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- Data Repository Italy, United Kingdom Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:UniMiB, MENDELEY Humanities and Social Sciences, Life Sciences, Natural SciencesUniMiB,MENDELEY
re3data: r3d100013433
OAI-PMH URL: https://board.unimib.it/oaiBicocca Open Archive Research Data
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Mouse gene expression database
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For further information contact us at helpdesk@openaire.eu - Data Repository France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:ILL Natural Sciences, Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas, PhysicsILL
re3data: r3d100012072
OAI-PMH URL: https://fairdata.ill.fr/openaire/oaiIn order to control access to the experimental data obtained at the ILL in a coherent and secure fashion, the ILL has developed a portal for consulting, downloading and managing your data. Here “data” is understood to mean raw data, processed data, and meta-data (e.g. log files or “logs”).
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For further information contact us at helpdesk@openaire.eu - Data Repository France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:UNIVERSITE GUSTAVE EIFFEL Natural Sciences, Construction Engineering and Architecture, Construction Engineering and ArchitectureUNIVERSITE GUSTAVE EIFFEL
Ifsttar Dataverse is an institutional repository for research data of Ifsttar : it catalogues research data in the field of transports, spatial planning and civil engineering.
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Citizen science in data and resource-limited areas: a tool to detect long-term ecosystem changes
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For further information contact us at helpdesk@openaire.eu - Institutional Repository France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:CIRAD Environmental Science, Agriculture, Life ScienceCIRADOAI-PMH URL: https://dataverse.cirad.fr/oai
The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.
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- Data Repository Italy, United Kingdom Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:UniMiB, MENDELEY Humanities and Social Sciences, Life Sciences, Natural SciencesUniMiB,MENDELEY
re3data: r3d100013433
OAI-PMH URL: https://board.unimib.it/oaiBicocca Open Archive Research Data
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re3data: r3d100010564
Mouse gene expression database
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For further information contact us at helpdesk@openaire.eu - Data Repository France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:ILL Natural Sciences, Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas, PhysicsILL
re3data: r3d100012072
OAI-PMH URL: https://fairdata.ill.fr/openaire/oaiIn order to control access to the experimental data obtained at the ILL in a coherent and secure fashion, the ILL has developed a portal for consulting, downloading and managing your data. Here “data” is understood to mean raw data, processed data, and meta-data (e.g. log files or “logs”).
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Ifsttar Dataverse is an institutional repository for research data of Ifsttar : it catalogues research data in the field of transports, spatial planning and civil engineering.
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Citizen science in data and resource-limited areas: a tool to detect long-term ecosystem changes
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For further information contact us at helpdesk@openaire.eu - Institutional Repository France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:CIRAD Environmental Science, Agriculture, Life ScienceCIRADOAI-PMH URL: https://dataverse.cirad.fr/oai
The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.
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