cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.h195.d9j9
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p3_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xa0x.o4g3
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p4_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.vdwy.stgd
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p4_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kghz.6pw1
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p5_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.3vqs.qd9j
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p5_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.mkrv.mcxs
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p7_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.al3h.wk5p
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p7_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rue5.rkyo
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p9_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.htuk.lw7f
title: /ggXToJPsiJPsi_JPsiToMuMu_M6p9_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.lk23.w6uu
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p1_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.b3n3.zhue
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p1_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.x9bd.2qqu
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p3_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.u8yr.ycgw
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p3_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8w62.gxls
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p5_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.vg77.ncb5
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p5_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ok5s.nzwv
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p7_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.euoi.6ufx
title: /ggXToJPsiJPsi_JPsiToMuMu_M7p7_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gfib.fq3q
title: /ggXToJPsiJPsi_JPsiToMuMu_M8p5_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.zpp3.g8jt
title: /ggXToJPsiJPsi_JPsiToMuMu_M8p5_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.va4p.2x2m
title: /ggXToJPsiJPsi_JPsiToMuMu_M9p0_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.2mwa.u4t6
title: /ggXToJPsiJPsi_JPsiToMuMu_M9p0_JPCTwoMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.1gj1.othu
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M6p8_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nob1.wb8l
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M6p8_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.yw65.sux3
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M6p9_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ke5d.ct6v
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M6p9_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.1bol.8lgq
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p1_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.qh1d.kxiy
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p1_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.jcbj.rt8y
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p3_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.8260467
title: Dataset: Survey on the actual situation of antibiotic resistant bacteria detection by nucleic acid amplification test in clinical microbiology laboratories at hospitals in Japan: Online survey of participants in workshops organized by the Nara Association of Medical Technologists

description: The coronavirus disease 2019 pandemic has led to the widespread use of the nucleic acid amplification test (NAAT), along with an increase in demand for SARS-CoV-2 tests. NAAT has been used to detect antimicrobial resistance (AMR) genes since before the pandemic, but the test has been performed in a limited number of facilities. We investigated the current status and background of Japanese clinical laboratories by surveying the implementation of genotypic AST in NAAT, which has become widespread owing to the pandemic. This means that 59% of the respondents possessed NAAT and were using it for genotypic AST. GeneXpert and FilmArray were introduced in the majority of cases (62.5% and 82.6%, respectively), with the pandemic as the trigger. More than half of the respondents cited “rapid detection” (56.0%) and “ICT requests” (52.4%) as the reasons for introducing the system. Regarding usefulness, “contribution to infectious disease treatment” (74.1%) showed the highest percentage. Among the respondents who cited “not implemented”, the most frequent responses were “I have no plans, but I want to do it.” (38.1%) and “would do so if requested by a physician” (33.3%). The most common reason for not implementing the system was concern about increased workload (52.9%). We believe that this is due to changes in the working environment caused by the pandemic and the characteristics of Japanese society. In the future, to promote the adoption of genotypic AST, it will be necessary to approach it through reports on its usefulness from domestic facilities, and simultaneously, improving and enhancing efficiency in work processes will also be essential.
DOI: 10.5281/zenodo.8260468
title: Dataset: Survey on the actual situation of antibiotic resistant bacteria detection by nucleic acid amplification test in clinical microbiology laboratories at hospitals in Japan: Online survey of participants in workshops organized by the Nara Association of Medical Technologists

description: The coronavirus disease 2019 pandemic has led to the widespread use of the nucleic acid amplification test (NAAT), along with an increase in demand for SARS-CoV-2 tests. NAAT has been used to detect antimicrobial resistance (AMR) genes since before the pandemic, but the test has been performed in a limited number of facilities. We investigated the current status and background of Japanese clinical laboratories by surveying the implementation of genotypic AST in NAAT, which has become widespread owing to the pandemic. This means that 59% of the respondents possessed NAAT and were using it for genotypic AST. GeneXpert and FilmArray were introduced in the majority of cases (62.5% and 82.6%, respectively), with the pandemic as the trigger. More than half of the respondents cited “rapid detection” (56.0%) and “ICT requests” (52.4%) as the reasons for introducing the system. Regarding usefulness, “contribution to infectious disease treatment” (74.1%) showed the highest percentage. Among the respondents who cited “not implemented”, the most frequent responses were “I have no plans, but I want to do it.” (38.1%) and “would do so if requested by a physician” (33.3%). The most common reason for not implementing the system was concern about increased workload (52.9%). We believe that this is due to changes in the working environment caused by the pandemic and the characteristics of Japanese society. In the future, to promote the adoption of genotypic AST, it will be necessary to approach it through reports on its usefulness from domestic facilities, and simultaneously, improving and enhancing efficiency in work processes will also be essential.
DOI: 10.7483/opendata.cms.mcez.pnua
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p3_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.5nkk.kd4y
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p5_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.98g2.iwmf
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p5_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.yfkj.36n2
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p7_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.h6kf.drrk
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M7p7_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.a0lu.iz2f
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M8p5_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.h2cf.h9fd
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M8p5_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.6yfq.i2ri
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M9p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tfqg.bfsl
title: /ggXToPsi2SJPsi_Psi2SToMuMu_JPsiToMuMu_M9p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.dxgs.q2af
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p6_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.yzrs.j2j4
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p6_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.2em8.q7b0
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p7_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2loc.it0m
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p7_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.15468/dl.r2pcr9
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Resultados de la implementación del Protocolo de colección de datos para el muestreo de primates y guacamayo verde mayor en la Costa ecuatoriana",
 "Geometry POLYGON((-79.59573 -4.43897,-79.30524 -4.43897,-77.50168 -2.36822,-76.86029 -2.59111,-76.06551 -1.81086,-75.65862 -0.5036,-79.30524 0.78535,-79.59573 0.78535,-80.31181 -0.91611,-80.49504 -1.95021,-79.33773 -1.95021,-80.04829 -3.7923,-79.59573 -4.43897))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 129 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073329-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.o7sg.s902
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p8_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.fwra.ecir
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p8_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.2qak.ctet
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p9_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.sjxw.i0fa
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M12p9_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.rcwk.f1fz
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rh4a.59p4
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.mirr.tuy9
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p2_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.v2dz.uol0
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p2_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.yktb.a89g
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p4_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6qzn.lify
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p4_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.uy3x.ut8i
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p6_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bkan.c0bp
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M13p6_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.521u.o7l7
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M14p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.08n4.mucf
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M14p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.kxps.0x34
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M14p5_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ml8n.f9df
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M14p5_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.sti1.uxz9
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M15p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.sord.ydn1
title: /ggXToYJPsi_YToMuMu_JPsiToMuMu_M15p0_JPZeroPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.9bar.3r7l
title: /ggXToYY_YToMuMu_M19p0_JPCZeroMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1mih.j2ye
title: /ggXToYY_YToMuMu_M19p0_JPCZeroMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.noye.lp0j
title: /ggXToYY_YToMuMu_M19p0_JPCZeroPlusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.j9di.ztz1
title: /ggXToYY_YToMuMu_M19p0_JPCZeroPlusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.e542.avby
title: /ggXToYY_YToMuMu_M19p1_JPCZeroMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bmn8.7eez
title: /ggXToYY_YToMuMu_M19p1_JPCZeroMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.6p8s.p6hj
title: /ggXToYY_YToMuMu_M19p1_JPCZeroPlusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xlpg.v4ff
title: /ggXToYY_YToMuMu_M19p1_JPCZeroPlusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.5r9h.nton
title: /ggXToYY_YToMuMu_M19p2_JPCZeroMinusPlus_TuneCP5_13TeV-pythia8-JHUGen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.tkc2ep
title: Occurrence Download

description: A dataset containing 12014327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.35882 -5.45192,-75.35659 -5.45192,-75.35659 1.17126,-81.35882 1.17126,-81.35882 -5.45192))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12014327 records from 1379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073280-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k2bz8
title: Occurrence Download

description: A dataset containing 64654 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phillyrea L."
 ]
}

 The dataset includes 64654 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073711-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.untp89
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nycticebus javanicus É.Geoffroy Saint-Hilaire, 1812"
 ]
}

 The dataset includes 93 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218752-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkgvpt
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreobolus acutifolius S.T.Blake"
 ]
}

 The dataset includes 327 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054171-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.isthrt
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Magnolia schiedeana Schltdl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 298 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007664-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zc7kzb
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophomilia polybapta Butler, 1879",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 59 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189794-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52d6kh
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Viola odorata L."
 ]
}

 The dataset includes 117 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047768-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dboozu
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calomys tener (Winge, 1888)"
 ]
}

 The dataset includes 238 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007664-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xes3xz
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maliattha Walker, 1863",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 231 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189791-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxmj67
title: Occurrence Download

description: A dataset containing 17007 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epiphyas postvittana (Walker, 1863)"
 ]
}

 The dataset includes 17007 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007664-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jrds9
title: Occurrence Download

description: A dataset containing 1599 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Universidad de San Carlos de Guatemala - Colección de Moluscos"
 ]
}

 The dataset includes 1599 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054193-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpty7k
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Palpoctenidia phoenicosoma (Swinhoe, 1895)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189790-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.