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Found 257 result(s)
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CLARIN-LV is a national node of Clarin ERIC (Common Language Resources and Technology Infrastructure). The mission of the repository is to ensure the availability and long term preservation of language resources. The data stored in the repository are being actively used and cited in scientific publications.
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The ASEP Data Repository is an institutional multidisciplinary on-line repository that stores scientific outputs - bibliographic records, full texts and datasets of the institutional authors from The Czech Academy of Sciences. The repository is hosted by Library of the Czech Academy of Sciences. Data that are stored in database are accessible in the on-line catalogue. Each dataset has its own description and metadata according to international standards.
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The CLARIN Centre at the University of Copenhagen, Denmark, hosts and manages a data repository (CLARIN-DK-UCPH Repository), which is part of a research infrastructure for humanities and social sciences financed by the University of Copenhagen.
The CLARIN-DK-UCPH Repository provides easy and sustainable access for scholars in the humanities and social sciences to digital language data (in written, spoken, video or multimodal form) and provides advanced tools for discovering, exploring, exploiting, annotating, and analyzing data. CLARIN-DK also shares knowledge on Danish language technology and resources and is the Danish node in the European Research Infrastructure Consortium, CLARIN ERIC.
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The NCEAS Data Repository contains information about the research data sets collected and collated as part of NCEAS' funded activities. Information in the NCEAS Data Repository is concurrently available through the Knowledge Network for Biocomplexity (KNB), an international data repository. A number of the data sets were synthesized from multiple data sources that originated from the efforts of many contributors, while others originated from a single.
Datasets can be found at KNB repository https://knb.ecoinformatics.org/data , creator=NCEAS
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LINDAT/CLARIN is designed as a Czech “node” of Clarin ERIC (Common Language
Resources and Technology Infrastructure). It also supports the goals of the META-NET language technology network. Both networks aim at collection, annotation, development and free sharing of language data and basic technologies between institutions and individuals both in science and in all types of research. The Clarin ERIC infrastructural project is more focused on humanities, while META-NET aims at the development of language technologies and applications. The data stored in the repository are already being used in scientific publications in the Czech Republic.
In 2019 LINDAT/CLARIAH-CZ was established as a unification of two research infrastructures,
LINDAT/CLARIN and DARIAH-CZ.
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NASA's Prognostics Center of Excellence hosts the Prognostics Data Repository to provide data used in the development of prognostic algorithms, and time series of nominal to failed states. Data are donated from universities, agencies, or companies on an ongoing process.
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The SURF Data Repository is a user-friendly web-based data publication platform that allows researchers to store, annotate and publish research datasets of any size to ensure long-term preservation and availability of their data. The service allows any dataset to be stored, independent of volume, number of files and structure. A published dataset is enriched with complex metadata, unique identifiers are added and the data is preserved for an agreed-upon period of time. The service is domain-agnostic and supports multiple communities with different policy and metadata requirements.
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Maenduar in Tupi means "to remember". The Maenduar repository, created by LARHUD is an institutional repository (IBICT) dedicated to research data in Digital Humanities and Humanities. The repository encompasses the production of LARHUD members and partners and extends to the public space as a public deposit repository.
Researchers, professors, students linked to any institutions will be able to deposit their research data, understanding that Maenduar becomes, from this action, a public, national repository, dedicated to the production of knowledge in the Humanities in the face of the development of digital culture in all areas of the world. social world.
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ICARUS is an open access, searchable, web-based infrastructure for storing, sharing, and utilizing atmospheric simulation chamber data. Atmospheric simulation chambers (sometimes called "smog chambers", environmental chambers, flow tubes, and continuously stirred reactors) are indispensable tools for atmospheric chemistry and physics research. The fundamental kinetic, mechanistic, or physical results from atmospheric chambers integrate into chemical transport models and inform scientific decision making. The data available in ICARUS are highly curated, uniform, and freely available to researchers, policy makers, and the general public worldwide.
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Research data from University of Pretoria. This data repository facilitates data publishing, sharing and collaboration of academic research, allowing UP to manage and in some cases showcase its data to the wider research community.
Previously UPSpace (https://repository.up.ac.za/) was used for both datasets and research outputs. Now UP Research Data Repository is dedicated for datasets.
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<<<!!!<<< 2019-05-15: the repository is offline >>>!!!>>>
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The ord.fkp.jku.at portal offers a Data Repository of the JKUs Magnetic Oxides Group and provides access to the latest research data of the Magnetic Oxide research group of the Johannes Kepler University in Linz, Austria. The Repository contains Datasets in the following research areas: Dilute magnetic semiconductors and oxides, Ferromagnetic thin films and nanoparticles, X-ray absorption spectroscopy, Element-selective structure and magnetism, Functional heterostructures and interfaces, and Frequency-dependent magnetic resonance.
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DOOR is the open institutional repository of the University for Continuing Education Krems, formerly known as Danube University Krems. DOOR runs on the fedora Software and is a partner repository of Phaidra Vienna and other fedora users in Austria. We provide access to OA publications, scientific data and much more for interested users and support our scientists and co-workers in their publication processis.
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The AMUReD Institutional Research Data Repository of the Adam Mickiewicz University in Poznan (UAM) collects and provides access to digital versions of research data collected, processed or produced as part of the scientific research or developmental work of UAM employees.The AMUReD Repository is part of the AMU Research Portal, with University Library in Poznan as the operating unit.
Depositing data is possible after logging into the AMU Research Portal, according to the attached instructions.
The AMUReD repository is open, and research data are made available in three models: open (Open Access), embargo (Embargo) and closed (Restricted Access).
The detailed rules of the AMUReD repository are defined in the Regulations.
The AMUReD repository complies with the FAIR Principles.
Each dataset is given a unique DOI identifier.
The AMUReD repository complies with the FAIR Principles.
Each dataset is given a unique DOI identifier. The prefix for DOIs is doi:10.60629.
It is possible to choose a Creative Commons license for shared datasets.
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The Deep Blue Data repository is a means for University of Michigan researchers to make their research data openly accessible to anyone in the world, provided they meet collections criteria. Submitted data sets undergo a curation review by librarians to support discovery, understanding, and reuse of the data.
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The IMSR is a searchable online database of mouse strains, stocks, and mutant ES cell lines available worldwide, including inbred, mutant, and genetically engineered strains. The goal of the IMSR is to assist the international scientific community in locating and obtaining mouse resources for research. Note that the data content found in the IMSR is as supplied by strain repository holders.
For each strain or cell line listed in the IMSR, users can obtain information about:
Where that resource is available (Repository Site); What state(s) the resource is available as (e.g. live, cryopreserved embryo or germplasm, ES cells); Links to descriptive information about a strain or ES cell line; Links to mutant alleles carried by a strain or ES cell line; Links for ordering a strain or ES cell line from a Repository; Links for contacting the Repository to send a query
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Open access repository for digital research created at the University of Minnesota. U of M researchers may deposit data to the Libraries’ Data Repository for U of M (DRUM), subject to our collection policies. All data is publicly accessible. Data sets submitted to the Data Repository are reviewed by data curation staff to ensure that data is in a format and structure that best facilitates long-term access, discovery, and reuse.
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Macromolecular Xtallography Raw Data Repository (MX-RDR) is a domain-specific digital repository of crystallographic open research data. The use of Repository is open for everyone.
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This data repository allows users to publish animal tracking datasets that have been uploaded to Movebank (https://www.movebank.org/ ). Published datasets have gone through a submission and review process, and are typically associated with a written study published in an academic journal. All animal tracking data in this repository are available to the public.
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The public MorpheusML model repository collects, curates, documents and tests computational models for multi-scale and multicellular biological systems. Model must be encoded in the model description language MorpheusML. Subsections of the repository distinguish published models from contributed non-published and example models. New models are simulated in Morpheus or Artistoo independently from the authors and results are compared to published results. Successful reproduction is documented on the model's webpage. Models in this repository are included into the CI and test pipelines for each release of the model simulator Morpheus to check and guarantee reproducibility of results across future simulator updates. The model’s webpage provides a History-link to all past model versions and edits that are automatically tracked via Git. Each model is registered with a unique and persistent ID of the format M..... The model description page (incl. the biological context and key results of that model), the model’s XML file, the associated paper, and all further files (often simulation result videos) connected with that model can be retrieved via a persistent URL of the format https://identifiers.org/morpheus/M.....
- for technical details on the citable ModelID please see https://registry.identifiers.org/registry/morpheus
- for the model definition standard MorpheusML please see https://doi.org/10.25504/FAIRsharing.78b6a6
- for the model simulator Morpheus please see https://morpheus.gitlab.io
- for the model simulator Artistoo please see https://artistoo.net/converter.html
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The Yeast Resource Center Public Image Repository is a database of fluorescent microscopy images and their associated metadata/experimental parameters. The images depict the localization, co-localization and FRET (fluorescence energy transfer) of proteins in cells, particularly in the budding yeast Saccharomyces cerevisiae as a model organism. Users may download the entire datasets to improve their research.
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A machine learning data repository with interactive visual analytic techniques. This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. State-of-the-art statistical techniques are combined with real-time data visualization giving the ability for researchers to seamlessly find, explore, understand, and discover key insights in a large number of public donated data sets. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.
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QSAR DataBank (QsarDB) is repository for (Quantitative) Structure-Activity Relationships ((Q)SAR) data and models. It also provides open domain-specific digital data exchange standards and associated tools that enable research groups, project teams and institutions to share and represent predictive in silico models.
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Chemotion-repository is a repository for the publication, re-use and archiving of research data in the domain of chemistry. It is suitable for molecules, reactions, and associated data. It stores original data in diverse file-formats including standard file types and as well as descriptions, metadata, and ontologies. The repository is open to all researchers worldwide.
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The GSA Data Repository is an open file in which authors of articles in our journals can place information that supplements and expands on their article. These supplements will not appear in print but may be obtained from GSA.
- 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.
-
Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
.
- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-18
