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Found 26 result(s)
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<<<!!!<<<The repository is no longer available. The printversion see: https://www.taylorfrancis.com/books/mono/10.1201/9781003220435/encyclopedia-astronomy-astrophysics-murdin >>>!!!>>> This unique resource covers the entire field of astronomy and astrophysics and this online version includes the full text of over 2,750 articles, plus sophisticated search and retrieval functionality, links to the primary literature, and is frequently updated with new material. An active editorial team, headed by the Encyclopedia's editor-in-chief, Paul Murdin, oversees the continual commissioning, reviewing and loading of new and revised content.In a unique collaboration, Nature Publishing Group and Institute of Physics Publishing published the most extensive and comprehensive reference work in astronomy and astrophysics in both print and online formats. First published as a four volume print edition in 2001, the initial Web version went live in 2002, and contained the original print material and was rapidly supplemented with numerous updates and newly commissioned material. Since July 2006 the Encyclopedia is published solely by Taylor & Francis.
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KiMoSys, a web application for quantitative KInetic MOdels of biological SYStems. Kinetic models, with the aim to understand and subsequently design the metabolism of organism of interest are constructed iteratively and require accurate experimental data for both the generation and verification of hypotheses. Therefore, there is a growing requirement for exchanging experimental data and models between the systems biology community, and to automate as much as possible the kinetic model building, editing, simulation and analysis steps.
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The edoc-Server, start 1998, is the Institutional Repository of the Humboldt-Universität zu Berlin and offers the posibility of text- and data-publications. Every item is published for Open-Access with an optional embargo period of up to five years. Data publications since 01.01.2018.
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OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. OMIM is authored and edited at the McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, under the direction of Dr. Ada Hamosh. Its official home is omim.org.
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Within WASCAL a large number of heterogeneous data are collected. These data are mainly coming from different initiated research activities within WASCAL (Core Research Program, Graduate School Program) from the hydrological-meteorological, remote sensing, biodiversity and socio economic observation networks within WASCAL, and from the activities of the WASCAL Competence Center in Ouagadougou, Burkina-Faso.
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The project brings together national key players providing environmentally related biological data and services to develop the ‘German Federation for Biological Data' (GFBio). The overall goal is to provide a sustainable, service oriented, national data infrastructure facilitating data sharing and stimulating data intensive science in the fields of biological and environmental research.
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This database contains individual-based life history data that have been collected from wild primate populations by nine working group participants over a minimum of 19 years.
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BioInvestigation Index database enables storing and querying functionalities of experimental biological and biomedical metadata of Leibniz Institute of Plant Biochemistry
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ScienceBase provides access to aggregated information derived from many data and information domains, including feeds from existing data systems, metadata catalogs, and scientists contributing new and original content. ScienceBase architecture is designed to help science teams and data practitioners centralize their data and information resources to create a foundation needed for their work. ScienceBase, both original software and engineered components, is released as an open source project to promote involvement from the larger scientific programming community both inside and outside the USGS.
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Enlighten: research data is the institutional repository for research data of the University of Glasgow. As part of the CERIF 4 Datasets (C4D) project the University is exploring an extension of the CERIF standard. We have trialled methods of recording information about datasets to make them more visible, retrievable and usable.
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FlowRepository is a web-based application accessible from a web browser that serves as an online database of flow cytometry experiments where users can query and download data collected and annotated according to the MIFlowCyt standard. It is primarily used as a data deposition place for experimental findings published in peer-reviewed journals in the flow cytometry field. FlowRepository is funded by the International Society for Advancement of Cytometry (ISAC) and powered by the Cytobank engine specifically extended for the purposes of this repository. FlowRepository has been developed by forking and extending Cytobank in 2011.
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<odesi> is a digital repository for social science data, including polling data. Data collections are: Statistics Canada, Canadian Gallup Polls, CORA - Canadian Opinion Research Archive, ICPSR - Interuniversity Consortium for Political and Social Research.
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The long term goal of the Software Heritage initiative is to collect all publicly available software in source code form together with its development history, replicate it massively to ensure its preservation, and share it with everyone who needs it. The Software Heritage archive is growing over time as we crawl new source code from software projects and development forges.
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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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All observations obtained with the Parkes radio telescope are made available to the general community after an embargo period. Usually this embargo period is set to 18 months after the observation. The catalogue includes all published rotation-powered pulsars, including those detected only at high energies. It also includes Anomalous X-ray Pulsars (AXPs) and Soft Gamma-ray Repeaters (SGRs) for which coherent pulsations have been detected. However, it excludes accretion-powered pulsars such as Her X-1 and the recently discovered X-ray millisecond pulsars.
ATNF Pulsar catalogue contains information on all published pulsars, with complete bibliographic information. For professional astronomers, a more detailed "Expert" web interface is available allowing access to parameters of specialist interest. The catalogue can also be accessed using a command-line interface on unix or linux systems.
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Apollo (previously DSpace@Cambridge) is the University of Cambridge’s Institutional Repository (IR), preserving and providing access to content created by members of the University. The repository stores a range of content and provides different levels of access, but its primary focus is on providing open access to the University’s research publications.
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The CERN Open Data portal is the access point to a growing range of data produced through the research performed at CERN. It disseminates the preserved output from various research activities, including accompanying software and documentation which is needed to understand and analyze the data being shared.
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Thai National Research Repository (TNRR) is a central database of science, research, and innovation of Thailand managed by the National Research Council of Thailand (NRCT) under the Ministry of Higher Education, Science, Research and Innovation (MHESI) Act B.E. 2562 (2019). The TNRR system serves and disseminates an extensive collection of information to the public as open access to research and innovation knowledge. The goal is to be the system that provides information services on Thailand's research findings. This information is collected from academic institutes and information-oriented government agencies in Thailand. In other words, the data in the TNRR system is accumulated from 3 national databases including 1. National Research Innovation and Information System (NRIIS), 2. Research agencies within Thailand’s research and innovation ecosystem that have agreed to share their data; including research projects, research results, bodies of knowledge, theses, as well as various inventions and innovations; and 3. Other related databases of agencies that have shared their data for audit purposes and to improve the operation of the central database, such as the Department of Provincial Administration, the Department of Intellectual Property, and the Department of Business Development, etc.
Thai National Research Repository (TNRR) also provides open data of research findings via API which can be accessed at https://tnrr.nriis.go.th/#/service/opendata and https://opendata.nrct.go.th/en/
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The most comprehensive database on fully determined inorganic crystal structures
• Full structural data: cell parameters, atom positions for all entries, displacement parameters
• Full bibliographic data: publication title, journal reference(s), author names
• Full structure description: Structural formula, compositions, ANX formulae, structure types
• High-quality data: extensive data evaluation and correction by senior experts
• Web and PC based software solutions, data updated twice a year
• 25+ years of serving the scientific community
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The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana . Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from our data pages to other Arabidopsis resources.
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<<<!!!<<< Efforts to obtain renewed funding after 2008 were unfortunately not successful. PANDIT has therefore been frozen since November 2008, and its data are not updated since September 2005 when version 17.0 was released (corresponding to Pfam 17.0). The existing data and website remain available from these pages, and should remain stable and, we hope, useful. >>>!!!>>> PANDIT is a collection of multiple sequence alignments and phylogenetic trees. It contains corresponding amino acid and nucleotide sequence alignments, with trees inferred from each alignment. PANDIT is based on the Pfam database (Protein families database of alignments and HMMs), and includes the seed amino acid alignments of most families in the Pfam-A database. DNA sequences for as many members of each family as possible are extracted from the EMBL Nucleotide Sequence Database and aligned according to the amino acid alignment. PANDIT also contains a further copy of the amino acid alignments, restricted to the sequences for which DNA sequences were found.
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The UK Data Service is a national data service funded by the ESRC to provide research access to the UK’s largest collection of social, economic and population data including UK government-sponsored surveys, cross-national surveys, longitudinal studies, UK census data, international aggregate, business data, and qualitative data.
Designed to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, business consultants and analysts, communities and the commercial sector, the UK Data Service provides access to high-quality social and economic data; support for policy-relevant research; guidance and training for the development of skills in data use, and the development of best practice in digital preservation and sharing.
Data users can browse collections online and register to analyse and download them. Open Data collections are available for anyone to use.
Key partners include JISC, the University of Manchester, University of Southampton, University of Leeds, University of Edinburgh and University College London (UCL). The lead partner is the UK Data Archive (https://service.re3data.org/repository/r3d100010215) based at the University of Essex, a Trusted Digital Repository (TDR) certified against the CoreTrustSeal (https://www.coretrustseal.org/) and certified against ISO27001 for Information Security (https://www.iso.org/standard/27001).
The UK Data Service replaces the earlier ESRC investments of the Economic and Social Data Service (ESDS), the Secure Data Service (SDS), the Survey Question Bank and elements of the ESRC Census Programme.
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- Plant Sciences
- Zoology
- Chemistry
- Physics
- Soil Sciences
- Basic Forest Research
- Oceanography
- Atmospheric Science
- Geochemistry, Mineralogy and Crystallography
- Geography
- Water Research
- Natural Sciences
- Humanities and Social Sciences
- Biology
- Life Sciences
- Agriculture, Forestry, Horticulture and Veterinary Medicine
- Agriculture, Forestry, Horticulture and Veterinary Medicine
- Atmospheric Science and Oceanography
- Geosciences (including Geography)
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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.
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The SuiteSparse Matrix Collection is a large and actively growing set of sparse matrices that arise in real applications. The Collection is widely used by the numerical linear algebra community for the development and performance evaluation of sparse matrix algorithms. It allows for robust and repeatable experiments. Its matrices cover a wide spectrum of domains, include those arising from problems with underlying 2D or 3D geometry (as structural engineering, computational fluid dynamics, model reduction, electromagnetics, semiconductor devices, thermodynamics, materials, acoustics, computer graphics/vision, robotics/kinematics, and other discretizations) and those that typically do not have such geometry (optimization, circuit simulation, economic and financial modeling, theoretical and quantum chemistry, chemical process simulation, mathematics and statistics, power networks, and other networks and graphs.
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KEGG is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies
- 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
