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Found 291 result(s)
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The transfer unit for data and biomaterials at the interface between Community Medicine and Molecular Medicine at the Medical Faculty of the University Medicine Greifswald enables the use of data from the studies of the research association Community Medicine (FVCM), e.g. the "Study of Health in Pomerania" (SHIP), "Study of Neonates in Pomerania" (SNiP), or "Greifswald Approach to Individualized Medicine" (GANI_MED), coordinated with regard to application, provision and documentation.
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media/rep/ is the disciplinary repository for German-language media studies. It offers free and open access to publications and research data in media studies and related disciplines.
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ARAMOB is a German project aiming at consolidating and mobilising data from systematic studies on the ecology of spiders in Germany through this online portal. The underlying data management is done with the modularized database system Diversity Workbench. This framework was enhanced as a virtual research environment for arachnology by including lists, thesaury and trans-modular functions and tools helpful for data management in studies of spider taxonomy and ecology. The ARAMOB database will serve as repository for ecological data on spiders from Germany, provided by the Arachnologische Gesellschaft (AraGes) in the sense of the German Federation for Biological Data (GFBio). Through the portal or direct use of the database with Diversity Workbench data will be available to members of the AraGes for ecological analyses of spider species and assemblages, e.g. occurence and distribution, phenology, habitat preferences, ecological preferences, indication of habitat quality, a.o.
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WueData is the institutional research data repository of the University of Würzburg. This service offered by the IT Center and the University Library enables scientists to publish their digital research data in accordance with the FAIR principles.
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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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bonndata is the institutional, FAIR-aligned and curated, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn. The repository is fully embedded into the University IT and Data Center and curated by the Research Data Service Center (https://www.forschungsdaten.uni-bonn.de/en). The software that bonndata is based on is the open source software Dataverse (https://dataverse.org)
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The public MorpheusML model repository collects, curates, documents and tests computational models for multi-scale and multicellular biological systems. Model must be encoded in the model description language MorpheusML. Subsections of the repository distinguish published models from contributed non-published and example models. New models are simulated in Morpheus or Artistoo independently from the authors and results are compared to published results. Successful reproduction is documented on the model's webpage. Models in this repository are included into the CI and test pipelines for each release of the model simulator Morpheus to check and guarantee reproducibility of results across future simulator updates. The model’s webpage provides a History-link to all past model versions and edits that are automatically tracked via Git. Each model is registered with a unique and persistent ID of the format M..... The model description page (incl. the biological context and key results of that model), the model’s XML file, the associated paper, and all further files (often simulation result videos) connected with that model can be retrieved via a persistent URL of the format https://identifiers.org/morpheus/M..... - for technical details on the citable ModelID please see https://registry.identifiers.org/registry/morpheus - for the model definition standard MorpheusML please see https://doi.org/10.25504/FAIRsharing.78b6a6 - for the model simulator Morpheus please see https://morpheus.gitlab.io - for the model simulator Artistoo please see https://artistoo.net/converter.html
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With the support of TELOTA, the Library of the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) operates an institutional repository for the first and second publication of scholarly publications authored or edited by members or staff of the BBAW and its predecessor institutions. The edoc server makes the publications available to the worldwide scholarly community in open access and ensures their long-term archiving. The edoc server is thus part of the implementation of the Academy's Open Science mission statement. Since 11/2022 the edoc-server of the academy is as well accepting research data and is thus the institutional research data repository of the academy.
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As a research data hub for social and economic history, Emporion enables the free and standards-compliant publication of time series, historical statistical and panel data, georeferenced vector data, text mining analyses and data papers. Emporion is also open to contributions from the fields of business and environmental history and the history of technology. Emporion's supporting institutions are the DFG Priority Programme 1859 'Experience and Expectations. Historical Foundations of Economic Behavior' and the Gesellschaft für Sozial- und Wirtschaftsgeschichte in conjunction with the Staatsbibliothek zu Berlin – Preußischer Kulturbesitz.
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The BAW is a research institute for the Federal Ministry of Transport and acts as an advisor to the federal government for issues of waterway engineering. In this role the BAW consumes and produces large volumes of data and information. As part of the implementation of Open Data legislation and in support of Open Data and Open Access principles, the BAW provides access to scientific data together with their metadata. The BAW-Datenrepository was developed as a point of access for hydraulic engineering experts, contractors and customers of the BAW as well as the general public. It is a source for quality-assured information and provides standardised, long-term access to waterway engineering data. The BAW-Datenrepository supports the targeted search for information and data and gives direct access to them. By publishing its scientific data, the BAW promotes transparency in public discourse as well as accountability of public administration enabling the data to create value beyond the BAW.
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Discuss Data is an open repository for storing, sharing and discussing research data on Eastern Europe, the South Caucasus and Central Asia. The platform, launched in September 2020, is funded by the German Research Foundation (DFG) and operated by the Research Centre for East European Studies at the University of Bremen (FSO) and the Göttingen State and University Library (SUB). Discuss Data goes beyond ordinary repositories and offers an interactive online platform for the discussion and quality assessment of research data. Our aim is to create a space for academic communication and for the community-specific publication, curation, annotation and discussion of research data.
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HilData is registered by Hildesheim University Library, The access is via registration to the data and to the repository. Research data is with regards to educational science. Research data are sensitive and cannot be made fully open. HILDE Online is integrated in HilData: https://www.uni-hildesheim.de/celeb/projekte/fallarchiv-hilde/hildeonline-streaming-server/ HilData is working on its metadata (exposing metadata via interfaces) w.r.t. the FAIR principles and data citation. HilData and HILDE Online provide long-term storage and access to research data. The research data repository provides restricted access to its data. The research data repository uses DOI to make its provided data persistent, unique and citable.
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osnaData, the institutional research data repository of the Osnabrück University, offers all members of the university the opportunity to publish their scientific research data free of charge and thus share it with the public in accordance with open science. Research data of all types and formats can be published and provided with appropriate licenses. osnaData assigns DOIs to datasets as persistent identifiers.
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.
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The GEOROC data repository hosts research data within the scope of the GEOROC database: geochemical compositions of rocks, glasses, minerals and inclusions from all geological settings on Earth. The repository is curated by the Digital Geochemical Data Infrastructure (DIGIS) project at Göttingen University.
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Plastics are widely used in our economy and each year, at least 350-400 million tons are being produced at a global level. Due to poor recycling and low circular use, tens of millions of tons accumulate annually in marine and terrestrial environments. While it has become obvious that micro and macroplastics contaminate our environments recent research has identified few bacteria and fungi actively degrading plastics by enzymatic reactions. In general these are promiscuous enzymes (hydrolases) acting on low crystaline and mostly low density polymers of PET, ester-based PUR and oligomers of PA. Notably today, no enzymes have been characterized on a biochemical level for polymeric and crystaline PE, ether-based PUR, PS, PVC, PP. While many publications report on plastic degradation often, no convincing biochemical data have been published. Therefore the PAZy database lists exclusively biochemically characterized plastic-active enzymes. Predicted and putative enzymes that were not characterized on a biochemical, functional or structural level are not included in the PAZy database. The entries are manually curated.
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The Diccionario del Español Medieval electrónico (DEMel) provides a lemmatised and semantically pre-structured electronic data archive on medieval Spanish. The basis of the data collection is the digitised material archived in card indexes of the Diccionario del Español Medieval (DEM), which was discontinued at the end of 2007 for financial reasons. The DEM covers the history of the development of Spanish vocabulary between the 10th and the beginning of the 15th century on the basis of far more than 600 literary and non-literary works or collections of texts and documents.
MetabolomeXchange.org delivers the mechanisms needed for disseminating the data to the metabolomics community at large (both metabolomics researchers and databases). The main objective is to make it easier for metabolomics researchers to become aware of newly released, publicly available, metabolomics datasets that may be useful for their research. MetabolomeXchange contains datasets from different data providers: MetaboLights, Metabolomic Repository Bordeaux, Metabolomics Workbench, and Metabolonote
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PubData is Leuphana's institu­tional research data reposi­tory for the long-term preser­vation, documen­tation and publi­cation of research data from scienti­fic projects. PubData is main­tained by Leuphana's Media and Infor­mation Centre (MIZ) and is free of charge. The service is primarily aimed at Leuphana em­ployees and additionally at re­searchers from coope­ration partners con­tractually asso­ciated with Leuphana.
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KonDATA is the research data repository of the University of Konstanz. This service offered by KIM provides you with the simple and convenient option of publishing your research data in a way that is visible and citable in the long term
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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.
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DaKS is the institutional repository of the University of Kassel for research data. It offers structured storage of research data alongside with descriptive metadata, long-term archiving for at least 10 years and – if requested – the publication of the dataset with a DOI.
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The German Central Health Study Hub is a platform that serves two different kinds of users. First, it allows scientists and data holding organizations (data producers) to publish their project characteristics, documents and data related to their research endeavour in a FAIR manner. Obviously, patient-level data cannot be shared publicly, however, metadata describing the patient-level data along with information about data access can be shared via the platform (preservation description information). The other kind of user is a scientist or researcher (data consumer) that likes to find information about past and ongoing studies and is interested in reusing existing patient-level data for their project. To summarize, the platforms connect data providers with data consumers in the domain of clinical, public health and epidemiologic health research to foster reuse. The platform aggregates and harmonizes information already entered in various public repositories such as DRKS, clinicaltrials.gov, WHO ICTRP to provide a holistic view of the German research landscape in the aforementioned research areas. In addition, data stewards actively collect available information from (public) resources such as websites that cannot be automatically integrated. The service started during the COVID-19 pandemic.