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Found 270 result(s)
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.
SCEC's mission includes gathering data on earthquakes, both in Southern California and other locales; integrate the information into a comprehensive understanding of earthquake phenomena; and communicate useful knowledge for reducing earthquake risk to society at large. The SCEC community consists of more than 600 scientists from 16 core institutions and 47 additional participating institutions. SCEC is funded by the National Science Foundation and the U.S. Geological Survey.
=== !!!!! Due to changes in technology and funding, the RAD website is no longer available !!!!! ===
---<<< This repository is no longer available. This record is out-dated >>>--- The ONS challenge contains open solubility data, experiments with raw data from different scientists and institutions. It is part of the The Open Notebook Science wiki community, ideally suited for community-wide collaborative research projects involving mathematical modeling and computer simulation work, as it allows researchers to document model development in a step-by-step fashion, then link model prediction to experiments that test the model, and in turn, use feeback from experiments to evolve the model. By making our laboratory notebooks public, the evolutionary process of a model can be followed in its totality by the interested reader. Researchers from laboratories around the world can now follow the progress of our research day-to-day, borrow models at various stages of development, comment or advice on model developments, discuss experiments, ask questions, provide feedback, or otherwise contribute to the progress of science in any manner possible.
>>>!!!<<< 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.
!!!! <<<< 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.
>>>!!!<<< The repository is no longer available. >>>!!!<<< 2021-06-17; VentDB data collections now housed in the EarthChem Library VentDB is an effort funded by the US National Science Foundation to build and operate a data management system for hydrothermal spring geochemistry that will host and serve the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. VentDB supports the preservation and dissemination of analytical data on hydrothermal springs and plumes. VentDB complements existing geochemical data collections such as SedDB and PetDB. VentDB can accommodate published historical data as well as legacy and new data that investigators contribute. Content of VentDB is static and will not be updated until further notice.
The tree of life links all biodiversity through a shared evolutionary history. This project will produce the first online, comprehensive first-draft tree of all 1.8 million named species, accessible to both the public and scientific communities. Assembly of the tree will incorporate previously-published results, with strong collaborations between computational and empirical biologists to develop, test and improve methods of data synthesis. This initial tree of life will not be static; instead, we will develop tools for scientists to update and revise the tree as new data come in. Early release of the tree and tools will motivate data sharing and facilitate ongoing synthesis of knowledge.
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.
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.
LEPR is a database of results of published experimental studies involving liquid-solid phase equilibria relevant to natural magmatic systems. TraceDs is a database of experimental studies involving trace element distribution between liquid, solid and fluid phases.
The repository is no longer available. >>>!!!<<< 2021-01-25: no more access to California Water CyberInfrastructure >>>!!!<<<
The NREL Data Catalog is where descriptive information (i.e., metadata) is maintained about public data resulting from federally funded research conducted by the National Renewable Energy Laboratory (NREL) researchers and analysts. Our Goal: Making Federally Funded Data Publicly Available NREL's mission is to develop clean energy and energy efficiency technologies and practices, advance related science and engineering, and provide knowledge and innovations to integrate energy systems at all scales. The NREL Data Catalog helps accomplish this by ensuring the data behind the science and engineering are well-documented and useful to the scientific community at large.
COViMS (COVID-19 Infections in MS & Related Diseases) is a joint effort of the National MS Society, Consortium of MS Centers and Multiple Sclerosis Society of Canada to capture information on outcomes of people with MS and other CNS demyelinating diseases (Neuromyelitis Optica, or MOG antibody disease) who have developed COVID-19.
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.
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library. It is written in C++ and easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. SNAP is also available through the NodeXL which is a graphical front-end that integrates network analysis into Microsoft Office and Excel. The SNAP library is being actively developed since 2004 and is organically growing as a result of our research pursuits in analysis of large social and information networks. Largest network we analyzed so far using the library was the Microsoft Instant Messenger network from 2006 with 240 million nodes and 1.3 billion edges. The datasets available on the website were mostly collected (scraped) for the purposes of our research. The website was launched in July 2009.
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.
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.
The Objectively Analyzed air-sea Fluxes (OAFlux) project is a research and development project focusing on global air-sea heat, moisture, and momentum fluxes. The project is committed to produce high-quality, long-term, global ocean surface forcing datasets from the late 1950s to the present to serve the needs of the ocean and climate communities on the characterization, attribution, modeling, and understanding of variability and long-term change in the atmosphere and the oceans.
AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first iteration (released in early 2010), AmoebaDB contains the genomes of three Entamoeba species (see below). AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.
KU ScholarWorks is the digital repository of the University of Kansas. It contains scholarly work created by KU faculty, staff and students, as well as material from the University Archives. KU ScholarWorks makes important research and historical items available to a wider audience and helps assure their long-term preservation.
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.