMID:27602295

  18. Scientific Satellites

    DTIC Science & Technology

    1967-01-01

    1919 paper (ref. 9), in which he suggested a Moon rocket. Rock- etry was on a par with extrasensory perception in those days. 38 SCIENTIFIC SA&TLLITES...this way, images of sky can be taken at different wavelengths. The perceptive reader will note that the two zodiacal-light ex- periments described

  19. Scientific Documentation.

    ERIC Educational Resources Information Center

    Pieper, Gail W.

    1980-01-01

    Describes how scientific documentation is taught in three 50-minute sessions in a technical writing course. Tells how session one distinguishes between in-text notes, footnotes, and reference entries; session two discusses the author-year system of citing references; and session three is concerned with the author-number system of reference…

  20. Wāhine hauora: linking local hospital and national health information datasets to explore maternal risk factors and obstetric outcomes of New Zealand Māori and non-Māori women in relation to infant respiratory admissions and timely immunisations

    PubMed Central

    2013-01-01

    Background Significant health inequities exist around maternal and infant health for Māori, the indigenous people of New Zealand. The infants of Māori are more likely to die in their first year of life and also have higher rates of hospital admission for respiratory illnesses, with the greatest burden of morbidity being due to bronchiolitis in those under one year of age. Timely immunisations can prevent some respiratory related hospitalisations, although for Māori, the proportion of infants with age appropriate immunisations are lower than for non-Māori. This paper describes the protocol for a retrospective cohort study that linked local hospital and national health information datasets to explore maternal risk factors and obstetric outcomes in relation to respiratory admissions and timely immunisations for infants of Māori and non-Māori women. Methods/Design The study population included pregnant women who gave birth in hospital in one region of New Zealand between 1995 and 2009. Routinely collected local hospital data were linked via a unique identifier (National Health Index number) to national health information databases to assess rates of post-natal admissions and access to health services for Māori and non-Māori mothers and infants. The two primary outcomes for the study are: 1. The rates of respiratory hospitalisations of infants (≤ 1 yr of age) calculated for infants of both Māori and non-Māori women (for mothers under 20 years of age, and overall) accounting for relationship to parity, maternal age, socioeconomic deprivation index, maternal smoking status. 2. The proportion of infants with age appropriate immunisations at six and 12 months, calculated for both infants born to Māori women and infants born to non-Māori women, accounting for relationship to parity, maternal age, socioeconomic deprivation index, smoking status, and other risk factors. Discussion Analysis of a wide range of routinely collected health information in which

  1. ASSISTments Dataset from Multiple Randomized Controlled Experiments

    ERIC Educational Resources Information Center

    Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil

    2016-01-01

    In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…

  2. Explore with Us

    NASA Technical Reports Server (NTRS)

    Morales, Lester

    2012-01-01

    The fundamental goal of this vision is to advance U.S. scientific, security and economic interest through a robust space exploration program. Implement a sustained and affordable human and robotic program to explore the solar system and beyond. Extend human presence across the solar system, starting with a human return to the Moon by the year 2020, in preparation for human exploration of Mars and other destinations. Develop the innovative technologies, knowledge, and infrastructures both to explore and to support decisions about the destinations for human exploration. Promote international and commercial participation in exploration to further U.S. scientific, security, and economic interests.

  3. DEX: Increasing the Capability of Scientific Data Analysis Pipelines by Using Efficient Bitmap Indices to Accelerate Scientific Visualization

    SciTech Connect

    Stockinger, Kurt; Shalf, John; Bethel, Wes; Wu, Kesheng

    2005-02-04

    We describe a new approach to scalable data analysis that enables scientists to manage the explosion in size and complexity of scientific data produced by experiments and simulations. Our approach uses a novel combination of efficient query technology and visualization infrastructure. The combination of bit map indexing, which is a data management technology that accelerates queries on large scientific datasets, with a visualization pipeline for generating images of abstract data results in a tool suitable for use by scientists in fields where data size and complexity poses a barrier to efficient analysis. Our architecture and implementation, which we call DEX (short for dexterous data explorer), directly addresses the problem of ''too much data'' by focusing analysis on data deemed to be ''scientifically interesting'' via a user-specified selection criteria. The architectural concepts and implementation are applicable to wide variety of scientific data analysis and visualization applications. This paper presents an architectural overview of the system along with an analysis showing substantial performance over traditional visualization pipelines. While performance gains are a significant result, even more important is the new functionality not present in any visualization analysis software--namely the ability to perform interactive, multi-dimensional queries to refine regions of interest that are later used as input to analysis or visualization.

  4. A dataset of human decision-making in teamwork management

    PubMed Central

    Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

    2017-01-01

    Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members’ capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches. PMID:28094787

  5. A dataset of human decision-making in teamwork management

    NASA Astrophysics Data System (ADS)

    Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

    2017-01-01

    Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members' capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

  6. Filtergraph: An interactive web application for visualization of astronomy datasets

    NASA Astrophysics Data System (ADS)

    Burger, Dan; Stassun, Keivan G.; Pepper, Joshua; Siverd, Robert J.; Paegert, Martin; De Lee, Nathan M.; Robinson, William H.

    2013-08-01

    Filtergraph is a web application being developed and maintained by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly and rapidly visualize a large variety of astronomy datasets of various formats and sizes. The user loads a flat-file dataset into Filtergraph which automatically generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots of up to five dimensions as well as histograms and tables based on the dataset. Key features of the portal include intuitive controls with auto-completed variable names, the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. To enable seamless data visualization and exploration, changes are quickly rendered on screen and visualizations can be exported as high quality graphics files. The application is optimized for speed in the context of large datasets: for instance, a plot generated from a stellar database of 3.1 million entries renders in less than 2 s on a standard web server platform. This web application has been created using the Web2py web framework based on the Python programming language. Filtergraph is free to use at http://filtergraph.vanderbilt.edu/.

  7. A dataset of human decision-making in teamwork management.

    PubMed

    Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

    2017-01-17

    Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members' capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

  8. Making Sense of Scientific Biographies: Scientific Achievement, Nature of Science, and Storylines in College Students' Essays

    ERIC Educational Resources Information Center

    Hwang, Seyoung

    2015-01-01

    In this article, the educative value of scientific biographies will be explored, especially for non-science major college students. During the "Scientist's life and thought" course, 66 college students read nine scientific biographies including five biologists, covering the canonical scientific achievements in Western scientific history.…

  9. Scientific Claims versus Scientific Knowledge.

    ERIC Educational Resources Information Center

    Ramsey, John

    1991-01-01

    Provides activities that help students to understand the importance of the scientific method. The activities include the science of fusion and cold fusion; a group activity that analyzes and interprets the events surrounding cold fusion; and an application research project concerning a current science issue. (ZWH)

  10. Scientific Misconduct

    NASA Astrophysics Data System (ADS)

    Moore, John W.

    2002-12-01

    These cases provide a good basis for discussions of scientific ethics, particularly with respect to the responsibilities of colleagues in collaborative projects. With increasing numbers of students working in cooperative or collaborative groups, there may be opportunities for more than just discussion—similar issues of responsibility apply to the members of such groups. Further, this is an area where, “no clear, widely accepted standards of behavior exist” (1). Thus there is an opportunity to point out to students that scientific ethics, like science itself, is incomplete and needs constant attention to issues that result from new paradigms such as collaborative research. Finally, each of us can resolve to pay more attention to the contributions we and our colleagues make to collaborative projects, applying to our own work no less critical an eye than we would cast on the work of those we don’t know at all.

  11. Securely Measuring the Overlap between Private Datasets with Cryptosets

    PubMed Central

    Swamidass, S. Joshua; Matlock, Matthew; Rozenblit, Leon

    2015-01-01

    Many scientific questions are best approached by sharing data—collected by different groups or across large collaborative networks—into a combined analysis. Unfortunately, some of the most interesting and powerful datasets—like health records, genetic data, and drug discovery data—cannot be freely shared because they contain sensitive information. In many situations, knowing if private datasets overlap determines if it is worthwhile to navigate the institutional, ethical, and legal barriers that govern access to sensitive, private data. We report the first method of publicly measuring the overlap between private datasets that is secure under a malicious model without relying on private protocols or message passing. This method uses a publicly shareable summary of a dataset’s contents, its cryptoset, to estimate its overlap with other datasets. Cryptosets approach “information-theoretic” security, the strongest type of security possible in cryptography, which is not even crackable with infinite computing power. We empirically and theoretically assess both the accuracy of these estimates and the security of the approach, demonstrating that cryptosets are informative, with a stable accuracy, and secure. PMID:25714898

  12. Toddlers' Scientific Explorations: Encounters with Insects

    ERIC Educational Resources Information Center

    Shaffer, Lauren Foster; Hall, Ellen; Lynch, Mary

    2009-01-01

    This article features Boulder Journey School, located in Boulder, Colorado, a full-day, year-round school that welcomes over 200 young children, ages 6 weeks to 6 years, and their families. The school community is committed to a culture based on children as curious and competent individuals capable of coconstructing knowledge. In Boulder Journey…

  13. Galaxy Evolution Spectroscopic Explorer: Scientific Rationale

    NASA Technical Reports Server (NTRS)

    Heap, Sara; Ninkov, Zoran; Robberto, Massimo; Hull, Tony; Purves, Lloyd

    2016-01-01

    GESE is a mission concept consisting of a 1.5-m space telescope and UV multi-object slit spectrograph designed to help understand galaxy evolution in a critical era in the history of the universe, where the rate of star-formation stopped increasing and started to decline. To isolate and identify the various processes driving the evolution of these galaxies, GESE will obtain rest-frame far-UV spectra of 100,000 galaxies at redshifts, z approximately 1-2. To obtain such a large number of spectra, multiplexing over a wide field is an absolute necessity. A slit device such as a digital micro-mirror device (DMD) or a micro-shutter array (MSA) enables spectroscopy of a hundred or more sources in a single exposure while eliminating overlapping spectra of other sources and blocking unwanted background like zodiacal light. We find that a 1.5-m space telescope with a MSA slit device combined with a custom orbit enabling long, uninterrupted exposures (approximately 10 hr) are optimal for this spectroscopic survey. GESE will not be operating alone in this endeavor. Together with x-ray telescopes and optical/near-IR telescopes like Subaru/Prime Focus Spectrograph, GESE will detect "feedback" from young massive stars and massive black holes (AGN's), and other drivers of galaxy evolution.

  14. Galaxy evolution spectroscopic explorer: scientific rationale

    NASA Astrophysics Data System (ADS)

    Heap, Sara; Ninkov, Zoran; Robberto, Massimo; Hull, Tony; Purves, Lloyd

    2016-07-01

    GESE is a mission concept consisting of a 1.5-m space telescope and UV multi-object slit spectrograph designed to help understand galaxy evolution in a critical era in the history of the universe, where the rate of star-formation stopped increasing and started to decline. To isolate and identify the various processes driving the evolution of these galaxies, GESE will obtain rest-frame far-UV spectra of 100,000 galaxies at redshifts, z 1-2. To obtain such a large number of spectra, multiplexing over a wide field is an absolute necessity. A slit device such as a digital micro-mirror device (DMD) or a micro-shutter array (MSA) enables spectroscopy of a hundred or more sources in a single exposure while eliminating overlapping spectra of other sources and blocking unwanted background like zodiacal light. We find that a 1.5-m space telescope with a MSA slit device combined with a custom orbit enabling long, uninterrupted exposures ( 10 hr) are optimal for this spectroscopic survey. GESE will not be operating alone in this endeavor. Together with x-ray telescopes and optical/near-IR telescopes like Subaru/Prime Focus Spectrograph, GESE will detect "feedback" from young massive stars and massive black holes (AGN's), and other drivers of galaxy evolution.

  15. [Scientific journalism and epidemiological risk].

    PubMed

    Luiz, Olinda do Carmo

    2007-01-01

    The importance of the communications media in the construction of symbols has been widely acknowledged. Many of the articles on health published in the daily newspapers mention medical studies, sourced from scientific publications focusing on new risks. The disclosure of risk studies in the mass media is also a topic for editorials and articles in scientific journals, focusing the problem of distortions and the appearance of contradictory news items. The purpose of this paper is to explore the meaning and content of disclosing scientific risk studies in large-circulation daily newspapers, analyzing news items published in Brazil and the scientific publications used as their sources during 2000. The "risk" is presented in the scientific research projects as a "black box" in the meaning of Latour, with the news items downplaying scientific disputes and underscoring associations between behavioral habits and the occurrence of diseases, emphasizing individual aspects of the epidemiological approach, to the detriment of the group.

  16. Atlas-Guided Cluster Analysis of Large Tractography Datasets

    PubMed Central

    Ros, Christian; Güllmar, Daniel; Stenzel, Martin; Mentzel, Hans-Joachim; Reichenbach, Jürgen Rainer

    2013-01-01

    Diffusion Tensor Imaging (DTI) and fiber tractography are important tools to map the cerebral white matter microstructure in vivo and to model the underlying axonal pathways in the brain with three-dimensional fiber tracts. As the fast and consistent extraction of anatomically correct fiber bundles for multiple datasets is still challenging, we present a novel atlas-guided clustering framework for exploratory data analysis of large tractography datasets. The framework uses an hierarchical cluster analysis approach that exploits the inherent redundancy in large datasets to time-efficiently group fiber tracts. Structural information of a white matter atlas can be incorporated into the clustering to achieve an anatomically correct and reproducible grouping of fiber tracts. This approach facilitates not only the identification of the bundles corresponding to the classes of the atlas; it also enables the extraction of bundles that are not present in the atlas. The new technique was applied to cluster datasets of 46 healthy subjects. Prospects of automatic and anatomically correct as well as reproducible clustering are explored. Reconstructed clusters were well separated and showed good correspondence to anatomical bundles. Using the atlas-guided cluster approach, we observed consistent results across subjects with high reproducibility. In order to investigate the outlier elimination performance of the clustering algorithm, scenarios with varying amounts of noise were simulated and clustered with three different outlier elimination strategies. By exploiting the multithreading capabilities of modern multiprocessor systems in combination with novel algorithms, our toolkit clusters large datasets in a couple of minutes. Experiments were conducted to investigate the achievable speedup and to demonstrate the high performance of the clustering framework in a multiprocessing environment. PMID:24386292

  17. A multimodal MRI dataset of professional chess players.

    PubMed

    Li, Kaiming; Jiang, Jing; Qiu, Lihua; Yang, Xun; Huang, Xiaoqi; Lui, Su; Gong, Qiyong

    2015-01-01

    Chess is a good model to study high-level human brain functions such as spatial cognition, memory, planning, learning and problem solving. Recent studies have demonstrated that non-invasive MRI techniques are valuable for researchers to investigate the underlying neural mechanism of playing chess. For professional chess players (e.g., chess grand masters and masters or GM/Ms), what are the structural and functional alterations due to long-term professional practice, and how these alterations relate to behavior, are largely veiled. Here, we report a multimodal MRI dataset from 29 professional Chinese chess players (most of whom are GM/Ms), and 29 age matched novices. We hope that this dataset will provide researchers with new materials to further explore high-level human brain functions.

  18. Multivariate Data EXplorer (MDX)

    SciTech Connect

    Steed, Chad Allen

    2012-08-01

    The MDX toolkit facilitates exploratory data analysis and visualization of multivariate datasets. MDX provides and interactive graphical user interface to load, explore, and modify multivariate datasets stored in tabular forms. MDX uses an extended version of the parallel coordinates plot and scatterplots to represent the data. The user can perform rapid visual queries using mouse gestures in the visualization panels to select rows or columns of interest. The visualization panel provides coordinated multiple views whereby selections made in one plot are propagated to the other plots. Users can also export selected data or reconfigure the visualization panel to explore relationships between columns and rows in the data.

  19. Simulation of Smart Home Activity Datasets

    PubMed Central

    Synnott, Jonathan; Nugent, Chris; Jeffers, Paul

    2015-01-01

    A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation. PMID:26087371

  20. Simulation of Smart Home Activity Datasets.

    PubMed

    Synnott, Jonathan; Nugent, Chris; Jeffers, Paul

    2015-06-16

    A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation.

  1. The Greenwich Photo-heliographic Results (1874 - 1976): Summary of the Observations, Applications, Datasets, Definitions and Errors

    NASA Astrophysics Data System (ADS)

    Willis, D. M.; Coffey, H. E.; Henwood, R.; Erwin, E. H.; Hoyt, D. V.; Wild, M. N.; Denig, W. F.

    2013-11-01

    The measurements of sunspot positions and areas that were published initially by the Royal Observatory, Greenwich, and subsequently by the Royal Greenwich Observatory (RGO), as the Greenwich Photo-heliographic Results ( GPR), 1874 - 1976, exist in both printed and digital forms. These printed and digital sunspot datasets have been archived in various libraries and data centres. Unfortunately, however, typographic, systematic and isolated errors can be found in the various datasets. The purpose of the present paper is to begin the task of identifying and correcting these errors. In particular, the intention is to provide in one foundational paper all the necessary background information on the original solar observations, their various applications in scientific research, the format of the different digital datasets, the necessary definitions of the quantities measured, and the initial identification of errors in both the printed publications and the digital datasets. Two companion papers address the question of specific identifiable errors; namely, typographic errors in the printed publications, and both isolated and systematic errors in the digital datasets. The existence of two independently prepared digital datasets, which both contain information on sunspot positions and areas, makes it possible to outline a preliminary strategy for the development of an even more accurate digital dataset. Further work is in progress to generate an extremely reliable sunspot digital dataset, based on the programme of solar observations supported for more than a century by the Royal Observatory, Greenwich, and the Royal Greenwich Observatory. This improved dataset should be of value in many future scientific investigations.

  2. Relevancy Ranking of Satellite Dataset Search Results

    NASA Technical Reports Server (NTRS)

    Lynnes, Christopher; Quinn, Patrick; Norton, James

    2017-01-01

    As the Variety of Earth science datasets increases, science researchers find it more challenging to discover and select the datasets that best fit their needs. The most common way of search providers to address this problem is to rank the datasets returned for a query by their likely relevance to the user. Large web page search engines typically use text matching supplemented with reverse link counts, semantic annotations and user intent modeling. However, this produces uneven results when applied to dataset metadata records simply externalized as a web page. Fortunately, data and search provides have decades of experience in serving data user communities, allowing them to form heuristics that leverage the structure in the metadata together with knowledge about the user community. Some of these heuristics include specific ways of matching the user input to the essential measurements in the dataset and determining overlaps of time range and spatial areas. Heuristics based on the novelty of the datasets can prioritize later, better versions of data over similar predecessors. And knowledge of how different user types and communities use data can be brought to bear in cases where characteristics of the user (discipline, expertise) or their intent (applications, research) can be divined. The Earth Observing System Data and Information System has begun implementing some of these heuristics in the relevancy algorithm of its Common Metadata Repository search engine.

  3. The next scientific revolution.

    PubMed

    Hey, Tony

    2010-11-01

    For decades, computer scientists have tried to teach computers to think like human experts. Until recently, most of those efforts have failed to come close to generating the creative insights and solutions that seem to come naturally to the best researchers, doctors, and engineers. But now, Tony Hey, a VP of Microsoft Research, says we're witnessing the dawn of a new generation of powerful computer tools that can "mash up" vast quantities of data from many sources, analyze them, and help produce revolutionary scientific discoveries. Hey and his colleagues call this new method of scientific exploration "machine learning." At Microsoft, a team has already used it to innovate a method of predicting with impressive accuracy whether a patient with congestive heart failure who is released from the hospital will be readmitted within 30 days. It was developed by directing a computer program to pore through hundreds of thousands of data points on 300,000 patients and "learn" the profiles of patients most likely to be rehospitalized. The economic impact of this prediction tool could be huge: If a hospital understands the likelihood that a patient will "bounce back," it can design programs to keep him stable and save thousands of dollars in health care costs. Similar efforts to uncover important correlations that could lead to scientific breakthroughs are under way in oceanography, conservation, and AIDS research. And in business, deep data exploration has the potential to unearth critical insights about customers, supply chains, advertising effectiveness, and more.

  4. A call for virtual experiments: accelerating the scientific process.

    PubMed

    Cooper, Jonathan; Vik, Jon Olav; Waltemath, Dagmar

    2015-01-01

    Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a "continuous integration" of biological knowledge, transforming our approach to systems biology.

  5. The Interplay between Scientific Overlap and Cooperation and the Resulting Gain in Co-Authorship Interactions.

    PubMed

    Mayrose, Itay; Freilich, Shiri

    2015-01-01

    Considering the importance of scientific interactions, understanding the principles that govern fruitful scientific research is crucial to policy makers and scientists alike. The outcome of an interaction is to a large extent dependent on the balancing of contradicting motivations accompanying the establishment of collaborations. Here, we assembled a dataset of nearly 20,000 publications authored by researchers affiliated with ten top universities. Based on this data collection, we estimated the extent of different interaction types between pairwise combinations of researchers. We explored the interplay between the overlap in scientific interests and the tendency to collaborate, and associated these estimates with measures of scientific quality and social accessibility aiming at studying the typical resulting gain of different interaction patterns. Our results show that scientists tend to collaborate more often with colleagues with whom they share moderate to high levels of mutual interests and knowledge while cooperative tendency declines at higher levels of research-interest overlap, suggesting fierce competition, and at the lower levels, suggesting communication gaps. Whereas the relative number of alliances dramatically differs across a gradient of research overlap, the scientific impact of the resulting articles remains similar. When considering social accessibility, we find that though collaborations between remote researchers are relatively rare, their quality is significantly higher than studies produced by close-circle scientists. Since current collaboration patterns do not necessarily overlap with gaining optimal scientific quality, these findings should encourage scientists to reconsider current collaboration strategies.

  6. Ontology for Transforming Geo-Spatial Data for Discovery and Integration of Scientific Data

    NASA Astrophysics Data System (ADS)

    Nguyen, L.; Chee, T.; Minnis, P.

    2013-12-01

    Discovery and access to geo-spatial scientific data across heterogeneous repositories and multi-discipline datasets can present challenges for scientist. We propose to build a workflow for transforming geo-spatial datasets into semantic environment by using relationships to describe the resource using OWL Web Ontology, RDF, and a proposed geo-spatial vocabulary. We will present methods for transforming traditional scientific dataset, use of a semantic repository, and querying using SPARQL to integrate and access datasets. This unique repository will enable discovery of scientific data by geospatial bound or other criteria.

  7. Assessment of the NASA-USGS Global Land Survey (GLS) Datasets

    USGS Publications Warehouse

    Gutman, Garik; Huang, Chengquan; Chander, Gyanesh; Noojipady, Praveen; Masek, Jeffery G.

    2013-01-01

    The Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from four sensors: Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, and Advanced Land Imager. The GLS datasets have been widely used in land-cover and land-use change studies at local, regional, and global scales. This study evaluates the GLS datasets with respect to their spatial coverage, temporal consistency, geodetic accuracy, radiometric calibration consistency, image completeness, extent of cloud contamination, and residual gaps. In general, the three latest GLS datasets are of a better quality than the GLS-1990 and GLS-1975 datasets, with most of the imagery (85%) having cloud cover of less than 10%, the acquisition years clustered much more tightly around their target years, better co-registration relative to GLS-2000, and better radiometric absolute calibration. Probably, the most significant impediment to scientific use of the datasets is the variability of image phenology (i.e., acquisition day of year). This paper provides end-users with an assessment of the quality of the GLS datasets for specific applications, and where possible, suggestions for mitigating their deficiencies.

  8. Interoperability of Multiple Datasets with JMARS

    NASA Astrophysics Data System (ADS)

    Smith, M. E.; Christensen, P. R.; Noss, D.; Anwar, S.; Dickenshied, S.

    2012-12-01

    Planetary Science includes all celestial bodies including Earth. However, when investigating Geographic Information System (GIS) applications, Earth and planetary bodies have the tendency to be separated. One reason is because we have been learning and investigating Earth's properties much longer than we have been studying the other planetary bodies, therefore, the archive of GCS and projections is much larger. The first latitude and longitude system of Earth was invented between 276 BC and 194 BC by Eratosthenes who was also the first to calculate the circumference of the Earth. As time went on, scientists continued to re-measure the Earth on both local and global scales which has created a large collection of projections and geographic coordinate systems (GCS) to choose from. The variety of options can create a time consuming task to determine which GCS or projection gets applied to each dataset and how to convert to the correct GCS or projection. Another issue is presented when determining if the dataset should be applied to a geocentric sphere or a geodetic spheroid. Both of which are measured and determine latitude values differently. This can lead to inconsistent results and frustration for the user. This is not the case with other planetary bodies. Although the existence of other planets have been known since the early Babylon times, the accuracy of the planets rotation, size and geologic properties weren't known for several hundreds of years later. Therefore, the options for projections or GCS's are much smaller than the options one has for Earth's data. Even then, the projection and GCS options for other celestial bodies are informal. So it can be hard for the user to determine which projection or GCS to apply to the other planets. JMARS (Java Mission Analysis for Remote Sensing) is an open source suite that was developed by Arizona State University's Mars Space Flight Facility. The beauty of JMARS is that the tool transforms all datasets behind the scenes

  9. Web-based 2-d Visualization with Large Datasets

    NASA Astrophysics Data System (ADS)

    Goldina, T.; Roby, W.; Wu, X.; Ly, L.

    2015-09-01

    Modern astronomical surveys produce large catalogs. Modern archives are web-based. As the science becomes more and more data driven, the pressure on visualization tools to support large datasets increases. While tables can render one page at a time, image overlays showing the returned catalog entries or XY plots showing the relationship between table columns must cover all of the rows to be meaningful. The large data set could easily overwhelm the browsers capabilities. Therefore the amount of data to be transported or rendered must be reduced. IRSA's catalog visualization is based on Firefly package, developed in IPAC (Roby 2013). Firefly is used by multiple web-based tools and archives, maintained by IRSA: Catalog Search, Spitzer, WISE, Plank, etc. Its distinctive feature is the tri-view: table, image overlay, and XY plot. All three highly interactive components are integrated together. The tri-view presentation allows an astronomer to dissect a dataset in various ways and to detect underlying structure and anomalies in the data, which makes it a handy tool for data exploration. Many challenges are encountered when only a subset of data is used in place of the full data set. Preserving coherence and maintaining the ability to select and filter data become issues. This talk addresses how we have solved problems in large dataset visualization.

  10. New public dataset for spotting patterns in medieval document images

    NASA Astrophysics Data System (ADS)

    En, Sovann; Nicolas, Stéphane; Petitjean, Caroline; Jurie, Frédéric; Heutte, Laurent

    2017-01-01

    With advances in technology, a large part of our cultural heritage is becoming digitally available. In particular, in the field of historical document image analysis, there is now a growing need for indexing and data mining tools, thus allowing us to spot and retrieve the occurrences of an object of interest, called a pattern, in a large database of document images. Patterns may present some variability in terms of color, shape, or context, making the spotting of patterns a challenging task. Pattern spotting is a relatively new field of research, still hampered by the lack of available annotated resources. We present a new publicly available dataset named DocExplore dedicated to spotting patterns in historical document images. The dataset contains 1500 images and 1464 queries, and allows the evaluation of two tasks: image retrieval and pattern localization. A standardized benchmark protocol along with ad hoc metrics is provided for a fair comparison of the submitted approaches. We also provide some first results obtained with our baseline system on this new dataset, which show that there is room for improvement and that should encourage researchers of the document image analysis community to design new systems and submit improved results.

  11. Geologic exploration of Mars

    NASA Technical Reports Server (NTRS)

    Plescia, J. B.

    1990-01-01

    The scientific objectives and methods involved in a geologic exploration of Mars from a manned outpost are discussed. The constraints on outpost activities imposed by the limited crew size, limited amount of time available for science, the limited diversity of scientific expertise, and the competition between scientific disciplines are addressed. Three examples of possible outpost locations are examined: the Olympus Mons aureole, Mangala Valles/Daedalia Planum, and Candor Chasma. The geologic work that could be done at each site is pointed out.

  12. Scientific Software

    NASA Technical Reports Server (NTRS)

    1995-01-01

    The Interactive Data Language (IDL), developed by Research Systems, Inc., is a tool for scientists to investigate their data without having to write a custom program for each study. IDL is based on the Mariners Mars spectral Editor (MMED) developed for studies from NASA's Mars spacecraft flights. The company has also developed Environment for Visualizing Images (ENVI), an image processing system for easily analyzing remotely sensed data written in IDL. The Visible Human CD, another Research Systems product, is the first complete digital reference of photographic images for exploring human anatomy.

  13. BMDExpress Data Viewer - a visualization tool to analyze BMDExpress datasets.

    PubMed

    Kuo, Byron; Francina Webster, A; Thomas, Russell S; Yauk, Carole L

    2016-08-01

    Regulatory agencies increasingly apply benchmark dose (BMD) modeling to determine points of departure for risk assessment. BMDExpress applies BMD modeling to transcriptomic datasets to identify transcriptional BMDs. However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer (http://apps.sciome.com:8082/BMDX_Viewer/), for visualizing and graphing BMDExpress output files. The application consists of "Summary Visualization" and "Dataset Exploratory" tools. Through analysis of transcriptomic datasets of the toxicants furan and 4,4'-methylenebis(N,N-dimethyl)benzenamine, we demonstrate that the "Summary Visualization Tools" can be used to examine distributions of gene and pathway BMD values, and to derive a potential point of departure value based on summary statistics. By applying filters on enrichment P-values and minimum number of significant genes, the "Functional Enrichment Analysis" tool enables the user to select biological processes or pathways that are selectively perturbed by chemical exposure and identify the related BMD. The "Multiple Dataset Comparison" tool enables comparison of gene and pathway BMD values across multiple experiments (e.g., across timepoints or tissues). The "BMDL-BMD Range Plotter" tool facilitates the observation of BMD trends across biological processes or pathways. Through our case studies, we demonstrate that BMDExpress Data Viewer is a useful tool to visualize, explore and analyze BMDExpress output files. Visualizing the data in this manner enables rapid assessment of data quality, model fit, doses of peak activity, most sensitive pathway perturbations and other metrics that will be useful in applying toxicogenomics in risk assessment. © 2015 Her Majesty the Queen in Right of Canada. Journal of Applied Toxicology published by John Wiley & Sons, Ltd.

  14. Development of a video tampering dataset for forensic investigation.

    PubMed

    Ismael Al-Sanjary, Omar; Ahmed, Ahmed Abdullah; Sulong, Ghazali

    2016-09-01

    Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author's knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy-move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280×720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720p(HD).avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy-move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers.

  15. 'El Capitan's' Scientific Gems

    NASA Technical Reports Server (NTRS)

    2004-01-01

    This mosaic of images taken by the panoramic camera onboard the Mars Exploration Rover Opportunity shows the rock region dubbed 'El Capitan,' which lies within the larger outcrop near the rover's landing site. 'El Capitan' is being studied in great detail using the scientific instruments on the rover's arm; images from the panoramic camera help scientists choose the locations for this compositional work. The millimeter-scale detail of the lamination covering these rocks can be seen. The face of the rock to the right of the mosaic may be a future target for grinding with the rover's rock abrasion tool.

  16. Harvard Aging Brain Study: Dataset and accessibility.

    PubMed

    Dagley, Alexander; LaPoint, Molly; Huijbers, Willem; Hedden, Trey; McLaren, Donald G; Chatwal, Jasmeer P; Papp, Kathryn V; Amariglio, Rebecca E; Blacker, Deborah; Rentz, Dorene M; Johnson, Keith A; Sperling, Reisa A; Schultz, Aaron P

    2017-01-01

    The Harvard Aging Brain Study is sharing its data with the global research community. The longitudinal dataset consists of a 284-subject cohort with the following modalities acquired: demographics, clinical assessment, comprehensive neuropsychological testing, clinical biomarkers, and neuroimaging. To promote more extensive analyses, imaging data was designed to be compatible with other publicly available datasets. A cloud-based system enables access to interested researchers with blinded data available contingent upon completion of a data usage agreement and administrative approval. Data collection is ongoing and currently in its fifth year.

  17. Visualization of Multi-dimensional MISR Datasets Using Self-Organizing Map

    NASA Astrophysics Data System (ADS)

    Li, P.; Jacob, J.; Braverman, A.; Block, G.

    2003-12-01

    addition, SOM_VIS allows users to interactively select an input vector, relate it to its corresponding SOM vector or location in color space, and plot it in 36 dimensions along with its corresponding SOM vector and Euclidean distances between the two. In this presentation, we report results of our exploration of selected MISR datasets using SOM_VIS. Early experience shows that SOM_VIS is not only able to extract features common to channels, but also can identify subtle differences among channels or signals only visible in a few channels. We also present some quantitative performance measures comparing the SOM algorithm to other traditional clustering algorithms. [1] A. Todd & M. Kirby, "Data Visualization via Structured Voronoi Cell Refinement", SIAM Workshop on Mining Scientific Datasets, p.45-52, April 2001

  18. Exploitation of a large COSMO-SkyMed interferometric dataset

    NASA Astrophysics Data System (ADS)

    Nutricato, Raffaele; Nitti, Davide O.; Bovenga, Fabio; Refice, Alberto; Chiaradia, Maria T.

    2014-10-01

    In this work we explored a dataset made by more than 100 images acquired by COSMO-SkyMed (CSK) constellation over the Port-au-Prince (Haiti) metropolitan and surrounding areas that were severely hit by the January 12th, 2010 earthquake. The images were acquired along ascending pass by all the four sensors of the constellation with a mean rate of 1 acquisition/week. This consistent CSK dataset was fully exploited by using the Persistent Scatterer Interferometry algorithm SPINUA with the aim of: i) providing a displacement map of the area; ii) assessing the use of CSK and PSI for ground elevation measurements; iii) exploring the CSK satellite orbital tube in terms of both precision and size. In particular, significant subsidence phenomena were detected affecting river deltas and coastal areas of the Port-au-Prince and Carrefour region, as well as very slow slope movements and local ground instabilities. Ground elevation was also measured on PS targets with resolution of 3m. The density of these measurable targets depends on the ground coverage, and reaches values higher than 4000 PS/km2 over urban areas, while it drops over vegetated areas or along slopes affected by layover and shadow. Heights values were compared with LIDAR data at 1m of resolution collected soon after the 2010 earthquake. Furthermore, by using geocoding procedures and the precise LIDAR data as reference, the orbital errors affecting CSK records were investigated. The results are in line with other recent studies.

  19. Thesaurus Dataset of Educational Technology in Chinese

    ERIC Educational Resources Information Center

    Wu, Linjing; Liu, Qingtang; Zhao, Gang; Huang, Huan; Huang, Tao

    2015-01-01

    The thesaurus dataset of educational technology is a knowledge description of educational technology in Chinese. The aims of this thesaurus were to collect the subject terms in the domain of educational technology, facilitate the standardization of terminology and promote the communication between Chinese researchers and scholars from various…

  20. Future weather dataset for fourteen UK sites.

    PubMed

    Liu, Chunde

    2016-09-01

    This Future weather dataset is used for assessing the risk of overheating and thermal discomfort or heat stress in the free running buildings. The weather files are in the format of .epw which can be used in the building simulation packages such as EnergyPlus, DesignBuilder, IES, etc.

  1. Lakatos' Scientific Research Programmes as a Framework for Analysing Informal Argumentation about Socio-Scientific Issues

    ERIC Educational Resources Information Center

    Chang, Shu-Nu; Chiu, Mei-Hung

    2008-01-01

    The purpose of this study is to explore how Lakatos' scientific research programmes might serve as a theoretical framework for representing and evaluating informal argumentation about socio-scientific issues. Seventy undergraduate science and non-science majors were asked to make written arguments about four socio-scientific issues. Our analysis…

  2. Fairness in scientific publishing

    PubMed Central

    Matthews, Philippa C.

    2017-01-01

    Major changes are afoot in the world of academic publishing, exemplified by innovations in publishing platforms, new approaches to metrics, improvements in our approach to peer review, and a focus on developing and encouraging open access to scientific literature and data. The FAIR acronym recommends that authors and publishers should aim to make their output Findable, Accessible, Interoperable and Reusable. In this opinion article, I explore the parallel view that we should take a collective stance on making the dissemination of scientific data fair in the conventional sense, by being mindful of equity and justice for patients, clinicians, academics, publishers, funders and academic institutions. The views I represent are founded on oral and written dialogue with clinicians, academics and the publishing industry. Further progress is needed to improve collaboration and dialogue between these groups, to reduce misinterpretation of metrics, to minimise inequity that arises as a consequence of geographic setting, to improve economic sustainability, and to broaden the spectrum, scope, and diversity of scientific publication. PMID:28163900

  3. Interpolation of diffusion weighted imaging datasets.

    PubMed

    Dyrby, Tim B; Lundell, Henrik; Burke, Mark W; Reislev, Nina L; Paulson, Olaf B; Ptito, Maurice; Siebner, Hartwig R

    2014-12-01

    Diffusion weighted imaging (DWI) is used to study white-matter fibre organisation, orientation and structural connectivity by means of fibre reconstruction algorithms and tractography. For clinical settings, limited scan time compromises the possibilities to achieve high image resolution for finer anatomical details and signal-to-noise-ratio for reliable fibre reconstruction. We assessed the potential benefits of interpolating DWI datasets to a higher image resolution before fibre reconstruction using a diffusion tensor model. Simulations of straight and curved crossing tracts smaller than or equal to the voxel size showed that conventional higher-order interpolation methods improved the geometrical representation of white-matter tracts with reduced partial-volume-effect (PVE), except at tract boundaries. Simulations and interpolation of ex-vivo monkey brain DWI datasets revealed that conventional interpolation methods fail to disentangle fine anatomical details if PVE is too pronounced in the original data. As for validation we used ex-vivo DWI datasets acquired at various image resolutions as well as Nissl-stained sections. Increasing the image resolution by a factor of eight yielded finer geometrical resolution and more anatomical details in complex regions such as tract boundaries and cortical layers, which are normally only visualized at higher image resolutions. Similar results were found with typical clinical human DWI dataset. However, a possible bias in quantitative values imposed by the interpolation method used should be considered. The results indicate that conventional interpolation methods can be successfully applied to DWI datasets for mining anatomical details that are normally seen only at higher resolutions, which will aid in tractography and microstructural mapping of tissue compartments.

  4. Comparison of IGBP DISCover land cover dataset with a land cover dataset in China

    NASA Astrophysics Data System (ADS)

    Chen, Hua; Zhuang, Dafang

    2004-09-01

    Land cover information is important for the study of physical, chemical, biological and anthropological process on the surface of earth. Remote sensing data has been used to produce the land cover map by visual interpretation or automatic classification method in the past years. IGBP DISCover land cover dataset is a global land cover dataset based on remote sensing method in recent years. Firstly, we present a method to compare different land cover dataset based on invariant reliable land unit. Secondly, we compare IGBP Discover land cover dataset with Chinese land cover dataset. Finally, we analyze the possible reasons impacting the differences among the land cover classifications. The comparison results show that most of the land surface in China was identified as different types in those two datasets. For example, 63.7% of the deciduous needleleaf forest units in CLCD are mapped to the mixed forest by IDLCD. The different classification scheme and method used in these datasets are most likely the reasons to explain the differences between them.

  5. Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation

    PubMed Central

    Liu, Qian; Pineda-García, Garibaldi; Stromatias, Evangelos; Serrano-Gotarredona, Teresa; Furber, Steve B.

    2016-01-01

    Today, increasing attention is being paid to research into spike-based neural computation both to gain a better understanding of the brain and to explore biologically-inspired computation. Within this field, the primate visual pathway and its hierarchical organization have been extensively studied. Spiking Neural Networks (SNNs), inspired by the understanding of observed biological structure and function, have been successfully applied to visual recognition and classification tasks. In addition, implementations on neuromorphic hardware have enabled large-scale networks to run in (or even faster than) real time, making spike-based neural vision processing accessible on mobile robots. Neuromorphic sensors such as silicon retinas are able to feed such mobile systems with real-time visual stimuli. A new set of vision benchmarks for spike-based neural processing are now needed to measure progress quantitatively within this rapidly advancing field. We propose that a large dataset of spike-based visual stimuli is needed to provide meaningful comparisons between different systems, and a corresponding evaluation methodology is also required to measure the performance of SNN models and their hardware implementations. In this paper we first propose an initial NE (Neuromorphic Engineering) dataset based on standard computer vision benchmarksand that uses digits from the MNIST database. This dataset is compatible with the state of current research on spike-based image recognition. The corresponding spike trains are produced using a range of techniques: rate-based Poisson spike generation, rank order encoding, and recorded output from a silicon retina with both flashing and oscillating input stimuli. In addition, a complementary evaluation methodology is presented to assess both model-level and hardware-level performance. Finally, we demonstrate the use of the dataset and the evaluation methodology using two SNN models to validate the performance of the models and their hardware

  6. Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation.

    PubMed

    Liu, Qian; Pineda-García, Garibaldi; Stromatias, Evangelos; Serrano-Gotarredona, Teresa; Furber, Steve B

    2016-01-01

    Today, increasing attention is being paid to research into spike-based neural computation both to gain a better understanding of the brain and to explore biologically-inspired computation. Within this field, the primate visual pathway and its hierarchical organization have been extensively studied. Spiking Neural Networks (SNNs), inspired by the understanding of observed biological structure and function, have been successfully applied to visual recognition and classification tasks. In addition, implementations on neuromorphic hardware have enabled large-scale networks to run in (or even faster than) real time, making spike-based neural vision processing accessible on mobile robots. Neuromorphic sensors such as silicon retinas are able to feed such mobile systems with real-time visual stimuli. A new set of vision benchmarks for spike-based neural processing are now needed to measure progress quantitatively within this rapidly advancing field. We propose that a large dataset of spike-based visual stimuli is needed to provide meaningful comparisons between different systems, and a corresponding evaluation methodology is also required to measure the performance of SNN models and their hardware implementations. In this paper we first propose an initial NE (Neuromorphic Engineering) dataset based on standard computer vision benchmarksand that uses digits from the MNIST database. This dataset is compatible with the state of current research on spike-based image recognition. The corresponding spike trains are produced using a range of techniques: rate-based Poisson spike generation, rank order encoding, and recorded output from a silicon retina with both flashing and oscillating input stimuli. In addition, a complementary evaluation methodology is presented to assess both model-level and hardware-level performance. Finally, we demonstrate the use of the dataset and the evaluation methodology using two SNN models to validate the performance of the models and their hardware

  7. Agile data management for curation of genomes to watershed datasets

    NASA Astrophysics Data System (ADS)

    Varadharajan, C.; Agarwal, D.; Faybishenko, B.; Versteeg, R.

    2015-12-01

    A software platform is being developed for data management and assimilation [DMA] as part of the U.S. Department of Energy's Genomes to Watershed Sustainable Systems Science Focus Area 2.0. The DMA components and capabilities are driven by the project science priorities and the development is based on agile development techniques. The goal of the DMA software platform is to enable users to integrate and synthesize diverse and disparate field, laboratory, and simulation datasets, including geological, geochemical, geophysical, microbiological, hydrological, and meteorological data across a range of spatial and temporal scales. The DMA objectives are (a) developing an integrated interface to the datasets, (b) storing field monitoring data, laboratory analytical results of water and sediments samples collected into a database, (c) providing automated QA/QC analysis of data and (d) working with data providers to modify high-priority field and laboratory data collection and reporting procedures as needed. The first three objectives are driven by user needs, while the last objective is driven by data management needs. The project needs and priorities are reassessed regularly with the users. After each user session we identify development priorities to match the identified user priorities. For instance, data QA/QC and collection activities have focused on the data and products needed for on-going scientific analyses (e.g. water level and geochemistry). We have also developed, tested and released a broker and portal that integrates diverse datasets from two different databases used for curation of project data. The development of the user interface was based on a user-centered design process involving several user interviews and constant interaction with data providers. The initial version focuses on the most requested feature - i.e. finding the data needed for analyses through an intuitive interface. Once the data is found, the user can immediately plot and download data

  8. Provenance of Earth Science Datasets - How Deep Should One Go?

    NASA Astrophysics Data System (ADS)

    Ramapriyan, H.; Manipon, G. J. M.; Aulenbach, S.; Duggan, B.; Goldstein, J.; Hua, H.; Tan, D.; Tilmes, C.; Wilson, B. D.; Wolfe, R.; Zednik, S.

    2015-12-01

    For credibility of scientific research, transparency and reproducibility are essential. This fundamental tenet has been emphasized for centuries, and has been receiving increased attention in recent years. The Office of Management and Budget (2002) addressed reproducibility and other aspects of quality and utility of information from federal agencies. Specific guidelines from NASA (2002) are derived from the above. According to these guidelines, "NASA requires a higher standard of quality for information that is considered influential. Influential scientific, financial, or statistical information is defined as NASA information that, when disseminated, will have or does have clear and substantial impact on important public policies or important private sector decisions." For information to be compliant, "the information must be transparent and reproducible to the greatest possible extent." We present how the principles of transparency and reproducibility have been applied to NASA data supporting the Third National Climate Assessment (NCA3). The depth of trace needed of provenance of data used to derive conclusions in NCA3 depends on how the data were used (e.g., qualitatively or quantitatively). Given that the information is diligently maintained in the agency archives, it is possible to trace from a figure in the publication through the datasets, specific files, algorithm versions, instruments used for data collection, and satellites, as well as the individuals and organizations involved in each step. Such trace back permits transparency and reproducibility.

  9. Method of generating features optimal to a dataset and classifier

    DOEpatents

    Bruillard, Paul J.; Gosink, Luke J.; Jarman, Kenneth D.

    2016-10-18

    A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.

  10. Assessing quality standards for ChIP-seq and related massive parallel sequencing-generated datasets: When rating goes beyond avoiding the crisis.

    PubMed

    Mendoza-Parra, Marco Antonio; Gronemeyer, Hinrich

    2014-12-01

    Massive parallel DNA sequencing combined with chromatin immunoprecipitation and a large variety of DNA/RNA-enrichment methodologies is at the origin of data resources of major importance. Indeed these resources, available for multiple genomes, represent the most comprehensive catalogue of (i) cell, development and signal transduction-specified patterns of binding sites for transcription factors ('cistromes') and for transcription and chromatin modifying machineries and (ii) the patterns of specific local post-translational modifications of histones and DNA ('epigenome') or of regulatory chromatin binding factors. In addition, (iii) the resources specifying chromatin structure alterations are emerging. Importantly, these types of "omics" datasets populate increasingly public repositories and provide highly valuable resources for the exploration of general principles of cell function in a multi-dimensional genome-transcriptome-epigenome-chromatin structure context. However, data mining is critically dependent on the data quality, an issue that, surprisingly, is still largely ignored by scientists and well-financed consortia, data repositories and scientific journals. So what determines the quality of ChIP-seq experiments and the datasets generated therefrom and what refrains scientists from associating quality criteria to their data? In this 'opinion' we trace the various parameters that influence the quality of this type of datasets, as well as the computational efforts that were made until now to qualify them. Moreover, we describe a universal quality control (QC) certification approach that provides a quality rating for ChIP-seq and enrichment-related assays. The corresponding QC tool and a regularly updated database, from which at present the quality parameters of more than 8000 datasets can be retrieved, are freely accessible at www.ngs-qc.org.

  11. Global Precipitation Measurement: Methods, Datasets and Applications

    NASA Technical Reports Server (NTRS)

    Tapiador, Francisco; Turk, Francis J.; Petersen, Walt; Hou, Arthur Y.; Garcia-Ortega, Eduardo; Machado, Luiz, A. T.; Angelis, Carlos F.; Salio, Paola; Kidd, Chris; Huffman, George J.; De Castro, Manuel

    2011-01-01

    This paper reviews the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases. The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used.

  12. The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration

    PubMed Central

    2014-01-01

    Background In many experimental pipelines, clustering of multidimensional biological datasets is used to detect hidden structures in unlabelled input data. Taverna is a popular workflow management system that is used to design and execute scientific workflows and aid in silico experimentation. The availability of fast unsupervised methods for clustering and visualization in the Taverna platform is important to support a data-driven scientific discovery in complex and explorative bioinformatics applications. Results This work presents a Taverna plugin, the Biological Data Interactive Clustering Explorer (BioDICE), that performs clustering of high-dimensional biological data and provides a nonlinear, topology preserving projection for the visualization of the input data and their similarities. The core algorithm in the BioDICE plugin is Fast Learning Self Organizing Map (FLSOM), which is an improved variant of the Self Organizing Map (SOM) algorithm. The plugin generates an interactive 2D map that allows the visual exploration of multidimensional data and the identification of groups of similar objects. The effectiveness of the plugin is demonstrated on a case study related to chemical compounds. Conclusions The number and variety of available tools and its extensibility have made Taverna a popular choice for the development of scientific data workflows. This work presents a novel plugin, BioDICE, which adds a data-driven knowledge discovery component to Taverna. BioDICE provides an effective and powerful clustering tool, which can be adopted for the explorative analysis of biological datasets.

  13. Confronting reanalysis datasets with independent radiosonde observations

    NASA Astrophysics Data System (ADS)

    Marlton, Graeme; Harrison, Giles; Williams, Paul; Nicoll, Keri

    2014-05-01

    Reanalysis datasets are used for a broad range of research purposes in the atmospheric sciences, from studying climate change to examining extreme rainfall events. However, it is often difficult to verify the quality of such datasets, because verification requires the reanalysis data to be confronted with high-quality independent (i.e. unassimilated) observations, which are rare. We have been launching calibrated Vaisala RS92 radiosondes from the University of Reading, UK for the past three years. None of the data from these launches has been assimilated into any forecasts or reanalysis products. The sondes have random ascent trajectories over southern England, making them ideal to cross check the accuracy of the reanalysis data in this region. In this study, our radiosonde observations of temperature, relative humidity, specific humidity, zonal wind, meridional wind, and pressure surface height are compared with the corresponding data from two widely used reanalysis datasets: ERA-Interim and NCEP. The comparison was done at grid points and pressure levels given by the radiosonde's telemetry data. The temperatures, horizontal winds, and pressure surface heights from the reanalysis datasets show excellent agreement with the radiosonde observations. Values of the specific humidity show reasonable agreement, but values of the relative humidity show poor agreement. The stated error tolerance of the radiosonde's humidity sensors is too small to account for the poor correlation in these results. We conclude that, although reanalysis estimates of temperature and wind may be taken to be representative of the values locally within the reanalysis grid box, values of relative humidity may not. Therefore, in studies of local hydrology, reanalysis humidity data must be used with caution.

  14. Haplotype estimation for biobank scale datasets

    PubMed Central

    O’Connell, Jared; Sharp, Kevin; Shrine, Nick; Wain, Louise; Hall, Ian; Tobin, Martin; Zagury, Jean-Francois; Delaneau, Olivier; Marchini, Jonathan

    2016-01-01

    The UK Biobank (UKB) has recently released genotypes on 152,328 individuals together with extensive phenotypic and lifestyle information. We present a new phasing method SHAPEIT3 that can handle such biobank scale datasets and results in switch error rates as low as ~0.3%. The method exhibits O(NlogN) scaling in sample size (N), enabling fast and accurate phasing of even larger cohorts. PMID:27270105

  15. Evaluating AEROCOM Models with Remote Sensing Datasets

    NASA Astrophysics Data System (ADS)

    Schutgens, N.; Gryspeerdt, E.; Weigum, N.; Veira, A.; Partridge, D.; Stier, P.

    2014-12-01

    We present an in-depth evaluation of AEROCOM models with a variety of remote sensing datasets: MODIS AOT (& AE over ocean), AERONET, AOT, AE & SSA and Maritime Aerosol Network (MAN) AOT & AE. Together these datasets provide extensive global and temporal coverage and measure both extensive (AOT) as well as intensive aerosol properties (AE & SSA). Models and observations differ strongly in their spatio-temporal sampling. Model results are typical of large gridboxes (100 by 100 km), while observations are made over much smaller areas (10 by 10 km for MODIS, even smaller for AERONET and MAN). Model results are always available in contrast to observations that are intermittent due to orbital constraints, retrieval limitations and instrument failure/maintenance. We find that differences in AOT due to sampling effects can be 100% for instantaneous values and can still be 40% for monthly or yearly averages. Such differences are comparable to or larger than typical retrieval errors in the observations. We propose strategies (temporal colocation, spatial aggregation) for reducing these sampling errors Finally, we evaluate one year of co-located AOT, AE and SSA from several AEROCOM models against MODIS, AERONET and MAN observations. Where the observational datasets overlap, they give similar results but in general they allow us to evaluate models in very different spatio-temporal domains. We show that even small datasets like MAN AOT or AERONET SSA, provide a useful standard for evaluating models thanks to temporal colocation. The models differ quite a bit from the observations and each model differs in its own way. These results are presented through global maps of yearly averaged differences, time-series of modelled and observed data, scatter plots of correlations among observables (e.g. SSA vs AE) and Taylor diagrams. In particular, we find that the AEROCOM emissions substantially underestimate wildfire emissions and that many models have aerosol that is too absorbing.

  16. Dataset Curation through Renders and Ontology Matching

    DTIC Science & Technology

    2015-09-01

    only of a machine learning hacker, but also those of natural language analysis, human computer interaction, library studies, behavioral economics...representation for a task. Similar to a human in a country in which she does not know the language , it has done the best it can – learn that some words are...benefits of automated labeled dataset creation for fine-grained visual learning tasks. Specifically, we show that utilizing real-world, non-image

  17. Data Assimilation and Model Evaluation Experiment Datasets.

    NASA Astrophysics Data System (ADS)

    Lai, Chung-Chieng A.; Qian, Wen; Glenn, Scott M.

    1994-05-01

    The Institute for Naval Oceanography, in cooperation with Naval Research Laboratories and universities, executed the Data Assimilation and Model Evaluation Experiment (DAMÉE) for the Gulf Stream region during fiscal years 1991-1993. Enormous effort has gone into the preparation of several high-quality and consistent datasets for model initialization and verification. This paper describes the preparation process, the temporal and spatial scopes, the contents, the structure, etc., of these datasets.The goal of DAMEE and the need of data for the four phases of experiment are briefly stated. The preparation of DAMEE datasets consisted of a series of processes: 1)collection of observational data; 2) analysis and interpretation; 3) interpolation using the Optimum Thermal Interpolation System package; 4) quality control and re-analysis; and 5) data archiving and software documentation.The data products from these processes included a time series of 3D fields of temperature and salinity, 2D fields of surface dynamic height and mixed-layer depth, analysis of the Gulf Stream and rings system, and bathythermograph profiles. To date, these are the most detailed and high-quality data for mesoscale ocean modeling, data assimilation, and forecasting research. Feedback from ocean modeling groups who tested this data was incorporated into its refinement.Suggestions for DAMEE data usages include 1) ocean modeling and data assimilation studies, 2) diagnosis and theorectical studies, and 3) comparisons with locally detailed observations.

  18. Data assimilation and model evaluation experiment datasets

    NASA Technical Reports Server (NTRS)

    Lai, Chung-Cheng A.; Qian, Wen; Glenn, Scott M.

    1994-01-01

    The Institute for Naval Oceanography, in cooperation with Naval Research Laboratories and universities, executed the Data Assimilation and Model Evaluation Experiment (DAMEE) for the Gulf Stream region during fiscal years 1991-1993. Enormous effort has gone into the preparation of several high-quality and consistent datasets for model initialization and verification. This paper describes the preparation process, the temporal and spatial scopes, the contents, the structure, etc., of these datasets. The goal of DAMEE and the need of data for the four phases of experiment are briefly stated. The preparation of DAMEE datasets consisted of a series of processes: (1) collection of observational data; (2) analysis and interpretation; (3) interpolation using the Optimum Thermal Interpolation System package; (4) quality control and re-analysis; and (5) data archiving and software documentation. The data products from these processes included a time series of 3D fields of temperature and salinity, 2D fields of surface dynamic height and mixed-layer depth, analysis of the Gulf Stream and rings system, and bathythermograph profiles. To date, these are the most detailed and high-quality data for mesoscale ocean modeling, data assimilation, and forecasting research. Feedback from ocean modeling groups who tested this data was incorporated into its refinement. Suggestions for DAMEE data usages include (1) ocean modeling and data assimilation studies, (2) diagnosis and theoretical studies, and (3) comparisons with locally detailed observations.

  19. First observations using SPICE hyperspectral dataset

    NASA Astrophysics Data System (ADS)

    Rosario, Dalton; Romano, Joao; Borel, Christoph

    2014-06-01

    Our first observations using the longwave infrared (LWIR) hyperspectral data subset of the Spectral and Polarimetric Imagery Collection Experiment (SPICE) database are summarized in this paper, focusing on the inherent challenges associated with using this sensing modality for the purpose of object pattern recognition. Emphases are also put on data quality, qualitative validation of expected atmospheric spectral features, and qualitative comparison against another dataset of the same site using a different LWIR hyperspectral sensor. SPICE is a collaborative effort between the Army Research Laboratory, U.S. Army Armament RDEC, and more recently the Air Force Institute of Technology. It focuses on the collection and exploitation of longwave and midwave infrared (LWIR and MWIR) hyperspectral and polarimetric imagery. We concluded from this work that the quality of SPICE hyperspectral LWIR data is categorically comparable to other datasets recorded by a different sensor of similar specs; and adequate for algorithm research, given the scope of SPICE. The scope was to conduct a long-term infrared data collection of the same site with targets, using both sensing modalities, under various weather and non-ideal conditions. Then use the vast dataset and associated ground truth information to assess performance of the state of the art algorithms, while determining performance degradation sources. The expectation is that results from these assessments will spur new algorithmic ideas with the potential to augment pattern recognition performance in remote sensing applications. Over time, we are confident the SPICE database will prove to be an asset to the wide open remote sensing community.

  20. Fragment Prioritization on a Large Mutagenicity Dataset.

    PubMed

    Floris, Matteo; Raitano, Giuseppa; Medda, Ricardo; Benfenati, Emilio

    2016-12-29

    The identification of structural alerts is one of the simplest tools used for the identification of potentially toxic chemical compounds. Structural alerts have served as an aid to quickly identify chemicals that should be either prioritized for testing or for elimination from further consideration and use. In the recent years, the availability of larger datasets, often growing in the context of collaborative efforts and competitions, created the raw material needed to identify new and more accurate structural alerts. This work applied a method to efficiently mine large toxicological dataset for structural alert showing a strong statistical association with mutagenicity. In details, we processed a large Ames mutagenicity dataset comprising 14,015 unique molecules obtained by joining different data sources. After correction for multiple testing, we were able to assign a probability value to each fragment. A total of 51 rules were identified, with p-value < 0.05. Using the same method, we also confirmed the statistical significance of several mutagenicity rules already present and largely recognized in the literature. In addition, we have extended the application of our method by predicting the mutagenicity of an external data set.

  1. The Problem with Big Data: Operating on Smaller Datasets to Bridge the Implementation Gap

    PubMed Central

    Mann, Richard P.; Mushtaq, Faisal; White, Alan D.; Mata-Cervantes, Gabriel; Pike, Tom; Coker, Dalton; Murdoch, Stuart; Hiles, Tim; Smith, Clare; Berridge, David; Hinchliffe, Suzanne; Hall, Geoff; Smye, Stephen; Wilkie, Richard M.; Lodge, J. Peter A.; Mon-Williams, Mark

    2016-01-01

    Big datasets have the potential to revolutionize public health. However, there is a mismatch between the political and scientific optimism surrounding big data and the public’s perception of its benefit. We suggest a systematic and concerted emphasis on developing models derived from smaller datasets to illustrate to the public how big data can produce tangible benefits in the long term. In order to highlight the immediate value of a small data approach, we produced a proof-of-concept model predicting hospital length of stay. The results demonstrate that existing small datasets can be used to create models that generate a reasonable prediction, facilitating health-care delivery. We propose that greater attention (and funding) needs to be directed toward the utilization of existing information resources in parallel with current efforts to create and exploit “big data.” PMID:27990415

  2. The Problem with Big Data: Operating on Smaller Datasets to Bridge the Implementation Gap.

    PubMed

    Mann, Richard P; Mushtaq, Faisal; White, Alan D; Mata-Cervantes, Gabriel; Pike, Tom; Coker, Dalton; Murdoch, Stuart; Hiles, Tim; Smith, Clare; Berridge, David; Hinchliffe, Suzanne; Hall, Geoff; Smye, Stephen; Wilkie, Richard M; Lodge, J Peter A; Mon-Williams, Mark

    2016-01-01

    Big datasets have the potential to revolutionize public health. However, there is a mismatch between the political and scientific optimism surrounding big data and the public's perception of its benefit. We suggest a systematic and concerted emphasis on developing models derived from smaller datasets to illustrate to the public how big data can produce tangible benefits in the long term. In order to highlight the immediate value of a small data approach, we produced a proof-of-concept model predicting hospital length of stay. The results demonstrate that existing small datasets can be used to create models that generate a reasonable prediction, facilitating health-care delivery. We propose that greater attention (and funding) needs to be directed toward the utilization of existing information resources in parallel with current efforts to create and exploit "big data."

  3. Spatially-based quality control for daily precipitation datasets

    NASA Astrophysics Data System (ADS)

    Serrano-Notivoli, Roberto; de Luis, Martín; Beguería, Santiago; Ángel Saz, Miguel

    2016-04-01

    There are many reasons why wrong data can appear in original precipitation datasets but their common characteristic is that all of them do not correspond to the natural variability of the climate variable. For this reason, is necessary a comprehensive analysis of the data of each station in each day, to be certain that the final dataset will be consistent and reliable. Most of quality control techniques applied over daily precipitation are based on the comparison of each observed value with the rest of values in same series or in reference series built from its nearest stations. These methods are inherited from monthly precipitation studies, but in daily scale the variability is bigger and the methods have to be different. A common character shared by all of these approaches is that they made reconstructions based on the best-correlated reference series, which could be a biased decision because, for example, a extreme precipitation occurred in one day in more than one station could be flagged as erroneous. We propose a method based on the specific conditions of the day and location to determine the reliability of each observation. This method keeps the local variance of the variable and the time-structure independence. To do that, individually for each daily value, we first compute the probability of precipitation occurrence through a multivariate logistic regression using the 10 nearest observations in a binomial mode (0=dry; 1=wet), this produces a binomial prediction (PB) between 0 and 1. Then, we compute a prediction of precipitation magnitude (PM) with the raw data of the same 10 nearest observations. Through these predictions we explore the original data in each day and location by five criteria: 1) Suspect data; 2) Suspect zero; 3) Suspect outlier; 4) Suspect wet and 5) Suspect dry. Tests over different datasets addressed that flagged data depend mainly on the number of available data and the homogeneous distribution of them.

  4. Quantifying uncertainty in observational rainfall datasets

    NASA Astrophysics Data System (ADS)

    Lennard, Chris; Dosio, Alessandro; Nikulin, Grigory; Pinto, Izidine; Seid, Hussen

    2015-04-01

    The CO-ordinated Regional Downscaling Experiment (CORDEX) has to date seen the publication of at least ten journal papers that examine the African domain during 2012 and 2013. Five of these papers consider Africa generally (Nikulin et al. 2012, Kim et al. 2013, Hernandes-Dias et al. 2013, Laprise et al. 2013, Panitz et al. 2013) and five have regional foci: Tramblay et al. (2013) on Northern Africa, Mariotti et al. (2014) and Gbobaniyi el al. (2013) on West Africa, Endris et al. (2013) on East Africa and Kalagnoumou et al. (2013) on southern Africa. There also are a further three papers that the authors know about under review. These papers all use an observed rainfall and/or temperature data to evaluate/validate the regional model output and often proceed to assess projected changes in these variables due to climate change in the context of these observations. The most popular reference rainfall data used are the CRU, GPCP, GPCC, TRMM and UDEL datasets. However, as Kalagnoumou et al. (2013) point out there are many other rainfall datasets available for consideration, for example, CMORPH, FEWS, TAMSAT & RIANNAA, TAMORA and the WATCH & WATCH-DEI data. They, with others (Nikulin et al. 2012, Sylla et al. 2012) show that the observed datasets can have a very wide spread at a particular space-time coordinate. As more ground, space and reanalysis-based rainfall products become available, all which use different methods to produce precipitation data, the selection of reference data is becoming an important factor in model evaluation. A number of factors can contribute to a uncertainty in terms of the reliability and validity of the datasets such as radiance conversion algorithims, the quantity and quality of available station data, interpolation techniques and blending methods used to combine satellite and guage based products. However, to date no comprehensive study has been performed to evaluate the uncertainty in these observational datasets. We assess 18 gridded

  5. Collaboration tools and techniques for large model datasets

    USGS Publications Warehouse

    Signell, R.P.; Carniel, S.; Chiggiato, J.; Janekovic, I.; Pullen, J.; Sherwood, C.R.

    2008-01-01

    In MREA and many other marine applications, it is common to have multiple models running with different grids, run by different institutions. Techniques and tools are described for low-bandwidth delivery of data from large multidimensional datasets, such as those from meteorological and oceanographic models, directly into generic analysis and visualization tools. Output is stored using the NetCDF CF Metadata Conventions, and then delivered to collaborators over the web via OPeNDAP. OPeNDAP datasets served by different institutions are then organized via THREDDS catalogs. Tools and procedures are then used which enable scientists to explore data on the original model grids using tools they are familiar with. It is also low-bandwidth, enabling users to extract just the data they require, an important feature for access from ship or remote areas. The entire implementation is simple enough to be handled by modelers working with their webmasters - no advanced programming support is necessary. ?? 2007 Elsevier B.V. All rights reserved.

  6. Geospatial Visualization of Scientific Data Through Keyhole Markup Language

    NASA Astrophysics Data System (ADS)

    Wernecke, J.; Bailey, J. E.

    2008-12-01

    The development of virtual globes has provided a fun and innovative tool for exploring the surface of the Earth. However, it has been the paralleling maturation of Keyhole Markup Language (KML) that has created a new medium and perspective through which to visualize scientific datasets. Originally created by Keyhole Inc., and then acquired by Google in 2004, in 2007 KML was given over to the Open Geospatial Consortium (OGC). It became an OGC international standard on 14 April 2008, and has subsequently been adopted by all major geobrowser developers (e.g., Google, Microsoft, ESRI, NASA) and many smaller ones (e.g., Earthbrowser). By making KML a standard at a relatively young stage in its evolution, developers of the language are seeking to avoid the issues that plagued the early World Wide Web and development of Hypertext Markup Language (HTML). The popularity and utility of Google Earth, in particular, has been enhanced by KML features such as the Smithsonian volcano layer and the dynamic weather layers. Through KML, users can view real-time earthquake locations (USGS), view animations of polar sea-ice coverage (NSIDC), or read about the daily activities of chimpanzees (Jane Goodall Institute). Perhaps even more powerful is the fact that any users can create, edit, and share their own KML, with no or relatively little knowledge of manipulating computer code. We present an overview of the best current scientific uses of KML and a guide to how scientists can learn to use KML themselves.

  7. Scientific Inquiry: A Model for Online Searching.

    ERIC Educational Resources Information Center

    Harter, Stephen P.

    1984-01-01

    Explores scientific inquiry as philosophical and behavioral model for online search specialist and information retrieval process. Nature of scientific research is described and online analogs to research concepts of variable, hypothesis formulation and testing, operational definition, validity, reliability, assumption, and cyclical nature of…

  8. Comparing methods of analysing datasets with small clusters: case studies using four paediatric datasets.

    PubMed

    Marston, Louise; Peacock, Janet L; Yu, Keming; Brocklehurst, Peter; Calvert, Sandra A; Greenough, Anne; Marlow, Neil

    2009-07-01

    Studies of prematurely born infants contain a relatively large percentage of multiple births, so the resulting data have a hierarchical structure with small clusters of size 1, 2 or 3. Ignoring the clustering may lead to incorrect inferences. The aim of this study was to compare statistical methods which can be used to analyse such data: generalised estimating equations, multilevel models, multiple linear regression and logistic regression. Four datasets which differed in total size and in percentage of multiple births (n = 254, multiple 18%; n = 176, multiple 9%; n = 10 098, multiple 3%; n = 1585, multiple 8%) were analysed. With the continuous outcome, two-level models produced similar results in the larger dataset, while generalised least squares multilevel modelling (ML GLS 'xtreg' in Stata) and maximum likelihood multilevel modelling (ML MLE 'xtmixed' in Stata) produced divergent estimates using the smaller dataset. For the dichotomous outcome, most methods, except generalised least squares multilevel modelling (ML GH 'xtlogit' in Stata) gave similar odds ratios and 95% confidence intervals within datasets. For the continuous outcome, our results suggest using multilevel modelling. We conclude that generalised least squares multilevel modelling (ML GLS 'xtreg' in Stata) and maximum likelihood multilevel modelling (ML MLE 'xtmixed' in Stata) should be used with caution when the dataset is small. Where the outcome is dichotomous and there is a relatively large percentage of non-independent data, it is recommended that these are accounted for in analyses using logistic regression with adjusted standard errors or multilevel modelling. If, however, the dataset has a small percentage of clusters greater than size 1 (e.g. a population dataset of children where there are few multiples) there appears to be less need to adjust for clustering.

  9. Chemical datuments as scientific enablers

    PubMed Central

    2013-01-01

    This article is an attempt to construct a chemical datument as a means of presenting insights into chemical phenomena in a scientific journal. An exploration of the interactions present in a small fragment of duplex Z-DNA and the nature of the catalytic centre of a carbon-dioxide/alkene epoxide alternating co-polymerisation is presented in this datument, with examples of the use of three software tools, one based on Java, the other two using Javascript and HTML5 technologies. The implications for the evolution of scientific journals are discussed. PMID:23343381

  10. Chemical datuments as scientific enablers.

    PubMed

    Rzepa, Henry S

    2013-01-23

    This article is an attempt to construct a chemical datument as a means of presenting insights into chemical phenomena in a scientific journal. An exploration of the interactions present in a small fragment of duplex Z-DNA and the nature of the catalytic centre of a carbon-dioxide/alkene epoxide alternating co-polymerisation is presented in this datument, with examples of the use of three software tools, one based on Java, the other two using Javascript and HTML5 technologies. The implications for the evolution of scientific journals are discussed.

  11. Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER

    USGS Publications Warehouse

    Gesch, Dean B.; Oimoen, Michael J.; Evans, Gayla A.

    2014-01-01

    The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the U.S. Geological Survey. The NED provides seamless raster elevation data of the conterminous United States, Alaska, Hawaii, U.S. island territories, Mexico, and Canada. The NED is derived from diverse source datasets that are processed to a specification with consistent resolutions, coordinate system, elevation units, and horizontal and vertical datums. The NED serves as the elevation layer of The National Map, and it provides basic elevation information for earth science studies and mapping applications in the United States and most of North America. An important part of supporting scientific and operational use of the NED is provision of thorough dataset documentation including data quality and accuracy metrics. The focus of this report is on the vertical accuracy of the NED and on comparison of the NED with other similar large-area elevation datasets, namely data from the Shuttle Radar Topography Mission (SRTM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER).

  12. Dishonesty in scientific research

    PubMed Central

    Mazar, Nina; Ariely, Dan

    2015-01-01

    Fraudulent business practices, such as those leading to the Enron scandal and the conviction of Bernard Madoff, evoke a strong sense of public outrage. But fraudulent or dishonest actions are not exclusive to the realm of big corporations or to evil individuals without consciences. Dishonest actions are all too prevalent in everyone’s daily lives, because people are constantly encountering situations in which they can gain advantages by cutting corners. Whether it’s adding a few dollars in value to the stolen items reported on an insurance claim form or dropping outlier data points from a figure to make a paper sound more interesting, dishonesty is part of the human condition. Here, we explore how people rationalize dishonesty, the implications for scientific research, and what can be done to foster a culture of research integrity. PMID:26524587

  13. Dishonesty in scientific research.

    PubMed

    Mazar, Nina; Ariely, Dan

    2015-11-02

    Fraudulent business practices, such as those leading to the Enron scandal and the conviction of Bernard Madoff, evoke a strong sense of public outrage. But fraudulent or dishonest actions are not exclusive to the realm of big corporations or to evil individuals without consciences. Dishonest actions are all too prevalent in everyone's daily lives, because people are constantly encountering situations in which they can gain advantages by cutting corners. Whether it's adding a few dollars in value to the stolen items reported on an insurance claim form or dropping outlier data points from a figure to make a paper sound more interesting, dishonesty is part of the human condition. Here, we explore how people rationalize dishonesty, the implications for scientific research, and what can be done to foster a culture of research integrity.

  14. Recovering complete and draft population genomes from metagenome datasets

    SciTech Connect

    Sangwan, Naseer; Xia, Fangfang; Gilbert, Jack A.

    2016-03-08

    Assembly of metagenomic sequence data into microbial genomes is of fundamental value to improving our understanding of microbial ecology and metabolism by elucidating the functional potential of hard-to-culture microorganisms. Here, we provide a synthesis of available methods to bin metagenomic contigs into species-level groups and highlight how genetic diversity, sequencing depth, and coverage influence binning success. Despite the computational cost on application to deeply sequenced complex metagenomes (e.g., soil), covarying patterns of contig coverage across multiple datasets significantly improves the binning process. We also discuss and compare current genome validation methods and reveal how these methods tackle the problem of chimeric genome bins i.e., sequences from multiple species. Finally, we explore how population genome assembly can be used to uncover biogeographic trends and to characterize the effect of in situ functional constraints on the genome-wide evolution.

  15. Recovering complete and draft population genomes from metagenome datasets

    DOE PAGES

    Sangwan, Naseer; Xia, Fangfang; Gilbert, Jack A.

    2016-03-08

    Assembly of metagenomic sequence data into microbial genomes is of fundamental value to improving our understanding of microbial ecology and metabolism by elucidating the functional potential of hard-to-culture microorganisms. Here, we provide a synthesis of available methods to bin metagenomic contigs into species-level groups and highlight how genetic diversity, sequencing depth, and coverage influence binning success. Despite the computational cost on application to deeply sequenced complex metagenomes (e.g., soil), covarying patterns of contig coverage across multiple datasets significantly improves the binning process. We also discuss and compare current genome validation methods and reveal how these methods tackle the problem ofmore » chimeric genome bins i.e., sequences from multiple species. Finally, we explore how population genome assembly can be used to uncover biogeographic trends and to characterize the effect of in situ functional constraints on the genome-wide evolution.« less

  16. Environmental Dataset Gateway (EDG) Search Widget

    EPA Pesticide Factsheets

    Use the Environmental Dataset Gateway (EDG) to find and access EPA's environmental resources. Many options are available for easily reusing EDG content in other other applications. This allows individuals to provide direct access to EPA's metadata outside the EDG interface. The EDG Search Widget makes it possible to search the EDG from another web page or application. The search widget can be included on your website by simply inserting one or two lines of code. Users can type a search term or lucene search query in the search field and retrieve a pop-up list of records that match that search.

  17. Environmental Dataset Gateway (EDG) REST Interface

    EPA Pesticide Factsheets

    Use the Environmental Dataset Gateway (EDG) to find and access EPA's environmental resources. Many options are available for easily reusing EDG content in other other applications. This allows individuals to provide direct access to EPA's metadata outside the EDG interface. The EDG REST Interface allows each users to query the catalog through a URL using REST syntax. Accessing individual metadata documents through their REST URLs, or groups of documents that match specific search criteria through a REST-formatted search URL, provides powerful functionality for searching, viewing, and sharing EDG records.

  18. Toyz: A framework for scientific analysis of large datasets and astronomical images

    NASA Astrophysics Data System (ADS)

    Moolekamp, F.; Mamajek, E.

    2015-11-01

    As the size of images and data products derived from astronomical data continues to increase, new tools are needed to visualize and interact with that data in a meaningful way. Motivated by our own astronomical images taken with the Dark Energy Camera (DECam) we present Toyz, an open source Python package for viewing and analyzing images and data stored on a remote server or cluster. Users connect to the Toyz web application via a web browser, making it ​a convenient tool for students to visualize and interact with astronomical data without having to install any software on their local machines. In addition it provides researchers with an easy-to-use tool that allows them to browse the files on a server and quickly view very large images (>2 Gb) taken with DECam and other cameras with a large FOV and create their own visualization tools that can be added on as extensions to the default Toyz framework.

  19. CROSS DRIVE: A Collaborative and Distributed Virtual Environment for Exploitation of Atmospherical and Geological Datasets of Mars

    NASA Astrophysics Data System (ADS)

    Cencetti, Michele

    2016-07-01

    European space exploration missions have produced huge data sets of potentially immense value for research as well as for planning and operating future missions. For instance, Mars Exploration programs comprise a series of missions with launches ranging from the past to beyond present, which are anticipated to produce exceptional volumes of data which provide prospects for research breakthroughs and advancing further activities in space. These collected data include a variety of information, such as imagery, topography, atmospheric, geochemical datasets and more, which has resulted in and still demands, databases, versatile visualisation tools and data reduction methods. Such rate of valuable data acquisition requires the scientists, researchers and computer scientists to coordinate their storage, processing and relevant tools to enable efficient data analysis. However, the current position is that expert teams from various disciplines, the databases and tools are fragmented, leaving little scope for unlocking its value through collaborative activities. The benefits of collaborative virtual environments have been implemented in various industrial fields allowing real-time multi-user collaborative work among people from different disciplines. Exploiting the benefits of advanced immersive virtual environments (IVE) has been recognized as an important interaction paradigm to facilitate future space exploration. The current work is mainly aimed towards the presentation of the preliminary results coming from the CROSS DRIVE project. This research received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 607177 and is mainly aimed towards the implementation of a distributed virtual workspace for collaborative scientific discovery, mission planning and operations. The purpose of the CROSS DRIVE project is to lay foundations of collaborative European workspaces for space science. It will demonstrate the feasibility and

  20. Accuracy assessment of seven global land cover datasets over China

    NASA Astrophysics Data System (ADS)

    Yang, Yongke; Xiao, Pengfeng; Feng, Xuezhi; Li, Haixing

    2017-03-01

    Land cover (LC) is the vital foundation to Earth science. Up to now, several global LC datasets have arisen with efforts of many scientific communities. To provide guidelines for data usage over China, nine LC maps from seven global LC datasets (IGBP DISCover, UMD, GLC, MCD12Q1, GLCNMO, CCI-LC, and GlobeLand30) were evaluated in this study. First, we compared their similarities and discrepancies in both area and spatial patterns, and analysed their inherent relations to data sources and classification schemes and methods. Next, five sets of validation sample units (VSUs) were collected to calculate their accuracy quantitatively. Further, we built a spatial analysis model and depicted their spatial variation in accuracy based on the five sets of VSUs. The results show that, there are evident discrepancies among these LC maps in both area and spatial patterns. For LC maps produced by different institutes, GLC 2000 and CCI-LC 2000 have the highest overall spatial agreement (53.8%). For LC maps produced by same institutes, overall spatial agreement of CCI-LC 2000 and 2010, and MCD12Q1 2001 and 2010 reach up to 99.8% and 73.2%, respectively; while more efforts are still needed if we hope to use these LC maps as time series data for model inputting, since both CCI-LC and MCD12Q1 fail to represent the rapid changing trend of several key LC classes in the early 21st century, in particular urban and built-up, snow and ice, water bodies, and permanent wetlands. With the highest spatial resolution, the overall accuracy of GlobeLand30 2010 is 82.39%. For the other six LC datasets with coarse resolution, CCI-LC 2010/2000 has the highest overall accuracy, and following are MCD12Q1 2010/2001, GLC 2000, GLCNMO 2008, IGBP DISCover, and UMD in turn. Beside that all maps exhibit high accuracy in homogeneous regions; local accuracies in other regions are quite different, particularly in Farming-Pastoral Zone of North China, mountains in Northeast China, and Southeast Hills. Special

  1. Efficiently Exploring Multilevel Data with Recursive Partitioning

    ERIC Educational Resources Information Center

    Martin, Daniel P.; von Oertzen, Timo; Rimm-Kaufman, Sara E.

    2015-01-01

    There is an increasing number of datasets with many participants, variables, or both, in education and other fields that often deal with large, multilevel data structures. Once initial confirmatory hypotheses are exhausted, it can be difficult to determine how best to explore the dataset to discover hidden relationships that could help to inform…

  2. Evaluation of anomalies in GLDAS-1996 dataset.

    PubMed

    Zhou, Xinyao; Zhang, Yongqiang; Yang, Yonghui; Yang, Yanmin; Han, Shumin

    2013-01-01

    Global Land Data Assimilation System (GLDAS) data are widely used for land-surface flux simulations. Therefore, the simulation accuracy using GLDAS dataset is largely contingent upon the accuracy of the GLDAS dataset. It is found that GLDAS land-surface model simulated runoff exhibits strong anomalies for 1996. These anomalies are investigated by evaluating four GLDAS meteorological forcing data (precipitation, air temperature, downward shortwave radiation and downward longwave radiation) in six large basins across the world (Danube, Mississippi, Yangtze, Congo, Amazon and Murray-Darling basins). Precipitation data from the Global Precipitation Climatology Centre (GPCC) are also compared with GLDAS forcing precipitation data. Large errors and lack of monthly variability in GLDAS-1996 precipitation data are the main sources for the anomalies in the simulated runoff. The impact of the precipitation data on simulated runoff for 1996 is investigated with the Community Atmosphere Biosphere Land Exchange (CABLE) land-surface model in the Yangtze basin, for which area high-quality local precipitation data are obtained from the China Meteorological Administration (CMA). The CABLE model is driven by GLDAS daily precipitation data and CMA daily precipitation, respectively. The simulated daily and monthly runoffs obtained from CMA data are noticeably better than those obtained from GLDAS data, suggesting that GLDAS-1996 precipitation data are not so reliable for land-surface flux simulations.

  3. Integrated remotely sensed datasets for disaster management

    NASA Astrophysics Data System (ADS)

    McCarthy, Timothy; Farrell, Ronan; Curtis, Andrew; Fotheringham, A. Stewart

    2008-10-01

    Video imagery can be acquired from aerial, terrestrial and marine based platforms and has been exploited for a range of remote sensing applications over the past two decades. Examples include coastal surveys using aerial video, routecorridor infrastructures surveys using vehicle mounted video cameras, aerial surveys over forestry and agriculture, underwater habitat mapping and disaster management. Many of these video systems are based on interlaced, television standards such as North America's NTSC and European SECAM and PAL television systems that are then recorded using various video formats. This technology has recently being employed as a front-line, remote sensing technology for damage assessment post-disaster. This paper traces the development of spatial video as a remote sensing tool from the early 1980s to the present day. The background to a new spatial-video research initiative based at National University of Ireland, Maynooth, (NUIM) is described. New improvements are proposed and include; low-cost encoders, easy to use software decoders, timing issues and interoperability. These developments will enable specialists and non-specialists collect, process and integrate these datasets within minimal support. This integrated approach will enable decision makers to access relevant remotely sensed datasets quickly and so, carry out rapid damage assessment during and post-disaster.

  4. Land cover trends dataset, 1973-2000

    USGS Publications Warehouse

    Soulard, Christopher E.; Acevedo, William; Auch, Roger F.; Sohl, Terry L.; Drummond, Mark A.; Sleeter, Benjamin M.; Sorenson, Daniel G.; Kambly, Steven; Wilson, Tamara S.; Taylor, Janis L.; Sayler, Kristi L.; Stier, Michael P.; Barnes, Christopher A.; Methven, Steven C.; Loveland, Thomas R.; Headley, Rachel; Brooks, Mark S.

    2014-01-01

    The U.S. Geological Survey Land Cover Trends Project is releasing a 1973–2000 time-series land-use/land-cover dataset for the conterminous United States. The dataset contains 5 dates of land-use/land-cover data for 2,688 sample blocks randomly selected within 84 ecological regions. The nominal dates of the land-use/land-cover maps are 1973, 1980, 1986, 1992, and 2000. The land-use/land-cover maps were classified manually from Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper Plus imagery using a modified Anderson Level I classification scheme. The resulting land-use/land-cover data has a 60-meter resolution and the projection is set to Albers Equal-Area Conic, North American Datum of 1983. The files are labeled using a standard file naming convention that contains the number of the ecoregion, sample block, and Landsat year. The downloadable files are organized by ecoregion, and are available in the ERDAS IMAGINETM (.img) raster file format.

  5. Leveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot Study

    PubMed Central

    Bragazzi, Nicola Luigi; Toletone, Alessandra; Brigo, Francesco; Durando, Paolo

    2016-01-01

    Objective Silicosis is an untreatable but preventable occupational disease, caused by exposure to silica. It can progressively evolve to lung impairment, respiratory failure and death, even after exposure has ceased. However, little is known about occupational diseases-related interest at the level of scientific community, media coverage and web behavior. This article aims at filling in this gap of knowledge, taking the silicosis as a case study. Methods We investigated silicosis-related web-activities using Google Trends (GT) for capturing the Internet behavior worldwide in the years 2004–2015. GT-generated data were, then, compared with the silicosis-related scientific production (i.e., PubMed and Google Scholar), the media coverage (i.e., Google news), the Wikipedia traffic (i.e, Wikitrends) and the usage of new media (i.e., YouTube and Twitter). Results A peak in silicosis-related web searches was noticed in 2010–2011: interestingly, both scientific articles production and media coverage markedly increased after these years in a statistically significant way. The public interest and the level of the public engagement were witnessed by an increase in likes, comments, hashtags, and re-tweets. However, it was found that only a small fraction of the posted/uploaded material contained accurate scientific information. Conclusions GT could be useful to assess the reaction of the public and the level of public engagement both to novel risk-factors associated to occupational diseases, and possibly related changes in disease natural history, and to the effectiveness of preventive workplace practices and legislative measures adopted to improve occupational health. Further, occupational clinicians should become aware of the topics most frequently searched by patients and proactively address these concerns during the medical examination. Institutional bodies and organisms should be more present and active in digital tools and media to disseminate and communicate

  6. Statistics of large detrital geochronology datasets

    NASA Astrophysics Data System (ADS)

    Saylor, J. E.; Sundell, K. E., II

    2014-12-01

    Implementation of quantitative metrics for inter-sample comparison of detrital geochronological data sets has lagged the increase in data set size, and ability to identify sub-populations and quantify their relative proportions. Visual comparison or application of some statistical approaches, particularly the Kolmogorov-Smirnov (KS) test, that initially appeared to provide a simple way of comparing detrital data sets, may be inadequate to quantify their similarity. We evaluate several proposed metrics by applying them to four large synthetic datasets drawn randomly from a parent dataset, as well as a recently published large empirical dataset consisting of four separate (n = ~1000 each) analyses of the same rock sample. Visual inspection of the cumulative probability density functions (CDF) and relative probability density functions (PDF) confirms an increasingly close correlation between data sets as the number of analyses increases. However, as data set size increases the KS test yields lower mean p-values implying greater confidence that the samples were not drawn from the same parent population and high standard deviations despite minor decreases in the mean difference between sample CDFs. We attribute this to the increasing sensitivity of the KS test when applied to larger data sets, which in turn limits its use for quantitative inter-sample comparison in detrital geochronology. Proposed alternative metrics, including Similarity, Likeness (complement to Mismatch), and the coefficient of determination (R2) of a cross-plot of PDF quantiles, point to an increasingly close correlation between data sets with increasing size, although they are the most sensitive at different ranges of data set sizes. The Similarity test is most sensitive to variation in data sets with n < 100 and is relatively insensitive to further convergence between larger data sets. The Likeness test reaches 90% of its asymptotic maximum at data set sizes of n = 200. The PDF cross-plot R2 value

  7. Multi-Resolution Modeling of Large Scale Scientific Simulation Data

    SciTech Connect

    Baldwin, C; Abdulla, G; Critchlow, T

    2002-02-25

    Data produced by large scale scientific simulations, experiments, and observations can easily reach tera-bytes in size. The ability to examine data-sets of this magnitude, even in moderate detail, is problematic at best. Generally this scientific data consists of multivariate field quantities with complex inter-variable correlations and spatial-temporal structure. To provide scientists and engineers with the ability to explore and analyze such data sets we are using a twofold approach. First, we model the data with the objective of creating a compressed yet manageable representation. Second, with that compressed representation, we provide the user with the ability to query the resulting approximation to obtain approximate yet sufficient answers; a process called adhoc querying. This paper is concerned with a wavelet modeling technique that seeks to capture the important physical characteristics of the target scientific data. Our approach is driven by the compression, which is necessary for viable throughput, along with the end user requirements from the discovery process. Our work contrasts existing research which applies wavelets to range querying, change detection, and clustering problems by working directly with a decomposition of the data. The difference in this procedures is due primarily to the nature of the data and the requirements of the scientists and engineers. Our approach directly uses the wavelet coefficients of the data to compress as well as query. We will provide some background on the problem, describe how the wavelet decomposition is used to facilitate data compression and how queries are posed on the resulting compressed model. Results of this process will be shown for several problems of interest and we will end with some observations and conclusions about this research.

  8. SAGE Research Methods Datasets: A Data Analysis Educational Tool.

    PubMed

    Vardell, Emily

    2016-01-01

    SAGE Research Methods Datasets (SRMD) is an educational tool designed to offer users the opportunity to obtain hands-on experience with data analysis. Users can search for and browse authentic datasets by method, discipline, and data type. Each of the datasets are supplemented with educational material on the research method and clear guidelines for how to approach data analysis.

  9. Dataset-Driven Research to Support Learning and Knowledge Analytics

    ERIC Educational Resources Information Center

    Verbert, Katrien; Manouselis, Nikos; Drachsler, Hendrik; Duval, Erik

    2012-01-01

    In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…

  10. AMADA-Analysis of multidimensional astronomical datasets

    NASA Astrophysics Data System (ADS)

    de Souza, R. S.; Ciardi, B.

    2015-09-01

    We present AMADA, an interactive web application to analyze multidimensional datasets. The user uploads a simple ASCII file and AMADA performs a number of exploratory analysis together with contemporary visualizations diagnostics. The package performs a hierarchical clustering in the parameter space, and the user can choose among linear, monotonic or non-linear correlation analysis. AMADA provides a number of clustering visualization diagnostics such as heatmaps, dendrograms, chord diagrams, and graphs. In addition, AMADA has the option to run a standard or robust principal components analysis, displaying the results as polar bar plots. The code is written in R and the web interface was created using the SHINY framework. AMADA source-code is freely available at https://goo.gl/KeSPue, and the shiny-app at http://goo.gl/UTnU7I.

  11. LIMS Version 6 Level 3 Dataset

    NASA Technical Reports Server (NTRS)

    Remsberg, Ellis E.; Lingenfelser, Gretchen

    2010-01-01

    This report describes the Limb Infrared Monitor of the Stratosphere (LIMS) Version 6 (V6) Level 3 data products and the assumptions used for their generation. A sequential estimation algorithm was used to obtain daily, zonal Fourier coefficients of the several parameters of the LIMS dataset for 216 days of 1978-79. The coefficients are available at up to 28 pressure levels and at every two degrees of latitude from 64 S to 84 N and at the synoptic time of 12 UT. Example plots were prepared and archived from the data at 10 hPa of January 1, 1979, to illustrate the overall coherence of the features obtained with the LIMS-retrieved parameters.

  12. VAST Contest Dataset Use in Education

    SciTech Connect

    Whiting, Mark A.; North, Chris; Endert, Alexander; Scholtz, Jean; Haack, Jereme N.; Varley, Caroline F.; Thomas, James J.

    2009-12-13

    The IEEE Visual Analytics Science and Technology (VAST) Symposium has held a contest each year since its inception in 2006. These events are designed to provide visual analytics researchers and developers with analytic challenges similar to those encountered by professional information analysts. The VAST contest has had an extended life outside of the symposium, however, as materials are being used in universities and other educational settings, either to help teachers of visual analytics-related classes or for student projects. We describe how we develop VAST contest datasets that results in products that can be used in different settings and review some specific examples of the adoption of the VAST contest materials in the classroom. The examples are drawn from graduate and undergraduate courses at Virginia Tech and from the Visual Analytics "Summer Camp" run by the National Visualization and Analytics Center in 2008. We finish with a brief discussion on evaluation metrics for education

  13. Predicting dataset popularity for the CMS experiment

    NASA Astrophysics Data System (ADS)

    Kuznetsov, V.; Li, T.; Giommi, L.; Bonacorsi, D.; Wildish, T.

    2016-10-01

    The CMS experiment at the LHC accelerator at CERN relies on its computing infrastructure to stay at the frontier of High Energy Physics, searching for new phenomena and making discoveries. Even though computing plays a significant role in physics analysis we rarely use its data to predict the system behavior itself. A basic information about computing resources, user activities and site utilization can be really useful for improving the throughput of the system and its management. In this paper, we discuss a first CMS analysis of dataset popularity based on CMS meta-data which can be used as a model for dynamic data placement and provide the foundation of data-driven approach for the CMS computing infrastructure.

  14. National hydrography dataset--linear referencing

    USGS Publications Warehouse

    Simley, Jeffrey; Doumbouya, Ariel

    2012-01-01

    Geospatial data normally have a certain set of standard attributes, such as an identification number, the type of feature, and name of the feature. These standard attributes are typically embedded into the default attribute table, which is directly linked to the geospatial features. However, it is impractical to embed too much information because it can create a complex, inflexible, and hard to maintain geospatial dataset. Many scientists prefer to create a modular, or relational, data design where the information about the features is stored and maintained separately, then linked to the geospatial data. For example, information about the water chemistry of a lake can be maintained in a separate file and linked to the lake. A Geographic Information System (GIS) can then relate the water chemistry to the lake and analyze it as one piece of information. For example, the GIS can select all lakes more than 50 acres, with turbidity greater than 1.5 milligrams per liter.

  15. A new bed elevation dataset for Greenland

    NASA Astrophysics Data System (ADS)

    Bamber, J. L.; Griggs, J. A.; Hurkmans, R. T. W. L.; Dowdeswell, J. A.; Gogineni, S. P.; Howat, I.; Mouginot, J.; Paden, J.; Palmer, S.; Rignot, E.; Steinhage, D.

    2013-03-01

    We present a new bed elevation dataset for Greenland derived from a combination of multiple airborne ice thickness surveys undertaken between the 1970s and 2012. Around 420 000 line kilometres of airborne data were used, with roughly 70% of this having been collected since the year 2000, when the last comprehensive compilation was undertaken. The airborne data were combined with satellite-derived elevations for non-glaciated terrain to produce a consistent bed digital elevation model (DEM) over the entire island including across the glaciated-ice free boundary. The DEM was extended to the continental margin with the aid of bathymetric data, primarily from a compilation for the Arctic. Ice thickness was determined where an ice shelf exists from a combination of surface elevation and radar soundings. The across-track spacing between flight lines warranted interpolation at 1 km postings for significant sectors of the ice sheet. Grids of ice surface elevation, error estimates for the DEM, ice thickness and data sampling density were also produced alongside a mask of land/ocean/grounded ice/floating ice. Errors in bed elevation range from a minimum of ±10 m to about ±300 m, as a function of distance from an observation and local topographic variability. A comparison with the compilation published in 2001 highlights the improvement in resolution afforded by the new datasets, particularly along the ice sheet margin, where ice velocity is highest and changes in ice dynamics most marked. We estimate that the volume of ice included in our land-ice mask would raise mean sea level by 7.36 m, excluding any solid earth effects that would take place during ice sheet decay.

  16. SALTON SEA SCIENTIFIC DRILLING PROJECT: SCIENTIFIC PROGRAM.

    USGS Publications Warehouse

    Sass, J.H.; Elders, W.A.

    1986-01-01

    The Salton Sea Scientific Drilling Project, was spudded on 24 October 1985, and reached a total depth of 10,564 ft. (3. 2 km) on 17 March 1986. There followed a period of logging, a flow test, and downhole scientific measurements. The scientific goals were integrated smoothly with the engineering and economic objectives of the program and the ideal of 'science driving the drill' in continental scientific drilling projects was achieved in large measure. The principal scientific goals of the project were to study the physical and chemical processes involved in an active, magmatically driven hydrothermal system. To facilitate these studies, high priority was attached to four areas of sample and data collection, namely: (1) core and cuttings, (2) formation fluids, (3) geophysical logging, and (4) downhole physical measurements, particularly temperatures and pressures.

  17. The Centennial Trends Greater Horn of Africa precipitation dataset.

    PubMed

    Funk, Chris; Nicholson, Sharon E; Landsfeld, Martin; Klotter, Douglas; Peterson, Pete; Harrison, Laura

    2015-01-01

    East Africa is a drought prone, food and water insecure region with a highly variable climate. This complexity makes rainfall estimation challenging, and this challenge is compounded by low rain gauge densities and inhomogeneous monitoring networks. The dearth of observations is particularly problematic over the past decade, since the number of records in globally accessible archives has fallen precipitously. This lack of data coincides with an increasing scientific and humanitarian need to place recent seasonal and multi-annual East African precipitation extremes in a deep historic context. To serve this need, scientists from the UC Santa Barbara Climate Hazards Group and Florida State University have pooled their station archives and expertise to produce a high quality gridded 'Centennial Trends' precipitation dataset. Additional observations have been acquired from the national meteorological agencies and augmented with data provided by other universities. Extensive quality control of the data was carried out and seasonal anomalies interpolated using kriging. This paper documents the CenTrends methodology and data.

  18. Creating a global sub-daily precipitation dataset

    NASA Astrophysics Data System (ADS)

    Lewis, Elizabeth; Blenkinsop, Stephen; Fowler, Hayley

    2016-04-01

    Extremes of precipitation can cause flooding and droughts which can lead to substantial damages to infrastructure and ecosystems and can result in loss of life. It is still uncertain how hydrological extremes will change with global warming as we do not fully understand the processes that cause extreme precipitation under current climate variability. The INTENSE project is using a novel and fully-integrated data-modelling approach to provide a step-change in our understanding of the nature and drivers of global precipitation extremes and change on societally relevant timescales, leading to improved high-resolution climate model representation of extreme rainfall processes. The INTENSE project is in conjunction with the World Climate Research Programme (WCRP)'s Grand Challenge on 'Understanding and Predicting Weather and Climate Extremes' and the Global Water and Energy Exchanges Project (GEWEX) Science questions. The first step towards achieving this is to construct a new global sub-daily precipitation dataset. Data collection is ongoing and already covers North America, Europe, Asia and Australasia. Comprehensive, open source quality control software is being developed to set a new standard for verifying sub-daily precipitation data and a set of global hydroclimatic indices will be produced based upon stakeholder recommendations. This will provide a unique global data resource on sub-daily precipitation whose derived indices, e.g. monthly/annual maxima, will be freely available to the wider scientific community.

  19. Privacy-preserving GWAS analysis on federated genomic datasets

    PubMed Central

    2015-01-01

    Background The biomedical community benefits from the increasing availability of genomic data to support meaningful scientific research, e.g., Genome-Wide Association Studies (GWAS). However, high quality GWAS usually requires a large amount of samples, which can grow beyond the capability of a single institution. Federated genomic data analysis holds the promise of enabling cross-institution collaboration for effective GWAS, but it raises concerns about patient privacy and medical information confidentiality (as data are being exchanged across institutional boundaries), which becomes an inhibiting factor for the practical use. Methods We present a privacy-preserving GWAS framework on federated genomic datasets. Our method is to layer the GWAS computations on top of secure multi-party computation (MPC) systems. This approach allows two parties in a distributed system to mutually perform secure GWAS computations, but without exposing their private data outside. Results We demonstrate our technique by implementing a framework for minor allele frequency counting and χ2 statistics calculation, one of typical computations used in GWAS. For efficient prototyping, we use a state-of-the-art MPC framework, i.e., Portable Circuit Format (PCF) [1]. Our experimental results show promise in realizing both efficient and secure cross-institution GWAS computations. PMID:26733045

  20. Attribute Utility Motivated k-anonymization of datasets to support the heterogeneous needs of biomedical researchers.

    PubMed

    Ye, Huimin; Chen, Elizabeth S

    2011-01-01

    In order to support the increasing need to share electronic health data for research purposes, various methods have been proposed for privacy preservation including k-anonymity. Many k-anonymity models provide the same level of anoymization regardless of practical need, which may decrease the utility of the dataset for a particular research study. In this study, we explore extensions to the k-anonymity algorithm that aim to satisfy the heterogeneous needs of different researchers while preserving privacy as well as utility of the dataset. The proposed algorithm, Attribute Utility Motivated k-anonymization (AUM), involves analyzing the characteristics of attributes and utilizing them to minimize information loss during the anonymization process. Through comparison with two existing algorithms, Mondrian and Incognito, preliminary results indicate that AUM may preserve more information from original datasets thus providing higher quality results with lower distortion.

  1. Scientific integrity in Brazil.

    PubMed

    Lins, Liliane; Carvalho, Fernando Martins

    2014-09-01

    This article focuses on scientific integrity and the identification of predisposing factors to scientific misconduct in Brazil. Brazilian scientific production has increased in the last ten years, but the quality of the articles has decreased. Pressure on researchers and students for increasing scientific production may contribute to scientific misconduct. Cases of misconduct in science have been recently denounced in the country. Brazil has important institutions for controlling ethical and safety aspects of human research, but there is a lack of specific offices to investigate suspected cases of misconduct and policies to deal with scientific dishonesty.

  2. Dissecting the space-time structure of tree-ring datasets using the partial triadic analysis.

    PubMed

    Rossi, Jean-Pierre; Nardin, Maxime; Godefroid, Martin; Ruiz-Diaz, Manuela; Sergent, Anne-Sophie; Martinez-Meier, Alejandro; Pâques, Luc; Rozenberg, Philippe

    2014-01-01

    Tree-ring datasets are used in a variety of circumstances, including archeology, climatology, forest ecology, and wood technology. These data are based on microdensity profiles and consist of a set of tree-ring descriptors, such as ring width or early/latewood density, measured for a set of individual trees. Because successive rings correspond to successive years, the resulting dataset is a ring variables × trees × time datacube. Multivariate statistical analyses, such as principal component analysis, have been widely used for extracting worthwhile information from ring datasets, but they typically address two-way matrices, such as ring variables × trees or ring variables × time. Here, we explore the potential of the partial triadic analysis (PTA), a multivariate method dedicated to the analysis of three-way datasets, to apprehend the space-time structure of tree-ring datasets. We analyzed a set of 11 tree-ring descriptors measured in 149 georeferenced individuals of European larch (Larix decidua Miller) during the period of 1967-2007. The processing of densitometry profiles led to a set of ring descriptors for each tree and for each year from 1967-2007. The resulting three-way data table was subjected to two distinct analyses in order to explore i) the temporal evolution of spatial structures and ii) the spatial structure of temporal dynamics. We report the presence of a spatial structure common to the different years, highlighting the inter-individual variability of the ring descriptors at the stand scale. We found a temporal trajectory common to the trees that could be separated into a high and low frequency signal, corresponding to inter-annual variations possibly related to defoliation events and a long-term trend possibly related to climate change. We conclude that PTA is a powerful tool to unravel and hierarchize the different sources of variation within tree-ring datasets.

  3. Dissecting the Space-Time Structure of Tree-Ring Datasets Using the Partial Triadic Analysis

    PubMed Central

    Rossi, Jean-Pierre; Nardin, Maxime; Godefroid, Martin; Ruiz-Diaz, Manuela; Sergent, Anne-Sophie; Martinez-Meier, Alejandro; Pâques, Luc; Rozenberg, Philippe

    2014-01-01

    Tree-ring datasets are used in a variety of circumstances, including archeology, climatology, forest ecology, and wood technology. These data are based on microdensity profiles and consist of a set of tree-ring descriptors, such as ring width or early/latewood density, measured for a set of individual trees. Because successive rings correspond to successive years, the resulting dataset is a ring variables × trees × time datacube. Multivariate statistical analyses, such as principal component analysis, have been widely used for extracting worthwhile information from ring datasets, but they typically address two-way matrices, such as ring variables × trees or ring variables × time. Here, we explore the potential of the partial triadic analysis (PTA), a multivariate method dedicated to the analysis of three-way datasets, to apprehend the space-time structure of tree-ring datasets. We analyzed a set of 11 tree-ring descriptors measured in 149 georeferenced individuals of European larch (Larix decidua Miller) during the period of 1967–2007. The processing of densitometry profiles led to a set of ring descriptors for each tree and for each year from 1967–2007. The resulting three-way data table was subjected to two distinct analyses in order to explore i) the temporal evolution of spatial structures and ii) the spatial structure of temporal dynamics. We report the presence of a spatial structure common to the different years, highlighting the inter-individual variability of the ring descriptors at the stand scale. We found a temporal trajectory common to the trees that could be separated into a high and low frequency signal, corresponding to inter-annual variations possibly related to defoliation events and a long-term trend possibly related to climate change. We conclude that PTA is a powerful tool to unravel and hierarchize the different sources of variation within tree-ring datasets. PMID:25247299

  4. Relationships between Scientific Process Skills and Scientific Creativity: Mediating Role of Nature of Science Knowledge

    ERIC Educational Resources Information Center

    Ozdemir, Gokhan; Dikici, Ayhan

    2017-01-01

    The purpose of this study is to explore the strength of relationships between 7th grade students' Scientific Process Skills (SPS), Nature of Science (NOS) beliefs, and Scientific Creativity (SC) through Structural Equation Modeling (SEM). For this purpose, data were collected from 332 students of two public middle school students in Turkey. SPS,…

  5. Museology and Scientific Culture.

    ERIC Educational Resources Information Center

    Saunier, Diane

    1988-01-01

    Discusses the period of transition and self examination of the museology of science. Defines the main issues and limits of the museum as a means of transmitting a scientific culture and scientific ways. (Author/RT)

  6. FIFRA Scientific Advisory Panel

    EPA Pesticide Factsheets

    Experts on the Federal Insecticide, Fungicide, and Rodenticide Act Scientific Advisory Panel provide independent scientific advice to the EPA on a wide range of health and safety issues related to pesticides.

  7. NASA: Innovate, Explore, Discover, Inspire

    NASA Video Gallery

    The President's Fiscal Year 2014 budget ensures the United States will remain the world's leader in space exploration and scientific discovery for years to come, while making critical advances in a...

  8. Extensional scientific realism vs. intensional scientific realism.

    PubMed

    Park, Seungbae

    2016-10-01

    Extensional scientific realism is the view that each believable scientific theory is supported by the unique first-order evidence for it and that if we want to believe that it is true, we should rely on its unique first-order evidence. In contrast, intensional scientific realism is the view that all believable scientific theories have a common feature and that we should rely on it to determine whether a theory is believable or not. Fitzpatrick argues that extensional realism is immune, while intensional realism is not, to the pessimistic induction. I reply that if extensional realism overcomes the pessimistic induction at all, that is because it implicitly relies on the theoretical resource of intensional realism. I also argue that extensional realism, by nature, cannot embed a criterion for distinguishing between believable and unbelievable theories.

  9. Classification of antimicrobial peptides with imbalanced datasets

    NASA Astrophysics Data System (ADS)

    Camacho, Francy L.; Torres, Rodrigo; Ramos Pollán, Raúl

    2015-12-01

    In the last years, pattern recognition has been applied to several fields for solving multiple problems in science and technology as for example in protein prediction. This methodology can be useful for prediction of activity of biological molecules, e.g. for determination of antimicrobial activity of synthetic and natural peptides. In this work, we evaluate the performance of different physico-chemical properties of peptides (descriptors groups) in the presence of imbalanced data sets, when facing the task of detecting whether a peptide has antimicrobial activity. We evaluate undersampling and class weighting techniques to deal with the class imbalance with different classification methods and descriptor groups. Our classification model showed an estimated precision of 96% showing that descriptors used to codify the amino acid sequences contain enough information to correlate the peptides sequences with their antimicrobial activity by means of learning machines. Moreover, we show how certain descriptor groups (pseudoaminoacid composition type I) work better with imbalanced datasets while others (dipeptide composition) work better with balanced ones.

  10. Utilizing Multiple Datasets for Snow Cover Mapping

    NASA Technical Reports Server (NTRS)

    Tait, Andrew B.; Hall, Dorothy K.; Foster, James L.; Armstrong, Richard L.

    1999-01-01

    Snow-cover maps generated from surface data are based on direct measurements, however they are prone to interpolation errors where climate stations are sparsely distributed. Snow cover is clearly discernable using satellite-attained optical data because of the high albedo of snow, yet the surface is often obscured by cloud cover. Passive microwave (PM) data is unaffected by clouds, however, the snow-cover signature is significantly affected by melting snow and the microwaves may be transparent to thin snow (less than 3cm). Both optical and microwave sensors have problems discerning snow beneath forest canopies. This paper describes a method that combines ground and satellite data to produce a Multiple-Dataset Snow-Cover Product (MDSCP). Comparisons with current snow-cover products show that the MDSCP draws together the advantages of each of its component products while minimizing their potential errors. Improved estimates of the snow-covered area are derived through the addition of two snow-cover classes ("thin or patchy" and "high elevation" snow cover) and from the analysis of the climate station data within each class. The compatibility of this method for use with Moderate Resolution Imaging Spectroradiometer (MODIS) data, which will be available in 2000, is also discussed. With the assimilation of these data, the resolution of the MDSCP would be improved both spatially and temporally and the analysis would become completely automated.

  11. Trajectory-Based Flow Feature Tracking in Joint Particle/Volume Datasets.

    PubMed

    Sauer, Franz; Yu, Hongfeng; Ma, Kwan-Liu

    2014-12-01

    Studying the dynamic evolution of time-varying volumetric data is essential in countless scientific endeavors. The ability to isolate and track features of interest allows domain scientists to better manage large complex datasets both in terms of visual understanding and computational efficiency. This work presents a new trajectory-based feature tracking technique for use in joint particle/volume datasets. While traditional feature tracking approaches generally require a high temporal resolution, this method utilizes the indexed trajectories of corresponding Lagrangian particle data to efficiently track features over large jumps in time. Such a technique is especially useful for situations where the volume dataset is either temporally sparse or too large to efficiently track a feature through all intermediate timesteps. In addition, this paper presents a few other applications of this approach, such as the ability to efficiently track the internal properties of volumetric features using variables from the particle data. We demonstrate the effectiveness of this technique using real world combustion and atmospheric datasets and compare it to existing tracking methods to justify its advantages and accuracy.

  12. Dataset of the proteome of purified outer membrane vesicles from the human pathogen Aggregatibacter actinomycetemcomintans.

    PubMed

    Kieselbach, Thomas; Oscarsson, Jan

    2017-02-01

    The Gram-negative bacterium Aggregatibacter actinomycetemcomitans is an oral and systemic pathogen, which is linked to aggressive forms of periodontitis and can be associated with endocarditis. The outer membrane vesicles (OMVs) of this species contain effector proteins such as cytolethal distending toxin (CDT) and leukotoxin (LtxA), which they can deliver into human host cells. The OMVs can also activate innate immunity through NOD1- and NOD2-active pathogen-associated molecular patterns. This dataset provides a proteome of highly purified OMVs from A. actinomycetemcomitans serotype e strain 173. The experimental data do not only include the raw data of the LC-MS/MS analysis of four independent preparations of purified OMVs but also the mass lists of the processed data and the Mascot.dat files from the database searches. In total 501 proteins are identified, of which 151 are detected in at least three of four independent preparations. In addition, this dataset contains the COG definitions and the predicted subcellular locations (PSORTb 3.0) for the entire genome of A. actinomycetemcomitans serotype e strain SC1083, which is used for the evaluation of the LC-MS/MS data. These data are deposited in ProteomeXchange in the public dataset PXD002509. In addition, a scientific interpretation of this dataset by Kieselbach et al. (2015) [2] is available at http://dx.doi.org/10.1371/journal.pone.0138591.

  13. Far Travelers: The Exploring Machines.

    ERIC Educational Resources Information Center

    Nicks, Oran W.

    The National Aeronautics and Space Administration (NASA) program of lunar and planetary exploration produced a flood of scientific information about the moon, planets and the environment of interplanetary space. This book is an account of the people, machines, and the events of this scientific enterprise. It is a story of organizations,…

  14. Introduction to Exploring Machines

    ERIC Educational Resources Information Center

    Early Childhood Today, 2006

    2006-01-01

    Young children are fascinated by how things "work." They are at a stage of development where they want to experiment with the many ways to use an object or take things apart and put them back together. In the process of exploring tools and machines, children use the scientific method and problem-solving skills. They observe how things work, wonder…

  15. AMADA: Analysis of Multidimensional Astronomical DAtasets

    NASA Astrophysics Data System (ADS)

    de Souza, Rafael S.; Ciardi, Benedetta

    2015-03-01

    AMADA allows an iterative exploration and information retrieval of high-dimensional data sets. This is done by performing a hierarchical clustering analysis for different choices of correlation matrices and by doing a principal components analysis in the original data. Additionally, AMADA provides a set of modern visualization data-mining diagnostics. The user can switch between them using the different tabs.

  16. WWW: The Scientific Method

    ERIC Educational Resources Information Center

    Blystone, Robert V.; Blodgett, Kevin

    2006-01-01

    The scientific method is the principal methodology by which biological knowledge is gained and disseminated. As fundamental as the scientific method may be, its historical development is poorly understood, its definition is variable, and its deployment is uneven. Scientific progress may occur without the strictures imposed by the formal…

  17. Filtergraph: A fast, intuitive, online data visualization system for large astronomy datasets

    NASA Astrophysics Data System (ADS)

    Stassun, Keivan; Burger, D.; Pepper, J.; De Lee, N. M.; Siverd, R.; Paegert, M.

    2014-01-01

    We present Filtergraph as a web application designed to rapidly and intuitively visualize large datasets. The user loads a dataset in a variety of supported file types into Filtergraph, which automatically generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots of up to 5 dimensions as well as histograms and tables based on the dataset. Key features of the portal include intuitive controls with auto-completed variable names, the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. To enable seamless data visualization and exploration, changes are quickly rendered on screen and visualizations can be exported as high quality graphics files or shared as simple URLs. The application is optimized for speed: for instance, a plot generated from a database of 3.1 million entries renders in less than 2 seconds on a standard web server platform, allowing rapid-fire exploration of massive datasets with little time cost. Filtergraph is free to use at http://filtergraph.vanderbilt.edu/.

  18. Ontology-Driven Discovery of Scientific Computational Entities

    ERIC Educational Resources Information Center

    Brazier, Pearl W.

    2010-01-01

    Many geoscientists use modern computational resources, such as software applications, Web services, scientific workflows and datasets that are readily available on the Internet, to support their research and many common tasks. These resources are often shared via human contact and sometimes stored in data portals; however, they are not necessarily…

  19. Systematic Processing of Clementine Data for Scientific Analyses

    NASA Technical Reports Server (NTRS)

    Mcewen, A. S.

    1993-01-01

    If fully successful, the Clementine mission will return about 3,000,000 lunar images and more than 5000 images of Geographos. Effective scientific analyses of such large datasets require systematic processing efforts. Concepts for two such efforts are described: glogal multispectral imaging of the moon; and videos of Geographos.

  20. Exploring ensemble visualization

    NASA Astrophysics Data System (ADS)

    Phadke, Madhura N.; Pinto, Lifford; Alabi, Oluwafemi; Harter, Jonathan; Taylor, Russell M., II; Wu, Xunlei; Petersen, Hannah; Bass, Steffen A.; Healey, Christopher G.

    2012-01-01

    An ensemble is a collection of related datasets. Each dataset, or member, of an ensemble is normally large, multidimensional, and spatio-temporal. Ensembles are used extensively by scientists and mathematicians, for example, by executing a simulation repeatedly with slightly different input parameters and saving the results in an ensemble to see how parameter choices affect the simulation. To draw inferences from an ensemble, scientists need to compare data both within and between ensemble members. We propose two techniques to support ensemble exploration and comparison: a pairwise sequential animation method that visualizes locally neighboring members simultaneously, and a screen door tinting method that visualizes subsets of members using screen space subdivision. We demonstrate the capabilities of both techniques, first using synthetic data, then with simulation data of heavy ion collisions in high-energy physics. Results show that both techniques are capable of supporting meaningful comparisons of ensemble data.

  1. Exploring Ensemble Visualization

    PubMed Central

    Phadke, Madhura N.; Pinto, Lifford; Alabi, Femi; Harter, Jonathan; Taylor, Russell M.; Wu, Xunlei; Petersen, Hannah; Bass, Steffen A.; Healey, Christopher G.

    2012-01-01

    An ensemble is a collection of related datasets. Each dataset, or member, of an ensemble is normally large, multidimensional, and spatio-temporal. Ensembles are used extensively by scientists and mathematicians, for example, by executing a simulation repeatedly with slightly different input parameters and saving the results in an ensemble to see how parameter choices affect the simulation. To draw inferences from an ensemble, scientists need to compare data both within and between ensemble members. We propose two techniques to support ensemble exploration and comparison: a pairwise sequential animation method that visualizes locally neighboring members simultaneously, and a screen door tinting method that visualizes subsets of members using screen space subdivision. We demonstrate the capabilities of both techniques, first using synthetic data, then with simulation data of heavy ion collisions in high-energy physics. Results show that both techniques are capable of supporting meaningful comparisons of ensemble data. PMID:22347540

  2. Scientific results from COBE

    NASA Technical Reports Server (NTRS)

    Bennett, C. L.; Boggess, N. W.; Cheng, E. S.; Hauser, M. G.; Kelsall, T.; Mather, J. C.; Moseley, S. H., Jr.; Murdock, T. L.; Shafer, R. A.; Silverberg, R. F.

    1993-01-01

    NASA's Cosmic Background Explorer (COBE) carries three scientific instruments to make precise measurements of the spectrum and anisotropy of the cosmic microwave background (CMB) radiation on angular scales greater than 7 deg and to conduct a search for a diffuse cosmic infrared background (CIB) radiation with 0.7 deg angular resolution. Data from the Far-Infrared Absolute Spectrophotometer (FIRAS) show that the spectrum of the CMB is that of a blackbody of temperature T = 2.73 +/- 0.06 K, with no deviation from a blackbody spectrum greater than 0.25% of the peak brightness. The first year of data from the Differential Microwave Radiometers (DMR) show statistically significant CMB anisotropy. The anisotropy is consistent with a scale invariant primordial density fluctuation spectrum. Infrared sky brightness measurements from the Diffuse Infrared Background Experiment (DIRBE) provide new conservative upper limits to the CIB. Extensive modeling of solar system and galactic infrared foregrounds is required for further improvement in the CIB limits.

  3. Scientific results from COBE

    NASA Astrophysics Data System (ADS)

    Bennett, C. L.; Boggess, N. W.; Cheng, E. S.; Hauser, M. G.; Kelsall, T.; Mather, J. C.; Moseley, S. H., Jr.; Murdock, T. L.; Shafer, R. A.; Silverberg, R. F.

    1993-12-01

    NASA's Cosmic Background Explorer (COBE) carries three scientific instruments to make precise measurements of the spectrum and anisotropy of the cosmic microwave background (CMB) radiation on angular scales greater than 7 deg and to conduct a search for a diffuse cosmic infrared background (CIB) radiation with 0.7 deg angular resolution. Data from the Far-Infrared Absolute Spectrophotometer (FIRAS) show that the spectrum of the CMB is that of a blackbody of temperature T = 2.73 +/- 0.06 K, with no deviation from a blackbody spectrum greater than 0.25% of the peak brightness. The first year of data from the Differential Microwave Radiometers (DMR) show statistically significant CMB anisotropy. The anisotropy is consistent with a scale invariant primordial density fluctuation spectrum. Infrared sky brightness measurements from the Diffuse Infrared Background Experiment (DIRBE) provide new conservative upper limits to the CIB. Extensive modeling of solar system and galactic infrared foregrounds is required for further improvement in the CIB limits.

  4. Science in Writing: Learning Scientific Argument in Principle and Practice

    ERIC Educational Resources Information Center

    Cope, Bill; Kalantzis, Mary; Abd-El-Khalick, Fouad; Bagley, Elizabeth

    2013-01-01

    This article explores the processes of writing in science and in particular the "complex performance" of writing a scientific argument. The article explores in general terms the nature of scientific argumentation in which the author-scientist makes claims, provides evidence to support these claims, and develops chains of scientific…

  5. Lunar Daylight Exploration

    NASA Technical Reports Server (NTRS)

    Griffin, Brand Norman

    2010-01-01

    With 1 rover, 2 astronauts and 3 days, the Apollo 17 Mission covered over 30 km, setup 10 scientific experiments and returned 110 kg of samples. This is a lot of science in a short time and the inspiration for a barebones, return-to-the-Moon strategy called Daylight Exploration. The Daylight Exploration approach poses an answer to the question, What could the Apollo crew have done with more time and today s robotics? In contrast to more ambitious and expensive strategies that create outposts then rely on pressurized rovers to drive to the science sites, Daylight Exploration is a low-overhead approach conceived to land near the scientific site, conduct Apollo-like exploration then leave before the sun goes down. A key motivation behind Daylight Exploration is cost reduction, but it does not come at the expense of scientific exploration. As a goal, Daylight Exploration provides access to the top 10 science sites by using the best capabilities of human and robotic exploration. Most science sites are within an equatorial band of 26 degrees latitude and on the Moon, at the equator, the day is 14 Earth days long; even more important, the lunar night is 14 days long. Human missions are constrained to 12 days because the energy storage systems required to operate during the lunar night adds mass, complexity and cost. In addition, short missions are beneficial because they require fewer consumables, do not require an airlock, reduce radiation exposure, minimize the dwell-time for the ascent and orbiting propulsion systems and allow a low-mass, campout accommodations. Key to Daylight Exploration is the use of piloted rovers used as tele-operated science platforms. Rovers are launched before or with the crew, and continue to operate between crew visits analyzing and collecting samples during the lunar daylight

  6. Feature isolation and quantification of evolving datasets

    NASA Technical Reports Server (NTRS)

    1994-01-01

    Identifying and isolating features is an important part of visualization and a crucial step for the analysis and understanding of large time-dependent data sets (either from observation or simulation). In this proposal, we address these concerns, namely the investigation and implementation of basic 2D and 3D feature based methods to enhance current visualization techniques and provide the building blocks for automatic feature recognition, tracking, and correlation. These methods incorporate ideas from scientific visualization, computer vision, image processing, and mathematical morphology. Our focus is in the area of fluid dynamics, and we show the applicability of these methods to the quantification and tracking of three-dimensional vortex and turbulence bursts.

  7. Trends in Scientific Publishing at Springer

    NASA Astrophysics Data System (ADS)

    Eichhorn, Guenther

    Scientific publishing has undergone tremendous changes in the last decade, and it is still evolving rapidly. This article describes some of the issues that are facing scientific publishers, and shows some examples of what one of the commercial publishers, Springer, has done and is working on, in order to stay abreast of these changes and to embrace the new technologies that become available. Springer has moved rapidly into the digital age and has by now digitized almost all its journal content and a significant part of its book content. We have developed new capabilities that make use of the new technologies available and are in the process of further utilizing these new possibilities. Web products like AuthorMapper, SpringerProtocols, and Social Networking sites explore some of these new capabilities. We will continue to explore enhancements of our scientific publishing efforts to provide new possibilities for communicating scientific research.

  8. A new bed elevation dataset for Greenland

    NASA Astrophysics Data System (ADS)

    Griggs, J. A.; Bamber, J. L.; Hurkmans, R. T. W. L.; Dowdesewell, J. A.; Gogineni, S. P.; Howat, I.; Mouginot, J.; Paden, J.; Palmer, S.; Rignot, E.; Steinhage, D.

    2012-11-01

    We present a new bed elevation dataset for Greenland derived from a combination of multiple airborne ice thickness surveys undertaken between the 1970s and 2011. Around 344 000 line kilometres of airborne data were used, with the majority of this having been collected since the year 2000, when the last comprehensive compilation was undertaken. The airborne data were combined with satellite-derived elevations for non glaciated terrain to produce a consistent bed digital elevation model (DEM) over the entire island including across the glaciated/ice free boundary. The DEM was extended to the continental margin with the aid of bathymetric data, primarily from a compilation for the Arctic. Ice shelf thickness was determined where a floating tongue exists, in particular in the north. The across-track spacing between flight lines warranted interpolation at 1 km postings near the ice sheet margin and 2.5 km in the interior. Grids of ice surface elevation, error estimates for the DEM, ice thickness and data sampling density were also produced alongside a mask of land/ocean/grounded ice/floating ice. Errors in bed elevation range from a minimum of ±6 m to about ±200 m, as a function of distance from an observation and local topographic variability. A comparison with the compilation published in 2001 highlights the improvement in resolution afforded by the new data sets, particularly along the ice sheet margin, where ice velocity is highest and changes most marked. We use the new bed and surface DEMs to calculate the hydraulic potential for subglacial flow and present the large scale pattern of water routing. We estimate that the volume of ice included in our land/ice mask would raise eustatic sea level by 7.36 m, excluding any solid earth effects that would take place during ice sheet decay.

  9. The need for a national LIDAR dataset

    USGS Publications Warehouse

    Stoker, Jason M.; Harding, David; Parrish, Jay

    2008-01-01

    On May 21st and 22nd 2008, the U.S. Geological Survey (USGS), the National Aeronautics and Space Administration (NASA), and the Association of American State Geologists (AASG) hosted the Second National Light Detection and Ranging (Lidar) Initiative Strategy Meeting at USGS Headquarters in Reston, Virginia. The USGS is taking the lead in cooperation with many partners to design and implement a future high-resolution National Lidar Dataset. Initial work is focused on determining viability, developing requirements and specifi cations, establishing what types of information contained in a lidar signal are most important, and identifying key stakeholders and their respective roles. In February 2007, USGS hosted the fi rst National Lidar Initiative Strategy Meeting at USGS Headquarters in Virginia. The presentations and a published summary report from the fi rst meeting can be found on the Center for Lidar Information Coordination and Knowledge (CLICK) Website: http://lidar.cr.usgs.gov. The fi rst meeting demonstrated the public need for consistent lidar data at the national scale. The goals of the second meeting were to further expand on the ideas and information developed in the fi rst meeting, to bring more stakeholders together, to both refi ne and expand on the requirements and capabilities needed, and to discuss an organizational and funding approach for an initiative of this magnitude. The approximately 200 participants represented Federal, State, local, commercial and academic interests. The second meeting included a public solicitation for presentations and posters to better democratize the workshop. All of the oral presentation abstracts that were submitted were accepted, and the 25 poster submissions augmented and expanded upon the oral presentations. The presentations from this second meeting, including audio, can be found on CLICK at http://lidar.cr.usgs.gov/national_lidar_2008.php. Based on the presentations and the discussion sessions, the following

  10. A reference GNSS tropospheric dataset over Europe.

    NASA Astrophysics Data System (ADS)

    Pacione, Rosa; Di Tomaso, Simona

    2016-04-01

    The present availability of 18 years of GNSS data belonging to the European Permanent Network (EPN, http://www.epncb.oma.be/) is a valuable database for the development of a climate data record of GNSS tropospheric products over Europe. This dataset has high potential for monitoring trend and variability in atmospheric water vapour, improving the knowledge of climatic trends of atmospheric water vapour and being useful for global and regional NWP reanalyses as well as climate model simulations. In the framework of the EPN-Repro2, a second reprocessing campaign of the EPN, five Analysis Centres have homogenously reprocessed the EPN network for the 1996-2013. Three Analysis Centres are providing homogenously reprocessed solutions for the entire network, which are analyzed by the three different software packages: Bernese, GAMIT and GIPSY-OASIS. Smaller subnetworks based on Bernese 5.2 are also provided. A huge effort is made for providing solutions that are the basis for deriving new coordinates, velocities and troposphere parameters, Zenith Tropospheric Delays and Horizontal Gradients, for the entire EPN. These individual contributions are combined in order to provide the official EPN reprocessed products. A preliminary tropospheric combined solution for the period 1996-2013 has been carried out. It is based on all the available homogenously reprocessed solutions and it offers the possibility to assess each of them prior to the ongoing final combination. We will present the results of the EPN Repro2 tropospheric combined products and how the climate community will benefit from them. Aknowledgment.The EPN Repro2 working group is acknowledged for providing the EPN solutions used in this work. E-GEOS activity is carried out in the framework of ASI contract 2015-050-R.0.

  11. Integrating diverse datasets improves developmental enhancer prediction.

    PubMed

    Erwin, Genevieve D; Oksenberg, Nir; Truty, Rebecca M; Kostka, Dennis; Murphy, Karl K; Ahituv, Nadav; Pollard, Katherine S; Capra, John A

    2014-06-01

    Gene-regulatory enhancers have been identified using various approaches, including evolutionary conservation, regulatory protein binding, chromatin modifications, and DNA sequence motifs. To integrate these different approaches, we developed EnhancerFinder, a two-step method for distinguishing developmental enhancers from the genomic background and then predicting their tissue specificity. EnhancerFinder uses a multiple kernel learning approach to integrate DNA sequence motifs, evolutionary patterns, and diverse functional genomics datasets from a variety of cell types. In contrast with prediction approaches that define enhancers based on histone marks or p300 sites from a single cell line, we trained EnhancerFinder on hundreds of experimentally verified human developmental enhancers from the VISTA Enhancer Browser. We comprehensively evaluated EnhancerFinder using cross validation and found that our integrative method improves the identification of enhancers over approaches that consider a single type of data, such as sequence motifs, evolutionary conservation, or the binding of enhancer-associated proteins. We find that VISTA enhancers active in embryonic heart are easier to identify than enhancers active in several other embryonic tissues, likely due to their uniquely high GC content. We applied EnhancerFinder to the entire human genome and predicted 84,301 developmental enhancers and their tissue specificity. These predictions provide specific functional annotations for large amounts of human non-coding DNA, and are significantly enriched near genes with annotated roles in their predicted tissues and lead SNPs from genome-wide association studies. We demonstrate the utility of EnhancerFinder predictions through in vivo validation of novel embryonic gene regulatory enhancers from three developmental transcription factor loci. Our genome-wide developmental enhancer predictions are freely available as a UCSC Genome Browser track, which we hope will enable

  12. The KIT Motion-Language Dataset.

    PubMed

    Plappert, Matthias; Mandery, Christian; Asfour, Tamim

    2016-12-01

    Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities based on natural language input. However, although there have been years of research in this area, no standardized and openly available data set exists to support the development and evaluation of such systems. We, therefore, propose the Karlsruhe Institute of Technology (KIT) Motion-Language Dataset, which is large, open, and extensible. We aggregate data from multiple motion capture databases and include them in our data set using a unified representation that is independent of the capture system or marker set, making it easy to work with the data regardless of its origin. To obtain motion annotations in natural language, we apply a crowd-sourcing approach and a web-based tool that was specifically build for this purpose, the Motion Annotation Tool. We thoroughly document the annotation process itself and discuss gamification methods that we used to keep annotators motivated. We further propose a novel method, perplexity-based selection, which systematically selects motions for further annotation that are either under-represented in our data set or that have erroneous annotations. We show that our method mitigates the two aforementioned problems and ensures a systematic annotation process. We provide an in-depth analysis of the structure and contents of our resulting data set, which, as of October 10, 2016, contains 3911 motions with a total duration of 11.23 hours and 6278 annotations in natural language that contain 52,903 words. We believe this makes our data set an excellent choice that enables more transparent and comparable research in this important area.

  13. Human exploration of Mars.

    PubMed

    Gwynne, O; McKay, C; Zubrin, R

    1991-06-01

    The human exploration of Mars has the potential to return a rich harvest of scientific information about that planet, its possible past biological history and the prospects for future habitation by Earthly life. The realization of that potential will require new approaches and new technologies--a whole new paradigm in space exploration. Picture yourself exploring the surface of Mars, where your task involves conducting a detailed investigation of features larger than the United States in order to uncover a record of planetary history spanning over four billion years.

  14. Publishing datasets with eSciDoc and panMetaDocs

    NASA Astrophysics Data System (ADS)

    Ulbricht, D.; Klump, J.; Bertelmann, R.

    2012-04-01

    Currently serveral research institutions worldwide undertake considerable efforts to have their scientific datasets published and to syndicate them to data portals as extensively described objects identified by a persistent identifier. This is done to foster the reuse of data, to make scientific work more transparent, and to create a citable entity that can be referenced unambigously in written publications. GFZ Potsdam established a publishing workflow for file based research datasets. Key software components are an eSciDoc infrastructure [1] and multiple instances of the data curation tool panMetaDocs [2]. The eSciDoc repository holds data objects and their associated metadata in container objects, called eSciDoc items. A key metadata element in this context is the publication status of the referenced data set. PanMetaDocs, which is based on PanMetaWorks [3], is a PHP based web application that allows to describe data with any XML-based metadata schema. The metadata fields can be filled with static or dynamic content to reduce the number of fields that require manual entries to a minimum and make use of contextual information in a project setting. Access rights can be applied to set visibility of datasets to other project members and allow collaboration on and notifying about datasets (RSS) and interaction with the internal messaging system, that was inherited from panMetaWorks. When a dataset is to be published, panMetaDocs allows to change the publication status of the eSciDoc item from status "private" to "submitted" and prepare the dataset for verification by an external reviewer. After quality checks, the item publication status can be changed to "published". This makes the data and metadata available through the internet worldwide. PanMetaDocs is developed as an eSciDoc application. It is an easy to use graphical user interface to eSciDoc items, their data and metadata. It is also an application supporting a DOI publication agent during the process of

  15. Five year global dataset: NMC operational analyses (1978 to 1982)

    NASA Technical Reports Server (NTRS)

    Straus, David; Ardizzone, Joseph

    1987-01-01

    This document describes procedures used in assembling a five year dataset (1978 to 1982) using NMC Operational Analysis data. These procedures entailed replacing missing and unacceptable data in order to arrive at a complete dataset that is continuous in time. In addition, a subjective assessment on the integrity of all data (both preliminary and final) is presented. Documentation on tapes comprising the Five Year Global Dataset is also included.

  16. Promoting Science Learning and Scientific Identification through Contemporary Scientific Investigations

    NASA Astrophysics Data System (ADS)

    Van Horne, Katie

    This dissertation investigates the implementation issues and the educational opportunities associated with "taking the practice turn" in science education. This pedagogical shift focuses instructional experiences on engaging students in the epistemic practices of science both to learn the core ideas of the disciplines, as well as to gain an understanding of and personal connection to the scientific enterprise. In Chapter 2, I examine the teacher-researcher co-design collaboration that supported the classroom implementation of a year-long, project-based biology curriculum that was under development. This study explores the dilemmas that arose when teachers implemented a new intervention and how the dilemmas arose and were managed throughout the collaboration of researchers and teachers and between the teachers. In the design-based research of Chapter 3, I demonstrate how students' engagement in epistemic practices in contemporary science investigations supported their conceptual development about genetics. The analysis shows how this involved a complex interaction between the scientific, school and community practices in students' lives and how through varied participation in the practices students come to write about and recognize how contemporary investigations can give them leverage for science-based action outside of the school setting. Finally, Chapter 4 explores the characteristics of learning environments for supporting the development of scientific practice-linked identities. Specific features of the learning environment---access to the intellectual work of the domain, authentic roles and accountability, space to make meaningful contributions in relation to personal interests, and practice-linked identity resources that arose from interactions in the learning setting---supported learners in stabilizing practice-linked science identities through their engagement in contemporary scientific practices. This set of studies shows that providing students with the

  17. Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset | Office of Cancer Genomics

    Cancer.gov

    Identifying genetic alterations that prime a cancer cell to respond to a particular therapeutic agent can facilitate the development of precision cancer medicines. Cancer cell-line (CCL) profiling of small-molecule sensitivity has emerged as an unbiased method to assess the relationships between genetic or cellular features of CCLs and small-molecule response. Here, we developed annotated cluster multidimensional enrichment analysis to explore the associations between groups of small molecules and groups of CCLs in a new, quantitative sensitivity dataset.

  18. Virtual Environments in Scientific Visualization

    NASA Technical Reports Server (NTRS)

    Bryson, Steve; Lisinski, T. A. (Technical Monitor)

    1994-01-01

    Virtual environment technology is a new way of approaching the interface between computers and humans. Emphasizing display and user control that conforms to the user's natural ways of perceiving and thinking about space, virtual environment technologies enhance the ability to perceive and interact with computer generated graphic information. This enhancement potentially has a major effect on the field of scientific visualization. Current examples of this technology include the Virtual Windtunnel being developed at NASA Ames Research Center. Other major institutions such as the National Center for Supercomputing Applications and SRI International are also exploring this technology. This talk will be describe several implementations of virtual environments for use in scientific visualization. Examples include the visualization of unsteady fluid flows (the virtual windtunnel), the visualization of geodesics in curved spacetime, surface manipulation, and examples developed at various laboratories.

  19. An Introduction to Scientific Masculinities.

    PubMed

    Milam, Erika Lorraine; Nye, Robert A

    2015-01-01

    This volume seeks to integrate gender analysis into the global history of science and medicine from the late Middle Ages to the present by focusing on masculinity, the part of the gender equation that has received the least attention from scholars. The premise of the volume is that social constructions of masculinity function simultaneously as foils for femininity and as methods of differentiating between "kinds" of men. In exploring scientific masculinities without taking the dominance of men and masculinity in the sciences for granted, we ask, What is masculinity and how does it operate in science? Our answers remind us that gender is at once an analytical category and a historical object. The essays are divided into three sections that in turn emphasize the importance of gender to the professionalization of scientific, technological, and medical practices, the spaces in which such labor is performed, and the ways that sex, gender, and sexual orientation are measured and serve as metaphors in society and culture.

  20. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect

    Alexander, David A.; Ananthan, Balamurali; Johnson, Tony; Serbo, Victor; /SLAC

    2007-01-10

    We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

  1. Pgu-Face: A dataset of partially covered facial images.

    PubMed

    Salari, Seyed Reza; Rostami, Habib

    2016-12-01

    In this article we introduce a human face image dataset. Images were taken in close to real-world conditions using several cameras, often mobile phone׳s cameras. The dataset contains 224 subjects imaged under four different figures (a nearly clean-shaven countenance, a nearly clean-shaven countenance with sunglasses, an unshaven or stubble face countenance, an unshaven or stubble face countenance with sunglasses) in up to two recording sessions. Existence of partially covered face images in this dataset could reveal the robustness and efficiency of several facial image processing algorithms. In this work we present the dataset and explain the recording method.

  2. Strategy for outer planets exploration

    NASA Technical Reports Server (NTRS)

    1975-01-01

    NASA's Planetary Programs Office formed a number of scientific working groups to study in depth the potential scientific return from the various candidate missions to the outer solar system. The results of these working group studies were brought together in a series of symposia to evaluate the potential outer planet missions and to discuss strategies for exploration of the outer solar system that were consistent with fiscal constraints and with anticipated spacecraft and launch vehicle capabilities. A logical, scientifically sound, and cost effective approach to exploration of the outer solar system is presented.

  3. Dynamically stable implosions in a large simulation dataset

    NASA Astrophysics Data System (ADS)

    Peterson, J. Luc; Field, John; Humbird, Kelli; Brandon, Scott; Langer, Steve; Nora, Ryan; Spears, Brian

    2016-10-01

    Asymmetric implosion drive can severely impact the performance of inertial confinement fusion capsules. In particular the time-varying radiation environment produced in near-vacuum hohlraum experiments at the National Ignition Facility is thought to limit the conversion efficiency of shell kinetic energy into hotspot internal energy. To investigate the role of dynamic asymmetries in implosion behavior we have created a large database of 2D capsule implosions of varying drive amplitude, drive asymmetry and capsule gas fill that spans 13 dimensions and consists of over 60,000 individual simulations. A novel in-transit analysis scheme allowed for the real-time processing of petabytes of raw data into hundreds of terabytes of physical metrics and synthetic images, and supervised learning algorithms identified regions of parameter space that robustly produce high yield. We will discuss the first results from this dataset and explore the dynamics of implosions that produce significant yield under asymmetric drives. This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, Lawrence Livermore National Security, LLC. LLNL-ABS-697262.

  4. Dataset on daytime outdoor thermal comfort for Belo Horizonte, Brazil.

    PubMed

    Hirashima, Simone Queiroz da Silveira; Assis, Eleonora Sad de; Nikolopoulou, Marialena

    2016-12-01

    This dataset describe microclimatic parameters of two urban open public spaces in the city of Belo Horizonte, Brazil; physiological equivalent temperature (PET) index values and the related subjective responses of interviewees regarding thermal sensation perception and preference and thermal comfort evaluation. Individuals and behavioral characteristics of respondents were also presented. Data were collected at daytime, in summer and winter, 2013. Statistical treatment of this data was firstly presented in a PhD Thesis ("Percepção sonora e térmica e avaliação de conforto em espaços urbanos abertos do município de Belo Horizonte - MG, Brasil" (Hirashima, 2014) [1]), providing relevant information on thermal conditions in these locations and on thermal comfort assessment. Up to now, this data was also explored in the article "Daytime Thermal Comfort in Urban Spaces: A Field Study in Brazil" (Hirashima et al., in press) [2]. These references are recommended for further interpretation and discussion.

  5. A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity.

    PubMed

    Huang, Lijie; Huang, Taicheng; Zhen, Zonglei; Liu, Jia

    2016-03-15

    We present a test-retest dataset for evaluation of long-term reliability of measures from structural and resting-state functional magnetic resonance imaging (sMRI and rfMRI) scans. The repeated scan dataset was collected from 61 healthy adults in two sessions using highly similar imaging parameters at an interval of 103-189 days. However, as the imaging parameters were not completely identical, the reliability estimated from this dataset shall reflect the lower bounds of the true reliability of sMRI/rfMRI measures. Furthermore, in conjunction with other test-retest datasets, our dataset may help explore the impact of different imaging parameters on reliability of sMRI/rfMRI measures, which is especially critical for assessing datasets collected from multiple centers. In addition, intelligence quotient (IQ) was measured for each participant using Raven's Advanced Progressive Matrices. The data can thus be used for purposes other than assessing reliability of sMRI/rfMRI alone. For example, data from each single session could be used to associate structural and functional measures of the brain with the IQ metrics to explore brain-IQ association.

  6. A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity

    PubMed Central

    Huang, Lijie; Huang, Taicheng; Zhen, Zonglei; Liu, Jia

    2016-01-01

    We present a test-retest dataset for evaluation of long-term reliability of measures from structural and resting-state functional magnetic resonance imaging (sMRI and rfMRI) scans. The repeated scan dataset was collected from 61 healthy adults in two sessions using highly similar imaging parameters at an interval of 103–189 days. However, as the imaging parameters were not completely identical, the reliability estimated from this dataset shall reflect the lower bounds of the true reliability of sMRI/rfMRI measures. Furthermore, in conjunction with other test-retest datasets, our dataset may help explore the impact of different imaging parameters on reliability of sMRI/rfMRI measures, which is especially critical for assessing datasets collected from multiple centers. In addition, intelligence quotient (IQ) was measured for each participant using Raven’s Advanced Progressive Matrices. The data can thus be used for purposes other than assessing reliability of sMRI/rfMRI alone. For example, data from each single session could be used to associate structural and functional measures of the brain with the IQ metrics to explore brain-IQ association. PMID:26978040

  7. The Evolution of Information Management in Oceanographic Exploration

    NASA Astrophysics Data System (ADS)

    Reser, B.; Mesick, S.; Lobecker, E.

    2012-12-01

    Emerging technologies in data collection, processing, and telecommunication have made data management a vital and ever evolving component of scientific research and exploration. Automation and streamlining of these technologies have enabled a paradigm shift in the approach to ocean research aboard the NOAA Ship Okeanos Explorer. Telepresence technologies allow the real time collaboration of at sea technicians and scientists with shore side scientists as well as near real time access to the datasets being collected. This approach has allowed for a large team of shore side experts in various fields to drive at-sea collection and exploration efforts, enabling the analysis and evaluation of as high quality data as possible. Automated and standardized data management efforts that have been integrated into this model allow for the rapid and efficient collection, processing, and archival of the information in national public archives. As new sampling and survey technologies are developed they have been, and will continue to be, adapted into the existing end-to-end information management model. Most recently this was accomplished in a collaborative effort between NOAA, NSF, WHOI, Duke, URI, and the USGS in a cruise along the Blake Ridge and Cape Fear Diapirs. This cruise successfully integrated shipboard data collection with the Sentry AUV in the search for, and exploration of, cold seep communities along the US Atlantic Margin.

  8. Investigating gait recognition in the short-wave infrared (SWIR) spectrum: dataset and challenges

    NASA Astrophysics Data System (ADS)

    DeCann, Brian; Ross, Arun; Dawson, Jeremy

    2013-05-01

    In the biometrics community, challenge datasets are often released to determine the robustness of state-of-the- art algorithms to conditions that can confound recognition accuracy. In the context of automated human gait recognition, evaluation has predominantly been conducted on video data acquired in the active visible spectral band, although recent literature has explored recognition in the passive thermal band. The advent of sophisticated sensors has piqued interest in performing gait recognition in other spectral bands such as short-wave infrared (SWIR), due to their use in military-based tactical applications and the possibility of operating in nighttime environments. Further, in many operational scenarios, the environmental variables are not controlled, thereby posing several challenges to traditional recognition schemes. In this work, we discuss the possibility of performing gait recognition in the SWIR spectrum by first assembling a dataset, referred to as the WVU Outdoor SWIR Gait (WOSG) Dataset, and then evaluate the performance of three gait recognition algorithms on the dataset. The dataset consists of 155 subjects and represents gait information acquired under multiple walking paths in an uncontrolled, outdoor environment. Detailed experimental analysis suggests the benefits of distributing this new challenging dataset to the broader research community. In particular, the following observations were made: (a) the importance of SWIR imagery in acquiring data covertly for surveillance applications; (b) the difficulty in extracting human silhouettes in low-contrast SWIR imagery; (c) the impact of silhouette quality on overall recognition accuracy; (d) the possibility of matching gait sequences pertaining to different walking trajectories; and (e) the need for developing sophisticated gait recognition algorithms to handle data acquired in unconstrained environments.

  9. Web-based visualization of very large scientific astronomy imagery

    NASA Astrophysics Data System (ADS)

    Bertin, E.; Pillay, R.; Marmo, C.

    2015-04-01

    Visualizing and navigating through large astronomy images from a remote location with current astronomy display tools can be a frustrating experience in terms of speed and ergonomics, especially on mobile devices. In this paper, we present a high performance, versatile and robust client-server system for remote visualization and analysis of extremely large scientific images. Applications of this work include survey image quality control, interactive data query and exploration, citizen science, as well as public outreach. The proposed software is entirely open source and is designed to be generic and applicable to a variety of datasets. It provides access to floating point data at terabyte scales, with the ability to precisely adjust image settings in real-time. The proposed clients are light-weight, platform-independent web applications built on standard HTML5 web technologies and compatible with both touch and mouse-based devices. We put the system to the test and assess the performance of the system and show that a single server can comfortably handle more than a hundred simultaneous users accessing full precision 32 bit astronomy data.

  10. Scientific integrity memorandum

    NASA Astrophysics Data System (ADS)

    Showstack, Randy

    2009-03-01

    U.S. President Barack Obama signed a presidential memorandum on 9 March to help restore scientific integrity in government decision making. The memorandum directs the White House Office of Science and Technology Policy to develop a strategy within 120 days that ensures that "the selection of scientists and technology professionals for science and technology positions in the executive branch is based on those individuals' scientific and technological knowledge, credentials, and experience; agencies make available to the public the scientific or technological findings or conclusions considered or relied upon in policy decisions; agencies use scientific and technological information that has been subject to well-established scientific processes such as peer review; and agencies have appropriate rules and procedures to ensure the integrity of the scientific process within the agency, including whistleblower protection."

  11. Development of a global historic monthly mean precipitation dataset

    NASA Astrophysics Data System (ADS)

    Yang, Su; Xu, Wenhui; Xu, Yan; Li, Qingxiang

    2016-04-01

    Global historic precipitation dataset is the base for climate and water cycle research. There have been several global historic land surface precipitation datasets developed by international data centers such as the US National Climatic Data Center (NCDC), European Climate Assessment & Dataset project team, Met Office, etc., but so far there are no such datasets developed by any research institute in China. In addition, each dataset has its own focus of study region, and the existing global precipitation datasets only contain sparse observational stations over China, which may result in uncertainties in East Asian precipitation studies. In order to take into account comprehensive historic information, users might need to employ two or more datasets. However, the non-uniform data formats, data units, station IDs, and so on add extra difficulties for users to exploit these datasets. For this reason, a complete historic precipitation dataset that takes advantages of various datasets has been developed and produced in the National Meteorological Information Center of China. Precipitation observations from 12 sources are aggregated, and the data formats, data units, and station IDs are unified. Duplicated stations with the same ID are identified, with duplicated observations removed. Consistency test, correlation coefficient test, significance t-test at the 95% confidence level, and significance F-test at the 95% confidence level are conducted first to ensure the data reliability. Only those datasets that satisfy all the above four criteria are integrated to produce the China Meteorological Administration global precipitation (CGP) historic precipitation dataset version 1.0. It contains observations at 31 thousand stations with 1.87 × 107 data records, among which 4152 time series of precipitation are longer than 100 yr. This dataset plays a critical role in climate research due to its advantages in large data volume and high density of station network, compared to

  12. Accuracy assessment of gridded precipitation datasets in the Himalayas

    NASA Astrophysics Data System (ADS)

    Khan, A.

    2015-12-01

    Accurate precipitation data are vital for hydro-climatic modelling and water resources assessments. Based on mass balance calculations and Turc-Budyko analysis, this study investigates the accuracy of twelve widely used precipitation gridded datasets for sub-basins in the Upper Indus Basin (UIB) in the Himalayas-Karakoram-Hindukush (HKH) region. These datasets are: 1) Global Precipitation Climatology Project (GPCP), 2) Climate Prediction Centre (CPC) Merged Analysis of Precipitation (CMAP), 3) NCEP / NCAR, 4) Global Precipitation Climatology Centre (GPCC), 5) Climatic Research Unit (CRU), 6) Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), 7) Tropical Rainfall Measuring Mission (TRMM), 8) European Reanalysis (ERA) interim data, 9) PRINCETON, 10) European Reanalysis-40 (ERA-40), 11) Willmott and Matsuura, and 12) WATCH Forcing Data based on ERA interim (WFDEI). Precipitation accuracy and consistency was assessed by physical mass balance involving sum of annual measured flow, estimated actual evapotranspiration (average of 4 datasets), estimated glacier mass balance melt contribution (average of 4 datasets), and ground water recharge (average of 3 datasets), during 1999-2010. Mass balance assessment was complemented by Turc-Budyko non-dimensional analysis, where annual precipitation, measured flow and potential evapotranspiration (average of 5 datasets) data were used for the same period. Both analyses suggest that all tested precipitation datasets significantly underestimate precipitation in the Karakoram sub-basins. For the Hindukush and Himalayan sub-basins most datasets underestimate precipitation, except ERA-interim and ERA-40. The analysis indicates that for this large region with complicated terrain features and stark spatial precipitation gradients the reanalysis datasets have better consistency with flow measurements than datasets derived from records of only sparsely distributed climatic

  13. Scientific Journalism in Armenia

    NASA Astrophysics Data System (ADS)

    Farmanyan, S. V.; Mickaelian, A. M.

    2015-07-01

    In the present study, the problems of scientific journalism and activities of Armenian science journalists are presented. Scientific journalism in the world, forms of its activities, Armenian Astronomical Society (ArAS) press-releases and their subjects, ArAS website "Mass Media News" section, annual and monthly calendars of astronomical events, and "Astghagitak" online journal are described. Most interesting astronomical subjects involved in scientific journalism, reasons for non-satisfactory science outreach and possible solutions are discussed.

  14. Scientific Report (2002-2004)

    SciTech Connect

    Bedros Afeyan

    2004-05-11

    OAK-B135 An overview of our work as well as two recent publications are contained in this scientific report. The work reported here revolves around the discovery of new coherent nonlinear kinetic waves in laser produced plasmas, we call KEEN waves (kinetic, electrostatic electron nonlinear waves), and optical mixing experiments on the Imega laser system at LLE with blue-green light for the exploration of ways to suppress parametric instabilities in long scale length, long pulsewidth laser-plasmas such as those which will be found on NIF or LMJ.

  15. Mars exploration: follow the water

    NASA Technical Reports Server (NTRS)

    Park, Young Ho

    2004-01-01

    Over the centuries, the red planet Mars has been a subject of imagination as well as intense scientific interest. As the overwhelming success of two Mars Exploration Rovers unfolds before us, this article provides an overview of and rationale for NASA's Mars exploration program.

  16. Dataset for Alaska marine fish ecology catalog

    USGS Publications Warehouse

    Thorsteinson, Lyman K.

    2017-01-01

    This collection of GIS layers was prepared for the report Alaska Arctic Marine Fish Ecology Catalog (U.S. Geological Survey Scientific Investigations Report 2016–5038). The layers display geographic distribution and sampling locations for Arctic marine fish species in the region of United States sectors of the Chukchi and Beaufort Seas. Certain diadromous species (for example, Pacific salmon, char, and whitefishes) are treated as marine fishes (McDowall, 1987) because much of their life cycle is in marine and brackish environments. This synthesis of information is meant to provide current information and understanding of this fauna and its relative vulnerability to changing Arctic conditions.There are 104 species in the collection - some species have both polygon and point data layers. The report (SIR 2016-5038) also describes for each species its names - species, common, and colloquial; ecological role; physical description/attributes; range (geographic); relative abundance; depth range; habitats and life history; behavior; populations or stocks, reproduction, food and feeding, biological interactions, resilience, traditional and cultural importance, commercial fisheries, potential effects of climate change, areas for future research, cited references, and bibliography.  The published report has one map for each species showing the polygon and point data as well as land and relevant administrative boundaries. Although some of the species also have an inland water presence, this report was concerned only with their marine conditions; therefore, the land component (from the original sources) has been clipped and removed. The distribution areas may be greater in extent than that shown in the report map bounding box limits. Distributions of marine fishes are shown in adjacent Arctic seas where reliable data are available. The report can be accessed at: https://doi.org/10.3133/sir20165038This metadata document describes the collection of species data layers. Each

  17. Managing Large Datasets for Atmospheric Research

    NASA Technical Reports Server (NTRS)

    Chen, Gao

    2015-01-01

    Since the mid-1980s, airborne and ground measurements have been widely used to provide comprehensive characterization of atmospheric composition and processes. Field campaigns have generated a wealth of insitu data and have grown considerably over the years in terms of both the number of measured parameters and the data volume. This can largely be attributed to the rapid advances in instrument development and computing power. The users of field data may face a number of challenges spanning data access, understanding, and proper use in scientific analysis. This tutorial is designed to provide an introduction to using data sets, with a focus on airborne measurements, for atmospheric research. The first part of the tutorial provides an overview of airborne measurements and data discovery. This will be followed by a discussion on the understanding of airborne data files. An actual data file will be used to illustrate how data are reported, including the use of data flags to indicate missing data and limits of detection. Retrieving information from the file header will be discussed, which is essential to properly interpreting the data. Field measurements are typically reported as a function of sampling time, but different instruments often have different sampling intervals. To create a combined data set, the data merge process (interpolation of all data to a common time base) will be discussed in terms of the algorithm, data merge products available from airborne studies, and their application in research. Statistical treatment of missing data and data flagged for limit of detection will also be covered in this section. These basic data processing techniques are applicable to both airborne and ground-based observational data sets. Finally, the recently developed Toolsets for Airborne Data (TAD) will be introduced. TAD (tad.larc.nasa.gov) is an airborne data portal offering tools to create user defined merged data products with the capability to provide descriptive

  18. Interface between astrophysical datasets and distributed database management systems (DAVID)

    NASA Technical Reports Server (NTRS)

    Iyengar, S. S.

    1988-01-01

    This is a status report on the progress of the DAVID (Distributed Access View Integrated Database Management System) project being carried out at Louisiana State University, Baton Rouge, Louisiana. The objective is to implement an interface between Astrophysical datasets and DAVID. Discussed are design details and implementation specifics between DAVID and astrophysical datasets.

  19. Querying Patterns in High-Dimensional Heterogenous Datasets

    ERIC Educational Resources Information Center

    Singh, Vishwakarma

    2012-01-01

    The recent technological advancements have led to the availability of a plethora of heterogenous datasets, e.g., images tagged with geo-location and descriptive keywords. An object in these datasets is described by a set of high-dimensional feature vectors. For example, a keyword-tagged image is represented by a color-histogram and a…

  20. Really big data: Processing and analysis of large datasets

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Modern animal breeding datasets are large and getting larger, due in part to the recent availability of DNA data for many animals. Computational methods for efficiently storing and analyzing those data are under development. The amount of storage space required for such datasets is increasing rapidl...

  1. Finding Spatio-Temporal Patterns in Large Sensor Datasets

    ERIC Educational Resources Information Center

    McGuire, Michael Patrick

    2010-01-01

    Spatial or temporal data mining tasks are performed in the context of the relevant space, defined by a spatial neighborhood, and the relevant time period, defined by a specific time interval. Furthermore, when mining large spatio-temporal datasets, interesting patterns typically emerge where the dataset is most dynamic. This dissertation is…

  2. Primary Datasets for Case Studies of River-Water Quality

    ERIC Educational Resources Information Center

    Goulder, Raymond

    2008-01-01

    Level 6 (final-year BSc) students undertook case studies on between-site and temporal variation in river-water quality. They used professionally-collected datasets supplied by the Environment Agency. The exercise gave students the experience of working with large, real-world datasets and led to their understanding how the quality of river water is…

  3. Similar data retrieval from enormous datasets on plasma wave spectrum observed by solar-terrestrial satellites

    NASA Astrophysics Data System (ADS)

    Kasahara, Y.; Zhang, F.; Goto, Y.

    2012-12-01

    As the total amount of data measured by scientific spacecraft is drastically increasing in recent years, it is necessary for researchers to develop new computation methods for efficient analysis of these enormous datasets because it is almost impossible to survey all datasets manually. In the present study, we propose a new algorithm for similar data retrieval. Our aim is to develop a new computational technique to discover interesting and/or epoch-making datasets from enormous datasets [1]. There are two issues to be solved for similar data retrieval. One is to develop a general method which can be applied to different types of satellite data, and the other is to improve the efficiency of the retrieval method in the viewpoints of accuracy and speedup of retrieval. We first discuss key descriptors that represent characteristics of the VLF/ELF waves observed by solar-terrestrial satellites such as KAGUYA and Akebono spacecraft. Second we introduce a detailed algorithm for similar data retrieval applied to the system. Faced with a large number of observation data, retrieval using walkthroughs is much time-consuming. In order to search appropriate datasets similar to the reference data within a finite computation time, we adopted the following two step search algorithm. In the first step, we adopted a multi-dimension index structure called the SR-tree (Sphere/Rectangle-tree) in order to pick up appropriate candidates for similar datasets rapidly matching a set of key descriptors at the central point (central grid) of a "test sub-region" with the set of key descriptors at the central point of the "reference sub-region." In the second step (Step 2), the root mean square error between each candidate for the test sub-region and the reference sub-region is calculated one by one. Finally, a list of datasets, which include spectra similar to the requested reference spectrum, is presented to the user. We applied the proposed method to plasma wave spectrum measured by WFC

  4. Characterizing scientific production and consumption in Physics

    PubMed Central

    Zhang, Qian; Perra, Nicola; Gonçalves, Bruno; Ciulla, Fabio; Vespignani, Alessandro

    2013-01-01

    We analyze the entire publication database of the American Physical Society generating longitudinal (50 years) citation networks geolocalized at the level of single urban areas. We define the knowledge diffusion proxy, and scientific production ranking algorithms to capture the spatio-temporal dynamics of Physics knowledge worldwide. By using the knowledge diffusion proxy we identify the key cities in the production and consumption of knowledge in Physics as a function of time. The results from the scientific production ranking algorithm allow us to characterize the top cities for scholarly research in Physics. Although we focus on a single dataset concerning a specific field, the methodology presented here opens the path to comparative studies of the dynamics of knowledge across disciplines and research areas. PMID:23571320

  5. Characterizing scientific production and consumption in Physics

    NASA Astrophysics Data System (ADS)

    Zhang, Qian; Perra, Nicola; Gonçalves, Bruno; Ciulla, Fabio; Vespignani, Alessandro

    2013-04-01

    We analyze the entire publication database of the American Physical Society generating longitudinal (50 years) citation networks geolocalized at the level of single urban areas. We define the knowledge diffusion proxy, and scientific production ranking algorithms to capture the spatio-temporal dynamics of Physics knowledge worldwide. By using the knowledge diffusion proxy we identify the key cities in the production and consumption of knowledge in Physics as a function of time. The results from the scientific production ranking algorithm allow us to characterize the top cities for scholarly research in Physics. Although we focus on a single dataset concerning a specific field, the methodology presented here opens the path to comparative studies of the dynamics of knowledge across disciplines and research areas.

  6. Characterizing scientific production and consumption in physics.

    PubMed

    Zhang, Qian; Perra, Nicola; Gonçalves, Bruno; Ciulla, Fabio; Vespignani, Alessandro

    2013-01-01

    We analyze the entire publication database of the American Physical Society generating longitudinal (50 years) citation networks geolocalized at the level of single urban areas. We define the knowledge diffusion proxy, and scientific production ranking algorithms to capture the spatio-temporal dynamics of Physics knowledge worldwide. By using the knowledge diffusion proxy we identify the key cities in the production and consumption of knowledge in Physics as a function of time. The results from the scientific production ranking algorithm allow us to characterize the top cities for scholarly research in Physics. Although we focus on a single dataset concerning a specific field, the methodology presented here opens the path to comparative studies of the dynamics of knowledge across disciplines and research areas.

  7. Squish: Near-Optimal Compression for Archival of Relational Datasets

    PubMed Central

    Gao, Yihan; Parameswaran, Aditya

    2017-01-01

    Relational datasets are being generated at an alarmingly rapid rate across organizations and industries. Compressing these datasets could significantly reduce storage and archival costs. Traditional compression algorithms, e.g., gzip, are suboptimal for compressing relational datasets since they ignore the table structure and relationships between attributes. We study compression algorithms that leverage the relational structure to compress datasets to a much greater extent. We develop Squish, a system that uses a combination of Bayesian Networks and Arithmetic Coding to capture multiple kinds of dependencies among attributes and achieve near-entropy compression rate. Squish also supports user-defined attributes: users can instantiate new data types by simply implementing five functions for a new class interface. We prove the asymptotic optimality of our compression algorithm and conduct experiments to show the effectiveness of our system: Squish achieves a reduction of over 50% in storage size relative to systems developed in prior work on a variety of real datasets. PMID:28180028

  8. New model for datasets citation and extraction reproducibility in VAMDC

    NASA Astrophysics Data System (ADS)

    Zwölf, Carlo Maria; Moreau, Nicolas; Dubernet, Marie-Lise

    2016-09-01

    In this paper we present a new paradigm for the identification of datasets extracted from the Virtual Atomic and Molecular Data Centre (VAMDC) e-science infrastructure. Such identification includes information on the origin and version of the datasets, references associated to individual data in the datasets, as well as timestamps linked to the extraction procedure. This paradigm is described through the modifications of the language used to exchange data within the VAMDC and through the services that will implement those modifications. This new paradigm should enforce traceability of datasets, favor reproducibility of datasets extraction, and facilitate the systematic citation of the authors having originally measured and/or calculated the extracted atomic and molecular data.

  9. Usefulness of DARPA dataset for intrusion detection system evaluation

    NASA Astrophysics Data System (ADS)

    Thomas, Ciza; Sharma, Vishwas; Balakrishnan, N.

    2008-03-01

    The MIT Lincoln Laboratory IDS evaluation methodology is a practical solution in terms of evaluating the performance of Intrusion Detection Systems, which has contributed tremendously to the research progress in that field. The DARPA IDS evaluation dataset has been criticized and considered by many as a very outdated dataset, unable to accommodate the latest trend in attacks. Then naturally the question arises as to whether the detection systems have improved beyond detecting these old level of attacks. If not, is it worth thinking of this dataset as obsolete? The paper presented here tries to provide supporting facts for the use of the DARPA IDS evaluation dataset. The two commonly used signature-based IDSs, Snort and Cisco IDS, and two anomaly detectors, the PHAD and the ALAD, are made use of for this evaluation purpose and the results support the usefulness of DARPA dataset for IDS evaluation.

  10. Artificial intelligence support for scientific model-building

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.

    1992-01-01

    Scientific model-building can be a time-intensive and painstaking process, often involving the development of large and complex computer programs. Despite the effort involved, scientific models cannot easily be distributed and shared with other scientists. In general, implemented scientific models are complex, idiosyncratic, and difficult for anyone but the original scientific development team to understand. We believe that artificial intelligence techniques can facilitate both the model-building and model-sharing process. In this paper, we overview our effort to build a scientific modeling software tool that aids the scientist in developing and using models. This tool includes an interactive intelligent graphical interface, a high-level domain specific modeling language, a library of physics equations and experimental datasets, and a suite of data display facilities.

  11. Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs

    SciTech Connect

    Yang, Jing; Li, Yuan-Yuan; Li, Yi-Xue; Ye, Zhi-Qiang

    2012-03-02

    Highlights: Black-Right-Pointing-Pointer Proper dataset partition can improve the prediction of deleterious nsSNPs. Black-Right-Pointing-Pointer Partition according to original residue type at nsSNP is a good criterion. Black-Right-Pointing-Pointer Similar strategy is supposed promising in other machine learning problems. -- Abstract: Many non-synonymous SNPs (nsSNPs) are associated with diseases, and numerous machine learning methods have been applied to train classifiers for sorting disease-associated nsSNPs from neutral ones. The continuously accumulated nsSNP data allows us to further explore better prediction approaches. In this work, we partitioned the training data into 20 subsets according to either original or substituted amino acid type at the nsSNP site. Using support vector machine (SVM), training classification models on each subset resulted in an overall accuracy of 76.3% or 74.9% depending on the two different partition criteria, while training on the whole dataset obtained an accuracy of only 72.6%. Moreover, the dataset was also randomly divided into 20 subsets, but the corresponding accuracy was only 73.2%. Our results demonstrated that partitioning the whole training dataset into subsets properly, i.e., according to the residue type at the nsSNP site, will improve the performance of the trained classifiers significantly, which should be valuable in developing better tools for predicting the disease-association of nsSNPs.

  12. The French Muséum national d’histoire naturelle vascular plant herbarium collection dataset

    PubMed Central

    Le Bras, Gwenaël; Pignal, Marc; Jeanson, Marc L.; Muller, Serge; Aupic, Cécile; Carré, Benoît; Flament, Grégoire; Gaudeul, Myriam; Gonçalves, Claudia; Invernón, Vanessa R.; Jabbour, Florian; Lerat, Elodie; Lowry, Porter P.; Offroy, Bérangère; Pimparé, Eva Pérez; Poncy, Odile; Rouhan, Germinal; Haevermans, Thomas

    2017-01-01

    We provide a quantitative description of the French national herbarium vascular plants collection dataset. Held at the Muséum national d’histoire naturelle, Paris, it currently comprises records for 5,400,000 specimens, representing 90% of the estimated total of specimens. Ninety nine percent of the specimen entries are linked to one or more images and 16% have field-collecting information available. This major botanical collection represents the results of over three centuries of exploration and study. The sources of the collection are global, with a strong representation for France, including overseas territories, and former French colonies. The compilation of this dataset was made possible through numerous national and international projects, the most important of which was linked to the renovation of the herbarium building. The vascular plant collection is actively expanding today, hence the continuous growth exhibited by the dataset, which can be fully accessed through the GBIF portal or the MNHN database portal (available at: https://science.mnhn.fr/institution/mnhn/collection/p/item/search/form). This dataset is a major source of data for systematics, global plants macroecological studies or conservation assessments. PMID:28195585

  13. The French Muséum national d'histoire naturelle vascular plant herbarium collection dataset

    NASA Astrophysics Data System (ADS)

    Le Bras, Gwenaël; Pignal, Marc; Jeanson, Marc L.; Muller, Serge; Aupic, Cécile; Carré, Benoît; Flament, Grégoire; Gaudeul, Myriam; Gonçalves, Claudia; Invernón, Vanessa R.; Jabbour, Florian; Lerat, Elodie; Lowry, Porter P.; Offroy, Bérangère; Pimparé, Eva Pérez; Poncy, Odile; Rouhan, Germinal; Haevermans, Thomas

    2017-02-01

    We provide a quantitative description of the French national herbarium vascular plants collection dataset. Held at the Muséum national d'histoire naturelle, Paris, it currently comprises records for 5,400,000 specimens, representing 90% of the estimated total of specimens. Ninety nine percent of the specimen entries are linked to one or more images and 16% have field-collecting information available. This major botanical collection represents the results of over three centuries of exploration and study. The sources of the collection are global, with a strong representation for France, including overseas territories, and former French colonies. The compilation of this dataset was made possible through numerous national and international projects, the most important of which was linked to the renovation of the herbarium building. The vascular plant collection is actively expanding today, hence the continuous growth exhibited by the dataset, which can be fully accessed through the GBIF portal or the MNHN database portal (available at: https://science.mnhn.fr/institution/mnhn/collection/p/item/search/form). This dataset is a major source of data for systematics, global plants macroecological studies or conservation assessments.

  14. The French Muséum national d'histoire naturelle vascular plant herbarium collection dataset.

    PubMed

    Le Bras, Gwenaël; Pignal, Marc; Jeanson, Marc L; Muller, Serge; Aupic, Cécile; Carré, Benoît; Flament, Grégoire; Gaudeul, Myriam; Gonçalves, Claudia; Invernón, Vanessa R; Jabbour, Florian; Lerat, Elodie; Lowry, Porter P; Offroy, Bérangère; Pimparé, Eva Pérez; Poncy, Odile; Rouhan, Germinal; Haevermans, Thomas

    2017-02-14

    We provide a quantitative description of the French national herbarium vascular plants collection dataset. Held at the Muséum national d'histoire naturelle, Paris, it currently comprises records for 5,400,000 specimens, representing 90% of the estimated total of specimens. Ninety nine percent of the specimen entries are linked to one or more images and 16% have field-collecting information available. This major botanical collection represents the results of over three centuries of exploration and study. The sources of the collection are global, with a strong representation for France, including overseas territories, and former French colonies. The compilation of this dataset was made possible through numerous national and international projects, the most important of which was linked to the renovation of the herbarium building. The vascular plant collection is actively expanding today, hence the continuous growth exhibited by the dataset, which can be fully accessed through the GBIF portal or the MNHN database portal (available at: https://science.mnhn.fr/institution/mnhn/collection/p/item/search/form). This dataset is a major source of data for systematics, global plants macroecological studies or conservation assessments.

  15. Measuring the effectiveness of scientific gatekeeping

    PubMed Central

    Siler, Kyle; Lee, Kirby; Bero, Lisa

    2015-01-01

    Peer review is the main institution responsible for the evaluation and gestation of scientific research. Although peer review is widely seen as vital to scientific evaluation, anecdotal evidence abounds of gatekeeping mistakes in leading journals, such as rejecting seminal contributions or accepting mediocre submissions. Systematic evidence regarding the effectiveness—or lack thereof—of scientific gatekeeping is scant, largely because access to rejected manuscripts from journals is rarely available. Using a dataset of 1,008 manuscripts submitted to three elite medical journals, we show differences in citation outcomes for articles that received different appraisals from editors and peer reviewers. Among rejected articles, desk-rejected manuscripts, deemed as unworthy of peer review by editors, received fewer citations than those sent for peer review. Among both rejected and accepted articles, manuscripts with lower scores from peer reviewers received relatively fewer citations when they were eventually published. However, hindsight reveals numerous questionable gatekeeping decisions. Of the 808 eventually published articles in our dataset, our three focal journals rejected many highly cited manuscripts, including the 14 most popular; roughly the top 2 percent. Of those 14 articles, 12 were desk-rejected. This finding raises concerns regarding whether peer review is ill-suited to recognize and gestate the most impactful ideas and research. Despite this finding, results show that in our case studies, on the whole, there was value added in peer review. Editors and peer reviewers generally—but not always—made good decisions regarding the identification and promotion of quality in scientific manuscripts. PMID:25535380

  16. Scientific Notation Watercolor

    ERIC Educational Resources Information Center

    Linford, Kyle; Oltman, Kathleen; Daisey, Peggy

    2016-01-01

    (Purpose) The purpose of this paper is to describe visual literacy, an adapted version of Visual Thinking Strategy (VTS), and an art-integrated middle school mathematics lesson about scientific notation. The intent of this lesson was to provide students with a real life use of scientific notation and exponents, and to motivate them to apply their…

  17. Scientific rigor through videogames.

    PubMed

    Treuille, Adrien; Das, Rhiju

    2014-11-01

    Hypothesis-driven experimentation - the scientific method - can be subverted by fraud, irreproducibility, and lack of rigorous predictive tests. A robust solution to these problems may be the 'massive open laboratory' model, recently embodied in the internet-scale videogame EteRNA. Deploying similar platforms throughout biology could enforce the scientific method more broadly.

  18. 3 CFR - Scientific Integrity

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... Departments and Agencies Science and the scientific process must inform and guide decisions of my..., and protection of national security. The public must be able to trust the science and scientific..., and integrity. By this memorandum, I assign to the Director of the Office of Science and...

  19. Scientific and non-scientific challenges for Operational Earthquake Forecasting

    NASA Astrophysics Data System (ADS)

    Marzocchi, W.

    2015-12-01

    Tracking the time evolution of seismic hazard in time windows shorter than the usual 50-years of long-term hazard models may offer additional opportunities to reduce the seismic risk. This is the target of operational earthquake forecasting (OEF). During the OEF development in Italy we identify several challenges that range from pure science to the more practical interface of science with society. From a scientific point of view, although earthquake clustering is the clearest empirical evidence about earthquake occurrence, and OEF clustering models are the most (successfully) tested hazard models in seismology, we note that some seismologists are still reluctant to accept their scientific reliability. After exploring the motivations of these scientific doubts, we also look into an issue that is often overlooked in this discussion, i.e., in any kind of hazard analysis, we do not use a model because it is the true one, but because it is the better than anything else we can think of. The non-scientific aspects are mostly related to the fact that OEF usually provides weekly probabilities of large eartquakes smaller than 1%. These probabilities are considered by some seismologists too small to be of interest or useful. However, in a recent collaboration with engineers we show that such earthquake probabilities may lead to intolerable individual risk of death. Interestingly, this debate calls for a better definition of the still fuzzy boundaries among the different expertise required for the whole risk mitigation process. The last and probably more pressing challenge is related to the communication to the public. In fact, a wrong message could be useless or even counterproductive. Here we show some progresses that we have made in this field working with communication experts in Italy.

  20. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.

    2007-01-01

    This summary of international mineral exploration activities for 2006 draws upon available information from literature, industry and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analysis of the mineral industry based upon these data.

  1. Atmosphere Explorer set for launch

    NASA Technical Reports Server (NTRS)

    1975-01-01

    The Atmosphere Explorer-D (Explorer-54) is described which will explore in detail an area of the earth's outer atmosphere where important energy transfer, atomic and molecular processes, and chemical reactions occur that are critical to the heat balance of the atmosphere. Data are presented on the mission facts, launch vehicle operations, AE-D/Delta flight events, spacecraft description, scientific instruments, tracking, and data acquisition.

  2. Urban land cover thematic disaggregation, employing datasets from multiple sources and RandomForests modeling

    NASA Astrophysics Data System (ADS)

    Gounaridis, Dimitrios; Koukoulas, Sotirios

    2016-09-01

    Urban land cover mapping has lately attracted a vast amount of attention as it closely relates to a broad scope of scientific and management applications. Late methodological and technological advancements facilitate the development of datasets with improved accuracy. However, thematic resolution of urban land cover has received much less attention so far, a fact that hampers the produced datasets utility. This paper seeks to provide insights towards the improvement of thematic resolution of urban land cover classification. We integrate existing, readily available and with acceptable accuracies datasets from multiple sources, with remote sensing techniques. The study site is Greece and the urban land cover is classified nationwide into five classes, using the RandomForests algorithm. Results allowed us to quantify, for the first time with a good accuracy, the proportion that is occupied by each different urban land cover class. The total area covered by urban land cover is 2280 km2 (1.76% of total terrestrial area), the dominant class is discontinuous dense urban fabric (50.71% of urban land cover) and the least occurring class is discontinuous very low density urban fabric (2.06% of urban land cover).

  3. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.

    2009-01-01

    This summary of international mineral exploration activities for 2008 draws upon available information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry, and presents analyses of exploration activities by the mineral industry based upon these data.

  4. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.; Vasil, R.L.; Nolting, A.

    2011-01-01

    This summary of international mineral exploration activities for the year 2010 draws upon available information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities performed by the mineral industry.

  5. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.; Bourget, M.R.

    2010-01-01

    This summary of international mineral exploration activities for the year 2009 draws upon information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on industry exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities by the mineral industry based upon these data.

  6. Biomorphic Explorers

    NASA Technical Reports Server (NTRS)

    Thakoor, Sarita

    1999-01-01

    This paper presents, in viewgraph form, the first NASA/JPL workshop on Biomorphic Explorers for future missions. The topics include: 1) Biomorphic Explorers: Classification (Based on Mobility and Ambient Environment); 2) Biomorphic Flight Systems: Vision; 3) Biomorphic Explorer: Conceptual Design; 4) Biomorphic Gliders; 5) Summary and Roadmap; 6) Coordinated/Cooperative Exploration Scenario; and 7) Applications. This paper also presents illustrations of the various biomorphic explorers.

  7. Identification of rogue datasets in serial crystallography1

    PubMed Central

    Assmann, Greta; Brehm, Wolfgang; Diederichs, Kay

    2016-01-01

    Advances in beamline optics, detectors and X-ray sources allow new techniques of crystallographic data collection. In serial crystallography, a large number of partial datasets from crystals of small volume are measured. Merging of datasets from different crystals in order to enhance data completeness and accuracy is only valid if the crystals are isomorphous, i.e. sufficiently similar in cell parameters, unit-cell contents and molecular structure. Identification and exclusion of non-isomorphous datasets is therefore indispensable and must be done by means of suitable indicators. To identify rogue datasets, the influence of each dataset on CC1/2 [Karplus & Diederichs (2012 ▸). Science, 336, 1030–1033], the correlation coefficient between pairs of intensities averaged in two randomly assigned subsets of observations, is evaluated. The presented method employs a precise calculation of CC1/2 that avoids the random assignment, and instead of using an overall CC1/2, an average over resolution shells is employed to obtain sensible results. The selection procedure was verified by measuring the correlation of observed (merged) intensities and intensities calculated from a model. It is found that inclusion and merging of non-isomorphous datasets may bias the refined model towards those datasets, and measures to reduce this effect are suggested. PMID:27275144

  8. Viability of Controlling Prosthetic Hand Utilizing Electroencephalograph (EEG) Dataset Signal

    NASA Astrophysics Data System (ADS)

    Miskon, Azizi; A/L Thanakodi, Suresh; Raihan Mazlan, Mohd; Mohd Haziq Azhar, Satria; Nooraya Mohd Tawil, Siti

    2016-11-01

    This project presents the development of an artificial hand controlled by Electroencephalograph (EEG) signal datasets for the prosthetic application. The EEG signal datasets were used as to improvise the way to control the prosthetic hand compared to the Electromyograph (EMG). The EMG has disadvantages to a person, who has not used the muscle for a long time and also to person with degenerative issues due to age factor. Thus, the EEG datasets found to be an alternative for EMG. The datasets used in this work were taken from Brain Computer Interface (BCI) Project. The datasets were already classified for open, close and combined movement operations. It served the purpose as an input to control the prosthetic hand by using an Interface system between Microsoft Visual Studio and Arduino. The obtained results reveal the prosthetic hand to be more efficient and faster in response to the EEG datasets with an additional LiPo (Lithium Polymer) battery attached to the prosthetic. Some limitations were also identified in terms of the hand movements, weight of the prosthetic, and the suggestions to improve were concluded in this paper. Overall, the objective of this paper were achieved when the prosthetic hand found to be feasible in operation utilizing the EEG datasets.

  9. Effects of VR system fidelity on analyzing isosurface visualization of volume datasets.

    PubMed

    Laha, Bireswar; Bowman, Doug A; Socha, John J

    2014-04-01

    Volume visualization is an important technique for analyzing datasets from a variety of different scientific domains. Volume data analysis is inherently difficult because volumes are three-dimensional, dense, and unfamiliar, requiring scientists to precisely control the viewpoint and to make precise spatial judgments. Researchers have proposed that more immersive (higher fidelity) VR systems might improve task performance with volume datasets, and significant results tied to different components of display fidelity have been reported. However, more information is needed to generalize these results to different task types, domains, and rendering styles. We visualized isosurfaces extracted from synchrotron microscopic computed tomography (SR-μCT) scans of beetles, in a CAVE-like display. We ran a controlled experiment evaluating the effects of three components of system fidelity (field of regard, stereoscopy, and head tracking) on a variety of abstract task categories that are applicable to various scientific domains, and also compared our results with those from our prior experiment using 3D texture-based rendering. We report many significant findings. For example, for search and spatial judgment tasks with isosurface visualization, a stereoscopic display provides better performance, but for tasks with 3D texture-based rendering, displays with higher field of regard were more effective, independent of the levels of the other display components. We also found that systems with high field of regard and head tracking improve performance in spatial judgment tasks. Our results extend existing knowledge and produce new guidelines for designing VR systems to improve the effectiveness of volume data analysis.

  10. FastQuery: A Parallel Indexing System for Scientific Data

    SciTech Connect

    Chou, Jerry; Wu, Kesheng; Prabhat,

    2011-07-29

    Modern scientific datasets present numerous data management and analysis challenges. State-of-the- art index and query technologies such as FastBit can significantly improve accesses to these datasets by augmenting the user data with indexes and other secondary information. However, a challenge is that the indexes assume the relational data model but the scientific data generally follows the array data model. To match the two data models, we design a generic mapping mechanism and implement an efficient input and output interface for reading and writing the data and their corresponding indexes. To take advantage of the emerging many-core architectures, we also develop a parallel strategy for indexing using threading technology. This approach complements our on-going MPI-based parallelization efforts. We demonstrate the flexibility of our software by applying it to two of the most commonly used scientific data formats, HDF5 and NetCDF. We present two case studies using data from a particle accelerator model and a global climate model. We also conducted a detailed performance study using these scientific datasets. The results show that FastQuery speeds up the query time by a factor of 2.5x to 50x, and it reduces the indexing time by a factor of 16 on 24 cores.

  11. Solar system exploration

    NASA Technical Reports Server (NTRS)

    Chapman, Clark R.; Ramlose, Terri (Editor)

    1989-01-01

    The goal of planetary exploration is to understand the nature and development of the planets, as illustrated by pictures from the first two decades of spacecraft missions and by the imaginations of space artists. Planets, comets, asteroids, and moons are studied to discover the reasons for their similarities and differences and to find clues that contain information about the primordial process of planet origins. The scientific goals established by the National Academy of Sciences as the foundation of NASA's Solar System Exploration Program are covered: to determine the nature of the planetary system, to understand its origin and evolution, the development of life on Earth, and the principles that shape present day Earth.

  12. Applications in the Academic and Scientific Community.

    ERIC Educational Resources Information Center

    Perspectives in Computing, 1983

    1983-01-01

    The six articles in this journal reflect the role of computers in the academic and scientific communities, discussing the relationship between universities and industry, communication networks, light-scattering, data processing during seismic exploration, and computer applications in publishing and archaeological site management. It is available…

  13. Promoting Scientific and Technological Literacy: Teaching Biodiesel.

    ERIC Educational Resources Information Center

    Eilks, Ingo

    2000-01-01

    Describes a unit on biodiesel from a socio-critical chemistry teaching approach aimed at improving student participation and decision making. Explores the use of biodiesel (chemically changed vegetable oils), especially in Europe. The unit proved to be successful as students participated enthusiastically and social and scientific goals were…

  14. Image Attributes: A Study of Scientific Diagrams.

    ERIC Educational Resources Information Center

    Brunskill, Jeff; Jorgensen, Corinne

    2002-01-01

    Discusses advancements in imaging technology and increased user access to digital images, as well as efforts to develop adequate indexing and retrieval methods for image databases. Describes preliminary results of a study of undergraduates that explored the attributes naive subjects use to describe scientific diagrams. (Author/LRW)

  15. Lighting the Way through Scientific Discourse

    ERIC Educational Resources Information Center

    Yang, Li-hsuan

    2008-01-01

    This article describes a thought-provoking lesson that compares various arrangements of lamp-battery circuits to help students develop the motivation and competence to participate in scientific discourse for knowledge construction. Through experimentation and discourse, students explore concepts about voltage, current, resistance, and Ohm's law.…

  16. Classroom Critters and the Scientific Method.

    ERIC Educational Resources Information Center

    Kneidel, Sally

    This resource book presents 37 behavioral experiments that can be performed with commonly-found classroom animals including hamsters, gerbils, mice, goldfish, guppies, anolis lizards, kittens, and puppies. Each experiment explores the five steps of the scientific method: (1) Question; (2) Hypothesis; (3) Methods; (4) Result; and (5) Conclusion.…

  17. Politics and the Erosion of Federal Scientific Capacity: Restoring Scientific Integrity to Public Health Science

    PubMed Central

    Rest, Kathleen M.; Halpern, Michael H.

    2007-01-01

    Our nation’s health and prosperity are based on a foundation of independent scientific discovery. Yet in recent years, political interference in federal government science has become widespread, threatening this legacy. We explore the ways science has been misused, the attempts to measure the pervasiveness of this problem, and the effects on our long-term capacity to meet today’s most complex public health challenges. Good government and a functioning democracy require public policy decisions to be informed by independent science. The scientific and public health communities must speak out to defend taxpayer-funded science from political interference. Encouragingly, both the scientific community and Congress are exploring ways to restore scientific integrity to federal policymaking. PMID:17901422

  18. Politics and the erosion of federal scientific capacity: restoring scientific integrity to public health science.

    PubMed

    Rest, Kathleen M; Halpern, Michael H

    2007-11-01

    Our nation's health and prosperity are based on a foundation of independent scientific discovery. Yet in recent years, political interference in federal government science has become widespread, threatening this legacy. We explore the ways science has been misused, the attempts to measure the pervasiveness of this problem, and the effects on our long-term capacity to meet today's most complex public health challenges. Good government and a functioning democracy require public policy decisions to be informed by independent science. The scientific and public health communities must speak out to defend taxpayer-funded science from political interference. Encouragingly, both the scientific community and Congress are exploring ways to restore scientific integrity to federal policymaking.

  19. Multi-facetted Metadata - Describing datasets with different metadata schemas at the same time

    NASA Astrophysics Data System (ADS)

    Ulbricht, Damian; Klump, Jens; Bertelmann, Roland

    2013-04-01

    Inspired by the wish to re-use research data a lot of work is done to bring data systems of the earth sciences together. Discovery metadata is disseminated to data portals to allow building of customized indexes of catalogued dataset items. Data that were once acquired in the context of a scientific project are open for reappraisal and can now be used by scientists that were not part of the original research team. To make data re-use easier, measurement methods and measurement parameters must be documented in an application metadata schema and described in a written publication. Linking datasets to publications - as DataCite [1] does - requires again a specific metadata schema and every new use context of the measured data may require yet another metadata schema sharing only a subset of information with the meta information already present. To cope with the problem of metadata schema diversity in our common data repository at GFZ Potsdam we established a solution to store file-based research data and describe these with an arbitrary number of metadata schemas. Core component of the data repository is an eSciDoc infrastructure that provides versioned container objects, called eSciDoc [2] "items". The eSciDoc content model allows assigning files to "items" and adding any number of metadata records to these "items". The eSciDoc items can be submitted, revised, and finally published, which makes the data and metadata available through the internet worldwide. GFZ Potsdam uses eSciDoc to support its scientific publishing workflow, including mechanisms for data review in peer review processes by providing temporary web links for external reviewers that do not have credentials to access the data. Based on the eSciDoc API, panMetaDocs [3] provides a web portal for data management in research projects. PanMetaDocs, which is based on panMetaWorks [4], is a PHP based web application that allows to describe data with any XML-based schema. It uses the eSciDoc infrastructures

  20. Digital Rocks Portal: a sustainable platform for imaged dataset sharing, translation and automated analysis

    NASA Astrophysics Data System (ADS)

    Prodanovic, M.; Esteva, M.; Hanlon, M.; Nanda, G.; Agarwal, P.

    2015-12-01

    Recent advances in imaging have provided a wealth of 3D datasets that reveal pore space microstructure (nm to cm length scale) and allow investigation of nonlinear flow and mechanical phenomena from first principles using numerical approaches. This framework has popularly been called "digital rock physics". Researchers, however, have trouble storing and sharing the datasets both due to their size and the lack of standardized image types and associated metadata for volumetric datasets. This impedes scientific cross-validation of the numerical approaches that characterize large scale porous media properties, as well as development of multiscale approaches required for correct upscaling. A single research group typically specializes in an imaging modality and/or related modeling on a single length scale, and lack of data-sharing infrastructure makes it difficult to integrate different length scales. We developed a sustainable, open and easy-to-use repository called the Digital Rocks Portal, that (1) organizes images and related experimental measurements of different porous materials, (2) improves access to them for a wider community of geosciences or engineering researchers not necessarily trained in computer science or data analysis. Once widely accepter, the repository will jumpstart productivity and enable scientific inquiry and engineering decisions founded on a data-driven basis. This is the first repository of its kind. We show initial results on incorporating essential software tools and pipelines that make it easier for researchers to store and reuse data, and for educators to quickly visualize and illustrate concepts to a wide audience. For data sustainability and continuous access, the portal is implemented within the reliable, 24/7 maintained High Performance Computing Infrastructure supported by the Texas Advanced Computing Center (TACC) at the University of Texas at Austin. Long-term storage is provided through the University of Texas System Research

  1. Scalable and portable visualization of large atomistic datasets

    NASA Astrophysics Data System (ADS)

    Sharma, Ashish; Kalia, Rajiv K.; Nakano, Aiichiro; Vashishta, Priya

    2004-10-01

    A scalable and portable code named Atomsviewer has been developed to interactively visualize a large atomistic dataset consisting of up to a billion atoms. The code uses a hierarchical view frustum-culling algorithm based on the octree data structure to efficiently remove atoms outside of the user's field-of-view. Probabilistic and depth-based occlusion-culling algorithms then select atoms, which have a high probability of being visible. Finally a multiresolution algorithm is used to render the selected subset of visible atoms at varying levels of detail. Atomsviewer is written in C++ and OpenGL, and it has been tested on a number of architectures including Windows, Macintosh, and SGI. Atomsviewer has been used to visualize tens of millions of atoms on a standard desktop computer and, in its parallel version, up to a billion atoms. Program summaryTitle of program: Atomsviewer Catalogue identifier: ADUM Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADUM Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland Computer for which the program is designed and others on which it has been tested: 2.4 GHz Pentium 4/Xeon processor, professional graphics card; Apple G4 (867 MHz)/G5, professional graphics card Operating systems under which the program has been tested: Windows 2000/XP, Mac OS 10.2/10.3, SGI IRIX 6.5 Programming languages used: C++, C and OpenGL Memory required to execute with typical data: 1 gigabyte of RAM High speed storage required: 60 gigabytes No. of lines in the distributed program including test data, etc.: 550 241 No. of bytes in the distributed program including test data, etc.: 6 258 245 Number of bits in a word: Arbitrary Number of processors used: 1 Has the code been vectorized or parallelized: No Distribution format: tar gzip file Nature of physical problem: Scientific visualization of atomic systems Method of solution: Rendering of atoms using computer graphic techniques, culling algorithms for data

  2. Map_plot and bgg_plot: software for integration of geoscience datasets

    NASA Astrophysics Data System (ADS)

    Gaillot, Philippe; Punongbayan, Jane T.; Rea, Brice

    2004-02-01

    Since 1985, the Ocean Drilling Program (ODP) has been supporting multidisciplinary research in exploring the structure and history of Earth beneath the oceans. After more than 200 Legs, complementary datasets covering different geological environments, periods and space scales have been obtained and distributed world-wide using the ODP-Janus and Lamont Doherty Earth Observatory-Borehole Research Group (LDEO-BRG) database servers. In Earth Sciences, more than in any other science, the ensemble of these data is characterized by heterogeneous formats and graphical representation modes. In order to fully and quickly assess this information, a set of Unix/Linux and Generic Mapping Tool-based C programs has been designed to convert and integrate datasets acquired during the present ODP and the future Integrated ODP (IODP) Legs. Using ODP Leg 199 datasets, we show examples of the capabilities of the proposed programs. The program map_plot is used to easily display datasets onto 2-D maps. The program bgg_plot (borehole geology and geophysics plot) displays data with respect to depth and/or time. The latter program includes depth shifting, filtering and plotting of core summary information, continuous and discrete-sample core measurements (e.g. physical properties, geochemistry, etc.), in situ continuous logs, magneto- and bio-stratigraphies, specific sedimentological analyses (lithology, grain size, texture, porosity, etc.), as well as core and borehole wall images. Outputs from both programs are initially produced in PostScript format that can be easily converted to Portable Document Format (PDF) or standard image formats (GIF, JPEG, etc.) using widely distributed conversion programs. Based on command line operations and customization of parameter files, these programs can be included in other shell- or database-scripts, automating plotting procedures of data requests. As an open source software, these programs can be customized and interfaced to fulfill any specific

  3. Analysis and compression of six-dimensional gyrokinetic datasets using higher order singular value decomposition

    SciTech Connect

    Hatch, David R.; Del-Castillo-Negrete, Diego B; Terry, P.W.

    2012-01-01

    Higher order singular value decomposition (HOSVD) is explored as a tool for analyzing and compressing gyrokinetic data. An efficient numerical implementation of an HOSVD algorithm is described. HOSVD is used to analyze the full six-dimensional (three spatial, two velocity space, and time dimensions) gyrocenter distribution function from gyrokinetic simulations of ion temperature gradient, electron temperature gradient, and trapped electron mode driven turbulence. The HOSVD eigenvalues for the velocity space coordinates decay very rapidly, indicating that only a few structures in velocity space can capture the most important dynamics. In almost all of the cases studied, HOSVD extracts parallel velocity space structures which are very similar to orthogonal polynomials. HOSVD is also used to compress gyrokinetic datasets, an application in which it is shown to significantly outperform the more commonly used singular value decomposition. It is shown that the effectiveness of the HOSVD compression improves as the dimensionality of the dataset increases. (C) 2012 Elsevier Inc. All rights reserved.

  4. Precipitation Datasets for the GPM Iowa Flood Studies (IFloodS) Field Experiment

    NASA Astrophysics Data System (ADS)

    Krajewski, Witold; Seo, Bong Chul; Goska, Radoslaw; Demir, Ibrahim; Elsaadani, Mohamed

    2013-04-01

    In the spring of 2013 NASA will launch a field experiment called Iowa Flood Studies (IFloodS) as a part of the Ground Validation (GV) program for the Global Precipitation Measurement (GPM) mission. The purpose of IFloodS is to enhance the understanding of flood-related precipitation processes in events worldwide. While a number of scientific instruments such as ground-based radars, rain gauges, and disdrometers will be deployed to monitor upcoming rainfall events in Iowa, various precipitation datasets from weather radars, satellites, and rain gauges have been collected over past several years (up to eleven years) and processed to support validation and flood-related rainfall-runoff modeling studies. These historical datasets include TMPA (TRMM Multi-satellite Precipitation Analysis), PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network), and CMORPH (Climate Prediction Center morphing method) products for satellite estimates; Stage IV, Hydro-NEXRAD, NMQ (National Mosaic and Multi-Sensor QPE), and IFC (Iowa Flood Center) products for radar estimates; ASOS (Automated Surface Observing System), NWS COOP (Cooperative Observer Program), and IFC research network for rain gauge data. These datasets have all different temporal and spatial resolutions as well as uncertainty characteristics, and this provides benefits for product validation using multi-scale data as well as hydrologic modeling where different models require different scale of rainfall inputs. The datasets are organized in a database and available via a web browser-based interface, allowing the users to specify time and space domain of interest. The database connects users' requests with data storage and information and also assists them in finding significant rainfall events with ease and speed by showing basic rainfall statistics for the domain defined by users.

  5. Background qualitative analysis of the European reference life cycle database (ELCD) energy datasets - part II: electricity datasets.

    PubMed

    Garraín, Daniel; Fazio, Simone; de la Rúa, Cristina; Recchioni, Marco; Lechón, Yolanda; Mathieux, Fabrice

    2015-01-01

    The aim of this paper is to identify areas of potential improvement of the European Reference Life Cycle Database (ELCD) electricity datasets. The revision is based on the data quality indicators described by the International Life Cycle Data system (ILCD) Handbook, applied on sectorial basis. These indicators evaluate the technological, geographical and time-related representativeness of the dataset and the appropriateness in terms of completeness, precision and methodology. Results show that ELCD electricity datasets have a very good quality in general terms, nevertheless some findings and recommendations in order to improve the quality of Life-Cycle Inventories have been derived. Moreover, these results ensure the quality of the electricity-related datasets to any LCA practitioner, and provide insights related to the limitations and assumptions underlying in the datasets modelling. Giving this information, the LCA practitioner will be able to decide whether the use of the ELCD electricity datasets is appropriate based on the goal and scope of the analysis to be conducted. The methodological approach would be also useful for dataset developers and reviewers, in order to improve the overall Data Quality Requirements of databases.

  6. Hadley cell dynamics in Japanese Reanalysis-55 dataset: evaluation using other reanalysis datasets and global radiosonde network observations

    NASA Astrophysics Data System (ADS)

    Mathew, Sneha Susan; Kumar, Karanam Kishore; Subrahmanyam, Kandula Venkata

    2016-12-01

    Hadley circulation (HC) is a planetary scale circulation spanning one-third of the globe from tropics to the sub-tropics. Recent changes in HC width and its temporal variability is a topic of paramount interest because of the climate implications it carry alongside. The present study attempts to bring out the subtropical climate change indications in the comparatively new Japanese Re-analysis (JRA55) dataset by means of the mean meridional stream function (MSF). The observed features of HC in JRA55 are found to be reproduced in NCEP, MERRA and ECMWF datasets, with notable differences in the magnitudes of MSF. The calculated annual cycle of HC edges, center and total width from this dataset closely resembles the annual cycle of the respective parameters derived from the rest of the datasets, with very less inter-annual variability. For the first time, MSF estimated using four reanalysis datasets (JRA55, NCEP, MERRA and ECMWF datasets) are verified with observations from integrated global radiosonde archive datasets, using the process of subsampling. The features so estimated show a high degree of similarity amongst each other as well as with observations. The monthly trend in the total width of the HC is quantified to show a maximum of expansion during the month of July, which is significant at the 95 % confidence interval for all datasets. The present paper also discusses the presence of a `minor circulation' feature in the northern hemisphere which is centered on 34°N during the June and July months, but not in all years. The significance of the present study lies in evaluating the relatively new JRA55 datasets with widely used reanalysis data sets and radiosonde observations and revelation of a minor circulation not discussed hitherto in the context of HC dynamics.

  7. Anatomy of scientific evolution.

    PubMed

    Yun, Jinhyuk; Kim, Pan-Jun; Jeong, Hawoong

    2015-01-01

    The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific evolution through systematic analysis of a massive corpus of digitized English texts between 1800 and 2008. Our analysis reveals great predictability for long-prevailing scientific concepts based on the levels of their prior usage. Interestingly, once a threshold of early adoption rates is passed even slightly, scientific concepts can exhibit sudden leaps in their eventual lifetimes. We developed a mechanistic model to account for such results, indicating that slowly-but-commonly adopted science and technology surprisingly tend to have higher innate strength than fast-and-commonly adopted ones. The model prediction for disciplines other than science was also well verified. Our approach sheds light on unbiased and quantitative analysis of scientific evolution in society, and may provide a useful basis for policy-making.

  8. Ethics of scientific publication

    PubMed Central

    Mandal, Jharna; Ponnambath, Dinoop Korol; Parija, Subhash Chandra

    2016-01-01

    Published scientific research breeds the development of clinical management guidelines and pathways. Currently, scholarly proficiency is assessed using numerous primitive metrics for incentives that can kindle publication of hoax or flawed research content. Such flawed data can lead to wastage of resources, time, and most importantly harm to the society. Authors, editors, and peer reviewers need to be genuine in conducting, analyzing, and publication of scientific research. Institutions need to be aware and utilize advanced metrics to assess the scientific reputation of researchers. This short review discusses in brief the common authorship and editorial ethical issues encountered in scientific publication and the newer metrics available for the assessment of scholarly excellence. Editors and peer reviewers need to be acquainted with the common ethical issues and follow consensus international guidelines on publication ethics to tackle them appropriately. PMID:27722097

  9. Anatomy of Scientific Evolution

    PubMed Central

    Yun, Jinhyuk; Kim, Pan-Jun; Jeong, Hawoong

    2015-01-01

    The quest for historically impactful science and technology provides invaluable insight into the innovation dynamics of human society, yet many studies are limited to qualitative and small-scale approaches. Here, we investigate scientific evolution through systematic analysis of a massive corpus of digitized English texts between 1800 and 2008. Our analysis reveals great predictability for long-prevailing scientific concepts based on the levels of their prior usage. Interestingly, once a threshold of early adoption rates is passed even slightly, scientific concepts can exhibit sudden leaps in their eventual lifetimes. We developed a mechanistic model to account for such results, indicating that slowly-but-commonly adopted science and technology surprisingly tend to have higher innate strength than fast-and-commonly adopted ones. The model prediction for disciplines other than science was also well verified. Our approach sheds light on unbiased and quantitative analysis of scientific evolution in society, and may provide a useful basis for policy-making. PMID:25671617

  10. STARPROBE: Scientific rationale

    NASA Technical Reports Server (NTRS)

    Underwood, J. H. (Editor); Randolph, J. E. (Editor)

    1982-01-01

    The scientific rationale and instrumentation problems in the areas of solar internal dynamics and relativity, solar plasma and particle dynamics, and solar atmosphere structure were studied. Current STARPROBE mission and system design concepts are summarized.

  11. Report: Scientific Software.

    ERIC Educational Resources Information Center

    Borman, Stuart A.

    1985-01-01

    Discusses various aspects of scientific software, including evaluation and selection of commercial software products; program exchanges, catalogs, and other information sources; major data analysis packages; statistics and chemometrics software; and artificial intelligence. (JN)

  12. Scientific data requirements

    NASA Technical Reports Server (NTRS)

    1985-01-01

    Each Scientific Data Requirement (SDR) is summarized in terms of professional discipline, research program, technical description, related parameters, geographical extent, resolution, error tolerance,space-based sensors systems, personnel, implementation expert, notes, and references.

  13. Exploring Gigabyte Datasets in Real Time: Architectures, Interfaces and Time-Critical Design

    NASA Technical Reports Server (NTRS)

    Bryson, Steve; Gerald-Yamasaki, Michael (Technical Monitor)

    1998-01-01

    Architectures and Interfaces: The implications of real-time interaction on software architecture design: decoupling of interaction/graphics and computation into asynchronous processes. The performance requirements of graphics and computation for interaction. Time management in such an architecture. Examples of how visualization algorithms must be modified for high performance. Brief survey of interaction techniques and design, including direct manipulation and manipulation via widgets. talk discusses how human factors considerations drove the design and implementation of the virtual wind tunnel. Time-Critical Design: A survey of time-critical techniques for both computation and rendering. Emphasis on the assignment of a time budget to both the overall visualization environment and to each individual visualization technique in the environment. The estimation of the benefit and cost of an individual technique. Examples of the modification of visualization algorithms to allow time-critical control.

  14. Exploring Scale Effect Using Geographically Weighted Regression on Mass Dataset of Urban Robbery

    NASA Astrophysics Data System (ADS)

    Yavuz, Ö.; Tecim, V.

    2013-05-01

    Urban geographers have been studying to explain factors influencing crime on cases limited by their study areas. Researchers have a common opinion that explanatory variables modelling crime on those cases might be irrelevant for another one. None of the researchers tested significance of these variables with changing scales of the study area. Because their data did not allow them to study with different scales. This research examines the scale effect with various data from a wide range of data sources. Geographically Weighted Regression (GWR) method is used to explain that effect, after organizing data by Geographical Information System (GIS) technologies. Explanatory variables deduced for district scale are different from those for grid scale. Hence, the explanatory variables may change not only for different geographical areas but also for different scales of the same area.

  15. Exploring the new long-term (150 years) precipitation dataset in Azores archipelago

    NASA Astrophysics Data System (ADS)

    Hernández, Armand; Trigo, Ricardo M.; Kutiel, Haim; Valente, Maria A.; Sigró, Javier

    2015-04-01

    Within the scope of the two major international projects of long-term reanalysis for the 20th century coordinated by NOAA (Compo et al. 2011) and ECMWF (Hersbach et al. 2013) the IDL Institute from the University of Lisbon has digitized a large number of long-term stations records from Portugal and former Portuguese Colonies (Stickler et al. 2014). Recently we have finished the digitization of all precipitation values from Ponta Delgada (capital of the Azores archipelago) obtaining an uninterrupted precipitation monthly time series since 1864 and additionally an almost complete corresponding daily precipitation series, with the exception of some years (1864/1872; 1878/1879; 1888/1905; 1931; 1936 and 1938) for which only monthly values are available. Here, we present an annually, seasonally and daily resolution study of the rainfall regime in Ponta Delgada for the last 150 years and the North Atlantic Oscillation (NAO) influence over this precipitation regime. The distribution of precipitation presents an evident seasonal pattern, with a strong difference between the 'rainy season' (November/March) and the 'dry season' (June/August) with very little rainfall. April/May and September/October correspond to the transitional seasons. The mean annual rainfall in Ponta Delgada is approximately 910 mm and is accumulated (on average) in about 120 rainy days. The precipitation regime in Azores archipelago reveals large inter-annual and intra-annual variability and both have increased considerably in the last decades. The entire studied period (1865-2012) shows an increase in the rainfall conditions between a drier earlier period (1865-1938) and a wetter recent period (1939-2012). At daily resolution, we have used an approach based on different characteristics of rain spells (consecutive days with rainfall accumulation) that has been proved to be satisfactory for the analysis of the different parameters related to the rainfall regime (Kutiel and Trigo, 2014). This approach shows that the increase in precipitation is mainly due to more intense events which are reflected by higher rain spell yields (amount of precipitation) and rain spell intensity (amount of precipitation by day) values in the last decades. On the other hand, despite the fact that one of the most widely used NAO definitions includes sea level pressure from the Ponta Delgada station, its long-term impact on the Azores archipelago climate is not well established yet. Here, we assessed the NAO influence over the precipitation regime according to Spearman's rank correlation coefficients. Results show that the inter-annual variability of precipitation is largely modulated by the NAO mode. Correlation values of r=-0.90, r=-0.79 and r=-0.63 were obtained for years with positive (>1) or negative (

  16. International Ultraviolet Explorer Observatory operations

    NASA Technical Reports Server (NTRS)

    1985-01-01

    This volume contains the final report for the International Ultraviolet Explorer IUE Observatory Operations contract. The fundamental operational objective of the International Ultraviolet Explorer (IUE) program is to translate competitively selected observing programs into IUE observations, to reduce these observations into meaningful scientific data, and then to present these data to the Guest Observer in a form amenable to the pursuit of scientific research. The IUE Observatory is the key to this objective since it is the central control and support facility for all science operations functions within the IUE Project. In carrying out the operation of this facility, a number of complex functions were provided beginning with telescope scheduling and operation, proceeding to data processing, and ending with data distribution and scientific data analysis. In support of these critical-path functions, a number of other significant activities were also provided, including scientific instrument calibration, systems analysis, and software support. Routine activities have been summarized briefly whenever possible.

  17. BMDExpress Data Viewer: A Visualization Tool to Analyze BMDExpress Datasets

    EPA Science Inventory

    Regulatory agencies increasingly apply benchmark dose (BMD) modeling to determine points of departure in human risk assessments. BMDExpress applies BMD modeling to transcriptomics datasets and groups genes to biological processes and pathways for rapid assessment of doses at whic...

  18. A polymer dataset for accelerated property prediction and design

    PubMed Central

    Huan, Tran Doan; Mannodi-Kanakkithodi, Arun; Kim, Chiho; Sharma, Vinit; Pilania, Ghanshyam; Ramprasad, Rampi

    2016-01-01

    Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. Generally, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to predict the properties of materials not already in the dataset, thus accelerating the materials design. Herein, we develop a dataset of 1,073 polymers and related materials and make it available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate target of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. It will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided. PMID:26927478

  19. Constructing Phylogenetic Networks Based on the Isomorphism of Datasets

    PubMed Central

    Zhang, Zhibin; Li, Yanjuan

    2016-01-01

    Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution. So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK, and the BIMLR. This paper will research the commonness of the methods based on the incompatible graph, the relationship between incompatible graph and the phylogenetic network, and the topologies of incompatible graphs. We can find out all the simplest datasets for a topology G and construct a network for every dataset. For any one dataset 𝒞, we can compute a network from the network representing the simplest dataset which is isomorphic to 𝒞. This process will save more time for the algorithms when constructing networks. PMID:27547759

  20. A polymer dataset for accelerated property prediction and design

    SciTech Connect

    Huan, Tran Doan; Mannodi-Kanakkithodi, Arun; Kim, Chiho; Sharma, Vinit; Pilania, Ghanshyam; Ramprasad, Rampi

    2016-03-01

    Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. Generally, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to predict the properties of materials not already in the dataset, thus accelerating the materials design. Herein, we develop a dataset of 1,073 polymers and related materials and make it available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate target of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. As a result, it will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided.

  1. A polymer dataset for accelerated property prediction and design.

    PubMed

    Huan, Tran Doan; Mannodi-Kanakkithodi, Arun; Kim, Chiho; Sharma, Vinit; Pilania, Ghanshyam; Ramprasad, Rampi

    2016-03-01

    Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. Generally, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to predict the properties of materials not already in the dataset, thus accelerating the materials design. Herein, we develop a dataset of 1,073 polymers and related materials and make it available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate target of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. It will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided.

  2. Food recognition: a new dataset, experiments and results.

    PubMed

    Ciocca, Gianluigi; Napoletano, Paolo; Schettini, Raimondo

    2016-12-07

    We propose a new dataset for the evaluation of food recognition algorithms that can be used in dietary monitoring applications. Each image depicts a real canteen tray with dishes and foods arranged in different ways. Each tray contains multiple instances of food classes. The dataset contains 1,027 canteen trays for a total of 3,616 food instances belonging to 73 food classes. The food on the tray images have been manually segmented using carefully drawn polygonal boundaries. We have benchmarked the dataset by designing an automatic tray analysis pipeline that takes a tray image as input, finds the regions of interest, and predicts for each region the corresponding food class. We have experimented three different classification strategies using also several visual descriptors. We achieve about 79% of food and tray recognition accuracy using Convolutional-Neural-Networksbased features. The dataset, as well as the benchmark framework, are available to the research community.

  3. A daily global mesoscale ocean eddy dataset from satellite altimetry.

    PubMed

    Faghmous, James H; Frenger, Ivy; Yao, Yuanshun; Warmka, Robert; Lindell, Aron; Kumar, Vipin

    2015-01-01

    Mesoscale ocean eddies are ubiquitous coherent rotating structures of water with radial scales on the order of 100 kilometers. Eddies play a key role in the transport and mixing of momentum and tracers across the World Ocean. We present a global daily mesoscale ocean eddy dataset that contains ~45 million mesoscale features and 3.3 million eddy trajectories that persist at least two days as identified in the AVISO dataset over a period of 1993-2014. This dataset, along with the open-source eddy identification software, extract eddies with any parameters (minimum size, lifetime, etc.), to study global eddy properties and dynamics, and to empirically estimate the impact eddies have on mass or heat transport. Furthermore, our open-source software may be used to identify mesoscale features in model simulations and compare them to observed features. Finally, this dataset can be used to study the interaction between mesoscale ocean eddies and other components of the Earth System.

  4. A New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic Study

    PubMed Central

    Puthiyedth, Nisha; Riveros, Carlos; Berretta, Regina; Moscato, Pablo

    2015-01-01

    Background The joint study of multiple datasets has become a common technique for increasing statistical power in detecting biomarkers obtained from smaller studies. The approach generally followed is based on the fact that as the total number of samples increases, we expect to have greater power to detect associations of interest. This methodology has been applied to genome-wide association and transcriptomic studies due to the availability of datasets in the public domain. While this approach is well established in biostatistics, the introduction of new combinatorial optimization models to address this issue has not been explored in depth. In this study, we introduce a new model for the integration of multiple datasets and we show its application in transcriptomics. Methods We propose a new combinatorial optimization problem that addresses the core issue of biomarker detection in integrated datasets. Optimal solutions for this model deliver a feature selection from a panel of prospective biomarkers. The model we propose is a generalised version of the (α,β)-k-Feature Set problem. We illustrate the performance of this new methodology via a challenging meta-analysis task involving six prostate cancer microarray datasets. The results are then compared to the popular RankProd meta-analysis tool and to what can be obtained by analysing the individual datasets by statistical and combinatorial methods alone. Results Application of the integrated method resulted in a more informative signature than the rank-based meta-analysis or individual dataset results, and overcomes problems arising from real world datasets. The set of genes identified is highly significant in the context of prostate cancer. The method used does not rely on homogenisation or transformation of values to a common scale, and at the same time is able to capture markers associated with subgroups of the disease. PMID:26106884

  5. Transdisciplinarity: a scientific essential.

    PubMed

    Hamberger, Erich

    2004-12-01

    Transdisciplinarity in science is necessary to counteract the rapid growth of scientific results and information, the elimination of logical inconsistencies, and the effect of specialization whereby uncomparable disciplines develop. A correspondence is drawn between the uncontrolled growth, immune system malfunction, repression/expansion, and isolation that are characteristic of cancer and of the scientific concept of modernity. Suggestions are presented regarding the promotion of healing in both of these realms.

  6. Exploration Geophysics

    ERIC Educational Resources Information Center

    Savit, Carl H.

    1978-01-01

    Expansion of activity and confirmation of new technological directions characterized several fields of exploration geophysics in 1977. Advances in seismic-reflection exploration have been especially important. (Author/MA)

  7. Exploration Review

    USGS Publications Warehouse

    Wilburn, D.R.; Stanley, K.A.

    2013-01-01

    This summary of international mineral exploration activities for 2012 draws upon information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities performed by the mineral industry. Three sources of information are reported and analyzed in this annual review of international exploration for 2012: 1) budgetary statistics expressed in U.S. nominal dollars provided by SNL Metals Economics Group (MEG) of Halifax, Nova Scotia; 2) regional and site-specific exploration activities that took place in 2012 as compiled by the USGS and 3) regional events including economic, social and political conditions that affected exploration activities, which were derived from published sources and unpublished discussions with USGS and industry specialists.

  8. Participatory Exploration

    NASA Video Gallery

    Kathy Nado delivers a presentation on Participatory Exploration on May 25, 2010, at the NASA Exploration Enterprise Workshop held in Galveston, TX. The purpose of this workshop was to present NASA'...

  9. Human-Robot Emergency Response - Experimental Platform and Preliminary Dataset

    DTIC Science & Technology

    2014-07-28

    Human -Robot Emergency Response - Experimental Platform and Preliminary Dataset Technical Report #UM-CS-2014-006 Hee-Tae Jung, Takeshi Takahashi,and...2014 Abstract This paper presents progress towards a research infrastructure for studying human -robot performance in laboratory emergency response...scenarios and a preliminary dataset. It incorporates an emergency response team that is composed of a human participant, n ≤ 4 vision sensors in a

  10. Binary classification of imbalanced datasets using conformal prediction.

    PubMed

    Norinder, Ulf; Boyer, Scott

    2017-03-01

    Aggregated Conformal Prediction is used as an effective alternative to other, more complicated and/or ambiguous methods involving various balancing measures when modelling severely imbalanced datasets. Additional explicit balancing measures other than those already apart of the Conformal Prediction framework are shown not to be required. The Aggregated Conformal Prediction procedure appears to be a promising approach for severely imbalanced datasets in order to retrieve a large majority of active minority class compounds while avoiding information loss or distortion.

  11. Artificial intelligence (AI) systems for interpreting complex medical datasets.

    PubMed

    Altman, R B

    2017-02-09

    Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. However, artificial intelligence (AI) applications in medical data have several technical challenges: complex and heterogeneous datasets, noisy medical datasets, and explaining their output to users. There are also social challenges related to intellectual property, data provenance, regulatory issues, economics, and liability.

  12. ISRUC-Sleep: A comprehensive public dataset for sleep researchers.

    PubMed

    Khalighi, Sirvan; Sousa, Teresa; Santos, José Moutinho; Nunes, Urbano

    2016-02-01

    To facilitate the performance comparison of new methods for sleep patterns analysis, datasets with quality content, publicly-available, are very important and useful. We introduce an open-access comprehensive sleep dataset, called ISRUC-Sleep. The data were obtained from human adults, including healthy subjects, subjects with sleep disorders, and subjects under the effect of sleep medication. Each recording was randomly selected between PSG recordings that were acquired by the Sleep Medicine Centre of the Hospital of Coimbra University (CHUC). The dataset comprises three groups of data: (1) data concerning 100 subjects, with one recording session per subject; (2) data gathered from 8 subjects; two recording sessions were performed per subject, and (3) data collected from one recording session related to 10 healthy subjects. The polysomnography (PSG) recordings, associated with each subject, were visually scored by two human experts. Comparing the existing sleep-related public datasets, ISRUC-Sleep provides data of a reasonable number of subjects with different characteristics such as: data useful for studies involving changes in the PSG signals over time; and data of healthy subjects useful for studies involving comparison of healthy subjects with the patients, suffering from sleep disorders. This dataset was created aiming to complement existing datasets by providing easy-to-apply data collection with some characteristics not covered yet. ISRUC-Sleep can be useful for analysis of new contributions: (i) in biomedical signal processing; (ii) in development of ASSC methods; and (iii) on sleep physiology studies. To evaluate and compare new contributions, which use this dataset as a benchmark, results of applying a subject-independent automatic sleep stage classification (ASSC) method on ISRUC-Sleep dataset are presented.

  13. Sampling Within k-Means Algorithm to Cluster Large Datasets

    SciTech Connect

    Bejarano, Jeremy; Bose, Koushiki; Brannan, Tyler; Thomas, Anita; Adragni, Kofi; Neerchal, Nagaraj; Ostrouchov, George

    2011-08-01

    Due to current data collection technology, our ability to gather data has surpassed our ability to analyze it. In particular, k-means, one of the simplest and fastest clustering algorithms, is ill-equipped to handle extremely large datasets on even the most powerful machines. Our new algorithm uses a sample from a dataset to decrease runtime by reducing the amount of data analyzed. We perform a simulation study to compare our sampling based k-means to the standard k-means algorithm by analyzing both the speed and accuracy of the two methods. Results show that our algorithm is significantly more efficient than the existing algorithm with comparable accuracy. Further work on this project might include a more comprehensive study both on more varied test datasets as well as on real weather datasets. This is especially important considering that this preliminary study was performed on rather tame datasets. Also, these datasets should analyze the performance of the algorithm on varied values of k. Lastly, this paper showed that the algorithm was accurate for relatively low sample sizes. We would like to analyze this further to see how accurate the algorithm is for even lower sample sizes. We could find the lowest sample sizes, by manipulating width and confidence level, for which the algorithm would be acceptably accurate. In order for our algorithm to be a success, it needs to meet two benchmarks: match the accuracy of the standard k-means algorithm and significantly reduce runtime. Both goals are accomplished for all six datasets analyzed. However, on datasets of three and four dimension, as the data becomes more difficult to cluster, both algorithms fail to obtain the correct classifications on some trials. Nevertheless, our algorithm consistently matches the performance of the standard algorithm while becoming remarkably more efficient with time. Therefore, we conclude that analysts can use our algorithm, expecting accurate results in considerably less time.

  14. Open scientific communication urged

    NASA Astrophysics Data System (ADS)

    Richman, Barbara T.

    In a report released last week the National Academy of Sciences' Panel on Scientific Communication and National Security concluded that the ‘limited and uncertain benefits’ of controls on the dissemination of scientific and technological research are ‘outweighed by the importance of scientific progress, which open communication accelerates, to the overall welfare of the nation.’ The 18-member panel, chaired by Dale R. Corson, president emeritus of Cornell University, was created last spring (Eos, April 20, 1982, p. 241) to examine the delicate balance between open dissemination of scientific and technical information and the U.S. government's desire to protect scientific and technological achievements from being translated into military advantages for our political adversaries.The panel dealt almost exclusively with the relationship between the United States and the Soviet Union but noted that there are ‘clear problems in scientific communication and national security involving Third World countries.’ Further study of this matter is necessary.

  15. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.

    2008-01-01

    This summary of international mineral exploration activities for the year 2007 draws upon available information from industry, literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analysis of the mineral industry based upon these data.

  16. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.

    2006-01-01

    This summary of international mineral exploration activities for the year 2005 draws upon available information from literature, industry and U.S. Geological Survey (USGS) specialists. It provides data on exploration budgets by global region and mineral commodity and identifies significant mineral discoveries and exploration target areas. It also discusses government programs affecting the mineral exploration industry and presents analysis of the mineral industry based on these data.

  17. Exploration review

    USGS Publications Warehouse

    Wilburn, D.R.; Rapstine, T.D.; Lee, E.C.

    2012-01-01

    This summary of international mineral exploration activities for the year 2011 draws upon available information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. This summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents surveys returned by companies primarily focused on precious (gold, platinum-group metals and silver) and base (copper, lead, nickel and zinc) metals.

  18. Lunar Exploration Orbiter (LEO)

    NASA Astrophysics Data System (ADS)

    Jaumann, R.; Spohn, T.; Hiesinger, H.; Jessberger, E. K.; Neukum, G.; Oberst, J.; Helbert, J.; Christensen, U.; Keller, H. U.; Mall, U.; Böhnhardt, H.; Hartogh, P.; Glassmeier, K.-H.; Auster, H.-U.; Moreira, A.; Werner, M.; Pätzold, M.; Palme, H.; Wimmer-Schweingruber, R.; Mandea, M.; Lesur, V.; Häusler, B.; Hördt, A.; Eichentopf, K.; Hauber, E.; Hoffmann, H.; Köhler, U.; Kührt, E.; Michaelis, H.; Pauer, M.; Sohl, F.; Denk, T.; van Gasselt, S.

    2007-08-01

    The Moon is an integral part of the Earth-Moon system, it is a witness to more than 4.5 b. y. of solar system history, and it is the only planetary body except Earth for which we have samples from known locations. The Moon is our closest companion and can easily be reached from Earth at any time, even with a relatively modest financial budget. Consequently, the Moon was the first logical step in the exploration of our solar system before we pursued more distant targets such as Mars and beyond. The vast amount of knowledge gained from the Apollo and other lunar missions of the late 1960's and early 1970's demonstrates how valuable the Moon is for the understanding of our planetary system. Even today, the Moon remains an extremely interesting target scientifically and technologically, as ever since, new data have helped to address some of our questions about the Earth-Moon system, many questions remained. Therefore, returning to the Moon is the critical stepping-stone to further exploring our immediate planetary neighborhood. In this concept study, we present scientific and technological arguments for a national German lunar mission, the Lunar Explorations Orbiter (LEO). Numerous space-faring nations have realized and identified the unique opportunities related to lunar exploration and have planned missions to the Moon within the next few years. Among these missions, LEO will be unique, because it will globally explore the Moon in unprecedented spatial and spectral resolution. LEO will significantly improve our understanding of the lunar surface composition, surface ages, mineralogy, physical properties, interior, thermal history, gravity field, regolith structure, and magnetic field. The Lunar Explorations Orbiter will carry an entire suite of innovative, complementary technologies, including high-resolution camera systems, several spectrometers that cover previously unexplored parts of the electromagnetic spectrum over a broad range of wavelengths, microwave and

  19. Heuristics for Relevancy Ranking of Earth Dataset Search Results

    NASA Technical Reports Server (NTRS)

    Lynnes, Christopher; Quinn, Patrick; Norton, James

    2016-01-01

    As the Variety of Earth science datasets increases, science researchers find it more challenging to discover and select the datasets that best fit their needs. The most common way of search providers to address this problem is to rank the datasets returned for a query by their likely relevance to the user. Large web page search engines typically use text matching supplemented with reverse link counts, semantic annotations and user intent modeling. However, this produces uneven results when applied to dataset metadata records simply externalized as a web page. Fortunately, data and search provides have decades of experience in serving data user communities, allowing them to form heuristics that leverage the structure in the metadata together with knowledge about the user community. Some of these heuristics include specific ways of matching the user input to the essential measurements in the dataset and determining overlaps of time range and spatial areas. Heuristics based on the novelty of the datasets can prioritize later, better versions of data over similar predecessors. And knowledge of how different user types and communities use data can be brought to bear in cases where characteristics of the user (discipline, expertise) or their intent (applications, research) can be divined. The Earth Observing System Data and Information System has begun implementing some of these heuristics in the relevancy algorithm of its Common Metadata Repository search engine.

  20. A comprehensive polymer dataset for accelerated property prediction and design

    NASA Astrophysics Data System (ADS)

    Tran, Huan; Kumar Mannodi-Kanakkithodi, Arun; Kim, Chiho; Sharma, Vinit; Oilania, Ghanshyam; Ramprasad, Rampi

    Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. In principle, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to rapidly predict the properties of materials not already in the dataset, thus accelerating the design of materials with preferable properties. Here, we report the development of a dataset of 1,065 polymers and related materials, which is available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate target of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. The dataset will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided. We discuss some information ``learned`` from the dataset and suggest that it may be used as the playground for further data-mining work.

  1. A Tropical Marine Microbial Natural Products Geobibliography as an Example of Desktop Exploration of Current Research Using Web Visualisation Tools

    PubMed Central

    Mukherjee, Joydeep; Llewellyn, Lyndon E; Evans-Illidge, Elizabeth A

    2008-01-01

    Microbial marine biodiscovery is a recent scientific endeavour developing at a time when information and other technologies are also undergoing great technical strides. Global visualisation of datasets is now becoming available to the world through powerful and readily available software such as Worldwind™, ArcGIS Explorer™ and Google Earth™. Overlaying custom information upon these tools is within the hands of every scientist and more and more scientific organisations are making data available that can also be integrated into these global visualisation tools. The integrated global view that these tools enable provides a powerful desktop exploration tool. Here we demonstrate the value of this approach to marine microbial biodiscovery by developing a geobibliography that incorporates citations on tropical and near-tropical marine microbial natural products research with Google Earth™ and additional ancillary global data sets. The tools and software used are all readily available and the reader is able to use and install the material described in this article. PMID:19172194

  2. Novel Scientific Visualization Interfaces for Interactive Information Visualization and Sharing

    NASA Astrophysics Data System (ADS)

    Demir, I.; Krajewski, W. F.

    2012-12-01

    As geoscientists are confronted with increasingly massive datasets from environmental observations to simulations, one of the biggest challenges is having the right tools to gain scientific insight from the data and communicate the understanding to stakeholders. Recent developments in web technologies make it easy to manage, visualize and share large data sets with general public. Novel visualization techniques and dynamic user interfaces allow users to interact with data, and modify the parameters to create custom views of the data to gain insight from simulations and environmental observations. This requires developing new data models and intelligent knowledge discovery techniques to explore and extract information from complex computational simulations or large data repositories. Scientific visualization will be an increasingly important component to build comprehensive environmental information platforms. This presentation provides an overview of the trends and challenges in the field of scientific visualization, and demonstrates information visualization and communication tools in the Iowa Flood Information System (IFIS), developed within the light of these challenges. The IFIS is a web-based platform developed by the Iowa Flood Center (IFC) to provide access to and visualization of flood inundation maps, real-time flood conditions, flood forecasts both short-term and seasonal, and other flood-related data for communities in Iowa. The key element of the system's architecture is the notion of community. Locations of the communities, those near streams and rivers, define basin boundaries. The IFIS provides community-centric watershed and river characteristics, weather (rainfall) conditions, and streamflow data and visualization tools. Interactive interfaces allow access to inundation maps for different stage and return period values, and flooding scenarios with contributions from multiple rivers. Real-time and historical data of water levels, gauge heights, and

  3. Designing Tools for Ocean Exploration. Galapagos Rifts Expedition--Grades 9-12. Overview: Ocean Exploration.

    ERIC Educational Resources Information Center

    National Oceanic and Atmospheric Administration (DOC), Rockville, MD.

    This activity teaches about the complexity of ocean exploration, the technological applications and capabilities required for ocean exploration, the importance of teamwork in scientific research projects, and developing abilities necessary to do scientific inquiry. The activity provides learning objectives, a list of needed materials, key…

  4. Priorities for Venus Exploration

    NASA Astrophysics Data System (ADS)

    Glaze, L. S.; Beauchamp, P. M.; Chin, G.; Crisp, D.; Grimm, R. E.; Herrick, R. R.; Johnston, S.; Limaye, S. S.; Smrekar, S. E.; Ocampo, A.; Thompson, T. W.

    2013-12-01

    Venus remains one of the most enigmatic bodies in our Solar System. Important questions remain regarding the origin and evolution of the atmosphere, the history of the surface and interior, and how the surface and atmosphere interact. In a broader context, understanding Venus has implications for understanding the evolution of terrestrial planets in our Solar System as well as for interpreting the growing set of observations of extra-solar planets. The Venus Exploration Analysis Group (VEXAG), established in 2005, is chartered by NASA's Planetary Science Division and reports its findings to the NASA Advisory Council. Open to all interested scientists, VEXAG regularly evaluates Venus exploration goals, scientific objectives, investigations and critical measurement requirements, including especially recommendations in the NRC Decadal Survey and the Solar System Exploration Strategic Roadmap. At the last general meeting in November 2012, VEXAG resolved to update the scientific priorities and strategies for Venus exploration. To achieve this goal, three major tasks were defined for 2013, (1) update the document prioritizing Goals, Objectives and Investigations for Venus Exploration, (2) develop a Roadmap for Venus exploration that is consistent with VEXAG priorities as well as Planetary Decadal Survey priorities, and (3) develop a white paper on technologies for Venus missions. Proposed versions of all three documents were presented at the VEXAG general meeting in November 2013. Here, we present the findings and final versions of all three documents for community comment and feedback. A follow-on Workshop on Venus Exploration Targets is also being planned for the early summer of 2014. The workshop will provide a forum for the Venus science community to discuss approaches for addressing high priority investigations. Participants will be encouraged to present their ideas for specific targets on Venus (interior, surface and atmosphere) as well as to present specific data

  5. Planetary Exploration Panel PEX: Support for lunar exploration

    NASA Astrophysics Data System (ADS)

    Ehrenfreund, Pascale

    2010-05-01

    The new era of space exploration will be international, human-centric, transdisciplinary and participatory. It will also provide an opportunity to inspire, motivate, and involve an ever increasing number of countries. The objective of the COSPAR Panel on Space Exploration (PEX) is to provide the best, independent, input to support the development of worldwide space exploration programs and to safeguard the scientific assets of solar system objects. The input will be drawn from expertise provided via the contacts maintained by COSPAR's various Associates within the international community and scientific entities. For lunar exploration, the International Lunar Exploration Working Group (ILEWG) and the Lunar Exploration Analysis Group (LEAG), as well as other committees, represent important foci for an even broader base of expertise. Seven NASA Lunar Science Institute nodes are actively supporting space exploration in the US. In addition, the International Space Exploration Coordination group ISECG was established to implement the Global Exploration Strategy GES, contained in a document that was elaborated by representatives of 14 space agencies. PEX provides synergies of existing documents and roadmaps of each of these bodies to support existing space exploration groups, foster transnational alliances and support joint research and education.

  6. Communication and the Social Representation of Scientific Knowledge.

    ERIC Educational Resources Information Center

    Lievrouw, Leah A.

    1990-01-01

    Examines the process of disseminating scientific information to the public. Explores the particular steps and strategies that scientists use in taking research findings to a popular audience. Examines the popularization of cold-fusion research. (RS)

  7. Existing Instrumentation and Scientific Drivers for a Subduction Zone Observatory in Latin America

    NASA Astrophysics Data System (ADS)

    Frassetto, A.; Woodward, R.; Detrick, R. S.

    2015-12-01

    The subduction zones along the western shore of the Americas provide numerous societally relevant scientific questions that have yet to be fully explored and would make an excellent target for a comprehensive, integrated Subduction Zone Observatory (SZO). Further, recent discussions in Latin America indicate that there are a large number of existing stations that could serve as a backbone for an SZO. Such preexisting geophysical infrastructure commonly plays a vital role in new science initiatives, from small PI-led experiments to the establishment of the USArray Transportable Array, Reference Network, Cascadia Amphibious Array, and the redeployment of EarthScope Transportable Array stations to Alaska. Creating an SZO along the western coast of the Americas could strongly leverage the portfolio of existing seismic and geodetic stations across regions of interest. In this presentation, we will discuss the concept and experience of leveraging existing infrastructure in major new observational programs, outline the state of geophysical networks in the Americas (emphasizing current seismic networks but also looking back on historical temporary deployments), and provide an overview of potential scientific targets in the Americas that encompass a sampling of recently produced research results and datasets. Additionally, we will reflect on strategies for establishing meaningful collaborations across Latin America, an aspect that will be critical to the international partnerships, and associated capacity building, needed for a successful SZO initiative.

  8. Scientific/Techical Report

    SciTech Connect

    Dr. Chris Leighton, Neutron Scattering Society of American; Mr. J. Ardie Dillen, MRS Director of Finance and Administration

    2012-11-07

    The ACNS provides a focal point for the North American neutron user community, strengthening ties within this diverse group, and promoting neutron research in related disciplines. The conference thus serves a dual role as both a national user meeting and a scientific meeting. As a venue for scientific exchange, the ACNS showcases recent results and provides a forum for scientific discussion of neutron-enabled research in fields as diverse as hard and soft condensed matter, liquids, biology, magnetism, engineering materials, chemical spectroscopy, crystal structure, elementary excitations, fundamental physics, and development of neutron instrumentation. This is achieved through a combination of invited oral presentations, contributed oral presentations, and poster sessions. Adequate opportunity for spontaneous discussion and collaboration is also built into the ACNS program in order to foster free exchange of new scientific ideas and the potential for use of powerful neutron scattering methods beyond the current realms of application. The sixth American Conference on Neutron Scattering (ACNS 2012) provided essential information on the breadth and depth of current neutron-related research worldwide. A strong program of plenary, invited and contributed talks showcased recent scientific results in neutron science in a wide range of fields, including soft and hard condensed matter, biology, chemistry, energy and engineering applications, and neutron physics.

  9. A Framework for Socio-Scientific Issues Based Education

    ERIC Educational Resources Information Center

    Presley, Morgan L.; Sickel, Aaron J.; Muslu, Nilay; Merle-Johnson, Dominike; Witzig, Stephen B.; Izci, Kemal; Sadler, Troy D.

    2013-01-01

    Science instruction based on student exploration of socio-scientific issues (SSI) has been presented as a powerful strategy for supporting science learning and the development of scientific literacy. This paper presents an instructional framework for SSI based education. The framework is based on a series of research studies conducted in a diverse…

  10. The Electrophysiological Correlates of Scientific Innovation Induced by Heuristic Information

    ERIC Educational Resources Information Center

    Luo, Junlong; Du, Xiumin; Tang, Xiaochen; Zhang, Entao; Li, Haijiang; Zhang, Qinglin

    2013-01-01

    In this study, novel and old scientific innovations (NSI and OSI) were selected as materials to explore the electrophysiological correlates of scientific innovation induced by heuristic information. Using event-related brain potentials (ERPs) to do so, college students solved NSI problems (for which they did not know the answers) and OSI problems…

  11. Public understanding of science is not scientific literacy

    SciTech Connect

    McGowan, A.

    1995-12-31

    The author notes that public understanding of science has, in many quarters, been taken over by the wrong notion of scientific literacy. The need for the scientific community to develop the language that speaks to the public in general is explored. Methodologies to improve communication to the general public and increase their understanding with clearly developed metaphors are examined.

  12. Representation of Scientific Methodology in Secondary Science Textbooks

    ERIC Educational Resources Information Center

    Binns, Ian C.; Bell, Randy L.

    2015-01-01

    This study explored how eight widely used secondary science textbooks described scientific methodology and to what degree the textbooks' examples and investigations were consistent with this description. Data consisted of all text from student and teacher editions that referred to scientific methodology and all investigations. Analysis used an…

  13. Mining the wealth of Phobos multispectral data contained in MEX-OMEGA and MRO-CRISM datasets

    NASA Astrophysics Data System (ADS)

    Pajola, Maurizio; Roush, Ted

    2016-04-01

    The origin of Phobos is still strongly debated between in situ versus asteroid capture formation scenarios. Growing interest in Phobos as a scientific destination is demonstrated by the multiple NASA-Discovery missions presented in 2015, the proposed ESA-M class mission PhoDEx, and JAXA's Mars Moon's sample return mission (MMX, Mars Moons eXploration). This large number of Phobos dedicated missions and JAXA's planned mission clearly illustrate the scientific interest in Phobos as a destination. We believe that there is still a wealth of data that can be mined in order to constrain Phobos' surface properties and possibly its origin. There are several multispectral Phobos datasets available on the NASA-Planetary Data System. In this work we focus on the first steps aimed to perform a new spectral analysis on the Mars satellite Phobos. We made use of the available Mars Express (MEX) OMEGA spectral cubes, obtained throughout the MEX mission, and Mars Reconnaissance Orbiter (MRO) CRISM hyperspectral data obtained during early MRO orbits around Mars. Previous analyses (Fraeman et al. 2012, 2014) mainly focus on three specific Regions of Interest, ROIs, located inside the so-called blue and red regions of Phobos, i.e. inside or close to Stickney crater (the biggest crater on Phobos, 8-km in diameter) and its eastern ejecta blanket. We extended this analysis by considering multiple ROIs located both in the leading and the trailing hemispheres of the satellite, taking advantage of the broader coverage of the OMEGA and CRISM data. This provides the possibility to detect spectral properties of intermediate areas located in the transition region between the blue and the red spectral unit. The analyses can enable i) documentation of how the spectral slope changes between these two units, ii) their boundaries and surface extent, and iii) identify additional surface materials, if present. This work paves the way to a more thorough analysis, foreseen in the near future, where the

  14. Asteroid exploration and utilization

    NASA Technical Reports Server (NTRS)

    Radovich, Brian M.; Carlson, Alan E.; Date, Medha D.; Duarte, Manny G.; Erian, Neil F.; Gafka, George K.; Kappler, Peter H.; Patano, Scott J.; Perez, Martin; Ponce, Edgar

    1992-01-01

    The Earth is nearing depletion of its natural resources at a time when human beings are rapidly expanding the frontiers of space. The resources possessed by asteroids have enormous potential for aiding and enhancing human space exploration as well as life on Earth. Project STONER (Systematic Transfer of Near Earth Resources) is based on mining an asteroid and transporting raw materials back to Earth. The asteroid explorer/sample return mission is designed in the context of both scenarios and is the first phase of a long range plan for humans to utilize asteroid resources. Project STONER is divided into two parts: asteroid selection and explorer spacecraft design. The spacecraft design team is responsible for the selection and integration of the subsystems: GNC, communications, automation, propulsion, power, structures, thermal systems, scientific instruments, and mechanisms used on the surface to retrieve and store asteroid regolith. The sample return mission scenario consists of eight primary phases that are critical to the mission.

  15. Conjoined twins: scientific cinema and Pavlovian physiology.

    PubMed

    Krementsov, Nikolai

    2015-01-01

    Through the lens of a 1957 documentary film, "Neural and humoral factors in the regulation of bodily functions (research on conjoined twins)," produced by the USSR Academy of Medical Sciences, this essay traces the entwined histories of Soviet physiology, studies of conjoined twins and scientific cinema. It examines the role of Ivan Pavlov and his students, including Leonid Voskresenkii, Dmitrii Fursikov and Petr Anokhin, in the development of "scientific film" as a particular cinematographic genre in Soviet Russia and explores numerous puzzles hidden behind the film's striking visuals.

  16. Plagiarism in scientific publishing.

    PubMed

    Masic, Izet

    2012-12-01

    Scientific publishing is the ultimate product of scientist work. Number of publications and their quoting are measures of scientist success while unpublished researches are invisible to the scientific community, and as such nonexistent. Researchers in their work rely on their predecessors, while the extent of use of one scientist work, as a source for the work of other authors is the verification of its contributions to the growth of human knowledge. If the author has published an article in a scientific journal it cannot publish the article in any other journal h with a few minor adjustments or without quoting parts of the first article, which are used in another article. Copyright infringement occurs when the author of a new article with or without the mentioning the author used substantial portions of previously published articles, including tables and figures. Scientific institutions and universities should,in accordance with the principles of Good Scientific Practice (GSP) and Good Laboratory Practices (GLP) have a center for monitoring,security, promotion and development of quality research. Establish rules and compliance to rules of good scientific practice are the obligations of each research institutions,universities and every individual-researchers,regardless of which area of science is investigated. In this way, internal quality control ensures that a research institution such as a university, assume responsibility for creating an environment that promotes standards of excellence, intellectual honesty and legality. Although the truth should be the aim of scientific research, it is not guiding fact for all scientists. The best way to reach the truth in its study and to avoid the methodological and ethical mistakes is to consistently apply scientific methods and ethical standards in research. Although variously defined plagiarism is basically intended to deceive the reader's own scientific contribution. There is no general regulation of control of

  17. Making better scientific figures

    NASA Astrophysics Data System (ADS)

    Hawkins, Ed; McNeall, Doug

    2016-04-01

    In the words of the UK government chief scientific adviser "Science is not finished until it's communicated" (Walport 2013). The tools to produce good visual communication have never been so easily accessible to scientists as at the present. Correspondingly, it has never been easier to produce and disseminate poor graphics. In this presentation, we highlight some good practice and offer some practical advice in preparing scientific figures for presentation to peers or to the public. We identify common mistakes in visualisation, including some made by the authors, and offer some good reasons not to trust defaults in graphics software. In particular, we discuss the use of colour scales and share our experiences in running a social media campaign (http://tiny.cc/endrainbow) to replace the "rainbow" (also "jet", or "spectral") colour scale as the default in (climate) scientific visualisation.

  18. The future scientific CCD

    NASA Technical Reports Server (NTRS)

    Janesick, J. R.; Elliott, T.; Collins, S.; Marsh, H.; Blouke, M. M.

    1984-01-01

    Since the first introduction of charge-coupled devices (CCDs) in 1970, CCDs have been considered for applications related to memories, logic circuits, and the detection of visible radiation. It is pointed out, however, that the mass market orientation of CCD development has left largely untapped the enormous potential of these devices for advanced scientific instrumentation. The present paper has, therefore, the objective to introduce the CCD characteristics to the scientific community, taking into account prospects for further improvement. Attention is given to evaluation criteria, a summary of current CCDs, CCD performance characteristics, absolute calibration tools, quantum efficiency, aspects of charge collection, charge transfer efficiency, read noise, and predictions regarding the characteristics of the next generation of silicon scientific CCD imagers.

  19. PLAGIARISM IN SCIENTIFIC PUBLISHING

    PubMed Central

    Masic, Izet

    2012-01-01

    Scientific publishing is the ultimate product of scientist work. Number of publications and their quoting are measures of scientist success while unpublished researches are invisible to the scientific community, and as such nonexistent. Researchers in their work rely on their predecessors, while the extent of use of one scientist work, as a source for the work of other authors is the verification of its contributions to the growth of human knowledge. If the author has published an article in a scientific journal it cannot publish the article in any other journal h with a few minor adjustments or without quoting parts of the first article, which are used in another article. Copyright infringement occurs when the author of a new article with or without the mentioning the author used substantial portions of previously published articles, including tables and figures. Scientific institutions and universities should,in accordance with the principles of Good Scientific Practice (GSP) and Good Laboratory Practices (GLP) have a center for monitoring,security, promotion and development of quality research. Establish rules and compliance to rules of good scientific practice are the obligations of each research institutions,universities and every individual-researchers,regardless of which area of science is investigated. In this way, internal quality control ensures that a research institution such as a university, assume responsibility for creating an environment that promotes standards of excellence, intellectual honesty and legality. Although the truth should be the aim of scientific research, it is not guiding fact for all scientists. The best way to reach the truth in its study and to avoid the methodological and ethical mistakes is to consistently apply scientific methods and ethical standards in research. Although variously defined plagiarism is basically intended to deceive the reader’s own scientific contribution. There is no general regulation of control of

  20. Scientific ballooning in Japan

    NASA Astrophysics Data System (ADS)

    Makino, Fumiyoshi

    Activities in scientific ballooning in Japan during 1998-1999 are reported. The total number of scientific balloons flown in Japan in 1998 and 1999 was sixteen, eight flights in each year. The scientific objectives were observations of high energy cosmic electrons, air samplings at various altitudes, monitoring of atmospheric ozone density, Galactic infrared observations, and test flights of new type balloons. Balloon expeditions were conducted in Antarctica by the National Institute of Polar Research, in Russia, in Canada and in India in collaboration with foreign countries' institutes to investigate cosmic rays, Galactic infrared radiation, and Earth's atmosphere. There were three flights in Antarctica, four flights in Russia, three flights in Canada and two flights in India. Four test balloons were flown for balloon technology, which included pumpkin-type super-pressure balloon and a balloon made with ultra-thin polyethylene film of 3.4 μm thickness.