cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34664/1575722
title: 27 TeV pp collisions, Exotics type, MADGRAPH/PY6 generator: tev27pp_mg5_chaHW_hw

description: Production of charged H+ (with different masses) plus W using MG5_aMC_v2_6_1 at LO QCD. NNPDF23_LO used for PDF. Pythia6 is used for showering and hadronization. H+ masses included to the names of files as *_m[MASS]). Cross section for each file depends on generated masses. 10,000 events per file. Records are slimmed using pT&gt;0.4 GeV and PS partons. H+ decays: Associated W decays to lepton-neutrino. Charged H+ decays to Higgs plus W. Higgs decays to two b-quarks. W from H+ decays hadronically to two jets.
DOI: 10.7910/dvn/sgaf50/nety7c
title: ISF_HCN10_gsm30_mom0.fits

description: HCN (1-0) moment 0 map
DOI: 10.34664/1575723
title: 13 TeV pp collisions, Exotics type, PYTHIA6 generator: tev13pp_mg5_rho_techni

description: Technicolor production rho_T to pi_T W+. Pythia6 with showering performed using Pythia8. A14 tune. LHE files from MG5 used for Pythia8 inputs. Mass difference between rho_T and pi_T is 250 GeV. Mass of pi_T varies from 250 GeV to 6000 GeV. The mass value is indicated in file names as *_[MASS]. For each mass values, there are 2 files with 17.5k events (for each charge). pi_T decays to two jets. W+- decays leptonically to e+nu or mu+nu. Cross section depends on the mass value (given inside the files). Designed by Vincent Pascuzzi for dijet+lepton searches for the ATLAS experiment.
DOI: 10.34664/1575724
title: 27 TeV pp collisions, SM type, PYTHIA8 generator: tev27pp_qcd_pythia8_weighted

description: Inclusive dijet events for pT&gt;50 GeV. (PhaseSpace:pTHatMin=50 GeV). PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. Pythia8 tune Tune:pp = 14 similar to ATLAS. Created for studies by Frank Taylor. How to use: This is weighted events to obtain good statistics up to very large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use event weights to obtain correct pT distribution. Slimmed as: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.34664/1575725
title: 100 TeV pp collisions, SM type, PYTHIA8 generator: tev100pp_qcd_pythia8_weighted

description: Inclusive dijet events for pT&gt;50 GeV. (PhaseSpace:pTHatMin=50 GeV). PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. Pythia8 tune Tune:pp = 14. Created for studies by Frank Taylor. How to use: This is weighted events to obtain good statistics up to very large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use event weights to obtain correct pT distribution. Slimmed as: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.34664/1575726
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_gamgam

description: Production of SM H0 (all LO processes) to gamma gamma. NNPDF23_LO used for PDF.
DOI: 10.34664/1575727
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_chaHW_tbeta_hw

description: Production of charged H+ (with different masses) plus W using MG5_aMC_v2_6_1 at LO QCD. Pythi8 is used for PS and hadronisation. The cross sections are for tan(beta)=1-7 (included to file names). NNPDF23_LO used for PDF. Pythia8 is used for decays, showering and hadronization. It uses 5 flavour number scheme (b-quark is a part of proton PDF). H+ masses ranged from 500 GeV to 8000 GeV (included to the names of files as *_m[MASS]). Cross section for each file depends on generated masses and tan(beta). 5,000 events per file. LHE events from MG5 are in "tev13_mg5_chaHW_LHE.tgz". Samples are created with the help of Xiaoping Wang and Carlos E.M. Wagner. Decays: Decays of H+ are performed by PYTHIA8. Events are created assuming charged Higgs decay to SM Higgs and W+/- in 100% cases. SM Higgs decays to bbbar. To create realistic cross sections, you should multiply the obtained cross sections by the branching ratio of [H+ -&gt; H0W], and multiply by the SM Higgs branching of 0.584 for [H0 -&gt; bbbar] deacys. Slimming: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.34664/1575728
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_chaHW_tbeta_tb

description: Production of charged H+ (with different masses) associated with W- using MG5_aMC_v2_6_1 at LO QCD. PYTHI8 is used for PS and hadronisation. The cross sections are for tan(beta)=1-7. NNPDF23_LO used for PDF. It uses 5 flavour number scheme (b-quark is a part of proton PDF). Pythia8 is used for H+ decays, showering and hadronization. H+ masses ranged from 500 GeV to 8000 GeV (included to the names of files as *_m[MASS]). Cross section for each file depends on generated masses. 5,000 events per file. LHE events from MG5 are in "tev13_mg5_chaHW_LHE.tgz" Samples are created with the help of Xiaoping Wang and Carlos E.M. Wagner. Decays: Decays are done by PYTHIA8. Events are created assuming charged Higgs to decay to b-quark and top-quarks in 100% cases. No specific decay of top quarks was used. To create realistic cross sections, you should multiply the obtained cross sections from ProMC files by the branching ratio [H- to b-t~] Slimming: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.5281/zenodo.3551307
title: X-ray Signatures of Lightning-induced Electron Precipitation

description: Figures, data, and code used in my paper describing X-ray signatures of lightning-induced electron precipitation (LEP)
DOI: 10.34664/1575729
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_chaHT_tbeta_tb

description: Production of charged Higgs (H-) (with different masses) associated with t (top) using MG5_aMC_v2_6_1 at LO QCD. PYTHI8 is used for H+ decays, PS and hadronisation. Charged higgs decay to t plus b-quark (done in Pythia8) in 100% cases. The cross sections are for tan(beta)=1-7. NNPDF23_LO used for PDF. It uses 5 flavour number scheme (b-quark is a part of proton PDF). Pythia8 is used for showering and hadronisation and deacys. H+ masses ranged from 500 GeV to 8000 GeV (included to the names of files as *_m[MASS]). Cross section for each file depends on generated masses. 5,000 events per file. LHE events from MG5 are in "tev13_mg5_HT5F.tgz" Samples are created with the help of Xiaoping Wang and Carlos E.M. Wagner. Decays: Decays of H+ are handled by PYTHIA8. Events are created assuming charged Higgs to decay to b-quark and to-quarks with 100% branching ratio. No specific decay of top quarks was used. To create realistic cross sections, you should multiply the obtained cross sections by the branching ratio [H- to b-t~]. Slimming: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.34664/1575730
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_chaHT_tbeta_hw

description: Production of charged Higgs (H-) (with different masses) associated with t (top) using MG5_aMC_v2_6_1 at LO QCD. PYTHI8 is used for H+ decays, parton shower and hadronisation. The cross sections are for tan(beta)=1-7. NNPDF23_LO used for PDF. It uses 5 flavour number scheme (b-quark is a part of proton PDF). Pythia8 is used for showering and hadronisation. H+ masses ranged from 500 GeV to 8000 GeV (included to the names of files as *_m[MASS]). Cross section for each file depends on generated masses. 5,000 events per file. LHE events from MG5 are in "tev13_mg5_HT5F.tgz" Samples are created with the help of Xiaoping Wang and Carlos E.M. Wagner. Decays: Decays of H+ are performed by PYTHIA8. Events are created assuming charged Higgs decay to SM Higgs and W+/- in 100% cases. SM Higgs decays to bbbar. To create realistic cross sections, you should multiply the obtained cross sections by the branching ratio of [H+ -&gt; H0W], and multiply by the SM Higgs branching of 0.584 for [H0 -&gt; bbar]. Slimming: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.34664/1575731
title: 35 GeV e-p collisions, SM type, PYTHIA8 generator: gev35ep_pythia8_dis1q2ct14lo

description: This data sample is for testing PROIO data format https://github.com/decibelcooper/proio by D.Blyth). The files contain DIS events for Q2&gt;1 GeV2. Collision energy: E(p)=60 GeV and E(e-)=5 GeV. PDF CT14LO from CLHAPDF6.
DOI: 10.34664/1575732
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_proio_tests

description: This entry is used for testing different ProIO models for events with large number of particles. Do not use it for physics. This sample corresponds to one file from tev13pp_qcd_pythia8_weighted. The files contain Inclusive dijet events for pT&gt;50 GeV. (PhaseSpace:pTHatMin=50 GeV). 20,000 events per file. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. This sample is created for testing ProIO data format. How to use: This is weighted events to obtain good statistics up to very large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use event weights to obtain correct pT distribution. Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.34664/1575733
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_qcd_pythia8_proio

description: This sample is for testing the ProIO file format. Please do not use it for physics. This sample corresponds to a small fraction of tev13pp_qcd_pythia8_weighted sample. Inclusive dijet events for pT&gt;50 GeV. (PhaseSpace:pTHatMin=50 GeV). 20,000 events per file. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS.
DOI: 10.34664/1575734
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_rmm

description: Various SM / BSM processes from Pythia8 to study machine learning. 100k events generated for each event category. See the included logfiles with definitions. Events for pT&gt;50 GeV. (PhaseSpace:pTHatMin=50 GeV). 20,000 events per file. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. The events are created for the transformation to RMM matrices for machine learning as described in ANL-HEP-144006 (arXiv:1805.11650)
DOI: 10.34664/1575735
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_dm_boson

description: Madgraph5 simulation of Zprime in dijet+W/Z events. Zprime is a massive particle decaying to two jets and an associated W/Z (leptonic decays). Pythia8 was used to shower events. LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14 similar to ATLAS.
DOI: 10.34664/1575736
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_dm_a_boson

description: Madgraph5 simulation of a simplified model of Zprime with dijets and lepton decays of W/Z. Interference effects are included. Pythia8 was used to shower events. LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14 similar to ATLAS.
DOI: 10.5281/zenodo.3551306
title: X-ray Signatures of Lightning-induced Electron Precipitation

description: Figures, data, and code used in my paper describing X-ray signatures of lightning-induced electron precipitation (LEP)
DOI: 10.34664/1575737
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_ttbarwz_wgt

description: 2-&gt;2 events with all W+jet, Z+jet, top, single top and SM Higgs proceses at LO+PS+hadronization. PhaseSpace:pTHatMin=100 GeV. 20,000 events per file. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. THis sample was created for ATLAS studies of dijet+lepton event topologies.
DOI: 10.34664/1575738
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_qcd_em

description: Filtered QCD multijet events (2-&gt;2 process) using a electron and muon filters. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. The sample was created for ATLAS studies of dijet+lepton event topologies. EM filters: Events contain at least one final state electron or muon from QCD dijet events. The leptons are isolated to make sure there is no hadronic activity around. This was done by using a cone of 0.2 around the lepton, and by requiring that the lepton carries at least 90% of energy of the 0.2 cone in eta and phi. In addition, fake lepton and muon rates were simulated. It is assumed that an antiKT4 jet with less than 10 numbers of constituents have 10% chance to be electron, and 1% chance to be a muon. Such fake leptons were put at the end of the event records. The particles that were used for fake leptons were subtracted from the original event record. How to use weights: This is weighted events to obtain good statistics up to very large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use event weights to obtain correct pT distribution. Slimmed as: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17). Note: Created for ATLAS BSM analysis
DOI: 10.34664/1575739
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_qcd_jz

description: Filtered QCD multijet events (2-&gt;2 process) using antiKT6 filters. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed. The sample was created using the Pythia8 tune Tune:pp = 14, similar to ATLAS. The sample recreates ATLAS JZ1-JZ8 slices (without re-weighting). The cross sections are reported inside the files. Pythia8 corresponds to the ATLAS version used to create such samples.
DOI: 10.34664/1575740
title: 13 TeV pp collisions, Exotics type, MADGRAPH/PY8 generator: tev13pp_mg5_chaH4FNS

description: Production of charged H+ (with different masses) using MG5_aMC_v2_6_1 at LO QCD. Four flavor number scheme (4FNS) is used. The cross sections are for tan(beta)=1. H+ masses ranged from 500 GeV to 8000 GeV (included in the names of files as *_m[MASS]). Cross section for each file depends on generated masses. Created for ATLAS/LHE physics studies. Logfile is included inside ProMC.
DOI: 10.34664/1575741
title: 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_minbias_a14

description: MinBias events used to mix with signal processes. 5k events per file. Pythia8 Minimum bias (ND+SD+DD) sample with Tune A14 with NNPDF23LO PDF, inspired by ATLAS run2. Events include non-diffractive, single diffractive and double diffractive events. The events are used by hs-toolkit for mixing with signal events to create pileup.
DOI: 10.34664/1575742
title: 13 TeV pp collisions, SM type, PYTHIA8 generator: tev13pp_pythia8_minbias_a14

description: MinBias events used to mix with signal processes. 5k events per file. Pythia8 Minimum bias (ND+SD+DD) sample with Tune A14 with NNPDF23LO PDF, inspired by ATLAS run2. Events include non-diffractive, single diffractive and double diffractive events. The sample used by hs-toolkit for mixing with signal events.
DOI: 10.34664/1575743
title: 14 TeV pp collisions, SM type, PYTHIA8 generator: tev14pp_pythia8_gammajet_weighted

description: Inclusive direct photon (gamma) production for pT&gt;15 GeV. PDF: LHAPDF6:NNPDF23_lo_as_0130_qed and Tune:pp = 14 (Monash 2013 Tune). 10,000 events per file. How to use: The events are weighted to obtain good statistics up to large pT. This feature is set via PhaseSpace:bias2Selection and PhaseSpace:bias2SelectionPow = 5.0. Use the event weights to obtain the correct pT distribution. Slimmed as: Particle records are slimmed (all stable with pT&gt;0.3 GeV) and (PID=5 || PID=6) or PID&gt;22 && PID&lt;38) or PID&gt;10 && PID&lt;17).
DOI: 10.5281/zenodo.3548688
title: A sizable fraction of workers provides hasty, wrong answers in crowd-sourced tasks

description: The data collected for the purposes of the work: "A sizable fraction of workers provides hasty, wrong answers in crowd-sourced tasks". The collected data represent the answers reported by crowdsourcing workers on Amazon Mechanical Turk (AMT). Three type of tasks, HITs where published on AMT, namely, Color, Majority and Count. Each file represents the deanonymized answers of 100 workers reporting their answers to the each task. The experiments where repeated after seven months and those data are included as well. The ending in the file name *batch2, reveals whether data refer to the first or second round of experimentation. In total the dataset includes 399 entries x 12 features and 200 entries x 16 features.
description: This work was supported in part by the Regional Government of Madrid (CM) grant EdgeData-CM (P2018/TCS4499) cofunded by FSE & FEDER, the Spanish Ministry of Economy and Competitiveness grant FIS2015-64349-P, the FEDER/Ministry of Science, Innovation and Universities-State Research Agency grant TIN2017-88749-R, and the NSF of China grant 61520106005.
DOI: 10.5281/zenodo.3548689
title: A sizable fraction of workers provides hasty, wrong answers in crowd-sourced tasks

description: The data collected for the purposes of the work: "A sizable fraction of workers provides hasty, wrong answers in crowd-sourced tasks". The collected data represent the answers reported by crowdsourcing workers on Amazon Mechanical Turk (AMT). Three type of tasks, HITs where published on AMT, namely, Color, Majority and Count. Each file represents the deanonymized answers of 100 workers reporting their answers to the each task. The experiments where repeated after seven months and those data are included as well. The ending in the file name *batch2, reveals whether data refer to the first or second round of experimentation. In total the dataset includes 399 entries x 12 features and 200 entries x 16 features.
description: This work was supported in part by the Regional Government of Madrid (CM) grant EdgeData-CM (P2018/TCS4499) cofunded by FSE & FEDER, the Spanish Ministry of Economy and Competitiveness grant FIS2015-64349-P, the FEDER/Ministry of Science, Innovation and Universities-State Research Agency grant TIN2017-88749-R, and the NSF of China grant 61520106005.
DOI: 10.7910/dvn/fbxptb/5czwax
title: CC 2019 - Investor public only.tab

description: CDP 2019 Climate Change
DOI: 10.7910/dvn/iieyni/u02uim
title: CC 2019 - Supply Chain public only.tab

description: CDP 2019 Supply Chain
DOI: 10.34664/1575744
title: 1 TeV pgun collisions, Single particles type, PARTICLE GUN generator: pgun_eta0_b0

description: Particle gun for detector studies: A particle gun for single pions and deutrons. The eta and phi is set to 0. Production at (x,y,z,t)=(0,0,0,0). Charge is alternated. The momenta and the particle ID is given in the file name. The full Geant simulation is performed assuming no magnetic field (B=0). The sample is designed for timing studies. Each file has 50k events (only 1 TeV sample will have 10k events). Comment on full simulation: While the baseline detector is SiFcc-7, the B-field for rfull009 tag was set to 0. The sample was designed for calorimeter studies, and we expect that the charged particles entering the calorimeter have exactly eta=phi=0. The sample is designed for timing studies.
DOI: 10.5281/zenodo.3555511
title: Landsat 8 Scene Classification Map for a minimal working example for spatio-temporal object management

description: Landsat 8 Scene Classification Map for a minimal working example for spatio-temporal object management
DOI: 10.15468/dl.qtntnc
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082810-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6m32f
title: Occurrence Download

description: A dataset containing 1423 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Melanophthalma distinguenda (Comolli, 1837)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1423 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082811-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu7y66
title: Occurrence Download

description: A dataset containing 4597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachychiton acerifolius (A.Cunn. ex G.Don) F.Muell."
 ]
}

 The dataset includes 4597 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082813-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dy32a
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082812-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh7qyt
title: Occurrence Download

description: A dataset containing 4053 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tritoma bipustulata Fabricius, 1775",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4053 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082814-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jx9rh
title: Occurrence Download

description: A dataset containing 13809 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachychiton populneus (Schott & Endl.) R.Br."
 ]
}

 The dataset includes 13809 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082815-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.