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Found 135 result(s)
The Mindboggle-101 data consist of three data sets: (1) individually labeled human brain surfaces and volumes, (2) templates (unlabeled images combining the individual brains, used for registration), and (3) atlases (anatomical labels combining the individual brains, used for labeling).
The Integrated Catalogue (InK) of Mediathek of the Basel Academy of Art and Design (Hochschule für Gestaltung und Kunst Basel, HGK) hosts, collects, archives and makes available digital resources of HGK and its digital, special collections. It is available both to members of the Academy of Applied Sciences of Northwestern Switzerland (Fachhochschule Nordwestschweiz, FHNW) to which the HGK belongs and to the general public. In addition to data for internal university use (login area), there is a large amount of unrestricted, freely accessible content. The thematic focus is on contemporary art and design, art and design research, and topics related to the HGK. The sources cover a wide range of media: in addition to thesis and PDFs based documents, there are cluster objects, which assign several images, videos, audio and/or text files to a defined data set. The InK serves as an institutional repository for research data management and as a platform for hybrid publications.
In collaboration with other centres in the Text+ consortium and in the CLARIN infrastructure, the CLARIND-UdS enables eHumanities by providing a service for hosting and processing language resources (notably corpora) for members of the research community. CLARIND-UdS centre thus contributes of lifting the fragmentation of language resources by assisting members of the research community in preparing language materials in such a way that easy discovery is ensured, interchange is facilitated and preservation is enabled by enriching such materials with meta-information, transforming them into sustainable formats and hosting them. We have an explicit mission to archive language resources especially multilingual corpora (parallel, comparable) and corpora including specific registers, both collected by associated researchers as well as researchers who are not affiliated with us.
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Macromolecular Xtallography Raw Data Repository (MX-RDR) is a domain-specific digital repository of crystallographic open research data. The use of Repository is open for everyone.
Currently the institute has more than 700 collections consisting of (digital) research data, digitized material, archival collections, printed material, handwritten questionnaires, maps and pictures. The focus is on resources relevant for the study of function, meaning and coherence of cultural expressions and resources relevant for the structural, dialectological and sociolinguistic study of language variation within the Dutch language. An overview is here https://meertens.knaw.nl/en/datasets/
TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. Data in TreeBASE are exposed to the public if they are used in a publication that is in press or published in a peer-reviewed scientific journal, book, conference proceedings, or thesis. Data used in publications that are in preparation or in review can be submitted to TreeBASE but are only available to the authors, publication editors, or reviewers using a special access code.
The Numeric Data Services Dataverse provides access to the Cross National Time Series (Banks data), the ITERATE database, and selected survey data. The DataVerse of the Harvard's Numeric Data Services houses a curated collection of datasets to meet the research and instructional needs of the Harvard community, which are also openly accessible. Primarily social sciences.
The UK Data Service is a national data service funded by the ESRC to provide research access to the UK’s largest collection of social, economic and population data including UK government-sponsored surveys, cross-national surveys, longitudinal studies, UK census data, international aggregate, business data, and qualitative data. Designed to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, business consultants and analysts, communities and the commercial sector, the UK Data Service provides access to high-quality social and economic data; support for policy-relevant research; guidance and training for the development of skills in data use, and the development of best practice in digital preservation and sharing. Data users can browse collections online and register to analyse and download them. Open Data collections are available for anyone to use. Key partners include JISC, the University of Manchester, University of Southampton, University of Leeds, University of Edinburgh and University College London (UCL). The lead partner is the UK Data Archive (https://service.re3data.org/repository/r3d100010215) based at the University of Essex, a Trusted Digital Repository (TDR) certified against the CoreTrustSeal (https://www.coretrustseal.org/) and certified against ISO27001 for Information Security (https://www.iso.org/standard/27001). The UK Data Service replaces the earlier ESRC investments of the Economic and Social Data Service (ESDS), the Secure Data Service (SDS), the Survey Question Bank and elements of the ESRC Census Programme.
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Gambling Research Exchange Ontario (GREO) is a knowledge translation and exchange organization that aims to eliminate harm from gambling. Our goal is to support evidence-informed decision making in responsible gambling policies, standards and practices. In line with this mandate, datasets curated in this archive relate to gambling and reducing gambling related harms.
Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood. The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).