cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9462347.v2
title: Dataset S4 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia.

description: δ<sup>13</sup>C<sub>col</sub> and δ<sup>15</sup>N<sub>col</sub> values from samples of bone collagen from domesticated and wild herbivores and humans, including modern steppe tortoise
DOI: 10.6084/m9.figshare.9462350
title: Dataset S1 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia.

description: Sample and reference mitochondrial cytochrome b sequences (110 - bp) in FASTA format
DOI: 10.6084/m9.figshare.9462356.v2
title: Dataset S3 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia.

description: δ<sup>13</sup>C<sub>apa</sub> and δ<sup>18</sup>O<sub>apa</sub> values and incremental distances of tooth enamel samples from domesticated and wild herbivores
DOI: 10.6084/m9.figshare.9462347.v1
title: Dataset S4 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia

description: δ<sup>13</sup>C<sub>col</sub> and δ<sup>15</sup>N<sub>col</sub> values from samples of bone collagen from domesticated and wild herbivores and humans, including modern steppe tortoise
DOI: 10.6084/m9.figshare.9462356.v1
title: Dataset S3 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia

description: δ<sup>13</sup>C<sub>apa</sub> and δ<sup>18</sup>O<sub>apa</sub> values and incremental distances of tooth enamel samples from domesticated and wild herbivores
DOI: 10.6084/m9.figshare.9462350.v2
title: Dataset S1 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia.

description: Sample and reference mitochondrial cytochrome b sequences (110 - bp) in FASTA format
DOI: 10.6084/m9.figshare.9462341.v1
title: Dataset S2 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia

description: δ<sup>13</sup>C values of broomcorn millet leaves and reference taxa displayed in Fig. 3, including corrections used to account for Suess effect for modern samples and trophic level enrichment between dietary sources and tissues
DOI: 10.6084/m9.figshare.9462350.v1
title: Dataset S1 from Early integration of pastoralism and millet cultivation in Bronze Age Eurasia

description: Sample and reference mitochondrial cytochrome b sequences (110 - bp) in FASTA format
DOI: 10.6084/m9.figshare.9466424
title: Supporting data file - sensitivity analysis from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466424.v2
title: Supporting data file - sensitivity analysis from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466418
title: Supporting data file - larval density from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466424.v1
title: Supporting data file - sensitivity analysis from Dispersal and population connectivity are phenotype dependent in a marine metapopulation

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling; (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae; and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466421
title: Supporting data file - larval traits from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466418.v2
title: Supporting data file - larval density from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466421.v2
title: Supporting data file - larval traits from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466427
title: Supporting data file - size at age from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466430
title: Supporting data file - model output from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466418.v1
title: Supporting data file - larval density from Dispersal and population connectivity are phenotype dependent in a marine metapopulation

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling; (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae; and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466421.v1
title: Supporting data file - larval traits from Dispersal and population connectivity are phenotype dependent in a marine metapopulation

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling; (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae; and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.
DOI: 10.6084/m9.figshare.9466412
title: Supporting data file - MixedMigration from Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

description: Larval dispersal is a key process determining population connectivity, metapopulation dynamics, and community structure in benthic marine ecosystems, yet the biophysical complexity of dispersal is not well understood. In this study, we investigate the interaction between disperser phenotype and hydrodynamics on larval dispersal pathways, using a temperate reef fish species, <i>Trachinops caudimaculatus</i>. We assessed the influence of larval traits on depth distribution and dispersal outcomes by: (i) using 24-h depth-stratified ichthyoplankton sampling, (ii) quantifying individual phenotypes using larval growth histories extracted from the sagittal otoliths of individual larvae, and (iii) simulating potential dispersal outcomes based on the empirical distribution of larval phenotypes and an advanced biological-physical ocean model. We found <i>T. caudimaculatus</i> larvae were vertically stratified with respect to phenotype, with high-quality phenotypes found in the bottom two depth strata, and poor-quality phenotypes found primarily at the surface. Our model showed high- and average-quality larvae experienced significantly higher local retention (more than double) and self-recruitment, and travelled shorter distances relative to poor-quality larvae. As populations are only connected when dispersers survive long enough to reproduce, determining how larval phenotype influences dispersal outcomes will be important for improving our understanding of marine population connectivity and persistence.