cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6085/aa/itrpxx_xxxix03xmsr01_20240220.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Terrace Point, California (ITRPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Terrace Point, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2024-02-23. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.7483/opendata.cms.k1se.0cb1
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6085/aa/itrpxx_xxxix03xmsr01_20240220.40.1
title: (:unkn)
DOI: 10.7483/opendata.cms.6be6.ro0a
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.knuh.zhuu
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.yqes.vtm5
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6085/aa/ivdmxx_xxxix03xmsr01_20231024.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Vista del Mar, California (IVDMXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Vista del Mar, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2023-11-01. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.7483/opendata.cms.5bpb.3csg
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6085/aa/ivdmxx_xxxix03xmsr01_20231024.40.1
title: (:unkn)
DOI: 10.7483/opendata.cms.jsqr.oels
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.j4x6.vdz1
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6085/aa/khlx00_xxxix03xmsr01_20230522.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Kibesillah Hill, California (KHLX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Kibesillah Hill, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2023-06-08. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.7483/opendata.cms.3a4b.5j08
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6085/aa/khlx00_xxxix03xmsr01_20230522.40.1
title: (:unkn)
DOI: 10.7483/opendata.cms.tqpz.pl16
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6085/aa/shcx00_xxxix03xmsr01_20230522.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Shelter Cove, California (SHCX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Shelter Cove, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2023-06-11. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.7483/opendata.cms.m4mu.ob52
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.6085/aa/shcx00_xxxix03xmsr01_20230522.40.1
title: (:unkn)
DOI: 10.7483/opendata.cms.ecnt.fy8f
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3cd7.6bnd
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-55_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.d73m.bht4
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.la3q.dd9v
title: /ZHHTo4B_CV_0_5_C2V_1_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.g1f5.2kl0
title: /ZHHTo4B_CV_0_5_C2V_1_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.fiae.qn9g
title: /ZHHTo4B_CV_1_0_C2V_0_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5c91.2pgq
title: /ZHHTo4B_CV_1_0_C2V_0_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.x2xz.ibo1
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_0_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gi4m.ru7w
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_0_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.40s1.fbag
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hk17.r3nb
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.136g.evtl
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_20_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lf2a.lag0
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_20_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gp9f.czo0
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_2_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tp7d.ukg6
title: /ZHHTo4B_CV_1_0_C2V_1_0_C3_2_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.4o7r.ekzz
title: /ZHHTo4B_CV_1_0_C2V_2_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.umwo.bw73
title: /ZHHTo4B_CV_1_0_C2V_2_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.qfks.g7gv
title: /ZHHTo4B_CV_1_5_C2V_1_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rqd3.puo9
title: /ZHHTo4B_CV_1_5_C2V_1_0_C3_1_0_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.oxz3.ib5r
title: /ZHJet_HToBB_ZToLL_M-125_TuneCP5_SMEFTsim_topU3l_13TeV-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.wztd.jdub
title: /ZHJet_HToBB_ZToLL_M-125_TuneCP5_SMEFTsim_topU3l_13TeV-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.ds6t.6par
title: /ZHJet_HToBB_ZToNuNu_M-125_TuneCP5_SMEFTsim_topU3l_13TeV-madgraphMLM-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gcey.oreh
title: /ZHJet_HToBB_ZToNuNu_M-125_TuneCP5_SMEFTsim_topU3l_13TeV-madgraphMLM-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.6cfk.qcbo
title: /ZHToAA_AToBB_AToGG_M-15_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.khdv.v1ze
title: /ZHToAA_AToBB_AToGG_M-15_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oip4.20re
title: /ZHToAA_AToBB_AToGG_M-18_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.w9lm.ke14
title: /ZHToAA_AToBB_AToGG_M-18_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.uodn.k2gu
title: /ZHToAA_AToBB_AToGG_M-20_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.25376/hra.28223423
title: and in offspring maternal dysbiosis.pdf

description:  
<strong>Abstract</strong>
Advanced maternal age (AMA) is defined as a pregnancy in a woman older than 35 years of age. AMA increases the risk for both maternal and neonatal complications, including miscarriage and stillbirth. AMA has also been linked to neurodevelopmental and neuropsychiatric disorders in the offspring. Recent studies have found that age-associated compositional shifts in the gut microbiota contribute to altered microbial metabolism and enhanced inflammation in the host. We investigated the specific contribution of the maternal microbiome on pregnancy outcomes and offspring behavior by recolonizing young female mice with aged female microbiome prior to pregnancy. We discovered that pre-pregnancy colonization of young dams with microbiome from aged female donors significantly increased fetal loss. There were significant differences in the composition of the gut microbiome in pups born from dams recolonized with aged female biome that persisted through middle age. Offspring born from dams colonized with aged microbiome also had significant changes in levels of neurotransmitters and metabolites in the blood and the brain. Adult offspring from dams colonized with an aged microbiome displayed persistent depressive- and anxiety-like phenotypes. Collectively, these results demonstrate that age-related changes in the composition of the maternal gut microbiome contribute to chronic alterations in the behavior and physiology of offspring. This work highlights the potential of microbiome-targeted approaches, even prior to birth, may reduce the risk of neuropsychiatric disorders.
DOI: 10.25376/hra.28223423.v1
title: and in offspring maternal dysbiosis.pdf

description:  
<strong>Abstract</strong>
Advanced maternal age (AMA) is defined as a pregnancy in a woman older than 35 years of age. AMA increases the risk for both maternal and neonatal complications, including miscarriage and stillbirth. AMA has also been linked to neurodevelopmental and neuropsychiatric disorders in the offspring. Recent studies have found that age-associated compositional shifts in the gut microbiota contribute to altered microbial metabolism and enhanced inflammation in the host. We investigated the specific contribution of the maternal microbiome on pregnancy outcomes and offspring behavior by recolonizing young female mice with aged female microbiome prior to pregnancy. We discovered that pre-pregnancy colonization of young dams with microbiome from aged female donors significantly increased fetal loss. There were significant differences in the composition of the gut microbiome in pups born from dams recolonized with aged female biome that persisted through middle age. Offspring born from dams colonized with aged microbiome also had significant changes in levels of neurotransmitters and metabolites in the blood and the brain. Adult offspring from dams colonized with an aged microbiome displayed persistent depressive- and anxiety-like phenotypes. Collectively, these results demonstrate that age-related changes in the composition of the maternal gut microbiome contribute to chronic alterations in the behavior and physiology of offspring. This work highlights the potential of microbiome-targeted approaches, even prior to birth, may reduce the risk of neuropsychiatric disorders.
DOI: 10.7483/opendata.cms.u724.jelk
title: /ZHToAA_AToBB_AToGG_M-20_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.dhyx.8ans
title: /ZHToAA_AToBB_AToGG_M-25_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.3bb78q
title: Occurrence Download

description: A dataset containing 99726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-78.84226 1.35211,-80.04271 0.84879,-81.59168 -1.16475,-79.88781 -3.25418,-80.15888 -4.33606,-78.91971 -4.72209,-77.91289 -2.79014,-75.43454 -1.51317,-75.16347 -0.46779,-78.84226 1.35211))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coragyps atratus (Bechstein, 1793)"
 ]
}

 The dataset includes 99726 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073151-241126133413365/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.fzd4.xo13
title: /ZHToAA_AToBB_AToGG_M-25_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.wqfh.igkh
title: /ZHToAA_AToBB_AToGG_M-30_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.y16y.23jk
title: /ZHToAA_AToBB_AToGG_M-30_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fpbb.ogby
title: /ZHToAA_AToBB_AToGG_M-35_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vlyk.xfw3
title: /ZHToAA_AToBB_AToGG_M-35_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.1xdi.y49o
title: /ZHToAA_AToBB_AToGG_M-40_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.14035763
title: Dietary metabarcoding shows that the invasive prawn Macrobrachium rosenbergii in the Amazon River delta is an opportunistic and generalist predator

description: Invasive species alter habitats and biological communities. The giant river prawn (Macrobrachium rosenbergii (de Man 1879)) was introduced to Brazil for aquaculture, and invasive populations have established in the Amazon delta region where they are believed to pose a risk to the native aquatic fauna. To assess potential impacts, we performed dietary metabarcoding using generalist COI primers on 105 stomach contents collected from prawns from the southern Amazon delta. Overall, M. rosenbergii presents an opportunistic and generalist diet that reflects the dominant aquatic and terrestrial fauna of the region including the species rich orders Characiformes, Diptera and Lepidoptera as dominant dietary items both in terms of frequency of occurrence and richness. One unidentified congeneric species was identified in the diet, indicating the potential for negative effects on the native prawn fauna. Additionally, while there is a general overlap in the diet for all categories of sex and reproductive phase, smaller immature individuals and molted females showed reduced diversity in their diet suggesting limitations in prey handling or access. We conclude that dietary metabarcoding of opportunistic generalists and/or detritivores appears to be an efficient tool for monitoring biodiversity as well as understanding their role in the food web.
DOI: 10.5281/zenodo.14035762
title: Macrobrachium rosenbergii as an opportunistic, generalist predator in the Amazon Delta: insights from Metabarcoding

description: Invasive species alter habitats and biological communities. The giant river prawn Macrobrachium rosenbergii (de Man 1879) was introduced to Brazil for aquaculture, andinvasive populations have established in the Amazon delta region where they are believed to pose a risk to the native aquatic fauna. To assess potential impacts, we performed dietary metabarcoding using generalist COI primers on 105 stomach contents collected from prawns from the southern Amazon delta. Overall, M. rosenbergii presents an opportunistic and generalist diet that reflects the dominant aquatic and terrestrial fauna of the region including the orders Characiformes, Diptera and Lepidoptera as dominant dietary items both in terms of frequency of occurrence and richness. One unidentified congeneric species was identified in the diet, indicating the potential for negative effects on the native prawn fauna. Additionally, while there is a general overlap in the diet for all categories of sex and reproductive phase, smaller immature individuals and molted females showed reduced diversity in their diet suggesting limitations in prey handling or access. We conclude that dietary metabarcoding of opportunistic generalists and/or detritivores appears to be an efficient tool for monitoring biodiversity as well as understanding their role in the food web.
DOI: 10.7483/opendata.cms.k9mx.3o6x
title: /ZHToAA_AToBB_AToGG_M-40_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ymwq.gv32
title: /ZHToAA_AToBB_AToGG_M-45_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.u3kn.k8d0
title: /ZHToAA_AToBB_AToGG_M-45_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fa3b.rtbe
title: /ZHToAA_AToBB_AToGG_M-50_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.47kk.4eoj
title: /ZHToAA_AToBB_AToGG_M-50_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q4qw.n06r
title: /ZHToAA_AToBB_AToGG_M-55_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ycr8.9aau
title: /ZHToAA_AToBB_AToGG_M-55_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.umrl.dtoj
title: /ZHToAA_AToBB_AToGG_M-58_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vkwp.ocew
title: /ZHToAA_AToBB_AToGG_M-58_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.von5.ahj8
title: /ZHToAA_AToBB_AToGG_M-60_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.35x3.e7hq
title: /ZHToAA_AToBB_AToGG_M-60_TuneCP5_13TeV_madgraph_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.549v.c8hh
title: /ZHToEEG_M120_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lw8i.7lwt
title: /ZHToEEG_M120_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8q3e.ck8b
title: /ZHToEEG_M120_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.y24y.n0rg
title: /ZHToEEG_M120_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.1lle.sgw6
title: /ZHToEEG_M120_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.2lvu.2coq
title: /ZHToEEG_M120_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qg99.vat2
title: /ZHToEEG_M125_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.h3ir.qbhn
title: /ZHToEEG_M125_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cz3o.t7ph
title: /ZHToEEG_M125_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.sstn.zswp
title: /ZHToEEG_M125_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.id43.tkvg
title: /ZHToEEG_M125_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.9cf9.znbh
title: /ZHToEEG_M125_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.n0yx.9srq
title: /ZHToEEG_M130_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ov6l.htsu
title: /ZHToEEG_M130_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oex9.4e7k
title: /ZHToEEG_M130_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.se4c.ggt5
title: /ZHToEEG_M130_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ynrk.kshx
title: /ZHToEEG_M130_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.s3f1.znpn
title: /ZHToEEG_M130_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gimd.oyv8
title: /ZHToMuMuG_M120_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.vvrm.xwx8
title: /ZHToMuMuG_M120_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6do1.1g7p
title: /ZHToMuMuG_M120_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ztz6.qurn
title: /ZHToMuMuG_M120_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tmfh.pl62
title: /ZHToMuMuG_M120_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM