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91 to 100 of 346 Results
results.tab
Nov 11, 2025 - Public survey data of the research study “Ready for change? Sustainable management of common natural resources”: Thematic survey of May 2020
Tabular Data - 27.6 KB - 62 Variables, 206 Observations - UNF:6:gvMZZkGIL7lBFyzTrH0AYw==
survey results
01_Traits.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
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This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
02_CorrelationAnalysisData_RiskFactor.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
03_CorrelationAnalysisData_FIQT.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
04_MTSNV_associaions_RiskFactor_noCovariate_Frequentist.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
05_MTSNV_associaions_RiskFactor_noCovariate_Bayesian.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
06_MTSNV_associaions_RiskFactor_noCovariate_Frequentist_AgeSexArray.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
07_MTSNV_associaions_FIQT_Frequentist_AgeSexArray.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
08_MTSNV_associaions_RiskFactors_Bayesian_AgeSexArray.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
10_MTSNV_associaions_RiskFactor_Frequentist_AgeSexArrayPC1-2.tab
Nov 1, 2025 - Comprehensive Analysis of the Mitochondrial DNA Variants Using Multivariate Covariate and Multiple-Testing Models to Enhance Reliability Reveals Potential Associations with Coronary Artery Disease Traits and Dietary Preferences
Tab-Delimited
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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