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2,772 Data sources

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  • PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.

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  • Quetelet-Progedo is Progedo's data repository dedicated to quantitative social sciences and humanities. Its data collection currently includes administrative, survey (aggregate- and individual-level), geographic, and historical data that cover a wide range of themes such as education, labour, wages, demography, family, health, migration, etc. These data have primarily been produced by French government agencies (notably the French National Institute of Statistics and Economic Studies (INSEE)[5] and, more recently, by academic researchers. Quetelet-Progedo, as a product of Progedo, has been jointly funded by the French Ministry of Higher Education and Research and the CNRS. Please note that the majority of the data and documentation is in French.

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  • KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.

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2,772 Data sources
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  • PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.

    more_vert
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  • Quetelet-Progedo is Progedo's data repository dedicated to quantitative social sciences and humanities. Its data collection currently includes administrative, survey (aggregate- and individual-level), geographic, and historical data that cover a wide range of themes such as education, labour, wages, demography, family, health, migration, etc. These data have primarily been produced by French government agencies (notably the French National Institute of Statistics and Economic Studies (INSEE)[5] and, more recently, by academic researchers. Quetelet-Progedo, as a product of Progedo, has been jointly funded by the French Ministry of Higher Education and Research and the CNRS. Please note that the majority of the data and documentation is in French.

    more_vert
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  • KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.

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