cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/plate/dr.3/plates/102_13143
title: Digital object identifier (DOI) for the plate 13143 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13144
title: Digital object identifier (DOI) for the plate 13144 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13145
title: Digital object identifier (DOI) for the plate 13145 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13146
title: Digital object identifier (DOI) for the plate 13146 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13147
title: Digital object identifier (DOI) for the plate 13147 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13148
title: Digital object identifier (DOI) for the plate 13148 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13149
title: Digital object identifier (DOI) for the plate 13149 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13150
title: Digital object identifier (DOI) for the plate 13150 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13151
title: Digital object identifier (DOI) for the plate 13151 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13152
title: Digital object identifier (DOI) for the plate 13152 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13153
title: Digital object identifier (DOI) for the plate 13153 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13154
title: Digital object identifier (DOI) for the plate 13154 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13155
title: Digital object identifier (DOI) for the plate 13155 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13156
title: Digital object identifier (DOI) for the plate 13156 in archive 102 from the APPLAUSE DR3
DOI: 10.18112/openneuro.ds004697.v1.0.0
title: Food and Brain Study
DOI: 10.17876/plate/dr.3/plates/102_13157
title: Digital object identifier (DOI) for the plate 13157 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13158
title: Digital object identifier (DOI) for the plate 13158 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13159
title: Digital object identifier (DOI) for the plate 13159 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13160
title: Digital object identifier (DOI) for the plate 13160 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13161
title: Digital object identifier (DOI) for the plate 13161 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13162
title: Digital object identifier (DOI) for the plate 13162 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13163
title: Digital object identifier (DOI) for the plate 13163 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13164
title: Digital object identifier (DOI) for the plate 13164 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13165
title: Digital object identifier (DOI) for the plate 13165 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13166
title: Digital object identifier (DOI) for the plate 13166 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13167
title: Digital object identifier (DOI) for the plate 13167 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13168
title: Digital object identifier (DOI) for the plate 13168 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13169
title: Digital object identifier (DOI) for the plate 13169 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13170
title: Digital object identifier (DOI) for the plate 13170 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13171
title: Digital object identifier (DOI) for the plate 13171 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13172
title: Digital object identifier (DOI) for the plate 13172 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13173
title: Digital object identifier (DOI) for the plate 13173 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13174
title: Digital object identifier (DOI) for the plate 13174 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13175
title: Digital object identifier (DOI) for the plate 13175 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13176
title: Digital object identifier (DOI) for the plate 13176 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13177
title: Digital object identifier (DOI) for the plate 13177 in archive 102 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/102_13178
title: Digital object identifier (DOI) for the plate 13178 in archive 102 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.12719990
title: Additional file 5 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 5. Table S4. Association Tests for Effects of Candidate SNPs, obtained via Literature Reviews, on Electronic Health Record-derived Obstructive Sleep Apnea (OSA).
DOI: 10.6084/m9.figshare.12719999.v1
title: Additional file 8 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 8. Table S7. Significant Results from Phenome-wide Studies Testing the Associations between Obstructive Sleep Apnoea Candidate SNPs and Other Clinical Codes and Lab Values.
DOI: 10.6084/m9.figshare.12719987
title: Additional file 4 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 4. Table S3. Logical Observation Identifier Names and Codes Mapped Median Laboratory Values Tested for Associations with OSA Candidate Variants.
DOI: 10.6084/m9.figshare.12719993.v1
title: Additional file 6 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 6. Table S5. Results of Interaction Tests for the Effects of Age, Sex and Body Mass Index on Associations between Candidate Variants and Obstructive Sleep Apnoea Diagnosis.
DOI: 10.6084/m9.figshare.12719996.v1
title: Additional file 7 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 7. Table S6. Results from Tests for Associations between Obstructive Sleep Apnea Candidate SNPs and Variables Obtained from Sleep Reports at Geisinger.
DOI: 10.6084/m9.figshare.12719984
title: Additional file 3 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 3. Table S2. International Classification of Diseases, Ninth Edition Codes and Corresponding PheCodes Tested for Associations with OSA Candidate Variants.
DOI: 10.6084/m9.figshare.12719990.v1
title: Additional file 5 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 5. Table S4. Association Tests for Effects of Candidate SNPs, obtained via Literature Reviews, on Electronic Health Record-derived Obstructive Sleep Apnea (OSA).
DOI: 10.6084/m9.figshare.12719981
title: Additional file 2 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 2. Table S1. Clinical Codes Used to Define Sleep Apnea.
DOI: 10.6084/m9.figshare.12719984.v1
title: Additional file 3 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 3. Table S2. International Classification of Diseases, Ninth Edition Codes and Corresponding PheCodes Tested for Associations with OSA Candidate Variants.
DOI: 10.6084/m9.figshare.12719987.v1
title: Additional file 4 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 4. Table S3. Logical Observation Identifier Names and Codes Mapped Median Laboratory Values Tested for Associations with OSA Candidate Variants.
DOI: 10.6084/m9.figshare.12719981.v1
title: Additional file 2 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 2. Table S1. Clinical Codes Used to Define Sleep Apnea.
DOI: 10.6084/m9.figshare.12719951
title: Additional file 2 of BRCAness digitalMLPA profiling predicts benefit of intensified platinum-based chemotherapy in triple-negative and luminal-type breast cancer

description: Additional file 2: Proble list digitalMLPA BRCAness probemix.
DOI: 10.6084/m9.figshare.12719951.v1
title: Additional file 2 of BRCAness digitalMLPA profiling predicts benefit of intensified platinum-based chemotherapy in triple-negative and luminal-type breast cancer

description: Additional file 2: Proble list digitalMLPA BRCAness probemix.
DOI: 10.6084/m9.figshare.12719825
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: <b>Flume tests on failure and runout mechanisms of tailing dams with different relative densities</b>
DOI: 10.6084/m9.figshare.12719843
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: Flume tests on failure and runout mechanisms of tailing dams with different relative densities
DOI: 10.6084/m9.figshare.12719843.v1
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: Flume tests on failure and runout mechanisms of tailing dams with different relative densities
DOI: 10.6084/m9.figshare.12719825.v1
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: <b>Flume tests on failure and runout mechanisms of tailing dams with different relative densities</b>
DOI: 10.6084/m9.figshare.12719813
title: Uranium in Animals, Vegetables and Minerals: Landscape Geochemical and Biogeochemical Expressions of the Four Mile West Sedimentary Uranium Deposit, South Australia

description: Biogeochemical dataset
DOI: 10.6084/m9.figshare.12719813.v1
title: Uranium in Animals, Vegetables and Minerals: Landscape Geochemical and Biogeochemical Expressions of the Four Mile West Sedimentary Uranium Deposit, South Australia

description: Biogeochemical dataset
DOI: 10.6084/m9.figshare.12719798
title: Phytoplankton size- and abundance-based resilience assessments reveal nutrient rather than water level effects

description: ## Data for the univariate species matrices (e.g species richness, evenness) and the four resilience indicators (e.g number of scales, within scale) calculated from the size and bio volume data are shown rows 1-157.<br><br>### Data for the time integrated taxa composition are shown in row 158-182. <br>
DOI: 10.6084/m9.figshare.12719741
title: Paper Data

description: Raw data from <i>An investigation into factors driving extreme views and behaviour</i>
DOI: 10.6084/m9.figshare.12719741.v1
title: Paper Data

description: Raw data from <i>An investigation into factors driving extreme views and behaviour</i>
DOI: 10.6084/m9.figshare.12719798.v1
title: Phytoplankton size- and abundance-based resilience assessments reveal nutrient rather than water level effects

description: ## Data for the univariate species matrices (e.g species richness, evenness) and the four resilience indicators (e.g number of scales, within scale) calculated from the size and bio volume data are shown rows 1-157.<br><br>### Data for the time integrated taxa composition are shown in row 158-182. <br>
DOI: 10.6084/m9.figshare.12719693
title: Strawberry_Fields_Crop_Rows_Dataset.zip

description: RGB images and Annotated Images under training and testing folder for semantic segmentation used for crop row guidance.
DOI: 10.6084/m9.figshare.12719678.v1
title: Minimal_Data_Set

description: Zipped filed containing all data used to generate figures and tables.<br>
DOI: 10.6084/m9.figshare.12717140
title: Renin–angiotensin system and macrophage lipid metabolism

description: Renin–angiotensin system impairs macrophage lipid metabolism to promote age-related macular degeneration in mouse models
DOI: 10.6084/m9.figshare.12717680
title: Haplotypes using SNPs from chromosome 13

description: Excel File containing information about the alleles from the SNPs obtained from GWAS to Meloidogyne javanica in USDA collection and in 317 soybean accessions. Also, this file contained the haplotypes in a subset of soybean with WGS data available.
DOI: 10.6084/m9.figshare.12717036
title: PaperNotebook clean June2020.nb from Factors favouring the evolution of multidrug resistance in bacteria

description: The evolution of multidrug antibiotic resistance in commensal bacteria is an important public health concern. Commensal bacteria such as <i>Escherichia coli</i>, <i>Streptococcus pneumoniae</i> or <i>Staphylococcus aureus</i>, are also opportunistic pathogens causing a large fraction of the community-acquired and hospital-acquired bacterial infections. Multidrug resistance (MDR) makes these infections harder to treat with antibiotics and may thus cause substantial additional morbidity and mortality. Here, we develop an evolutionary epidemiology model to identify the factors favouring the evolution of MDR in commensal bacteria. The model describes the evolution of antibiotic resistance in a commensal bacterial species evolving in a host population subjected to multiple antibiotic treatments. We combine statistical analysis of a large number of simulations and mathematical analysis to understand the model behaviour. We find that MDR evolves more readily when it is less costly than expected from the combinations of single resistances (negative epistasis). MDR frequently evolves when bacteria are in contact with multiple drugs prescribed in the host population, even if individual hosts are only treated with a single drug at a time. MDR is favoured when the host population is structured in different classes that vary in their rates of antibiotic treatment. However, under most circumstances, recombination between loci involved in resistance does not meaningfully affect the equilibrium frequency of MDR. Together, these results suggest that MDR is a frequent evolutionary outcome in commensal bacteria that encounter the variety of antibiotics prescribed in the host population. A better characterization of the variability in antibiotic use across the host population (e.g. across age classes or geographical location) would help predict which MDR genotypes will most readily evolve.
DOI: 10.6084/m9.figshare.12717036.v1
title: PaperNotebook clean June2020.nb from Factors favouring the evolution of multidrug resistance in bacteria

description: The evolution of multidrug antibiotic resistance in commensal bacteria is an important public health concern. Commensal bacteria such as <i>Escherichia coli</i>, <i>Streptococcus pneumoniae</i> or <i>Staphylococcus aureus</i>, are also opportunistic pathogens causing a large fraction of the community-acquired and hospital-acquired bacterial infections. Multidrug resistance (MDR) makes these infections harder to treat with antibiotics and may thus cause substantial additional morbidity and mortality. Here, we develop an evolutionary epidemiology model to identify the factors favouring the evolution of MDR in commensal bacteria. The model describes the evolution of antibiotic resistance in a commensal bacterial species evolving in a host population subjected to multiple antibiotic treatments. We combine statistical analysis of a large number of simulations and mathematical analysis to understand the model behaviour. We find that MDR evolves more readily when it is less costly than expected from the combinations of single resistances (negative epistasis). MDR frequently evolves when bacteria are in contact with multiple drugs prescribed in the host population, even if individual hosts are only treated with a single drug at a time. MDR is favoured when the host population is structured in different classes that vary in their rates of antibiotic treatment. However, under most circumstances, recombination between loci involved in resistance does not meaningfully affect the equilibrium frequency of MDR. Together, these results suggest that MDR is a frequent evolutionary outcome in commensal bacteria that encounter the variety of antibiotics prescribed in the host population. A better characterization of the variability in antibiotic use across the host population (e.g. across age classes or geographical location) would help predict which MDR genotypes will most readily evolve.
DOI: 10.6084/m9.figshare.12717140.v1
title: Renin–angiotensin system impairs macrophage lipid metabolism to promote age-related macular degeneration in mouse models

description: Renin–angiotensin system impairs macrophage lipid metabolism to promote age-related macular degeneration in mouse models
DOI: 10.6084/m9.figshare.12717140.v3
title: Renin–angiotensin system and macrophage lipid metabolism

description: Renin–angiotensin system impairs macrophage lipid metabolism to promote age-related macular degeneration in mouse models
DOI: 10.6084/m9.figshare.12717140.v2
title: Renin–angiotensin system and macrophage lipid metabolism

description: Renin–angiotensin system impairs macrophage lipid metabolism to promote age-related macular degeneration in mouse models
DOI: 10.6084/m9.figshare.12717005
title: Data from Natural geochemical markers reveal environmental history and population connectivity of common cuttlefish in the Atlantic Ocean and Mediterranean Sea

description: Natural markers (δ<sup>13</sup>C and δ<sup>18</sup>O stable isotopes) in the cuttlebones of the European common cuttlefish (<i>Sepia officinalis</i>) were determined for individuals collected across a substantial portion of their range in the Northeast Atlantic Ocean (NEAO) and Mediterranean Sea. Cuttlebone δ<sup>13</sup>C and δ<sup>18</sup>O were quantified for core and edge material to characterize geochemical signatures associated with early (juvenile) and recent (sub-adult/adult) life-history periods, respectively. Regional shifts in cuttlebone δ<sup>13</sup>C and δ<sup>18</sup>O values were detected across the 12 sites investigated. Individuals collected from sites in the NEAO displayed more enriched δ<sup>13</sup>C and δ<sup>18</sup>O values relative to sites in the Mediterranean Sea, with the latter also showing salient differences in both markers among western, central and eastern collection areas. Classification success based on cuttlebone δ<sup>13</sup>C and δ<sup>18</sup>O values to four geographical regions (NEAO, western, central and eastern Mediterranean Sea) was relatively high, suggesting that environmental conditions in each region were distinct and produced area-specific geochemical signatures on the cuttlebones of <i>S. officinalis</i>. A modified δ<sup>13</sup>C and δ<sup>18</sup>O baseline was developed from sites proximal to the Strait of Gibraltar in both the NEAO and Mediterranean Sea to assess potential mixing through this corridor. Nearly, all (95%) of δ<sup>13</sup>C and δ<sup>18</sup>O signatures of <i>S. officinalis</i> collected in the area of the NEAO closest to the Strait of Gibraltar (Gulf of Cadiz) matched the signatures of specimens collected in the western Mediterranean, signifying potential movement and mixing of individuals through this passageway. This study extends the current application of these geochemical markers for assessing the natal origin and population connectivity of this species and potentially other taxa that inhabit this geographical area.
DOI: 10.6084/m9.figshare.12717005.v1
title: Data from Natural geochemical markers reveal environmental history and population connectivity of common cuttlefish in the Atlantic Ocean and Mediterranean Sea

description: Natural markers (δ<sup>13</sup>C and δ<sup>18</sup>O stable isotopes) in the cuttlebones of the European common cuttlefish (<i>Sepia officinalis</i>) were determined for individuals collected across a substantial portion of their range in the Northeast Atlantic Ocean (NEAO) and Mediterranean Sea. Cuttlebone δ<sup>13</sup>C and δ<sup>18</sup>O were quantified for core and edge material to characterize geochemical signatures associated with early (juvenile) and recent (sub-adult/adult) life-history periods, respectively. Regional shifts in cuttlebone δ<sup>13</sup>C and δ<sup>18</sup>O values were detected across the 12 sites investigated. Individuals collected from sites in the NEAO displayed more enriched δ<sup>13</sup>C and δ<sup>18</sup>O values relative to sites in the Mediterranean Sea, with the latter also showing salient differences in both markers among western, central and eastern collection areas. Classification success based on cuttlebone δ<sup>13</sup>C and δ<sup>18</sup>O values to four geographical regions (NEAO, western, central and eastern Mediterranean Sea) was relatively high, suggesting that environmental conditions in each region were distinct and produced area-specific geochemical signatures on the cuttlebones of <i>S. officinalis</i>. A modified δ<sup>13</sup>C and δ<sup>18</sup>O baseline was developed from sites proximal to the Strait of Gibraltar in both the NEAO and Mediterranean Sea to assess potential mixing through this corridor. Nearly, all (95%) of δ<sup>13</sup>C and δ<sup>18</sup>O signatures of <i>S. officinalis</i> collected in the area of the NEAO closest to the Strait of Gibraltar (Gulf of Cadiz) matched the signatures of specimens collected in the western Mediterranean, signifying potential movement and mixing of individuals through this passageway. This study extends the current application of these geochemical markers for assessing the natal origin and population connectivity of this species and potentially other taxa that inhabit this geographical area.
DOI: 10.6084/m9.figshare.12716786
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: Flume tests on failure and runout mechanisms of tailing dams with different relative densities
DOI: 10.6084/m9.figshare.12716801
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: Flume tests on failure and runout mechanisms of tailing dams with different relative densities
DOI: 10.6084/m9.figshare.12716801.v1
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: Flume tests on failure and runout mechanisms of tailing dams with different relative densities
DOI: 10.6084/m9.figshare.12716786.v2
title: Flume tests on failure and runout mechanisms of tailing dams with different relative densities

description: Flume tests on failure and runout mechanisms of tailing dams with different relative densities
DOI: 10.6084/m9.figshare.12716786.v1
title: data without curve.xlsx

description: this is the original data
DOI: 10.6084/m9.figshare.12715493
title: Data & Code for "Verification of a resetting protocol for an uncontrolled superconducting qubit"

description: Data & Code for "Verification of a resetting protocol for an uncontrolled superconducting qubit" (https://arxiv.org/abs/1911.12536).
DOI: 10.6084/m9.figshare.12715451
title: Dataset for "Non-Newtonian Pulsatile Blood Flow through Different Idealized End-to-Side Artery Bypass Graft Models: Large Eddy Simulation Study"

description: This dataset provide a comprehensive understanding about the research done in the article "Non-Newtonian Pulsatile Blood Flow through Different Idealized End-to-Side Artery Bypass Graft Models: Large Eddy Simulation Study".<br>