cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s7992w
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primula calyptrata X.Gong & R.C.Fang"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094815-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdk5ab
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sarcohyla robertsorum (Taylor, 1940)"
 ]
}

 The dataset's 2 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0420742-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5bb2h
title: Occurrence Download

description: A dataset containing 2065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tuta absoluta, 157937014, Tuta absoluta, Tuta absoluta, Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), 161502304, Tuta absoluta (Meyrick, 1917), 148730480, Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Wolbachia endosymbiont of Tuta absoluta, Wolbachia endosymbiont of Tuta absoluta, Tuta absoluta, Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Tuta absoluta (Meyrick, 1917), Diglyphus isaea (Walker) Walker, Nabis pseudoferus, Trichogramma nerudai Pintureau & Gerding 1999, Trichogramma nerudai Pintureau & Gerding, 1999, Orius albidipennis (Reuter, 1884), Dicyphus errans (Wolff, 1804), Dicyphus errans (Wolff 1804), Diglyphus isaea (Walker, 1838), Orius (Dimorphella) albidipennis (Reuter 1884), Fagopyrum esculentum Moench, Solanum lycopersicum L., Solanum tuberosum L., Phthorimaea absoluta Meyrick, 1917, 161502307, Phthorimaea absoluta Meyrick, 1917, Phthorimaea absoluta (Meyrick, 1917))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2065 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100180-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe8hwz
title: Occurrence Download

description: A dataset containing 3355 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 {
 "or" : [
 "Country is France",
 "Country is Spain",
 "Country is Italy",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Portugal",
 "Country is Slovenia",
 "Country is Germany",
 "Country is Ukraine"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fraxinus angustifolia Vahl",
 "Year 1950-2000"
 ]
}

 The dataset includes 3355 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0381331-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu5nqg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandra hirta Schltr."
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017230-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hx33sb
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclura lewisi Grant, 1940"
 ]
}

 The dataset includes 136 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204433-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwurkm
title: Occurrence Download

description: A dataset containing 1082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodanthe charsleyae (F.Muell.) Paul G.Wilson"
 ]
}

 The dataset includes 1082 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102549-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgnjjw
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Isoberlinia doka Craib & Stapf"
 ]
}

 The dataset includes 300 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0426780-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8ax2h
title: Occurrence Download

description: A dataset containing 50292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Procambarus fallax f. virginalis Martin, Dorn, Kawai, van der Heiden & Scholtz, 2010, Orconectes virilis (Hagen, 1870), Ludwigia peploides (Kunth) P.H.Raven, Heracleum sosnowskyi Manden., Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Cabomba caroliniana A.Gray, Procambarus clarkii (Girard, 1852), Myriophyllum heterophyllum Michx., Lysichiton americanus Hultén & H.St.John, Lagarosiphon major (Ridl.) Moss, Pacifastacus leniusculus (Dana, 1852), Orconectes limosus (Rafinesque, 1817), Myriophyllum aquaticum (Vell.) Verdc., Impatiens glandulifera Royle, Ludwigia grandiflora (Michx.) Greuter & Burdet, Hydrocotyle ranunculoides L.fil., Heracleum mantegazzianum Sommier & Levier, Elodea nuttallii (Planch.) H.St.John)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50292 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172229-210914110416597/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.r6cw.ao3k
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6084/m9.figshare.28207763
title: DADOS - ENTREVISTAS MAGISTRADO/AS GOIÂNIA - controle judicial ANPP 2024.xlsx

description: O acordo de não persecução penal, regulado no art. 28-A do CPP, prevê a sistemática de homologação judicial, com a definição de critérios de análise ao Judiciário. Contudo, na legislação são adotados parâmetros abertos e genéricos. Diante disso, neste artigo pretende-se, a partir de revisão bibliográfica e por meio de entrevistas estruturadas com os juízes/as das Varas Criminais da Comarca de Goiânia/GO em 2024, responder aos seguintes problemas: 1. A partir das perspectivas de magistrado/as criminais de Goiânia, quais são as características do controle judicial a ser realizado sobre o acordo de não persecução penal?; e, 2. Considerando os resultados verificados, quais são os possíveis problemas na atuação prática da supervisão judicial e potenciais aprimoramentos a serem propostos?
DOI: 10.7483/opendata.cms.k7bm.kzy4
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nsa7.t3kf
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14647305
title: Continuous solar radiation observations at the Naples's harbor weather station (Naples, Italy) during the period Feb. 2023-Dec.2023.

description: Meteorological data monitoring is ongoing since 2022 in the harbor of Naples thanks to a full sensors weather station (Rete Sistemi Osservativi CNR-ISMAR). The aim of this activity is to acquire timeseries in order to analyze the influence of meteorological factors (temperature, relative humidity, wind, barometric pressure, solar radiation and rain) on geomorphological coastal processes, such as cliff retreat, landslides and beach erosion. Here we upload the solar global radiation dataset measured during the period from 2023-02-22_T18:00 to 2023-12-31_T23:30 (uploading interval: 30 minutes). Automatic data transfer from the weather station to the ISMAR-CNR processing center of Naples is performed by an internet LAN connection.
DOI: 10.5281/zenodo.14647306
title: Continuous solar radiation observations at the Naples's harbor weather station (Naples, Italy) during the period Feb. 2023-Dec.2023.

description: Meteorological data monitoring is ongoing since 2022 in the harbor of Naples thanks to a full sensors weather station (Rete Sistemi Osservativi CNR-ISMAR). The aim of this activity is to acquire timeseries in order to analyze the influence of meteorological factors (temperature, relative humidity, wind, barometric pressure, solar radiation and rain) on geomorphological coastal processes, such as cliff retreat, landslides and beach erosion. Here we upload the solar global radiation dataset measured during the period from 2023-02-22_T18:00 to 2023-12-31_T23:30 (uploading interval: 30 minutes). Automatic data transfer from the weather station to the ISMAR-CNR processing center of Naples is performed by an internet LAN connection.
DOI: 10.7483/opendata.cms.5owd.r8ht
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lxf8.gr31
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gykq.spg3
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xzgz.uvja
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.peo7.57sj
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.l7kx.822u
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oe41.8qc1
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.aku2.bd1p
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.anwl.vi1h
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.pxch.2kge
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.aqmj.uge5
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.7mjv.shla
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.rt70.xwv7
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4jft.5etg
title: /NMSSM_XToYHTo2Tau2B_MX-2800_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.o4c0.ep0w
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.19o8.r4m6
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.f8lf.nkrc
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bi8w.es3u
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.c3bh.rj9w
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.dduz.6pnx
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.4kdwsb
title: Occurrence Download

description: A dataset containing 41879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Punica granatum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41879 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069622-241126133413365/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.x8mh.k96c
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.78yo.w3n5
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ezc2.93d3
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ett4.djlu
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.02kd.b9vc
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.qrhn.cfqu
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.m1yq.9jj8
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6fyk.7iqs
title: /NMSSM_XToYHTo2Tau2B_MX-280_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.22pa.ez4g
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5u9k.pjrr
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.s5te.pyk9
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bgx9.9dl6
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.21y3.h9ex
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.pva8.4fop
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.dkc9.7ruz
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.a3sm.qxgn
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tujb.3k3s
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.630d.ttco
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4lz3.q6pk
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lomz.o1z1
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.6073/pasta/57d99f16c5bae402be0dea197ad5fc45
title: Estimates of nitrogen and phosphorus excretion rates in individual marine and estuarine animals

description: This dataset contains nitrogen and phosphorus excretion rate, as
 well as dry biomass, estimates for individual vertebrate and
 invertebrate animals in marine and estuarine environments. This
 dataset is a product of an LTER Synthesis Working Group aimed at
 evaluating the spatiotemporal variability in consumer nutrient
 dynamics in the wake of global change across eight long-term
 ecological research projects. These projects include seven
 long-term ecological research programs (LTER) funded by the
 National Science Foundation: (1) California Current Ecosystem, (2)
 Florida Coastal Everglades, (3) Moorea Coral Reef, (4) Northern
 Gulf of Alaska, (5) Plum Island Ecosystems, (6) Santa Barbara
 Coastal, and (7) Virginia Coast Reserve LTER projects.
 Additionally, the dataset includes data from (8) The Partnership
 for Interdisciplinary Science of Coastal Oceans (PISCO) research
 program. The temporal coverage of each time series data varies
 among projects, with the earliest record in 1997 and the most
 recent in 2023.
 
 
 This data package also includes two folders of R scripts used for
 data harmonization, identical to those in the LTER Synthesis
 Working Group: Consumer-Mediated Nutrient Dynamics Project,
 v2.0.0. You can find the release in GitHub here:
 https://github.com/lter/lterwg-marine-cnd/releases/tag/v2.0.0
DOI: 10.7483/opendata.cms.uw69.hkxq
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jayo.sjdy
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iexy.rnri
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.oifn.3uok
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.2cvr.9nkf
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.27393726
title: Suplementdata.txt

description: Data for Fig. 2-6
DOI: 10.6084/m9.figshare.27393726.v1
title: Suplementdata.txt

description: Data for Fig. 2-6
DOI: 10.7483/opendata.cms.rd8x.gb1v
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.hmiw.mblw
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.a3yh.zzn3
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.f9q6.mnbb
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.18u7.tfp4
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.3x6a.qekd
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.otnb.yfc2
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fce5.cglt
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3whh.jhvw
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xmuf.tdep
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jfx3.wb9e
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.d57g.pqa6
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.flzm.4418
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i0gh.iqyc
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ciqj.jq73
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.t69o.szeq
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.scmi.bwfi
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-2800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.he22.3ljw
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.uu3s.ea5h
title: /NMSSM_XToYHTo2Tau2B_MX-3000_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM