cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8qkmwy
title: Occurrence Download

description: A dataset containing 1127024 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is MEX.26_1"
 ]
}

 The dataset includes 1127024 records from 818 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010371-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npuczx
title: Occurrence Download

description: A dataset containing 1122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eremochelis Roewer, 1934",
 "Continent is North America",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1122 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010378-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txg5uk
title: Occurrence Download

description: A dataset containing 19600 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Datos de ocurrencia de triatominos americanos del Laboratorio de Triatominos del CEPAVE (CONICET-UNLP)"
 ]
}

 The dataset includes 19600 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010379-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14889459
title: Dataset for ancillary analysis of on-road contribution to the top 5 carcinogenic air toxics in Baltimore City

description: These data focus on the Baltimore City census tracts with cancer risks greater than 1 in 1 million population as reported in the US Environmental Protection Agency's 2014 National Air Toxics Assessment. The analysis and interpretation of these data is presented in the "Health Risk Characterization for Transport Workers and Users" report.
DOI: 10.5281/zenodo.14889460
title: Dataset for ancillary analysis of on-road contribution to the top 5 carcinogenic air toxics in Baltimore City

description: These data focus on the Baltimore City census tracts with cancer risks greater than 1 in 1 million population as reported in the US Environmental Protection Agency's 2014 National Air Toxics Assessment. The analysis and interpretation of these data is presented in the "Health Risk Characterization for Transport Workers and Users" report.
DOI: 10.15468/dl.7xvz36
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.26_1",
 "TaxonKey is Glaucidium gnoma Wagler, 1832"
 ]
}

 The dataset includes 306 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010381-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14889527
title: Project Repository: Traffic-Related Air Pollution and the Burden of Childhood Asthma
DOI: 10.5281/zenodo.14889528
title: Project Repository: Traffic-Related Air Pollution and the Burden of Childhood Asthma
DOI: 10.5281/zenodo.14889427
title: Study dataset for 01-06-JHU Health Risk Characterization for Transport Workers and Users

description: We conducted an exposure assessment for consumers to characterize benzene (and other volatile organic compounds) exposure associated with vehicle refueling using modern sampling and analysis methodologies. The consumer exposure assessment data were extended to an occupational setting by developing worker exposure scenarios to estimate excess risk values for gasoline service station attendants and pump attendants. The risk assessment results for the consumers were then put in a holistic health context including an analysis of other individual, community, and socio-economic factors (a cumulative risk characterization). While benzene exposure during refueling was not a major cancer contributor, cancer risk was found to be a concern due to exposures to ambient air toxics. Transportation-related sources contributed to four of the five top air toxic carcinogens identified. Cancer is a major cause of death in all participant communities and half of the study participants resided in communities where challenging socio-economic conditions have potential to increase cancer mortality overall and reduce survival times for cancer patients. This cumulative risk characterization found cancer risk to be a concern in both the ambient environmental and community settings suggesting a management approach targeting both the exposure and community context.

This work met four main objectives: 1) design and implement a novel self-sampling protocol for benzene, toluene, ethylbenzene, and xylene exposures to consumers during vehicle refueling; 2) estimate cancer risk to consumers from the measured benzene exposures; 3) evaluate potential cancer risk for pump attendants in an occupational scenario building on the consumer data; and 4) develop a cumulative risk characterization for the consumers combining the cancer risk assessment findings with ambient environmental exposures to benzene and other air toxics, personal psychosocial, and community socio-economic and health data from both primary and secondary sources.
DOI: 10.5281/zenodo.14889428
title: Study dataset for 01-06-JHU Health Risk Characterization for Transport Workers and Users

description: We conducted an exposure assessment for consumers to characterize benzene (and other volatile organic compounds) exposure associated with vehicle refueling using modern sampling and analysis methodologies. The consumer exposure assessment data were extended to an occupational setting by developing worker exposure scenarios to estimate excess risk values for gasoline service station attendants and pump attendants. The risk assessment results for the consumers were then put in a holistic health context including an analysis of other individual, community, and socio-economic factors (a cumulative risk characterization). While benzene exposure during refueling was not a major cancer contributor, cancer risk was found to be a concern due to exposures to ambient air toxics. Transportation-related sources contributed to four of the five top air toxic carcinogens identified. Cancer is a major cause of death in all participant communities and half of the study participants resided in communities where challenging socio-economic conditions have potential to increase cancer mortality overall and reduce survival times for cancer patients. This cumulative risk characterization found cancer risk to be a concern in both the ambient environmental and community settings suggesting a management approach targeting both the exposure and community context.

This work met four main objectives: 1) design and implement a novel self-sampling protocol for benzene, toluene, ethylbenzene, and xylene exposures to consumers during vehicle refueling; 2) estimate cancer risk to consumers from the measured benzene exposures; 3) evaluate potential cancer risk for pump attendants in an occupational scenario building on the consumer data; and 4) develop a cumulative risk characterization for the consumers combining the cancer risk assessment findings with ambient environmental exposures to benzene and other air toxics, personal psychosocial, and community socio-economic and health data from both primary and secondary sources.
DOI: 10.5281/zenodo.14889579
title: Driver Exposure to PM2.5, CO, NOx

description: These data files for a Federal Motor Carrier Safety Administration (FMCSA) project by Texas A&M Transportation Insitute and Georgia Tech Research Corporations include ambient and in-cab air quality data for large diesel trucks in multiple operational modes. The testing was designed to cover the various possible modes (termed as test scenarios) a truck would operate under at a truck stop, which includes parked with the engine turned off (defined as the baseline for testing purposes), idling the main truck engine, or operating an Idle Reduction Technology (IRT) (Auxiliary Power Unit (APU) or Fuel Operated Heater (FOH)). Depending on ambient conditions, the truck engine or IRT would provide heating or cooling to the truck cab. Thus, some of the test scenarios may also have an associated operational mode, a cooling mode (during ambient temperatures of 100°F), and/or a heating mode (during ambient temperatures of 32°F). All baseline tests (truck parked with the engine off) and idling tests were conducted at 32°F. 

 

Related article: https://journals.sagepub.com/doi/10.1177/0361198118769901
DOI: 10.5281/zenodo.14889580
title: Driver Exposure to PM2.5, CO, NOx

description: These data files for a Federal Motor Carrier Safety Administration (FMCSA) project by Texas A&M Transportation Insitute and Georgia Tech Research Corporations include ambient and in-cab air quality data for large diesel trucks in multiple operational modes. The testing was designed to cover the various possible modes (termed as test scenarios) a truck would operate under at a truck stop, which includes parked with the engine turned off (defined as the baseline for testing purposes), idling the main truck engine, or operating an Idle Reduction Technology (IRT) (Auxiliary Power Unit (APU) or Fuel Operated Heater (FOH)). Depending on ambient conditions, the truck engine or IRT would provide heating or cooling to the truck cab. Thus, some of the test scenarios may also have an associated operational mode, a cooling mode (during ambient temperatures of 100°F), and/or a heating mode (during ambient temperatures of 32°F). All baseline tests (truck parked with the engine off) and idling tests were conducted at 32°F. 

 

Related article: https://journals.sagepub.com/doi/10.1177/0361198118769901
DOI: 10.5281/zenodo.15008669
title: Asthma Cases Attributable to Traffic-Related Air Pollution in Bradford, England

description: Data from Full-chain health impact assessment of traffic-related air pollution and childhood asthma (https://doi.org/10.1016/j.envint.2018.03.008) that show the results of modelling how many asthma cases are attributable to NOx emissions from traffic
DOI: 10.5281/zenodo.15008670
title: Asthma Cases Attributable to Traffic-Related Air Pollution in Bradford, England

description: Data from Full-chain health impact assessment of traffic-related air pollution and childhood asthma (https://doi.org/10.1016/j.envint.2018.03.008) that show the results of modelling how many asthma cases are attributable to NOx emissions from traffic
DOI: 10.5281/zenodo.14889334
title: URBAN POLICY INTERVENTIONS TO REDUCE TRAFFIC-RELATED EMISSIONS AND AIR POLLUTION: A SYSTEMATIC EVIDENCE MAP

description: This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urban-level policy interventions to reduce traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits.

The objective the systematic evidence map (SEM) is to examine and characterize the evidence on urban-level policy interventions that can be implemented by urban authorities to reduce traffic emissions and/or traffic-related air pollution (TRAP) from on-road mobile sources, thus potentially reducing human exposures and adverse health impacts. We created this open access, query-able database to facilitate the identification of relevant trends and gaps in the evidence base and serve as the foundation for future research and a reference for practice and policy recommendations. The database contains information for 376 articles and 1,139 policy scenarios within. There are 58 unique policy interventions documented which fall under one of the following overarching policy categories: 1) pricing, 2) land-use, 3) infrastructure, 4) behavioral, 5) technology, and 6) management, standards, and services. Urban authorities, such as cities, air agencies, local authorities including county and district councils, and metropolitan planning organizations (MPOs) or districts, are encouraged to use this database to identify information on various urban-level policy interventions implemented around the world to reduce traffic emissions and TRAP, and potentially yield benefits to human exposures and health and a wide range of documented social, environmental, climate and economic outcomes.
DOI: 10.5281/zenodo.14889335
title: URBAN POLICY INTERVENTIONS TO REDUCE TRAFFIC-RELATED EMISSIONS AND AIR POLLUTION: A SYSTEMATIC EVIDENCE MAP

description: This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urban-level policy interventions to reduce traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits.

The objective the systematic evidence map (SEM) is to examine and characterize the evidence on urban-level policy interventions that can be implemented by urban authorities to reduce traffic emissions and/or traffic-related air pollution (TRAP) from on-road mobile sources, thus potentially reducing human exposures and adverse health impacts. We created this open access, query-able database to facilitate the identification of relevant trends and gaps in the evidence base and serve as the foundation for future research and a reference for practice and policy recommendations. The database contains information for 376 articles and 1,139 policy scenarios within. There are 58 unique policy interventions documented which fall under one of the following overarching policy categories: 1) pricing, 2) land-use, 3) infrastructure, 4) behavioral, 5) technology, and 6) management, standards, and services. Urban authorities, such as cities, air agencies, local authorities including county and district councils, and metropolitan planning organizations (MPOs) or districts, are encouraged to use this database to identify information on various urban-level policy interventions implemented around the world to reduce traffic emissions and TRAP, and potentially yield benefits to human exposures and health and a wide range of documented social, environmental, climate and economic outcomes.
DOI: 10.15468/dl.ktxham
title: Occurrence Download

description: A dataset listing the 714 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.05812 4.67856,-74.05927 4.67188,-74.04654 4.66493,-74.04161 4.6749,-74.05345 4.68134,-74.05812 4.67856))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 714 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010380-250415084134356/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.28843088
title: HCW KIIs.rar

description: This file contains anonymized transcripts of key informant interviews with healthcare workers
DOI: 10.25345/c5nz81288
title: MassIVE MSV000097689 - Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets
title: This study emphasizes the importance of data normalization in multi-omics integration, especially for time-course data, where normalization can unintentionally distort temporal patterns. Using datasets from metabolomics, lipidomics, and proteomics derived from the same cell lysate, the researchers compared common normalization methods with a machine learning approach, SERRF. They developed a streamlined process to evaluate normalization effectiveness based on quality control (QC) consistency and the preservation of treatment- and time-related variance. Lipidomics datasets are provided here.
DOI: 10.15468/dl.kdj933
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.26_1",
 "TaxonKey is Strix occidentalis (Xántus de Vésey, 1860)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010383-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15265020
title: IODP Expedition 384 GEODESC Description Files

description: GEODESC data files and catalogs
DOI: 10.5281/zenodo.15265021
title: IODP Expedition 384 GEODESC Description Files

description: GEODESC data files and catalogs
DOI: 10.5281/zenodo.14968199
title: Crash Warning Emission Database

description: This database is developed as part of the "Development of an Emission-based Selection Algorithm to Optimize Variable Message Signs Location" project conducted for CARTEEH. This database allows the algorithm to search for new VMS locations based on maximizing emission saving of real-world incidents records in El Paso, TX. This database is derived from four major sources:

1. TxDOT's Crash Records Information System

2. El Paso Metropolitan Planning Organization

3. TxDOT's Intelligent Transportation System

4. Research and Practices

The following chart shows how this database is fit into the purposed methodology of the mentioned project.

 

The noted study used this database to develop four tools:



Crash Road Matching Algorithm focuses on matching each crash record to the correct road segment.

Stochastic Crash Generation Algorithm uses the crash warning database to automate the crash generation process for emission impact assessment.

Potential VMS Location Algorithm uses some criteria to propose a set of VMS based on current network configuration. These criteria include:








Covering a freeway road segment

Having an immediate exit from the freeway

Not being covered by any existing VMS






Multi-Objective Optimization tool was the second goal of the study after data integration. The mathematical foundation of this part is fully explained in the study report.


Furthermore, this database is well-prepared to be used for TEMPO, which is a cloud-based modeling platform for integrating and automating a suite of transportation, energy, and emissions models that provides a sound evidence for optimized infrastructure decision making to regulators and policy makers. For more information, please access the link in attached resources.

 

The results from this database are visualized in Crash Warning Emission dashboard attached in the resources. We can explore the map by selection of the measures and number of proposed VMS.
DOI: 10.5281/zenodo.14968200
title: Crash Warning Emission Database

description: This database is developed as part of the "Development of an Emission-based Selection Algorithm to Optimize Variable Message Signs Location" project conducted for CARTEEH. This database allows the algorithm to search for new VMS locations based on maximizing emission saving of real-world incidents records in El Paso, TX. This database is derived from four major sources:

1. TxDOT's Crash Records Information System

2. El Paso Metropolitan Planning Organization

3. TxDOT's Intelligent Transportation System

4. Research and Practices

The following chart shows how this database is fit into the purposed methodology of the mentioned project.

 

The noted study used this database to develop four tools:



Crash Road Matching Algorithm focuses on matching each crash record to the correct road segment.

Stochastic Crash Generation Algorithm uses the crash warning database to automate the crash generation process for emission impact assessment.

Potential VMS Location Algorithm uses some criteria to propose a set of VMS based on current network configuration. These criteria include:








Covering a freeway road segment

Having an immediate exit from the freeway

Not being covered by any existing VMS






Multi-Objective Optimization tool was the second goal of the study after data integration. The mathematical foundation of this part is fully explained in the study report.


Furthermore, this database is well-prepared to be used for TEMPO, which is a cloud-based modeling platform for integrating and automating a suite of transportation, energy, and emissions models that provides a sound evidence for optimized infrastructure decision making to regulators and policy makers. For more information, please access the link in attached resources.

 

The results from this database are visualized in Crash Warning Emission dashboard attached in the resources. We can explore the map by selection of the measures and number of proposed VMS.
DOI: 10.5281/zenodo.15265018
title: Cross Space collapse architecture; from substrate to signal

description: This entry formalizes the structural equivalence between a newly observed quantum phenomenon—quantum rain fragmentation in ultracold droplets of potassium-41 and rubidium-87—and behavioral ψ(t) phase clustering observed in the GREX S2 biosignal data set. These two domains, though vastly different in scale and substance, display homologous collapse architecture.
DOI: 10.5281/zenodo.15265019
title: Cross Space collapse architecture; from substrate to signal

description: This entry formalizes the structural equivalence between a newly observed quantum phenomenon—quantum rain fragmentation in ultracold droplets of potassium-41 and rubidium-87—and behavioral ψ(t) phase clustering observed in the GREX S2 biosignal data set. These two domains, though vastly different in scale and substance, display homologous collapse architecture.
DOI: 10.5281/zenodo.14889642
title: Trip Summary Results for CARB 90-Vehicle HDV Activity Project

description: Vehicle and engine activity data were collected from 90 heavy-duty vehicles that make up 19 different groups defined by a combination of vocational use, GVWR, and geographic region. Almost all of the vehicles are of model year 2010 or newer and are equipped with SCR technology. These data went through several steps of data processing and quality assurance to correct erroneous data and to protect fleet confidentiality. The trip summary results for the processed data are presented here.
DOI: 10.5281/zenodo.14889641
title: Trip Summary Results for CARB 90-Vehicle HDV Activity Project

description: Vehicle and engine activity data were collected from 90 heavy-duty vehicles that make up 19 different groups defined by a combination of vocational use, GVWR, and geographic region. Almost all of the vehicles are of model year 2010 or newer and are equipped with SCR technology. These data went through several steps of data processing and quality assurance to correct erroneous data and to protect fleet confidentiality. The trip summary results for the processed data are presented here.
DOI: 10.5281/zenodo.15263538
title: IODP Expedition 395 GEODESC Description Files

description: GEODESC data files and catalogs
DOI: 10.5281/zenodo.15263548
title: IODP Expedition 395C GEODESC Description Files

description: GEODESC data files and catalogs
DOI: 10.5281/zenodo.15263549
title: IODP Expedition 395C GEODESC Description Files

description: GEODESC data files and catalogs
DOI: 10.15468/dl.yxde8n
title: Occurrence Download

description: A dataset containing 3313 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bursera microphylla A.Gray"
 ]
}

 The dataset includes 3313 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010384-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14889603
title: In-cabin PM Exposure during Paratransit Transport in Atlanta, GA & Nashville, TN
DOI: 10.5281/zenodo.14889604
title: In-cabin PM Exposure during Paratransit Transport in Atlanta, GA & Nashville, TN