cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.26ubys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scandentia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 0,-90 0,-90 30,-120 30,-120 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049798-250920141307145/datasets/export for details.
DOI: 10.15468/dl.2n3je4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peramelemorphia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -30,90 -30,90 0,60 0,60 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049799-250920141307145/datasets/export for details.
DOI: 10.15468/dl.f3mpdf
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peramelemorphia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 -30,120 -30,120 0,90 0,90 -30))"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049800-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/gwff-63xa-yy05
title: RAINEX: NOAA N42 P-3 Radar Doppler Wind Analysis Data - radials. Version 1.0

description: This dataset contains radials data in text format by flight leg of Doppler wind analysis of the N42RF airborne radar during Dennis, Ophelia, Rita, and Wilma. These data were downloaded from the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research Atlantic Oceanographic and Meteorological Laboratory (AOML) Hurricane Research Division (HRD) Mission Catalog 2005 Radar Data pages for Dennis, Ophelia, Rita, and Wilma. These files can be read with the fortran software readradials.f which is provided automatically when you order any portion of this dataset.
DOI: 10.15468/dl.z3zdxv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scandentia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 0,-120 0,-120 30,-150 30,-150 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049801-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17271411
title: A Damped Oscillator in Early Modern War: RSP1 Data and Code (1495–1618)

description: This archive accompanies the PNAS Nexus submission "A Damped Oscillator in Early Modern War: How a Tightening Carrier Reduced Europe’s Venting Capacity (1495–1618)". It contains all core materials to reproduce the results: (i) Datasets S1–S6 (CSV) covering the war-by-war participation series, envelopes, carrier series and war-aligned extracts, the full κ sensitivity grid, and the ABM per-war series; (ii) Python scripts (Files S1–S3) that rebuild the datasets and analyses; and (iii) a standalone ABM package (Archive S1) with README and Makefile. See README_ZENODO.md for contents and quickstart. Licensing: Data (CSV) are licensed CC BY 4.0. Code (Python/ZIP) is MIT-licensed via LICENSE_CODE.txt included in the archive. Zenodo allows a single record license; we select CC-BY-4.0 for the deposition and specify the MIT license at file level for code. Relevance: The materials reproduce all figures and tests in the manuscript (damped-sinusoid fit, change-point detection with MOSUM/BIC and moving-block bootstrap, IAAFT surrogates, κ construction and lead–lag coupling, sensitivity grid, and the minimal ABM with falsifiers).
DOI: 10.5281/zenodo.17271412
title: A Damped Oscillator in Early Modern War: RSP1 Data and Code (1495–1618)

description: This archive accompanies the PNAS Nexus submission "A Damped Oscillator in Early Modern War: How a Tightening Carrier Reduced Europe’s Venting Capacity (1495–1618)". It contains all core materials to reproduce the results: (i) Datasets S1–S6 (CSV) covering the war-by-war participation series, envelopes, carrier series and war-aligned extracts, the full κ sensitivity grid, and the ABM per-war series; (ii) Python scripts (Files S1–S3) that rebuild the datasets and analyses; and (iii) a standalone ABM package (Archive S1) with README and Makefile. See README_ZENODO.md for contents and quickstart. Licensing: Data (CSV) are licensed CC BY 4.0. Code (Python/ZIP) is MIT-licensed via LICENSE_CODE.txt included in the archive. Zenodo allows a single record license; we select CC-BY-4.0 for the deposition and specify the MIT license at file level for code. Relevance: The materials reproduce all figures and tests in the manuscript (damped-sinusoid fit, change-point detection with MOSUM/BIC and moving-block bootstrap, IAAFT surrogates, κ construction and lead–lag coupling, sensitivity grid, and the minimal ABM with falsifiers).
DOI: 10.15468/dl.yxzsj7
title: Occurrence Download

description: A dataset containing 40388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peramelemorphia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -30,150 -30,150 0,120 0,120 -30))"
 ]
}

 The dataset includes 40388 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049802-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw8jst
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Idiopterus nephrelepidis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049804-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf43g5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scandentia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 0,-150 0,-150 30,-180 30,-180 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049803-250920141307145/datasets/export for details.
DOI: 10.15468/dl.s6u46q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scandentia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 30,180 30,180 60,150 60,150 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049805-250920141307145/datasets/export for details.
DOI: 10.15468/dl.z4ftqb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peramelemorphia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 -60,-150 -60,-150 -30,-180 -30,-180 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049807-250920141307145/datasets/export for details.
DOI: 10.15468/dl.gkn6qn
title: Occurrence Download

description: A dataset containing 10041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peramelemorphia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -30,180 -30,180 0,150 0,150 -30))"
 ]
}

 The dataset includes 10041 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049806-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/w2kk-qmty-3304
title: RAINEX: NOAA N42 P-3 Radar Imagery - aircraft relative. Version 1.0

description: This dataset contains imagery of the N42RF airborne radar data collected during hurricanes Dennis, Gert, Ophelia, Rita, and Wilma. The imagery are in aircraft relative coordinates. This dataset contains both mpeg movies of entire days, and GIF images of individual sweeps. These data were downloaded from the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research Atlantic Oceanographic and Meteorological Laboratory (AOML) Hurricane Research Division (HRD) Mission Catalog 2005 Radar Data pages for Dennis, Gert, Ophelia, Rita, and Wilma.
DOI: 10.15468/dl.avz9yp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scandentia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 30,150 30,150 60,120 60,120 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049808-250920141307145/datasets/export for details.
DOI: 10.15468/dl.naszy8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peramelemorphia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 -60,-120 -60,-120 -30,-150 -30,-150 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049809-250920141307145/datasets/export for details.
DOI: 10.15468/dl.yspe6e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scandentia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 30,120 30,120 60,90 60,90 30))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049810-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5cszr
title: Occurrence Download

description: A dataset containing 1420367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1420367 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049677-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29356547
title: Contribution of e-cigarette use to renal cadmium burden

description: Recent expansion of the use of electronic cigarettes (eCig) as a nicotine substitute for tobacco products has raised concerns regarding whether eCig vaping might adversely contribute to the body burden of heavy metals. Epidemiological studies found higher levels of cadmium (Cd) in blood and urine in association with eCig use, although this outcome is not consistent across all investigations. In this study, a biokinetic model was used to predict the relative contributions of diet and eCig vaping to renal and urinary Cd levels. The biokinetic model predicted that, for a median eCig exposure scenario, renal cortex Cd increased by 0.2 μg Cd/g and urine Cd rose by 0.004 μg Cd/g creatinine (Cr), a 5.6% elevation above the levels predicted for diet alone. For a 95th percentile eCig exposure, the rise was 2.2 μg Cd/g renal cortex and urine Cd increased by 0.04 μg Cd/g Cr, a 35% elevation above the level predicted for diet alone. The predicted increases in urine Cd attributed to eCig vaping were consistent with epidemiologic-based estimates of the impact of eCig use on urinary Cd levels, providing further support for eCig vaping constituting a potential contributor to the Cd body burden.
DOI: 10.6084/m9.figshare.29356547.v1
title: Contribution of e-cigarette use to renal cadmium burden

description: Recent expansion of the use of electronic cigarettes (eCig) as a nicotine substitute for tobacco products has raised concerns regarding whether eCig vaping might adversely contribute to the body burden of heavy metals. Epidemiological studies found higher levels of cadmium (Cd) in blood and urine in association with eCig use, although this outcome is not consistent across all investigations. In this study, a biokinetic model was used to predict the relative contributions of diet and eCig vaping to renal and urinary Cd levels. The biokinetic model predicted that, for a median eCig exposure scenario, renal cortex Cd increased by 0.2 μg Cd/g and urine Cd rose by 0.004 μg Cd/g creatinine (Cr), a 5.6% elevation above the levels predicted for diet alone. For a 95th percentile eCig exposure, the rise was 2.2 μg Cd/g renal cortex and urine Cd increased by 0.04 μg Cd/g Cr, a 35% elevation above the level predicted for diet alone. The predicted increases in urine Cd attributed to eCig vaping were consistent with epidemiologic-based estimates of the impact of eCig use on urinary Cd levels, providing further support for eCig vaping constituting a potential contributor to the Cd body burden.
DOI: 10.6084/m9.figshare.29488614
title: Investigating the quantitative toxicological relationship between PFAS alkyl fluorine structure and exposure levels leading to changes in blood-based clinical markers in rats

description: Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are persistent organic pollutants, many of which exhibit low <i>in vivo</i> clearance rates. The long-chain PFAS (≥6 perfluorinated carbons), due to low clearance rates, are often perceived to exert a higher toll on human health than short-chain PFAS. However, a comprehensive toxicological and epidemiological comparison of long- and short-chain PFAS is overdue, leaving significant data gaps and limitations. For the first time, this study investigated the quantitative relationship between overall PFAS fluorine structure (C-F bond), which includes the alkyl chain length as one component, and PFAS doses that trigger changes in rat blood-based clinical markers. Fifteen markers published by the National Toxicology Program (NTP) after 28-day exposure to 7 PFAS with both long- and short-chain perfluorinated alkyl structures were examined. The aim of this study was to (1) determine PFAS doses that trigger changes in the marker levels for hepatic, renal, cardiovascular, and metabolic systems and (2) use these doses in multiple linear regression models to examine relationship to variables describing PFAS chemical structures. Our findings showed a log-linear dependence of alterations in marker levels on PFAS fluorine structure, as measured in the number of alkyl carbon-fluorine (C-F) bonds. Each C-F bond affected the marker effect levels by 0.45 ± 0.01 mmol/kg-day. The variety of studied clinical markers suggests that PFAS exposures led to deviations in multiple biological pathways in the rat animal model, which may inform future research and regulatory decisions. Perfluorinated carboxylic or sulfonic acids with linear chains of 4 to 10 carbons, known as perfluoroalkyl acids (PFAA)s, are types of PFAS commonly found in the environment.In a 28-day study by NTP, these PFAAs had dose-response effects in a panel of blood-based clinical markers in rats at specific doses.In regression models for individual clinical markers or a joint regression for all markers, these doses were strongly correlated with the number of carbon-fluorine bonds in the PFAAs.The resulting multiple linear regression (MLR) models provide a simple estimation tool for PFAAs’ exposure levels on blood-based clinical marker responses in rats. Perfluorinated carboxylic or sulfonic acids with linear chains of 4 to 10 carbons, known as perfluoroalkyl acids (PFAA)s, are types of PFAS commonly found in the environment. In a 28-day study by NTP, these PFAAs had dose-response effects in a panel of blood-based clinical markers in rats at specific doses. In regression models for individual clinical markers or a joint regression for all markers, these doses were strongly correlated with the number of carbon-fluorine bonds in the PFAAs. The resulting multiple linear regression (MLR) models provide a simple estimation tool for PFAAs’ exposure levels on blood-based clinical marker responses in rats.
DOI: 10.6084/m9.figshare.28775668
title: Low-code analysis of glass transition temperatures of structural strengthening adhesives

description: Structural strengthening adhesives are commonly used for bonding fibre-reinforced composites in the rehabilitation of civil engineering constructions. These adhesives are polymers whose performance is significantly influenced by their glass transition temperatures (<i>T</i><sub><i>g</i></sub>). A lower <i>T</i><sub><i>g</i></sub> can result in reduced stiffness and strength, particularly in warm temperature conditions. The <i>T</i><sub><i>g</i></sub> of adhesives is closely related to the types of adhesives and curing scenarios, yet predictions remain challenging. This study presents a low-code paradigm to examine the <i>T</i><sub><i>g</i></sub> values of strengthening adhesives. Multiple mainstream regression models were trained in parallel using 404 experimental data points and 606 synthetic data points generated by an advanced conditional tabular generative adversarial network. The final fine-tuned Light Gradient Boosting Machine (LightGBM) model demonstrated high accuracy in predicting <i>T</i><sub><i>g</i></sub> based on the curing conditions and type of adhesive, achieving a coefficient of determination of 0.890 for the test set. Furthermore, the low-code approach was employed to evaluate and interpret the performance of the LightGBM black-box model, and a corresponding web-based <i>T</i><sub><i>g</i></sub> prediction application was developed using a light-code platform called Streamlit, providing practical insights for engineers and researchers. The analysis of feature variations in the prediction results offers guidance for achieving optimal adhesive selection and curing strategies.
DOI: 10.6084/m9.figshare.28775668.v1
title: Low-code analysis of glass transition temperatures of structural strengthening adhesives

description: Structural strengthening adhesives are commonly used for bonding fibre-reinforced composites in the rehabilitation of civil engineering constructions. These adhesives are polymers whose performance is significantly influenced by their glass transition temperatures (<i>T</i><sub><i>g</i></sub>). A lower <i>T</i><sub><i>g</i></sub> can result in reduced stiffness and strength, particularly in warm temperature conditions. The <i>T</i><sub><i>g</i></sub> of adhesives is closely related to the types of adhesives and curing scenarios, yet predictions remain challenging. This study presents a low-code paradigm to examine the <i>T</i><sub><i>g</i></sub> values of strengthening adhesives. Multiple mainstream regression models were trained in parallel using 404 experimental data points and 606 synthetic data points generated by an advanced conditional tabular generative adversarial network. The final fine-tuned Light Gradient Boosting Machine (LightGBM) model demonstrated high accuracy in predicting <i>T</i><sub><i>g</i></sub> based on the curing conditions and type of adhesive, achieving a coefficient of determination of 0.890 for the test set. Furthermore, the low-code approach was employed to evaluate and interpret the performance of the LightGBM black-box model, and a corresponding web-based <i>T</i><sub><i>g</i></sub> prediction application was developed using a light-code platform called Streamlit, providing practical insights for engineers and researchers. The analysis of feature variations in the prediction results offers guidance for achieving optimal adhesive selection and curing strategies.