cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28211789.v1
title: <b>Data set (Annexures) related to the study ‘TECH-SPOT’: A Technology-Enhanced Assessment of Spotting Anatomical Structures: Feasibility and Challenges</b>

description: In anatomical practical examinations, Spotters are used for real-time assessment. This method involves pre-dissected specimens with structures pinned or tied. While it's suitable for small groups, it's challenging for large groups. To address this, we propose using 'Technology Enhanced Anatomy Spotters,' i.e., 'Image Based Spotters,' for formative assessments. The study involved here will explore students' and faculty' perceptions of this approach and identifies challenges in its conduct.
DOI: 10.7483/opendata.cms.62nc.6u17
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.uxo7.ekhh
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.c0qn.fl2o
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.5bos.kvv9
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.k1j0.idy4
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jsb3.6dwx
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH75_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.kt7z.0m4v
title: /TprimeBToTH_TLep_Hbb_LH_MT1600_MH75_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.zejl.up5l
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.8321216
title: [VISIR-2 ship wheater routing model] raw data

description: VISIR-2 ship weather routing model raw data
This repository contains the raw data necessary to reproduce the results from scratch as presented in the Geosci. Model Dev. Discussions manuscript titled "VISIR-2: ship weather routing in Python". The paper will be linked here as soon as available online.  
 
How to Use the Data
To reproduce the results from the manuscript, please follow these steps:
1. download this repository to your local machine.
2. download the Zenodo repository containing VISIR-2 source code from this link
3. run VISIR-2 jobs following the instructions included in the manual that can be found inside VISIR-2 source code at VISIR-2/Docs/Manual/VISIR-2_userManual.pdf
 
Contact
If you have any questions or need further assistance, please feel free to contact us:
- Mario Leonardo Salinas
- Email: mario.salinas@cmcc.it
 
description: VISIR-2 model documentation and results are provided in the manuscript: 
Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2060, 2023.
DOI: 10.7483/opendata.cms.zcn6.81l1
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.10674079
title: [VISIR-2 ship weather routing model] raw data

description: VISIR-2 ship weather routing model raw data

This repository contains the raw data necessary to reproduce the results from scratch as presented in the Geosci. Model Dev. Discussions manuscript titled "VISIR-2: ship weather routing in Python". The paper will be linked here as soon as available online.  

 

How to Use the Data

To reproduce the results from the manuscript, please follow these steps:

1. download this repository to your local machine.

2. download the Zenodo repository containing VISIR-2 source code from this link

3. run VISIR-2 jobs following the instructions included in the manual that can be found inside VISIR-2 source code at VISIR-2/Docs/Manual/VISIR-2_userManual.pdf

 

Contact

If you have any questions or need further assistance, please feel free to contact us:

- Mario Leonardo Salinas

- Email: mario.salinas@cmcc.it

 
description: VISIR-2 model documentation and results are provided in the manuscript: 
Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2060, 2023.
DOI: 10.5281/zenodo.14652624
title: New explanation for oxidation-induced Cr4+ formation in garnets

description: Data used for creation of the Figures for publication
DOI: 10.5281/zenodo.14652625
title: New explanation for oxidation-induced Cr4+ formation in garnets

description: Data used for creation of the Figures for publication
DOI: 10.5281/zenodo.8321215
title: [VISIR-2 ship weather routing model] raw data

description: VISIR-2 ship weather routing model raw data

This repository contains the raw data necessary to reproduce the results from scratch as presented in the Geosci. Model Dev. Discussions manuscript titled "VISIR-2: ship weather routing in Python". The paper will be linked here as soon as available online.  

 

How to Use the Data

To reproduce the results from the manuscript, please follow these steps:

1. download this repository to your local machine.

2. download the Zenodo repository containing VISIR-2 source code from this link

3. run VISIR-2 jobs following the instructions included in the manual that can be found inside VISIR-2 source code at VISIR-2/Docs/Manual/VISIR-2_userManual.pdf

 

Contact

If you have any questions or need further assistance, please feel free to contact us:

- Mario Leonardo Salinas

- Email: mario.salinas@cmcc.it

 
description: VISIR-2 model documentation and results are provided in the manuscript: 
Mannarini, G., Salinas, M. L., Carelli, L., Petacco, N., and Orović, J.: VISIR-2: ship weather routing in Python, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2060, 2023.
DOI: 10.7483/opendata.cms.e7ze.weu4
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1ggs.nx2q
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.5g0h.zu22
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.n3t6.77ti
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.agjd.8awh
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH175_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.piy9.4q77
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH175_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i3ca.kqg1
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.z45r.p9kv
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.bivi.tx12
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.15468/dl.hkdpca
title: Occurrence Download

description: A dataset containing 2276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hylis cariniceps (Reitter, 1902)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2276 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071157-241126133413365/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.ck3a.dax9
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.oqae.c09m
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ztcb.ccek
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.eg63.rsch
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8dxe.enm6
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4rbe.lhds
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.neas.1lz5
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cfxz.mna6
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.wcvj.1shc
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.200w.yh06
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5blk.pgrq
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ftu7.axx0
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH75_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ja6a.wr8u
title: /TprimeBToTH_TLep_Hbb_LH_MT1700_MH75_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.tqbvf2
title: Occurrence Download

description: A dataset containing 2214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is White shark tagging off New Zealand"
 ]
}

 The dataset includes 2214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071160-241126133413365/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.8ooc.odd0
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.z8gr.ixvq
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14653155
title: zxdfgsdghdfhdfgdfg
title: cvbcvbcvbcvb

description: vcsdfgdfgdfgdfgdfsgsdfgsdfg
DOI: 10.5281/zenodo.14653156
title: zxdfgsdghdfhdfgdfg
title: cvbcvbcvbcvb

description: vcsdfgdfgdfgdfgdfsgsdfgsdfg
DOI: 10.7483/opendata.cms.1gp7.wgp3
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2pzi.et27
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qbvr.v7bt
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.w1is.6rup
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.0ffg.lbwq
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH175_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.egy5.d2z7
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH175_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.u4c1.39ss
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4g6k.75z6
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.a1wn.fkst
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8ec8.xls7
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ch2m.boi1
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.7o3n.mi8k
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH25_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fa3r.wjev
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ygg7.71yv
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH350_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.nmg7.jpi1
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6e4k.ek0w
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH450_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jx7e.v8zr
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.48579/pro/cj3lhz
title: Collection of social ecological indicators for the assessment of gradients of the Metropolitan Zones Ateliers

description: Open, world wide rasters (biogeoregions, land surface temperature, normalised difference vegetation index, population density and land cover) are cropped with respect to the polygons of the Zones Ateliers so as to compute indicators. This dataset contains the shapefile of Metropolitan Zones Ateliers reworked from DEIMS-SDR. It also contains JSON files, one per ZA, that contain indicators (namely BIOG, LSTD, LSTN, NDVI, GPW4, and LC) computed as averages or quantiles.
DOI: 10.7483/opendata.cms.ejee.uiht
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.22ib.xtfs
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0ask.0e8a
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH50_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.2l04.t709
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH75_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.s62q.1dtz
title: /TprimeBToTH_TLep_Hbb_LH_MT1800_MH75_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.sfil.4rpp
title: /TprimeBToTH_TLep_Hbb_LH_MT1900_MH100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.b3mj.nma1
title: /TprimeBToTH_TLep_Hbb_LH_MT1900_MH100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.msa3.w9z0
title: /TprimeBToTH_TLep_Hbb_LH_MT1900_MH125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1qnj.hmxd
title: /TprimeBToTH_TLep_Hbb_LH_MT1900_MH125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.sh2dxw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 0 records from 37524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070571-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfsx84
title: Occurrence Download

description: A dataset listing the 12 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atollidae"
 ]
}

 The dataset's 12 records were derived from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190547-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e38w8
title: Occurrence Download

description: A dataset containing 542076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus aucuparia L., Spiraea chamaedryfolia L., Tilia ×vulgaris Hayne)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 542076 records from 480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162980-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2m5k3
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Susana Rohwer & Middleton, 1932"
 ]
}

 The dataset includes 45 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032806-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enfzmy
title: Occurrence Download

description: A dataset containing 888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.3_1",
 "TaxonKey is Hyla wrightorum Taylor, 1939"
 ]
}

 The dataset includes 888 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027372-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jssby4
title: Occurrence Download

description: A dataset containing 710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.19382 21.75844,-108.19382 21.75844,-110.05232 25.89062,-114.62163 32.95449,-117.54063 32.71231,-119.11246 28.79113,-112.19382 21.75844))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megascops kennicottii (D.G.Elliot, 1867)"
 ]
}

 The dataset includes 710 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174814-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3eu1kl
title: Occurrence Download

description: A dataset containing 449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachythops Haliday, 1839"
 ]
}

 The dataset includes 449 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032819-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3tdde
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.21.96_1",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194538-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.baacyh
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Occurrence evidence",
 "BasisOfRecord is Material citation"
 ]
 },
 "Country is Mozambique",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crocodylidae"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174813-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7apv3s
title: Occurrence Download

description: A dataset containing 5574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Pipistrellus nathusii (Keyserling & Blasius, 1839)"
 ]
}

 The dataset includes 5574 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194524-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.