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Found 13 result(s)
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DABAR (Digital Academic Archives and Repositories) is the key component of the Croatian e-infrastructure’s data layer. It provides technological solutions that facilitate maintenance of higher education and science institutions' digital assets, i.e., various digital objects produced by the institutions and their employees.
The AOML Environmental Data Server (ENVIDS) provides interactive, on-line access to various oceanographic and atmospheric datasets residing at AOML. The in-house datasets include Atlantic Expendable Bathythermograph (XBT), Global Lagrangian Drifting Buoy, Hurricane Flight Level, and Atlantic Hurricane Tracks (North Atlantic Best Track and Synoptic). Other available datasets include Pacific Conductivitiy/Temperature/Depth Recorder (CTD) and World Ocean Atlas 1998.
The Museum is committed to open access and open science, and has launched the Data Portal to make its research and collections datasets available online. It allows anyone to explore, download and reuse the data for their own research. Our natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. These datasets will increase exponentially. Under the Museum's ambitious digital collections programme we aim to have 20 million specimens digitised in the next five years.
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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.
Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know beforehand which technique or analyst will be most effective.
The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.
Country
Policy-relevant observational studies for population health equity and responsible development. High-quality statistical information adult and children's health from the UN's Demographic and Health Surveys (DHS) program and UNICEF's Multiple Indicator Cluster Surveys (MICS). These datasets contain longitudinal information dating back to 1995 or 1999 for a series of social policies in up to 193 UN countries. DHS data variables include fertility, family planning and nutritional status for women aged 15-49 and young children, as well as demographic information on household structure, employment, education, wealth, and place of residence. MICS data includes information on nutritional status and child mortality, medical care during the antenatal and postnatal periods, and sibling maternal mortality, among others.
The KNB Data Repository is an international repository intended to facilitate ecological, environmental and earth science research in the broadest senses. For scientists, the KNB Data Repository is an efficient way to share, discover, access and interpret complex ecological, environmental, earth science, and sociological data and the software used to create and manage those data. Due to rich contextual information provided with data in the KNB, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The KNB supports rich, detailed metadata to promote data discovery as well as automated and manual integration of data into new projects. The KNB supports a rich set of modern repository services, including the ability to assign Digital Object Identifiers (DOIs) so data sets can be confidently referenced in any publication, the ability to track the versions of datasets as they evolve through time, and metadata to establish the provenance relationships between source and derived data.
The Registry of Open Data on AWS provides a centralized repository of public data sets that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge to their users. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users.
The Royal Library of the Netherlands (Dutch: Koninklijke Bibliotheek or KB; Royal Library) is the national library of the Netherlands. The KB collects everything that is published in and concerning the Netherlands, from medieval literature to today's publications. The e-Depot contains the Dutch National Library Collection of born-digital publications from, and about, the Netherlands, and international publications consisting of born-digital scholarly articles included in journals produced by publishers originally based in the Netherlands
HELIX DATA is an integral component of the Hellenic Data Service "HELIX" supporting knowledge management and scholarly communication in Greece. HELIX DATA is the data catalogue and repository, with a dual role to store and preserve data that are self-deposited by researchers as well as to harvest data records from other national data sources and catalogues.
figshare allows researchers to publish all of their research outputs in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets. Optional peer review process. figshare uses creative commons licensing. figshare+ repository allows figshare users to share larger datasets, over 20GB up to many TBs, see: https://plus.figshare.com/