cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7mhzwk
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus amplissima Sm."
 ]
}

 The dataset includes 79 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304064-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckk68h
title: Occurrence Download

description: A dataset containing 1033217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 1033217 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002001-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rqh33
title: Occurrence Download

description: A dataset listing the 3316315 species recorded in GBIF matching the query:
{ }

 The dataset's 3316315 records were derived from 33216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186750-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fefvh8
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrochilus fuscopunctatus (Hayata) Hayata"
 ]
}

 The dataset includes 48 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008598-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sy0pju
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Colobicus parilis Pascoe, 1860"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044838-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhtpvg
title: Occurrence Download

description: A dataset containing 50723 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hottonia palustris L."
 ]
}

 The dataset includes 50723 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225675-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a6yz9
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calamagrostis appressa (Vickery) Govaerts"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149162-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpfh76
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus karthalensis C.C.Berg"
 ]
}

 The dataset includes 20 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008487-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esk9xf
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyloscirtus antioquia Rivera-Correa & Faivovich, 2013"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044838-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyhqgz
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burkina Faso",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237498-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tmsxn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ferula pratovii F.O.Khass. & I.I.Malzev"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008491-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b7q2j
title: Occurrence Download

description: A dataset containing 8364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vangueria Juss."
 ]
}

 The dataset includes 8364 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225680-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kr2cuf
title: Occurrence Download

description: A dataset containing 11266 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Membranipora de Blainville, 1830"
 ]
}

 The dataset includes 11266 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044844-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbcb83
title: Occurrence Download

description: A dataset containing 6714 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 Myiophobus pulcher (P.L.Sclater, 1861)"
 ]
}

 The dataset includes 6714 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008472-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.festej
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Year 1960-2018",
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044845-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vnm7d
title: Occurrence Download

description: A dataset containing 4693057 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 4693057 records from 2529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052346-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j7php
title: Occurrence Download

description: A dataset containing 13269 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is MEX.30.131_2"
 ]
}

 The dataset includes 13269 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020837-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dyfte
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meriania colombiana Gleason"
 ]
}

 The dataset includes 21 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020840-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9653593
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.84k454
title: Occurrence Download

description: A dataset containing 1254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorubim lima (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 1254 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020841-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6a37a
title: Occurrence Download

description: A dataset containing 13269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.30.131_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13269 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020842-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8tbcm
title: Occurrence Download

description: A dataset containing 93164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreochromis niloticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 93164 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020839-241007104925546/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.25800118
title: qPCR raw data 16S rRNA gene, sul1, intI1

description: Animal antibiotic use contributes to antimicrobial resistance (AMR) in humans. Agricultural benefits of animal manure can be overshadowed by its role as a hotspot for antibiotic-resistant bacteria, their genes, and antibiotic residues. Of particular significance are fluoroquinolones, a class of antibiotics crucial for human health according to the World Health Organization (WHO). In Buenos Aires periuban agriculture, poultry farming administers enrofloxacin, a fluoroquinolone to the flocks via drinking water, and horticulture uses poultry litter as soil amendment. Fluoroquinolones’ fate and AMR dissemination resulting from these practices remain poorly understood. Our research addresses this gap by tracing fluoroquinolones trajectory from poultry to lettuce in circular periurban agriculture. The presence of biomarkers for AMR was also studied. In our biological model, we applied poultry litter from intensive farming as a source of fluoroquinolones to a soil with no prior history of poultry litter application. <i>Lactuca sativa</i> (lettuce) acts as a receptor of fluoroquinolones, representing a possible pathway for human exposure.Fresh poultry litter (FPL) was obtained and subsequently stored for six months before application as stored poultry litter (SPL) in a horticulture field experiment. The experiment included control (CRL) and manured (MPS) plots where lettuce (L) was cultivated till harvest. Enrofloxacin, was detected in FPL, while its primary metabolite, ciprofloxacin, was found in SPL. No fluoroquinolones were detected in MPS; however, L-MPS samples exhibited high ENR and CIP concentrations, providing evidence of fluoroquinolone bioaccumulation in plants. Despite soil quality improved in MPS plots compared to CTR, <i>sul1</i> gene abundance was 2.60 times higher reaching a relative abundance of -3.57 Log <i>sul1</i> per 16S rRNA. A smaller, but significant effect was registered for <i>intI1.</i> Our results suggest that, while amended plots may enhance soil quality, they may also act as hotspots for selecting bacteria carrying AMR genes, potentially contributing to AMR dissemination in the environment, increasing human health risk.
DOI: 10.5281/zenodo.10933580
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: These are fossil CO2 fluxes updated through February 2024 for atmospheric CO2 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 2022-2024, ODIAC's 2021 emissions have been scaled by the ratio of that year to 2021 emissions reported by Carbon Monitor, downloaded on April 4, 2024 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 each extended year reported by Carbon Monitor, i.e., power, ground transport, etc. have not 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 the extended years.

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 2022-2024.



Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.
DOI: 10.5281/zenodo.11210827
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: These are fossil CO2 fluxes updated through February 2024 for atmospheric CO2 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-Feb 2024, ODIAC's 2021 emissions have been scaled by the ratio of that year to 2021 emissions reported by Carbon Monitor, downloaded on April 4, 2024 from https://carbonmonitor.org/. For Mar 2024, a similar scaling has been done based on CarbonMonitor data downloaded on May 14, 2024.



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 each extended year reported by Carbon Monitor, i.e., power, ground transport, etc. have not 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 the extended years.

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 2022-2024.

CarbonMonitor data used for deriving 2022 and later emissions are now included in this dataset for convenience as netcdf files (converted from original CSV files).



Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.
DOI: 10.5281/zenodo.13947942
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: These are fossil CO2 fluxes updated through August 2024 for atmospheric CO2 modeling. They were constructed primarily to be used for the OCO2 Model Intercomparison Project (MIP).



For 2000-2022, they're based on ODIAC 2023, which in turn uses BP's energy use statistics for 2021 and 2022.

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 2023 onwards, ODIAC's 2022 emissions have been scaled by the ratio of that month to 2022 emissions reported by Carbon Monitor, downloaded on October 15, 2024 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 2022 and each extended year reported by Carbon Monitor, i.e., power, ground transport, etc. have not 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 2022 and the extended years.

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 2023-2024.

CarbonMonitor data used for deriving 2023 and later emissions are now included in this dataset for convenience as netcdf files (converted from original CSV files).



Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.


These files can be downloaded from the browser, or from the command line following guides such as this.
DOI: 10.5281/zenodo.4470072
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: These are fossil CO2 fluxes updated through August 2024 for atmospheric CO2 modeling. They were constructed primarily to be used for the OCO2 Model Intercomparison Project (MIP).



For 2000-2022, they're based on ODIAC 2023, which in turn uses BP's energy use statistics for 2021 and 2022.

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 2023 onwards, ODIAC's 2022 emissions have been scaled by the ratio of that month to 2022 emissions reported by Carbon Monitor, downloaded on October 15, 2024 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 2022 and each extended year reported by Carbon Monitor, i.e., power, ground transport, etc. have not 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 2022 and the extended years.

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 2023-2024.

CarbonMonitor data used for deriving 2023 and later emissions are now included in this dataset for convenience as netcdf files (converted from original CSV files).



Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.


These files can be downloaded from the browser, or from the command line following guides such as this.
DOI: 10.5281/zenodo.4470073
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: These are fossil CO<sub>2</sub> fluxes updated through November 2020 for OCO2-related atmospheric CO<sub>2</sub> modeling. For 2000-2019, they're based on ODIAC 2020 (https://db.cger.nies.go.jp/dataset/ODIAC/DL_odiac2020.html), which in turn uses BP's energy use statistics for 2018 and 2019. 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 2020, ODIAC's 2019 emissions have been scaled by the ratio of 2020 and 2019 emissions reported by Carbon Monitor (https://www.nature.com/articles/s41597-020-00708-7). 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 2019 and 2020 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 2019 and 2020. If your work depends on the exact timing of emission reduction in 2020 reported by Carbon Monitor, <strong>do not</strong> use these emission files. 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 (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/