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

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.286 -9.863955000000001, 150.214689 -9.869512, 150.145126 -9.886049, 150.079018 -9.91316, 150.017989 -9.950179, 149.963536 -9.996198, 149.917 -10.050087, 149.879528 -10.110523, 149.852044 -10.176021, 149.835232 -10.244972, 149.829512 -10.315678, 149.835031 -10.386399, 149.851662 -10.455394, 149.879001 -10.520962, 149.916381 -10.581487, 149.962885 -10.635474, 150.017369 -10.68159, 150.078491 -10.718697, 150.144743 -10.745878, 150.214487 -10.76246, 150.286 -10.768033, 150.357513 -10.76246, 150.427257 -10.745878, 150.493509 -10.718697, 150.554631 -10.68159, 150.609115 -10.635474, 150.655619 -10.581487, 150.692999 -10.520962, 150.720338 -10.455394, 150.736969 -10.386399, 150.742488 -10.315678, 150.736768 -10.244972, 150.719956 -10.176021, 150.692472 -10.110523, 150.655 -10.050087, 150.608464 -9.996198, 150.554011 -9.950179, 150.492982 -9.91316, 150.426874 -9.886049, 150.357311 -9.869512, 150.286 -9.863955000000001))"},{"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 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049375-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/t9l4j5
title: PAN-00150545 - plate (terra sigillata)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00150545&lt;/p&gt;
description: Modified: 2025-06-12T11:37:52+02:00
DOI: 10.15468/dl.x4k5nm
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kerivoula depressa, Kerivoula dongduongana, Kerivoula furva, Kerivoula hardwickii, Kerivoula intermedia, Kerivoula kachinensis, Kerivoula krauensis, Kerivoula lenis, Kerivoula minuta, Kerivoula papillosa, Kerivoula pellucida, Kerivoula picta, Kerivoula titania, Kerivoula whiteheadi, Laonastes aenigmamus, Lariscus insignis, Lasiopodomys mandarinus, Latidens salimalii, Lenothrix canus, Leopoldamys ciliatus, Leopoldamys edwardsi, Leopoldamys milleti, Leopoldamys neilli, Leopoldamys sabanus, Lepus comus, Lepus nigricollis, Lepus oiostolus, Lepus peguensis, Lepus sinensis, Lepus tolai, Loris lydekkerianus, Lynx lynx, Lyroderma lyra, Macaca arctoides, Macaca assamensis, Macaca fascicularis, Macaca leonina, Macaca leucogenys, Macaca mulatta, Macaca nemestrina, Macaca radiata, Macaca silenus, Macaca thibetana, Macroglossus minimus, Macroglossus sobrinus, Madromys blanfordi, Manis crassicaudata, Manis javanica, Manis pentadactyla, Marmota himalayana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 1088 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049377-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17911985
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.
DOI: 10.15468/dl.x58x4g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((147.707 -8.402917, 147.635979 -8.408477, 147.5667 -8.425018, 147.500864 -8.452135999999999, 147.440088 -8.489164000000001, 147.385866 -8.535194000000001, 147.339531 -8.589095, 147.302225 -8.649543, 147.27487 -8.715052, 147.258142 -8.784011, 147.252461 -8.854723999999999, 147.257971 -8.92545, 147.274543 -8.994448, 147.301776 -9.060017, 147.339003 -9.12054, 147.385311 -9.174524, 147.439561 -9.220637999999999, 147.500415 -9.257740999999999, 147.566374 -9.284919, 147.635807 -9.301499, 147.707 -9.307072, 147.778193 -9.301499, 147.847626 -9.284919, 147.913585 -9.257740999999999, 147.974439 -9.220637999999999, 148.028689 -9.174524, 148.074997 -9.12054, 148.112224 -9.060017, 148.139457 -8.994448, 148.156029 -8.92545, 148.161539 -8.854723999999999, 148.155858 -8.784011, 148.13913 -8.715052, 148.111775 -8.649543, 148.074469 -8.589095, 148.028134 -8.535194000000001, 147.973912 -8.489164000000001, 147.913136 -8.452135999999999, 147.8473 -8.425018, 147.778021 -8.408477, 147.707 -8.402917))"},{"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/0049379-251120083545085/datasets/export for details.
DOI: 10.15468/dl.zezuz9
title: Occurrence Download

description: A dataset containing 4336091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "IucnRedListCategory is LC",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4336091 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049362-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzxya6
title: Occurrence Download

description: A dataset containing 5451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-114.390593 53.548051, -114.466758 53.592500, -114.529268 53.592500, -114.453062 53.548051, -114.390593 53.548051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5451 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049381-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17911033
title: Dataset for amsj0/mfs_ultrasound_mum: MFS Ultrasound Manifold (MUM)

description: For running using MUM

mum --train '\path-to\mum_train_1_interface.h5' --test '\path-to\mum_train_1_interface.h5' --train-group N_compound_maxenv --test-group N_compound_maxenv --matrix-dataset N_compound_maxenv --sample-axis -1 --embed umap --umap-n-neighbors 10 --umap-metric manhattan --reg lwr_umap --color-by H_val
DOI: 10.5281/zenodo.17911034
title: Dataset for amsj0/mfs_ultrasound_mum: MFS Ultrasound Manifold (MUM)

description: For running using MUM

mum --train '\path-to\mum_train_1_interface.h5' --test '\path-to\mum_train_1_interface.h5' --train-group N_compound_maxenv --test-group N_compound_maxenv --matrix-dataset N_compound_maxenv --sample-axis -1 --embed umap --umap-n-neighbors 10 --umap-metric manhattan --reg lwr_umap --color-by H_val
DOI: 10.5281/zenodo.17911791
title: Species detections from camera traps, waterhole features, and pathogen eDNA detection in Doñana National Park

description: MetadataCTWaterhole: Camera-trap metadata and species detections at waterholes in a Mediterranean multi-host community

WaterholeInformation: Waterhole environmental variables, features, and eDNA pathogen detection by using sponges in Doñana National Park.

These datasets contain camera-trap metadata with species detections at waterholes, together with their environmental variables, intrinsic features, and pathogen detection results (environmental DNA).
DOI: 10.5281/zenodo.17911792
title: Species detections from camera traps, waterhole features, and pathogen eDNA detection in Doñana National Park

description: MetadataCTWaterhole: Camera-trap metadata and species detections at waterholes in a Mediterranean multi-host community

WaterholeInformation: Waterhole environmental variables, features, and eDNA pathogen detection by using sponges in Doñana National Park.

These datasets contain camera-trap metadata with species detections at waterholes, together with their environmental variables, intrinsic features, and pathogen detection results (environmental DNA).
DOI: 10.5281/zenodo.17911846
title: Semantic change detection datasets for Slovenian 1.0

description: This dataset is meant for evaluation of systems for semantic change detection in Slovenian.The entry contains the following files:

1) "gigafida_to_1997_vs_2018.tsv" - contains sources from the Gigafida 2.0 reference corpus (http://www.gigafida.net/), dating either from year 1997 (or earlier) or year 2018. The corpus, which can be used for training, domain adaptation or word representation extraction is in a .tsv format with 4 columns:- 'title': Title of the text- 'publisher': Text's publisher name- 'date': Year of the text's publishing- 'type': Text's type (e.g., whether text was scraped from the internet or it appeared in print)- 'text': Text in non-processed form

2) "word_usage_annotations_1997_2018.tsv" - contains example word usages for 105 predefined words. For each word, we extract from the Gigafida 2.0 corpus 30 usage examples (sentences) from year 1997 and 30 usage examples from year 2018. The sentences from both time periods are randomly matched (e.g. each pair contains a random sentence from 1997 and a random sentence from 2018, both containing the same target word), resulting in 3150 sentence pairs. These pairs were annotated by three human annotators on a scale from 1 to 4:1: usages in the sentences are unrelated2: usages in the sentences are distantly related3: usages in the sentences are closely related4: usages are identical, i.e. they have the same sense

Label 0 was also allowed, meaning "I can't decide", e.g. due to insufficient context.

The file in the .tsv format contains the following columns:- 'id': id of the sentence pair- 'word': target word- 'sentence 1997': sentence from year 1997- 'sentence 2018': sentence from year 2018- 'score_anno1': score given by annotator 1- 'score_anno2': score given by annotator 2- 'score_anno3': score given by annotator 3

3) "semantic_shift_scores.tsv": contains final "gold standard" scores for each word, obtained by averaging scores across sentence pairs and across all three annotators in order to obtain a single numerical value for each word in the list. The examples containing zeros were excluded and the word 'zenit' was excluded from the list due to too many sentence pairs containing zeros.

The file in the .tsv format contains the following columns:- 'word': target word- 'score': semantic change score

4) "RSDO_semanticni-premiki_navodila_v0.pdf": annotation guidelines (in Slovenian)
DOI: 10.5281/zenodo.17911845
title: Semantic change detection datasets for Slovenian 1.0

description: This dataset is meant for evaluation of systems for semantic change detection in Slovenian.The entry contains the following files:

1) "gigafida_to_1997_vs_2018.tsv" - contains sources from the Gigafida 2.0 reference corpus (http://www.gigafida.net/), dating either from year 1997 (or earlier) or year 2018. The corpus, which can be used for training, domain adaptation or word representation extraction is in a .tsv format with 4 columns:- 'title': Title of the text- 'publisher': Text's publisher name- 'date': Year of the text's publishing- 'type': Text's type (e.g., whether text was scraped from the internet or it appeared in print)- 'text': Text in non-processed form

2) "word_usage_annotations_1997_2018.tsv" - contains example word usages for 105 predefined words. For each word, we extract from the Gigafida 2.0 corpus 30 usage examples (sentences) from year 1997 and 30 usage examples from year 2018. The sentences from both time periods are randomly matched (e.g. each pair contains a random sentence from 1997 and a random sentence from 2018, both containing the same target word), resulting in 3150 sentence pairs. These pairs were annotated by three human annotators on a scale from 1 to 4:1: usages in the sentences are unrelated2: usages in the sentences are distantly related3: usages in the sentences are closely related4: usages are identical, i.e. they have the same sense

Label 0 was also allowed, meaning "I can't decide", e.g. due to insufficient context.

The file in the .tsv format contains the following columns:- 'id': id of the sentence pair- 'word': target word- 'sentence 1997': sentence from year 1997- 'sentence 2018': sentence from year 2018- 'score_anno1': score given by annotator 1- 'score_anno2': score given by annotator 2- 'score_anno3': score given by annotator 3

3) "semantic_shift_scores.tsv": contains final "gold standard" scores for each word, obtained by averaging scores across sentence pairs and across all three annotators in order to obtain a single numerical value for each word in the list. The examples containing zeros were excluded and the word 'zenit' was excluded from the list due to too many sentence pairs containing zeros.

The file in the .tsv format contains the following columns:- 'word': target word- 'score': semantic change score

4) "RSDO_semanticni-premiki_navodila_v0.pdf": annotation guidelines (in Slovenian)
DOI: 10.17026/ar/ggmfzp
title: PAN-00139962 - brooch Almgren 16

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00139962&lt;/p&gt;
description: Modified: 2025-07-25T11:48:29+02:00
DOI: 10.15468/dl.wb8wr2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((150.286 -9.863955000000001, 150.214689 -9.869512, 150.145126 -9.886049, 150.079018 -9.91316, 150.017989 -9.950179, 149.963536 -9.996198, 149.917 -10.050087, 149.879528 -10.110523, 149.852044 -10.176021, 149.835232 -10.244972, 149.829512 -10.315678, 149.835031 -10.386399, 149.851662 -10.455394, 149.879001 -10.520962, 149.916381 -10.581487, 149.962885 -10.635474, 150.017369 -10.68159, 150.078491 -10.718697, 150.144743 -10.745878, 150.214487 -10.76246, 150.286 -10.768033, 150.357513 -10.76246, 150.427257 -10.745878, 150.493509 -10.718697, 150.554631 -10.68159, 150.609115 -10.635474, 150.655619 -10.581487, 150.692999 -10.520962, 150.720338 -10.455394, 150.736969 -10.386399, 150.742488 -10.315678, 150.736768 -10.244972, 150.719956 -10.176021, 150.692472 -10.110523, 150.655 -10.050087, 150.608464 -9.996198, 150.554011 -9.950179, 150.492982 -9.91316, 150.426874 -9.886049, 150.357311 -9.869512, 150.286 -9.863955000000001))"},{"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 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049382-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5eu62v
title: Occurrence Download

description: A dataset containing 2803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-112.837867 53.366456, -112.916715 53.413419, -112.982688 53.413419, -112.903794 53.366456, -112.837867 53.366456))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2803 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049383-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vd4ce
title: Occurrence Download

description: A dataset containing 6410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Martes flavigula, Martes foina, Martes gwatkinsii, Maxomys inas, Maxomys moi, Maxomys rajah, Maxomys surifer, Maxomys tajuddinii, Maxomys whiteheadi, Megaderma spasma, Megaerops albicollis, Megaerops ecaudatus, Megaerops niphanae, Meles leucurus, Mellivora capensis, Melogale cucphuongensis, Melogale moschata, Melogale personata, Melursus ursinus, Menetes berdmorei, Meriones meridianus, Meriones unguiculatus, Mesechinus dauuricus, Mesechinus hughi, Micromys minutus, Millardia kathleenae, Millardia meltada, Miniopterus magnater, Miniopterus medius, Miniopterus pusillus, Mogera insularis, Mops, Mops mops, Moschus berezovskii, Moschus chrysogaster, Moschus fuscus, Moschus leucogaster, Muntiacus feae, Muntiacus gongshanensis, Muntiacus muntjak, Muntiacus puhoatensis, Muntiacus putaoensis, Muntiacus reevesi, Muntiacus rooseveltorum, Muntiacus truongsonensis, Muntiacus vaginalis, Muntiacus vuquangensis, Murina aenea, Murina annamitica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 6410 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049384-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byguyc
title: Occurrence Download

description: A dataset containing 4912568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cnidaria"
 ]
}

 The dataset includes 4912568 records from 2729 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049348-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yz7g85
title: Occurrence Download

description: A dataset containing 5515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is M. Andrew Johnston Research Collection"
 ]
}

 The dataset includes 5515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036427-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.91fmfq
title: Occurrence Download

description: A dataset containing 8074 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynomys ludovicianus (Ord, 1815)"
 ]
}

 The dataset includes 8074 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084616-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.924kfe
title: Occurrence Download

description: A dataset containing 12361 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neckera pennata Hedw."
 ]
}

 The dataset includes 12361 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003695-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snrpgp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-169.80469 52.05249,-138.86719 52.05249,-138.86719 73.02259,-169.80469 73.02259,-169.80469 52.05249))",
 "TaxonKey is Rosa woodsii Lindl."
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036432-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28epb3
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miconia rigidissima Urb. & Ekman"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176330-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7md938
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deyeuxia chrysostachya É.Desv."
 ]
}

 The dataset includes 144 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063386-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjpjn9
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glyptemys muhlenbergii (Schoepff, 1801)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 133 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084618-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wl3wn
title: Occurrence Download

description: A dataset containing 6084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6084 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036440-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxz0hb
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icterus wagleri P.L.Sclater, 1857",
 "Country is Mexico",
 "StateProvince is San Luis Potosi"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084619-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.