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Found 34 result(s)
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SODHA is the federal Belgian data archive for social sciences and the digital humanities. SODHA is a new service of the State Archives of Belgium and acts as the Belgian service provider for the Consortium of European Social Science Data Archives (CESSDA).
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.
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Fordatis is the institutional research data repository of the Fraunhofer-Gesellschaft. Fraunhofer-Gesellschaft based in Germany is Europes largest research and technology organization. Fordatis contains research data created by researcher at Fraunhofer. These are data from the engineering, natural sciences and social sciences.
The Mikulski Archive for Space Telescopes (MAST) is a NASA funded project to support and provide to the astronomical community a variety of astronomical data archives, with the primary focus on scientifically related data sets in the optical, ultraviolet, and near-infrared parts of the spectrum. MAST is located at the Space Telescope Science Institute (STScI).
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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.
Pubchem contains 3 databases. 1. PubChem BioAssay: The PubChem BioAssay Database contains bioactivity screens of chemical substances described in PubChem Substance. It provides searchable descriptions of each bioassay, including descriptions of the conditions and readouts specific to that screening procedure. 2. PubChem Compound: The PubChem Compound Database contains validated chemical depiction information provided to describe substances in PubChem Substance. Structures stored within PubChem Compounds are pre-clustered and cross-referenced by identity and similarity groups. 3. PubChem Substance. The PubChem Substance Database contains descriptions of samples, from a variety of sources, and links to biological screening results that are available in PubChem BioAssay. If the chemical contents of a sample are known, the description includes links to PubChem Compound.
>>>!!!<<< This site is going away on April 1, 2021. General access to the site has been disabled and community users will see an error upon login. >>>!!!<<< Socrata’s cloud-based solution allows government organizations to put their data online, make data-driven decisions, operate more efficiently, and share insights with citizens.
The Maize Genetics and Genomics Database focuses on collecting data related to the crop plant and model organism Zea mays. The project's goals are to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models. MaizeGDB also aims to make the Maize Newsletter available, and provide support services to the community of maize researchers. MaizeGDB is working with the Schnable lab, the Panzea project, The Genome Reference Consortium, and iPlant Collaborative to create a plan for archiving, dessiminating, visualizing, and analyzing diversity data. MMaizeGDB is short for Maize Genetics/Genomics Database. It is a USDA/ARS funded project to integrate the data found in MaizeDB and ZmDB into a single schema, develop an effective interface to access this data, and develop additional tools to make data analysis easier. Our goal in the long term is a true next-generation online maize database.aize genetics and genomics database.
STOREDB is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.
The Paleobiology Database (PaleoBioDB) is a non-governmental, non-profit public resource for paleontological data. It has been organized and operated by a multi-disciplinary, multi-institutional, international group of paleobiological researchers. Its purpose is to provide global, collection-based occurrence and taxonomic data for organisms of all geological ages, as well data services to allow easy access to data for independent development of analytical tools, visualization software, and applications of all types. The Database’s broader goal is to encourage and enable data-driven collaborative efforts that address large-scale paleobiological questions.
OLOS is a Swiss-based data management portal tailored for researchers and institutions. Powerful yet easy to use, OLOS works with most tools and formats across all scientific disciplines to help researchers safely manage, publish and preserve their data. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, OLOS can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on OLOS to complement what they have already implemented. OLOS is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).
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The Swedish Human Protein Atlas project has been set up to allow for a systematic exploration of the human proteome using Antibody-Based Proteomics. This is accomplished by combining high-throughput generation of affinity-purified antibodies with protein profiling in a multitude of tissues and cells assembled in tissue microarrays. Confocal microscopy analysis using human cell lines is performed for more detailed protein localization. The program hosts the Human Protein Atlas portal with expression profiles of human proteins in tissues and cells. The main objective of the resource centre is to produce specific antibodies to human target proteins using a high-throughput production method involving the cloning and protein expression of Protein Epitope Signature Tags (PrESTs). After purification, the antibodies are used to study expression profiles in cells and tissues and for functional analysis of the corresponding proteins in a wide range of platforms.
The UK Data Archive, based at the University of Essex, is curator of the largest collection of digital data in the social sciences and humanities in the United Kingdom. With several thousand datasets relating to society, both historical and contemporary, our Archive is a vital resource for researchers, teachers and learners. We are an internationally acknowledged centre of expertise in the areas of acquiring, curating and providing access to data. We are the lead partner in the UK Data Service (https://service.re3data.org/repository/r3d100010230) through which data users can browse collections online and register to analyse and download them. Open Data collections are available for anyone to use. The UK Data Archive is a Trusted Digital Repository (TDR) certified against the CoreTrustSeal (https://www.coretrustseal.org/) and certified against ISO27001 for Information Security (https://www.iso.org/isoiec-27001-information-security.html).
Cryo electron microscopy enables the determination of 3D structures of macromolecular complexes and cells from 2 to 100 Å resolution. EMDataResource is the unified global portal for one-stop deposition and retrieval of 3DEM density maps, atomic models and associated metadata, and is a joint effort among investigators of the Stanford/SLAC CryoEM Facility and the Research Collaboratory for Structural Bioinformatics (RCSB) at Rutgers, in collaboration with the EMDB team at the European Bioinformatics Institute. EMDataResource also serves as a resource for news, events, software tools, data standards, and validation methods for the 3DEM community. The major goal of the EMDataResource project in the current funding period is to work with the 3DEM community to (1) establish data-validation methods that can be used in the process of structure determination, (2) define the key indicators of a well-determined structure that should accompany every deposition, and (3) implement appropriate validation procedures for maps and map-derived models into a 3DEM validation pipeline.
DataON is Korea's National Research Data Platform. It provides integrated search of metadata for KISTI's research data and domestic and international research data and links to raw data. DataON allows users (researchers, policy makers, etc.) to perform the following tasks: Easily search for various types of research data in all scientific fields. By registering research results, research data can be posted and cited. Build a community among researchers and enable collaborative research. It provides a data analysis environment that allows one-stop analysis of discovered research data.
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.
The Radboud Data Repository (RDR) is an institutional repository for archiving and sharing of data collected, processed, or analyzed by researchers working at or affiliated with the Radboud University (Nijmegen, the Netherlands). The repository allows safe long-term (at least 10 years) storage of large datasets. The RDR promotes findability of datasets by providing a DOI and rich metadata fields and allows researchers to easily manage data access.
MycoBank is an on-line database aimed as a service to the mycological and scientific society by documenting mycological nomenclatural novelties (new names and combinations) and associated data, for example descriptions and illustrations. The nomenclatural novelties will each be allocated a unique MycoBank number that can be cited in the publication where the nomenclatural novelty is introduced. These numbers will also be used by the nomenclatural database Index Fungorum, with which MycoBank is associated.
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The eAtlas is a website, mapping system and set of data visualisation tools for presenting research data in an accessible form that promotes greater use of this information. The eAtlas will serve as the primary data and knowledge repository for all NERP Tropical Ecosystems Hub projects, which focus on the on the Great Barrier Reef, Wet Tropics rainforest and Torres Strait. The eAtlas will capture and record research outcomes and make them available to research-users in a timely, readily accessible manner. It will host meta-data records and provide an enduring repository for raw data. It will also develop and host web visualisations to view information using a simple and intuitive interface. This will assist scientists with data discovery and allow environmental managers to access and investigate research data.
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The ZFMK Biodiversity Data Center is aimed at hosting, archiving, publishing and distributing data from biodiversity research and zoological collections. The Biodiversity Data Center handles and curates data on: - The specimens of the institutes collection, including provenance, distribution, habitat, and taxonomic data. - Observations, recordings and measurements from field research, monitoring and ecological inventories. - Morphological measurements, descriptions on specimens, as well as - Genetic barcode libraries, and - Genetic and molecular research data associated with specimens or environmental samples. For this purpose, suitable software and hardware systems are operated and the required infrastructure is further developed. Core components of the software architecture are: The DiversityWorkbench suite for managing all collection-related information. The Digital Asset Management system easyDB for multimedia assets. The description database Morph·D·Base for morphological data sets and character matrices.
figshare allows researchers to publish all of their research outputs in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets. Optional peer review process. figshare uses creative commons licensing. figshare+ repository allows figshare users to share larger datasets, over 20GB up to many TBs, see: https://plus.figshare.com/