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Found 27 result(s)
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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.
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Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
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The Allen Brain Atlas provides a unique online public resource integrating extensive gene expression data, connectivity data and neuroanatomical information with powerful search and viewing tools for the adult and developing brain in mouse, human and non-human primate
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As with most biomedical databases, the first step is to identify relevant data from the research community. The Monarch Initiative is focused primarily on phenotype-related resources. We bring in data associated with those phenotypes so that our users can begin to make connections among other biological entities of interest. We import data from a variety of data sources. With many resources integrated into a single database, we can join across the various data sources to produce integrated views. We have started with the big players including ClinVar and OMIM, but are equally interested in boutique databases. You can learn more about the sources of data that populate our system from our data sources page https://monarchinitiative.org/about/sources.
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VirHostNet is a bioinformatic information system dedidacted to the biocuration, data integration, reproducible systems-level analysis and visualisation of Virus / Host protein-protein interactions Network based on graph theory. VirHostNet is an open and gold standard knowledgebase shared in PSI MITAB 2.5 format using the PSICQUIC webservice and distributed through the NDEx platform. VirHostNet is FAIR and is recognized as a COVID-19 ressource by Elixir bio.tools, the European Virus Bioinformatics Center and FAIRsharing.org.
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Citrination is the premier open database and analytics platform for the world's material and chemical information. Here you can find tabulated materials property data, that users have contributed or Citrine has automatically extracted from literature.
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The Lens is building an open platform for Innovation Cartography. Specifically, the Lens serves nearly all of the patent documents in the world as open, annotatable digital public goods that are integrated with scholarly and technical literature along with regulatory and business data.
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The Oxford COVID-19 Government Response Tracker (OxCGRT) systematically collects information on several different common policy responses that governments have taken to respond to the pandemic on 18 indicators such as school closures and travel restrictions. It now has data from more than 180 countries.
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The ZBW Journal Data Archive is a service for editors of journals in economics and management. The Journal Data Archive offers the possibility for journal authors of papers that contain empirical work, simulations or experimental work to store the data, programs, and other details of computations, to make these files publicly available and to support confirmability and replicability of their published research papers.
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The Media Archive of the Zurich University of the Arts is the platform for collaborative work, sharing and archiving of media at the ZHdK. It is available to students, lecturers, reserarchers and staff. The areas of application of the media archive are mainly focused on teaching and research, but the ZHdK departments archive and university communication also benefit. The media archive manages a wide range of visual and audiovisual content and supports collaborative forms of working. It serves as an instutional repository for research data management and as a platform for hybrid publications.
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The University of Tasmania Research Data Portal (RDP) enables UTAS researchers to securely store and publish their datasets. Datasets published in RDP are publicly available through the Research Data Australia Search Portal (https://researchdata.edu.au/).
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The GAVO data centre at Zentrum für Astronomie Heidelberg publishes astronomical data of all kinds – e.g., catalogues, images, spectra, time series, simulation results – in accordance with Virtual Observatory standards, making them findable and immediately usable through popular clients like TOPCAT, Aladin, or programatically through the astropy-affiliated package pyVO or the Java library STIL. We pay particular attention to providing thorough metadata to the VO Registry in order to facilitate discovery and reuse.
While we have a clear focus on data produced with German contributions, we will usually publish data of other provenance, too. See https://docs.g-vo.org/DaCHS/data_checklist.html for an overview of what resource-level metadata we ask for; contact us for further information on how to publish through the German Astronomical Virtual Observatory.
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GeneWeaver combines cross-species data and gene entity integration, scalable hierarchical analysis of user data with a community-built and curated data archive of gene sets and gene networks, and tools for data driven comparison of user-defined biological, behavioral and disease concepts. Gene Weaver allows users to integrate gene sets across species, tissue and experimental platform. It differs from conventional gene set over-representation analysis tools in that it allows users to evaluate intersections among all combinations of a collection of gene sets, including, but not limited to annotations to controlled vocabularies. There are numerous applications of this approach. Sets can be stored, shared and compared privately, among user defined groups of investigators, and across all users.
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BrainMaps.org, launched in May 2005, is an interactive multiresolution next-generation brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and that is integrated with a high-speed database for querying and retrieving data about brain structure and function over the internet.
Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, and Tyto alba.
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The European Union Open Data Portal is the single point of access to a growing range of data from the institutions and other bodies of the European Union (EU). Data are free for you to use and reuse for commercial or non-commercial purposes.
By providing easy and free access to data, the portal aims to promote their innovative use and unleash their economic potential. It also aims to help foster the transparency and the accountability of the institutions and other bodies of the EU.
The EU Open Data Portal is managed by the Publications Office of the European Union. Implementation of the EU's open data policy is the responsibility of the Directorate-General for Communications Networks, Content and Technology of the European Commission.
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<<<!!!<<< All user content from this site has been deleted. Visit SeedMeLab (https://seedmelab.org/) project as a new option for data hosting. >>>!!!>>>
SeedMe is a result of a decade of onerous experience in preparing and sharing visualization results from supercomputing simulations with many researchers at different geographic locations using different operating systems. It’s been a labor–intensive process, unsupported by useful tools and procedures for sharing information. SeedMe provides a secure and easy-to-use functionality for efficiently and conveniently sharing results that aims to create transformative impact across many scientific domains.
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This repository record is no longer valid.
<<<!!!<<< 2018-08-09: Please refer to the record that is titled "Research Data Archive at NCAR" instead https://www.re3data.org/repository/r3d100010050 . >>>!!!>>>
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This study assessed differences in avian biodiversity across different forest age-classes, including mature stands (> 100 years), in a managed, mixed-species eucalypt forest located in Gippsland, south-eastern Australia. Avian surveys and detailed habitat measurements were initially carried out in 50 two hectare stands ranging in age from 100 years. Extensive wildfire which occurred during the study reduced the number of sites to 28 (seven in each of four age classes) upon which analyses and inferences were made. Mature vegetation (> 100 years) had the greatest richness, abundance and biomass of birds. Key ecological resources, such as tree-hollows for nesting, generally occurred mostly in stands > 60 years. There were quantum increases in all measures of avian biodiversity in mature stands (> 100 years). The visualisation of the survey data is part of an interoperable web-GIS maintained by the Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia (FedUni).
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CSDMS is a virtual home for a vibrant and growing community of about 1,000 international modeling experts and students who study the dynamic interactions of lithosphere, hydrosphere, cryosphere, and atmosphere at Earth’s surface. Participating in cross-disciplinary groups, members develop integrated software modules that predict the movement of water, sediment, and nutrients across landscapes and into the ocean. We share an open library of models, software, and access to high-performance computing. We also share knowledge that helps create higher-resolution simulations, often involving higher complexity algorithms. Together, we support the discovery, use, and conservation of natural resources; mitigation of natural hazards; geotechnical support of commercial and infrastructure development; environmental stewardship; and terrestrial surveillance for global security.
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- Biochemistry
- General Genetics
- Neurosciences
- Chemistry
- Computer Science
- Engineering Sciences
- Materials Science
- Basic Biological and Medical Research
- Physics
- Artificial Intelligence, Image and Language Processing
- Social Sciences
- Biology
- Life Sciences
- Medicine
- Natural Sciences
- Computer Science, Electrical and System Engineering
- Materials Science and Engineering
- Social and Behavioural Sciences
- Humanities and Social Sciences
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IIT Dataverse is the institutional research data repository of the Istituto Italiano di Tecnologia. IIT Dataverse has been operative since May 2021 and is currently open to IIT-affiliated researchers for research data deposition and sharing.
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The Progenetix database provides an overview of copy number abnormalities in human cancer from currently 32548 array and chromosomal Comparative Genomic Hybridization (CGH) experiments, as well as Whole Genome or Whole Exome Sequencing (WGS, WES) studies. The cancer profile data in Progenetix was curated from 1031 articles and represents 366 different cancer types, according to the International classification of Diseases in Oncology (ICD-O).
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The Solar Dynamics Observatory (SDO) studies the solar atmosphere on small scales of space and time, in multiple wavelengths. This is a searchable database of all SDO data, including citizen scientist images, space weather and near real time data, and helioseismology data.
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This website is the public interface to the "Canadian Database of Geochemical Surveys". The database has two long-term goals. Firstly, it aims to catalogue all of the regional geochemical surveys that have been carried out across Canada, beginning in the 1950s. Secondly, it aims to make the raw data from those surveys available in a standardised format. Over 1,500 surveys have been catalogued. Approximately 500 are considered to be of long-term strategic value for mineral exploration and environmental baseline studies. Work is progressing on standardising the data for these 500 surveys. To date over 250 datasets have been converted.
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The INESC TEC data repository showcases datasets produced or used by INESC TEC researchers and their partners. The repository is organized in four groups (institutional clusters). Computer Science, Power and Energy, Network and Intelligent Systems and Power and Energy.
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Koszalin University of Technology is the only technical university in Central Pomerania. It is located in a town of 100 thousand inhabitants, about 10 km from the Baltic Sea. Central Pomerania is a region with well-developed tourism, agriculture, food-processing and electronics industries. Koszalin University
of Technology conducts teaching and scientific-research activities in disciplines related primarily to the directions of development of the region.
Koszalin University of Technology is authorized to confer doctoral degrees.
The doctoral degree is conferred by the Doctoral School operating at Koszalin University of Technology. It educates students on I st and II nd degree studies,
in stationary and non-stationary mode.
The Repository is to be used for collecting, storing (archiving), presenting (making available) and retrieving information on the scientific and popular scientific achievement of employees, doctoral students and students,
as well as on their professional achievements and activities that create
the university's output and shaping its image among other scientific institutions in the country and in the world.
- 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: 2024-05-16
