cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.tsg0.seqw
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lrdn.23hm
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.cfw9.cwp5
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4ucb.omcj
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.fegc.rl9c
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.00wu.yqxi
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.tgop.xx8m
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jp62.r992
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.x26j.bocw
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.uz4b.8zqt
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.wgvz.4cwo
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4fiq.xvt9
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.wmg5.8hot
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zzt6.ljmf
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.cq5n.hgan
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.aihr.wmqm
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.l6dh.rb7z
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.f2pb.91q9
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.pokb.loc1
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.zz32.0q5q
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.4hap.x4mg
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3quq.l9by
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.9azs.u3rr
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.22m0.9k0d
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.2gfq.xe19
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1tj2.zl7j
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.7czi.auga
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.2ica.gk9l
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1400_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.cg78.21xf
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0yag.x53u
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.tzrc.oq7c
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jtod.e5m7
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.9t90.ohj9
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hmwf.muhd
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.zjxc.hn5z
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tsv3.17t5
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.whjk.ctul
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.nsfs.mbd6
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.2sps.mazj
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.mqt5.nz3f
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-1300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.dmfg.ma9n
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3lfz.hn18
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.13f1.xyi4
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.8seg.fnmt
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.n2kn.peo1
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.qtqu.ecjy
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.pi8l.hrft
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.7483/opendata.cms.z8vg.xmxo
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v3/NANOAODSIM
DOI: 10.7483/opendata.cms.f1vu.fmnp
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5t0b.0bas
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.986e.f2b4
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6li8.zhna
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.y7z4.jtuv
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hxpt.wamg
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.dttu.frgh
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5i7u.4o74
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-700_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.26183/ms0d-4p25
title: Detailed air temperature measurements recorded across the Sydney Local Government Area during the summer of 2023/24 

description: Air temperature in complex urban terrain can vary. A large proportion of this variation originates from differences in thermal characteristics of materials that together make up the terrain. While roads and buildings can lead to higher temperatures in urban landscapes, trees and other green urban infrastructure can provide cooling. Hence, depending on the type, make and proportion of urban infrastructure (e.g. grey, green, blue), air temperatures will vary.
During the summer of 2023-2024, a total of 127 air temperature and relative humidity sensors recorded data every 10 minutes between 9 December 2023 and 6 March 2024 in and around the Local Government Area (LGA) of Sydney. This generated 1,5 million of individual measurements in two streams. Stream 1 covers the microclimate across the entire LGA, while Stream 2 contains data recorded for special case studies. All sensors were installed on trees, 2.5 - 3.0 m above the ground.
The associated research report includes detailed methodology, analysis of results, and the heat maps generated for the LGA, as well as conclusions and recommendations.
This dataset contains data from Stream 1 as .xlsx file: description of the data (spreadsheet 1) and air temperatures recorded in 92 (spreadsheet 2) and relative humidity in 32 locations across the LGA (spreadsheet 2). Spreadsheets 2 and 3 were also provided as csv file.  
This dataset provides measurement locations, physical address, geographic location, species name, height and canopy density of trees at each location (n = 92). Where available, temperature data represent mean and absolute maximum and minimum values measured at each location. Stream 1 dataset was split into early and late summer due to large number of missing loggers.
Data Note: Tair (°C) = air temperature measured in degrees Celsius, and the time and date are in Australian Eastern Daylight Time (AEDT).
DOI: 10.7483/opendata.cms.p2r1.pi5s
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.6wtc.28uq
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.djc8.smtc
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1mvg.qnpw
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.y8x4.ix9g
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.75m2.77v6
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.j8e4.n2et
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vrsh.dect
title: /NMSSM_XToYHTo2Z2BTo2L2Nu2B_MX-1500_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.15468/dl.6rnuw8
title: Occurrence Download

description: A dataset containing 1253216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus robur L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1253216 records from 3554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069926-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjagm7
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Astragalus nematodes"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058573-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwzzxy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ensis tropicalis)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058574-251120083545085/datasets/export for details.
DOI: 10.5066/f7j67g5b
title: Archive of Digitized Analog Boomer Seismic Reflection Data Collected during USGS Cruise USFHC in Mississippi Sound and Bay St. Louis, September 1989

description: The U.S. Geological Survey (USGS) Coastal and Marine Geology Program has actively collected geophysical and sedimentological data in the northern Gulf of Mexico for several decades, including shallow subsurface data in the form of high-resolution seismic reflection profiles (HRSP). Prior to the mid-1990s most HRSP data were collected in analog format as paper rolls of continuous profiles up to 25 meters long. As part of the National Geological and Geophysical Data Preservation Program (NGGDPP, https://datapreservation.usgs.gov/), and in collaboration with the Bureau of Ocean Energy Management, Marine Minerals Program, scientists at the USGS St. Petersburg Coastal and Marine Science Center are converting the analog paper records to digital format using a large-format continuous scanner. The scanned images were subsequently processed to fix distortions and crop out blank spaces prior to exporting as industry standard Society of Exploration Geophysicists (SEG-Y) formatted files.

This data release serves as an archive of HRSP profiles annotated with header information, converted SEG-Y files, navigation data, cruise trackline files, logbooks, as well as annotated/core location maps. The HRSP data were collected using a Huntec boomer seismic system onboard the Research Vessel (R/V) Ecoli. Geophysical surveys were conducted in collaboration with the University of South Florida (USF) between September 13 and 19, 1989. Data were acquired within Bay St. Louis and the adjacent Mississippi Sound offshore of Hancock County, Mississippi. Data collection and processing methods are described in USGS Data Series 1047 (https://doi.org/10.3133/ds1047).
DOI: 10.5281/zenodo.17978293
title: «ЮЗ-ЖАГ СОХАСИДАГИ ОНКОЛОГИК ПАТОЛОГИЯЛАРНИНГ РЕТРОСПЕКТИВ ВА ПРОСПЕКТИВ ТАХЛИЛИ».

description: Долзарблиги. Жахон микёсида ёмон сифатли ўсмалар (ЁСЎ) юз-жаг сохасида (ЮЖС) учраши кўрсаткичлари купайиб бораётганлиги, беморларга тиббий хизмат курсатиш ва ижтимоий-тиббий ва рухий ёрдам курсатишни муаммолари хозирги кунда долзарблиги такидланган. Тадкикот жараёнида Фаргона вилояти ахолиси мисолида ЁСУларнинг ЮЖСни зарарлаш локализацияси ва гистологик ҳужайралар таркибига кўра тавсифи келтирилган: 36,8% – ю/ж нинг ўнг ярми; 35,2% -  ю/ж нинг чап ярми; 8,9% – ғалвирсимон суяк лабиринти ҳужайралари; 10% – ю/ж нинг ўнг ва чап ярми бир вактда; 5,6% – п/ж; 3,6% - бўрин ва териси: Нозологияси бўйича: Рак - 60,8%; Саркома - 15,2%; Меланома - 0,6%; Цилиндрома - 18,8%; Бошқа янги ўсмалар - 0,4%, Бу холат мутахасислар олдида янги-янги муаммоларни келтириб чикариши такидланган.

  Тадқиқотнинг мақсади. Фаргона вилояти ахолисида ЮЖС ЁСУ учраши частотаси, локализацияси, гистологик тузилмаси ва клиникасининг ретоспектив ва проспектив маълумотлар асосида тахлилига багишланган.
DOI: 10.5281/zenodo.17978294
title: «ЮЗ-ЖАГ СОХАСИДАГИ ОНКОЛОГИК ПАТОЛОГИЯЛАРНИНГ РЕТРОСПЕКТИВ ВА ПРОСПЕКТИВ ТАХЛИЛИ».

description: Долзарблиги. Жахон микёсида ёмон сифатли ўсмалар (ЁСЎ) юз-жаг сохасида (ЮЖС) учраши кўрсаткичлари купайиб бораётганлиги, беморларга тиббий хизмат курсатиш ва ижтимоий-тиббий ва рухий ёрдам курсатишни муаммолари хозирги кунда долзарблиги такидланган. Тадкикот жараёнида Фаргона вилояти ахолиси мисолида ЁСУларнинг ЮЖСни зарарлаш локализацияси ва гистологик ҳужайралар таркибига кўра тавсифи келтирилган: 36,8% – ю/ж нинг ўнг ярми; 35,2% -  ю/ж нинг чап ярми; 8,9% – ғалвирсимон суяк лабиринти ҳужайралари; 10% – ю/ж нинг ўнг ва чап ярми бир вактда; 5,6% – п/ж; 3,6% - бўрин ва териси: Нозологияси бўйича: Рак - 60,8%; Саркома - 15,2%; Меланома - 0,6%; Цилиндрома - 18,8%; Бошқа янги ўсмалар - 0,4%, Бу холат мутахасислар олдида янги-янги муаммоларни келтириб чикариши такидланган.

  Тадқиқотнинг мақсади. Фаргона вилояти ахолисида ЮЖС ЁСУ учраши частотаси, локализацияси, гистологик тузилмаси ва клиникасининг ретоспектив ва проспектив маълумотлар асосида тахлилига багишланган.
DOI: 10.17026/ar/v60yea
title: PAN-00094643 - strap end group 6

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00094643&lt;/p&gt;
description: Modified: 2025-08-12T15:45:31+02:00
DOI: 10.15468/dl.k9mnvd
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drosanthemum hispidum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 271 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058576-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b23jaz
title: Occurrence Download

description: A dataset containing 93117385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hemixos castanonotus, Hemixos flavala, Heterophasia capistrata, Hippolais olivetorum, Horornis diphone, Hypsipetes borbonicus, Hypsipetes crassirostris, Hypsipetes leucocephalus, Hypsipetes madagascariensis, Icterus cayanensis, Icterus galbula, Icterus graceannae, Icterus icterus, Icterus pectoralis, Icterus wagleri, Iduna pallida, Iduna rama, Irena puella, Junco hyemalis, Lagonosticta rhodopareia, Lagonosticta rubricata, Lagonosticta senegala, Lamprotornis caudatus, Lamprotornis chalybaeus, Lamprotornis iris, Lamprotornis nitens, Lamprotornis purpureus, Lamprotornis purpuroptera, Lamprotornis regius, Lamprotornis splendidus, Lamprotornis superbus, Lanius collaris, Lanius collurioides, Lanius meridionalis, Lanius tephronotus, Leiothrix argentauris, Leiothrix lutea, Leucopsar rothschildi, Linaria cannabina, Linaria flavirostris, Liocichla phoenicea, Locustella luscinioides, Lonchura atricapilla, Lonchura bicolor, Lonchura castaneothorax, Lonchura cucullata, Lonchura ferruginosa, Lonchura fringilloides, Lonchura hunsteini, Lonchura leucogastroides, Lonchura leucosticta, Lonchura maja, Lonchura malacca, Lonchura nana, Lonchura oryzivora, Lonchura punctulata, Lonchura spectabilis, Lonchura striata, Loxia pytyopsittacus, Loxigilla noctis, Loxigilla portoricensis, Loxigilla violacea, Lullula arborea, Luscinia megarhynchos, Malurus cyaneus, Manorina melanocephala, Manorina melanophrys, Melanocorypha bimaculata, Melanocorypha leucoptera, Melanocorypha mongolica, Melopyrrha nigra, Melospiza melodia, Menura novaehollandiae, Mimus gilvus, Mimus polyglottos, Minla cyanouroptera, Minla ignotincta, Minla strigula, Mirafra javanica, Mohoua albicilla, Mohoua ochrocephala, Molothrus ater, Molothrus bonariensis, Monticola solitarius, Montifringilla nivalis, Motacilla citreola, Mycerobas affinis, Mycerobas carnipes, Mycerobas icterioides, Myiomela leucura, Nectarinia tacazze, Neochmia modesta, Neochmia ruficauda, Neochmia temporalis, Niltava macgrigoriae, Niltava vivida, Notiomystis cincta, Onychognathus morio, Onychognathus nabouroup, Onychognathus tristramii, Oriolus auratus, Oriolus chinensis, Oriolus larvatus, Oriolus xanthornus, Oryzoborus angolensis, Paludipasser locustella, Panurus biarmicus, Paradisaea apoda, Paroaria capitata, Paroaria coronata, Paroaria dominicana, Paroaria gularis, Paroaria nigrogenis, Parus afer, Parus major)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93117385 records from 9071 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058536-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t74yac
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plethodon meridianus Highton & Peabody, 2000"
 ]
}

 The dataset includes 518 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116862-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lil0x6
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wolbachia pipientis Hertig, 1936"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000046-150203161911502/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.