- Data Repository
- Data Repository
- Data Repository Canada Compatibility:Not yet registeredPartners:Élections Québec, Élections Québec Humanities and Social Sciences, Education Sciences, EconomicsÉlections Québec,Élections Québec
re3data: r3d100014067
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For further information contact us at helpdesk@openaire.eu - Data Repository Serbia Compatibility:Not yet registeredPartners:Laboratory for Research of Individual Differences, Laboratory for Research of Individual Differences Social Science, Social Psychology, Differential PsychologyLaboratory for Research of Individual Differences,Laboratory for Research of Individual Differences
re3data: r3d100013441
REPOPSI is an open repository that enables users to freely access and share psychological instruments in Serbian and other languages. It was established in 2020 by the Laboratory for Research of Individual Differences (LIRA) at the University of Belgrade – Faculty of Philosophy. REPOPSI holds psychological measures, scales, tests, and other instruments commonly used in social and behavioral science research. While it is primarily intended for Serbian instruments (that is, instruments translated/adapted into Serbian or originally developed by local scientists), it also documents English and multilingual instruments. REPOPSI is a growing collection – it currently contains around 200 instrument records, half of which are available in both Serbian and English. REPOPSI increases the visibility and availability of psychological instruments in Serbian and prevents overlapping translation efforts. Being a good starting point for any project, REPOPSI helps researchers and students quickly find the materials they need. Bilingual and multilingual instruments it offers have proven to facilitate participation in multi-country research projects. Instruments found in REPOPSI may be used under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. They can be freely accessed and used without permission for noncommercial purposes, provided instrument authors and translators are cited.
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For further information contact us at helpdesk@openaire.eu - Data Repository Belgium, United States Compatibility:Not yet registeredPartners:UMD, UMD, Quest Diagnostics (United States) Oncology, Genetics, Life ScienceUMD,UMD,Quest Diagnostics (United States)
BRCA Share is a novel gene datashare initiative that provides scientists and commercial laboratory organizations around the world with open access to BRCA Share (formerly UMD-BRCA1) contains BRCA1 and BRCA2 genetic data. The program’s goal is to accelerate research on BRCA gene mutations, particularly variants of uncertain significance, to improve the ability of clinical laboratory diagnostics to predict which individuals are at risk of developing these cancers.
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For further information contact us at helpdesk@openaire.eu - Data Repository United Kingdom Compatibility:Not yet registeredPartners:European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK Bioinformatics, Biology, Functional domainEuropean Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
re3data: r3d100010798 , r3d100010798
InterPro is a resource that provides functional analysis of protein sequences by classifying them into families and predicting the presence of domains and important sites. To classify proteins in this way, InterPro uses predictive models, known as signatures, provided by several different databases (referred to as member databases) that make up the InterPro consortium.
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For further information contact us at helpdesk@openaire.eu - Data Repository Canada, United States Compatibility:Not yet registeredPartners:OCUL, OCUL, York University, IQSS, Dataverse Project +2 partners Humanities and Social Sciences, Humanities, Life SciencesOCUL,OCUL,York University,IQSS,Dataverse Project,Dataverse Project,IQSS
re3data: r3d100012812 , r3d100012812
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For further information contact us at helpdesk@openaire.eu - Data Repository Italy Compatibility:Not yet registeredPartners:INGV, INGV Geology, Geography, Earth ScienceINGV,INGV
re3data: r3d100012621 , r3d100012621
The Database of Individual Seismogenic Sources (DISS) is a georeferenced repository of tectonic, fault, and paleoseismological information expressly devoted, but not limited, to potential applications in the assessment of seismic hazard at regional and national scale. DISS represents faults in 3D and contains fully-parameterized records. The core objects of DISS are: individual seismogenic sources, composite seismogenic sources, debated seismogenic sources and subduction zones.
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For further information contact us at helpdesk@openaire.eu - Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:IMCAS, IMCAS, WFCC MIRCEN Life Sciences, Microbiology, Virology and Immunology, BiologyIMCAS,IMCAS,WFCC MIRCEN
re3data: r3d100010448 , r3d100010448
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For further information contact us at helpdesk@openaire.eu - Data Repository United States Compatibility:Not yet registeredPartners:Zdaly, WorldData.AI, Zdaly, WorldData.AI Humanities and Social Sciences, Social Sciences, Political ScienceZdaly,WorldData.AI,Zdaly,WorldData.AI
re3data: r3d100013323 , r3d100013323
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For further information contact us at helpdesk@openaire.eu - Data Repository Mexico Compatibility:Not yet registeredPartners:INAH, INAH Humanities and Social Sciences, Ancient Cultures, PrehistoryINAH,INAH
re3data: r3d100013966
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For further information contact us at helpdesk@openaire.eu - Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK, Harvard Stem Cell Institute, Cambridge, MA, USA, Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK, Harvard Stem Cell Institute, Cambridge, MA, USA Life Science, Expression data, Stem cellOxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK,Harvard Stem Cell Institute, Cambridge, MA, USA,Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK,Harvard Stem Cell Institute, Cambridge, MA, USA
The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.
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