Open data portal for searching and downloading public datasets.
The University of Pittsburgh English Language Institute Corpus (PELIC) is a large learner corpus of written and spoken texts. The texts were collected in an English for Academic Purposes context over seven years in the University of Pittsburgh's Intensive English Program. The corpus is longitudinal, and its public dataset is available in a GitHub repository.
Find and access history research data, with indexed image.
Academic Commons is a repository providing global access to research and scholarship produced at Columbia University and its affiliate institutions. It lets visitors explore shared contributions and allows members of the Columbia community to upload research to make it more discoverable and accessible. The site reports totals including 52,603 works, 23,287 articles, 6,992 reports, 10,498 doctoral theses and 688 datasets.
GEUS Dataverse is an open data repository where scientists from the Geological Survey of Denmark and Greenland share and preserve data. Anyone can search and download datasets, while adding new datasets requires a GEUS affiliation and sign-up with a GEUS email. Visitors can browse programme areas or search by keywords, authors and more.
Fordatis is the research data repository of the Fraunhofer-Gesellschaft. It hosts research publications and datasets from Fraunhofer institutes and Fraunhofer associations, with content searchable by institute, document type, publication date, author, title, and language, and available in German and English. Recent publications include works on RF spectrogram datasets for deep learning, motion-aware speed estimation, and 3D instance segmentation benchmarks.
ITINERIS HUB is a single access point to data, facilities, analytical tools and services from Italian environmental Research Infrastructures. It includes a metadata catalogue, geospatial metadata hub, access platform, virtual research environments, training resources, datasets and a terminology service. Resources are described as freely accessible under FAIR and open science principles.
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The University of Pittsburgh English Language Institute Corpus (PELIC) is a large learner corpus of written and spoken texts. The texts were collected in an English for Academic Purposes context over seven years in the University of Pittsburgh's Intensive English Program. The corpus is longitudinal, and its public dataset is available in a GitHub repository.
Find and access history research data, with indexed image.
Academic Commons is a repository providing global access to research and scholarship produced at Columbia University and its affiliate institutions. It lets visitors explore shared contributions and allows members of the Columbia community to upload research to make it more discoverable and accessible. The site reports totals including 52,603 works, 23,287 articles, 6,992 reports, 10,498 doctoral theses and 688 datasets.
GEUS Dataverse is an open data repository where scientists from the Geological Survey of Denmark and Greenland share and preserve data. Anyone can search and download datasets, while adding new datasets requires a GEUS affiliation and sign-up with a GEUS email. Visitors can browse programme areas or search by keywords, authors and more.
Fordatis is the research data repository of the Fraunhofer-Gesellschaft. It hosts research publications and datasets from Fraunhofer institutes and Fraunhofer associations, with content searchable by institute, document type, publication date, author, title, and language, and available in German and English. Recent publications include works on RF spectrogram datasets for deep learning, motion-aware speed estimation, and 3D instance segmentation benchmarks.
ITINERIS HUB is a single access point to data, facilities, analytical tools and services from Italian environmental Research Infrastructures. It includes a metadata catalogue, geospatial metadata hub, access platform, virtual research environments, training resources, datasets and a terminology service. Resources are described as freely accessible under FAIR and open science principles.
