cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5064/f6j4josg/xv58ei
title: McIntosh_Interview Guide_SCI.pdf
DOI: 10.5064/f6j4josg/3kxa4w
title: McIntosh_Transcript_IND10068.pdf
DOI: 10.5064/f6j4josg/c4rsdu
title: McIntosh_Transcript_SCI53056.pdf
DOI: 10.5064/f6j4josg/daxigq
title: McIntosh_Transcript_NET12400.pdf
DOI: 10.5064/f6j4josg/wjudq9
title: McIntosh_Transcript_PAT1113.pdf
DOI: 10.5064/f6j4josg/vwsye7
title: McIntosh_ SurveyData_PAT.tab
DOI: 10.5064/f6j4josg/r5y61m
title: McIntosh_Transcript_CLN53012.pdf
DOI: 10.5064/f6j4josg/opxdpf
title: McIntosh_ InterviewGuide_PAT.pdf
DOI: 10.5064/f6j4josg/uhdxt8
title: McIntosh_Transcript_SCI22366.pdf
DOI: 10.5064/f6j4josg/qgqcxq
title: McIntosh_Transcript_SCI22418.pdf
DOI: 10.5064/f6j4josg/aiskpg
title: McIntosh_Transcript_NET12408.pdf
DOI: 10.5064/f6j4josg/s03tza
title: McIntosh_ SurveyQuestionnaire_PAT.pdf
DOI: 10.5064/f6j4josg/4prss8
title: McIntosh_Transcript_IND10030.pdf
DOI: 10.5064/f6j4josg/0xqo5j
title: McIntosh_Transcript_SCI12275.pdf
DOI: 10.5064/f6j4josg/qjczws
title: McIntosh_Transcript_IND10193.pdf
DOI: 10.5064/f6j4josg/varptw
title: McIntosh_Transcript_CLN53050.pdf
DOI: 10.5064/f6j4josg/odujha
title: McIntosh_Transcript_NET22379.pdf
DOI: 10.5064/f6j4josg/hapewb
title: McIntosh_Transcript_CIO12364.pdf
DOI: 10.5064/f6j4josg/nudyrw
title: McIntosh_Transcript_SCI52869.pdf
DOI: 10.5064/f6j4josg/5qmmm1
title: McIntosh_Transcript_CIO12188.pdf
DOI: 10.5064/f6j4josg/4mb3yk
title: McIntosh_ SurveyQuestionnaire_NET.pdf
DOI: 10.5064/f6j4josg/mvy8lf
title: McIntosh_Transcript_NET22447.pdf
DOI: 10.5064/f6j4josg/zx9sap
title: McIntosh_Transcript_CIO11008.pdf
DOI: 10.5064/f6j4josg/bsmks8
title: McIntosh_Transcript_CIO21094.pdf
DOI: 10.5064/f6j4josg/e082og
title: McIntosh_Transcript_NET32433.pdf
DOI: 10.5064/f6j4josg/bdpyv6
title: McIntosh_Transcript_SCI32577.pdf
DOI: 10.5064/f6j4josg/jnq1dz
title: McIntosh_Transcript_NET12422.pdf
DOI: 10.5064/f6j4josg/dpvhvh
title: McIntosh_Transcript_NET22432.pdf
DOI: 10.5064/f6j4josg/0anddn
title: McIntosh_Transcript_RIO12557.pdf
DOI: 10.5064/f6j4josg/gz4wgq
title: McIntosh_Transcript_SCI22348.pdf
DOI: 10.5064/f6j4josg/8mkott
title: McIntosh_Transcript_CLN52695.pdf
DOI: 10.15468/dl.q5rg7e
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sagittaria lancifolia media"
 ]
}

 The dataset includes 244 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003469-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6j4josg/bjdqbb
title: McIntosh_Transcript_CLN10408.pdf
DOI: 10.5064/f6j4josg/jml7gg
title: McIntosh_ InterviewInformationSlidesWithScript_PAT.pdf
DOI: 10.5064/f6j4josg/cghfxt
title: McIntosh_Transcript_RIO12333.pdf
DOI: 10.5064/f6j4josg/il0rlk
title: McIntosh_Transcript_CIO12401.pdf
DOI: 10.5064/f6j4josg/lwl16s
title: McIntosh_Transcript_CIO12347.pdf
DOI: 10.15468/dl.tffhxs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.699 2.860175, 99.62864999999999 2.854606, 99.560035 2.838037, 99.494844 2.810875, 99.434686 2.773791, 99.381041 2.727698, 99.335232 2.673732, 99.298385 2.613223, 99.271406 2.547661, 99.25496 2.478663, 99.249448 2.407925, 99.255005 2.337192, 99.27149300000001 2.268203, 99.29850500000001 2.202658, 99.335373 2.14217, 99.38119 2.088226, 99.434827 2.042156, 99.494964 2.005092, 99.56012200000001 1.977946, 99.62869600000001 1.961387, 99.699 1.955822, 99.76930400000001 1.961387, 99.837878 1.977946, 99.903036 2.005092, 99.963173 2.042156, 100.01681 2.088226, 100.062627 2.14217, 100.099495 2.202658, 100.126507 2.268203, 100.142995 2.337192, 100.148552 2.407925, 100.14304 2.478663, 100.126594 2.547661, 100.099615 2.613223, 100.062768 2.673732, 100.016959 2.727698, 99.963314 2.773791, 99.903156 2.810875, 99.837965 2.838037, 99.76935 2.854606, 99.699 2.860175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003470-260120142942310/datasets/export for details.
DOI: 10.5064/f6j4josg/2ityr4
title: McIntosh_Transcript_CLN10001.pdf
DOI: 10.5064/f6j4josg/mqvy9l
title: McIntosh_Transcript_CLN42630.pdf
DOI: 10.5064/f6j4josg/lrs8dh
title: McIntosh_ InterviewGuide_NET.pdf
DOI: 10.5064/f6j4josg/jo537y
title: McIntosh_Transcript_PAT1114.pdf
DOI: 10.15468/dl.xtsmn2
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-2.982 5.790142, -3.05262 5.784571, -3.121498 5.767997, -3.186933 5.740827, -3.247311 5.703733, -3.301145 5.657629, -3.347108 5.603653, -3.384069 5.543136, -3.41112 5.477569, -3.427598 5.408569, -3.433101 5.337834, -3.427496 5.267108, -3.410926 5.198131, -3.383802 5.1326, -3.346794 5.072128, -3.300815 5.018202, -3.246997 4.972149, -3.186665 4.9351, -3.121303 4.907966, -3.052518 4.891414, -2.982 4.885851, -2.911482 4.891414, -2.842697 4.907966, -2.777335 4.9351, -2.717003 4.972149, -2.663185 5.018202, -2.617206 5.072128, -2.580198 5.1326, -2.553074 5.198131, -2.536504 5.267108, -2.530899 5.337834, -2.536402 5.408569, -2.55288 5.477569, -2.579931 5.543136, -2.616892 5.603653, -2.662855 5.657629, -2.716689 5.703733, -2.777067 5.740827, -2.842502 5.767997, -2.91138 5.784571, -2.982 5.790142))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003471-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6j4josg/uizesm
title: McIntosh_Transcript_IND10236.pdf
DOI: 10.5064/f6j4josg/mbxgt8
title: McIntosh_InterviewCodebook_NET.pdf
DOI: 10.5064/f6j4josg/edzk5m
title: McIntosh_Transcript_PAT1196.pdf
DOI: 10.5064/f6j4josg/vfbgef
title: McIntosh_Transcript_RIO11056.pdf
DOI: 10.5064/f6j4josg/1n1x2i
title: McIntosh_Transcript_NET12426.pdf
DOI: 10.5064/f6j4josg/dnoy1e
title: McIntosh_Transcript_CIO21083.pdf
DOI: 10.5064/f6j4josg/ovy0si
title: McIntosh_Transcript_RIO11019.pdf
DOI: 10.5064/f6j4josg/jerqrr
title: McIntosh_ InterviewGuide_RIO.pdf
DOI: 10.5064/f6j4josg/bjrpzh
title: McIntosh_ SurveyData_CIO.tab
DOI: 10.5064/f6j4josg/mgqmwz
title: McIntosh_Interview Codebook_CLN.pdf
DOI: 10.5064/f6j4josg/1petjb
title: McIntosh_IRB_ConsentInfoSheet_PAT.pdf
DOI: 10.5064/f6j4josg/0by2ac
title: McIntosh_Transcript_SCI52816.pdf
DOI: 10.5064/f6j4josg/ocqzqv
title: McIntosh_Transcript_CLN12695.pdf
DOI: 10.5064/f6j4josg/gdookc
title: McIntosh_Transcript_RIO32474.pdf
DOI: 10.5064/f6j4josg/czxz4r
title: McIntosh_Transcript_NET12314.pdf
DOI: 10.5064/f6j4josg/im4ftp
title: McIntosh_Transcript_IND10081.pdf
DOI: 10.5064/f6j4josg/qmknff
title: McIntosh_Transcript_NET12405.pdf
DOI: 10.5064/f6j4josg/uyviio
title: McIntosh_Transcript_CLN10394.pdf
DOI: 10.5064/f6j4josg/tn3mwl
title: McIntosh_Transcript_PAT1308.pdf
DOI: 10.5064/f6j4josg/ie8pcs
title: McIntosh_Transcript_RIO12391.pdf
DOI: 10.5064/f6j4josg/nb9fro
title: McIntosh_Transcript_NET12449.pdf
DOI: 10.5064/f6j4josg/brziou
title: McIntosh_Transcript_SCI12280.pdf
DOI: 10.5064/f6j4josg/igqdal
title: McIntosh_Transcript_SCI22361.pdf
DOI: 10.5064/f6j4josg/qurfsk
title: McIntosh_ SurveyData_RIO.tab
DOI: 10.5064/f6j4josg/l1s1ia
title: McIntosh_Survey Data_IND.tab
DOI: 10.5064/f6j4josg/e35a59
title: McIntosh_Transcript_CIO11009.pdf
DOI: 10.5064/f6j4josg/ladc1z
title: McIntosh_Survey Data_SCI.xlsx
DOI: 10.5064/f6j4josg/zspdid
title: McIntosh_Transcript_CLN53065.pdf
DOI: 10.5064/f6j4josg/63szat
title: McIntosh_Transcript_RIO11102.pdf
DOI: 10.5064/f6j4josg/tvx1t4
title: McIntosh_Transcript_IND10245.pdf
DOI: 10.5064/f6j4josg/l3lh0a
title: McIntosh_Transcript_PAT1204.pdf
DOI: 10.5064/f6j4josg/9wzbhz
title: McIntosh_InterviewCodebook_PAT.pdf
DOI: 10.5064/f6j4josg/5ppwwj
title: McIntosh_Transcript_CLN10381.pdf
DOI: 10.5064/f6j4josg/viwkds
title: McIntosh_Transcript_IND10088.pdf
DOI: 10.5064/f6j4josg/orcvi3
title: McIntosh_Transcript_NET12340.pdf
DOI: 10.5064/f6j4josg/kmq8xb
title: McIntosh_Transcript_RIO11132.pdf
DOI: 10.5064/f6j4josg/pa9we3
title: McIntosh_Transcript_PAT1337.pdf
DOI: 10.5064/f6j4josg/te9q87
title: McIntosh_Transcript_PAT1144.pdf
DOI: 10.5064/f6j4josg/hysvqk
title: McIntosh_Transcript_PAT1131.pdf
DOI: 10.5064/f6j4josg/fan6nt
title: McIntosh_Transcript_RIO11136.pdf
DOI: 10.5064/f6j4josg/wcyz7w
title: McIntosh_Transcript_SCI32605.pdf
DOI: 10.5064/f6j4josg/miq8je
title: McIntosh_Transcript_RIO12538.pdf
DOI: 10.5064/f6j4josg/zkia1e
title: McIntosh_Transcript_CIO11212.pdf
DOI: 10.5064/f6j4josg/xuutkv
title: McIntosh_Transcript_IND10234.pdf
DOI: 10.5064/f6j4josg/p6tyuz
title: McIntosh_Transcript_CIO12220.pdf
DOI: 10.5064/f6j4josg/epbutu
title: McIntosh_IRB_ConsentInfoSheet_AllGroupsExcept_PAT.pdf
DOI: 10.5064/f6j4josg/jultjq
title: McIntosh_Transcript_IND10121.pdf
DOI: 10.5064/f6j4josg/jfvbpc
title: McIntosh_Transcript_SCI12268.pdf
DOI: 10.5064/f6j4josg/oin7kn
title: McIntosh_Transcript_CIO11205.pdf
DOI: 10.5064/f6j4josg/xhnk19
title: McIntosh_Transcript_PAT10001.pdf
DOI: 10.5064/f6j4josg/yvub43
title: McIntosh_ InterviewGuide_CIO.pdf
DOI: 10.5064/f6j4josg/vdjcdq
title: McIntosh_ Survey_IND.pdf
DOI: 10.5064/f6j4josg/wvpxby
title: McIntosh_Transcript_RIO11095.pdf
DOI: 10.5064/f6j4josg/47foem
title: McIntosh_Transcript_CIO12425.pdf
DOI: 10.5064/f6j4josg/kzlbaf
title: McIntosh_Transcript_PAT1028.pdf
DOI: 10.5064/f6j4josg/aornds
title: McIntosh_Transcript_RIO11046.pdf
DOI: 10.5064/f6j4josg/deexel
title: McIntosh_Interview Guide_CLN.pdf
DOI: 10.5064/f6j4josg/ujlgba
title: McIntosh_InterviewCodebook_CIO&RIO.pdf
DOI: 10.5064/f6j4josg/gucebt
title: McIntosh_Transcript_CIO11154.pdf
DOI: 10.5064/f6j4josg/twvjlq
title: McIntosh_Transcript_CLN32496.pdf
DOI: 10.5064/f6j4josg/qpkerl
title: McIntosh_Transcript_IND12397.pdf
DOI: 10.5064/f6j4josg/xfwrmu
title: McIntosh_Transcript_PAT1389.pdf
DOI: 10.5064/f6j4josg/rg9d6r
title: McIntosh_ SurveyData_NET.tab
DOI: 10.5064/f6j4josg/cbqkbj
title: McIntosh_Transcript_PAT1143.pdf
DOI: 10.5064/f6j4josg/wsgcfr
title: McIntosh_Interview Codebook_SCI.pdf
DOI: 10.5064/f6j4josg/gfj9px
title: McIntosh_Transcript_RIO21194.pdf
DOI: 10.5064/f6j4josg/sxfrfl
title: McIntosh_Transcript_IND12330.pdf
DOI: 10.5064/f6j4josg/gawsqq
title: McIntosh_Transcript_NET12433.pdf
DOI: 10.5064/f6j4josg/ynexvi
title: McIntosh_ Survey_CLN&SCI.pdf
DOI: 10.5064/f6j4josg/o4jzis
title: McIntosh_Transcript_RIO11128.pdf
DOI: 10.5064/f6j4josg/8dmgpb
title: McIntosh_Transcript_SCI32576.pdf
DOI: 10.5064/f6j4josg/ejfegx
title: McIntosh_Transcript_IND10202.pdf
DOI: 10.5064/f6j4josg/oke3ii
title: McIntosh_Transcript_NET32446.pdf
DOI: 10.5064/f6j4josg/nybc1z
title: McIntosh_Transcript_SCI52817.pdf
DOI: 10.5064/f6j4josg/m5jas2
title: McIntosh_Transcript_PAT1124.pdf
DOI: 10.5064/f6j4josg/g69rwi
title: McIntosh_Transcript_CIO21065.pdf
DOI: 10.5064/f6j4josg/2qtecw
title: McIntosh_Transcript_CLN53072.pdf
DOI: 10.5064/f6j4josg/0naiy5
title: McIntosh_Survey Data_CLN.tab
DOI: 10.15468/dl.q89x9v
title: Occurrence Download

description: A dataset containing 7628091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Morone saxatilis, Oncorhynchus kisutch, Oncorhynchus kisutch, Glyptocephalus cynoglossus, Micropterus salmoides, Amblyraja radiata, Coregonus albula, Coregonus albula, Microstomus kitt, Pollachius virens, Pollachius virens, Sprattus fuegensis, Micromesistius poutassou, Micromesistius poutassou, Leiostomus xanthurus, Prochilodus magdalenae, Coryphaena hippurus, Microstomus pacificus, Microstomus pacificus, Thaleichthys pacificus, Thaleichthys pacificus, Trisopterus esmarkii, Micropogonias undulatus, Thalassoma bifasciatum, Urophycis tenuis, Lepidorhombus whiffiagonis, Lepidorhombus whiffiagonis, Hydrolagus colliei, Genypterus blacodes, Genypterus blacodes, Carcharhinus leucas, Scarus iseri, Scomber japonicus, Scomber japonicus, Sparisoma aurofrenatum, Pagrus auratus, Gadus chalcogrammus, Gadus chalcogrammus, Oreochromis niloticus, Argentina sphyraena, Alosa pseudoharengus, Sebastes alutus, Eugerres plumieri, Lepidopsetta bilineata, Lepidopsetta bilineata, Chelidonichthys cuculus, Chelidonichthys cuculus, Stegastes partitus, Pseudopleuronectes americanus, Perca flavescens, Raja clavata, Raja clavata, Lepidorhombus boscii, Lepidorhombus boscii, Trisopterus luscus, Oncorhynchus keta, Urophycis chuss, Acanthurus coeruleus, Anchovia clupeoides, Gadus macrocephalus, Gadus macrocephalus, Ocyurus chrysurus, Salvelinus fontinalis, Salvelinus fontinalis, Arnoglossus laterna, Leucoraja ocellata, Sebastes mystinus, Acanthurus bahianus, Acanthurus bahianus, Thunnus obesus, Oligoplites saurus, Hippoglossoides elassodon, Helicolenus dactylopterus, Helicolenus dactylopterus, Pomoxis nigromaculatus, Halichoeres bivittatus, Thymallus thymallus, Micropogonias furnieri, Micropogonias furnieri, Halichoeres garnoti, Lagodon rhomboides, Prionace glauca, Prionace glauca, Haemulon plumierii, Chondrostoma nasus, Paralabrax clathratus, Sebastolobus alascanus, Mugil liza, Mugil liza, Mugil cephalus, Mugil cephalus, Hippoglossus hippoglossus, Hippoglossus hippoglossus, Sander vitreus, Leucoraja erinacea, Ictalurus punctatus, Platycephalus richardsoni, Microchirus variegatus, Catostomus commersonii, Megalops atlanticus, Sparisoma viride, Ariopsis felis, Anoplopoma fimbria, Anoplopoma fimbria, Reinhardtius hippoglossoides, Reinhardtius hippoglossoides, Hippoglossina macrops, Isurus oxyrinchus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7628091 records from 1707 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003179-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksynmz
title: Occurrence Download

description: A dataset containing 672758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((81.30583 29.81172,81.45138 30.19985,81.82981 30.30659,83.05243 29.50121,83.43871 29.04455,83.55701 29.09367,84.01307 29.12278,84.71171 28.25918,85.66912 27.96532,87.01216 27.65354,87.92351 27.34177,88.82593 27.20151,94.08602 28.68179,96.2582 29.70889,97.4348 30.3358,97.97785 31.65467,96.71074 33.40959,94.1111 35.97562,92.6049 36.34217,88.19098 36.87976,85.36154 36.85147,80.9205 36.86298,78.78602 33.57732,79.75412 30.26081,80.96621 30.08341,81.30583 29.81172))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 672758 records from 603 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001104-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15741861
title: S0 | SUSDAT | Merged NORMAN Suspect List: SusDat

description: A merged list of >100,000 structures from the NORMAN Network Suspect List Exchange, available from https://www.norman-network.com/nds/susdat/. Compiled by Reza Aalizadeh, University of Athens, including RTI and toxicity values, support by Nikiforos Alygizakis, EI. Hazard and Exposure values provided by Stellan Fischer, KEMI. Dataset DOI:10.5281/zenodo.2664077.

For an explanation of column headers, please see metadata files (xlsx and csv). For curation notes, see "SusDat_curation_notes.txt". 
description: This is a massive collaborative effort with many contributions! This dataset merges other entries in this collection.
DOI: 10.5281/zenodo.2664077
title: S0 | SUSDAT | Merged NORMAN Suspect List: SusDat

description: A merged list of >100,000 structures from the NORMAN Network Suspect List Exchange, available from https://www.norman-network.com/nds/susdat/. Compiled by Reza Aalizadeh, University of Athens, including RTI and toxicity values, support by Nikiforos Alygizakis, EI. Hazard and Exposure values provided by Stellan Fischer, KEMI. Dataset DOI:10.5281/zenodo.2664077.

For an explanation of column headers, please see metadata files (xlsx and csv). For curation notes, see "SusDat_curation_notes.txt". 
description: This is a massive collaborative effort with many contributions! This dataset merges other entries in this collection.
DOI: 10.34740/kaggle/dsv/13832203
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.am6yy7
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves de México I"
 ]
}

 The dataset includes 908 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003627-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7u6ag
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhopilema nomadica"
 ]
}

 The dataset's 2 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003625-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gh73f
title: Occurrence Download

description: A dataset containing 3514073208 species occurrences available in GBIF matching the query:
{
 "HasCoordinate" : [
 "is true"
 ]
}

 The dataset includes 3514073208 records from 73354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003597-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6a4xf
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.41783 43.60387,3.42481 43.58294,3.49597 43.42946,3.57271 43.28295,3.84897 43.36249,4.08338 43.52852,4.02338 43.66945,3.86711 43.82014,3.73874 43.8299,3.52945 43.77967,3.45271 43.68479,3.41783 43.60387))",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliptamus italicus"
 ]
}

 The dataset includes 210 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003628-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yptexu
title: Occurrence Download

description: A dataset containing 66601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus sylvestris"
 ]
}

 The dataset includes 66601 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003626-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5cw6m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psilocybe subhyperella"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003629-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.34110.96327
title: Increasing Access to End-of-Life and Ending-Life Care
DOI: 10.34740/kaggle/dsv/13832280
title: Market Prices of Commodities in South Tangerang
DOI: 10.15468/dl.g8mdab
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The University and Jepson Herbaria -- Vascular Plants",
 "TaxonKey is Collinsia sparsiflora"
 ]
}

 The dataset includes 381 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003630-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5871663
title: S2 | STOFFIDENT | HSWT/LfU STOFF-IDENT Database of Water-Relevant Substances

description: The STOFF-IDENT database enables the search for exact masses from target or unknown lists and the automatic use of a Retention Time Index. See https://water.for-ident.org/#!home (single search for free; batch search after free registration). Dataset DOI: 10.5281/zenodo.2621451

Nov 17 2019 update: added CSV for PubChem upload.Jun 18, 2020 update: fixed synonym for CAS=1245526-82-2 after feedback from PubChem (Jeff).Jan 18, 2022 update: added IUPAC name instead of anakinra & deleted incorrect CAS (reported by Leon)
DOI: 10.5281/zenodo.2621451
title: S2 | STOFFIDENT | HSWT/LfU STOFF-IDENT Database of Water-Relevant Substances

description: The STOFF-IDENT database enables the search for exact masses from target or unknown lists and the automatic use of a Retention Time Index. See https://water.for-ident.org/#!home (single search for free; batch search after free registration). Dataset DOI: 10.5281/zenodo.2621451

Nov 17 2019 update: added CSV for PubChem upload.Jun 18, 2020 update: fixed synonym for CAS=1245526-82-2 after feedback from PubChem (Jeff).Jan 18, 2022 update: added IUPAC name instead of anakinra & deleted incorrect CAS (reported by Leon)
DOI: 10.5281/zenodo.17683856
title: Hydrogen Holographic Science and Intelligence

description: Hydrogen Holographic Science & Intelligence Repository

This repository serves as the central hub for the Hydrogen Holographic Expedition, providing open access to datasets, simulation code, analysis pipelines, and research outputs focused on hydrogen holography and fractal intelligence. It enables researchers, educators, and enthusiasts to explore quantum-scale holographic phenomena, investigate fractal phase structures in atomic and collider data, and reproduce or extend experiments using publicly available resources.

Contributions include:



Experimental and simulated datasets from atomic and high-energy physics contexts (e.g., ATLAS and CMS 13 TeV open data).

Python analysis pipelines for computing rotational skew, fractal substructure, and phase coherence metrics.

Visualizations and illustrative results demonstrating holographic and fractal patterns in energy flows and angular distributions.

Documentation for reproducible research, supporting both teaching and advanced exploratory studies.


By centralizing these resources, the repository accelerates cross-disciplinary collaboration between quantum physics, holographic modeling, and fractal intelligence, providing the foundation for future experimental and computational investigations in hydrogen holography.
DOI: 10.34740/kaggle/dsv/13832289
title: Booru.org Top Leaderboard