cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.hunj.isws
title: /BstarToTW_MB2000_MW80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.f16x.tdb6
title: /BstarToTW_MB2000_MW80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rrus.ipb2
title: /BstarToTW_MB3000_MW170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.vutu.g6dg
title: /BstarToTW_MB3000_MW170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ut8n.qenl
title: /BstarToTW_MB3000_MW25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8nvq.4kih
title: /BstarToTW_MB3000_MW25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6084/m9.figshare.28191218
title: Data.xlsx

description: <b>Dataset on Attitudes of Bangladeshi Medical Students Towards Artificial Intelligence in Medicine and Radiology</b>This dataset is part of a study examining the knowledge, perceptions, and attitudes of Bangladeshi undergraduate medical students towards artificial intelligence (AI) applications in medicine and radiology. The data was collected through a web-based cross-sectional survey conducted between September 7 and October 14, 2024. A structured questionnaire was designed to assess various aspects, including demographic details, familiarity with AI technologies, sources of AI-related knowledge, and attitudes toward AI's role in healthcare.Key features of the dataset include:<b>Demographics:</b> Age, gender, and self-reported tech-savviness of participants.<b>AI Awareness and Knowledge:</b> Levels of familiarity with AI applications in radiology and medicine and understanding of underlying technologies.<b>Sources of AI Information:</b> Contributions from mass media, social media, formal education, and peer discussions.<b>Attitudes Toward AI:</b> Insights into perceptions of AI's impact on radiology and medicine, concerns about AI replacing physicians, and enthusiasm for AI integration into medical curricula.<b>Statistical Analyses:</b> Results of subgroup comparisons (e.g., by gender and tech-savviness) and Likert-scale responses.The dataset provides comprehensive information on 330 participants, offering valuable insights for researchers, educators, and policymakers interested in AI adoption in medical education and healthcare.<b>Ethics Approval:</b><br>The study received approval from the FSIT Research Ethics Committee, Daffodil International University (Code: DIU/DoR/2023/11/1). Participation was voluntary, with informed consent obtained.<br><b>File Format:</b><br>The dataset is available in XLSX, along with the questionnaire used for data collection.
DOI: 10.7483/opendata.cms.yliq.3k42
title: /BstarToTW_MB3000_MW400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.wfhi.9ren
title: /BstarToTW_MB3000_MW400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xuqf.jftp
title: /BstarToTW_MB3000_MW80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.rd9k.ooes
title: /BstarToTW_MB3000_MW80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.wtei.h7ep
title: /BstarToTW_MB5000_MW170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.x4pz.g2ed
title: /BstarToTW_MB5000_MW170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rjs4.ul5y
title: /BstarToTW_MB5000_MW25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.iuxk.110z
title: /BstarToTW_MB5000_MW25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.07qk.t46q
title: /BstarToTW_MB5000_MW400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.xqo5.49eo
title: /BstarToTW_MB5000_MW400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.2yh0.e3z2
title: /BstarToTW_MB5000_MW80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.djox.k00q
title: /BstarToTW_MB5000_MW80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ytum.9fn0
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p65_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.c2we.kw30
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p70_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.cajy.rufu
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p70_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.acyx.okcy
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p75_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hktn.0p8w
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p75_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.exvh.tcxn
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p80_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.sa5m.zige
title: /BsToMuMu_SoftQCDnonD_TuneCP5_BsLifetime1p80_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.z12i.9kke
title: /BsToPiPi_BMuonFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0xz1.ldt0
title: /BsToPiPi_BMuonFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.15468/dl.26nmyy
title: Occurrence Download

description: A dataset containing 6702 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diet analysis of Pacific Bluefin Tuna larvae"
 ]
}

 The dataset includes 6702 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065458-241126133413365/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.ybxa.9ui8
title: /BsToPsi2SF2p_F2pToKK_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.i606.r0c7
title: /BsToPsi2SF2p_F2pToKK_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.hsn9.6ku9
title: /BsToPsi2SK0s_PsiFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.glxe.xqz4
title: /BsToPsi2SK0s_PsiFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.j7nn.1s3g
title: /BsToPsi2sKK_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.mm9u.3f9n
title: /BsToPsi2sKK_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iypi.xyb1
title: /BsToPsi2SPhi_Psi2SToMuMu_PhiToKK_BMuonFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.m3ah.7vvb
title: /BsToPsi2SPhi_Psi2SToMuMu_PhiToKK_BMuonFilter_SoftQCDnonD_TuneCP5_13TeV-pythia8-evtgen/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.z6id.v7ay
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2jq0.hggl
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.xpr7.614v
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jrio.qytr
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.ajzp.bzbw
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.7hql.h825
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.a33w.fzcc
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vhmy.7hi5
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.z0xc.x2zm
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.e5pa.odue
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.ykil.gkbd
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.28039322
title: Original data, figures, quantification and statistical analysis of published paper "Dynll1-PI31 Interaction Enhances Proteolysis via the Proteasome, Representing a Novel Therapeutic Target for INF2-Related FSGS" .

description: Original data, figures, quantification and statistical analysis of published paper "Dynll1-PI31 Interaction Enhances Proteolysis via the Proteasome, Representing a Novel Therapeutic Target for INF2-Related FSGS" .
DOI: 10.6084/m9.figshare.28039322.v1
title: Original data, figures, quantification and statistical analysis of published paper "Dynll1-PI31 Interaction Enhances Proteolysis via the Proteasome, Representing a Novel Therapeutic Target for INF2-Related FSGS" .

description: Original data, figures, quantification and statistical analysis of published paper "Dynll1-PI31 Interaction Enhances Proteolysis via the Proteasome, Representing a Novel Therapeutic Target for INF2-Related FSGS" .
DOI: 10.7483/opendata.cms.9u07.ngmb
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.kzkm.nzb9
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.3886/e215341
title: CAREER PIPELINES TOWARD PROGRAM LEADERSHIP POSITIONS: EXPLORING ACCESS POINTS THAT MAY INCREASE DIVERSITY WITHIN THE FIELD OF GENETIC COUNSELING

description: In 2020, the National Human Genome Research Institute (NHGRI) published their strategic vision for the future of human genomics, identifying a goal of working toward a more diverse workforce at the forefront of their plan. Four years later, there is still a significant amount of work to be done in achieving the goal of diversifying the profession, requiring attention to many facets of the problem including barriers to diversity in genetic counseling graduate program leadership. Improving diversity among graduate students is directly aligned with NHGRI’s strategic vision, and there have been significant studies reporting the influence that a diverse team of program leadership and faculty has on bringing in new cohorts of graduate students from different backgrounds. However, despite their recognized influence on the future demographic of genetic counselors, assessment of genetic counselor career trajectories toward leadership positions has not yet been studied. Our study aims to shed light on the various carrier paths genetic counselors have taken in becoming members of program leadership, identifying common themes, experiences, and influential factors facilitating those carrier trajectories toward leadership positions. This study fits in nicely with the field’s overall goal of improving diversity by focusing on a population that has a significant influential power on the future direction of genetic counseling, while also filling in a gap in the current literature. For this study, a survey collecting demographic information was sent to all current members of program leadership across the current 56 accredited genetic counseling programs in the United States. Additionally, 26 interviews were conducted with a purposefully selected sub-set of participants to explore career narratives of genetic counselors currently in program leadership positions. These interviews produced three types of career pipelines leading to program leadership, along with an analysis of facilitating factors identified in participant career trajectories. Following identification of those career advancing facilitators, a discussion on how these findings can be used to strategically improve the diversity among future members of program leadership and, by extension, the future of the field as a whole concludes this study.
DOI: 10.3886/e215341v1
title: CAREER PIPELINES TOWARD PROGRAM LEADERSHIP POSITIONS: EXPLORING ACCESS POINTS THAT MAY INCREASE DIVERSITY WITHIN THE FIELD OF GENETIC COUNSELING

description: In 2020, the National Human Genome Research Institute (NHGRI) published their strategic vision for the future of human genomics, identifying a goal of working toward a more diverse workforce at the forefront of their plan. Four years later, there is still a significant amount of work to be done in achieving the goal of diversifying the profession, requiring attention to many facets of the problem including barriers to diversity in genetic counseling graduate program leadership. Improving diversity among graduate students is directly aligned with NHGRI’s strategic vision, and there have been significant studies reporting the influence that a diverse team of program leadership and faculty has on bringing in new cohorts of graduate students from different backgrounds. However, despite their recognized influence on the future demographic of genetic counselors, assessment of genetic counselor career trajectories toward leadership positions has not yet been studied. Our study aims to shed light on the various carrier paths genetic counselors have taken in becoming members of program leadership, identifying common themes, experiences, and influential factors facilitating those carrier trajectories toward leadership positions. This study fits in nicely with the field’s overall goal of improving diversity by focusing on a population that has a significant influential power on the future direction of genetic counseling, while also filling in a gap in the current literature. For this study, a survey collecting demographic information was sent to all current members of program leadership across the current 56 accredited genetic counseling programs in the United States. Additionally, 26 interviews were conducted with a purposefully selected sub-set of participants to explore career narratives of genetic counselors currently in program leadership positions. These interviews produced three types of career pipelines leading to program leadership, along with an analysis of facilitating factors identified in participant career trajectories. Following identification of those career advancing facilitators, a discussion on how these findings can be used to strategically improve the diversity among future members of program leadership and, by extension, the future of the field as a whole concludes this study.
DOI: 10.7483/opendata.cms.sxj4.v2py
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.lilt.vaq7
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M3000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jsaz.a91l
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M3000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.yq9n.nn83
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M3500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lx3x.4253
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M3500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.u3j9.nvhg
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M4000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.cud1.r32c
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M4000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.oc49.4v22
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M4500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.h6snsr
title: Occurrence Download

description: A dataset containing 42781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.33809 36.84008,-6.43889 36.71898,-6.06594 36.17575,-5.56196 35.98839,-4.92695 36.49242,-5.08822 37.23433,-6.04578 37.28247,-6.33809 36.84008))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 42781 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065459-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6vjfu
title: Occurrence Download

description: A dataset listing the 20 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Caracterización de Flora y Fauna en el área del proyecto \"Baco Solar\" en Chiriquí, Panamá",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 20 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065457-241126133413365/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.1sff.jwh2
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M4500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.bc3i.hf70
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M5000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.yz3q9g
title: Occurrence Download

description: A dataset containing 18014751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2019-2025"
 ]
}

 The dataset includes 18014751 records from 1111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065453-241126133413365/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.k7nj.fbog
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M5000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.bql9.jp8q
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M6000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.agog.49pi
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M6000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.prqj.od8o
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.a870.wzl7
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.swc2.2v8d
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M7000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gm0c.g78g
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M7000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.vjj0.98rv
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M8000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vop1.e1jn
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M8000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.c07f.vt3u
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.t4kk.5yru
title: /BulkGraviton_ggF_ZZ_ZlepZhad_narrow_M800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.vlun.d2ep
title: /BulkGraviton_VBF_ZZ_ZlepZhad_narrow_M1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.p33q.015g
title: /BulkGraviton_VBF_ZZ_ZlepZhad_narrow_M1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.9jwf.daso
title: /BulkGraviton_VBF_ZZ_ZlepZhad_narrow_M1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.56b53d
title: Occurrence Download

description: A dataset containing 78538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 78538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065461-241126133413365/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.8uy5.w4wc
title: /BulkGraviton_VBF_ZZ_ZlepZhad_narrow_M1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.txly.v836
title: /BulkGraviton_VBF_ZZ_ZlepZhad_narrow_M1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.be76.7rx9
title: /BulkGraviton_VBF_ZZ_ZlepZhad_narrow_M1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM