cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.usyr.nu4v
title: /WplusminusTo2JWplusminusTo2JJJ_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.25345/c5k931j6h
title: MassIVE MSV000096870 - Source files used for SIRIUS processing
title: High resolution MS1 and MS2 data used for feature annotation by SIRIUS
DOI: 10.7483/opendata.cms.9wdv.5ob5
title: /WplusminusTo2JWplusminusTo2JJJ_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9n14.413p
title: /WplusminusWplusminus2JTo2L2Nu2J_EWK_dim6_mixed_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.in06.sq6n
title: /WplusminusWplusminus2JTo2L2Nu2J_EWK_dim6_mixed_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.lwa0.mjc2
title: /WplusminusWplusminus2JTo2L2Nu2J_EWK_dim6_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/72z9cmv9v3.1
title: Understanding the effect of material and energy on the decoupling CO2 emissions from economic growth: A decomposed decoupling evidence for the top emitters

description: This document includes the dataset and excel functions used in the paper "Understanding the effect of material and energy on the decoupling CO2 emissions from economic growth: A decomposed decoupling evidence for the top emitters"
DOI: 10.7483/opendata.cms.vvhq.04ix
title: /WplusminusWplusminus2JTo2L2Nu2J_EWK_dim6_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/zpxs87bjt8.1
title: Multivariate time series data of milling processes with varying tool wear and machine tools

description: The presented dataset provides labeled, multivariate time series data of milling processes with varying tool wear and for varying machine tools. The width of the flank wear land VB is used as a degradation metric. A total of nine end milling cutters were worn from an unused state to end of life (VB ≈ 150 μm) in 3-axis shoulder milling of cast iron 600-3/S. The tools were of the same model (solid carbide end milling cutter, 4 edges, coated with TiN-TiAlN) but from different batches. Experiments were conducted on three different 5-axis milling centers of a similar size. Workpieces, experimental setups, and process parameters were identical on all of the machine tools. The process forces were recorded with a dynamometer with a sample rate of 25 kHz. The force or torque of the spindle and feed drives, as well as the position control deviation of feed drives, were recorded from the machine tool controls with a sample rate of 500 Hz. The dataset holds a total of 6,418 files labeled with the wear (VB), machine tool (M), tool (T), run (R), and cumulated tool contact time (C). The file “filelist.csv” provides an overview of all the sample files and their corresponding labels. This data could be used to identify signal features that are sensitive to tool wear, to investigate methods for tool wear estimation and tool life prediction, or to examine transfer learning strategies.
DOI: 10.17632/zpxs87bjt8.2
title: Multivariate time series data of milling processes with varying tool wear and machine tools

description: The presented dataset provides labeled, multivariate time series data of milling processes with varying tool wear and for varying machine tools. The width of the flank wear land VB of peripheral cutting edges is used as a degradation metric. A total of nine end milling cutters were worn from an unused state to end of life (VB ≈ 150 μm) in 3-axis shoulder milling of cast iron 600-3/S. The width of the flank wear land VB was frequently measured with a digital microscope at a magnification of 100x. The tools were of the same model (solid carbide end milling cutter, 4 edges, coated with TiN-TiAlN) but from different batches. Experiments were conducted on three different 5-axis milling centers of a similar size. Workpieces, experimental setups, and process parameters were identical on all of the machine tools. The process forces were recorded with a dynamometer with a sample rate of 25 kHz. The force or torque of the spindle and feed drives, as well as the position control deviation of feed drives, were recorded from the machine tool controls with a sample rate of 500 Hz. The dataset holds a total of 6,418 files labeled with the wear (VB), machine tool (M), tool (T), run (R), and cumulated tool contact time (C). The file “filelist.csv” provides an overview of all the sample files and their corresponding labels. This data could be used to identify signal features that are sensitive to tool wear, to investigate methods for tool wear estimation and tool life prediction, or to examine transfer learning strategies.
DOI: 10.17632/zpxs87bjt8.3
title: Multivariate time series data of milling processes with varying tool wear and machine tools

description: The presented dataset provides labeled, multivariate time series data of milling processes with varying tool wear and for varying machine tools. The width of the flank wear land VB of peripheral cutting edges is used as a degradation metric. A total of nine end milling cutters were worn from an unused state to end of life (VB ≈ 150 μm) in 3-axis shoulder milling of cast iron 600-3/S. The width of the flank wear land VB was frequently measured with a digital microscope at a magnification of 100x. The tools were of the same model (solid carbide end milling cutter, 4 edges, coated with TiN-TiAlN) but from different batches. Experiments were conducted on three different 5-axis milling centers of a similar size. Workpieces, experimental setups, and process parameters were identical on all of the machine tools. The process forces were recorded with a dynamometer with a sample rate of 25 kHz. The force or torque of the spindle and feed drives, as well as the position control deviation of feed drives, were recorded from the machine tool controls with a sample rate of 500 Hz. The dataset holds a total of 6,418 files labeled with the wear (VB), machine tool (M), tool (T), run (R), and cumulated tool contact time (C). The file “filelist.csv” provides an overview of all the sample files and their corresponding labels. This data could be used to identify signal features that are sensitive to tool wear, to investigate methods for tool wear estimation and tool life prediction, or to examine transfer learning strategies.
DOI: 10.7483/opendata.cms.nt8k.1chd
title: /WplusTo2JJJWminusTo2JJJJ_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/f5sd4gddnr.1
title: Bio-inspired Selective Nodal Decoupling for Ultra-Compliant Interwoven Lattices - Grasshopper Scripts

description: This is a file containing Grasshopper scripts that were developed in Rhino 7 (Robert McNeel and Associates). These scripts can be used to generate interwoven lattices from traditional baselines as shown here. This is supplementary material associated with a Nature Communications Materials publication of the same title.
DOI: 10.15468/dl.eqmw4p
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bernice P. Bishop Museum",
 "Geometry POLYGON((79.64799 5.61827,82.19714 5.61827,82.19714 9.95181,79.64799 9.95181,79.64799 5.61827))"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072645-241126133413365/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.7cfp.tupz
title: /WplusTo2JJJWminusTo2JJJJ_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.erag.gr48
title: /WplusTo2JJJWminusToLNuJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/m4jnwhwts3.1
title: LINF_350047100

description: polyadenylate-binding protein 2 | PABP2
Leishmania infantum (strain JPCM5)
DOI: 10.7483/opendata.cms.5zmp.gf1q
title: /WplusTo2JJJWminusToLNuJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/kwm6bf95yt.1
title: Experimental data of crime-related fuel in Johor and Terengganu, Malaysia

description: A lot number is a unique sequence of digits applied to record and differentiate the samples which are characterized based on the element of fuel type, location, company, and brand. It is also used to track the result of each sample. The lot number assigned utilizes abbreviations to indicate specific information about the oil samples used. There are 5 and 10 samples donated by APMM obtained in Johor and Terengganu, respectively. "OIL" is used to denote that the sample is an oily sample. Then, "SLDJ" represents Sungai Lebam Desaru in Johor, while "PTT" signifies the Pantai Timur in Terengganu, indicating the locations where the samples were taken. The number "23" indicates the year when the oil sample was collected from the study site. Moreover, the postcodes for the respective locations are incorporated as well. The postcode "819" corresponds to Sungai Lebam Desaru in Johor, while "203" is the postcode for the Pantai Timur, Terengganu. Lastly, numbers are employed to differentiate between various types of oil samples, serving the purpose of facilitating the study and analysis.
DOI: 10.7483/opendata.cms.2ca6.ohnj
title: /WplusTo2JWminusTo2JJJ_EWK_LO_NPle1_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.adke.tsno
title: /WplusTo2JWminusTo2JJJ_EWK_LO_NPle1_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cbj9.tjl4
title: /WplusTo2JWminusTo2JJJ_EWK_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.t99w.v681
title: /WplusTo2JWminusTo2JJJ_EWK_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.23ri.ylr2
title: /WplusTo2JWminusTo2Jjj_EWK_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.28219244
title: <b><i>Spatio-temporal evolution and influencing factors of network attention on China-foreign cooperative education in China</i></b>

description: Network Attention of 31 Province, China
DOI: 10.6084/m9.figshare.28219244.v1
title: <b><i>Spatio-temporal evolution and influencing factors of network attention on China-foreign cooperative education in China</i></b>

description: Network Attention of 31 Province, China
DOI: 10.7483/opendata.cms.6e4l.rf0h
title: /WplusTo2JWminusTo2Jjj_EWK_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gcza.pqlh
title: /WplusTo2JWminusToLNuJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.12192597
title: Diagnostic value of systematic Compression Ultrasonography for the detection of unrecognized venous thromboembolism in patients admitted to an Internal Medicine ward for dyspnea.
DOI: 10.7483/opendata.cms.m1c1.eh9y
title: /WplusTo2JWminusToLNuJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.nlre.39un
title: /WplusTo2JWminusToLNuJJ_EWK_LO_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.00p3.biv5
title: /WplusTo2JWminusToLNuJJ_EWK_LO_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.csv5vg
title: Occurrence Download

description: A dataset containing 1245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schisandra sphenanthera Rehder & E.H.Wilson"
 ]
}

 The dataset includes 1245 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072647-241126133413365/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.blly.6ryg
title: /WplusTo2JWminusToLNuJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.8cq7bg
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colaconema caespitosum (J.Agardh) Jackelman, Stegenga & J.J.Bolton"
 ]
}

 The dataset includes 329 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072646-241126133413365/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.sarj.yvx3
title: /WplusTo2JWminusToLNuJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.lvov.fohg
title: /WplusTo2JWplusTo2JJJ_EWK_LO_NPle1_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8kb4.l7n7
title: /WplusTo2JWplusTo2JJJ_EWK_LO_NPle1_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.v3k7.1008
title: /WplusTo2JZTo2JJJ_EWK_LO_NPle1_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jt4f.onmd
title: /WplusTo2JZTo2JJJ_EWK_LO_NPle1_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rn47.0iqu
title: /WplusTo2JZTo2LJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.b6e2.7bvu
title: /WplusTo2JZTo2LJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.1q35.alf0
title: /WplusTo2JZTo2LJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.paek.3v9z
title: /WplusTo2JZTo2LJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.i166.hmis
title: /WplusToJJWminusTo2JJJ_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xbe9.f9x6
title: /WplusToJJWminusTo2JJJ_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rrtn.uizg
title: /WplusToJJWminusToLNuJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.jz5w.vtwb
title: /WplusToJJWminusToLNuJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sgp4.2zz2
title: /WplusToJJWminusToLNuJJ_EWK_QCD_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gzuy.h6cc
title: /WplusToJJWminusToLNuJJ_EWK_QCD_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.givh.hutd
title: /WplusToJJZToLLJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.x3v3.zpcn
title: /WplusToJJZToLLJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.82rknt
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bernice P. Bishop Museum",
 "Geometry POLYGON((46.31838 -26.69244,51.26841 -25.99244,49.8184 -23.99243,51.26841 -11.29234,49.4184 -11.44234,47.66839 -12.19235,42.16836 -17.09238,42.56836 -25.64243,46.31838 -26.69244))"
 ]
}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072649-241126133413365/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.94wt.1v16
title: /WplusToJJZToLLJJ_EWK_LO_SM_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.ocz4.stmf
title: /WplusToJJZToLLJJ_EWK_LO_SM_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iwok.b28k
title: /WplusToJJZToLNuJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ys6d.pg5s
title: /WplusToJJZToLNuJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.m90e.sb4f
title: /WplusToLNuJWminusToJJJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.b5dj.b4zs
title: /WplusToLNuJWminusToJJJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6pik.cpf4
title: /WplusToLNuJWplusToJJJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bxf6.21nw
title: /WplusToLNuJWplusToJJJJ_mjj100_pTj10_QCD_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kjf5.z1os
title: /WplusToLNuWminusTo2JJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5tk9.tnxk
title: /WplusToLNuWminusTo2JJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.q0m1.l1de
title: /WplusToLNuWminusTo2JJJ_EWK_LO_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gk23.9muh
title: /WplusToLNuWminusTo2JJJ_EWK_LO_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.u868.7b8u
title: /WplusToLNuWminusTo2JJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hfjc.d64g
title: /WplusToLNuWminusTo2JJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.efzr.rdnq
title: /WplusToLNuWminusTo2JJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.23p1.2qni
title: /WplusToLNuWminusTo2JJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.3ai2.ctbd
title: /WplusToLNuWminusToJJJJ_EWK_QCD_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tcob.yb6e
title: /WplusToLNuWminusToJJJJ_EWK_QCD_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xxet.xe02
title: /WplusToLNuWplusTo2JJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.lbx5.v8n8
title: /WplusToLNuWplusTo2JJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.oa1e.jjdh
title: /WplusToLNuWplusTo2JJJ_EWK_LO_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.003i.yjvh
title: /WplusToLNuWplusTo2JJJ_EWK_LO_mjj100_pTj10_aQGC_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6vpn.56vs
title: /WplusToLNuWplusTo2JJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.m2pc.27lz
title: /WplusToLNuWplusTo2JJJ_EWK_LO_mjj100_pTj10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/r7zpf67hwr.1
title: mitochondrial genomes

description: Total genomic DNA was extracted using the Ezup Column Animal Genomic DNA Extraction Kit (B518251; Sangon Biotech, Shanghai, China) according to its instruction. A second-generation sequencing library was constructed for each sample with a starting DNA material of 300-1000 ng according to Meyer and Kircher and Li et al. Briefly, the DNA samples were sheared to about 250 bp using a Covaris M220 ultrasonicator (Covaris, Inc., MA, USA). The fragmented DNA samples were checked using electrophoresis with a 1.5% agarose gel. The library construction process include end repair, ligation and fillin Meyer and Kircher (2010) and Li et al. (Li et al. 2013). After amplification, the library products of all samples were mixed in equimolar, and DNA fragments larger than 1 kb were removed by gel extration. The recovered samples were sequenced on an Illumina HiSeq platform with 2x150 paired-end configuation at Genewiz (Suzhou, China).
DOI: 10.7483/opendata.cms.rtj2.8lll
title: /WplusToLNuWplusTo2JJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.17632/dh5pr5j4pd.1
title: LINF_350048200

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.x2bk2j
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taxus chinensis (Pilg.) Rehd."
 ]
}

 The dataset includes 588 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072650-241126133413365/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.w158.9zcb
title: /WplusToLNuWplusTo2JJJ_QCD_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/n9tfznp8pn.2
title: Association between polygenic risk score for prostate cancer and the gut microbiota. Hatano K, et al.

description: We evaluated the polygenic risk scores related to prostate cancer using genotyping data from 60 healthy controls and 106 prostate cancer patients.
DOI: 10.7483/opendata.cms.3lhe.yhml
title: /WplusToLNuZTo2JJJ_dipoleRecoil_EWK_LO_SM_MJJ100PTJ10_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM