cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16942097
title: BoTox-Dataset for Classifying German Hate Speech Comments with Criminal Relevance

description: This repository contains the BoTox dataset, a German dataset for analyzing offensive language and conversations in the context of criminal relevance under the German Criminal Code (StGB). It was created as part of the BoTox research project (https://botox.h-da.de/) in 2025, which aimed to investigate hate speech in a criminal law context and to detect hate speech bots.

Content



public dataset with comment texts as csv

annotation guidelines (original German version)


About the Dataset

This is a German dataset on offensive language, annotated according to three predefined classes, each with several paragraphs from German criminal law. In total, the dataset contains 1,190 annotated comments from various sources. The data was compiled in 2025 and annotated by three teams of annotators after intensive training by the Frankfurt am Main Public Prosecutor's Office. The dataset contains annotations according to inter-annotator agreement. Further details can be found in the accompanying paper.

Description of the columns

 




Column Name
Description


index
rolling index


text
comment text


class_1
binary annotation


class_2
binary annotation


class_3
binary annotation


class_0
binary annotation


output
textual annotation




Citation

If you use the dataset, please cite our respective paper A Novel Dataset for Classifying German Hate Speech Comments with Criminal Relevance", which was presented on the on the 9th Workshop on Online Abuse and Harms (WOAH) at August 1, 2025 as part of the ACL conference.

ACL-Style:Vincent Kums, Florian Meyer, Luisa Pivit, Uliana Vedenina, Jonas Wortmann, Melanie Siegel and Dirk Labudde



A Novel Dataset for Classifying German Hate Speech Comments with Criminal Relevance. In Proceedings of the 9th Workshop on Online Abuse and Harms (WOAH), pages 41-52, Vienna, Austria. Association for Computational Linguistics.


BibTeX:

@inproceedings{kums-etal-2025-novel,
    title = "A Novel Dataset for Classifying {G}erman Hate Speech Comments with Criminal Relevance",
    author = "Kums, Vincent  and
      Meyer, Florian  and
      Pivit, Luisa  and
      Vedenina, Uliana  and
      Wortmann, Jonas  and
      Siegel, Melanie  and
      Labudde, Dirk",
    editor = "Calabrese, Agostina  and
      de Kock, Christine  and
      Nozza, Debora  and
      Plaza-del-Arco, Flor Miriam  and
      Talat, Zeerak  and
      Vargas, Francielle",
    booktitle = "Proceedings of the The 9th Workshop on Online Abuse and Harms (WOAH)",
    month = aug,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.woah-1.4/",
    pages = "41--52",
    ISBN = "979-8-89176-105-6"
}
DOI: 10.15468/dl.cyy69n
title: Occurrence Download

description: A dataset containing 1223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis anemagrostoides, Agrostis canina, Agrostis pallida, Agrostis perezii, Agrostis salmantica, Agrostis scabrescens, Avena airoides, Avena airoides, Avena pourretii, Bromidium pourretii, Neoschischkinia pourretii, Trichodium calmanticum, Trichodium effusum, Trichodium effusum, Trichodium salmanticum, Trisetum pourretii, Agrostis clavata, Agrostis abakanensis, Agrostis abakanensis, Agrostis bottnica, Agrostis clavata aprica, Agrostis clavata flaccida, Agrostis clavata robustior, Agrostis clavata umbrosa, Agrostis clavata aprica, Agrostis clavata clavata, Agrostis clavata flaccida, Agrostis clavata macilenta, Agrostis clavata matsumurae, Agrostis clavata nukabo, Agrostis clavata putoranica, Agrostis clavata robustior, Agrostis clavata szechuanica, Agrostis clavata szechuanica, Agrostis clavata trinii, Agrostis clavata umbrosa, Agrostis clavata macilenta, Agrostis clavata nukabo, Agrostis clavata putoranica, Agrostis clavata szechuanica, Agrostis clavata szechuanica, Agrostis exarata clavata, Agrostis exarata nukabo, Agrostis exarata nukabo, Agrostis formosana, Agrostis macilenta, Agrostis macrothyrsa, Agrostis matsumurae, Agrostis matsumurae, Agrostis perarta)",
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 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1223 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004893-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwmxja
title: Occurrence Download

description: A dataset containing 2967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ateles paniscus"
 ]
}

 The dataset includes 2967 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004894-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64jzww
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abactochromis labrosus, Acanthocleithron chapini, Acanthopagrus berda, Acapoeta tanganicae, Acentrogobius audax, Acentrogobius nebulosus, Acentrogobius therezieni, Acipenser sturio, Afronandus sheljuzhkoi, Afronemacheilus abyssinicus, Agonostomus catalai, Agonostomus telfairii, Alburnus alburnus, Alcolapia alcalica, Alcolapia grahami, Alcolapia latilabris, Alcolapia ndalalani, Alestes ansorgii, Alestes baremoze, Alestes bouboni, Brycinus nurse, Alestes dentex, Alestes liebrechtsii, Alestes macrophthalmus, Alestes stuhlmannii, Alestopetersius bifasciatus, Alestopetersius brichardi, Alestopetersius caudalis, Alestopetersius compressus, Alestopetersius hilgendorfi, Alestopetersius leopoldianus, Alestopetersius nigropterus, Alestopetersius smykalai, Alestopetersius tumbensis, Allenbatrachus meridionalis, Alosa agone, Alosa algeriensis, Alosa alosa, Alosa fallax, Alticorpus geoffreyi, Alticorpus macrocleithrum, Alticorpus mentale, Alticorpus peterdaviesi, Alticorpus profundicola, Altolamprologus calvus, Altolamprologus compressiceps, Neolamprologus fasciatus, Amarginops platus, Ambassis ambassis, Ambassis dussumieri, Ambassis fontoynonti, Ambassis gymnocephalus, Ambassis natalensis, Ambassis urotaenia, Amphilius atesuensis, Amphilius athiensis, Amphilius brevis, Amphilius caudosignatus, Amphilius cryptobullatus, Amphilius dimonikensis, Amphilius grandis, Amphilius jacksonii, Amphilius kakrimensis, Amphilius korupi, Amphilius lamani, Amphilius lampei, Amphilius laticaudatus, Amphilius lentiginosus, Amphilius longirostris, Amphilius lujani, Amphilius maesii, Amphilius mamonekenensis, Amphilius natalensis, Amphilius opisthophthalmus, Amphilius platychir, Amphilius pulcher, Amphilius rheophilus, Amphilius uranoscopus, Amphilius zairensis, Anaecypris punica, Pseudophoxinus punicus, Ancharius fuscus, Ancharius griseus, Andersonia leptura, Anguilla anguilla, Anguilla bengalensis, Anguilla bicolor, Anguilla marmorata, Anguilla mossambica, Anomalochromis thomasi, Aphanius apodus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((6.524 -0.514,7.0065 -0.2456,7.2624 0.2943,7.123 0.7051,6.6607 0.9135,6.1391 0.6726,5.9617 0.2289,6.1206 -0.3209,6.524 -0.514))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004895-250827131500795/datasets/export for details.
DOI: 10.15468/dl.eusu86
title: Occurrence Download

description: A dataset containing 2022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Triticum dicoccum levimurciense, Triticum dicoccum ramosolencurum, Triticum dicoccum ramosoprovinciale, Triticum dicoccum ramosoreichenbachii, Triticum dicoccum suberythromelan, Triticum durum turgidum, Triticum palaecocolchicum, Triticum polonicum abessinicum, Triticum polonicum compactum, Triticum polonicum turgidum, Triticum sativum turgidum, Triticum sativum dicoccon, Triticum sativum turgidum, Triticum sativum turgidum, Triticum spelta dicoccon, Triticum tenax turgidum, Triticum turgidum polonicum, Triticum turgidum compositum, Triticum turgidum turgidum, Triticum vulgare turgidum, Triticum vulgare dicoccon, Triticum vulgare fuchsiae, Triticum vulgare turgidum, Triticum vulgare turgidum, Triticum monococcum, ? baeoticum, Crithodium monococcum, Nivieria monococca, Triticum aegilopoides baeoticum, Triticum aestivum monococcum, Triticum boeoticum ebrahimzadehii, Triticum boeoticum helenae, Triticum monococcum baeoticum, Triticum monococcum cereale, Triticum monococcum thaoudar, Triticum monococcum baeoticum, Triticum monococcum helenae, Triticum monococcum larinovii, Triticum monococcum vulgare, Triticum sativum monococcum, Triticum sativum monococcum, Triticum sativum monococcum, Triticum spontaneum thaouar, Triticum tenax, Triticum thaoudar, Triticum thaoudar, Triticum thaoudar, Triticum thaoudar, Triticum thaoudar, Trisetum alpestre)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
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 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2022 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004896-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18434/mds2-3916
title: Trojan Detection Software Challenge - cyber-git-dec2024-test
DOI: 10.15468/dl.xmuj9d
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sericanthe jacfelicis"
 ]
}

 The dataset includes 111 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004897-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sngv5n
title: Occurrence Download

description: A dataset containing 2967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ateles paniscus"
 ]
}

 The dataset includes 2967 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004898-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjfp8q
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megabalanus rosa",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004899-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29925533
title: <b>Multimodal Machine Learning Approach for Diagnosing Atopic Dermatitis</b>

description: This research is part of our multi phase research for doctoral study program. This study presents a novel multimodal deep learning model that combines clinical image analysis with structured anamnesis using a late-fusion architecture. ResNet50 was employed for image-based feature extraction, while MPNet was used to process textual clinical data. Trained and validated across multiple centers, the model achieved an internal validation accuracy of 98.28%, significantly outperforming single-modality models and standard diagnostic baselines. Our approach not only enhances diagnostic accuracy for atopic dermatitis but also highlights the translational potential of multimodal AI to support clinical decision-making in dermatology. It would be an honor for this research to be published in a Scopus-indexed journal, and we offer it as our contribution to promoting aviation safety.
DOI: 10.6084/m9.figshare.29925533.v4
title: <b>Multimodal Machine Learning Approach for Diagnosing Atopic Dermatitis</b>

description: This research is part of our multi phase research for doctoral study program. This study presents a novel multimodal deep learning model that combines clinical image analysis with structured anamnesis using a late-fusion architecture. ResNet50 was employed for image-based feature extraction, while MPNet was used to process textual clinical data. Trained and validated across multiple centers, the model achieved an internal validation accuracy of 98.28%, significantly outperforming single-modality models and standard diagnostic baselines. Our approach not only enhances diagnostic accuracy for atopic dermatitis but also highlights the translational potential of multimodal AI to support clinical decision-making in dermatology. It would be an honor for this research to be published in a Scopus-indexed journal, and we offer it as our contribution to promoting aviation safety.
DOI: 10.6084/m9.figshare.29925533.v3
title: <b>Multimodal Machine Learning Approach for Diagnosing Atopic Dermatitis</b>

description: This research is part of our multi phase research for doctoral study program. This study presents a novel multimodal deep learning model that combines clinical image analysis with structured anamnesis using a late-fusion architecture. ResNet50 was employed for image-based feature extraction, while MPNet was used to process textual clinical data. Trained and validated across multiple centers, the model achieved an internal validation accuracy of 98.28%, significantly outperforming single-modality models and standard diagnostic baselines. Our approach not only enhances diagnostic accuracy for atopic dermatitis but also highlights the translational potential of multimodal AI to support clinical decision-making in dermatology. It would be an honor for this research to be published in a Scopus-indexed journal, and we offer it as our contribution to promoting aviation safety.
DOI: 10.5284/1090456
title: Site Data from Historic Building Recording at Drayton Lodge Farm, Staverton Road, Daventry, Northamptonshire 2021

description: This collection comprises site images and digitised survey drawings from historic building recording at Drayton Lodge Farm undertaken by Ric Tyler in September 2021. The programme of pre-demolition building recording was undertaken as a condition of planning consent for the large-scale redevelopment of the wider farmstead site. Three principal structures of early date and heritage interest survive; the main farmhouse, a two-storey outbuilding and a former shelter shed. The remaining traditional farm buildings, evident from historical mapping, had been largely replaced by 20th-century utilitarian structures of no heritage interest.
DOI: 10.15468/dl.rmhqga
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tatia galaxias)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 51 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004900-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n45gn5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.35638 43.89994,10.3152 43.9408,10.28741 43.93916,10.21125 43.90059,10.23871 43.85287,10.26682 43.77704,10.31683 43.74239,10.34233 43.75219,10.36946 43.78063,10.39201 43.77181,10.4211 43.78063,10.41653 43.80253,10.35638 43.89994))",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyprinus carpio",
 "Year 2014-2025"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004902-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxehtz
title: Occurrence Download

description: A dataset containing 2381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis szechuanica, Agrostis szechuanica, Agrostis teberdensis, Agrostis tenuiflora, Agrostis wulingensis, Trichodium clavatum, Agrostis alba, Lolium elongatum, Brachypodium loliaceum, Brachypodium loliaceum, Bucetum loliaceum, Festuca fluitans loliacea, Festuca pratensis loliacea, Festuca pratensis loliacea, Festuca ascendens, Festuca braunii, Festuca elongata, Festuca fluitans, Festuca fluitans, Festuca loliacea, Festuca loliacea aristata, Festuca loliacea aristata, Festuca loliacea minor, Glyceria fluitans loliacea, Glyceria loliacea, Lolium perenne festuciforme, Lolium perenne festuciformis, Lolium elongatum aristatum, Lolium elongatum pseudoglyceria, Lolium festucaceum, Lolium festucoides, Poa loliacea, Schedonorus loliaceus, Schedonorus loliaceus compositus, Festulolium braunii, Festulolium loliaceum, Festulolium loliaceum, Schedolium braunii, Schedolium loliaceum, Schedololium braunii, Schedololium loliaceum, Lolium apenninum, Festuca apennina, Festuca apennina, Festuca apennina pubescens, Festuca elatior apennina, Festuca elatior apennina, Festuca elatior alpina, Festuca elatior apennina, Festuca elatior macrostachya)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2381 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004901-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ru4jef
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abactochromis labrosus, Acanthocleithron chapini, Acanthopagrus berda, Acapoeta tanganicae, Acentrogobius audax, Acentrogobius nebulosus, Acentrogobius therezieni, Acipenser sturio, Afronandus sheljuzhkoi, Afronemacheilus abyssinicus, Agonostomus catalai, Agonostomus telfairii, Alburnus alburnus, Alcolapia alcalica, Alcolapia grahami, Alcolapia latilabris, Alcolapia ndalalani, Alestes ansorgii, Alestes baremoze, Alestes bouboni, Brycinus nurse, Alestes dentex, Alestes liebrechtsii, Alestes macrophthalmus, Alestes stuhlmannii, Alestopetersius bifasciatus, Alestopetersius brichardi, Alestopetersius caudalis, Alestopetersius compressus, Alestopetersius hilgendorfi, Alestopetersius leopoldianus, Alestopetersius nigropterus, Alestopetersius smykalai, Alestopetersius tumbensis, Allenbatrachus meridionalis, Alosa agone, Alosa algeriensis, Alosa alosa, Alosa fallax, Alticorpus geoffreyi, Alticorpus macrocleithrum, Alticorpus mentale, Alticorpus peterdaviesi, Alticorpus profundicola, Altolamprologus calvus, Altolamprologus compressiceps, Neolamprologus fasciatus, Amarginops platus, Ambassis ambassis, Ambassis dussumieri, Ambassis fontoynonti, Ambassis gymnocephalus, Ambassis natalensis, Ambassis urotaenia, Amphilius atesuensis, Amphilius athiensis, Amphilius brevis, Amphilius caudosignatus, Amphilius cryptobullatus, Amphilius dimonikensis, Amphilius grandis, Amphilius jacksonii, Amphilius kakrimensis, Amphilius korupi, Amphilius lamani, Amphilius lampei, Amphilius laticaudatus, Amphilius lentiginosus, Amphilius longirostris, Amphilius lujani, Amphilius maesii, Amphilius mamonekenensis, Amphilius natalensis, Amphilius opisthophthalmus, Amphilius platychir, Amphilius pulcher, Amphilius rheophilus, Amphilius uranoscopus, Amphilius zairensis, Anaecypris punica, Pseudophoxinus punicus, Ancharius fuscus, Ancharius griseus, Andersonia leptura, Anguilla anguilla, Anguilla bengalensis, Anguilla bicolor, Anguilla marmorata, Anguilla mossambica, Anomalochromis thomasi, Aphanius apodus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((10.0615 -3.4463,10.1382 -3.5292,10.1382 2.0599,9.2753 2.0599,9.2723 2.0399,8.8555 1.2955,8.8103 -0.1351,8.354 -0.2687,8.2157 -0.7924,8.7426 -1.8029,8.6574 -2.0749,8.8035 -2.4281,9.149 -2.574,10.0615 -3.4463))"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004903-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wdtf6
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.35638 43.89994,10.3152 43.9408,10.28741 43.93916,10.21125 43.90059,10.23871 43.85287,10.26682 43.77704,10.31683 43.74239,10.34233 43.75219,10.36946 43.78063,10.39201 43.77181,10.4211 43.78063,10.41653 43.80253,10.35638 43.89994))",
 "OccurrenceStatus is Present",
 "TaxonKey is Halyomorpha halys",
 "Year 2014-2025"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004905-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tvrp3
title: Occurrence Download

description: A dataset containing 4322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dodonaea"
 ]
}

 The dataset includes 4322 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004906-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfg4jz
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megabalanus tintinnabulum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 197 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004907-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4aj4gr
title: Occurrence Download

description: A dataset containing 1224042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-43.821 -21.182,-39.689 -21.182,-39.689 -17.759,-43.821 -17.759,-43.821 -21.182))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1224042 records from 919 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004860-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.