cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.8h07.9hqy
title: /TTTo2L2Nu_HT500Njet7_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.xe8u4d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athous recaldei Zapata & Sánchez-Ruiz, 2005",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070558-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.cms.w2aj.atbh
title: /TTTo2L2Nu_HT500Njet7_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.o6ti.en5p
title: /TTTo2L2Nu_HT500Njet7_TuneCP5down_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.wrie.zdpe
title: /TTTo2L2Nu_HT500Njet7_TuneCP5down_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oz44.bwyx
title: /TTTo2L2Nu_HT500Njet7_TuneCP5up_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.lshm.c777
title: /TTTo2L2Nu_HT500Njet7_TuneCP5up_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8l79.kpfp
title: /TTTo2L2Nu_mtop166p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.k02v.1220
title: /TTTo2L2Nu_mtop166p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sn3u.xvsy
title: /TTTo2L2Nu_mtop169p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.jmkt.d4fp
title: /TTTo2L2Nu_mtop169p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.g3jj.25aw
title: /TTTo2L2Nu_mtop171p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.y2sy.fz1i
title: /TTTo2L2Nu_mtop171p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4q30.jpxa
title: /TTTo2L2Nu_mtop173p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.43wxwt
title: Occurrence Download

description: A dataset containing 21323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laminaria hyperborea (Gunnerus) Foslie"
 ]
}

 The dataset includes 21323 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070559-241126133413365/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.f0ky.ewzx
title: /TTTo2L2Nu_mtop173p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iw82.1734
title: /TTTo2L2Nu_mtop175p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.7s5n.tg5j
title: /TTTo2L2Nu_mtop175p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vizc.ne7l
title: /TTTo2L2Nu_mtop178p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ixbm.7hao
title: /TTTo2L2Nu_mtop178p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.1k33.scda
title: /TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.tmq8f4
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Trichaptum agricola Vlasák & J.Vlasák, Trichaptum fumosoavellaneum (Romell) Rajchenb. & Bianchin.)"
 ]
}

 The dataset includes 70 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070560-241126133413365/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.4rtg.jpi2
title: /TTTo2L2Nu_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.t130.kx8d
title: /TTTo2L2Nu_TuneCP5CR1_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.jywa.cfq4
title: /TTTo2L2Nu_TuneCP5CR1_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14651593
title: TALABALARDA VATANPARVARLIK FAZILATINI  RIVOJLANTIRISHGA TЕXNOLOGIK YONDOSHUV:  MAZMUNI VA ASOSIY TUSHUNCHALARI

description: Mazkur maqolada talabalarda vatanparvarlik fazilatini rivojlantirishda ta’lim va tarbiya jarayoniga texnologik yondoshuvning pedagogik jixatlari va innovatsion yondoshuvning asosiy tushunchalari haqidagi ma’lumotlar berilgan.
DOI: 10.5281/zenodo.14651594
title: TALABALARDA VATANPARVARLIK FAZILATINI  RIVOJLANTIRISHGA TЕXNOLOGIK YONDOSHUV:  MAZMUNI VA ASOSIY TUSHUNCHALARI

description: Mazkur maqolada talabalarda vatanparvarlik fazilatini rivojlantirishda ta’lim va tarbiya jarayoniga texnologik yondoshuvning pedagogik jixatlari va innovatsion yondoshuvning asosiy tushunchalari haqidagi ma’lumotlar berilgan.
DOI: 10.7483/opendata.cms.1byg.wke9
title: /TTTo2L2Nu_TuneCP5CR2_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.41dj.5qd1
title: /TTTo2L2Nu_TuneCP5CR2_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.h23k.a09e
title: /TTTo2L2Nu_TuneCP5down_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ivg0.lawq
title: /TTTo2L2Nu_TuneCP5down_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.uhl3.wdar
title: /TTTo2L2Nu_TuneCP5_erdON_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.pmn4.701u
title: /TTTo2L2Nu_TuneCP5_erdON_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i8gt.7zpb
title: /TTTo2L2Nu_TuneCP5up_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.sssp.mtov
title: /TTTo2L2Nu_TuneCP5up_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.os8e.l8pr
title: /TTTo2L2Nu_widthx0p55_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8e5y.wrib
title: /TTTo2L2Nu_widthx0p55_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.v1ej.99bt
title: /TTTo2L2Nu_widthx0p7_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.coxq.i7vd
title: /TTTo2L2Nu_widthx0p7_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iqnf.eu2m
title: /TTTo2L2Nu_widthx0p85_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.hk6n.fraj
title: /TTTo2L2Nu_widthx0p85_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i4mz.lx1c
title: /TTTo2L2Nu_widthx1p15_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.9fgf.saax
title: /TTTo2L2Nu_widthx1p15_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.c19v.xs8t
title: /TTTo2L2Nu_widthx1p3_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.dqwy.8f4y
title: /TTTo2L2Nu_widthx1p3_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.etd7.xoto
title: /TTTo2L2Nu_widthx1p45_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hhdm.i9vl
title: /TTTo2L2Nu_widthx1p45_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xpdq.x6mt
title: /TTToHadronic_hdampDOWN_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.mkwzjj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athous schurmanni Giuseppe & Serrano, 2003",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070563-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.cms.8e9t.i780
title: /TTToHadronic_hdampDOWN_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vbwq.y9sh
title: /TTToHadronic_hdampUP_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.6f7w.glpn
title: /TTToHadronic_hdampUP_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3k4q.0q35
title: /TTToHadronic_mtop166p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.kkax.0aki
title: /TTToHadronic_mtop166p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.mo9f.1hfl
title: /TTToHadronic_mtop169p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.d7hl.65cv
title: /TTToHadronic_mtop169p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9219.8vol
title: /TTToHadronic_mtop171p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.wro3.brcm
title: /TTToHadronic_mtop171p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tvm3.7c7p
title: /TTToHadronic_mtop173p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.t8dk.nm2f
title: /TTToHadronic_mtop173p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.whrp.4m53
title: /TTToHadronic_mtop175p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.srfl.lj54
title: /TTToHadronic_mtop175p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.suzl.enlj
title: /TTToHadronic_mtop178p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0c2a.5lx0
title: /TTToHadronic_mtop178p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.g6ce.1itv
title: /TTToHadronic_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.pw7l.v890
title: /TTToHadronic_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cmjx.vlhl
title: /TTToHadronic_TuneCP5CR1_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.kovv.7nhi
title: /TTToHadronic_TuneCP5CR1_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gb94.czro
title: /TTToHadronic_TuneCP5CR2_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.17028/rd.lboro.28211222
title: Supplementary information files for "Do exercise-based prevention programs reduce injury in endurance runners? A systematic review and meta-analysis"

description: Supplementary files for article "Do exercise-based prevention programs reduce injury in endurance runners? A systematic review and meta-analysis"<b>Background</b>: Endurance running is a popular sport and recreational activity yet is associated with a high prevalence of injury. Running related injuries (RRIs) are a leading cause of drop-out and represent a substantial financial burden to runners and healthcare services. There is clear evidence for the use of exercise-based injury prevention programs in games-based and youth sport settings, yet the research investigating the use of exercise to reduce injury risk in endurance runners has not been adequately reviewed recently.<b>Objectives</b>: The aim of this review and meta-analysis was to systematically summarize the current research that has investigated the effect of exercise-based prevention programs and their state of supervision on the risk of RRIs in endurance runners.<b>Methods</b>: Three databases were searched for relevant studies. Selection and review were completed by two independent reviewers using the following inclusion criteria: (1) study population used endurance running training for health, occupational, or performance outcome(s); (2) participants performed running as their main form of exercise (&gt; 50% of their total training time); (3) study was a randomized controlled trial; (4) a non-running-based exercise intervention was used; (5) a running-only or placebo exercise control group was included; (6) injury rate or incidence was reported; (7) injuries were recorded prospectively alongside the exercise training. Two meta-analyses were conducted using random-effects models, one based on log risk ratio and one based on log incidence rate ratio. The Cochrane Risk of Bias Assessment Tool 2 was used to evaluate the quality of studies and the Grading of Recommendations Assessment, Development and Evaluations approach was employed to grade the certainty of evidence.<b>Results</b>: A total of nine articles containing 1904 participants were included in analysis. Overall pooled results showed no significant differences between intervention and control groups in injury risk (z = − 1.60; p = 0.110) and injury rate (z = − 0.98; p = 0.329), while a post hoc analysis evaluating supervised interventions only showed that injury risk was significantly lower in the intervention group compared to the control group (z = − 3.75, p &lt; 0.001). Risk of bias assessment revealed that seven studies included in the analysis were of low quality.<b>Conclusions</b>: Exercise-based interventions do not appear to reduce the risk and rate of running-related injuries. Supervision may be essential for exercise-based intervention programs to reduce risk of RRIs, possibly due to increased compliance. Studies with more robust designs that include supervised exercise interventions should be prioritized in the future.Trial Registry: Clinical Trial Registration: PROSPERO CRD42021211274.© The Authors, CC BY 4.0
DOI: 10.7483/opendata.cms.s29e.oilt
title: /TTToHadronic_TuneCP5CR2_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qyj1.tlh8
title: /TTToHadronic_TuneCP5down_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.jkog.drbo
title: /TTToHadronic_TuneCP5down_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.yi9l.uoeo
title: /TTToHadronic_TuneCP5_erdON_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.wa82.fyj2
title: /TTToHadronic_TuneCP5_erdON_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sv08.ss2c
title: /TTToHadronic_TuneCP5up_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.fkta.dbxg
title: /TTToHadronic_TuneCP5up_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cuyo.8wr5
title: /TTToHcToWAToMuMu_MHc-100_MA-15_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.q98y.va4a
title: /TTToHcToWAToMuMu_MHc-100_MA-15_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.7uyn.q4w7
title: /TTToHcToWAToMuMu_MHc-100_MA-60_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.lf05.lw20
title: /TTToHcToWAToMuMu_MHc-100_MA-60_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.trm5.2mha
title: /TTToHcToWAToMuMu_MHc-100_MA-95_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.w1hk.22nd
title: /TTToHcToWAToMuMu_MHc-100_MA-95_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9gcg.wqzm
title: /TTToHcToWAToMuMu_MHc-130_MA-125_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.iv6i.l3d8
title: /TTToHcToWAToMuMu_MHc-130_MA-125_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.96oq.scye
title: /TTToHcToWAToMuMu_MHc-130_MA-15_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.4wc9.fksj
title: /TTToHcToWAToMuMu_MHc-130_MA-15_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.frtyns
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athous strictus (Candèze, 1863)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070566-241126133413365/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.jyu7.vk2h
title: /TTToHcToWAToMuMu_MHc-130_MA-55_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jz52.azri
title: /TTToHcToWAToMuMu_MHc-130_MA-55_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.15468/dl.xh6s9n
title: Occurrence Download

description: A dataset containing 8712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "Geometry POLYGON((34.9156 27.96078,35.3174 27.96078,35.3174 28.323,34.9156 28.323,34.9156 27.96078))",
 "HasGeospatialIssue is false",
 "Year 2010-2025"
 ]
}

 The dataset includes 8712 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070565-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3azdj
title: Occurrence Download

description: A dataset containing 728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Gambia, Sierra Leone, Mauritania, Liberia, Nigeria, Niger, Cabo Verde, Côte d’Ivoire, Ghana, Togo)",
 "OccurrenceStatus is Present",
 "TaxonKey is Boscia senegalensis Lam."
 ]
}

 The dataset includes 728 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070567-241126133413365/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.11lv.k17r
title: /TTToHcToWAToMuMu_MHc-130_MA-90_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.bj0p.s77g
title: /TTToHcToWAToMuMu_MHc-130_MA-90_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.7thv.3j4f
title: /TTToHcToWAToMuMu_MHc-160_MA-120_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.5281/zenodo.14039921
title: Health&Gait: a dataset for gait-based analysis

description: This repository contains the Health&Gait dataset, the first that enables gait analysis using visual information without specific sensors, relying solely on cameras. The dataset includes multimodal features extracted from videos, and gait parameters and anthropometric measurements from each participant. This dataset is intended for use in health, sports and gait analysis research.

Health&Gait consists of 1,564 videos of 398 participants walking in a controlled closed environment, where each video has associated the following information:



2D pose estimation of their joints by AlphaPose (JSON format files).

Semantic segmentation by DensePose (PNG images).

Optical flow by TVL1 and GMFlow (PNG images).

Silhouette by YOLOV8 (JPEG images).


Moreover, for each subject, the following data has been recorded:



Anthropometric measurements.

Gait parameters obtained from OptoGait and MuscleLAB.

Gait parameters estimated from pose information.
DOI: 10.5281/zenodo.14039922
title: Health&Gait: a dataset for gait-based analysis

description: This repository contains the Health&Gait dataset, the first that enables gait analysis using visual information without specific sensors, relying solely on cameras. The dataset includes multimodal features extracted from videos, and gait parameters and anthropometric measurements from each participant. This dataset is intended for use in health, sports and gait analysis research.

Health&Gait consists of 1,564 videos of 398 participants walking in a controlled closed environment, where each video has associated the following information:



2D pose estimation of their joints by AlphaPose (JSON format files).

Semantic segmentation by DensePose (PNG images).

Optical flow by TVL1 and GMFlow (PNG images).

Silhouette by YOLOV8 (JPEG images).


Moreover, for each subject, the following data has been recorded:



Anthropometric measurements.

Gait parameters obtained from OptoGait and MuscleLAB.

Gait parameters estimated from pose information.
DOI: 10.7483/opendata.cms.u1rf.dhqp
title: /TTToHcToWAToMuMu_MHc-160_MA-120_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.h5av.d1kb
title: /TTToHcToWAToMuMu_MHc-160_MA-155_MultiLepFilter_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM