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Found 14 result(s)
The SURF Data Repository is a user-friendly web-based data publication platform that allows researchers to store, annotate and publish research datasets of any size to ensure long-term preservation and availability of their data. The service allows any dataset to be stored, independent of volume, number of files and structure. A published dataset is enriched with complex metadata, unique identifiers are added and the data is preserved for an agreed-upon period of time. The service is domain-agnostic and supports multiple communities with different policy and metadata requirements.
Content type(s)
Country
Fondo Antiguo is part of UVaDOC Repositorio Documental de la Universidad de Valladolid. It contains ancient printed documents.
The HomoloGene database provides a system for the automated detection of homologs among annotated genes of genomes across multiple species. These homologs are fully documented and organized by homology group. HomoloGene processing uses proteins from input organisms to compare and sequence homologs, mapping back to corresponding DNA sequences.
CMO is a long-term project for the critical edition of Near Eastern music manuscripts. The project focusing on manuscripts of Ottoman music written in Hampartsum and staff notations during the nineteenth century, is funded by the German Research Foundation (DFG). This platform provides access to the online versions of both music and text editions, as well as the source catalogue, which is a comprehensive database of printed, manuscript and online sources.
Content type(s)
The MDR harvests metadata on data objects from a variety of sources within clinical research (e.g. trial registries, data repositories) and brings that together in a single searchable portal. The metadata is concerned with discoverability, access and provenance of the data objects (which because the data may be sensitive will often be available under a controlled access regime). At the moment (01/2021) the MDR obtains study data from: Clinical Trials.gov (CTG), The European Clinical Trials Registry (EUCTR), ISRCTN, The WHO ICTRP
Country
RWTH Publications Research Data offers all RWTH Aachen University affiliates the organizational and technical means to electronically document and publish research data at this institutional repository. Certainly, researchers are encouraged to prefer a subject specific repository whenever appropriate and available. RWTH Aachen University is the largest technical university in Germany and one of nine 'German Universities of Excellence' (elite university). The University library Aachen operates the repository as a member of the join community.
Country
InTOR is the institutional digital repository of the Institute of Virology, Vaccines and Sera “Torlak”. It provides open access to publications and other research outputs resulting from the projects implemented by the Institute of Virology, Vaccines and Sera “Torlak”. The software platform of the repository is adapted to the modern standards applied in the dissemination of scientific publications and is compatible with international infrastructure in this field.
Satellite-tracked drifting buoys ("drifters") collect measurements of upper ocean currents and sea surface temperatures (SST) around the world as part of the Global Drifter Program. Drifter locations are estimated from 16-20 satellite fixes per day, per drifter. The Drifter Data Assembly Center (DAC) at NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML) assembles these raw data, applies quality control procedures, and interpolates them via kriging to regular six-hour intervals. The raw observations and processed data are archived at AOML and at the Marine Environmental Data Services (MEDS) in Canada. Two types of data are available: "metadata" contains deployment location and time, time of drogue (sea anchor) loss, date of final transmission, etc. for each drifter. "Interpolated data" contains the quality-controlled, interpolated drifter observations.
The Bavarian Archive for Speech Signals (BAS) is a public institution hosted by the University of Munich. This institution was founded with the aim of making corpora of current spoken German available to both the basic research and the speech technology communities via a maximally comprehensive digital speech-signal database. The speech material will be structured in a manner allowing flexible and precise access, with acoustic-phonetic and linguistic-phonetic evaluation forming an integral part of it.
Country
data.eaufrance.fr is an information system on water (EIS); it is registered in the National Plan for Water Data (NELS) and will be integrated into the data dissemination web pattern. It also complies with the European Directive 2003/98 / EC of November 2003 on the reuse of public sector information. data.eaufrance.fr is a public data distribution platform open for reuse in the terms and conditions of the Licence Open / Open License. Opendata SIE is coordinated by the National Office for Water and Aquatic Environments (Onema); it was developed by the BRGM and the International Office for Water (IOW).
The Phonogrammarchiv is a multi-disciplinary research sound and video archive, covering holdings from all continents. Since its foundation in 1899 the Phonogrammarchiv has been building up its holdings by cooperating with Austrian scholars and archiving their collected material, or by fieldwork conducted by staff members on special topics exploring new fields of methods and contents. The main tasks comprise the production, annotation, cataloguing and long-term preservation of audio-visual field recordings, making the cultural heritage available for future generations and enabling the dissemination of the recordings as well as technical developments in the field of AV recording and storage. Thus the Phonogrammarchiv adds to infrastructural performance valuable to both the scholarly community and the public at large.
Country
Etsin is a research data finder that contains descriptive information – that is, metadata – on research datasets. In the service you can search and find data from various fields of research. A researcher, research group or organisation can use Etsin to publish information on their datasets and offer them for wider use. The metadata contained in Etsin makes it easy for anyone to discover the datasets. Etsin assigns a permanent URN identifier to datasets, making it possible to link to the dataset and gather merit through its publication and use. The metadata enables users to search for datasets and evaluate the potential for reuse. Etsin includes a description of the dataset, keywords and various dataset identifiers. The dataset information includes, for example, its subject, language, author, owner and how it is licensed for reuse. Good description of data plays an important role in its discoverability and visibility. Etsin encourages comprehensive descriptions by adapting a common set of discipline independent metadata fields and by making it easy to enter metadata. Etsin only collects metadata on datasets, not the data themselves. Anyone may browse and read the metadata. Etsin can be used with a browser or through an open interface (API). The service is discipline independent and free to use. Etsin is a service provided by the Ministry of Education and Culture to actors in the Finnish research system. The service is produced by CSC – IT Center for Science (CSC). Customer service contacts and feedback is available through servicedesk@csc.fi. The service maintenance window is on the fourth Monday of every month between 4 and 6 PM (EET). During that time, the service will be out of use.
The Heritage Centre represents the four keepers of historical collections of the municipality of Zutphen: Archeology, Monuments, Museum Zutphen, Regional Archive Zutphen (includes the municipalities of Brummen and Lochem) This portal means to be the online gateway to the municipal heritage in Zutphen and wants to provide you with the opportunity to search all their collections at once.
InterPro collects information about protein sequence analysis and classification, providing access to a database of predictive protein signatures used for the classification and automatic annotation of proteins and genomes. Sequences in InterPro are classified at superfamily, family, and subfamily. InterPro predicts the occurrence of functional domains, repeats, and important sites, and adds in-depth annotation such as GO terms to the protein signatures.