cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n8nhgx
title: Occurrence Download

description: A dataset containing 1087 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ischiodon aegyptius (Wiedemann, 1830)"
 ]
}

 The dataset includes 1087 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025529-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kezfz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betta prima Kottelat, 1994",
 "Year 2000-2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025530-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v2mvt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betta splendens Regan, 1910",
 "Year 2000-2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025531-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvtujm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diomedea immutabilis Rothschild, 1893",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025532-240626123714530/datasets/export for details.
DOI: 10.15468/dl.9j75f7
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnophora quaterna (Loew, 1852)"
 ]
}

 The dataset includes 39 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025533-240626123714530/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.zdj4.89no
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q2ko.j0xd
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nkcd.ar7m
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.o2v8.agol
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.27s5.3x1f
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gzvs.ckel
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ij4g.2wie
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vi8m.3g9e
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.kecnyn
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.31331 20.56146,-98.17482 20.56146,-98.17482 31.81146,-126.31331 31.81146,-126.31331 20.56146))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lophiidae"
 ]
}

 The dataset includes 142 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067733-241126133413365/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.fj2k.rcw9
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.n2rg.lxm0
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.oluj.i69f
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.r09h.hp4l
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.cdol.ev0n
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.h5yd.zq55
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-190_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.p76e.s506
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-190_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6oie.05pn
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xszs.if62
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.uke0.dqfu
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.egji.rl9j
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.k3yp.ezbu
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.9rbo.fnv4
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fxmb.sh3e
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2usl.twfc
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.g9ir.70ot
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rcic.76ro
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.ykgqdr
title: Occurrence Download

description: A dataset containing 17904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo virginianus (J.F.Gmelin, 1788)",
 "Year 2010-2010"
 ]
}

 The dataset includes 17904 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067735-241126133413365/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.4hv0.pg17
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.qff9.1jj0
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.c8s3.fde1
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.pakks2
title: Occurrence Download

description: A dataset containing 3999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo virginianus (J.F.Gmelin, 1788)",
 "Year 2010-2010"
 ]
}

 The dataset includes 3999 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067736-241126133413365/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.xpb7.nlny
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.6fug.gmwb
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hjf3.i17m
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.13340214
title: Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity: Raw Data

description: This dataset contains all GenX model input and results data relevant to the working paper ‘Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity.’ Data for each modeled scenario is contained within a folder in the main directory ('Final_Outputs'), using the naming convention p1_2030_case[number]. Scenarios correspond to the following table:




Case Number
Scenario
VRE Cost
Forced Battery Capacity (GW)


1
Fixed Interconnection
Low
3.75


2
Fixed Interconnection
Low
5


3
Fixed Interconnection
Low
7.5


4
Fixed Interconnection
Low
15


5
Optimized Interconnection
Low
3.75


6
Optimized Interconnection
Low
5


7
Optimized Interconnection
Low
7.5


8
Optimized Interconnection
Low
15


9
Co-Located Storage
Low
3.75


10
Co-Located Storage
Low
5


11
Co-Located Storage
Low
7.5


12
Co-Located Storage
Low
15


13
Fixed Interconnection
Mid
3.75


14
Fixed Interconnection
Mid
5


15
Fixed Interconnection
Mid
7.5


16
Fixed Interconnection
Mid
15


17
Optimized Interconnection
Mid
3.75


18
Optimized Interconnection
Mid
5


19
Optimized Interconnection
Mid
7.5


20
Optimized Interconnection
Mid
15


21
Co-Located Storage
Mid
3.75


22
Co-Located Storage
Mid
5


23
Co-Located Storage
Mid
7.5


24
Co-Located Storage
Mid
15




The 'fixed interconnection' scenario describes the scenario where the capacity of interconnection for each solar photovoltaic (PV) or wind site is fixed to assumed values. The 'optimized interconnection' scenario enables the model to independently size the renewable energy to interconnection and grid connection capacity. The 'co-located storage' scenario enables any solar PV or wind resource and storage resource to be sited behind a grid connection point while optimizing the interconnection buildout for each site. These scenarios are further explained in the respective working paper. Renewable energy cost sensitivity tags include ‘low’ for assumed low projected VRE and battery costs in 2030 and ‘mid’ for assumed mid projected VRE and battery costs in 2030. Various storage discharge capacities are forced into the system as a percentage of peak demand and range from 3.75-15 GW. Within each case folder, all of the input files (.csv), result files directly outputted by the model (in the 'Results' folder), and setting files (GenX and solver settings in the 'Settings' folder) can be found. All model outputs are described in detail in the GenX documentation. The code can be found on the GenX GitHub repository: https://github.com/GenXProject/GenX.jl. This work has not yet been peer-reviewed.
DOI: 10.5281/zenodo.13340213
title: Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity: Raw Data

description: This dataset contains all GenX model input and results data relevant to the working paper ‘Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity.’ Data for each modeled scenario is contained within a folder in the main directory ('Final_Outputs'), using the naming convention p1_2030_case[number]. Scenarios correspond to the following table:




Case Number
Scenario
VRE Cost
Forced Battery Capacity (GW)


1
Fixed Interconnection
Low
3.75


2
Fixed Interconnection
Low
5


3
Fixed Interconnection
Low
7.5


4
Fixed Interconnection
Low
15


5
Optimized Interconnection
Low
3.75


6
Optimized Interconnection
Low
5


7
Optimized Interconnection
Low
7.5


8
Optimized Interconnection
Low
15


9
Co-Located Storage
Low
3.75


10
Co-Located Storage
Low
5


11
Co-Located Storage
Low
7.5


12
Co-Located Storage
Low
15


13
Fixed Interconnection
Mid
3.75


14
Fixed Interconnection
Mid
5


15
Fixed Interconnection
Mid
7.5


16
Fixed Interconnection
Mid
15


17
Optimized Interconnection
Mid
3.75


18
Optimized Interconnection
Mid
5


19
Optimized Interconnection
Mid
7.5


20
Optimized Interconnection
Mid
15


21
Co-Located Storage
Mid
3.75


22
Co-Located Storage
Mid
5


23
Co-Located Storage
Mid
7.5


24
Co-Located Storage
Mid
15




The 'fixed interconnection' scenario describes the scenario where the capacity of interconnection for each solar photovoltaic (PV) or wind site is fixed to assumed values. The 'optimized interconnection' scenario enables the model to independently size the renewable energy to interconnection and grid connection capacity. The 'co-located storage' scenario enables any solar PV or wind resource and storage resource to be sited behind a grid connection point while optimizing the interconnection buildout for each site. These scenarios are further explained in the respective working paper. Renewable energy cost sensitivity tags include ‘low’ for assumed low projected VRE and battery costs in 2030 and ‘mid’ for assumed mid projected VRE and battery costs in 2030. Various storage discharge capacities are forced into the system as a percentage of peak demand and range from 3.75-15 GW. Within each case folder, all of the input files (.csv), result files directly outputted by the model (in the 'Results' folder), and setting files (GenX and solver settings in the 'Settings' folder) can be found. All model outputs are described in detail in the GenX documentation. The code can be found on the GenX GitHub repository: https://github.com/GenXProject/GenX.jl. This work has not yet been peer-reviewed.
DOI: 10.5281/zenodo.14642109
title: Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity: Raw Data

description: This dataset contains all GenX model input and results data relevant to the working paper ‘Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity.’ Data for each modeled scenario is contained within a folder in the main directory ('Final_Outputs'), using the naming convention p1_2030_case[number]. Scenarios correspond to the following table:




Case Number
Scenario
VRE Cost
Forced Battery Capacity (GW)


1
Fixed Interconnection
Low
3.75


2
Fixed Interconnection
Low
5


3
Fixed Interconnection
Low
7.5


4
Fixed Interconnection
Low
15


5
Optimized Interconnection
Low
3.75


6
Optimized Interconnection
Low
5


7
Optimized Interconnection
Low
7.5


8
Optimized Interconnection
Low
15


9
Co-Located Storage
Low
3.75


10
Co-Located Storage
Low
5


11
Co-Located Storage
Low
7.5


12
Co-Located Storage
Low
15


13
Fixed Interconnection
Mid
3.75


14
Fixed Interconnection
Mid
5


15
Fixed Interconnection
Mid
7.5


16
Fixed Interconnection
Mid
15


17
Optimized Interconnection
Mid
3.75


18
Optimized Interconnection
Mid
5


19
Optimized Interconnection
Mid
7.5


20
Optimized Interconnection
Mid
15


21
Co-Located Storage
Mid
3.75


22
Co-Located Storage
Mid
5


23
Co-Located Storage
Mid
7.5


24
Co-Located Storage
Mid
15




The 'fixed interconnection' scenario describes the scenario where the capacity of interconnection for each solar photovoltaic (PV) or wind site is fixed to assumed values. The 'optimized interconnection' scenario enables the model to independently size the renewable energy to interconnection and grid connection capacity. The 'co-located storage' scenario enables any solar PV or wind resource and storage resource to be sited behind a grid connection point while optimizing the interconnection buildout for each site. These scenarios are further explained in the respective working paper. Renewable energy cost sensitivity tags include ‘low’ for assumed low projected VRE and battery costs in 2030 and ‘mid’ for assumed mid projected VRE and battery costs in 2030. Various storage discharge capacities are forced into the system as a percentage of peak demand and range from 3.75-15 GW. Within each case folder, all of the input files (.csv), result files directly outputted by the model (in the 'Results' folder), and setting files (GenX and solver settings in the 'Settings' folder) can be found. All model outputs are described in detail in the GenX documentation. The code can be found on the GenX GitHub repository: https://github.com/GenXProject/GenX.jl. This work has not yet been peer-reviewed.
DOI: 10.7483/opendata.cms.ky0j.t3r9
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3ibj.zk00
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jwo5.pdvg
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ekwa.rkqi
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.k2mv.xbp8
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.gdv6m5
title: Occurrence Download

description: A dataset containing 599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Anopheles punctimacula Dyar & Knab, 1906"
 ]
}

 The dataset includes 599 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067737-241126133413365/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.zicc.er7h
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.hhth.4mw6
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.klxh.u9ft
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sjf2.y6qn
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tciv.c78x
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fk5i.p4ay
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bz7w.jkqk
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.xy7t.dao2
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6ut9.iy2w
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.0jt2.6g3s
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.s8st.rhr0
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2500_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kddj.jhyy
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.xrni.4yww
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ugj6.uxiq
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.22124249
title: complete original data in three experiments for global (meta-)memory

description: complete original data in three behavioral experiments for global (meta-)memory superiority effect of induced insight
DOI: 10.7483/opendata.cms.dllk.0bof
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sw90.117n
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zf8e.dwyw
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fo8u.oiuh
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.dzy8.bbke
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qiob.j1uk
title: /NMSSM_XToYHTo2B2WTo2B2Q1L1Nu_MX-2600_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM