cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8322595
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: <strong>ATTENTION: Please only download the YYYY.tar files for the latest version. Due to a glitch in the Zenodo upload interface, older YYYYMM.tar files are showing up in this version as well. They should not be used for version 2023.0.</strong> These are fossil CO<sub>2</sub> fluxes updated through July 2023 for atmospheric CO<sub>2</sub> modeling. They were constructed primarily to be used for the OCO2 Model Intercomparison Project (MIP). For 2000-2021, they're based on ODIAC 2022, which in turn uses BP's energy use statistics for 2020 and 2021. ODIAC monthly emissions have been disaggregated to hourly using the TIMES emission factors for day of week and time of day (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012JD018196). For 2022 and 2023, ODIAC's 2021 emissions have been scaled by the ratio of 2022 (or 2023) to 2021 emissions reported by Carbon Monitor, downloaded on August 31, 2023 from https://carbonmonitor.org/. ODIAC does not have sectoral decomposition to the degree provided by Carbon Monitor, so total ODIAC emissions for each region have been scaled by the total emission change between 2021 and 2022 (or 2023) reported by Carbon Monitor, i.e., power, ground transport, etc. have <strong>not</strong> been separately scaled. Carbon Monitor data are daily, but ODIAC emissions are monthly. So Carbon Monitor data have been aggregated to monthly totals before deriving scaling factors between 2021 and 2022 (or 2023). Carbon Monitor reports international aviation emissions by country of origin, while ODIAC reports aviation emissions on a grid. Since there is no way to derive the points of emission for Carbon Monitor aviation emissions , all Carbon Monitor international aviation was aggregated to create a single number for each month, then that number was used to scale ODIAC's bunker fuel for each month in 2022 and 2023. Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.
description: Previous versions available from (2020): https://doi.org/10.5281/zenodo.4776925, (2018): https://gmao.gsfc.nasa.gov/gmaoftp/sourish/ODIAC/2018/distrib/, (2017): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2017/distrib/, (2016): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2016/distrib/, (2015a): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2015a/distrib/
DOI: 10.5281/zenodo.8325420
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: <strong>ATTENTION: Please only download the YYYY.tar files for the latest version. Due to a glitch in the Zenodo upload interface, older YYYYMM.tar files from version 2020 may show up in this version as well. They should not be used for version 2023.</strong> These are fossil CO<sub>2</sub> fluxes updated through July 2023 for atmospheric CO<sub>2</sub> modeling. They were constructed primarily to be used for the OCO2 Model Intercomparison Project (MIP). For 2000-2021, they're based on ODIAC 2022, which in turn uses BP's energy use statistics for 2020 and 2021. ODIAC monthly emissions have been disaggregated to hourly using the TIMES emission factors for day of week and time of day (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012JD018196). For 2022 and 2023, ODIAC's 2021 emissions have been scaled by the ratio of 2022 (or 2023) to 2021 emissions reported by Carbon Monitor, downloaded on August 31, 2023 from https://carbonmonitor.org/. ODIAC does not have sectoral decomposition to the degree provided by Carbon Monitor, so total ODIAC emissions for each region have been scaled by the total emission change between 2021 and 2022 (or 2023) reported by Carbon Monitor, i.e., power, ground transport, etc. have <strong>not</strong> been separately scaled. Carbon Monitor data are daily, but ODIAC emissions are monthly. So Carbon Monitor data have been aggregated to monthly totals before deriving scaling factors between 2021 and 2022 (or 2023). Carbon Monitor reports international aviation emissions by country of origin, while ODIAC reports aviation emissions on a grid. Since there is no way to derive the points of emission for Carbon Monitor aviation emissions , all Carbon Monitor international aviation was aggregated to create a single number for each month, then that number was used to scale ODIAC's bunker fuel for each month in 2022 and 2023. Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.
description: Previous versions available from (2020): https://doi.org/10.5281/zenodo.4776925, (2018): https://gmao.gsfc.nasa.gov/gmaoftp/sourish/ODIAC/2018/distrib/, (2017): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2017/distrib/, (2016): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2016/distrib/, (2015a): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2015a/distrib/
DOI: 10.15468/dl.yfhsgj
title: Occurrence Download

description: A dataset containing 3432 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sternopygus macrurus (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 3432 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020843-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xz36k9
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Osmunda angustifolia Ching"
 ]
}

 The dataset includes 67 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020845-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7zfbr
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis truebae (Lynch & Duellman, 1997)"
 ]
}

 The dataset includes 269 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020844-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13948064
title: LoRa LBT Simulation
DOI: 10.5281/zenodo.13948065
title: LoRa LBT Simulation
DOI: 10.18150/agoxpw
title: Fe(Se,Te) Thin Films Deposited through Pulsed Laser Ablation from Spark Plasma Sintered Targets

description: Experimental data collected for the preparation of the manuscript: "Fe(Se,Te) Thin Films Deposited through Pulsed Laser Ablation from Spark Plasma Sintered Targets"AbstractIron-based superconductors are under study for their potential for high-field applications due to their excellent superconducting properties such as low structural anisotropy, large upper critical fields and low field dependence of the critical current density. Between them, Fe(Se,Te) is simple to be synthesized and can be fabricated as a coated conductor through laser ablation on simple metallic templates. In order to make all the steps simple and fast, we have applied the spark plasma sintering technique to synthesize bulk Fe(Se,Te) to obtain quite dense polycrystals in a very short time. The resulting polycrystals are very well connected and show excellent superconducting properties, with a critical temperature onset of about 16 K. In addition, when used as targets for pulsed laser ablation, good thin films are obtained with a critical current density above 105 A cm−2 up to 16 T.[In the published article; Figs. 1 and 2 are the image diagrams.]
DOI: 10.15468/dl.x7tcfm
title: Occurrence Download

description: A dataset containing 237058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Mercurialis perennis 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 237058 records from 862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020824-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7303/syn53149144.2
title: Somatic Genomic Variants - Mutect2 Pipeline - 2024Release
DOI: 10.15468/dl.txp2by
title: Occurrence Download

description: A dataset containing 795538 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 795538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031244-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93hcfu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031254-250525065834625/datasets/export for details.
DOI: 10.15468/dl.5fnutb
title: Occurrence Download

description: A dataset containing 17721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Specimen, Occurrence evidence)",
 "Country is one of (United States of America, Canada, Mexico)",
 "OccurrenceStatus is Present",
 "TaxonKey is Notropis stramineus (Cope, 1865)"
 ]
}

 The dataset includes 17721 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031255-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwpbmc
title: Occurrence Download

description: A dataset containing 2728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plebeia frontalis (Friese, 1911)"
 ]
}

 The dataset includes 2728 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031256-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qzabv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031257-250525065834625/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2mdmg4
title: CCDC 2425206: Experimental Crystal Structure Determination

description: Related Article: Kai Li, Tong Li, Yupu Zhang, Hao Yang, Qi Sun, Zhiyong Wang|2025|Green Chemistry|27|6734|doi:10.1039/D5GC01206F
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.cc2ndvfc
title: CCDC 2455213: Experimental Crystal Structure Determination

description: Related Article: Paul G. Waddell, Alexandra M. Z. Slawin, J. Derek Woollins|2010|Thesis|||
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.cc2ndvgd
title: CCDC 2455214: Experimental Crystal Structure Determination

description: Related Article: Paul G. Waddell, Alexandra M. Z. Slawin, J. Derek Woollins|2010|Thesis|||
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.femqv9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031258-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tusywg
title: Occurrence Download

description: A dataset containing 46134 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Asociación Jardín Botánico La Laguna - Herbarium LAGU"
 ]
}

 The dataset includes 46134 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031259-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/rp8v-jd54
title: "RLpos-3: Reinforcement Learning for Positioning"

description: "RLpos-3 is a research framework designed for developing and evaluating reinforcement learning (RL) algorithms for positioning tasks. It provides a modular environment to simulate and optimize positioning strategies in 3D spaces or network scenarios, leveraging RL techniques to achieve high accuracy and robustness. The project is ideal for researchers and developers working on localization, navigation, or spatial optimization problems."
DOI: 10.15468/dl.37rnxu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031260-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xbtu6g
title: Occurrence Download

description: A dataset containing 3777 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IB PAN Vascular Plant KRAM Herbarium"
 ]
}

 The dataset includes 3777 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031262-250525065834625/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.29270894
title: Epitypification of <i>Armillaria solidipes</i>, a cause of Armillaria root disease in North America

description: Alignments for manuscript describing morphological and molecular differentiation between Armillaria solidipes and Armillaria ostoyae
DOI: 10.6084/m9.figshare.29270894.v1
title: Epitypification of <i>Armillaria solidipes</i>, a cause of Armillaria root disease in North America

description: Alignments for manuscript describing morphological and molecular differentiation between Armillaria solidipes and Armillaria ostoyae
DOI: 10.15468/dl.g5z4kw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031264-250525065834625/datasets/export for details.
DOI: 10.15468/dl.37yj7v
title: Occurrence Download

description: A dataset containing 3777 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IB PAN Vascular Plant KRAM Herbarium"
 ]
}

 The dataset includes 3777 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031265-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4tq2h
title: Occurrence Download

description: A dataset containing 6743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trigona corvina Cockerell, 1913"
 ]
}

 The dataset includes 6743 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031266-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dqqnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031267-250525065834625/datasets/export for details.
DOI: 10.15468/dl.g9vd8f
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platyrrhinus helleri helleri"
 ]
}

 The dataset includes 258 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031268-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha6b2v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "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 ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031269-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/8iddkv
title: PDF of the Stata.do file of all code used in the Corrigendum reanalysis

description: This repository contains a PDF of the Stata.do file of all code used in the Corrigendum reanalysis and corresponding output for "Mears, D. P., Stewart, E. A., Siennick, S. E., & Simons, R. L. (2013). The code of the street and inmate violence: Investigating the salience of imported belief systems. Criminology, 51(3), 695-728.”
DOI: 10.5281/zenodo.15626054
title: Automotive Faults Dataset for Diagnostic and Maintenance Systems

description: This dataset contains structured data related to automotive faults, symptoms, diagnostic procedures, and resolution outcomes. It is designed to support research and development in vehicle fault detection, diagnostic expert systems, and machine learning models for automotive maintenance. The dataset includes detailed records of various vehicle issues, associated symptoms, step-by-step diagnosis procedures, and the final results.

Accompanying this structured data are four flowchart images (e.g., brake_faults_flowchart.png, electrical_faults_flowchart.png, engine_overheating_flowchart.png, transmission_faults_flowchart.png) that visually represent common diagnostic pathways and expert knowledge for key vehicle systems. These flowcharts complement the tabular data by illustrating the decision-making logic, enabling researchers and practitioners to better analyze patterns, train algorithms, and enhance automated diagnostic systems.

Keywords: automotive faults, vehicle diagnosis, fault symptoms, expert systems, machine learning, maintenance data
DOI: 10.5281/zenodo.15626055
title: Automotive Faults Dataset for Diagnostic and Maintenance Systems

description: This dataset contains structured data related to automotive faults, symptoms, diagnostic procedures, and resolution outcomes. It is designed to support research and development in vehicle fault detection, diagnostic expert systems, and machine learning models for automotive maintenance. The dataset includes detailed records of various vehicle issues, associated symptoms, step-by-step diagnosis procedures, and the final results.

Accompanying this structured data are four flowchart images (e.g., brake_faults_flowchart.png, electrical_faults_flowchart.png, engine_overheating_flowchart.png, transmission_faults_flowchart.png) that visually represent common diagnostic pathways and expert knowledge for key vehicle systems. These flowcharts complement the tabular data by illustrating the decision-making logic, enabling researchers and practitioners to better analyze patterns, train algorithms, and enhance automated diagnostic systems.

Keywords: automotive faults, vehicle diagnosis, fault symptoms, expert systems, machine learning, maintenance data