cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.0ljn.0w4k
title: /ZprimeToA0hToA0chichihAA_2HDM_MZp-2500_MA0-500_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0m45.2klh
title: /ADDGravToGG_MS-3000_NED-2_KK-4_M-2000To3000_13TeV-sherpa/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0m6n.a6py
title: /BlackHole_BH5_MD-6000_MBH-8000_n-2_TuneCUETP8M1_13TeV-blackmax/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0mql.g01w
title: /BulkGravToWWToWlepWhad_narrow_M-4500_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0mrg.43t4
title: /SUSYGluGluToBBa1ToTauTau_M-55_FilterMuOrEle15_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0msu.xgej
title: /RadionToZZToZlepZinv_narrow_M-600_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0mue.w57l
title: /WprimeToTB_plusSM_TToLep_M-800_mixed_sqrt_13TeV-comphep/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0n1x.j3ry
title: /bbHToWWTo2L2Nu_M-125_4FS_ybyt_13TeV_amcatnlo/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0n2c.e3ul
title: /DYJetsToLL_M-10to50_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12_ext3-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0n8d.vq1e
title: /GluGluToBulkGravitonToHHTo2B2VTo2L2Nu_M-700_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0nb1.0s93
title: /RSGravTohhTohtatahbb_narrow_M-3500_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0ndn.1qrc
title: /gluinoGMSB_M1750_ctau300p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0nez.6qkz
title: /SLQ_Lhanded-MLQ500g1l0p8_13TeV-calchep/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0nhj.nco0
title: /ggZH_HToBB_ZToLL_M125_13TeV_powheg_pythia8_CUETP8M1Up/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0nif.m5hp
title: /ZprimeToA0hToA0chichihbb_2HDM_MZp-1700_MA0-500_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0nim.nwcz
title: /WprimeToTB_plusSM_TToLep_M-2900_mixed_sqrt_13TeV-comphep/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25721/bxaz-kb93
title: Information sur le sac sans soufflet
DOI: 10.7483/opendata.cms.0nqk.3sof
title: /RPVStopStopToJets_UDD312_M-180_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0nwt.4v3f
title: /RSGravTohhTohVVhbbToVVfullLep_narrow_M-2500_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0ny8.ajfv
title: /WprimeToWZToWhadZlep_narrow_M-3000_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0o0j.ec7c
title: /GluGluToHHTo2B2G_node_12_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0o1b.2r3p
title: /GluGluToBulkGravitonToHHTo2B2VTo2L2Nu_M-400_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0o7w.a5qq
title: /WprimeToENu_M-1600_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0o85.d3hd
title: /GluGluToBulkGravitonToHHTo4B_M-700_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0ovx.v2hj
title: /GluGluSpin0ToGG_W-0p014_M-4500_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_0T_magnetOffBS0T_76X_mcRun2_0T_v1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0p5g.9y3a
title: /WminusH_HToZZTo4L_M130_13TeV_powheg2-minlo-HWJ_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25721/9q0p-w955
title: Information sur le "canelou"
DOI: 10.7483/opendata.cms.0pjg.tun9
title: /GluGluHToZZTo4L_M400_13TeV_powheg2_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0pnu.trws
title: /RPVStopStopToJets_UDD312_M-950_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0ppt.eqnp
title: /SMS-T2bH_mSbottom-400_mLSP-150_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0pqo.58gt
title: /ZprimeToZhToZhadhbb_narrow_M-4000_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0pqo.cbwn
title: /ADDmonoPhoton_MD-1_d-5_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0q0a.8fod
title: /RSGravToGG_kMpl-01_M-6000_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0q0p.bqir
title: /QstarToGJ_M-4000_f-0p5_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0q0r.tmnq
title: /GluGluToBulkGravitonToHHTo2B2G_M-300_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0q5m.pipg
title: /VBF_RadionToZZ_narrow_M-1800_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.5281/zenodo.5793366
title: Considerations on baseline generation for Imaging AI studies illustrated on the CT-based prediction of empyema and outcome assessment.

description: <strong>Considerations on baseline generation for Imaging AI studies illustrated on the CT-based prediction of empyema and outcome assessment.</strong> <strong>Introduction</strong>: For AI-based classification tasks in computed tomography, a reference standard for evaluating the clinical diagnostic accuracy of individual classes is essential. To enable the implementation of an AI tool in clinical practice, this should be drawn from clinical routine data, using State-of-the-art scanners, evaluated in a blinded manner, and verified with a reference test. <strong>Methods: </strong>2659 consecutive CTs performed between 01/2016 and 01/2021 with reported pleural effusion were retrospectively included. Pathology reports from thoracocentesis or biopsy within 7 days of CT were used as reference standard (n = 335). Two radiologists (4 and 10 PGY) blindly assessed chest CTs (n=335, 81 empyemas) for pleural CT features and ICC was determined. In addition, both pleural CT features and radiological diagnosis were extracted from written radiological reports. If needed, consensus was achieved using an experienced radiologist's opinion (29 PGY). We assessed the correlation of these findings with the following patient outcomes: mortality and median hospital stay. <strong>Results: </strong>Specificity and sensitivity for clinical detection of empyema (N=81) were 90.94 (95%-CI 86.55-94.05) and 72.84 (95%-CI: 61.63-81.85%) in all effusions, with moderate to almost perfect interrater agreement for all pleural findings associated with empyema (Cohen's kappa = 0.41-0.82). Features describing pleural enhancement or thickening achieved the highest accuracy with 87.02% and 81.49%, respectively. Empyema was associated with a longer hospital stay (median= 20 versus 14 days), and findings consistent with pleural carcinosis impacted mortality.
DOI: 10.5281/zenodo.5793365
title: Considerations on baseline generation for Imaging AI studies illustrated on the CT-based prediction of empyema and outcome assessment.

description: <strong>Considerations on baseline generation for Imaging AI studies illustrated on the CT-based prediction of empyema and outcome assessment.</strong> <strong>Introduction</strong>: For AI-based classification tasks in computed tomography, a reference standard for evaluating the clinical diagnostic accuracy of individual classes is essential. To enable the implementation of an AI tool in clinical practice, this should be drawn from clinical routine data, using State-of-the-art scanners, evaluated in a blinded manner, and verified with a reference test. <strong>Methods: </strong>2659 consecutive CTs performed between 01/2016 and 01/2021 with reported pleural effusion were retrospectively included. Pathology reports from thoracocentesis or biopsy within 7 days of CT were used as reference standard (n = 335). Two radiologists (4 and 10 PGY) blindly assessed chest CTs (n=335, 81 empyemas) for pleural CT features and ICC was determined. In addition, both pleural CT features and radiological diagnosis were extracted from written radiological reports. If needed, consensus was achieved using an experienced radiologist's opinion (29 PGY). We assessed the correlation of these findings with the following patient outcomes: mortality and median hospital stay. <strong>Results: </strong>Specificity and sensitivity for clinical detection of empyema (N=81) were 90.94 (95%-CI 86.55-94.05) and 72.84 (95%-CI: 61.63-81.85%) in all effusions, with moderate to almost perfect interrater agreement for all pleural findings associated with empyema (Cohen's kappa = 0.41-0.82). Features describing pleural enhancement or thickening achieved the highest accuracy with 87.02% and 81.49%, respectively. Empyema was associated with a longer hospital stay (median= 20 versus 14 days), and findings consistent with pleural carcinosis impacted mortality.
DOI: 10.6084/m9.figshare.17297771
title: Data on hourly temperature in winter at Sea Spray Shore and Tor Bay Provincial Park

description: Data on hourly temperature measured in intertidal and nearby terrestrial habitats in winter at Sea Spray Shore and at Tor Bay Provincial Park, Nova Scotia, Canada.
DOI: 10.6084/m9.figshare.17297771.v1
title: Data on hourly temperature in winter at Sea Spray Shore and Tor Bay Provincial Park

description: Data on hourly temperature measured in intertidal and nearby terrestrial habitats in winter at Sea Spray Shore and at Tor Bay Provincial Park, Nova Scotia, Canada.
DOI: 10.7483/opendata.cms.0q7c.l9k7
title: /GluGluToRadionToHHTo2B2Tau_M-250_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25721/ttgr-px92
title: Information sur le pied de cabrette de Monsieur Paul Galtier
DOI: 10.7483/opendata.cms.0q9r.bslj
title: /QCD_HT1500to2000_GenJets5_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0qa2.3emz
title: /X53X53_M-1100_LH_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0qah.5be9
title: /gluinoGMSB_M1850_ctau1p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0qeu.izw2
title: /GluGluToRSGravitonToHHTo2B2Tau_M-600_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0r3b.pcc8
title: /SeesawTypeIII_SIGMAplusSIGMA0WW_M-540_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0r8f.yrdf
title: /WprimeToENu_M-5000_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0re8.xolx
title: /WToENu_M-2000_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_0T_76X_mcRun2_0T_v1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0rgx.wqr5
title: /GluGluToHiggs0PMContinToZZTo2e2tau_M125_10GaSM_13TeV_MCFM701_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25345/c5000h
title: MassIVE MSV000088591 - GNPS-GCMS molecular networking of volatile oils of curcuma plants
title: GC-MS Molecular networking of VC from curcuma plants
DOI: 10.7483/opendata.cms.0rv4.9pe6
title: /WplusH_HToZZTo4L_M400_13TeV_powheg2-minlo-HWJ_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0rx7.k7q6
title: /TprimeBToTZ_M-1200_LH_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v5/MINIAODSIM
DOI: 10.25721/dy7c-g608
title: Information sur l'anche du bourdon
DOI: 10.7483/opendata.cms.0ryu.bkrm
title: /EEG_PTG10To13000_MEE50_13TeV_sherpa/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0s2k.4s7k
title: /Monotop_S1_Mres-1100_Mchi-100_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0s6a.33g5
title: /WRToNuEToEEJJ_MW-5600_MNu-2800_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0skd.gxqs
title: /ZprimeToTT_M-2000_W-200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.15129/75e09e94-376e-481f-85dc-c02d4a63c1e7
title: Data for: "Parametric study of high-energy ring-shaped electron beams from a laser wakefield accelerator"

description: This dataset contains experimental and simulation results on the generation of ring electron beams from a laser-wakefield accelerator. Experiments were performed using the ASTRA-GEMINI laser at the Central Laser Facility, Rutherford Appleton Laboratory, UK. Simulations were performed using the code FBPIC (https://fbpic.github.io) and GPT (http://www.pulsar.nl/gpt/). This data is the basis of the paper by A. Maitrallain et. al. "Parametric study of high-energy ring-shaped electron beams from a laser wakefield accelerator" accepted in New Journal of Physics.
DOI: 10.7483/opendata.cms.0smz.nm7r
title: /gluinoGMSB_M1300_ctau10000p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0snu.66km
title: /LQLQToTopE_M-700_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0sor.j0ij
title: /BprimeBToTW_M-1000_LH_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0sxz.3r7j
title: /GluGluToRSGravitonToHHTo2B2VTo2L2Nu_M-700_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0t61.gwz9
title: /gluinoGMSB_M1500_ctau1p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0tif.cfb0
title: /VBFHToBB_M-125_13TeV_powheg_pythia8_weightfix_CUETP8M1Up/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0tnz.cam3
title: /WprimeToTauNu_M-4600_TuneCUETP8M1_13TeV-pythia8-tauola/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0toe.hage
title: /ZToEE_M_120_200_NNPDF30_13TeV_powheg_herwigpp/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0tpw.bp94
title: /WprimeToWZToLNQQ_M-800_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0twy.2glp
title: /QCD_Pt-30to50_EMEnriched_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0u3l.144c
title: /WprimeToTB_plusSM_TToHad_M-1100_LH_TuneCUETP8M1_13TeV-comphep-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25721/d3yt-a838
title: Information sur le trou du bourdon
DOI: 10.7483/opendata.cms.0uqi.25tm
title: /ZH_HToZZ_4LFilter_M175_13TeV_powheg2-minlo-HZJ_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0utm.gof0
title: /DarkMatter_MonoPhoton_AV_Mx-150_Mv-295_gDMgQ1_LO_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0v9d.cah3
title: /RPVresonantToEMu_M-5000_LLE_LQD-001_TuneCUETP8M1_13TeV-calchep-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0v9u.e2jf
title: /DarkMatter_MonoPhoton_AV_Mx-1_Mv-50_gDMgQ1_LO_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0vfg.ojyk
title: /BlackHole_BH5_MD-5000_MBH-6000_n-4_TuneCUETP8M1_13TeV-blackmax/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0vhg.7axc
title: /VBFHToWWTo2L2Nu_M750_13TeV_powheg_JHUgenv628_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0vnw.up57
title: /RSGravToZZ_width0p3_M-4000_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0vpg.y2bp
title: /GluGluSpin0ToGG_W-0p014_M-745_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0vxr.x9ns
title: /GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0vyg.0oc6
title: /ggZH_HToInv_ZToLL_M125_13TeV_powheg_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0wcl.4a3y
title: /WprimeToTauNu_M-3400_TuneCUETP8M1_13TeV-pythia8-tauola/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0wip.r5sh
title: /ZprimeToTprimeT_TprimeToWB_MZp-2000Nar_MTp-1500Nar_LH_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0wkk.bgky
title: /DoubleMuonLowMass/Run2015D-16Dec2015-v1/AOD
DOI: 10.7483/opendata.cms.0wri.2s5n
title: /RSGravToWWToWlepWhad_width0p1_M-1200_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0x5e.kuaz
title: /SinglePion_PT200to500/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25592/uhhfdm.9761
title: The Impact of COVID-19 On Blood Donations

description: During a crisis society calls for individuals to take prosocial actions that promote crisis management. Indeed, individuals show higher willingness to help after a disaster. The COVID-19 pandemic, however, presents significant differences, as it’s a long-term crisis that affects every individual, and poses a direct health threat. Therefore, we propose that the pandemic negatively affects willingness to help, specifically blood donation intentions. It requires a high level of willingness to donate blood beyond the crisis outbreak, as more blood is needed when postponed surgeries resume. When comparing blood donation intentions from a pre-pandemic study to results from a six-wave (bi-weekly) panel study conducted during the first pandemic phase (April to June 2020) in Germany, we find lower blood donation intentions, especially in the medium and long term. While active donors show increased awareness of ability and eligibility to donate at the beginning of the pandemic compared to pre-pandemic, they feel significantly less able to donate as the pandemic progresses. The perceived ability to donate of inactive donors significantly decreases in the pandemic phase compared to the pre-pandemic phase. Crucially, both active and inactive donors feel less responsible and less morally obliged to donate, leading to an overall negative pandemic effect on blood donation intentions. The COVID-19 pandemic compromises blood donations endangering the life-saving blood supply. These alarming results offer evidence-based grounds for practical implications on driving donations in the event of a pandemic.
DOI: 10.7483/opendata.cms.0x6l.rdzf
title: /RPVresonantToETau_M-300_LLE_LQD-001_TuneCUETP8M1_13TeV-calchep-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0x8i.221b
title: /QBHToEMu_M-5500_n1_RS_TuneCUETP8M1_13TeV-QBH-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.25721/hfyy-1y93
title: Expérience avec le trou du bourdon
DOI: 10.7483/opendata.cms.0xs0.qnkd
title: /ZH_HToZZ_4LFilter_M135_13TeV_powheg2-minlo-HZJ_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0xsz.fc94
title: /GluGluToBulkGravitonToHHTo2B2Tau_M-320_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12_ext1-v1/MINIAODSIM
DOI: 10.25592/uhhfdm.9762
title: The Impact of COVID-19 On Blood Donations

description: During a crisis society calls for individuals to take prosocial actions that promote crisis management. Indeed, individuals show higher willingness to help after a disaster. The COVID-19 pandemic, however, presents significant differences, as it’s a long-term crisis that affects every individual, and poses a direct health threat. Therefore, we propose that the pandemic negatively affects willingness to help, specifically blood donation intentions. It requires a high level of willingness to donate blood beyond the crisis outbreak, as more blood is needed when postponed surgeries resume. When comparing blood donation intentions from a pre-pandemic study to results from a six-wave (bi-weekly) panel study conducted during the first pandemic phase (April to June 2020) in Germany, we find lower blood donation intentions, especially in the medium and long term. While active donors show increased awareness of ability and eligibility to donate at the beginning of the pandemic compared to pre-pandemic, they feel significantly less able to donate as the pandemic progresses. The perceived ability to donate of inactive donors significantly decreases in the pandemic phase compared to the pre-pandemic phase. Crucially, both active and inactive donors feel less responsible and less morally obliged to donate, leading to an overall negative pandemic effect on blood donation intentions. The COVID-19 pandemic compromises blood donations endangering the life-saving blood supply. These alarming results offer evidence-based grounds for practical implications on driving donations in the event of a pandemic.
DOI: 10.7483/opendata.cms.0xxy.xkqf
title: /WprimeToTB_plusSM_TToLep_M-2300_mixed_sqrt_13TeV-comphep/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12_ext1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0xz5.75ay
title: /DMV_NNPDF30_Axial_Mphi-300_Mchi-150_gSM-0p25_gDM-1p0_v2_13TeV-powheg/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0ygi.5skc
title: /Taustar_TauG_L10000_m2000_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0yqd.r4do
title: /ZJetsToNuNu_HT-400To600_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0ywx.pp35
title: /ExtendedWeakIsospinModel_eejj_L25000_M500_CalcHEP/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM