cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14897466.v1
title: Aotearoa|New Zealand coastal Diptera surveys

description: These datasets provide a record of Diptera found around the coast of Aotearoa|New Zealand.A total of 257 species or morphospecies were identified in total from surveys of both the overall coastal communities and wrack communities.The data also includes information on the ecology, geography, and general conditions present at each collection site. See methods below and ReadMe file (including ReadMe tabs provided within each spreadsheet) for more detailed information.<br>Methods: We surveyed 109 coastal sites distributed around Aotearoa|New Zealand’s three main islands, with 59 sites in the North Island, 47 sites in the South Island, and three sites on Rakiura|Stewart Island. Each site was visited once and sampling trips were made over a three-year period from 2017 – 2019 during the months October – April. Wrack community surveys At sites where wrack was present (n = 79 sites) we carried out standardised collections of the Diptera present on and/or within wrack. For each wrack sample we placed a clear plastic bucket (22cm (L) x 22cm (W) x 23cm (D)) over patches of wrack and held the bucket in place for two minutes to allow time for any flies within the wrack to emerge and move up into the bucket. At each site with wrack we collected ten samples a minimum of 1m apart, with the exception of five sites. At two of these sites we collected 12 samples to ensure we had fully captured the variation in the wrack population present, and at three sites we collected fewer than the ten samples due to lack of wrack for repeat sampling. Overall coastal community surveys We also carried out standardised hand collection surveys at all sites. At each site we spent one hour searching the entire local coastal environment. This area was bounded by the supralittoral zone and current waterline. The searching technique included spending focussed time in all of these different microhabitats to collect as many different species as possible.<br><br>
DOI: 10.7483/opendata.cms.nat5.paqk
title: /QstarToQZ_M-6000_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbje.smt6
title: /QBHToEMu_M-6500_n5_ADD_TuneCUETP8M1_13TeV-QBH-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbjf.r99v
title: /BlackHole_BH2_MD-4000_MBH-11000_n-4_TuneCUETP8M1_13TeV-blackmax/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbk6.dqpy
title: /GluGluSpin0ToZGamma_ZToQQ_W_10-p-0_M_3250_TuneCUEP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbng.u5ch
title: /LQToUE_ENuJJFilter_M-250_BetaHalf_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbu5.1gyr
title: /VBFHToGG_M120_13TeV_amcatnlo_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbu8.tgpt
title: /ZH_HToZZ_4LFilter_M126_13TeV_powheg2-minlo-HZJ_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nbwq.9wte
title: /GluGluSpin0ToZG_ZToLL_W-1p4_M-765_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nccm.qrdx
title: /RSGravToGG_kMpl-001_M-7000_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_0T_magnetOffBS0T_76X_mcRun2_0T_v1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ncdo.1met
title: /SUSYGluGluToBBHToBB_M-250_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1Raw_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ncer.nnjk
title: /ChargedHiggs_HplusTB_HplusToTauNu_M-350_13TeV_amcatnlo_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nchs.5raq
title: /SLQ_Rhanded-MLQ500g1r1_13TeV-calchep/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ncmk.p5dj
title: /LongLivedChi0ToNuLL_MSquark-350_MChi-105_CTau-1mmTo1000mm_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ncnl.dlc6
title: /TstarTstarToTgammaTgluon_M-1000_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ncpt.x9pu
title: /ZH_HToZZ_4LFilter_M270_13TeV_powheg2-minlo-HZJ_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ncx2.vik9
title: /ST_tW_top_5f_scaledown_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ndn2.pdsw
title: /gluinoGMSB_M1500_ctau1000p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.17292965
title: Shear and solid-liquid separation behaviour of anaerobic digested sludge across a broad range of solids concentrations for CFD modelling

description: In this work, the shear properties of an anaerobic sludge were measured from 0.4 to 12.5 vol%, which corresponds to the solids concentrations seen in lagoons. The sludge showed Newtonian behaviour at 0.4 vol% and Herschel-Bulkley yield stress fluid behaviour for higher concentrations ranging from 0.5 to 12 vol%. We compared multiple approaches to determine relationships between the model fitting parameters of consistency, <i>k</i>, flow index, <i>n</i>, and shear yield stress, <i>t</i><i><sub>y</sub></i> with solids volume fraction <i>f</i>. The solid-liquid separation properties were measured from sedimentation and filtration experiments to obtain compressibility and permeability properties across all the above-mentioned concentrations, enabling development of hindered velocity sedimentation curves.
DOI: 10.6084/m9.figshare.17292965.v2
title: Shear and solid-liquid separation behaviour of anaerobic digested sludge across a broad range of solids concentrations for CFD modelling

description: In this work, the shear properties of an anaerobic sludge were measured from 0.4 to 12.5 vol%, which corresponds to the solids concentrations seen in lagoons. The sludge showed Newtonian behaviour at 0.4 vol% and Herschel-Bulkley yield stress fluid behaviour for higher concentrations ranging from 0.5 to 12 vol%. We compared multiple approaches to determine relationships between the model fitting parameters of consistency, <i>k</i>, flow index, <i>n</i>, and shear yield stress, <i>t</i><i><sub>y</sub></i> with solids volume fraction <i>f</i>. The solid-liquid separation properties were measured from sedimentation and filtration experiments to obtain compressibility and permeability properties across all the above-mentioned concentrations, enabling development of hindered velocity sedimentation curves.
DOI: 10.6084/m9.figshare.17292965.v1
title: Shear and solid-liquid separation behaviour of anaerobic digested sludge across a broad range of solids concentrations for CFD modelling

description: In this work, the shear properties of an anaerobic sludge were measured from 0.4 to 12.5 vol%, which corresponds to the solids concentrations seen in lagoons. The sludge showed Newtonian behaviour at 0.4 vol% and Herschel-Bulkley yield stress fluid behaviour for higher concentrations ranging from 0.5 to 12 vol%. We compared multiple approaches to determine relationships between the model fitting parameters of consistency, <i>k</i>, flow index, <i>n</i>, and shear yield stress, <i>t</i><i><sub>y</sub></i> with solids volume fraction <i>f</i>. The solid-liquid separation properties were measured from sedimentation and filtration experiments to obtain compressibility and permeability properties across all the above-mentioned concentrations, enabling development of hindered velocity sedimentation curves.
DOI: 10.7483/opendata.cms.ndun.3ext
title: /SeesawTypeIII_SIGMAplusSIGMA-HW_M-580_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ne35.1bt9
title: /DMV_NNPDF30_Vector_Mphi-1000_Mchi-500_gSM-0p25_gDM-1p0_v2_13TeV-powheg/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ne3w.a6oi
title: /ADDGravToGG_MS-4000_NED-4_KK-1_M-2000To4000_13TeV-sherpa/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ne6n.p1f7
title: /gluinoGMSB_M1400_ctau10000p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.neek.zme1
title: /ChargedHiggs_HplusTB_HplusToTauNu_M-400_13TeV_amcatnlo_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nei5.j1iv
title: /HToZATo2L2B_MH-200_MA-50_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.neps.jb9y
title: /TstarTstarToTgammaTgluon_M-1200_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nepv.a5l5
title: /TprimeBToBW_M-700_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nev1.ppqk
title: /QCD_Pt-35toInf_fwdJet_bwdJet_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_castor_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nf5j.2ol5
title: /SeesawTypeIII_SIGMAplusSIGMA-ZZ_M-300_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nfb4.lk2j
title: /GluGluToBulkGravitonToHHTo2B2Tau_M-400_narrow_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12_ext1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nfl3.zjno
title: /WprimeToTB_plusSM_TToLep_M-3300_LH_TuneCUETP8M1_13TeV-comphep-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ng09.qf6k
title: /ttHToZG_M130_13TeV_powheg_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ngap.zcc6
title: /ADDmonoPhoton_MD-2_d-6_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ngcy.ttdt
title: /gluinoGMSB_M1100_ctau1000p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nghz.7fqa
title: /BlackHole_BH2_MD-4000_MBH-5000_n-2_TuneCUETP8M1_13TeV-blackmax/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ngj5.v8gu
title: /BlackHole_BH1_MD-4000_MBH-5000_n-4_TuneCUETP8M1_13TeV-blackmax/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ngtp.bhe0
title: /ADDGravToLL_LambdaT-6500_M-1700_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nh01.e7k5
title: /RSGravToWW_kMpl01_M-600_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nhlo.1uv8
title: /GluGluSpin0ToZG_ZToLL_W-0p014_M-1250_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nhlv.sy8z
title: /LQLQToTopMu_M-200_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ni6n.dg7q
title: /DarkMatter_MonoZToLL_A_Mx-1_Mv-500_gDMgQ-1_TuneCUETP8M1_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nifx.5ncx
title: /SMS-T2bH_mSbottom-500_mLSP-200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.6084/m9.figshare.9738839
title: SMSNet's training datasets (WCU-MS-ALL)

description: This is the WCU-MS-ALL dataset of MS/MS spectra for unmodified peptides and modified peptides with oxidation of M or phosphorylation of STY, aggregated from the dataset used to train and evaluated SMSNet (https://pubmed.ncbi.nlm.nih.gov/31591261/).<br><br>Each row of the file contains raw file ID (this can be used to group spectra from the same experiment), PEP score (from MaxQuant's evidence), peptide sequence (MaxQuant's style), modification (MaxQuant's style), charge state, precursor m/z, retention time, and the observed MS/MS peaks in csv format.<br><br><b>Updated 9 December 2021</b>Due to limited 20GB constraint, we have to migrate the files to our Google Drive instead. Please find the files, split into 8 parts, at https://drive.google.com/drive/folders/19E6Wz_xpRHRCYiolsduT8z74C6niOrbW?usp=sharing
DOI: 10.6084/m9.figshare.9738839.v1
title: SMSNet's training datasets (WCU-MS-ALL)

description: The full WCU-MS-ALL training datasets for SMSNet that was used to train the released model (DOI: 10.6084/m9.figshare.8259122). This dataset contains roughly 25 million MS/MS spectra of unmodified peptides, peptides with Methionine oxidation, and peptides with phosphorylation. Identifications were made with MaxQuant (various versions) with FDR &lt;5% at peptide level.<br>The file format is tab-separated. The columns contain: peptide sequence, precursor charge state, observed precursor m/z, PEP score (from MaxQuant), Andromeda search score (from MaxQuant), and observed MS/MS peaks. The dataset is split into 3 files due to 5GB size limit.
DOI: 10.7483/opendata.cms.niv6.z7zy
title: /ZprimeToTauTau_M_4500_TuneCUETP8M1_tauola_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.niw3.swvk
title: /TTJets_HT-1200to2500_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nj4i.ydtb
title: /SeesawTypeIII_SIGMAplusSIGMA0HW_M-260_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.6084/m9.figshare.9734105
title: SMSNet's training datasets (WCU-MS-BEST, DeepNovo, ProteomeTools)

description: This is the WCU-MS-BEST dataset of non-redundant MS/MS spectra for 1,217,750 unmodified peptides aggregated from the dataset used to train and evaluated SMSNet (https://pubmed.ncbi.nlm.nih.gov/31591261/). <br>Each row of the file contains raw file ID (this can be used to group spectra from the same experiment), PEP score (from MaxQuant's evidence), peptide sequence (MaxQuant's style), modification (MaxQuant's style), charge state, precursor m/z, retention time, and the observed MS/MS peaks in csv format.<br><br><b>Updated 9 December 2021</b>Due to limited 20GB constraint, we have to remove the DeepNovo and ProteomeTools datasets. Please download these datasets from the original sources listed below:<br>DeepNovo dataset consists of peptides identified through high-resolution MS/MS spectra on Q Exactive instruments as described in the DeepNovo article (Tran <i>et al</i>. PNAS 114:8247-8252, 2017). PRIDE accessions for these experiments are PXD005025, PXD004948, PXD004325, PXD004565,PXD004536, PXD004947, PXD003868, PXD004467, and PXD004424.<br>ProteomeTools dataset consists of synthetic peptides identified through high-resolution MS/MS spectra on Orbitrap Fusion Lumos as described in the ProteomeTools article (Zolg <i>et al</i>. Nat Methods 14:259-262, 2017).
DOI: 10.7483/opendata.cms.njaj.4la7
title: /GluGluSpin0ToZG_ZToLL_W-0p014_M-3000_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_0T_76X_mcRun2_0T_v1-v1/MINIAODSIM
DOI: 10.6084/m9.figshare.9734105.v2
title: SMSNet's training datasets (WCU-MS-BEST, DeepNovo, ProteomeTools)

description: Training datasets for SMSNet for comparison with DeepNovo (Figure 2 in https://www.biorxiv.org/content/10.1101/667527v1). In .csv files, each row contain information of a peptide-spectrum match. Files ending with _tgt.csv contain the peptide amino acid sequence in the same ordering as the corresponding .csv files. These _tgt.csv files are provided for direct compatibility with SMSNet's training script (https://github.com/korrawe/SMSNet).<br>For the WCU-MS-BEST dataset, each row of the .csv files contains peptide sequence, charge state, observed m/z, PEP score (from MaxQuant's evidence output file), Andromeda search score (from MaxQuant's evidence output file), and the observed MS/MS peaks.<br><b>Updated 9 December 2021</b>Due to limited 20GB constraint, we have to remove the DeepNovo and ProteomeTools datasets. Please download these datasets from the original publications listed below:<br>DeepNovo dataset consists of peptides identified through high-resolution MS/MS spectra on Q Exactive instruments as described in the DeepNovo article (Tran <i>et al</i>. PNAS 114:8247-8252, 2017). PRIDE accessions for these experiments are PXD005025, PXD004948, PXD004325, PXD004565,PXD004536, PXD004947, PXD003868, PXD004467, and PXD004424.<br>ProteomeTools dataset consists of synthetic peptides identified through high-resolution MS/MS spectra on Orbitrap Fusion Lumos as described in the ProteomeTools article (Zolg <i>et al</i>. Nat Methods 14:259-262, 2017).
DOI: 10.7483/opendata.cms.nje7.zhcw
title: /Mustar_MuG_L10000_m1500_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.njm1.5qam
title: /HSCPmchamp3_M-2200_TuneZ2star_13TeV_pythia6/RunIIFall15MiniAODv2-PU25nsData2015v1_HSCP_customise_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.njy4.sv0p
title: /WJetsToQQ_HT-600ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.njzj.bljj
title: /Mustar_MuG_L10000_m4500_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nk6w.utwp
title: /HSCPmchamp3_M-1800_TuneZ2star_13TeV_pythia6/RunIIFall15MiniAODv2-PU25nsData2015v1_HSCP_customise_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nkau.3836
title: /BprimeBToTW_M-1100_RH_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nkfn.art5
title: /LQToCMu_MuNuJJFilter_M-2000_BetaHalf_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nkgb.nx7k
title: /MajoranaNeutrinoToEE_M-1250_TuneCUETP8M1_13TeV-alpgen_v2/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nkh5.zii9
title: /ChargedHiggs_HplusTB_HplusToTauNu_M-500_13TeV_amcatnlo_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nkok.815k
title: /RPVStopStopToJets_UDD312_M-1100_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nl3d.vyu8
title: /gluinoGMSB_M1050_ctau300p0_TuneCUETP8M1_13TeV_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nl79.60s2
title: /GluGluHToZZTo4L_M165_13TeV_powheg2_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nlap.mqde
title: /GluGluSpin0ToZG_ZToLL_W-5p6_M-500_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nlax.gjxc
title: /MinBias_TuneZ2_7TeV-pythia6/Summer11Leg-START53_LV4-v1/GEN-SIM
DOI: 10.7483/opendata.cms.nldx.xgp5
title: /AToZhToLLTauTau_M-280_13TeV_madgraph_4f_LO/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nlq5.0gmx
title: /WprimeToTauNu_M-5800_TuneCUETP8M1_13TeV-pythia8-tauola/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nlse.i1r9
title: /SeesawTypeIII_SIGMAplusSIGMA0WZ_M-140_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nlv3.uae3
title: /RadionToZZToZlepZhad_width0p3_M-4000_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nlyv.61c6
title: /BulkGravTohhTohVVhbb_narrow_M-800_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nm02.whkw
title: /ZprimeToWWToWlepWhad_narrow_M-1200_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nm5h.2c6m
title: /WRToNuEToEEJJ_MW-3200_MNu-1600_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nmib.605t
title: /GluGluSpin0ToZG_ZToLL_W-0p014_M-3250_TuneCUEP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_0T_76X_mcRun2_0T_v1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nmio.u9mc
title: /GluGluHToWWTo2L2Nu_M250_13TeV_powheg_JHUgenv628_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nmrf.7bbg
title: /ZprimeToA0hToA0chichihZZTo4l_2HDM_MZp-2500_MA0-700_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nnik.pkte
title: /TT_Mtt-1000toInf_TuneCUETP8M1_13TeV-powheg-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12_ext1-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.nnni.5fep
title: /GluGluHToZZTo4L_M230_13TeV_powheg2_JHUgenV6_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.no09.777m
title: /BBbarDMJets_scalar_Mchi-1_Mphi-1000_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.no34.quj9
title: /DMV_NNPDF30_Vector_Mphi-1500_Mchi-400_gSM-0p25_gDM-1p0_v2_13TeV-powheg/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v4/MINIAODSIM
DOI: 10.18112/openneuro.ds003798.v1.0.5
title: Caltech Conte Center - A multimodal data resource for exploring social cognition and decision-making.
DOI: 10.7483/opendata.cms.nodn.307u
title: /DMS_NNPDF30_Pseudoscalar_Mphi-1500_Mchi-350_gSM-1p0_gDM-1p0_v2_13TeV-powheg/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nodu.hvxl
title: /BprimeTToTW_M-700_RH_TuneCUETP8M1_13TeV-madgraph-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.noum.vxil
title: /WprimeToTB_plusSM_TToHad_M-3200_LH_TuneCUETP8M1_13TeV-comphep-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.np73.pzec
title: /SeesawTypeIII_SIGMAplusSIGMA-WZ_M-660_13TeV-madgraph/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.npa0.2myx
title: /WToTauNu_M-500_TuneCUETP8M1_13TeV-pythia8-tauola/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.npbl.63pu
title: /ChargedHiggs_HplusTB_HplusToTauNu_M-220_13TeV_amcatnlo_pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.npcq.0bah
title: /HSCPmchamp6_M-2200_TuneZ2star_13TeV_pythia6/RunIIFall15MiniAODv2-PU25nsData2015v1_HSCP_customise_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.npjs.zxor
title: /WprimeToTB_plusSM_TToHad_M-2300_LH_TuneCUETP8M1_13TeV-comphep-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.npra.ixyz
title: /SUSYGluGluToBBHToTauTau_M-180_TuneCUETP8M1_13TeV-pythia8/RunIIFall15MiniAODv2-PU25nsData2015v1_76X_mcRun2_asymptotic_v12-v1/MINIAODSIM