8,860 Data sources

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National Geothermal Data System
Data Repository United States Compatibility:Not yet registeredPartners:U.S. Department of Energy, Geothermal Technologies Office, DOI, NGDS Partners, Southern Methodist University, Geothermal Laboratory, AASG +2 partners Natural Sciences, Geology and Palaeontology, Geophysics and Geodesy
U.S. Department of Energy, Geothermal Technologies Office,
DOI,
NGDS Partners,
Southern Methodist University, Geothermal Laboratory,
AASG,
Amridge University,
Open Energy Information, Geothermal Data Repository
re3data: r3d100011016
re3data: r3d100011016
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City of Greater Sudbury Open Data Portal
Data Repository Canada Compatibility:Not yet registeredPartners:City of Greater Sudbury Humanities and Social Sciences, Social Sciences, Social and Behavioural Sciences
City of Greater Sudbury
re3data: r3d100012979
re3data: r3d100012979
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LifeWatch ERIC. Biodiversity and Ecosystem Virtual Research Environments (BER_VREs)
Data Repository Spain Compatibility:Not yet registeredPartners:LifeWatch ERIC Bioinformatics, Taxonomy, Biodiversity
LifeWatch ERIC
LW ERIC is the e-Science European Research Infrastructure for Biodiversity and Ecosystem Research. It provides access to a multitude of datasets, e-Services and tools enabling the construction and operation of Virtual Research Environments (VREs) through innovative technologies, which permit the accelerated capture of data, their analysis and knowledge-based decision-making support for biodiversity and ecosystem management. It can be split into 2 groups of services: BER_e-Infra & BER_VREs. BER_VREs consists of 3 cutting-edge technologies: LifeBlock, a Blockchain technology for transparency and immutability, guaranteeing FAIR-compliant data. Tesseract, the technical composability layer to integrate web services, enabling the development of VREs for users to combine and arrange services and software into multiple workflows. The Artificial Intelligence virtual laboratory (vLab), an online service allowing users to locate others working on similar subjects and the hubs that link them. Within BiCiKL, LW ERIC will support virtual access to BER_VREs.
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DigitalCommons@Fayetteville State University

Institutional Repository United States Compatibility:Not yet registeredPartners:FSU

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Auburn University Digital Collections

Institutional Repository United States Compatibility:Not yet registeredPartners:AU

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kilthub figshare
Data Repository United States Compatibility:Not yet registeredPartners:figshare, CMU Humanities and Social Sciences, Humanities and Social Sciences, Life Sciences
figshare,
CMU
re3data: r3d100012532
re3data: r3d100012532
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GallusReactome
Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:EBI, NYU Langone Health, NYU School of Medicine, UD, DOI, NCHGR Life Sciences, Microbiology, Virology and Immunology, Metabolism, Biochemistry and Genetics of Microorganisms
EBI,
NYU Langone Health, NYU School of Medicine,
UD,
DOI,
NCHGR
re3data: r3d100012230
re3data: r3d100012230
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mirDNMR
Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:WMC Biomedical Science, mutation analysis, mutation
WMC
doi: 10.25504/fairsharing.68f4xz
doi: 10.25504/fairsharing.68f4xz
mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.
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UCSD Signaling gateway
Data Repository United States Compatibility:collected from a compatible aggregatorPartners:NIGMS, SDSC, UCSD Biology, Plant Sciences, Basic Biological and Medical Research
NIGMS,
SDSC,
UCSD
doi: 10.25504/fairsharing.zf8s5t
re3data: r3d100011690
doi: 10.25504/fairsharing.zf8s5t
re3data: r3d100011690
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OPUS-Datenbak Würzburg-Schweinfurt

Institutional Repository Germany Compatibility:Not yet registeredPartners:FHWS

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8,860 Data sources

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National Geothermal Data System
Data Repository United States Compatibility:Not yet registeredPartners:U.S. Department of Energy, Geothermal Technologies Office, DOI, NGDS Partners, Southern Methodist University, Geothermal Laboratory, AASG +2 partners Natural Sciences, Geology and Palaeontology, Geophysics and Geodesy
U.S. Department of Energy, Geothermal Technologies Office,
DOI,
NGDS Partners,
Southern Methodist University, Geothermal Laboratory,
AASG,
Amridge University,
Open Energy Information, Geothermal Data Repository
re3data: r3d100011016
re3data: r3d100011016
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City of Greater Sudbury Open Data Portal
Data Repository Canada Compatibility:Not yet registeredPartners:City of Greater Sudbury Humanities and Social Sciences, Social Sciences, Social and Behavioural Sciences
City of Greater Sudbury
re3data: r3d100012979
re3data: r3d100012979
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LifeWatch ERIC. Biodiversity and Ecosystem Virtual Research Environments (BER_VREs)
Data Repository Spain Compatibility:Not yet registeredPartners:LifeWatch ERIC Bioinformatics, Taxonomy, Biodiversity
LifeWatch ERIC
LW ERIC is the e-Science European Research Infrastructure for Biodiversity and Ecosystem Research. It provides access to a multitude of datasets, e-Services and tools enabling the construction and operation of Virtual Research Environments (VREs) through innovative technologies, which permit the accelerated capture of data, their analysis and knowledge-based decision-making support for biodiversity and ecosystem management. It can be split into 2 groups of services: BER_e-Infra & BER_VREs. BER_VREs consists of 3 cutting-edge technologies: LifeBlock, a Blockchain technology for transparency and immutability, guaranteeing FAIR-compliant data. Tesseract, the technical composability layer to integrate web services, enabling the development of VREs for users to combine and arrange services and software into multiple workflows. The Artificial Intelligence virtual laboratory (vLab), an online service allowing users to locate others working on similar subjects and the hubs that link them. Within BiCiKL, LW ERIC will support virtual access to BER_VREs.
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DigitalCommons@Fayetteville State University

Institutional Repository United States Compatibility:Not yet registeredPartners:FSU

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Auburn University Digital Collections

Institutional Repository United States Compatibility:Not yet registeredPartners:AU

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kilthub figshare
Data Repository United States Compatibility:Not yet registeredPartners:figshare, CMU Humanities and Social Sciences, Humanities and Social Sciences, Life Sciences
figshare,
CMU
re3data: r3d100012532
re3data: r3d100012532
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GallusReactome
Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:EBI, NYU Langone Health, NYU School of Medicine, UD, DOI, NCHGR Life Sciences, Microbiology, Virology and Immunology, Metabolism, Biochemistry and Genetics of Microorganisms
EBI,
NYU Langone Health, NYU School of Medicine,
UD,
DOI,
NCHGR
re3data: r3d100012230
re3data: r3d100012230
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mirDNMR
Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:WMC Biomedical Science, mutation analysis, mutation
WMC
doi: 10.25504/fairsharing.68f4xz
doi: 10.25504/fairsharing.68f4xz
mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.
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UCSD Signaling gateway
Data Repository United States Compatibility:collected from a compatible aggregatorPartners:NIGMS, SDSC, UCSD Biology, Plant Sciences, Basic Biological and Medical Research
NIGMS,
SDSC,
UCSD
doi: 10.25504/fairsharing.zf8s5t
re3data: r3d100011690
doi: 10.25504/fairsharing.zf8s5t
re3data: r3d100011690
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OPUS-Datenbak Würzburg-Schweinfurt

Institutional Repository Germany Compatibility:Not yet registeredPartners:FHWS

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US
ES
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CN
FR
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National Geothermal Data System

City of Greater Sudbury Open Data Portal

LifeWatch ERIC. Biodiversity and Ecosystem Virtual Research Environments (BER_VREs)

DigitalCommons@Fayetteville State University

Auburn University Digital Collections

kilthub figshare

GallusReactome

mirDNMR

UCSD Signaling gateway

OPUS-Datenbak Würzburg-Schweinfurt

National Geothermal Data System

City of Greater Sudbury Open Data Portal

LifeWatch ERIC. Biodiversity and Ecosystem Virtual Research Environments (BER_VREs)

DigitalCommons@Fayetteville State University

Auburn University Digital Collections

kilthub figshare

GallusReactome

mirDNMR

UCSD Signaling gateway

OPUS-Datenbak Würzburg-Schweinfurt

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