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Found 294 result(s)
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This repository supports the researchers of the Eötvös Loránd Research Network (elkh.org), and to some extent the Hungarian scientists in general.
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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.
We present the MUSE-Wide survey, a blind, 3D spectroscopic survey in the CANDELS/GOODS-S and CANDELS/COSMOS regions. Each MUSE-Wide pointing has a depth of 1 hour and hence targets more extreme and more luminous objects over 10 times the area of the MUSE-Deep fields (Bacon et al. 2017). The legacy value of MUSE-Wide lies in providing "spectroscopy of everything" without photometric pre-selection. We describe the data reduction, post-processing and PSF characterization of the first 44 CANDELS/GOODS-S MUSE-Wide pointings released with this publication. Using a 3D matched filtering approach we detected 1,602 emission line sources, including 479 Lyman-α (Lya) emitting galaxies with redshifts 2.9≲z≲6.3. We cross-match the emission line sources to existing photometric catalogs, finding almost complete agreement in redshifts and stellar masses for our low redshift (z < 1.5) emitters. At high redshift, we only find ~55% matches to photometric catalogs. We encounter a higher outlier rate and a systematic offset of Δz≃0.2 when comparing our MUSE redshifts with photometric redshifts. Cross-matching the emission line sources with X-ray catalogs from the Chandra Deep Field South, we find 127 matches, including 10 objects with no prior spectroscopic identification. Stacking X-ray images centered on our Lya emitters yielded no signal; the Lya population is not dominated by even low luminosity AGN. A total of 9,205 photometrically selected objects from the CANDELS survey lie in the MUSE-Wide footprint, which we provide optimally extracted 1D spectra of. We are able to determine the spectroscopic redshift of 98% of 772 photometrically selected galaxies brighter than 24th F775W magnitude. All the data in the first data release - datacubes, catalogs, extracted spectra, maps - are available at the website.
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GEOFON seeks to facilitate cooperation in seismological research and earthquake and tsunami hazard mitigation by providing rapid transnational access to seismological data and source parameters of large earthquakes, and keeping these data accessible in the long term. It pursues these aims by operating and maintaining a global network of permanent broadband stations in cooperation with local partners, facilitating real time access to data from this network and those of many partner networks and plate boundary observatories, providing a permanent and secure archive for seismological data. It also archives and makes accessible data from temporary experiments carried out by scientists at German universities and institutions, thereby fostering cooperation and encouraging the full exploitation of all acquired data and serving as the permanent archive for the Geophysical Instrument Pool at Potsdam (GIPP). It also organises the data exchange of real-time and archived data with partner institutions and international centres.
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The data repository of the Helmholtz Centre for Environmental Research. The Data Investigation Portal (DRP) provides the opportunity to publicly access the administered data in the Data Management Portal and search them. The presentation is here limited to metadata and non-restricted information. DRP users can thus gain an overview of the data sets and, if necessary, contact the author to gain access to the data.
Yoda publishes research data on behalf of researchers that are affiliated with Utrecht University, its research institutes and consortia where it acts as a coordinating body. Data packages are not limited to a particular field of research or license. Yoda publishes data packages via Datacite. To find data publications use: https://public.yoda.uu.nl/, or the Datacite search engine: https://commons.datacite.org/doi.org?query=client.uid:delft.uu
The Johns Hopkins Research Data Repository is an open access repository for Johns Hopkins University researchers to share their research data. The Repository is administered by professional curators at JHU Data Services, who will work with depositors to enable future discovery and reuse of your data, and ensure your data is Findable, Accessible, Interoperable and Reusable (FAIR). More information about the benefits of archiving data can be found here: https://dataservices.library.jhu.edu/
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The University of Regina Library offers our institution's researchers the opportunity to store (and share, if appropriate) their research data in our University of Regina Dataverse.
University of Alberta Dataverse is a service provided by the University of Albert Library to help researchers publish, analyze, distribute, and preserve data and datasets. Open for University of Alberta-affiliated researchers to deposit data.
The CBU Dataverse is a research data repository for Cape Breton University. Files are held securely on Canadian servers, and can be made openly accessible to further research, gain citations and promote our world class research.
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The institutional research data repository of the Universität Innsbruck is a service to enable storing, sharing and publishing of research data according to the FAIR principles for its employees and project partners.
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The SMU Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers. Researchers can choose to make content available publicly, to specific individuals, or to keep it locked.
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UWinnipeg Research Data Repository accepts research data and datasets that have been created by researchers and research groups at the University of Winnipeg. Files are held in a secure environment on Canadian servers. The UWinnipeg Data Repository accepts finalized datasets that are ready for publication and sharing.
The ESCAPE Open-source Scientific Software and Service Repository (OSSR) is a sustainable open-access repository to share scientific software, services and datasets to the astro-particle-physics-related communities and enable open science. It is built as a curated Zenodo community (https://zenodo.org/communities/escape2020) integrated with several tools to enable a complete software life-cycle. The ESCAPE Zenodo community welcomes entries that support the software and service projects in the OSSR such as user-support documentation, tutorials, presentations and training activities. It also encourages the archival of documents and material that disseminate and support the goals of ESCAPE.
ORA (Oxford University Research Archive) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University of Oxford. ORA aims to provide access to the full text of as much of Oxford's academic research as possible. This includes articles, conference papers, theses, research data, working papers, posters and more. Making materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University of Oxford that have been published under open access conditions, whilst additionally supporting University compliance with research funder policy and assessment.
The WashU Research Data repository accepts any publishable research data set, including textual, tabular, geospatial, imagery, computer code, or 3D data files, from researchers affiliated with Washington University in St. Louis. Datasets include metadata and are curated and assigned a DOI to align with FAIR data principles.
The University of Toronto Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers. Researchers can choose to make content available publicly, to specific individuals, or to restrict access.
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PTB is the national metrology institute of the Federal Republic of Germany. The Open Access Repository of the Physikalisch-Technische Bundesanstalt grants free access to a number of factual datasets and documents that were elaborated at PTB. This includes publications such as the "PTB-Mitteilungen", the metrological expert journal of PTB, and numerous of documents from the field of legal metrology.
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The Biodiversity Information System of Ecuador, SiB-Ec, is a technological tool that will become the core of the national information exchange network that promotes and facilitates interoperability, standardisation and implementation of guidelines for the management of data and information on biodiversity, through the National Catalogue of Biological Objects (CNOB), so that this information is available with different levels of access, and is used for the benefit of conservation, sustainable use of biodiversity, decision making and generation of public policy. SiB-Ec also makes it possible to manage the information generated on the country's Natural Heritage and to coordinate the efforts of the actors involved in the generation, management, publication and use of national biodiversity data and information. SiB-Ec also makes it possible to manage the information generated on the country's Natural Heritage and to coordinate the efforts of the actors involved in the generation, management, publication and use of national biodiversity data and information. Within SIB-Ec there is an IPT (The Integrated Publishing Toolkit) which is connected to GBIF for the exchange of biodiversity data in this network.
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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.
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The Leibniz Data Manager (LDM) is a scientific repository for research data from the fields of science and technology. The service supports a better re-usability of research data for scientific projects. The LDM fosters the management and access to heterogeneous research data publications and assists researchers in the selection of relevant data sets for their respective disciplines. The LDM currently offers the following functions for the visualization of research data: · Supports data collections and publications with different formats. · Different views on the same data set (2D and 3D support). · Visualization of Auto CAD files. · Jupyter Notes for demonstrating live code. · RDF Description of data collections.
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The University of Tasmania Research Data Portal (RDP) enables UTAS researchers to securely store and publish their datasets. Datasets published in RDP are publicly available through the Research Data Australia Search Portal (https://researchdata.edu.au/).