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Found 195 result(s)
Using a combination of remote sensing data and ground observations as inputs, CHC scientists have developed rainfall estimation techniques and other resources to support drought monitoring and predict crop performance in parts of the world vulnerable to crop failure. Policymakers within governments and non-governmental organizations rely on CHC decision-support products to make critical resource allocation decisions. The CHC's scientific focus is "geospatial hydroclimatology," with an emphasis on the early detection and forecasting of hydroclimatic hazards related to food-security droughts and floods. Basic research seeks an improved understanding of the climatic processes that govern drought and flood hazards in FEWS NET countries (https://fews.net/). The CHC develops better techniques, algorithms, and modeling applications in order to use remote sensing and other geospatial data for hazards early warning.
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ROAD is spatio-temporal database targeting a systemic understanding of human activities and expansions 3 Ma – 20 ka in Africa and Eurasia. The database contains cultural, anthropological, environmental and geographical information about archaeological sites and assemblages. After registration, the database offers access through a SQL query tool, an interactive web map (called "Map Module") as well as "Summary Factsheets", which present information about single localities in a PDF file.
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The objective of the PDRC is to construct and collect a well-designed and large-scale panel data set and provide rigorous empirical studies based on these data sets. The data will enable us (i) to provide international comparisons and fact-findings on the household income changes, social mobility, changes in employment status and the investment activities; (ii) to verify the hypotheses related to the dynamics of economic behavior derived from economic theory; and (iii) to evaluate important policy changes in the tax system and social security program, which might have lagged effects.
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GCRIS Database is a research and performance evaluation information system that enables searching and discovering all research outputs within the Izmir Institute of Technology research ecosystem, associating these outputs with researchers, providing advanced reporting with different metrics, and supporting corporate strategic decisions. Besides, it is an institutional repository at international standards that brings together and organizes all kinds of academic outputs related to research activities and allows sharing with the whole scientific world by providing long-term preservation.
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The Research Data Center of the Federal Institute for Occupational Safety and Health (FDZ-BAuA) provides selected data from BAuA research. The Public Use Files can be used by scientists as well as by the interested public.
Arca Data is Fiocruz's official repository for archiving, publishing, disseminating, preserving and sharing digital research data produced by the Fiocruz community or in partnership with other research institutes or bodies, with the aim of promoting new research, ensuring the reproducibility or replicability of existing research and promoting an Open and Citizen Science. Its objective is to stimulate the wide circulation of scientific knowledge, strengthening the institutional commitment to Open Science and free access to health information, in addition to providing transparency and fostering collaboration between researchers, educators, academics, managers and graduate students, to the advancement of knowledge and the creation of solutions that meet the demands of society.
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The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education.
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The CHILDdb platform provides access to data produced by the CHILD project, a longitudinal birth cohort study of children from pregnancy to 8 years of age, across four Canadian provinces. This study analyzes the participants' home environment including physical, chemical, viral, bacterial, nutritional and psychosocial exposures. This data is expected to further knowledge of the genetic and environmental determinants of atopic diseases including asthma, allergy, allergic rhinitis, and eczema. Researchers can create an account to view meta and aggregate data; access demographic data summaries based on selected variables; and submit a scientific Concept Proposal for approval to access individual-level study data.
The George Mason University Dataverse is available for George Mason faculty, staff, and students to publish, share, and preserve their research data of enduring value. It is a companion to the Mason Archival Repository Service (https://mars.gmu.edu).
A curated database of mutations and polymorphisms associated with Lafora Progressive Myoclonus Epilepsy. The Lafora progressive myoclonus epilepsy mutation and polymorphism database is a collection of hand curated mutation and polymorphism data for the EPM2A and EPM2B (NHLRC1) from publicly available literature: databases and unpublished data. The database is continuously updated with information from in-house experimental data as well as data from published research studies.
This Repository holds research data for all research projects where there is a need to store and share the supporting research. According to current Research Data Policy these records will include all data from projects funded by RCUK funders and in particular the AHRC.
The Dallas Heart Study (DHS) is a multi-ethnic, population-based probability sample of Dallas County designed to define the social and the biological variables contributingto ethnic differences in cardiovascular health at the community level and to support hypothesis-driven research aimed at determining the underlying mechanisms contributing to differences in cardiovascular risk. The initial data collection from the population was performed in three sequential stages over a two year period(2000-2002) and included the collection of detailed socioeconomic, biomarker and imaging data from each participant. The underlying assumption of the study is that successful identification of new risk factors for cardiovascular disease will require the availability of an exquisitely phenotyped, multiethnic population in close proximity to the Center.
Chapman University Digital Commons is an open access digital repository and publication platform designed to collect, store, index, and provide access to the scholarly and creative output of Chapman University faculty, students, staff, and affiliates. In it are faculty research papers and books, data sets, outstanding student work, audiovisual materials, images, special collections, and more, all created by members of or owned by Chapman University. The datasets are listed in a separate collection.
The Australian Drosophila Ecology and Evolution Resource (ADEER) from the Hoffmann lab and other contributors is a nationally significant life science collection. The Drosophila Clinal Data Collection contains data on populations along the eastern coast of Australia. It remains an excellent resource for understanding past and future evolutionary responses to climate change. The Drosophila Genomic Data Collection hosts Drosophila genomes sequenced as part of the Genomic Basis for Adaptation to Climate Change Project. 23 genomes have been sequenced as part of this project. Currently assemblies and annotations are available for Drosophila birchii, D. bunnanda, D. hydei, and D. repleta. The Drosophila Species Distribution Data Collection contains distribution data of nine drosophilid species that have been collected in Australia by the Hoffmann lab and other research groups between 1924 and 2005. More than 300 drosophilid species have been identified in the tropical and temperate forests located on the east coast of Australia. Many species are restricted to the tropics, a few are temperate specialists, and some have broad distributions across climatic regions. Their varied distribution along the tropical - temperate cline provide a powerful tool for studying climate adaptation and species distribution limits.
The Astromaterials Data System (AstroMat) is a data infrastructure to store, curate, and provide access to laboratory data acquired on samples curated in the Astromaterials Collection of the Johnson Space Center. AstroMat is developed and operated at the Lamont-Doherty Earth Observatory of Columbia University and funded by NASA.
Welcome to the York Research Database, where you can find all our research staff, projects, publications and organisational units, and explore the connections between them all. The university of York is a member of the Russell Group of research-intensive universities.
International Research Institute for Climate and Society (IRI) research focuses on climate, environmental monitoring, agriculture, health, water, and economic sectors in Africa, Asia and Pacific, and Latin America and Caribbean. The IRI data library is a freely accessible data repository and analysis tool. IRI allows users to view, manipulate, and download climate-related data sets through a standard web browser.
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. It is used by students, educators, and researchers all over the world as a primary source of machine learning data sets. As an indication of the impact of the archive, it has been cited over 1000 times.
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EarthByte is an internationally leading eGeoscience collaboration between several Australian Universities, international centres of excellence and industry partners. One of the fundamental aims of the EarthByte Group is geodata synthesis through space and time, assimilating the wealth of disparate geological and geophysical data into a four-dimensional Earth model including tectonics, geodynamics and surface processes. The EarthByte Group is pursuing open innovation via collaborative software development, high performance and distributed computing, “big data” analysis and by making open access digital data collections available to the community.