cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8k7xep
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dictyochophyceae",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221387-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd8h2g
title: Occurrence Download

description: A dataset containing 2378 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is srli_global_araneae"
 ]
}

 The dataset includes 2378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131036-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dq535
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opitutae",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 417 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221359-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64mnms
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is New records of Stenopygium Becker (Diptera: Dolichopodidae) from the Neotropical Region, and a key to species"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131039-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11094492
title: anodorhynchus_glaucus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.11094493
title: anodorhynchus_glaucus_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.ztn92r
title: Occurrence Download

description: A dataset containing 57195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alphaproteobacteria",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 57195 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221339-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg7rkh
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nereis falcaria (Willey, 1905)"
 ]
}

 The dataset includes 120 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036829-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5nyfbh
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Choanoflagellatea",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221376-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wmsqc
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trigonotis nankotaizanensis (Sasaki) Masam. & Ohwi"
 ]
}

 The dataset includes 94 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021593-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ry7zph
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Klebsormidiophyceae",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 71 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221397-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjwz35
title: Occurrence Download

description: A dataset containing 4915 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zornia latifolia Sm."
 ]
}

 The dataset includes 4915 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036836-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a3yuy
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dinophyceae",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221389-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjrvek
title: Occurrence Download

description: A dataset containing 14809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.4 -56.3,-64.7733 -56.36361,-66.29069 -55.07025,-68.63024 -54.82442,-68.63044 -52.17337,-75.4 -48.36,-79.16508 -48.3245,-75.4 -56.3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thalassarche melanophris (Temminck, 1828)"
 ]
}

 The dataset includes 14809 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168221-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47yyyf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zootrophion williamsii Luer"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036796-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9prb5
title: Occurrence Download

description: A dataset containing 910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spirochaetia",
 "HasCoordinate is true",
 "Country is one of (Switzerland)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 910 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdvhxx
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zornia apiculata Milne-Redh."
 ]
}

 The dataset includes 67 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036803-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs5r2k
title: Occurrence Download

description: A dataset containing 2735519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oleaceae"
 ]
}

 The dataset includes 2735519 records from 4241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002484-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg5gys
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035521-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15637548
title: CMIP6 dataset downscaled over Lombardy

description: Dataset di dati climatici per la Lombardia

Il dataset è ritagliato sulla Lombardia. La fonte è https://www.dataclime.com/nuove-mappe-con-informazioni-climatiche-ad-alta-risoluzione-per-tutta-la-penisola/

Lo scenario climatico è SSP 3-7.0

Le variabili climatiche ECV sono pr, tasmin, tasmax.

I periodi sono:



storico 1985-2014

futuro 2015-2060


I modelli considerati sono CMIP6:




Nome modello
Riferimento
Note


CNRM-ESM2-1
https://www.umr-cnrm.fr/cmip6/spip.php?article10&lang=en
 


EC-Earth3-Veg
https://ec-earth.org/ec-earth/ec-earth3/
 


IPSL-CM6A_LR
https://cmc.ipsl.fr/ipsl-climate-models/ipsl-cm6/
 


MIROC6
https://cger.nies.go.jp/cgernews/202401/398004.html
 


MPI-ESM1-2-HR
https://mpimet.mpg.de/en/communication/news/development-of-a-high-resolution-earth-system-model-and-its-application-in-cmip6
 


NorESM2-MM
https://noresm-docs.readthedocs.io/en/noresm2/start.html
 


UKESM1-0-LL
https://ukesm.ac.uk/wp-content/uploads/2022/06/UKESM1-0-LL.html
 




Naming convention dei file

<Nome  modello>_<ECV>_<periodo>.nc

Utilizzo

Fare riferimento a https://gitlab.com/mauromussin/lomb_climate: il codice è containerizzato e lancia un istanza Jupyter per scaricare i dati ed effettuare alcune elaborazioni.
DOI: 10.57760/sciencedb.25767
title: A dataset of monthly and annual vegetation coverage with 500m resolution in Mu Us Sandy Land from 2000 to 2020
title: 2000-2020年毛乌素沙地500m分辨率月值和年值植被覆盖度数据集

description: TitleA dataset of monthly and annual vegetation coverage with 500m resolution in Mu Us Sandy Land from 2000 to 2020Data corresponding authorShi Lei (shilei1019@stu.xjtu.edu.cn)Data author(s)Yang Liangyan, Shi Lei, Wang Kun, Hua DongwenTime range2000 –2020Geographical scope37°27.5′N—39°22.5′N, 107°20′E—111°30′E; specific areas include: the Mu Us Sandy Land of ChinaSpatial resolution500 mData volume610 MBData format*.TIFSource(s) of fundingNational Natural Science Foundation of China (42167039); Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co.,Ltd and Xi'an Jiaotong University (2024WHZ0240, 2024WHZ0243).Dataset/Database compositionThis dataset primarily comprises monthly and annual Normalized Difference Vegetation Index (NDVI) and fractional vegetation cover (FVC) data from 2000 to 2020. It is organized into two directories ("FVC" and "NDVI"), containing a total of 544 raster files.
description: TitleA dataset of monthly and annual vegetation coverage with 500m resolution in Mu Us Sandy Land from 2000 to 2020Data corresponding authorShi Lei (shilei1019@stu.xjtu.edu.cn)Data author(s)Yang Liangyan, Shi Lei, Wang Kun, Hua DongwenTime range2000 –2020Geographical scope37°27.5′N—39°22.5′N, 107°20′E—111°30′E; specific areas include: the Mu Us Sandy Land of ChinaSpatial resolution500 mData volume610 MBData format*.TIFSource(s) of fundingNational Natural Science Foundation of China (42167039); Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co.,Ltd and Xi'an Jiaotong University (2024WHZ0240, 2024WHZ0243).Dataset/Database compositionThis dataset primarily comprises monthly and annual Normalized Difference Vegetation Index (NDVI) and fractional vegetation cover (FVC) data from 2000 to 2020. It is organized into two directories ("FVC" and "NDVI"), containing a total of 544 raster files.
DOI: 10.15468/dl.ae3mv7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035523-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.26091
title: Automatic observation dataset of air temperature and air humidity dynamics in typical agroecosystems in the hilly areas of the Sichuan Basin (1997-2022)
title: 四川盆地丘陵区典型农田生态系统空气温度和湿度动态 自动观测数据集（1997-2022）

description: The dataset consists of 4 EXCEL files, including (1) Air temperature data.xlsx, which is the data of hourly, daily and monthly values of air temperature from October 1997 to December 2022, and the data of daily and monthly values contain 5 and 7 statistical indicators respectively, with a data volume of 1.74MB; (2) Air relative humidity data.xlsx, which is the data of hourly, daily and monthly values of air humidity from October 1997 to December 2022, the data of daily and monthly values contain 3 and 4 statistical indicators respectively, with a data volume of 1.53MB; (3) Water vapor pressure data.xlsx is the data of hourly, daily and monthly values of water vapor pressure from October 2004 to December 2022, the data of daily and monthly values contain 3 and 7 statistical indicators respectively, with a data volume of 1.19MB; (4) Dewpoint Temperature Data.xlsx is the hourly, daily and monthly dewpoint temperature data from October 2004 to December 2022, the daily and monthly data contain 3 and 7 statistical indicators respectively, the data volume is 1.24MB.
description: The dataset consists of 4 EXCEL files, including (1) Air temperature data.xlsx, which is the data of hourly, daily and monthly values of air temperature from October 1997 to December 2022, and the data of daily and monthly values contain 5 and 7 statistical indicators respectively, with a data volume of 1.74MB; (2) Air relative humidity data.xlsx, which is the data of hourly, daily and monthly values of air humidity from October 1997 to December 2022, the data of daily and monthly values contain 3 and 4 statistical indicators respectively, with a data volume of 1.53MB; (3) Water vapor pressure data.xlsx is the data of hourly, daily and monthly values of water vapor pressure from October 2004 to December 2022, the data of daily and monthly values contain 3 and 7 statistical indicators respectively, with a data volume of 1.19MB; (4) Dewpoint Temperature Data.xlsx is the hourly, daily and monthly dewpoint temperature data from October 2004 to December 2022, the daily and monthly data contain 3 and 7 statistical indicators respectively, the data volume is 1.24MB.
DOI: 10.15468/dl.28whjn
title: Occurrence Download

description: A dataset containing 15744456 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Japan"
 ]
}

 The dataset includes 15744456 records from 3018 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035502-250525065834625/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.jop7.6e01
title: /NMSSM_XtoHYto4b_MX_1900_MY_100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.srnq.0vhz
title: /NMSSM_XtoHYto4b_MX_1900_MY_100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6vys.6y85
title: /NMSSM_XtoHYto4b_MX_1900_MY_125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.urs0.vrjc
title: /NMSSM_XtoHYto4b_MX_1900_MY_125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.60656/2f32165742ca4cf3
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Granada, Hyytiälä, and 9 other sites on 30 Oct 2023
DOI: 10.7483/opendata.cms.sbo6.xuk3
title: /NMSSM_XtoHYto4b_MX_1900_MY_150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.945e.coyu
title: /NMSSM_XtoHYto4b_MX_1900_MY_150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6qox.s5tx
title: /NMSSM_XtoHYto4b_MX_1900_MY_200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.3xbo.lj6i
title: /NMSSM_XtoHYto4b_MX_1900_MY_200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.5vaf.i1il
title: /NMSSM_XtoHYto4b_MX_1900_MY_250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.h6kn.kox5
title: /NMSSM_XtoHYto4b_MX_1900_MY_250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4uss.fdix
title: /NMSSM_XtoHYto4b_MX_1900_MY_300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.g0ks.89qi
title: /NMSSM_XtoHYto4b_MX_1900_MY_300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.aku4.dz4a
title: /NMSSM_XtoHYto4b_MX_1900_MY_30_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.k202.wavr
title: /NMSSM_XtoHYto4b_MX_1900_MY_30_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.bybz.fi6f
title: /NMSSM_XtoHYto4b_MX_1900_MY_350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.60656/c4901c1155244b9d
title: Custom collection of ice water content data from Bucharest, Cabauw, Chilbolton, Granada, Hyytiälä, and 9 other sites on 31 Oct 2023
DOI: 10.7483/opendata.cms.qrbj.jbvm
title: /NMSSM_XtoHYto4b_MX_1900_MY_350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kslu.w6fc
title: /NMSSM_XtoHYto4b_MX_1900_MY_400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ky0x.m1oq
title: /NMSSM_XtoHYto4b_MX_1900_MY_400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3cbd.lb61
title: /NMSSM_XtoHYto4b_MX_1900_MY_40_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.e6jv.1ecz
title: /NMSSM_XtoHYto4b_MX_1900_MY_40_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8lt4.b80k
title: /NMSSM_XtoHYto4b_MX_1900_MY_450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.khka.4x5b
title: /NMSSM_XtoHYto4b_MX_1900_MY_450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qzha.f4vl
title: /NMSSM_XtoHYto4b_MX_1900_MY_500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.tnzv.k7b0
title: /NMSSM_XtoHYto4b_MX_1900_MY_500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i9vl.3p8h
title: /NMSSM_XtoHYto4b_MX_1900_MY_50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.w85g.7wr3
title: /NMSSM_XtoHYto4b_MX_1900_MY_50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gyvi.yked
title: /NMSSM_XtoHYto4b_MX_1900_MY_600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.adac.l7cu
title: /NMSSM_XtoHYto4b_MX_1900_MY_600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tybp.4oyj
title: /NMSSM_XtoHYto4b_MX_1900_MY_60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.izbq.7j2h
title: /NMSSM_XtoHYto4b_MX_1900_MY_60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.t274.0rsv
title: /NMSSM_XtoHYto4b_MX_1900_MY_700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.om2c.3gub
title: /NMSSM_XtoHYto4b_MX_1900_MY_700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jgrd.dw22
title: /NMSSM_XtoHYto4b_MX_1900_MY_70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ux04.w10g
title: /NMSSM_XtoHYto4b_MX_1900_MY_70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.dkw0.de2y
title: /NMSSM_XtoHYto4b_MX_1900_MY_800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.43qv.lx76
title: /NMSSM_XtoHYto4b_MX_1900_MY_800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.nf4e.xxju
title: /NMSSM_XtoHYto4b_MX_1900_MY_80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.ftdf.ahro
title: /NMSSM_XtoHYto4b_MX_1900_MY_80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM