Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
Found 174 result(s)
Content type(s)
Country
EaSy Data (for Earth System Data) is the French data repository for the environmental domain. It allows researchers in the Environmental and Earth sciences to publish their data and obtain a DOI. Submissions must comply with the scope defined by the communities. Data are moderated by community scientists before validation. Metadata are based on community standards (ISO 19115) and are exposed via standard API (CSW and OGC API)
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data, to ensure its preservation And facilitate their access and reuse. e-cienciaDatos is structured as a system constituted by different communities that collects datasets of each of the individual universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.
The Research Data Repository is the University of Essex's online data repository where research data resulting from research taking place within the university can be deposited, published and made accessible to the research community.
<<<!!!<<< In November 2023 the Donders Repository was merged with the Radboud Data Repository: https://www.re3data.org/repository/r3d100013607. Researchers should now use the RDR at https://data.ru.nl instead of the Donders Repository (https://data.donders.ru.nl). All datasets of the Donders Repository are findable on the web portal of the RDR, and the Donders Repository URLs redirect to the RDR web portal. >>>!!!>>> The repository of the Donders Institute for Brain, Cognition and Behaviour at the Radboud University was used to manage, share and publish neuroscience and neuroimaging data, including MRI, EEG, MEG and other types of research data.
Country
DBT is the institutional repository of the FSU Jena, the TU Ilmenau and the University of Erfurt as well as members of the other Thuringian universities and colleges can publish scientific documents in the DBT. In individual cases, land users (via the ThULB Jena) can also archive documents in the DBT.
Country
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.
Country
The JACQ System is a combined metadata and digital images platform and repository that contains data from botanical object collections.
Country
RADAR4KIT enables KIT researchers to manage, archive, share in project teams and publish their research data in a repository. It allows users to compile research data from completed scientific studies and projects into data packages, describe them with metadata, store them permanently and archive them or make them publicly accessible if required. Published data are given a persistent identifier (DOI) and can thus be found internationally and are also referenced in KITopen. The operator is the Karlsruhe Institute of Technology (KIT). RADAR4KIT is based on the RADAR service offered by FIZ Karlsruhe. The data is stored exclusively on the KIT IT infrastructure at the Steinbuch Centre for Computing (SCC).
The NF Data Portal is designed to help openly explore and share NF datasets, analysis tools, resources, and publications related to neurofibromatosis. Anyone can join the NF Open Science Initiative (NF-OSI) to participate! We welcome contributions from anyone in the neurofibromatosis and schwannomatosis research community, such as original datasets generated by the community or analyses of data from the NF Data Portal.
<<<!!!<<< Stated 2019-10-30: Dash is no longer available. Researchers are advised to store their research data at Dryad https://www.re3data.org/repository/r3d100000044 >>>!!!>>> Dash is an open data publication platform for upload, access, and re-use of research data. Submissions to Dash may be from researchers at participating UC campuses, researchers in earth science and ecology (DataONE), and researchers submitting to the UC Press journals Elementa and Collabra. Self-service depositing of research data through Dash fulfills publisher, funder, and data management plan requirements regarding data sharing and preservation. When researchers publish their datasets through Dash, their datasets are issued a DOI (DataCite) to optimize citability, and are publicly available for download and re-use under a CC BY 4.0 or CC-0 license. Deposited data are preserved in Merritt, California Digital Library’s preservation repository.
Country
SLGO is positioning itself as being the most complete and diversified source of scientific data regarding the St. Lawrence's ecosystem. It has done so by clustering and sharing information, data, and expertise from government, academic, and community agencies. SLGO offers a range of products such as data visualization applications, data management tools, and modeling products able to meet information needs for domains such as public safety, climate change, resource management, and biodiversity conservation. Available at SLGO.ca: observations, forecasts, predictions, and data archives
California Digital Library (CDL) seeks to be a catalyst for deeply collaborative solutions providing a rich, intuitive and seamless environment for publishing, sharing and preserving our scholars’ increasingly diverse outputs, as well as for acquiring and accessing information critical to the University of California’s scholarly enterprise. University of California Curation Center (UC3) is the digital curation program within CDL. The mission of UC3 is to provide transformative preservation, curation, and research data management systems, services, and initiatives that sustain and promote open scholarship.
Aston Data Explorer is Aston University's repository for our research datasets. It is one of three services providing information about Aston University’s research. Aston Publications Explorer holds Aston's Open Access publications and Aston Research Explorer has broader information about Aston's research work including research staff, awards and activities, projects and research groups.
Country
DRO is Deakin University's research repository, providing digital curation by describing and preserving the University's research output and enabling worldwide discovery.
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.
The University of Guelph Research Data Repositories provide long-term stewardship of research data created at or in cooperation with the University of Guelph. The Data Repositories are guided by the FAIR Guiding Principles for scientific data management and stewardship which aim to improve the Findability, Accessibility, Interoperability and Reuse of research data. The Data Repositories is composed of two main collections: the Agri-environmental Research Data collection which houses agricultural and environmental research data, and the Cross-disciplinary Research Data collection which houses all other disciplinary research data.
Country
Phaidra is the Institutional Repository and Digital Asset Management System of the St. Pölten University of Applied Sciences. The researchers and students at the University can use it to secure and archive their digital objects such as data, Open Access Publications and dissertations long-term as well as make them widely available to the public. Phaidra provides access to the objects using metadata in English and German. The Repository plays an important part in knowledge transfer in Austria and worldwide.
Country
<<<!!!<<< This repository is no longer available. >>>!!!>>> This page is not longer active, please use www.marine-data.de instead. Our data portal data.awi.de offers an integrative one-stop shop framework for discovering AWI research platforms including devices and sensors, tracklines, field reports, peer-reviewed publications, GIS products and mostly important data and data products archived in PANGAEA.
The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable. ISRCTN supports transparency in clinical research, helps reduce selective reporting of results and ensures an unbiased and complete evidence base. ISRCTN accepts all studies involving human subjects or populations with outcome measures assessing effects on human health and well-being, including studies in healthcare, social care, education, workplace safety and economic development.
Sinmin contains texts of different genres and styles of the modern and old Sinhala language. The main sources of electronic copies of texts for the corpus are online Sinhala newspapers, online Sinhala news sites, Sinhala school textbooks available in online, online Sinhala magazines, Sinhala Wikipedia, Sinhala fictions available in online, Mahawansa, Sinhala Blogs, Sinhala subtitles and Sri lankan gazette.
Country
Etsin is a research data finder that contains descriptive information – that is, metadata – on research datasets. In the service you can search and find data from various fields of research. A researcher, research group or organisation can use Etsin to publish information on their datasets and offer them for wider use. The metadata contained in Etsin makes it easy for anyone to discover the datasets. Etsin assigns a permanent URN identifier to datasets, making it possible to link to the dataset and gather merit through its publication and use. The metadata enables users to search for datasets and evaluate the potential for reuse. Etsin includes a description of the dataset, keywords and various dataset identifiers. The dataset information includes, for example, its subject, language, author, owner and how it is licensed for reuse. Good description of data plays an important role in its discoverability and visibility. Etsin encourages comprehensive descriptions by adapting a common set of discipline independent metadata fields and by making it easy to enter metadata. Etsin only collects metadata on datasets, not the data themselves. Anyone may browse and read the metadata. Etsin can be used with a browser or through an open interface (API). The service is discipline independent and free to use. Etsin is a service provided by the Ministry of Education and Culture to actors in the Finnish research system. The service is produced by CSC – IT Center for Science (CSC). Customer service contacts and feedback is available through servicedesk@csc.fi. The service maintenance window is on the fourth Monday of every month between 4 and 6 PM (EET). During that time, the service will be out of use.
Country
The GeoSphere Austria Data Hub is a national data repository that provides high-quality data from the fields of weather, climate, environment, and geophysics from GeoSphere Austria and other Austrian research-performing organizations. The datasets are described with rich metadata and can be accessed via different data access services (API, bulk download, THREDDS data service). By offering high-quality data the GeoSphere Austria Data Hub aims to promote FAIR and open research and encourage innovation by making data easily accessible across different disciplines.
Country
The nature of the ‘Bridge of Data’ project is to design and build a platform that allows collecting, searching, analyzing and sharing open research data and to provide it with unique data collected from the three most important Pomeranian universities: Gdańsk University of Technology, Medical University of Gdańsk and the University of Gdańsk. These data will be made available free of charge to the scientific community, entrepreneurs and the public. A bridge will be built to allow reuse of Open Research Data. The available research data will be described by standards developed by dedicated, experienced scientific teams. The metadata will allow other external computer systems to interpret the collected data. ORD descriptions will also include data reuse or reduction scenarios to facilitate further processing.