cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.vo0n.df6z
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.erva.2yag
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ffkt.8fi9
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3wlj.ehwx
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3nlt.1x6j
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ebwx.gl7d
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1lsj.r7t1
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.twgm.u7q1
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.93oy.ai50
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ccw9.hxxw
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.qpmv.jx33
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3p53.mxl9
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.o948.a4b3
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tl1d.o7ms
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.l51r.0m5u
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17028/rd.lboro.13645850.v1
title: Artificial Symbol Learning With Training - Experiment 2 Data analysis

description: Zip file containing all data and analysis files for Experiment 2 in:Weiers, H., Inglis, M., & Gilmore, C. (under review). Learning artificial number symbols with ordinal and magnitude information.Article abstractThe question of how numerical symbols gain semantic meaning is a key focus of mathematical cognition research. Some have suggested that symbols gain meaning from magnitude information, by being mapped onto the approximate number system, whereas others have suggested symbols gain meaning from their ordinal relations to other symbols. Here we used an artificial symbol learning paradigm to investigate the effects of magnitude and ordinal information on number symbol learning. Across two experiments, we found that after either magnitude or ordinal training, adults successfully learned novel symbols and were able to infer their ordinal and magnitude meanings. Furthermore, adults were able to make relatively accurate judgements about, and map between, the novel symbols and non-symbolic quantities (dot arrays). Although both ordinal and magnitude training was sufficient to attach meaning to the symbols, we found beneficial effects on the ability to learn and make numerical judgements about novel symbols when combining small amounts of magnitude information for a symbol subset with ordinal information about the whole set. These results suggest that a combination of magnitude and ordinal information is a plausible account of the symbol learning process.© The Authors
DOI: 10.7483/opendata.cms.g9wu.0hz4
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.b01z.6q6q
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-30_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.j2mccr
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celmisia incana Hook.fil."
 ]
}

 The dataset includes 608 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072610-241126133413365/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.rdb0.4oao
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.v486.948m
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.np80.jgb0
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.eown.koms
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.y6xp.xkkw
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.ugw9v6
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Faxonius erichsonianus (Faxon, 1898)"
 ]
}

 The dataset includes 475 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072611-241126133413365/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.er4o.u2ls
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qf8n.qq3n
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ypyl.havw
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.mhi6.xe5q
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3y7q.gdsc
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.s6wtpr
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Charadrius morinellus Linnaeus, 1758"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072614-241126133413365/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.7y1g.66ic
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.pb4axy
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polylepis sericea Wedd.",
 "Year 1989-2025"
 ]
}

 The dataset includes 175 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072613-241126133413365/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.kkcq.o4sw
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.e8wp.29u8
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.kfi6.kuhx
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6dal.hgyu
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.y6t0.wwhi
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.jj8qd4
title: Occurrence Download

description: A dataset containing 2229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Artportalen",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 2229 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072612-241126133413365/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.6z42.kog9
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.p4v5.qhfd
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6yqo.k5ci
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.wr0e.tlvf
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.77y0.z3r1
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.owbp.8lkr
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.droo.6xt9
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6xrc.x7f2
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-40_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.v1jc.0ft6
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.me3d.f3ez
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.3dm28e
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crex crex (Linnaeus, 1758)"
 ]
}

 The dataset includes 112 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072615-241126133413365/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.o0su.us6a
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.fbbi.t599
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.yspd.5pgk
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.kj8x4u
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blatta orientalis Linnaeus, 1758",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 304 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072617-241126133413365/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.55e9.bsuw
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ckgf.xygq
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17028/rd.lboro.13645847.v1
title: Artificial Symbol Learning With Training - Experiment 1 materials

description: Materials for Experiment 1 in the paper "Learning Artificial Number Symbols with Ordinal and Magnitude Information".Article abstractThe question of how numerical symbols gain semantic meaning is a key focus of mathematical cognition research. Some have suggested that symbols gain meaning from magnitude information, by being mapped onto the approximate number system, whereas others have suggested symbols gain meaning from their ordinal relations to other symbols. Here we used an artificial symbol learning paradigm to investigate the effects of magnitude and ordinal information on number symbol learning. Across two experiments, we found that after either magnitude or ordinal training, adults successfully learned novel symbols and were able to infer their ordinal and magnitude meanings. Furthermore, adults were able to make relatively accurate judgements about, and map between, the novel symbols and non-symbolic quantities (dot arrays). Although both ordinal and magnitude training was sufficient to attach meaning to the symbols, we found beneficial effects on the ability to learn and make numerical judgements about novel symbols when combining small amounts of magnitude information for a symbol subset with ordinal information about the whole set. These results suggest that a combination of magnitude and ordinal information is a plausible account of the symbol learning process.© The Authors<br>
DOI: 10.7483/opendata.cms.0wyj.dbbd
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.20oj.jcnf
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.mjal.e6by
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jvjd.c6wm
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lq1v.pnb7
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.uejj.43bs
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.kad4.25eb
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.thti.6ohy
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2fi5.6fhw
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kv6b.aq6h
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.yvg5.pscx
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fzvu.ehpy
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3wc4.85jj
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.2iyj.f26g
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zxzd.ye3p
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.88tk.t58g
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3wzf.dgwn
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-50_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.dx9k.nfp2
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-55_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.k3ab.vzvr
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-55_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gaky.igkv
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-55_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hcnv.6coc
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-55_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6084/m9.figshare.26942182
title: Impact of risk factors on the incidence of tunneled dialysis catheter infections: a systematic review and meta-analysis

description: Tunneled dialysis catheters (TDCs) are important for hemodialysis in patients awaiting a permanent surgical solution, kidney transplantation or without feasible surgical access. Infection of a TDC is a common and severe complication, which often requires removal of the TDC and causes high morbidity and mortality. To date, several risk factors for TDC infections have been reported. This systematic review and meta-analysis aim to provide an overview of currently known risk factors. A systematic literature search was conducted, including all studies describing patient-, catheter-, and dialysis-related risk factors for TDC infections. In case sufficient data was available for a risk factor, a meta-analysis with random effects model was performed. Out of 1273 studies, 30 were included describing a total of 71 risk factors. A meta-analysis was conducted for 26 risk factors. The average incidence of TDC infections was 1.16 ± 0.70/1000 catheter days. Diabetes (odds ratio, OR 1.96), coronary artery disease (OR 2.16), peripheral artery disease (OR 2.28), history of sepsis (OR 2.79), and the number of prior TDCs (OR 1.24) were the most significant risk factors for infection. Several risk factors are associated with increased TDC infection rates. Most of these risk factors are also linked with infection in other populations and most likely reflect the general frailty of hemodialysis patients. The association between many risk factors and TDC infections was often unclear due to the low number of studies available. Additional large cohort studies are necessary to demonstrate the relevance of these risk factors.
DOI: 10.6084/m9.figshare.26942182.v3
title: Impact of risk factors on the incidence of tunneled dialysis catheter infections: a systematic review and meta-analysis

description: Tunneled dialysis catheters (TDCs) are important for hemodialysis in patients awaiting a permanent surgical solution, kidney transplantation or without feasible surgical access. Infection of a TDC is a common and severe complication, which often requires removal of the TDC and causes high morbidity and mortality. To date, several risk factors for TDC infections have been reported. This systematic review and meta-analysis aim to provide an overview of currently known risk factors. A systematic literature search was conducted, including all studies describing patient-, catheter-, and dialysis-related risk factors for TDC infections. In case sufficient data was available for a risk factor, a meta-analysis with random effects model was performed. Out of 1273 studies, 30 were included describing a total of 71 risk factors. A meta-analysis was conducted for 26 risk factors. The average incidence of TDC infections was 1.16 ± 0.70/1000 catheter days. Diabetes (odds ratio, OR 1.96), coronary artery disease (OR 2.16), peripheral artery disease (OR 2.28), history of sepsis (OR 2.79), and the number of prior TDCs (OR 1.24) were the most significant risk factors for infection. Several risk factors are associated with increased TDC infection rates. Most of these risk factors are also linked with infection in other populations and most likely reflect the general frailty of hemodialysis patients. The association between many risk factors and TDC infections was often unclear due to the low number of studies available. Additional large cohort studies are necessary to demonstrate the relevance of these risk factors.
DOI: 10.7483/opendata.cms.9zh3.ebtn
title: /WplusH_HTo2LongLivedTo4G_MH-125_MFF-55_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.5281/zenodo.14637658
title: Spatial course data
DOI: 10.5281/zenodo.14637659
title: Spatial course data