cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e239388
title: The effects of diesel exhaust inhalation on cardiovascular function

description: Air pollution serves as a major risk factor for the development of asthma, respiratory disease and heart disease. Diesel particulate and fumes are a major contributor to air pollution. Workers in a number of different occupations, including mining, oil and gas exploration and refining, and drivers of heavy equipment who are regularly exposed to diesel exhaust while on the job, and persons living in areas with high levels of air pollution, are at an increased risk for developing asthma, cardiovascular disease and certain cancers.<br><br>Understanding the physiological and cellular effects of diesel exhaust inhalation on Various organs in the body is critical for identifying exposure-induced biological and physiological markers of disease or dysfunction. The experiments in this manuscript, focus on the effects of diesel exhaust (DE) inhalation on peripheral and cardiovascular function. In the current studies, we hypothesized that the development of cardiovascular disease in workers regularly exposed to DE is the result of the inhalation of volatile gases and particulate within the vapor that affect the cardiovascular system by altering physiological and cellular processes that affect peripheral vascular responsiveness to agents that cause blood vessels to constrict and vessels that cause blood vessels to dilate, blood pressure, cardiac output and kidney function (kidney function as it may contribute to changes in blood pressure). We also predicted that these changes in physiology would be associated with changes in the expression of proteins and the production of genes that play a role in regulating oxidative stress, responses to decreases in oxygen, and markers of kidney function that are associated with blood pressure.
description: Data downloaded 5/20/2025
DOI: 10.3886/e239388v1
title: The effects of diesel exhaust inhalation on cardiovascular function

description: Air pollution serves as a major risk factor for the development of asthma, respiratory disease and heart disease. Diesel particulate and fumes are a major contributor to air pollution. Workers in a number of different occupations, including mining, oil and gas exploration and refining, and drivers of heavy equipment who are regularly exposed to diesel exhaust while on the job, and persons living in areas with high levels of air pollution, are at an increased risk for developing asthma, cardiovascular disease and certain cancers.<br><br>Understanding the physiological and cellular effects of diesel exhaust inhalation on Various organs in the body is critical for identifying exposure-induced biological and physiological markers of disease or dysfunction. The experiments in this manuscript, focus on the effects of diesel exhaust (DE) inhalation on peripheral and cardiovascular function. In the current studies, we hypothesized that the development of cardiovascular disease in workers regularly exposed to DE is the result of the inhalation of volatile gases and particulate within the vapor that affect the cardiovascular system by altering physiological and cellular processes that affect peripheral vascular responsiveness to agents that cause blood vessels to constrict and vessels that cause blood vessels to dilate, blood pressure, cardiac output and kidney function (kidney function as it may contribute to changes in blood pressure). We also predicted that these changes in physiology would be associated with changes in the expression of proteins and the production of genes that play a role in regulating oxidative stress, responses to decreases in oxygen, and markers of kidney function that are associated with blood pressure.
description: Data downloaded 5/20/2025
DOI: 10.5281/zenodo.17476369
title: Optical excitations in nanographenes from the BSE and TDDFT

description: Data from excited state calculations on a molecular benchmark set and nanographenes employing GW-BSE and TDDFT .
DOI: 10.5281/zenodo.17476368
title: Optical excitations in nanographenes from the BSE and TDDFT

description: Data from excited state calculations on a molecular benchmark set and nanographenes employing GW-BSE and TDDFT .
DOI: 10.15468/dl.fdjmdh
title: Occurrence Download

description: A dataset containing 734740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Colombia, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela (Bolivarian Republic of), Ecuador, Chile)",
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens"
 ]
}

 The dataset includes 734740 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006845-251025141854904/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.30480431
title: <b>美容公司环境、社会和治理的影响</b><b>活动</b><b>on Female College Students' Online Interactions: The Mediating Effect of Green Perceived Value</b>

description: 该数据集支持论文“The Impact of Beauty Companies' Environmental， Social， and Governance Activities on Female College Students's Online Interactions： The Mediating Effect of Green Perceived Value”中提出得研究。它包括完整的调查数据和分析文件，调查美妆品牌ESG活动如何以绿色感知价值影响中国大学生网络互动行为。
DOI: 10.6084/m9.figshare.30480431.v1
title: <b>美容公司环境、社会和治理的影响</b><b>活动</b><b>on Female College Students' Online Interactions: The Mediating Effect of Green Perceived Value</b>

description: 该数据集支持论文“The Impact of Beauty Companies' Environmental， Social， and Governance Activities on Female College Students's Online Interactions： The Mediating Effect of Green Perceived Value”中提出得研究。它包括完整的调查数据和分析文件，调查美妆品牌ESG活动如何以绿色感知价值影响中国大学生网络互动行为。
DOI: 10.26023/5rxe-z098-s00
title: CAESAR: Downward-Looking Digital Camera Imagery. Version 1.0

description: During CAESAR, the NSF/NCAR C-130 flew a downward looking digital camera for in-flight video capture. Individual photo jpeg images were captured once per second during flights. The images have been combined into hour long tarfiles running from zero minutes zero seconds to 59 minutes 59 seconds after each hour. Note that the first and last tarfile for each flight will contain less than a full hour of imagery. Directory files returned with each order give the contents of each corresponding tar file.
DOI: 10.6084/m9.figshare.30481022
title: Datasets analyzed

description: Datasets analyzed
DOI: 10.6084/m9.figshare.30481022.v1
title: Datasets analyzed

description: Datasets analyzed
DOI: 10.15468/dl.v9x4w2
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triquetrella arapilensis"
 ]
}

 The dataset includes 154 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006874-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwc7nz
title: Occurrence Download

description: A dataset containing 61044 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Grey seals GPS telemetry in Baie de Somme"
 ]
}

 The dataset includes 61044 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006856-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwxfzu
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.45_1, USA.29_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Solidago spectabilis, Erythranthe guttata)",
 "Year 2015-2025"
 ]
}

 The dataset includes 395 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006876-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/nkz0-axtj-tf08
title: Digital Camera Movies. Version 1.0

description: During CAESAR, the NSF/NCAR C-130 (Tail Number N130AR) flew digital cameras for in-flight video capture. Individual photo jpeg images were captured once per second during flights. Images taken after dark have been stripped from this archive. Remaining images were converted to Quicktime movie files. The movies are h.264 codec playable with Quicktime (Mac and Windows), xine, (linux) and mplayer (many platforms). The original images are 1024x768 pixels and were recorded at 1 frame/second. The movies are set to play back at 512x384 pixels and 15 fps. Animated plots are visible on the right side of the frame with the following variables: Plot 1: GGALT timeseries Plot 2: PSX timeseries Plot 3: ATX timeseries Plot 4: DPXC timeseries Plot 5: WIC timeseries Plot 6: PLWCC timeseries Plot 7: CONCS_2DS timeseries Plot 8: CONCD_LWI timeseries Plot 9: FO3C_ACD timeseries Plot 10: (ATX, DPXC), GGALT 1:1 Plot 11: GGLAT, GGLON 1:1
DOI: 10.15468/dl.ufp7w6
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrences of diploid and polyploid spined loaches (Cobitis elongatoides – taenia – tanaitica) in the river systems of the Western and Central Ukraine"
 ]
}

 The dataset includes 108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006877-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np35mc
title: Occurrence Download

description: A dataset containing 349531 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Nacional Colombiano (COL)"
 ]
}

 The dataset includes 349531 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006857-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp4nva
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrences of diploid and polyploid spined loaches (Cobitis elongatoides – taenia – tanaitica) in the river systems of the Western and Central Ukraine"
 ]
}

 The dataset includes 108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006878-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7924/r42235x15
title: Data and script from: Comparative biomechanical analysis of jumping between the arboreal northern tree shrew (Tupaia belangeri) and the fat-tailed dwarf lemur (Cheirogaleus medius)

description: We designed and used an apparatus for measuring biomechanical outputs of upward vertical jumping. We tested three male fat-tailed dwarf lemurs (Cheirogaleus medius) and two male and one female arboreal northern tree-shrews (Tupaia belangeri). Two small animal force plates (HE6x6-16; Advanced Mechanical Technology, Inc., Watertown, MA, USA; 15 x 15 x 3 cm) were used to record substrate reaction forces (SRF) during the push-off phase of the jump. We sampled forces at 600 Hz using the AMTI NetForce application (Version 3.5.2, 2010). Other measures of mechanical output were calculated from SRF measurement and individual body mass using custom MATLAB programs. 

MATLAB files for force plate calibration and analysis of force plate recordings during jumping trials are available at: https://doi.org/10.7924/r47m0hf0g. Scripts available: ForcePole_Calibration.m; ForcePole_BodyMass.m; ForcePole_Leap.m

To assess the degree to which different performance abilities could be associated with different skeletal morphologies, we took a variety of measurements on a sample of three C. medius and three T. belangeri complete specimens. We took a set of 36 measurements quantifying aspects of forelimbs, hindlimbs, pelvis, and trunk vertebrae. Measurements were taken using the ruler tool in Avizo 3D (Thermofisher Scientific).

Material and methods are described in the forthcoming paper by Boulinguez-Ambroise et al.: Gregoire Boulinguez-Ambroise, Madison Bradley-Cronkwright, Noah T. Dunham, Gabriel S. Yapuncich, Daniel Schmitt, Angel Zeininger, Doug M. Boyer, Jesse W. Young; Comparative biomechanical analysis of jumping between the arboreal northern tree shrew (Tupaia belangeri) and the fat-tailed dwarf lemur (Cheirogaleus medius). Zoological Journal of the Linnean Society [DOI pending.]
DOI: 10.25934/pr00008560
title: Hybrid machine learning modeling of Insulin-Glucose dynamics for T1D

description: n/a
DOI: 10.34740/kaggle/dsv/13546815
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.16899831
title: original data

description: PurposeProvides supporting data for the study "Machine Learning and Experimental Validation Reveal Autophagy-Linked Biomarkers in Microvascular Injury after Cardiac Ischemia/Reperfusion", facilitating reproducibility of results.

Content Structure1. Bioinformatic Analysis

•Directory: /01_Bioinformatics_Analysis/

•Contents: This directory contains the complete results of the bioinformatic pipeline for identifying and validating autophagy-linked biomarkers. It includes:

    •Differential Expression Analysis: Results from identifying Differentially Expressed Genes (DEGs/).

    •Functional Enrichment: Results from Gene Ontology (GO/), KEGG pathway (KEGG/), and Gene Set Enrichment Analysis (GSEA/).

    •Machine Learning for Feature Selection: Code and results from multiple algorithms used to refine biomarker signatures, including Support Vector Machine (SVM-REF/), Random Forest (randomForest/), and LASSO regression (lasso/, lasso-venn/).

    •Diagnostic Model Building & Validation: Files related to constructing a clinical predictive model, including a Nomogram (nomogram diagram/) and Receiver Operating Characteristic curve analysis (ROC/).

    •Additional Analyses: Results from immune infiltration analysis (immune/), disease association (disease/), and clustering analysis (cluster/).

    •Validation Sets: Data and results from the test and validation cohorts (test validation/).

    •Various Intersection Analyses: Venn diagram results (venn/) comparing gene lists from different methods.

2. Experimental Validation

•Directory: /02_Experimental_Validation/

•Contents: Myocardial tissue section staining images (jpg/png), qPCR quantitative data (xlsx), Western blot raw images (TIFF), tunel (TIF), TEM (TIFF).

Methodology

Data Collection•Bioinformatic Data: RNA-seq data from mouse models sourced from the GEO database (GSE108940, GSE115568, GSE4105, GSE58486, GSE61592, GSE83472)

•Experimental Data: C57bl/6J I/R model, sampling time points: ischemia 45minutes and reperfusion 2h (n=4/group); Cardiac Microvascular Endothelial Cells (CMECs) H/R model, sampling time points: hypoxia induction 24h and reoxygenation 24h (n=3/group).

Software Requirements






Tool



Version



Purpose







R



v4.3.3



bioinformatic analysis





ImageJ



Fiji-2.3.0



Image analysis





GraphPad Prism

 8.0
 quantitative analysis




Abbreviations








Abbreviation



Full Term







I/R



Ischemia/Reperfusion





H/R



Hypoxia/reoxygenation





DEGs



Differentially Expressed Genes





TEM



Transmission Electron Microscopy (for autophagosome verification)





GSEA



Gene Set Enrichment Analysis





TTC



Evans blue and 2,3,5-triphenyltetrazolium chloride
DOI: 10.5281/zenodo.17137494
title: original data

description: PurposeProvides supporting data for the study "Machine Learning and Experimental Validation Reveal Autophagy-Linked Biomarkers in Microvascular Injury after Cardiac Ischemia/Reperfusion", facilitating reproducibility of results.

Content Structure1. Bioinformatic Analysis

•Directory: /01_Bioinformatics_Analysis/

•Contents: This directory contains the complete results of the bioinformatic pipeline for identifying and validating autophagy-linked biomarkers. It includes:

    •Differential Expression Analysis: Results from identifying Differentially Expressed Genes (DEGs/).

    •Functional Enrichment: Results from Gene Ontology (GO/), KEGG pathway (KEGG/), and Gene Set Enrichment Analysis (GSEA/).

    •Machine Learning for Feature Selection: Code and results from multiple algorithms used to refine biomarker signatures, including Support Vector Machine (SVM-REF/), Random Forest (randomForest/), and LASSO regression (lasso/, lasso-venn/).

    •Diagnostic Model Building & Validation: Files related to constructing a clinical predictive model, including a Nomogram (nomogram diagram/) and Receiver Operating Characteristic curve analysis (ROC/).

    •Additional Analyses: Results from immune infiltration analysis (immune/), disease association (disease/), and clustering analysis (cluster/).

    •Validation Sets: Data and results from the test and validation cohorts (test validation/).

    •Various Intersection Analyses: Venn diagram results (venn/) comparing gene lists from different methods.

2. Experimental Validation

•Directory: /02_Experimental_Validation/

•Contents: Myocardial tissue section staining images (jpg/png), qPCR quantitative data (xlsx), Western blot raw images (TIFF), tunel (TIF), TEM (TIFF).

Methodology

Data Collection•Bioinformatic Data: RNA-seq data from mouse models sourced from the GEO database (GSE108940, GSE115568, GSE4105, GSE58486, GSE61592, GSE83472)

•Experimental Data: C57bl/6J I/R model, sampling time points: ischemia 45minutes and reperfusion 2h (n=4/group); Cardiac Microvascular Endothelial Cells (CMECs) H/R model, sampling time points: hypoxia induction 24h and reoxygenation 24h (n=3/group).

Software Requirements






Tool



Version



Purpose







R



v4.3.3



bioinformatic analysis





ImageJ



Fiji-2.3.0



Image analysis





GraphPad Prism

 8.0
 quantitative analysis




Abbreviations








Abbreviation



Full Term







I/R



Ischemia/Reperfusion





H/R



Hypoxia/reoxygenation





DEGs



Differentially Expressed Genes





TEM



Transmission Electron Microscopy (for autophagosome verification)





GSEA



Gene Set Enrichment Analysis





TTC



Evans blue and 2,3,5-triphenyltetrazolium chloride
DOI: 10.15468/dl.tch4eu
title: Occurrence Download

description: A dataset containing 102030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guinea",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 102030 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006841-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/28276
title: Chandra X-ray Observatory ObsId 28276

description: Clarifying the nature of IMBH-powered AGN candidates in well characterized host galaxies
DOI: 10.25574/28277
title: Chandra X-ray Observatory ObsId 28277

description: Clarifying the nature of IMBH-powered AGN candidates in well characterized host galaxies
DOI: 10.25574/28278
title: Chandra X-ray Observatory ObsId 28278

description: Clarifying the nature of IMBH-powered AGN candidates in well characterized host galaxies
DOI: 10.15468/dl.jkeh3x
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nasikabatrachus sahyadrensis"
 ]
}

 The dataset includes 43 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006881-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zzqce
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Hyperolius fusciventris burtoni"
 ]
}

 The dataset includes 753 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006882-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15675890
title: Dataset of "A southward differentiated impactor forms the tapered shape of the South Pole-Aitken impact basin on the Moon"

description: This dataset contains input and output files of iSALE-3D for the paper "A southward differentiated impactor forms the tapered shape of the South Pole-Aitken impact basin on the Moon" by S. Wakita et al.





iSALE input files of our models


Python scripts and iSALE (reduced) outputs, which can be used to make figures


Please note that usage of the iSALE-3D code is restricted to those who have contributed to the development of iSALE-2D, and iSALE-2D is distributed on a case-by-case basis to academic users in the impact community. It requires registration from the iSALE webpage (https://isale-code.github.io), and usage of iSALE-2D and computational requirements are also shown there. Please also note that pySALEPlot in the current stable release of iSALE-2D (Dellen) would not work for the data from iSALE-3D.
DOI: 10.5281/zenodo.17477592
title: Dataset of "A southward differentiated impactor forms the tapered shape of the South Pole-Aitken impact basin on the Moon"

description: This dataset contains input and output files of iSALE-3D for the paper "A southward differentiated impactor forms the tapered shape of the South Pole-Aitken impact basin on the Moon" by S. Wakita et al.





iSALE input files of our models


Python scripts and iSALE (reduced) outputs, which can be used to make figures


Please note that usage of the iSALE-3D code is restricted to those who have contributed to the development of iSALE-2D, and iSALE-2D is distributed on a case-by-case basis to academic users in the impact community. It requires registration from the iSALE webpage (https://isale-code.github.io), and usage of iSALE-2D and computational requirements are also shown there. Please also note that pySALEPlot in the current stable release of iSALE-2D (Dellen) would not work for the data from iSALE-3D.
DOI: 10.7910/dvn/gjsw9u
title: Replication Data for: "Energy Transition, Financial Markets and EU Interventionism: Lessons from the Ukraine Crisisy"

description: A successful energy transition requires the reallocation of private capital away from fossil fuel assets to greener alternatives. This transition is typically hindered by investors' focus on today's returns. In times of crisis, however, credible and unambiguous political signals about the future profitability of green industries can steer investments towards low-carbon assets. Drawing on European Union interventions during the onset of the Russian invasion of Ukraine, we present an event study of daily stock market returns following the most salient policy announcements by the European Commission in 2022. Our analysis shows that markets for shares of EU-based energy firms were initially prepared to move capital to cleaner companies, suggesting support for the clean energy transition. However, the short-lived distributional effects materialized only for announcements that could unmistakably be understood as unwavering commitments to the EU's green renewal, while more ambiguous announcements did not have the same distributional implications. Our findings emphasize that repeated and unambiguous political signals during crisis episodes can create favorable market conditions, at least in the short-term, to support capital reallocation towards greener stocks.