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Found 131 result(s)
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The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The online interface provides access to six datasets: MEDLINE papers, registered Clinical Trials, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, National Institutes of Health (NIH) funding, and National Endowment for the Humanities funding – over 26 million records in total.
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The Lunar Orbiter Photographic Atlas of the Moon by Bowker and Hughes (NASA SP-206) is considered the definitive reference manual to the global photographic coverage of the Moon. The images contained within the atlas are excellent for studying lunar morphology because they were obtained at low to moderate Sun angles. The digital Lunar Orbiter Atlas of the Moon is a reproduction of the 675 plates contained in Bowker and Hughes. The digital archive, however, offers many improvements upon its original hardbound predecessor. Multiple search capabilities were added to the database to expedite locating images and features of interest. For accuracy and usability, surface feature information has been updated and improved. Lastly, to aid in feature identification, a companion image containing feature annotation has been included. The symbols on the annotated overlays, however, should only be used as locators and not for precise measurements. More detailed information about the digital archive process can be read in abstracts presented at the 30th and 31st Lunar and Planetary Science Conferences.
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The National Archives and Records Administration (NARA) is the nation's record keeper. Of all documents and materials created in the course of business conducted by the United States Federal government, only 1%-3% are so important for legal or historical reasons that they are kept by us forever.
Those valuable records are preserved and are available to you, whether you want to see if they contain clues about your family’s history, need to prove a veteran’s military service, or are researching an historical topic that interests you.
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>>>!!!<<< SMD has been retired.
After approximately fifteen years of microarray-centric research service, the Stanford Microarray Database has been retired. We apologize for any inconvenience; please read below for possible resolutions to your queries.
If you are looking for any raw data that was directly linked to SMD from a manuscript, please search one of the public repositories.
NCBI Gene Expression Omnibus
EBI ArrayExpress
All published data were previously communicated to one (or both) of the public repositories.
Alternatively, data for publications between 1997 and 2004 were likely migrated to the Princeton University MicroArray Database, and are accessible there.
If you are looking for a manuscript supplement (i.e. from a domain other than smd.stanford.edu), perhaps try searching the Internet Archive: Wayback Machine https://archive.org/web/ . >>>!!!<<<
The Stanford Microarray Database (SMD) is a DNA microarray research database that provides a large amount of data for public use.
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=== !!!!! Due to changes in technology and funding, the RAD website is no longer available !!!!! ===
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The Chesapeake Bay Environmental Observatory (CBEO) is a prototype to demonstrate the utility of newly developed Cyberinfrastructure (CI) components for transforming environmental research, education, and management. The CBEO project uses a specific problem of water quality (hypoxia) as means of directly involving users and demonstrating the prototype’s utility.
Data from the Test Bed are being brought into a CBEO Portal on a National Geoinformatics Grid developed by the NSF funded GEON. This is a cyberinfrastructure netwrok that allows users access to datasets as well as the tools with which to analyze the data.
Currently, Test Bed data avaialble on the CBEO Portal includes Water Quality Model output and water quality monitorig data from the Chesapeake Bay Program's CIMS database. This data is also available as aggregated "data cubes". Avaialble tools include the Data Access System for Hydrology (DASH), Hydroseek and an online R-based interpolator.
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Peptidome was a public repository that archived tandem mass spectrometry peptide and protein identification data generated by the scientific community. This repository is now offline and is in archival mode. All data may be obtained from the Peptidome FTP site. Due to budgetary constraints NCBI has discontinued the Peptidome Repository. All existing data and metadata files will continue to be made available from our ftp server a ftp://ftp.ncbi.nih.gov/pub/peptidome/ indefinitely. Those files are named according to their Peptidome accession number, allowing cited data to be identified and downloaded. All of the Peptidome studies have been made publicly available at the PRoteomics IDEntifications (PRIDE) database. A map of Peptidome to Pride accessions may be found at ftp://ftp.ncbi.nih.gov/pub/peptidome/peptidome-pride_map.txt.
If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov.
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>>>!!!<<< 2019-12-04: The repository is no longer available >>>!!!<<<
Presented here are excitation cross sections measured for a select number of transitions using the Merged Electron-Ion Beams Energy Loss (MEIBEL) experiment. This is a collaboration of JILA and the Multicharged Ion Research Facility (MIRF) at Oak Ridge National Laboratory (ORNL), where the apparatus is located. Since there exist a nearly infinite number of transitions in multicharged ions we have chosen a few that serve as benchmarks for theoretical efforts. Of particular interest are forbidden transitions which are often dominated by dielectronic resonances whose positions and magnitudes are difficult to predict theoretically.
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!!!! <<<< The Community Data Portal (CDP) has been retired after nearly 15 years of service and is no longer available. Data can now be found here: DASH Search: https://data.ucar.edu/ . Please contact us with questions or concerns: datahelp@ucar.edu >>>> !!!! The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.
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Atomic and Ionic UV/VUV Linelist . This facility permits selective searches of some atomic data compliled by R. L. Kelly. The data provided are:
- vacuum wavelength [in nm],
- intensity estimate,
- E [in cm-1], j, and configuration for lower and upper levels,
- multiplet (where available),
- reference numbers of the sources of the data.
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The CMU Multi-Modal Activity Database (CMU-MMAC) database contains multimodal measures of the human activity of subjects performing the tasks involved in cooking and food preparation. The CMU-MMAC database was collected in Carnegie Mellon's Motion Capture Lab. A kitchen was built and to date twenty-five subjects have been recorded cooking five different recipes: brownies, pizza, sandwich, salad, and scrambled eggs.
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NASA Life Sciences Portal is the next generation of the Life Sciences Data Archive for Human, Animal and Plant Research
NASA's Human Research Program (HRP) conducts research and develops technologies that allow humans to travel safely and productively in space. The Program uses evidence from data collected on astronauts, as well as other supporting studies. These data are stored in the research data repository, Life Sciences Data Archive (LSDA).
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The mission of NCHS is to provide statistical information that will guide actions and policies to improve the health of the American people. As the Nation's principal health statistics agency, NCHS is responsible for collecting accurate, relevant, and timely data. NCHS' mission, and those of its counterparts in the Federal statistics system, focuses on the collection, analysis, and dissemination of information that is of use to a broad range of us.
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>>>!!!<<< 2019-01: Global Land Cover Facility goes offline see https://spatialreserves.wordpress.com/2019/01/07/global-land-cover-facility-goes-offline/ ; no more access to http://www.landcover.org >>>!!!<<< The Global Land Cover Facility (GLCF) provides earth science data and products to help everyone to better understand global environmental systems. In particular, the GLCF develops and distributes remotely sensed satellite data and products that explain land cover from the local to global scales.
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The repository is no longer available. >>>!!!<<< 2021-01-25: no more access to California Water CyberInfrastructure >>>!!!<<<
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The information in the Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer relates cytogenetic changes and their genomic consequences, in particular gene fusions, to tumor characteristics, based either on individual cases or associations. All the data have been manually culled from the literature by Felix Mitelman in collaboration with Bertil Johansson and Fredrik Mertens.
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Museum explorers travel to ocean depths, the peaks of the Andes, Africa's Rift Valley, the rainforests of South America, and the deserts of Central Asia. Perhaps even to a field site or research institution in your own state, territory or country. In each area, researchers collect specimens: fossils, minerals, and rocks, plants and animals, tools and artworks. Collections care professionals have meticulously preserved, labeled, cataloged, and organized items of this kind for more than 150 years.
Taken together, the NMNH collections form the largest, most comprehensive natural history collection in the world. By comparing items gathered in different eras and regions, scientists learn how our world has varied across time and space.
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Jason is a remote-controlled deep-diving vessel that gives shipboard scientists immediate, real-time access to the sea floor. Instead of making short, expensive dives in a submarine, scientists can stay on deck and guide Jason as deep as 6,500 meters (4 miles) to explore for days on end.
Jason is a type of remotely operated vehicle (ROV), a free-swimming vessel connected by a long fiberoptic tether to its research ship. The 10-km (6 mile) tether delivers power and instructions to Jason and fetches data from it.
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WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends.
WorldData.AI allows you to save your models in its “My Models Trained” section.
You can make your models public and share them on social media with interesting images, model features, summary statistics, and feature comparisons. Empower others to leverage your models.
For example, if you have discovered a previously unknown impact of interest rates on new-housing demand, you may want to share it through “My Models Trained.”
Upload your data and combine it with external trends to build, train, and deploy predictive models with one click!
WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.
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The Census Bureau releases TIGER/Line shapefiles and metadata each year to the public.
TIGER/Line shapefiles are spatial extracts from the Census Bureau’s MAF/TIGER database. They contain features such as roads, railroads, hydrographic features and legal and statistical boundaries.
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The National Deep Submergence Facility (NDSF) operates the Human Occupied Vehicle (HOV) Alvin, the Remote Operated Vehicle (ROV) Jason 2, and the Autonomous Underwater Vehicle (AUV) Sentry. Data acquired with these platforms is provided both to the science party on each expedition, and to the Woods Hole Oceanographic Institution (WHOI) Data Library.
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State of the Salmon provides data on abundance, diversity, and ecosystem health of wild salmon populations specific to the Pacific Ocean, North Western North America, and Asia. Data downloads are available using two geographic frameworks: Salmon Ecoregions or Hydro 1K.
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The Roper Center has made available its entire collection of Primary exit polls. Primary exit polls datasets include standard demographic makeup of interviewee and questions pertinent to the issues of each state.
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CHIANTI consists of a critically evaluated set of up-to-date atomic data, together with user-friendly programs written in Interactive Data Language (IDL) and Python to calculate the spectra from astrophysical plasmas.
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The Brain Biodiversity Bank refers to the repository of images of and information about brain specimens contained in the collections associated with the National Museum of Health and Medicine at the Armed Forces Institute of Pathology in Washington, DC. These collections include, besides the Michigan State University Collection, the Welker Collection from the University of Wisconsin, the Yakovlev-Haleem Collection from Harvard University, the Meyer Collection from the Johns Hopkins University, and the Huber-Crosby and Crosby-Lauer Collections from the University of Michigan and the C.U. Ariëns Kappers brain collection from Amsterdam Netherlands.Introducing online atlases of the brains of humans, sheep, dolphins, and other animals. A world resource for illustrations of whole brains and stained sections from a great variety of mammals
- Current projects
- EOSC FAIR-IMPACT
- re3data COREF
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To the extent possible under law,
re3data.org
has waived all copyright and related or neighboring rights to
the database entries of re3data.org.
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Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
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- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-05-18
