cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.ivgf.8fo9
title: /NMSSM_XToYHTo2G2B_MX-280_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3g6f.klna
title: /NMSSM_XToYHTo2G2B_MX-280_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sisg.hzkg
title: /NMSSM_XToYHTo2G2B_MX-280_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ly4f.deuo
title: /NMSSM_XToYHTo2G2B_MX-280_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.7lcy.s1pa
title: /NMSSM_XToYHTo2G2B_MX-280_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vj8c.2rc3
title: /NMSSM_XToYHTo2G2B_MX-280_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.tsm4t5
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasya ocellata (Gratel.) Harv."
 ]
}

 The dataset includes 498 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068273-241126133413365/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.qjjq.a94h
title: /NMSSM_XToYHTo2G2B_MX-280_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.9h9x.2xpm
title: /NMSSM_XToYHTo2G2B_MX-280_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14643776
title: Location-transportation model
DOI: 10.5281/zenodo.14643777
title: Location-transportation model
DOI: 10.7483/opendata.cms.mmth.q3cd
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.fhn3yv
title: Occurrence Download

description: A dataset containing 7780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is IND.2.5.10_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 7780 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068274-241126133413365/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.4tci.5d1t
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.myb0.iyv0
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1j21.jq8d
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.lafg.6hf7
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3jv3.ov7q
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.9k9l.w9jx
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vxgp.cv4u
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8mk6.a4x5
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bvwj.y964
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.top7.dc6u
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.spx2.mkb9
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vjj4.b10h
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.u4u6.93e6
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.abeg.4svx
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nmak.0d0w
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.1gb9.1au4
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5sae.47i0
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4yng.2x3e
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.n4pj.n23b
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.lthc.6jvy
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.bj5r.otng
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.izxb.avgg
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-190_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.cguc.27gl
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-190_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8gmc.qhbe
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.imz1.f1br
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14523868
title: NFDI Network Analysis / NFDI Netzwerkanalyse

description: This project is about the Nationale Forschungsdateninfrastruktur (NFDI). It analysis its connections between entities and visualizes those on a map. Node size indicate the amount of participation in consortia. Weight of edges indicate the amount of collaboration between entities within consortia.

Plots

There are five different kind of plots.



all: This shows the whole network of entities. Only universities and entities with at least three consortial participations are labelled.

TU9: Highlighting the universities that are part of TU9

EXU: Highlighting all the universities with the status "Exzellenzuniversität"

NHR: Highlighting members of the "Nationales Hochleistungsrechnen"

Applicants: Highlighting the entities that have the role "applicant" for at least one consortium.


Data 

See the link below to the data repository. 

The data used for the network has been taken from Wikidata using two queries:- `data/wikidata-edges.sparql`- `data/wikidata-nodes.sparql`

The results have been annoted with additional information regarding TU9, EXU,NHR affiliations. 

Visualization

See the link below to the data repository.

We used `Gephi 0.10.1` for the visualization. The `.gephi`-file is stored at`data/`. You find all maps as layers in `maps/nfdi-network-analysis-map.svg`.
DOI: 10.7483/opendata.cms.nt4o.e7qm
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.00e8.aidz
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q7iy.6y30
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jovh.u5ip
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.kpj2.73sa
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4oj5.hpss
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ccii.oxlf
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.35vm.kxi1
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.j7py.hwk2
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.10069080
title: Bodily and Visual-Cognitive Navigation Aids to Enhance Spatial Recall in Mild Cognitive Impairment

description: Individuals with mild cognitive impairment (MCI) syndrome often report navigation difficulties, accompanied by impairments in egocentric and allocentric spatial memory. However, studies have shown that both bodily cues (e.g., motor commands, proprioception, vestibular information) and visual-cognitive cues (e.g., maps, directional arrows, attentional markers) can support spatial memory in MCI. These aids offer valuable insights for designing navigation training programs in aging. Fifteen MCI patients were recruited for this study. Their egocentric and allocentric memory recall performances were tested through a navigation task with five different virtual reality (VR) assistive encoding procedures (bodily, vision only, interactive allocentric map, reduced executive load, free navigation without cues). Bodily condition consisted of an immersive VR setup to engage self-motion cues, vision only condition consisted of passive navigation without interaction, in the interactive allocentric map condition patients could use a bird-view map, in the reduced executive load condition directional cues and attentional markers were employed, and during free navigation no aid was implemented. Bodily condition improved spatial memory compared to vision only and free navigation without cues. In addition, the interactive allocentric map was superior to the free navigation without cues. Surprisingly, the reduced executive load was comparable to vison only condition. Moreover, a detrimental impact of free navigation was observed on allocentric memory across testing trials. These findings challenge the notion of an amodal representation of space in aging, suggesting that spatial maps can be affected by the modality in which the environment was originally encoded.
DOI: 10.5281/zenodo.10069081
title: Bodily and Visual-Cognitive Navigation Aids to Enhance Spatial Recall in Mild Cognitive Impairment

description: Individuals with mild cognitive impairment (MCI) syndrome often report navigation difficulties, accompanied by impairments in egocentric and allocentric spatial memory. However, studies have shown that both bodily cues (e.g., motor commands, proprioception, vestibular information) and visual-cognitive cues (e.g., maps, directional arrows, attentional markers) can support spatial memory in MCI. These aids offer valuable insights for designing navigation training programs in aging. Fifteen MCI patients were recruited for this study. Their egocentric and allocentric memory recall performances were tested through a navigation task with five different virtual reality (VR) assistive encoding procedures (bodily, vision only, interactive allocentric map, reduced executive load, free navigation without cues). Bodily condition consisted of an immersive VR setup to engage self-motion cues, vision only condition consisted of passive navigation without interaction, in the interactive allocentric map condition patients could use a bird-view map, in the reduced executive load condition directional cues and attentional markers were employed, and during free navigation no aid was implemented. Bodily condition improved spatial memory compared to vision only and free navigation without cues. In addition, the interactive allocentric map was superior to the free navigation without cues. Surprisingly, the reduced executive load was comparable to vison only condition. Moreover, a detrimental impact of free navigation was observed on allocentric memory across testing trials. These findings challenge the notion of an amodal representation of space in aging, suggesting that spatial maps can be affected by the modality in which the environment was originally encoded.
DOI: 10.7483/opendata.cms.r8cz.wdl5
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.mp12.t8fb
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.mz44.bbvl
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-2800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.szbj.otpk
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.q26z.ps8j
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.j6ai.oktv
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8mj7.fd4n
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.wkwk.aji7
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.ynegv7
title: Occurrence Download

description: A dataset containing 10785 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polysiphonia stricta (Dillwyn) Greville"
 ]
}

 The dataset includes 10785 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068277-241126133413365/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.rckk.8dpb
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.bf2h.zd37
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.marg.5378
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.wr1r.2ddr
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.h8bs.o0oj
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.r0kq.llh7
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-550_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.dzwq.ewsv
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-550_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.20r1.596e
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.r3no.nl3f
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.deic.gs3i
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rnu1.ck6h
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.5os3.aafs
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-650_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.9no8.xdct
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-650_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.pqa4.b2k9
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vfxg.g5zm
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.mocf.ywfs
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.88l3.8097
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ouei.wc9h
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.c6gn.eivi
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.k6da.xpve
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.eri6.serb
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.udlr.7vif
title: /NMSSM_XToYHTo2G2B_MX-3000_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.a7behh
title: Occurrence Download

description: A dataset containing 889937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agriopis marginaria (Fabricius), Agriphila straminella (Denis & Schiffermüller), 1775, Agrotis exclamationis (Linnaeus, 1758), Aleimma loeflingiana (Linnaeus, 1758), Alsophila aescularia (Denis & Schiffermüller), 1775)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 889937 records from 683 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068219-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcu395
title: Occurrence Download

description: A dataset containing 4565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picoides arcticus (Swainson, 1832)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1989",
 "Year is less than or equal to 2009",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 4565 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239430-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfph6z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Swertia conaensis T.N.Ho & S.W.Liu"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003040-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cy5be
title: Occurrence Download

description: A dataset containing 1410151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer platanoides L., Acer rubrum L., Betula pendula Roth, Carpinus betulus L., Liriodendron tulipifera L.)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1975"
 ]
}

 The dataset includes 1410151 records from 1173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239432-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fr3vf
title: Occurrence Download

description: A dataset containing 2172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe, North America)",
 "TaxonKey is Paeonia obovata Maxim."
 ]
}

 The dataset includes 2172 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003053-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6vcrc
title: Occurrence Download

description: A dataset containing 7523 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus garryana Douglas ex Hook."
 ]
}

 The dataset includes 7523 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181285-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n78dzh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Crassocephalum crepidioides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014306-220831081235567/datasets/export for details.