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!!!This site has been decomissioned!!!! The Geographic Information Support Team (GIST) Repository at the University of Georgia is a USAID-funded global archive of spatial data collected and distributed for the greater humanitarian community. If you want to search for data, you will need a valid email address to create an account.
NASA’s Precipitation Measurement Missions – TRMM and GPM – provide advanced information on rain and snow characteristics and detailed three-dimensional knowledge of precipitation structure within the atmosphere, which help scientists study and understand Earth's water cycle, weather and climate.
The Magnetics Information Consortium (MagIC) improves research capacity in the Earth and Ocean sciences by maintaining an open community digital data archive for rock magnetic, geomagnetic, archeomagnetic (archaeomagnetic) and paleomagnetic (palaeomagnetic) data. Different parts of the website allow users access to archive, search, visualize, and download these data. MagIC supports the international rock magnetism, geomagnetism, archeomagnetism (archaeomagnetism), and paleomagnetism (palaeomagnetism) research and endeavors to bring data out of private archives, making them accessible to all and (re-)useable for new, creative, collaborative scientific and educational activities. The data in MagIC is used for many types of studies including tectonic plate reconstructions, geomagnetic field models, paleomagnetic field reversal studies, magnetohydrodynamical studies of the Earth's core, magnetostratigraphy, and archeology. MagIC is a domain-specific data repository and directed by PIs who are both producers and consumers of rock, geo, and paleomagnetic data. Funded by NSF since 2003, MagIC forms a major part of https://earthref.org which integrates four independent cyber-initiatives rooted in various parts of the Earth, Ocean and Life sciences and education.
The Index to Marine and Lacustrine Geological Samples is a tool to help scientists locate and obtain geologic material from sea floor and lakebed cores, grabs, and dredges archived by participating institutions around the world. Data and images related to the samples are prepared and contributed by the institutions for access via the IMLGS and long-term archive at NGDC. Before proposing research on any sample, please contact the curator for sample condition and availability. A consortium of Curators guides the IMLGS, maintained on behalf of the group by NGDC, since 1977.
The National Science Digital Library provides high quality online educational resources for teaching and learning, with current emphasis on the sciences, technology, engineering, and mathematics (STEM) disciplines—both formal and informal, institutional and individual, in local, state, national, and international educational settings. The NSDL collection contains structured descriptive information (metadata) about web-based educational resources held on other sites by their providers. These providers have contribute this metadata to NSDL for organized search and open access to educational resources via this website and its services.
The Global Hydrology Resource Center (GHRC) provides both historical and current Earth science data, information, and products from satellite, airborne, and surface-based instruments. GHRC acquires basic data streams and produces derived products from many instruments spread across a variety of instrument platforms.
The Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow. Building upon the success of the Tropical Rainfall Measuring Mission (TRMM), the GPM concept centers on the deployment of a “Core” satellite carrying an advanced radar / radiometer system to measure precipitation from space and serve as a reference standard to unify precipitation measurements from a constellation of research and operational satellites.
OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources. The OpenTopography Facility is based at the San Diego Supercomputer Center at the University of California, San Diego and is operated in collaboration with colleagues in the School of Earth and Space Exploration at Arizona State University and Earthscope Consortium. Core operational support for OpenTopography comes from the National Science Foundation Earth Sciences.
PISCO researchers collect biological, chemical, and physical data about ocean ecosystems in the nearshore portions of the California Current Large Marine Ecosystem. Data are archived and used to create summaries and graphics, in order to ensure that the data can be used and understood by a diverse audience of managers, policy makers, scientists and the general public.
Under the World Climate Research Programme (WCRP) the Working Group on Coupled Modelling (WGCM) established the Coupled Model Intercomparison Project (CMIP) as a standard experimental protocol for studying the output of coupled atmosphere-ocean general circulation models (AOGCMs). CMIP provides a community-based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access. This framework enables a diverse community of scientists to analyze GCMs in a systematic fashion, a process which serves to facilitate model improvement. Virtually the entire international climate modeling community has participated in this project since its inception in 1995. The Program for Climate Model Diagnosis and Intercomparison (PCMDI) archives much of the CMIP data and provides other support for CMIP. We are now beginning the process towards the IPCC Fifth Assessment Report and with it the CMIP5 intercomparison activity. The CMIP5 (CMIP Phase 5) experiment design has been finalized with the following suites of experiments: I Decadal Hindcasts and Predictions simulations, II "long-term" simulations, III "atmosphere-only" (prescribed SST) simulations for especially computationally-demanding models. The new ESGF peer-to-peer (P2P) enterprise system (http://pcmdi9.llnl.gov) is now the official site for CMIP5 model output. The old gateway (http://pcmdi3.llnl.gov) is deprecated and now shut down permanently.
The Web-enabled Landsat data (WELD) project combines geophysical and biophysical Landstat data for the purposes of long-term preservation and monitoring of national, regional, and local data. WELD products are already "terrain-corrected and radiometrically calibrated" so as to be more easily accessible to researchers.
The Polar Rock Repository (PRR) at the Byrd Polar and Climate Research Center (BPCRC) at Ohio State University is an NSF-OPP funded facility that provides access to rock, terrestrial drill core, glacial deposits and marine dredge samples from Antarctica and the Southern Ocean. The polar rock collection and database includes field notes, photos, maps, cores, powder and mineral residues, thin sections, and residues. Rock samples may be borrowed for research by university scientists. Samples may also be borrowed for educational or museum use in the United States.
The changing demographic composition has expanded the scope of the U.S. racial and ethnic mosaic. As a result, interest and research on race and ethnicity has become more complex and expansive. RCMD seeks to assist in the public dissemination and preservation of quality data to generate more "good science" for years to come. Finally, RCMD wants to be part of an interactive community of persons interested and be involved in minority related issues/investigations in order to make possible the broadest scope of research endeavors and examinations.
<<<!!!<<< This repository is no longer available. >>>!!!>>> TRMM is a research satellite designed to improve our understanding of the distribution and variability of precipitation within the tropics as part of the water cycle in the current climate system. By covering the tropical and sub-tropical regions of the Earth, TRMM provides much needed information on rainfall and its associated heat release that helps to power the global atmospheric circulation that shapes both weather and climate. In coordination with other satellites in NASA's Earth Observing System, TRMM provides important precipitation information using several space-borne instruments to increase our understanding of the interactions between water vapor, clouds, and precipitation, that are central to regulating Earth's climate. The TRMM mission ended in 2015 and final TRMM multi-satellite precipitation analyses (TMPA, product 3B42/3B43) data processing will end December 31st, 2019. As a result, this TRMM webpage is in the process of being retired and some TRMM imagery may not be displaying correctly. Some of the content will be moved to the Precipitation Measurement Missions website https://gpm.nasa.gov/ and our team is exploring ways to provide some of the real-time products using GPM data. Please contact us if you have any additional questions.
The Greenland Climate Network provides year-round data on the climate of Greenland's ice sheet. These data are available to researchers by request through the Greenland Climate Network Data Request Web page. GC-Net data, previously hosted by CIRES, have now been moved to WSL’s Envidat data repository. The Geological Survey of Denmark and Greenland (GEUS) in Copenhagen, has been appointed to the continuation of climate monitoring at the GC-Net sites (https://eng.geus.dk/about/news/news-archive/2020/december/geus-takes-over-american-climate-stations-on-the-greenland-ice-sheet). The new GC-Net data will be distributed through the PROMICE website (https://www.promice.org/).
The Cornell Center for Social Sciences (CCSS) houses an extensive collection of research data files in the social sciences with particular emphasis on data that matches the interests of Cornell University researchers. CCSS intentionally uses a broad definition of social sciences in recognition of the interdisciplinary nature of Cornell research. CCSS collects and maintains digital research data files in the social sciences, with a current emphasis on Cornell-based social science research, Results Reproduction packages, and potentially at-risk datasets. Our archive historically has focused on a broad range of social science data, including data on demography, economics and labor, political and social behavior, family life, and health. You can search our holdings or browse studies by subject area.
The Arctic Data Center is the primary data and software repository for the Arctic section of NSF Polar Programs. The Center helps the research community to reproducibly preserve and discover all products of NSF-funded research in the Arctic, including data, metadata, software, documents, and provenance that links these together. The repository is open to contributions from NSF Arctic investigators, and data are released under an open license (CC-BY, CC0, depending on the choice of the contributor). All science, engineering, and education research supported by the NSF Arctic research program are included, such as Natural Sciences (Geoscience, Earth Science, Oceanography, Ecology, Atmospheric Science, Biology, etc.) and Social Sciences (Archeology, Anthropology, Social Science, etc.). Key to the initiative is the partnership between NCEAS at UC Santa Barbara, DataONE, and NOAA’s NCEI, each of which bring critical capabilities to the Center. Infrastructure from the successful NSF-sponsored DataONE federation of data repositories enables data replication to NCEI, providing both offsite and institutional diversity that are critical to long term preservation.
HydroShare is a system operated by The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that enables users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare providing users with a gateway to high performance computing and computing in the cloud. With HydroShare you can: share data and models with colleagues; manage access to shared content; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models with data in HydroShare.