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Found 70 result(s)
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KU Leuven RDR (pronounced "RaDaR") is KU Leuven's Research Data Repository, built on Dataverse.org - open source repository software built by Harvard University. RDR gives KU Leuven researchers a one-stop platform to upload, describe, and share their research data, conveniently and with support from university staff.
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The Tecnológico de Monterrey's Data Hub offers Open Data generated by our researchers and other initiatives. This initiative is sponsored by both the Living Lab & Data Hub of the Institute for the Future of Education (IFE and the Tecnologico de Monterrey's Research Office. This repository is organized by Institutes and Schools.
The Arizona State University (ASU) Research Data Repository provides a platform for ASU-affiliated researchers to share, preserve, cite, and make research data accessible and discoverable. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with data sharing policies. The repository is powered by the Dataverse open-source application, developed and used by Harvard University. Both the ASU Research Data Repository and the KEEP Institutional Repository are managed by the ASU Library to ensure research produced at Arizona State University is discoverable and accessible to the global community.
The Perovskite Database Project aims at making all perovskite device data, both past and future, available in a form adherent to the FAIR data principles, i.e. findable, accessible, interoperable, and reusable.
EBRAINS offers one of the most comprehensive platforms for sharing brain research data ranging in type as well as spatial and temporal scale. We provide the guidance and tools needed to overcome the hurdles associated with sharing data. The EBRAINS data curation service ensures that your dataset will be shared with maximum impact, visibility, reusability, and longevity, hhttps://www.ebrains.eu/data/find-data/. Find data - the user interface of the EBRAINS Knowledge Graph - allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.
The EUDAT project aims to contribute to the production of a Collaborative Data Infrastructure (CDI). The project´s target is to provide a pan-European solution to the challenge of data proliferation in Europe's scientific and research communities. The EUDAT vision is to support a Collaborative Data Infrastructure which will allow researchers to share data within and between communities and enable them to carry out their research effectively. EUDAT aims to provide a solution that will be affordable, trustworthy, robust, persistent and easy to use. EUDAT comprises 26 European partners, including data centres, technology providers, research communities and funding agencies from 13 countries. B2FIND is the EUDAT metadata service allowing users to discover what kind of data is stored through the B2SAFE and B2SHARE services which collect a large number of datasets from various disciplines. EUDAT will also harvest metadata from communities that have stable metadata providers to create a comprehensive joint catalogue to help researchers find interesting data objects and collections.
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The Data Repository of the Department of Statistical Sciences of the University of Padova is a research data archive with the objective of sharing datasets collected within the Department. The service aims to facilitate data discovery, data sharing, and reuse.
A research data repository for the education and developmental sciences.
The US BRAIN Initiative archive for publishing and sharing neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments.
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nmrXiv is an open, FAIR and consensus-driven NMR spectroscopy data repository and analysis platform. We archive raw and processed NMR data, providing support for browsing, search, analysis, and dissemination of NMR data worldwide.
The Energy Data Centre holds information relating to energy research, focused on the UK. It has a research data catalogue, information on publications resulting from the UK Energy Research Centre and the Energy Technologies Institute and energy research related grants.
The EUR Data Repository [EDR] is the institutional data repository from the Erasmus University Rotterdam. The EUR Data Repository is an online platform where you showcase your research and make it findable, citable, and reusable for others.
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OpenAgrar is an open access repository which publishes, stores, archives and distributes publications, publication references and research data. Its resources can be searched and used by everyone. It contains amongst others theses, reports, conference proceedings, journal articles, books, institutional documents, research datasets, videos and interviews.
PSI Open Data Provider allows users to consult open data related to experiments carried out at PSI. Data made available includes scientific datasets collected during experiments and publications if any. Users can search for data based on related metadata (both their own data and other people's public data).
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AusGeochem is an easy-to-use platform for uploading, visualising, analysing and discovering georeferenced sample information and data produced by various geoscience research institutions such as universities, geological survey agencies and museums. With respect to analytical research laboratories, AusGeochem provides a centralised repository allowing laboratories to upload, archive, disseminate and publish their datasets. The intuitive user interface (UI) allows users to access national publicly funded data quickly through the ability to view an area of interest, synthesise a variety of geochemical data in real-time, and extract the required data, gaining novel scientific insights through multi-method data collation. Lithodat Pty Ltd has integrated built-in data synthesis functions into the platform, such as cumulative age histograms, age vs elevation plots, and step-heating diagrams, allowing for rapid inter-study comparisons. Data can be extracted in multiple formats for re-use in a variety of software systems, allowing for the integration of regional datasets into machine learning and AI systems.
ReefTEMPS is a temperature, pressure, salinity and other observables sensor network in coastal area of South, West and South West of Pacific ocean, driven by UMR ENTROPIE. It is an observatory service from the French national research infrastructure ILICO for “coastal environments”. Some of the network’s sensors have been deployed since 1958. Nearly hundred sensors are actually deployed in 14 countries covering an area of more than 8000 km from East to West. The data are acquired at different rates (from 1sec to 30 mn) depending on sensors and sites. They are processed and described using Climate and Forecast Metadata Convention at the end of oceanographic campaigns organized for sensors replacement every 6 months to 2 years.
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The Goethe University Data Repository (GUDe) provides a platform for its members to electronically archive, share, and publish their research data. GUDe is jointly operated by the University Library and the University Data Center of the Goethe University. The metadata of all public content is freely available and indexed by search engines as well as scientific web services. GUDe follows the FAIR principles for long-term accessibility (minimum 10 years), allows for reliable citation via DOIs as well as cooperative access to non-public data and operates on DSpace-CRIS v7. If you have any questions regarding the use of GUDe, please consult the user documentation.
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Kadi4Mat instance for use at the Karlsruhe Institute of Technology (KIT) and for cooperations, including the Cluster of Competence for Solid-state Batteries (FestBatt), the Battery Competence Cluster Analytics/Quality Assurance (AQua), and more. Kadi4Mat is the Karlsruhe Data Infrastructure for Materials Science, an open source software for managing research data. It is being developed as part of several research projects at the Institute for Applied Materials - Microstructure Modelling and Simulation (IAM-MMS) of the Karlsruhe Institute of Technology (KIT). The goal of this project is to combine the ability to manage and exchange data, the repository , with the possibility to analyze, visualize and transform said data, the electronic lab notebook (ELN). Kadi4Mat supports a close cooperation between experimenters, theorists and simulators, especially in materials science, to enable the acquisition of new knowledge and the development of novel materials. This is made possible by employing a modular and generic architecture, which allows to cover the specific needs of different scientists, each utilizing unique workflows. At the same time, this opens up the possibility of covering other research disciplines as well.
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B2SHARE allows publishing research data and belonging metadata. It supports different research communities with specific metadata schemas. This server is provided for researchers of the Research Centre Juelich and related communities.
RIVMdata is a metadata catalog. This catalog is filled with the metadata of RIVM datasets. ISO 19115 and DCAT standards are used as the metadata standards. The catalog consists of an internal site, which is only accessible to RIVM employees, and an external site, in which the metadata is accessible to the general public.
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The Austrian NeuroCloud (ANC) is a FAIR-enabling platform for sustainable research data management in Cognitive Neuroscience. Most of the offered research data is restricted, the publicly available datasets can be seen under https://data.anc.plus.ac.at/explore The ANC offers tools and services to archive, manage, and share neurocognitive data flexibly and according to community standards. Scientists have full control over what they share (e.g., full original datasets or data derivatives), how they share it (by choosing from a selection of licensing models), and with whom (e.g., by using the ANC’s adjustable User Agreement templates). The ANC provides persistent DOIs for data releases and operates in accordance with European GDPR. Moreover, the ANC fully supports the mission of the EOSC and is committed to the EU’s open science policy, legal standards, and best open science practices. Accordingly, the ANC aspires to facilitate FAIR data operations along the entire data lifecycle, actively supporting the ongoing shift in research culture towards increased transparency, data reusability, and result reproducibility.