cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6815699.v4
title: JARVIS-DFT 3D dataset (jdft_3d.json)

description: https://www.ctcms.nist.gov/~knc6/JVASP.html<br><br>The Density functional theory section of JARVIS (JARVIS-DFT) consists of thousands of VASP based calculations for 3D-bulk, single layer (2D), nanowire (1D) and molecular (0D) systems. Most of the calculations are carried out with optB88vDW functional. JARVIS-DFT includes materials data such as: energetics, diffraction pattern, radial distribution function, band-structure, density of states, carrier effective mass, temperature and carrier concentration dependent thermoelectric properties, elastic constants and gamma-point phonons.
DOI: 10.17028/rd.lboro.6815618
title: Youtube resources for biomechanists

description: This document is a list of current Youtube resources for biomechanists to review previous conference keynote speaker presentations as well as several shorter links which could be used as part of student teaching or outreach activities with the general public. <br>This list will be updated as resources become available: any suggestions to be directed to L.A.M.Furlong@lboro.ac.uk
DOI: 10.17028/rd.lboro.6815618.v1
title: Youtube resources for biomechanists

description: This document is a list of current Youtube resources for biomechanists to review previous conference keynote speaker presentations as well as several shorter links which could be used as part of student teaching or outreach activities with the general public. <br>This list will be updated as resources become available: any suggestions to be directed to L.A.M.Furlong@lboro.ac.uk
DOI: 10.6084/m9.figshare.6815609
title: Oxygen Saturation Variability Analysis

description: This database contains one hour oxygen saturation (SpO2) measurements of 36 patients, used for the analysis of oxygen saturation variability. The Ascii (.txt) files contain the raw data of SpO2 recorded with a sampling rate of 1/s. The attached excel file "Participant characteristics" contains anonymised participant information. Detailed analysis of this data is published on Frontiers Physiology.<br>
DOI: 10.6084/m9.figshare.6815588
title: Code from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815588.v1
title: Code from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815582
title: Phylogeny from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815585
title: Supplementary Tables from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815582.v1
title: Phylogeny from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815585.v1
title: Supplementary Tables from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815576
title: Drongo trade-off data

description: Trade-off between parenting and mating effort<br>
DOI: 10.6084/m9.figshare.6815579
title: Raw Data from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815579.v1
title: Raw Data from Climatic factors and species range position predict sexually antagonistic selection across taxa

description: Sex differences in selection are ubiquitous in sexually reproducing organisms. When the genetic basis of traits is shared between the sexes, such sexually antagonistic selection (SAS) creates a potential constraint on adaptive evolution. Theory and laboratory experiments suggest that environmental variation and the degree of local adaptation may all affect the frequency and intensity of SAS. Here, we capitalize on a large database of over 700 spatially or temporally replicated estimates of sex-specific phenotypic selection from wild populations, combined with data on microclimates and geographical range information. We performed a meta-analysis to test three predictions from SAS theory, that selection becomes more concordant between males and females: (1) in more stressful environments, (2) in more variable environments and (3) closer to the edge of the species' range. We find partial empirical support for all three predictions. Within-study analyses indicate SAS decreases in extreme environments, as indicated by a relationship with maximum temperature, minimum precipitation and evaporative potential (PET). Across studies, we found that the average level of SAS at high latitudes was lower, where environmental conditions are typically less stable. Finally, we found evidence for reduced SAS in populations that are far from the centre of their geographical range. However, and notably, we also found some evidence of reduced average strength of selection in these populations, which is in contrast to predictions from classical theoretical models on range limit evolution. Our results suggest that environmental lability and species range position predictably influence sex-specific selection and sexual antagonism in the wild. This article is part of the theme issue ‘Linking local adaptation with the evolution of sex differences’.
DOI: 10.6084/m9.figshare.6815576.v1
title: Drongo trade-off data

description: Trade-off between parenting and mating effort<br>
DOI: 10.6084/m9.figshare.6815357
title: Breast cancer rates by stage and household income percentile, New York State, 2006-2015

description: This file contains measured and modeled breast cancer rates by stage and median household income percentile in New York State, 2006-2015. It accompanies the book chapter, "Spatial and Contextual Analyses of Stage at Diagnosis" by Francis Boscoe and Lindsey Hutchison, in <i>Geospatial Approaches to Energy Balance and Breast Cancer</i>. D Berrigan, NA Berger, eds. Berlin: Springer, 2018..<br>4,835 census tracts in New York State were divided into percentiles based on median household income, using data from the 2006-2010 and 2011-2015 editions of American Community Survey Table S1903. Census tracts are defined here:<br>https://figshare.com/articles/Population_Estimates_by_Census_Tract_New_York_State_by_Age_and_Sex_1990-2016_/6813029<br>58 of the 4,893 census tracts in this file did not have households (primarily college campuses, prisons, and military bases) and thus had no reported median household income and were excluded, leaving 4,835.<br>200,022 cases of breast cancer diagnosed among New York State residents from 2006-2015 were assigned an income percentile. Cases diagnosed between 2006-2010 were assigned based on the 2006-2010 edition of ACS Table S1903 and cases diagnosed between 2011-2015 were assigned based on the 2011-2015 edition.<br>Directly-adjusted incidence rates were calculated for all cancers and for those diagnosed at in situ, local, regional, and distant stage, using the SEER Summary Stage 2000 staging system. <br><br>The file contains the following fields: income percentile; rates for all cancers, in situ, local, regional, and distant stage; and modeled rates for all cancers, in situ, local, regional and distant stages. The modeled rates used a polynomial of order 3. The equations of the best-fit lines and r-squared values, to 4 decimal places or significant figures, are as follows:<br>All cancers: y = 0.0001986x<sup>3 </sup>- 0.02035x<sup>2 </sup>+ 1.0691x + 133.7353, r<sup>2</sup> = 0.96<br>In situ: y = 0.00008906x<sup>3 </sup>- 0.007555x<sup>2 </sup>+ 0.3169x + 27.5728, r<sup>2</sup> = 0.96<br>Local: y = 0.0001436x<sup>3 </sup>- 0.01919x<sup>2 </sup>+ 1.0526x + 58.4627, r<sup>2</sup> = 0.94<br>Regional: y = -0.00001676x<sup>3 </sup>+ 0.003410x<sup>2 </sup>- 0.1389x + 37.6709, r<sup>2</sup> = 0.41<br>Distant: y = -0.00001724x<sup>3 </sup>+ 0.002989x<sup>2 </sup>- 0.1615x + 10.0288, r<sup>2</sup> = 0.32<br><br>
DOI: 10.6084/m9.figshare.6815357.v1
title: Breast cancer rates by stage and household income percentile, New York State, 2006-2015

description: This file contains measured and modeled breast cancer rates by stage and median household income percentile in New York State, 2006-2015. It accompanies the book chapter, "Spatial and Contextual Analyses of Stage at Diagnosis" by Francis Boscoe and Lindsey Hutchison, in <i>Geospatial Approaches to Energy Balance and Breast Cancer</i>. D Berrigan, NA Berger, eds. Berlin: Springer, 2018..<br>4,835 census tracts in New York State were divided into percentiles based on median household income, using data from the 2006-2010 and 2011-2015 editions of American Community Survey Table S1903. Census tracts are defined here:<br>https://figshare.com/articles/Population_Estimates_by_Census_Tract_New_York_State_by_Age_and_Sex_1990-2016_/6813029<br>58 of the 4,893 census tracts in this file did not have households (primarily college campuses, prisons, and military bases) and thus had no reported median household income and were excluded, leaving 4,835.<br>200,022 cases of breast cancer diagnosed among New York State residents from 2006-2015 were assigned an income percentile. Cases diagnosed between 2006-2010 were assigned based on the 2006-2010 edition of ACS Table S1903 and cases diagnosed between 2011-2015 were assigned based on the 2011-2015 edition.<br>Directly-adjusted incidence rates were calculated for all cancers and for those diagnosed at in situ, local, regional, and distant stage, using the SEER Summary Stage 2000 staging system. <br><br>The file contains the following fields: income percentile; rates for all cancers, in situ, local, regional, and distant stage; and modeled rates for all cancers, in situ, local, regional and distant stages. The modeled rates used a polynomial of order 3. The equations of the best-fit lines and r-squared values, to 4 decimal places or significant figures, are as follows:<br>All cancers: y = 0.0001986x<sup>3 </sup>- 0.02035x<sup>2 </sup>+ 1.0691x + 133.7353, r<sup>2</sup> = 0.96<br>In situ: y = 0.00008906x<sup>3 </sup>- 0.007555x<sup>2 </sup>+ 0.3169x + 27.5728, r<sup>2</sup> = 0.96<br>Local: y = 0.0001436x<sup>3 </sup>- 0.01919x<sup>2 </sup>+ 1.0526x + 58.4627, r<sup>2</sup> = 0.94<br>Regional: y = -0.00001676x<sup>3 </sup>+ 0.003410x<sup>2 </sup>- 0.1389x + 37.6709, r<sup>2</sup> = 0.41<br>Distant: y = -0.00001724x<sup>3 </sup>+ 0.002989x<sup>2 </sup>- 0.1615x + 10.0288, r<sup>2</sup> = 0.32<br><br>