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Found 218 result(s)
<<<!!!<<< This repository is no longer available. >>>!!!>>> see https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=7021#!/details and https://ota.bodleian.ox.ac.uk/repository/xmlui/discover?query=germanc&submit=Search&filtertype_1=title&filter_relational_operator_1=contains&filter_1=&query=germanc
EM-DAT is a global database on natural and technological disasters, containing essential core data on the occurrence and effects of more than 22,000 disasters in the world, from 1900 to present. EM-DAT provides geographical, temporal, human and economic information on disasters at the country level. The database is compiled from various sources, including UN agencies, non-governmental organisations, insurance companies, research institutes and press agencies.
COW seeks to facilitate the collection, dissemination, and use of accurate and reliable quantitative data in international relations. Key principles of the project include a commitment to standard scientific principles of replication, data reliability, documentation, review, and the transparency of data collection procedures. More specifically, we are committed to the free public release of data sets to the research community, to release data in a timely manner after data collection is completed, to provide version numbers for data set and replication tracking, to provide appropriate dataset documentation, and to attempt to update, document, and distribute follow-on versions of datasets where possible. We intend to use our website as the center of our data distribution efforts, to serve as central site for collection of possible error information and questions, to provide a forum for interaction with users of Correlates of War data, and as a way for the international relations community to contribute to the continuing development of the project.
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Phaidra Vetmeduni Vienna is the Universitys platform for long-term archiving of digital collections such as Thesis and Research Data. In two years we would enlarge the collection for archive materials such as fotos, books an dias f.e.
GeoWeb is the MIT Libraries instance of GeoBlacklight and primarily contains data purchased for use by MIT affiliates.
The purpose of the Dataset Catalogue is to enhance discovery of GNS Science datasets. At a minimum, users will be able to determine whether a dataset on a specific topic exists and then whether it pertains to a specific place and/or a specific date or period. Some datasets include a web link to an online resource. In addition, contact details are provided for the custodian of each dataset as well as conditions of use.
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
The ACEnano Knowledge Infrastructure facilitates access and sharing of methodology applied in nanosafety, starting with nanomaterials characterisation protocols developed or optimised within the ACEnano project.
ReDATA is the research data repository for the University of Arizona and a sister repository to the UA Campus Repository (which is intended for document-based materials). The UA Research Data Repository (ReDATA) serves as the institutional repository for non-traditional scholarly outputs resulting from research activities by University of Arizona researchers. Depositing research materials (datasets, code, images, videos, etc.) associated with published articles and/or completed grants and research projects, into ReDATA helps UA researchers ensure compliance with funder and journal data sharing policies as well as University data retention policies. ReDATA is designed for materials intended for public availability.
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The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) and German Plant Phenotyping Network (DPPN) has jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like image collections from plant phenotyping and microscopy, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents.
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The City of Burnaby maintains a wide range of data. As part of our commitment to engagement, transparency and accountability, we want to share our data with you. Please explore this site and use Burnaby’s data to analyze information, build apps, combine open datasets using maps, develop new web and mobile applications, and to meet your specific data needs. Together, using open data, we’ll make our great community even better!
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A free and open data-sharing portal providing access to the definitive source of geographic and other data relating to the City of Markham.
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/
ZENODO builds and operates a simple and innovative service that enables researchers, scientists, EU projects and institutions to share and showcase multidisciplinary research results (data and publications) that are not part of the existing institutional or subject-based repositories of the research communities. ZENODO enables researchers, scientists, EU projects and institutions to: easily share the long tail of small research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. display their research results and get credited by making the research results citable and integrate them into existing reporting lines to funding agencies like the European Commission. easily access and reuse shared research results.
The objective of the Database of Genomic Variants is to provide a comprehensive summary of structural variation in the human genome. We define structural variation as genomic alterations that involve segments of DNA that are larger than >1kb. Now we also annotate InDels in 100bp-1kb range. The content of the database is only representing structural variation identified in healthy control samples. The Database of Genomic Variants provides a useful catalog of control data for studies aiming to correlate genomic variation with phenotypic data. The database is continuously updated with new data from peer reviewed research studies. We always welcome suggestions and comments regarding the database from the research community.
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The COSYNA observatory measures key physical, sedimentary, geochemical and biological parameters at high temporal resolution in the water column and at the sediment and atmospheric boundaries. COSYNA delivers spatial representation through a set of fixed and moving platforms, like tidal flats poles, FerryBoxes, gliders, ship surveys, towed devices, remote sensing, etc.. New technologies like underwater nodes, benthic landers and automated sensors for water biogeochemical parameters are further developed and tested. A great variety of parameters is measured and processed, stored, analyzed, assimilated into models and visualized.
The SICAS Medical Image Repository is a freely accessible repository containing medical research data including medical images, surface models, clinical data, genomics data and statistical shape models. The data can freely be organized and shared on SMIR and made publicly accessible with a DOI. Dedicated data sets are organized as collections of anatomical regions (e.g Cochlea). The data can be filtered using a modular search and accessed on the web or through the SMIR API.
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CosmoHub is a web application based on Hadoop to perform interactive exploration and distribution of massive cosmological datasets
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The Biological Collection Access Service for Europe, BioCASE, is a transnational network of biological collections of all kinds. BioCASE enables widespread unified access to distributed and heterogeneous European collection and observational databases using open-source, system-independent software and open data standards and protocols.
This database contains individual-based life history data that have been collected from wild primate populations by nine working group participants over a minimum of 19 years.