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Found 231 result(s)
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B2SHARE allows publishing research data and belonging metadata. It supports different research communities with specific metadata schemas. This server is provided for researchers of the Research Centre Juelich and related communities.
The Archaeological Map of the Czech Republic (AMCR) is a repository designed for information on archaeological investigations, sites and finds, operated by the Archaeological Institutes of the CAS in Prague and Brno. The archives of these institutions contain documentation of archaeological fieldwork on the territory of the Czech Republic from 1919 to the present day, and they continue to enrich their collections. The AMCR database and related documents form the largest collection of archaeological data concerning the Czech Republic and are therefore an important part of our cultural heritage. The AMCR digital archive contains various types of records - individual archaeological documents (texts, field photographs, aerial photographs, maps and plans, digital data), projects, fieldwork events, archaeological sites, records of individual finds and a library of 3D models. Data and descriptive information are continuously taken from the AMCR and presented in the the AMCR Digital Archive interface.
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Federation.figshare is a collaborative digital repository for Federation researchers, professional staff and Higher Degree by Research students to store, share and publish their digital files. It accepts all forms of digital research outputs including audio, video, PDF, images, code, datasets, presentations and more.
The Genomic Observatories Meta-Database (GEOME) is a web-based database that captures the who, what, where, and when of biological samples and associated genetic sequences. GEOME helps users with the following goals: ensure the metadata from your biological samples is findable, accessible, interoperable, and reusable; improve the quality of your data and comply with global data standards; and integrate with R, ease publication to NCBI's sequence read archive, and work with an associated LIMS. The initial use case for GEOME came from the Diversity of the Indo-Pacific Network (DIPnet) resource.
<<<!!!<<< checked 20.03.2017 SumsDB was offline; for more information and archive see http://brainvis.wustl.edu/sumsdb/ >>>!!!>>> SumsDB (the Surface Management System DataBase) is a repository of brain-mapping data (surfaces & volumes; structural & functional data) from many laboratories.
<<<!!!<<< the repository is offline >>>!!!>>> GOBASE is a taxonomically broad organelle genome database that organizes and integrates diverse data related to mitochondria and chloroplasts. GOBASE is currently expanding to include information on representative bacteria that are thought to be specifically related to the bacterial ancestors of mitochondria and chloroplasts
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The Mediterranean Germplasm Database (MGD) is the digital twin of the agri-food plant seed collection (Mediterranean Germplasm Genebank - MGG) maintained at the Institute of Biosciences and BioResources (IBBR) of the Italian National Research Council (CNR) in Bari, Italy. Overall, the collection preserves more than 59,000 accessions of 870 species from 203 genera and 39 families (mainly Poaceae, Fabaceae, Solanaceae, Brassicaceae, Asteraceae, etc.). Over 13,000 samples have been directly collected through time and georeferenced by IBBR exploration teams, while others have been acquired from other Institutions through exchange activities. The main objective of MGG is the preservation of genetic resources of herbaceous plants of interest for the Mediterranean agriculture. Particular attention is dedicated to specific segments of plant genetic resources, such as local varieties (including "typical products") or endangered agro-ecotypes, wild relatives of crops and plants potentially useful for the extraction of bioactive or biotechnological compounds. The main commitments of MGG since 1970 are: (i) the collection, conservation and distribution of PGR; (ii) the characterization and evaluation of PGRs and the analysis of their genetic structure; (ii) the selection and pre-breeding of PGR, and the recognition of useful genes.
<<<!!!<<< 2019-12-04: The repository is no longer available >>>!!!>>> Presented here are experimental ionization cross sections measured using the Electron-Ion Crossed Beams apparatus in the Multicharged Ion Research Facility (MIRF) at the Physics Division of Oak Ridge National Laboratory (ORNL). The data are given in both graphical and tabular form along with the reference to the original publication of the experimental results. Also presented in the figures are theoretical cross sections supporting the experiments.
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HAL is a multidisciplinary open archive that allows research results to be shared in open access, whether published or not. It is at the service of researchers affiliated with academic institutions, whether public or private. In France, HAL is the national archive chosen by the French scientific and academic community for the open dissemination of its research results. The archive is also accessible to researchers affiliated with foreign academic institutions, whether public or private.
Launchpad is a software collaboration platform that provides: Bug tracking, Code hosting using Bazaar, Code reviews Ubuntu package building and hosting, Translations, Mailing lists, Answer tracking and FAQs, Specification tracking. Launchpad can host your project’s source code using the Bazaar version control system
The Analytical Geomagnetic Data Center of the Trans-Regional INTERMAGNET Segment is operated by the Geophysical Center of the Russian Academy of Sciences (GC RAS). Geomagnetic data are transmitted from observatories and stations located in Russia and near-abroad countries. The Center also provides access to spaceborne data products. The MAGNUS hardware-software system underlies the operation of the Center. Its particular feature is the automated real-time recognition of artificial (anthropogenic) disturbances in incoming data. Being based on fuzzy logic approach, this quality control service facilitates the preparation of the definitive magnetograms from preliminary records carried out by data experts manually. The MAGNUS system also performs on-the-fly multi-criteria estimation of geomagnetic activity using several indicators and provides online tools for modeling electromagnetic parameters in the near-Earth space. The collected geomagnetic data are stored using relational database management system. The geomagnetic database is intended for storing both 1-minute and 1-second data. The results of anthropogenic and natural disturbance recognition are also stored in the database.
The Language Archive Cologne (LAC) is a research data repository for the linguistics and all humanities disciplines working with audiovisual data. The archive forms a cluster of the Data Center for Humanities in cooperation with the Institute of Linguistics of the University of Cologne. The LAC is an archive for language resources, which is freely available via a web-based access. In addition, concrete technical and methodological advice is offered in the research data cycle - from the collection of the data, their preparation and archiving, to publication and reuse.
Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows and are the foundation for reporting standardized results. The choice of such references —i.e., templates— and atlases is one relevant source of methodological variability across studies, which has recently been brought to attention as an important challenge to reproducibility in neuroscience. TemplateFlow is a publicly available framework for human and nonhuman brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to distribute their resources under FAIR —findable, accessible, interoperable, reusable— principles. TemplateFlow supports a multifaceted insight into brains across species, and enables multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species, thereby contributing to increasing the reliability of neuroimaging results.
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Open data allows the public to access the Region's data more easily and encourages innovation in the community.
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Plastics are widely used in our economy and each year, at least 350-400 million tons are being produced at a global level. Due to poor recycling and low circular use, tens of millions of tons accumulate annually in marine and terrestrial environments. While it has become obvious that micro and macroplastics contaminate our environments recent research has identified few bacteria and fungi actively degrading plastics by enzymatic reactions. In general these are promiscuous enzymes (hydrolases) acting on low crystaline and mostly low density polymers of PET, ester-based PUR and oligomers of PA. Notably today, no enzymes have been characterized on a biochemical level for polymeric and crystaline PE, ether-based PUR, PS, PVC, PP. While many publications report on plastic degradation often, no convincing biochemical data have been published. Therefore the PAZy database lists exclusively biochemically characterized plastic-active enzymes. Predicted and putative enzymes that were not characterized on a biochemical, functional or structural level are not included in the PAZy database. The entries are manually curated.
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The BAW is a research institute for the Federal Ministry of Transport and acts as an advisor to the federal government for issues of waterway engineering. In this role the BAW consumes and produces large volumes of data and information. As part of the implementation of Open Data legislation and in support of Open Data and Open Access principles, the BAW provides access to scientific data together with their metadata. The BAW-Datenrepository was developed as a point of access for hydraulic engineering experts, contractors and customers of the BAW as well as the general public. It is a source for quality-assured information and provides standardised, long-term access to waterway engineering data. The BAW-Datenrepository supports the targeted search for information and data and gives direct access to them. By publishing its scientific data, the BAW promotes transparency in public discourse as well as accountability of public administration enabling the data to create value beyond the BAW.
Digital Rocks is a data portal for fast storage and retrieval of images of varied porous micro-structures. It has the purpose of enhancing research resources for modeling/prediction of porous material properties in the fields of Petroleum, Civil and Environmental Engineering as well as Geology. This platform allows managing and preserving available images of porous materials and experiments performed on them, and any accompanying measurements (porosity, capillary pressure, permeability, electrical, NMR and elastic properties, etc.) required for both validation on modeling approaches and the upscaling and building of larger (hydro)geological models. Starting September 2021 we charge fees for publishing larger projects; projects < 2GB remain free: see user agreement https://www.digitalrocksportal.org/user-agreement/
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Macquarie University's Institutional Research Data Repository (RDR) allows researchers to upload, publish, search and download research data. The RDR promotes collaboration, data sharing and discovery amongst researchers globally according to FAIR data principles. The RDR is based on Figshare for Institutions, which has been specifically tailored to suit the needs of the Macquarie University research community.
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In 2018, the Ministry of Higher Education, Research and Innovation has included in its roadmap the creation of a new infrastructure called the National Biodiversity Data Centre (PNDB). The PNDB's missions are part of a FAIR (Easy to Find, Accessible, Interoperable, Reusable) approach, and consist in - providing access to datasets and metadata, associated services and products derived from the analyses - promoting scientific leadership to identify gaps and foster the emergence of community-driven systems of users and producers - facilitate the sharing of practices with other research communities, encourage the sharing of data and their reuse, and be part of the reflection on the future Earth System infrastructure. - promote coherence with national, European and international efforts concerning access to and use of biodiversity research data and the promotion of products and services. The PNDB is supported by the Muséum national d'Histoire naturelle, more specifically by the UMS 2006 PatriNat, a MNHN CNRS and AFB unit. The project is closely linked with the FRB and several of its founding institutions (AFB, BRGM, CIRAD, CNRS, Ifremer, INERIS, INRA, IRD, IRSTEA, MNHN, Univ. Montpellier).
ERDDAP is a data server that gives you a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. This particular ERDDAP installation has oceanographic data (for example, data from satellites and buoys).
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Open Data repository focused on dataset publication by INGV OE - Osservatorio Etneo. The Catania-Osservatorio Etneo Section is a public scientific institution of the National Institute of Geophysics and Volcanology (INGV) which carries out research, monitoring and surveillance activities in the fields of geophysics and volcanology.
UltraViolet is part of a suite of repositories at New York University that provide a home for research materials, operated as a partnership of the Division of Libraries and NYU IT's Research and Instruction Technology. UltraViolet provides faculty, students, and researchers within our university community with a place to deposit scholarly materials for open access and long-term preservation. UltraViolet also houses some NYU Libraries collections, including proprietary data collections.
The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) data archive serves Earth and environmental science data. ESS-DIVE is funded by the Data Management program within the Climate and Environmental Science Division under the DOE’s Office of Biological and Environmental Research program (BER), and is maintained by the Lawrence Berkeley National Laboratory. ESS-DIVE will archive and publicly share data obtained from observational, experimental, and modeling research that is funded by the DOE’s Office of Science under its Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) programs within the Environmental Systems Science (ESS) activity. ESS-DIVE was launched in July 2017, and is designed to provide long-term stewardship and use of data from observational, experimental and modeling activities in the DOE in the Subsurface Biogeochemical Research (SBR) and Terrestrial Ecosystem Science (TES) Programs in the Environmental System Science (ESS) activity.