cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vkgwg9
title: Occurrence Download

description: A dataset containing 16790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is inaturalist",
 "OccurrenceStatus is Present",
 "StateProvince is one of (MInas Gerais, MInas gerais, Mg)",
 "TaxonKey is Animalia",
 "Year 2000-2023"
 ]
}

 The dataset includes 16790 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032207-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.137341
title: Ostracon hiératique Ifao - ODM 2414_nu_2006_02417

description: Référence : nu_2006_02417<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.137342
title: Ostracon hiératique Ifao - ODM 2705_nu_2006_02418

description: Référence : nu_2006_02418<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.25bc9z
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ahuyentamiento, rescate y reubicación de fauna en el área de influencia directa del proyecto Hidroeléctrico Mulatos II"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305889-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4rq7f
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Speleocuma guanche Corbera, 2002"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132752-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.137343
title: Ostracon hiératique Ifao - ODM 2440_nu_2006_02419

description: Référence : nu_2006_02419<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.137344
title: Ostracon hiératique Ifao - ODM 2463_nu_2006_02420

description: Référence : nu_2006_02420<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.fz4ru7
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spiraea cana Waldst. & Kit.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is False",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is less than 180",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010106-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.137345
title: Ostracon hiératique Ifao - ODM 2476_nu_2006_02421

description: Référence : nu_2006_02421<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.m975dp
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calosoma maximoviczi A.Morawitz, 1863",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309416-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j37kr9
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Clathrotropis (Benth.) Harms"
 ]
}

 The dataset includes 226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087778-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.137346
title: Ostracon hiératique Ifao - ODM 2564_nu_2006_02422

description: Référence : nu_2006_02422<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.vkpweh
title: Occurrence Download

description: A dataset containing 9318024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year is 2015",
 "Month is April",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match none, Individual count invalid, Individual count conflicts with occurrence status, Presumed swapped coordinate)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 9318024 records from 681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138262-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.137347
title: Ostracon hiératique Ifao - ODM 2429_nu_2006_02423

description: Référence : nu_2006_02423<br />Site : Deir el-Médina<br />Secteur : TT_356 (Amenemouia)<br />Type : photographie<br />
DOI: 10.15468/dl.e3y36u
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nebria ochotica R.F.Sahlberg, 1844",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 117 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309407-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efwqsk
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Ceroplastes rusci (Linnaeus, 1758)"
 ]
}

 The dataset includes 75 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199677-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8ffyf
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spathanthus bicolor Ducke"
 ]
}

 The dataset includes 203 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138269-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czn4jy
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhantus erraticus Sharp, 1884",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 61 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309384-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt5njr
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nicotiana linearis Phil."
 ]
}

 The dataset includes 117 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138254-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qjtt9
title: Occurrence Download

description: A dataset containing 8285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Andrena carantonica Pérez, 1902, Andrena fucata Smith, 1847)",
 "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 8285 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0153893-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9c28f
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydromantes brunus Gorman, 1954"
 ]
}

 The dataset includes 254 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309432-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmktxa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum obovatifrons M.P.Christ."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007612-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uqsyq
title: Occurrence Download

description: A dataset containing 4932172 species occurrences available in GBIF matching the query:
{
 "IucnRedListCategory" : [
 "is EN"
 ]
}

 The dataset includes 4932172 records from 7444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012452-220831081235567/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.e89c.keq3
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xxym.20qx
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tobh.k33c
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.umrj.cai7
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4jcm.46ef
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vdwm.hb21
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.xm3568
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indocalamus barbatus McClure"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067684-241126133413365/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.hqai.xztf
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sev1.skpj
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.704i.8kxl
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-2800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.58uq.qa8u
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.10442843
title: GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021

description: The GOES-Observed Fire Event Representation (GOFER) algorithm uses geostationary satellite observations of active fires from GOES-East and GOES-West to map the hourly progression of large wildfires (over 50,000 acres or 202 sq. km). GOES observes North and South America with a spatial resolution of 2 km at the equator and at a frequency of 10-15 minutes for the full disk view. Along with the fire perimeter, we derive the active fire lines and fire spread rates. We tested the GOFER algorithm on a set of 28 wildfires in California from 2019-2021 and produced three versions of the product: GOFER-Combined, GOFER-East, and GOFER-West. GOFER-Combined uses both GOES-East and GOES-West observations, while GOFER-East and GOFER-West use only GOES-East and only GOES-West observations, respectively. We find that GOFER performs reasonably well compared to final perimeters from California's Fire and Resource Assessment Program (FRAP) and 12-hourly perimeters from the Fire Event Data Suite (FEDS), derived from 375-m active fire observations. See our GOFER Visualization app on Earth Engine Apps for an overview of the dataset, alongside other datasets, such as FEDS and FRAP perimeters and 30-m burn severity from Monitoring Trends in Burn Severity (MTBS). Please refer to the corresponding GitHub repository for the code and detailed dataset description.
DOI: 10.5281/zenodo.14504174
title: GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021

description: The GOES-Observed Fire Event Representation (GOFER) algorithm uses geostationary satellite observations of active fires from GOES-East and GOES-West to map the hourly progression of large wildfires (over 50,000 acres or 202 sq. km). GOES observes North and South America with a spatial resolution of 2 km at the equator and at a frequency of 10-15 minutes for the full disk view. Along with the fire perimeter, we derive the active fire lines and fire spread rates. We tested the GOFER algorithm on a set of 28 wildfires in California from 2019-2021 and produced three versions of the product: GOFER-Combined, GOFER-East, and GOFER-West. GOFER-Combined uses both GOES-East and GOES-West observations, while GOFER-East and GOFER-West use only GOES-East and only GOES-West observations, respectively. We find that GOFER performs reasonably well compared to final perimeters from California's Fire and Resource Assessment Program (FRAP) and 12-hourly perimeters from the Fire Event Data Suite (FEDS), derived from 375-m active fire observations. See our GOFER Visualization app on Earth Engine Apps for an overview of the dataset, alongside other datasets, such as FEDS and FRAP perimeters and 30-m burn severity from Monitoring Trends in Burn Severity (MTBS). Please refer to the corresponding GitHub repository for the code, detailed dataset description, and version history.
DOI: 10.5281/zenodo.14638647
title: GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021

description: The GOES-Observed Fire Event Representation (GOFER) algorithm uses geostationary satellite observations of active fires from GOES-East and GOES-West to map the hourly progression of large wildfires (over 50,000 acres or 202 sq. km). GOES observes North and South America with a spatial resolution of 2 km at the equator and at a frequency of 10-15 minutes for the full disk view. Along with the fire perimeter, we derive the active fire lines and fire spread rates. We tested the GOFER algorithm on a set of 28 wildfires in California from 2019-2021 and produced three versions of the product: GOFER-Combined, GOFER-East, and GOFER-West. GOFER-Combined uses both GOES-East and GOES-West observations, while GOFER-East and GOFER-West use only GOES-East and only GOES-West observations, respectively. We find that GOFER performs reasonably well compared to final perimeters from California's Fire and Resource Assessment Program (FRAP) and 12-hourly perimeters from the Fire Event Data Suite (FEDS), derived from 375-m active fire observations. See our GOFER Visualization app on Earth Engine Apps for an overview of the dataset, alongside other datasets, such as FEDS and FRAP perimeters and 30-m burn severity from Monitoring Trends in Burn Severity (MTBS). Please refer to the corresponding GitHub repository for the code, detailed dataset description, and version history.
DOI: 10.5281/zenodo.14642378
title: GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021

description: The GOES-Observed Fire Event Representation (GOFER) algorithm uses geostationary satellite observations of active fires from GOES-East and GOES-West to map the hourly progression of large wildfires (over 50,000 acres or 202 sq. km). GOES observes North and South America with a spatial resolution of 2 km at the equator and at a frequency of 10-15 minutes for the full disk view. Along with the fire perimeter, we derive the active fire lines and fire spread rates. We tested the GOFER algorithm on a set of 28 wildfires in California from 2019-2021 and produced three versions of the product: GOFER-Combined, GOFER-East, and GOFER-West. GOFER-Combined uses both GOES-East and GOES-West observations, while GOFER-East and GOFER-West use only GOES-East and only GOES-West observations, respectively. We find that GOFER performs reasonably well compared to final perimeters from California's Fire and Resource Assessment Program (FRAP) and 12-hourly perimeters from the Fire Event Data Suite (FEDS), derived from 375-m active fire observations. See our GOFER Visualization app on Earth Engine Apps for an overview of the dataset, alongside other datasets, such as FEDS and FRAP perimeters and 30-m burn severity from Monitoring Trends in Burn Severity (MTBS). Please refer to the corresponding GitHub repository for the code, detailed dataset description, and version history.
DOI: 10.5281/zenodo.8327264
title: GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021

description: The GOES-Observed Fire Event Representation (GOFER) algorithm uses geostationary satellite observations of active fires from GOES-East and GOES-West to map the hourly progression of large wildfires (over 50,000 acres or 202 sq. km). GOES observes North and South America with a spatial resolution of 2 km at the equator and at a frequency of 10-15 minutes for the full disk view. Along with the fire perimeter, we derive the active fire lines and fire spread rates. We tested the GOFER algorithm on a set of 28 wildfires in California from 2019-2021 and produced three versions of the product: GOFER-Combined, GOFER-East, and GOFER-West. GOFER-Combined uses both GOES-East and GOES-West observations, while GOFER-East and GOFER-West use only GOES-East and only GOES-West observations, respectively. We find that GOFER performs reasonably well compared to final perimeters from California's Fire and Resource Assessment Program (FRAP) and 12-hourly perimeters from the Fire Event Data Suite (FEDS), derived from 375-m active fire observations. See our GOFER Visualization app on Earth Engine Apps for an overview of the dataset, alongside other datasets, such as FEDS and FRAP perimeters and 30-m burn severity from Monitoring Trends in Burn Severity (MTBS). Please refer to the corresponding GitHub repository for the code, detailed dataset description, and version history.
DOI: 10.5281/zenodo.8327265
title: GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021

description: The GOES-Observed Fire Event Representation (GOFER) algorithm uses geostationary satellite observations of active fires from GOES-East and GOES-West to map the hourly progression of large wildfires (over 50,000 acres or 202 sq. km). GOES observes North and South America with a spatial resolution of 2 km at the equator and at a frequency of 10-15 minutes for the full disk view. Along with the fire perimeter, we derive the active fire lines and fire spread rates. We tested the GOFER algorithm on a set of 28 wildfires in California from 2019-2021 and produced three versions of the product: GOFER-Combined, GOFER-East, and GOFER-West. GOFER-Combined uses both GOES-East and GOES-West observations, while GOFER-East and GOFER-West use only GOES-East and only GOES-West observations, respectively. We find that GOFER performs reasonably well compared to final perimeters from California's Fire and Resource Assessment Program (FRAP) and 12-hourly perimeters from the Fire Event Data Suite (FEDS), derived from 375-m active fire observations. See our GOFER Visualization app on Earth Engine Apps for an overview of the dataset, alongside other datasets, such as FEDS and FRAP perimeters and 30-m burn severity from Monitoring Trends in Burn Severity (MTBS). Please refer to the corresponding GitHub repository for the code and detailed dataset description.
DOI: 10.25582/data.2024-01.3006973/2499285
title: Data for EMSL Project 51287 from January 2024
DOI: 10.7483/opendata.cms.3qcz.6wv9
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.25582/data.2024-01.3006974/2499286
title: Data for EMSL Project 51287 from January 2024
DOI: 10.7483/opendata.cms.uuxc.6y8g
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.25582/data.2024-01.3006975/2499287
title: Data for EMSL Project 51287 from January 2024
DOI: 10.7483/opendata.cms.38aw.4aap
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.25582/data.2024-01.3006978/2499288
title: Data for EMSL Project 51287 from January 2024
DOI: 10.7483/opendata.cms.eeb4.bhu8
title: /NMSSM_XToYHTo2B2WTo2B2L2Nu_MX-3500_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.25582/data.2024-01.3006983/2499289
title: Data for EMSL Project 51287 from January 2024