cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dctyjx
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Radula pusilla Spruce"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190970-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgkzd5
title: Occurrence Download

description: A dataset containing 5291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sporophila luctuosa (Lafresnaye, 1843)"
 ]
}

 The dataset includes 5291 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020319-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjm6s2
title: Occurrence Download

description: A dataset containing 3972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bryum pallens Sw.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 3972 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154436-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7m2p9p
title: Occurrence Download

description: A dataset containing 1386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-90.0995889000000005 29.9655494000000004, -90.0995889000000005 29.9677039000000001, -90.0995889000000005 29.9687811500000016, -90.0995889000000005 29.9707201999999988, -90.0995889000000005 29.9722283500000017, -90.0995889000000005 29.9739519500000000, -90.0995889000000005 29.9763218999999985, -90.0978708500000067 29.9763218999999985, -90.0961531699999938 29.9763218999999985, -90.0935766500000028 29.9763218999999985, -90.0911074899999988 29.9763218999999985, -90.0882088999999979 29.9763218999999985, -90.0859544500000027 29.9763218999999985, -90.0842363999999947 29.9763218999999985, -90.0842363999999947 29.9739519500000000, -90.0842363999999947 29.9715820000000015, -90.0842363999999947 29.9688888800000015, -90.0842363999999947 29.9669498300000008, -90.0842363999999947 29.9655494000000004, -90.0869206400000024 29.9655494000000004, -90.0886383200000012 29.9655494000000004, -90.0914295500000009 29.9655494000000004, -90.0944354899999951 29.9655494000000004, -90.0964752400000037 29.9655494000000004, -90.0985149800000045 29.9655494000000004, -90.0995889000000005 29.9655494000000004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1386 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099962-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvtlr5
title: Occurrence Download

description: A dataset containing 967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cnephasia longana (Haworth, 1811)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 967 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029803-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25375331
title: Enzymatic alterations of soil and plant system on applied Zn sources, organics and microbial inoculants in zinc deficient calcareous and non-calcareous soils

description: The study aimed to investigate the impact of zinc (Zn) nutrition on enzymatic activity in soil and plant systems of zinc-deficient soils. Additionally, it aimed to understand the impact of solubilizer (such as Zinc Solubilizing Bacteria) and mobilizer (like AM Fungi) on enzyme activity and zinc nutrition in plants across calcareous and non-calcareous soil environments. A pot experiment was carried out with two different soils with three Zn sources (ZnSO<sub>4</sub>, ZnO and Zn-EDTA), organic manure (FYM) and microbial inoculants - Zinc Solubilizing Bacteria (ZSB) and Arbuscular Mycorrhizal Fungi (AM F). The DTPA-Zn and plant Zn content increased with applied sources of Zn. The microbial inoculants and FYM enhanced the use efficiency of all sources of Zn compared to unapplied treatments. Regarding soil enzyme activity, FYM and AM fungi played a major role which in turn altered the dehydrogenase (SDHA) and alkaline phosphatase (AlP) activities in both soils. The Zn sources and ZSB addition enhanced the plant enzyme activity. Calcareous soil recorded higher CA, SOD and alkaline phosphatase activities compared to non-calcareous soil the latter registered higher dehydrogenase activity and fruit Zn content.
DOI: 10.6084/m9.figshare.25375331.v1
title: Enzymatic alterations of soil and plant system on applied Zn sources, organics and microbial inoculants in zinc deficient calcareous and non-calcareous soils

description: The study aimed to investigate the impact of zinc (Zn) nutrition on enzymatic activity in soil and plant systems of zinc-deficient soils. Additionally, it aimed to understand the impact of solubilizer (such as Zinc Solubilizing Bacteria) and mobilizer (like AM Fungi) on enzyme activity and zinc nutrition in plants across calcareous and non-calcareous soil environments. A pot experiment was carried out with two different soils with three Zn sources (ZnSO<sub>4</sub>, ZnO and Zn-EDTA), organic manure (FYM) and microbial inoculants - Zinc Solubilizing Bacteria (ZSB) and Arbuscular Mycorrhizal Fungi (AM F). The DTPA-Zn and plant Zn content increased with applied sources of Zn. The microbial inoculants and FYM enhanced the use efficiency of all sources of Zn compared to unapplied treatments. Regarding soil enzyme activity, FYM and AM fungi played a major role which in turn altered the dehydrogenase (SDHA) and alkaline phosphatase (AlP) activities in both soils. The Zn sources and ZSB addition enhanced the plant enzyme activity. Calcareous soil recorded higher CA, SOD and alkaline phosphatase activities compared to non-calcareous soil the latter registered higher dehydrogenase activity and fruit Zn content.
DOI: 10.15468/dl.lljpac
title: Occurrence Download

description: A dataset containing 13219246 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is c3ad790a-d426-4ac1-8e32-da61f81f0117"
 ]
}

 The dataset includes 13219246 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032271-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25406710
title: Effect of different phosphorus sources on P-uptake and yield of rice in acidic soil: a study of phosphorus availability dynamics

description: Phosphorus (P) limitation in acidic soils is well known and P-use and -recovery efficiency (PUE and PRE) is quite low. Rhizosphere-based P management has been considered as a means of enhancing PUE in acidic rice soils, but no clear dynamic study on this context. Rice was grown in pots using different P-sources [rock-phosphate (RP), single-super-phosphate (SSP), compost, P solubilizing bacteria (PSB), PSB + RP, PSB + compost, and compost + PSB + RP] in acidic <i>Inceptisols</i> (pH 4.31). Additionally, a micro-plot field experiment validated the results, using control, SSP, RP, PSB, and PSB + RP. Available-P (AvlP) and pH were analyzed every 10-days, while acid-phosphomonoesterases activity (PHA) and P-uptake in every 30-days until harvest. AvlP was peaked at 20 days after transplanting (DAT) and decreased until harvest. Compost + PSB + RP maintained significantly higher AvlP, soil pH and PHA, while root volume was highest in SSP throughout the growing period, and Soil pH showed an asymptotic trend. The P-content and uptake in biomass showed the highest peak at 60DAT and gradually declined until harvest. The effects of SSP and compost + PSB + RP on grain yield, chlorophyll concentration index (CCI), grain P content and uptake were comparable, but PUE and PRE were higher in compost + PSB + RP. Similar result was also observed in micro-plot field experiment, wherein grain yield and P uptake were comparable in SSP broadcast and PSB + RP. The study clearly shows that the combined application of PSB with RP, compost, or both in a 50% reduced amount can maintain higher AvlP in rice in acidic soil compared to full dose SSP while achieving a comparable yield.
DOI: 10.6084/m9.figshare.25406710.v1
title: Effect of different phosphorus sources on P-uptake and yield of rice in acidic soil: a study of phosphorus availability dynamics

description: Phosphorus (P) limitation in acidic soils is well known and P-use and -recovery efficiency (PUE and PRE) is quite low. Rhizosphere-based P management has been considered as a means of enhancing PUE in acidic rice soils, but no clear dynamic study on this context. Rice was grown in pots using different P-sources [rock-phosphate (RP), single-super-phosphate (SSP), compost, P solubilizing bacteria (PSB), PSB + RP, PSB + compost, and compost + PSB + RP] in acidic <i>Inceptisols</i> (pH 4.31). Additionally, a micro-plot field experiment validated the results, using control, SSP, RP, PSB, and PSB + RP. Available-P (AvlP) and pH were analyzed every 10-days, while acid-phosphomonoesterases activity (PHA) and P-uptake in every 30-days until harvest. AvlP was peaked at 20 days after transplanting (DAT) and decreased until harvest. Compost + PSB + RP maintained significantly higher AvlP, soil pH and PHA, while root volume was highest in SSP throughout the growing period, and Soil pH showed an asymptotic trend. The P-content and uptake in biomass showed the highest peak at 60DAT and gradually declined until harvest. The effects of SSP and compost + PSB + RP on grain yield, chlorophyll concentration index (CCI), grain P content and uptake were comparable, but PUE and PRE were higher in compost + PSB + RP. Similar result was also observed in micro-plot field experiment, wherein grain yield and P uptake were comparable in SSP broadcast and PSB + RP. The study clearly shows that the combined application of PSB with RP, compost, or both in a 50% reduced amount can maintain higher AvlP in rice in acidic soil compared to full dose SSP while achieving a comparable yield.
DOI: 10.15468/dl.rh423h
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnoporellus alboluteus (Ellis & Everh.) Kotl. & Pouzar",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 424 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134463-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyyubx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phlebia phlebioides (H.S.Jacks. & Dearden) Donk",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134295-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z06j2l
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epeolus cruciger (Panzer, 1799)"
 ]
}

 The dataset's 3 records were derived from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025828-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv5ukw
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus vegrandis L.A.S.Johnson & K.D.Hill",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044927-191105090559680/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.40wj.lg6l
title: /CEPDijets_M-500_13TeV-superchic/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.jvav.eqp9
title: /CEPDijets_M-500_13TeV-superchic/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6u56.ulnp
title: /CGToBHpm_MH-1000_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.45uw.6aoe
title: /CGToBHpm_MH-1000_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.2pcq.rj89
title: /CGToBHpm_MH-200_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.fxur.4tr4
title: /CGToBHpm_MH-200_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.mhlp.t7ay
title: /CGToBHpm_MH-300_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.atoz.6kvz
title: /CGToBHpm_MH-300_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.9p9h.wge2
title: /CGToBHpm_MH-350_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.9hfe.r0k9
title: /CGToBHpm_MH-350_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.i07f.na8e
title: /CGToBHpm_MH-400_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.ab6i.0ffv
title: /CGToBHpm_MH-400_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.vwp0.77fe
title: /CGToBHpm_MH-500_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.opir.z7l0
title: /CGToBHpm_MH-500_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.g10d.z8hg
title: /CGToBHpm_MH-600_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.r2fb.x0mj
title: /CGToBHpm_MH-600_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.5bt0.f1dw
title: /CGToBHpm_MH-700_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.io96.bose
title: /CGToBHpm_MH-700_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.esfs.pvgd
title: /CGToBHpm_MH-800_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.c1we.upga
title: /CGToBHpm_MH-800_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.sdyy.p1h2
title: /CGToBHpm_MH-900_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.qyd9.66k3
title: /CGToBHpm_MH-900_TuneCP5_13TeV_G2HDM-rhott06_rhotc04_rhotu00-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.76ep.wydn
title: /ChargedHiggs_HplusTB_HplusToHW_M-300_MH1_M-125_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.y2co.meqx
title: /ChargedHiggs_HplusTB_HplusToHW_M-300_MH1_M-125_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.szhh.mbdi
title: /ChargedHiggs_HplusTB_HplusToHW_M-300_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.qzsi.3ovz
title: /ChargedHiggs_HplusTB_HplusToHW_M-300_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q9it.7m1d
title: /ChargedHiggs_HplusTB_HplusToHW_M-400_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.u4xa.exo8
title: /ChargedHiggs_HplusTB_HplusToHW_M-400_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.2nii.4xe3
title: /ChargedHiggs_HplusTB_HplusToHW_M-500_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.m4yo.ir5c
title: /ChargedHiggs_HplusTB_HplusToHW_M-500_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ly38.2a06
title: /ChargedHiggs_HplusTB_HplusToHW_M-700_MH1_M-125_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.5df6.c7pj
title: /ChargedHiggs_HplusTB_HplusToHW_M-700_MH1_M-125_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ojo0.lxys
title: /ChargedHiggs_HplusTB_HplusToHW_M-700_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.h164.e75k
title: /ChargedHiggs_HplusTB_HplusToHW_M-700_MH2_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iqgj.fcr3
title: /ChargedHiggs_HplusTB_HplusToTB_M-1000_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.n6f5.38dr
title: /ChargedHiggs_HplusTB_HplusToTB_M-1000_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.0cig.iqef
title: /ChargedHiggs_HplusTB_HplusToTB_M-1250_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.l0ny.i8a4
title: /ChargedHiggs_HplusTB_HplusToTB_M-1250_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.7zio.4tl8
title: /ChargedHiggs_HplusTB_HplusToTB_M-1500_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.y4b8.4dsm
title: /ChargedHiggs_HplusTB_HplusToTB_M-1500_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.h6g6.t8gr
title: /ChargedHiggs_HplusTB_HplusToTB_M-1750_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.eyi3.7nys
title: /ChargedHiggs_HplusTB_HplusToTB_M-1750_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.265p.w5xe
title: /ChargedHiggs_HplusTB_HplusToTB_M-2000_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.h4gy.7z83
title: /ChargedHiggs_HplusTB_HplusToTB_M-2000_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.7m13.ewyn
title: /ChargedHiggs_HplusTB_HplusToTB_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zyln.snex
title: /ChargedHiggs_HplusTB_HplusToTB_M-200_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.x4vl.s2a9
title: /ChargedHiggs_HplusTB_HplusToTB_M-220_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.m5zv.4zam
title: /ChargedHiggs_HplusTB_HplusToTB_M-220_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.rcva.8ci8
title: /ChargedHiggs_HplusTB_HplusToTB_M-2500_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ib4j.o17v
title: /ChargedHiggs_HplusTB_HplusToTB_M-2500_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.nyqb.pdp7
title: /ChargedHiggs_HplusTB_HplusToTB_M-250_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xzik.vx97
title: /ChargedHiggs_HplusTB_HplusToTB_M-250_TuneCP5_13TeV_amcatnlo_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM