cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.zsrc.1shh
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.bish.6ssl
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.l7bt.ktdf
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9h1k.mkf8
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ld2l.19m4
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ml2q.n3gd
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zbn7.1hmn
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2000_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oqc5.lq25
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.kwxm.qie0
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.18434/mds2-3620
title: TREC 1999 Adhoc Dataset
DOI: 10.7483/opendata.cms.92mb.x8fb
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.l9uh.c58n
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vogc.p3qo
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.qzth88
title: Occurrence Download

description: A dataset containing 41258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor fiber Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 41258 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069527-241126133413365/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.6onb.ixf7
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.dch2.1yuy
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.sk3v.qrut
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.g5pa.8aba
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.dr42.ka7r
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vg1v.uz62
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.khg3.aulp
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14648048
title: EKOKRITIKAS UN EKOLINGVISTIKAS PĒTNIECĪBA

description: EKOKRITIKAS UN EKOLINGVISTIKAS PĒTNIECĪBA
DOI: 10.5281/zenodo.14648049
title: EKOKRITIKAS UN EKOLINGVISTIKAS PĒTNIECĪBA

description: EKOKRITIKAS UN EKOLINGVISTIKAS PĒTNIECĪBA
DOI: 10.7483/opendata.cms.wcxt.e7lx
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gx53.6uk1
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3yfx.i5jy
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3lzo.e5br
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cms4.j0vl
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.aci0.83i0
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6rxo.ni0i
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.60u2.yzoq
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.wnj0.o2j9
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nmjd.dsaw
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8pkj.9wug
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ehc9.erbt
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jurs.6ya0
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.s9yqdw
title: Occurrence Download

description: A dataset containing 1556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Dominican Republic, Haiti)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Megachilidae, Halictidae, Andrenidae, Colletidae, Apidae)"
 ]
}

 The dataset includes 1556 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069529-241126133413365/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.ker9.lb4g
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.w1f2.64nj
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6h2g.hy8r
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.w5fk.9rz8
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.j4e8.zkvr
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2200_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vol3.0usn
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.iso1.ol9e
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.swng.4y91
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1pj8.k893
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6084/m9.figshare.24926658
title: K-12 trade books’ representation of earthquake safety and protective actions: A content analysis

description: Meaningful learning resources for earthquake safety and survival have become an increasingly important topic among geoscientists, especially educators and researchers. Various members of the public, especially K-12 (ages 5–18) learners, continue to depend on scientific trade books available at their local public and school libraries for information about earthquake concepts. To our knowledge, no research has empirically examined how trade books represent earthquake safety and survival actions. In this research, we combine an iterative qualitative inductive and deductive analysis to explore the representation of earthquake safety and protective actions in 50 trade books. We categorize these actions into time-based practices related to preparedness before an earthquake, protective actions during an earthquake, and recovery after an earthquake. These trade books emphasize preparedness by means of building earthquake-resistant structures and urban planning, and efforts toward community resilience and keeping home supplies. The recommended personal protective action during an earthquake in the United States (“Drop, Cover, and Hold On”) is emphasized in the majority of the trade books, as well as other protective actions related to emotional actions and current technological automated actions such as earthquake early warning systems. Finally, the books highlight actions such as damage evaluation and support as ways to recover after an earthquake. Our findings highlight the issues between accepted earthquake safety and survival actions and the limited and/or inaccurate knowledge represented in some trade books. We provide interpretations of how presentation of limited or inaccurate information may increase confusion about appropriate protective actions. The inclusion of accepted and recommended protective actions in future trade books and the use of earthquake drills in public libraries as a supplement for trade book users may improve understanding and implementation of appropriate actions. We further demonstrate the potential of trade book contents in fostering earthquake education through library-community partnerships.
DOI: 10.7483/opendata.cms.rp8e.htp0
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.24926658.v1
title: K-12 trade books’ representation of earthquake safety and protective actions: A content analysis

description: Meaningful learning resources for earthquake safety and survival have become an increasingly important topic among geoscientists, especially educators and researchers. Various members of the public, especially K-12 (ages 5–18) learners, continue to depend on scientific trade books available at their local public and school libraries for information about earthquake concepts. To our knowledge, no research has empirically examined how trade books represent earthquake safety and survival actions. In this research, we combine an iterative qualitative inductive and deductive analysis to explore the representation of earthquake safety and protective actions in 50 trade books. We categorize these actions into time-based practices related to preparedness before an earthquake, protective actions during an earthquake, and recovery after an earthquake. These trade books emphasize preparedness by means of building earthquake-resistant structures and urban planning, and efforts toward community resilience and keeping home supplies. The recommended personal protective action during an earthquake in the United States (“Drop, Cover, and Hold On”) is emphasized in the majority of the trade books, as well as other protective actions related to emotional actions and current technological automated actions such as earthquake early warning systems. Finally, the books highlight actions such as damage evaluation and support as ways to recover after an earthquake. Our findings highlight the issues between accepted earthquake safety and survival actions and the limited and/or inaccurate knowledge represented in some trade books. We provide interpretations of how presentation of limited or inaccurate information may increase confusion about appropriate protective actions. The inclusion of accepted and recommended protective actions in future trade books and the use of earthquake drills in public libraries as a supplement for trade book users may improve understanding and implementation of appropriate actions. We further demonstrate the potential of trade book contents in fostering earthquake education through library-community partnerships.
DOI: 10.6084/m9.figshare.25520980
title: Increasing knowledge and awareness of microplastic pollution in United States middle school students in a hybrid-classroom setting through science education

description: The goal of this research was to test the effectiveness of a new science curriculum focused on increasing awareness and knowledge of microplastic pollution in middle school students. The curriculum utilized three teaching methods including lectures, object-mediated learning, and peer collaboration to enhance student engagement and learning. The 84 participants were 8<sup>th</sup>-grade students between the ages of 13 and 15. Lesson effectiveness was evaluated using pre-and post-assessment questionnaires to compare student knowledge and awareness of microplastic pollution before and after the lesson. In the pretest, 90% of student definitions of microplastics were descriptive referring to microplastics as “small” or “tiny” pieces of plastic. The remaining 10% stated they had no previous knowledge of microplastics. In the post-assessment, 100% of students provided a definition, with 23% of them identifying microplastics with the scientifically defined size (&lt; 5 mm). The number of student definitions that also contained one or more elements of microplastic pollution, i.e. impacts and/or sources of origin increased between the pre- and post-assessment. Of the student posters, 81% demonstrated plastic pollution in an aquatic environment. A total of 9 posters (<i>n</i> = 16) contained explicit text and/or images on microplastic pollution with 5 highlighting harmful ingestion of microplastics by marine life. Student ratings of their enjoyment and learning experience from taking part in the lesson were high, with most students rating 4 or 5 on a 1 (no enjoyment or knowledge learned) to 5 (enjoyable/learned something new) scale. The results indicate that this curriculum was successful in increasing student knowledge and awareness of microplastic pollution.
DOI: 10.6084/m9.figshare.25520980.v1
title: Increasing knowledge and awareness of microplastic pollution in United States middle school students in a hybrid-classroom setting through science education

description: The goal of this research was to test the effectiveness of a new science curriculum focused on increasing awareness and knowledge of microplastic pollution in middle school students. The curriculum utilized three teaching methods including lectures, object-mediated learning, and peer collaboration to enhance student engagement and learning. The 84 participants were 8<sup>th</sup>-grade students between the ages of 13 and 15. Lesson effectiveness was evaluated using pre-and post-assessment questionnaires to compare student knowledge and awareness of microplastic pollution before and after the lesson. In the pretest, 90% of student definitions of microplastics were descriptive referring to microplastics as “small” or “tiny” pieces of plastic. The remaining 10% stated they had no previous knowledge of microplastics. In the post-assessment, 100% of students provided a definition, with 23% of them identifying microplastics with the scientifically defined size (&lt; 5 mm). The number of student definitions that also contained one or more elements of microplastic pollution, i.e. impacts and/or sources of origin increased between the pre- and post-assessment. Of the student posters, 81% demonstrated plastic pollution in an aquatic environment. A total of 9 posters (<i>n</i> = 16) contained explicit text and/or images on microplastic pollution with 5 highlighting harmful ingestion of microplastics by marine life. Student ratings of their enjoyment and learning experience from taking part in the lesson were high, with most students rating 4 or 5 on a 1 (no enjoyment or knowledge learned) to 5 (enjoyable/learned something new) scale. The results indicate that this curriculum was successful in increasing student knowledge and awareness of microplastic pollution.
DOI: 10.7483/opendata.cms.zc0a.jcil
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.10xn.9ar7
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.wmym.qe1y
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4e5y.bhzz
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ly7u.1z50
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.dzwwdv
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microtus cabrerae Thomas, 1906",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 512 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069530-241126133413365/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.9rpw.en5a
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.cr28.7goa
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.h5fd.hzq7
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.frrr.94se
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.haqe.14ml
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.i3cg.yb0w
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.b9jm.q56v
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.28207523
title: STEL Emergent Data

description: Experimental data as to when and why spot-tailed earless lizards emerge from their nightly burrows.
DOI: 10.6084/m9.figshare.28207523.v1
title: STEL Emergent Data

description: Experimental data as to when and why spot-tailed earless lizards emerge from their nightly burrows.
DOI: 10.7483/opendata.cms.vbmf.3afj
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.hpt9.ezkk
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.90ib.mbxr
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.hham.elk7
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rr2d.ydgj
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3w6o.7fkg
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jhtq.myij
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.s9hl.mwyn
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6ki3.9f9u
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9jsc.g0s1
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4p63.8g2g
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gugz.p0ig
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0ktr.cxou
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8242.5am9
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tsqr.1gz7
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.2942.dzos
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8cgz.axi3
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.1kzm.50xv
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-2400_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM