cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bu7maw
title: Occurrence Download

description: A dataset containing 193465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Ulex europaeus L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 193465 records from 912 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020172-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5s2xc
title: Occurrence Download

description: A dataset containing 90 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 Lasaeola oceanica Simon, 1883",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 90 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020185-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rbkk2
title: Occurrence Download

description: A dataset containing 6297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aegilops tauschii Coss."
 ]
}

 The dataset includes 6297 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020187-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jwy83
title: Occurrence Download

description: A dataset containing 42 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 Clubiona decora Blackwall, 1859",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020188-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww8bsd
title: Occurrence Download

description: A dataset containing 15 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 Microlinyphia johnsoni (Blackwall, 1859)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020190-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13743322
title: Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

description: Millions of abandoned oil and gas wells are scattered across the world, leaching methane into the atmosphere and toxic compounds into the groundwater. Many of these locations are unknown, preventing the wells from being plugged and their polluting effects averted. Remote sensing is a relatively unexplored tool for pinpointing abandoned wells at scale. We introduce the first large-scale dataset for this problem, leveraging medium-resolution multi-spectral satellite imagery from Planet Labs. Our curated dataset comprises over 213,000 wells (abandoned, suspended, and active) from Alberta, a region with especially high well density, sourced from the Alberta Energy Regulator and verified by domain experts. We evaluate baseline algorithms for well detection and segmentation, showing the promise of computer vision approaches but also significant room for improvement.
description: The AWD Dataset is released under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License ( https://creativecommons.org/licenses/by-nc/4.0/ ). The satellite imagery for this project was acquired through Planet Labs' Education & Research license, which allows the use of the data in publications and the creation of derivative products related to those publications. However, the raw imagery cannot be shared publicly. This data is for academic use only and should not be used commercially. Proper credit to the current authors, Planet Labs, and the Alberta Energy Regulator is required when using this data.
DOI: 10.5281/zenodo.13743323
title: Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

description: Millions of abandoned oil and gas wells are scattered across the world, leaching methane into the atmosphere and toxic compounds into the groundwater. Many of these locations are unknown, preventing the wells from being plugged and their polluting effects averted. Remote sensing is a relatively unexplored tool for pinpointing abandoned wells at scale. We introduce the first large-scale dataset for this problem, leveraging medium-resolution multi-spectral satellite imagery from Planet Labs. Our curated dataset comprises over 213,000 wells (abandoned, suspended, and active) from Alberta, a region with especially high well density, sourced from the Alberta Energy Regulator and verified by domain experts. We evaluate baseline algorithms for well detection and segmentation, showing the promise of computer vision approaches but also significant room for improvement.
description: The AWD Dataset is released under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License ( https://creativecommons.org/licenses/by-nc/4.0/ ). The satellite imagery for this project was acquired through Planet Labs' Education & Research license, which allows the use of the data in publications and the creation of derivative products related to those publications. However, the raw imagery cannot be shared publicly. This data is for academic use only and should not be used commercially. Proper credit to the current authors, Planet Labs, and the Alberta Energy Regulator is required when using this data.
DOI: 10.5281/zenodo.13945276
title: UF/OSU - ARPA-E SMARTFARM Grain Sorghum 2022 Oklahoma site comprehensive sensor modalities data set.

description: Comprehensive Year 2 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Oklahoma site of the project.
DOI: 10.5281/zenodo.13945277
title: UF/OSU - ARPA-E SMARTFARM Grain Sorghum 2022 Oklahoma site comprehensive sensor modalities data set.

description: Comprehensive Year 2 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Oklahoma site of the project.
DOI: 10.5281/zenodo.13935237
title: Data from: Habitat suitability models reveal extensive distribution of deep warm water coral frameworks in the Red Sea

description: Deep-sea coral frameworks are understudied in the Red Sea, where conditions in the deep are conspicuously warm and saline compared to other basins. Habitat suitability models can be used to predict the distribution pattern of species or assemblages where direct observation is difficult. Here we show how coral frameworks, built by species within the families Caryophylliidae and Dendrophylliidae, are distributed between water depths of 150 m and 700 m in the northern Red Sea and Gulf of Aqaba. To extrapolate the known (ground-truthed) positions of these deep frameworks, we use environmental and geomorphometric variables to inform well-performing maximum entropy models. Over 250 km2 of seafloor in our study area are identified as suitable for such frameworks, equivalent to at least 35% of the area of photic-zone coral reefs in the same region. We hence contend that deep-water coral frameworks are an important and underappreciated repository of Red Sea biodiversity.
description: Sub_dive_locations.csv - Coordinates of all submersible dives during the 2020 OceanX expedition

ROV_dive_locations.csv - Coordinates of all ROV dives during the 2020 OceanX expedition

Dive_locations_2022.csv - Coordinates of all ROV and submersible dives during the 2022 OceanX expedition

CCF_Records.csv- Coordinates for each video frame in which Caryophylliidae Coral Framework was observed

DCF_Records.csv - Coordinates for each video frame in which Dendrophylliidae Coral Framework was observed

CCF_MaxEnt_Results.asc - 30 m ASCII raster showing results from the MaxEnt habitat suitability model for Caryophylliidae Coral Framework

DCF_MaxEnt_Results.asc- 30 m ASCII raster showing results from the MaxEnt habitat suitability model for Dendrophylliidae Coral Framework

Temp.asc - 30 m ASCII raster for the generated temperature layer used in the models

Oxygen.asc- 30 m ASCII raster for the generated oxygen concentration layer used in the models

Salinity.asc- 30 m ASCII raster for the generated salinity layer used in the models
DOI: 10.5281/zenodo.13935238
title: Data from: Habitat suitability models reveal extensive distribution of deep warm water coral frameworks in the Red Sea

description: Deep-sea coral frameworks are understudied in the Red Sea, where conditions in the deep are conspicuously warm and saline compared to other basins. Habitat suitability models can be used to predict the distribution pattern of species or assemblages where direct observation is difficult. Here we show how coral frameworks, built by species within the families Caryophylliidae and Dendrophylliidae, are distributed between water depths of 150 m and 700 m in the northern Red Sea and Gulf of Aqaba. To extrapolate the known (ground-truthed) positions of these deep frameworks, we use environmental and geomorphometric variables to inform well-performing maximum entropy models. Over 250 km2 of seafloor in our study area are identified as suitable for such frameworks, equivalent to at least 35% of the area of photic-zone coral reefs in the same region. We hence contend that deep-water coral frameworks are an important and underappreciated repository of Red Sea biodiversity.
description: Sub_dive_locations.csv - Coordinates of all submersible dives during the 2020 OceanX expedition

ROV_dive_locations.csv - Coordinates of all ROV dives during the 2020 OceanX expedition

Dive_locations_2022.csv - Coordinates of all ROV and submersible dives during the 2022 OceanX expedition

CCF_Records.csv- Coordinates for each video frame in which Caryophylliidae Coral Framework was observed

DCF_Records.csv - Coordinates for each video frame in which Dendrophylliidae Coral Framework was observed

CCF_MaxEnt_Results.asc - 30 m ASCII raster showing results from the MaxEnt habitat suitability model for Caryophylliidae Coral Framework

DCF_MaxEnt_Results.asc- 30 m ASCII raster showing results from the MaxEnt habitat suitability model for Dendrophylliidae Coral Framework

Temp.asc - 30 m ASCII raster for the generated temperature layer used in the models

Oxygen.asc- 30 m ASCII raster for the generated oxygen concentration layer used in the models

Salinity.asc- 30 m ASCII raster for the generated salinity layer used in the models
DOI: 10.5281/zenodo.13942128
title: UF/OSU - ARPA-E SMARTFARM Grain Sorghum 2021 Oklahoma site comprehensive sensor modalities data set

description: Comprehensive Year 1 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Oklahoma site of the project.
DOI: 10.5281/zenodo.13942129
title: UF/OSU - ARPA-E SMARTFARM Grain Sorghum 2021 Oklahoma site comprehensive sensor modalities data set

description: Comprehensive Year 1 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Oklahoma site of the project.
DOI: 10.15468/dl.79fme6
title: Occurrence Download

description: A dataset containing 1599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Australia, Brazil, South Africa, United States of America, Japan, Argentina, China, New Caledonia)",
 "TaxonKey is Abildgaardia ovata (Burm.f.) Kral"
 ]
}

 The dataset includes 1599 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020193-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13899433
title: TAMU - ARPA-E SMARTFARM Grain Sorghum 2021 Texas site comprehensive sensor modalities data set.

description: Comprehensive Year 1 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Texas site of the project.
DOI: 10.5281/zenodo.13899434
title: TAMU - ARPA-E SMARTFARM Grain Sorghum 2021 Texas site comprehensive sensor modalities data set.

description: Comprehensive Year 1 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Texas site of the project.
DOI: 10.15468/dl.giit0v
title: Occurrence Download

description: A dataset containing 53445 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-125 24,-66 24,-66 50,-125 50,-125 24))",
 "HasCoordinate is true",
 "TaxonKey is Ambystomatidae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53445 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017250-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13945560
title: TAMU - ARPA-E SMARTFARM Grain Sorghum 2022 Texas site comprehensive sensor modalities data set.

description: Comprehensive Year 2 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Texas site of the project.
DOI: 10.5281/zenodo.13945561
title: TAMU - ARPA-E SMARTFARM Grain Sorghum 2022 Texas site comprehensive sensor modalities data set.

description: Comprehensive Year 2 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Texas site of the project.
DOI: 10.5517/ccdc.csd.cc2k2976
title: CCDC 2355697: Experimental Crystal Structure Determination

description: Related Article: Natalie J. Roper, Aaron D. G. Campbell, Paul G. Waddell, Alistair K. Brown, Kristaps Ermanis, Roly J. Armstrong|2024|Chemical Science|15|16743|doi:10.1039/D4SC04700A
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: 10.5281/zenodo.13945800
title: TAMU - ARPA-E SMARTFARM Grain Sorghum 2023 Texas site comprehensive sensor modalities data set.

description: Comprehensive Year 3 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Texas site of the project.
DOI: 10.5281/zenodo.13945801
title: TAMU - ARPA-E SMARTFARM Grain Sorghum 2023 Texas site comprehensive sensor modalities data set.

description: Comprehensive Year 3 data of ARPA-E SMARTFARM Grain Sorghum project titled "Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains".  Data sets includes Eddy Caovariance measurements of GHGs (CO2, CH4 and N2O) along with sub acre level soil moisture, soil temperarature,  soil N and carbon, plant biomass and yield. This data is from the Texas site of the project.
DOI: 10.5517/ccdc.csd.cc2k2987
title: CCDC 2355698: Experimental Crystal Structure Determination

description: Related Article: Natalie J. Roper, Aaron D. G. Campbell, Paul G. Waddell, Alistair K. Brown, Kristaps Ermanis, Roly J. Armstrong|2024|Chemical Science|15|16743|doi:10.1039/D4SC04700A
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.37mrp7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis paquishae Brito-M., Batallas-R. & Velalcázar, 2014"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020195-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k2998
title: CCDC 2355699: Experimental Crystal Structure Determination

description: Related Article: Natalie J. Roper, Aaron D. G. Campbell, Paul G. Waddell, Alistair K. Brown, Kristaps Ermanis, Roly J. Armstrong|2024|Chemical Science|15|16743|doi:10.1039/D4SC04700A
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.qp5ra5
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera contigua Tang & F.T.Wang"
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020194-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2kzp7h
title: CCDC 2382977: Experimental Crystal Structure Determination

description: Related Article: Natalie J. Roper, Aaron D. G. Campbell, Paul G. Waddell, Alistair K. Brown, Kristaps Ermanis, Roly J. Armstrong|2024|Chemical Science|15|16743|doi:10.1039/D4SC04700A
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.cc2kzp8j
title: CCDC 2382978: Experimental Crystal Structure Determination

description: Related Article: Natalie J. Roper, Aaron D. G. Campbell, Paul G. Waddell, Alistair K. Brown, Kristaps Ermanis, Roly J. Armstrong|2024|Chemical Science|15|16743|doi:10.1039/D4SC04700A
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.cc2kzp9k
title: CCDC 2382979: Experimental Crystal Structure Determination

description: Related Article: Natalie J. Roper, Aaron D. G. Campbell, Paul G. Waddell, Alistair K. Brown, Kristaps Ermanis, Roly J. Armstrong|2024|Chemical Science|15|16743|doi:10.1039/D4SC04700A
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.