cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ndr94
title: CCDC 2455116: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, L. Horsburgh, R.E. Mulvey, R. Konradi|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ndrd7
title: CCDC 2455119: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.E. Mulvey, F.J. Craig|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ndrhb
title: CCDC 2455122: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.E. Mulvey, R.B. Rowlings|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ndrjc
title: CCDC 2455123: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, A.J. Edwards, R.E. Mulvey, F.J. Craig|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ndrkd
title: CCDC 2455124: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, P.N. O'Shaughnessy, R.E. Mulvey, F.M. Mackenzie|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ndrlf
title: CCDC 2455125: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, P.N. O'Shaughnessy, R.E. Mulvey, F.J. Craig|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.wsk6ye
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Chusquea imbricata Pianiss., L.G.Clark & Santos-Gonç."
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030866-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14783044
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14802610
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14842910
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.14881648
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15037745
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15294973
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15340986
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15386880
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15516493
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15568992
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.5281/zenodo.15622377
title: EPA MATS -- Mercury and Air Toxics Standards

description: The EPA Mercury and Air Toxics Standards (MATS) dataset provides detailed information on emissions of hazardous air pollutants, specifically mercury and other toxic substances, from power plants in the United States. Established by the U.S. Environmental Protection Agency (EPA) under the Clean Air Act, MATS aims to reduce air pollution and its associated health risks by setting limits on the emissions of mercury, arsenic, acid gases, and other pollutants from coal- and oil-fired power plants. The dataset typically includes metrics such as emission levels, compliance testing results, facility locations, and operational data. It serves as a critical resource for policymakers, researchers, and environmental organizations to assess the effectiveness of pollution control measures, monitor compliance, and evaluate the environmental and public health impacts of power plant emissions. Archived from 
https://www.epa.gov/stationary-sources-air-pollution/mercury-and-air-toxics-standards

This archive contains raw input data for the Public Utility Data Liberation (PUDL)
software developed by Catalyst Cooperative. It is
organized into Frictionless
Data Packages. For additional information about this data and PUDL, see the
following resources:


  
The PUDL Repository on GitHub
  
PUDL Documentation
  
Other Catalyst Cooperative data archives
DOI: 10.15468/dl.zdac8k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella draconella Turner & Channing, 2017",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030868-250525065834625/datasets/export for details.
DOI: 10.15468/dl.sj6zwc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella draconella Turner & Channing, 2017",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030873-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mgtc3b
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coelops hirsutus (Miller, 1910)"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030874-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpkkba
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coelops hirsutus (Miller, 1910)"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030875-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.