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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "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 ((37.8208 19.3058,37.7519 19.8496,35.9648 19.8496,35.9648 10.8496,44.9648 10.8496,44.9648 11.0757,44.5079 10.8984,44.021 11.3535,43.8449 12.4869,43.4392 13.1773,42.7805 13.6576,42.3014 14.2854,41.9925 14.3935,41.4722 15.0272,40.477 15.6908,40.2575 16.0951,39.9024 16.3482,38.9748 18.3342,37.8208 19.3058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010540-250525065834625/datasets/export for details.
DOI: 10.15468/dl.f5q8fg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "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 ((11.2741 -15.6621,11.2727 -16.1504,17.9648 -16.1504,17.9648 -7.1504,12.3365 -7.1504,12.3429 -7.1607,12.8524 -8.4392,12.5237 -8.8791,12.5024 -9.17,13.3428 -11.0863,13.2132 -11.9643,12.6132 -12.4537,12.0505 -13.2857,11.7929 -14.5817,11.546 -15.3352,11.2741 -15.6621))"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010518-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/19508509
title: Global ShakeMovie synthetic for November 04, 2021 MW 5.6 OFF W. COAST OF S. ISLAND, N.Z.
DOI: 10.17611/dp/19511736
title: Global ShakeMovie synthetic for November 06, 2021 MW 6.0 SOUTHERN MOLUCCA SEA
DOI: 10.17611/dp/19514184
title: Global ShakeMovie synthetic for November 06, 2021 MW 5.6 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/19514188
title: Global ShakeMovie synthetic for November 09, 2021 MW 5.9 OFF COAST OF COSTA RICA
DOI: 10.17611/dp/19514192
title: Global ShakeMovie synthetic for November 09, 2021 MW 6.4 OFF COAST OF COSTA RICA
DOI: 10.17611/dp/19516377
title: Global ShakeMovie synthetic for November 10, 2021 MW 6.6 SOUTHEAST OF RYUKYU ISLANDS
DOI: 10.17611/dp/19516381
title: Global ShakeMovie synthetic for November 10, 2021 MW 6.0 IRIAN JAYA REGION, INDONESIA
DOI: 10.17611/dp/19521569
title: Global ShakeMovie synthetic for November 13, 2021 MW 5.6 FIJI ISLANDS REGION
DOI: 10.17611/dp/19521573
title: Global ShakeMovie synthetic for November 13, 2021 MW 5.4 SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/19521577
title: Global ShakeMovie synthetic for November 14, 2021 MW 6.0 SOUTHERN IRAN
DOI: 10.17611/dp/19521581
title: Global ShakeMovie synthetic for November 14, 2021 MW 6.1 SOUTHERN IRAN
DOI: 10.17611/dp/19521585
title: Global ShakeMovie synthetic for November 15, 2021 MW 6.0 SOUTH INDIAN OCEAN
DOI: 10.17611/dp/19521589
title: Global ShakeMovie synthetic for November 15, 2021 MW 5.1 SOUTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/19522526
title: Global ShakeMovie synthetic for November 17, 2021 MW 5.6 SANTIAGO DEL ESTERO PROV., ARG.
DOI: 10.17611/dp/19523274
title: Global ShakeMovie synthetic for November 18, 2021 MW 6.5 NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/19523278
title: Global ShakeMovie synthetic for November 18, 2021 MW 5.6 NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/19523282
title: Global ShakeMovie synthetic for November 18, 2021 MW 5.9 NEAR COAST OF GUATEMALA
DOI: 10.17611/dp/19627346
title: Global ShakeMovie synthetic for November 19, 2021 MW 5.7 VANUATU ISLANDS
DOI: 10.17611/dp/19627350
title: Global ShakeMovie synthetic for November 20, 2021 MW 5.6 VANUATU ISLANDS
DOI: 10.17611/dp/19628281
title: Global ShakeMovie synthetic for November 21, 2021 MW 5.8 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/19629541
title: Global ShakeMovie synthetic for November 22, 2021 MW 5.1 NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/19629545
title: Global ShakeMovie synthetic for November 23, 2021 MW 5.5 OFF COAST OF CENTRAL AMERICA
DOI: 10.17611/dp/19630522
title: Global ShakeMovie synthetic for November 24, 2021 MW 5.6 FIJI ISLANDS REGION
DOI: 10.17611/dp/19631676
title: Global ShakeMovie synthetic for November 25, 2021 MW 6.3 SANTA CRUZ ISLANDS
DOI: 10.17611/dp/19631680
title: Global ShakeMovie synthetic for November 25, 2021 MW 6.2 MYANMAR-INDIA BORDER REGION
DOI: 10.17611/dp/19635990
title: Global ShakeMovie synthetic for November 26, 2021 MW 5.8 VANUATU ISLANDS REGION
DOI: 10.17611/dp/19635994
title: Global ShakeMovie synthetic for November 26, 2021 MW 5.6 BONIN ISLANDS, JAPAN REGION
DOI: 10.17611/dp/19642025
title: Global ShakeMovie synthetic for November 26, 2021 MW 5.6 SAMOA ISLANDS
DOI: 10.17611/dp/19642029
title: Global ShakeMovie synthetic for November 28, 2021 MW 7.5 NORTHERN PERU
DOI: 10.17611/dp/19644178
title: Global ShakeMovie synthetic for November 29, 2021 MW 6.3 SOUTHEAST OF HONSHU, JAPAN
DOI: 10.17611/dp/19644182
title: Global ShakeMovie synthetic for November 29, 2021 MW 5.5 SOUTH OF KERMADEC ISLANDS
DOI: 10.17611/dp/19644186
title: Global ShakeMovie synthetic for November 30, 2021 MW 5.4 SOUTHEAST OF HONSHU, JAPAN
DOI: 10.17611/dp/19644190
title: Global ShakeMovie synthetic for November 30, 2021 MW 6.4 NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/19644194
title: Global ShakeMovie synthetic for November 30, 2021 MW 5.8 NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/19646608
title: Global ShakeMovie synthetic for November 30, 2021 MW 5.6 XIZANG
DOI: 10.17611/dp/19653587
title: Global ShakeMovie synthetic for December 03, 2021 MW 6.1 EASTER ISLAND REGION
DOI: 10.17611/dp/19653591
title: Global ShakeMovie synthetic for December 03, 2021 MW 6.0 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/19653595
title: Global ShakeMovie synthetic for December 03, 2021 MW 5.5 TONGA ISLANDS REGION
DOI: 10.17611/dp/19662767
title: Global ShakeMovie synthetic for December 04, 2021 MW 5.7 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/19662771
title: Global ShakeMovie synthetic for December 04, 2021 MW 6.1 NORTH OF HALMAHERA, INDONESIA
DOI: 10.17611/dp/19662775
title: Global ShakeMovie synthetic for December 05, 2021 MW 5.7 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/19662779
title: Global ShakeMovie synthetic for December 06, 2021 MW 5.5 MID-INDIAN RIDGE
DOI: 10.17611/dp/19662783
title: Global ShakeMovie synthetic for December 06, 2021 MW 5.5 KERMADEC ISLANDS REGION
DOI: 10.15468/dl.yh8uay
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AEH8108"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025584-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgu37v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva parviflora",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025585-250811113504898/datasets/export for details.
DOI: 10.15468/dl.bj9pj7
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.85076 41.70047,8.85389 41.69399,8.85358 41.68877,8.86361 41.68595,8.87239 41.68616,8.88104 41.68793,8.88627 41.68804,8.89045 41.68772,8.89129 41.68856,8.89087 41.69128,8.89129 41.69452,8.89055 41.6988,8.88679 41.70131,8.87488 41.70173,8.86986 41.70016,8.86391 41.70183,8.86009 41.70507,8.85246 41.70382,8.85076 41.70047))",
 "TaxonKey is Plantae",
 "Year 2013-2026"
 ]
}

 The dataset includes 203 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001645-260129131611470/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.31205062
title: LibScan: An LLM-Based Tool for Smart Contract Library Misuse Identification

description: Smart contracts, as programs capable of complex operations, operate on the blockchain and are commonly coded in the Solidity language. Solidity, an object-oriented programming language, frequently incorporates a variety of libraries to boost the reusability of code and simplify the intricacies of smart contract development. However, this practice often gives rise to library misuse, where incorrect implementation or application of libraries can lead to flaws in the contract. At present, there is a lack of tools that can effectively detect and recognize patterns of library misuse within smart contracts. To fill this gap, we introduce LibScan, a tool powered by large language models (LLMs) to identify the vulnerabilities caused by library misuse. LibScan captures the distinctive features and qualities of each library misuse pattern and leverages a Generative Pre-training Transformer (GPT) to align contract code with these patterns, pinpointing instances of library misuse. It uses an iterative feedback mechanism to refine the LLM's accuracy, particularly for sophisticated contracts, and corroborates its findings with static analysis techniques. The tool's effectiveness is underscored by its performance metrics, which are notably high in both identifying true positives and minimizing false positives. We also explore the current limitations of the tool and propose avenues for future research to enhance its capabilities.
DOI: 10.6084/m9.figshare.31205062.v1
title: LibScan: An LLM-Based Tool for Smart Contract Library Misuse Identification

description: Smart contracts, as programs capable of complex operations, operate on the blockchain and are commonly coded in the Solidity language. Solidity, an object-oriented programming language, frequently incorporates a variety of libraries to boost the reusability of code and simplify the intricacies of smart contract development. However, this practice often gives rise to library misuse, where incorrect implementation or application of libraries can lead to flaws in the contract. At present, there is a lack of tools that can effectively detect and recognize patterns of library misuse within smart contracts. To fill this gap, we introduce LibScan, a tool powered by large language models (LLMs) to identify the vulnerabilities caused by library misuse. LibScan captures the distinctive features and qualities of each library misuse pattern and leverages a Generative Pre-training Transformer (GPT) to align contract code with these patterns, pinpointing instances of library misuse. It uses an iterative feedback mechanism to refine the LLM's accuracy, particularly for sophisticated contracts, and corroborates its findings with static analysis techniques. The tool's effectiveness is underscored by its performance metrics, which are notably high in both identifying true positives and minimizing false positives. We also explore the current limitations of the tool and propose avenues for future research to enhance its capabilities.
DOI: 10.15468/dl.srtcgp
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bistorta officinalis",
 "Year 1986-2026"
 ]
}

 The dataset includes 88 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001646-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ta3n58
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pachycladon radicatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 52 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001649-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7sk6s
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Marmota marmota",
 "Year 2016-2026"
 ]
}

 The dataset includes 478 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001647-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b4xdf
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Capra ibex",
 "Year 2016-2026"
 ]
}

 The dataset includes 189 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001650-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mmsd3
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "DatasetKey is one of (VectorNet data Luxembourg 2023-2024, Tick collection_OH ALLIES project_Ireland, OH_SURVector_Hungary_Mosquitoes, VectorNet observations, Investigating the Role of Stable Flies (Stomoxys calcitrans) and Biting Midges (Culicoides spp.) of the genus Culicoides as Potential Mechanical Vectors of African Swine Fever Virus in Lithuania, Poland and Romania, Vector collection_OH surveillance project_Sweden, Monitoring competent vectors of Crimea Congo Haemorragic Fever (ticks) , West Nile and Rift Valley Fever in Spain (mosquitos), OH4Surveillance vector collection in Latvia, OH4Surveillance vector collection in Latvia, One Health Surveillance (OH4S) Vector Collection in Poland - ticks collection, One Health Surveillance (OH4S) Vector Collection in Poland - mosquitoes collection, Mosquito data OH4surveillance Denmark 2024, Tick and moquito collection_OH SURVECTOR project_Slovakia, Vector collection_OH surveillance project Estonia, VectorCollection_SIVIZ_project_Portugal, National tick surveillance in Austria for the detection of tick-borne pathogens 2024 - Project OH SURVector, Results of Tick (Hyalomma and Ixodes ricinus) and Mosquito Surveillance in Croatia in 2024, National mosquito surveillance in Austria for the detection of mosquito-borne pathogens 2024 - Project OH SURVector, VectorDistributionStatus)"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aedes albopictus [GBIF Backbone Taxonomy])",
 "Country is one of (Moldova, Republic of)"
 ]
 }
 ]
}

 The dataset includes 103 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001652-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18428733
title: Changes in Subcellular Responses in the Digestive Gland of the Freshwater Mussel Unio crassus from a Historically Contaminated Environment

description: Utilizing a multi-biomarker approach, we assessed the potential adverse effects of pollutants on subcellular responses in the digestive gland of the freshwater mussel Unio crassus from a historically contaminated lowland section (KIZ) of the river Mrežnica compared to its less impacted upstream karstic section (REF) and their seasonality (spring vs. autumn). This approach accounted for the diverse modes of action of pollutants by including biomarkers of metal exposure (metallothioneins, MT), general stress (total cytosolic proteins, TP), antioxidative capacity (catalase, CAT; glutathione, GSH; glutathione-S-transferase, GST), oxidative damage (malondialdehyde, MDA), and neurotoxicity (acetylcholinesterase, AChE). Only in spring, MT concentrations were 15% higher at the REF site (4.38 ± 1.06 µg mg proteins−1) compared to the KIZ site (3.69 ± 0.63 µg mg proteins−1), likely related to elevated Cd bioaccumulation due to the karstic substrate. Regardless of the season, mussels from KIZ showed consistently lower TP and GSH, with significantly higher CAT, GST, and MDA levels, indicating elevated stress, activation of antioxidant defenses, and oxidative damage from chronic exposure to pro-oxidant pollutants, including metal(loid)s and organic contaminants (e.g., ibuprofen, nicotine). Compared to the REF site, AChE activity at the KIZ site was higher in late spring and lower in early autumn, indicating seasonal variability in AChE activity at the contamination-impacted location driven by fluctuating exposure to neurotoxicants, such as drugs and insecticides. Overall, biomarker responses indicated that mild historical pollution, reinforced by current low-capacity sources, has an observable impact on mussel health, posing long-term risks to sediment-dwelling aquatic organisms.
DOI: 10.5281/zenodo.18428734
title: Changes in Subcellular Responses in the Digestive Gland of the Freshwater Mussel Unio crassus from a Historically Contaminated Environment

description: Utilizing a multi-biomarker approach, we assessed the potential adverse effects of pollutants on subcellular responses in the digestive gland of the freshwater mussel Unio crassus from a historically contaminated lowland section (KIZ) of the river Mrežnica compared to its less impacted upstream karstic section (REF) and their seasonality (spring vs. autumn). This approach accounted for the diverse modes of action of pollutants by including biomarkers of metal exposure (metallothioneins, MT), general stress (total cytosolic proteins, TP), antioxidative capacity (catalase, CAT; glutathione, GSH; glutathione-S-transferase, GST), oxidative damage (malondialdehyde, MDA), and neurotoxicity (acetylcholinesterase, AChE). Only in spring, MT concentrations were 15% higher at the REF site (4.38 ± 1.06 µg mg proteins−1) compared to the KIZ site (3.69 ± 0.63 µg mg proteins−1), likely related to elevated Cd bioaccumulation due to the karstic substrate. Regardless of the season, mussels from KIZ showed consistently lower TP and GSH, with significantly higher CAT, GST, and MDA levels, indicating elevated stress, activation of antioxidant defenses, and oxidative damage from chronic exposure to pro-oxidant pollutants, including metal(loid)s and organic contaminants (e.g., ibuprofen, nicotine). Compared to the REF site, AChE activity at the KIZ site was higher in late spring and lower in early autumn, indicating seasonal variability in AChE activity at the contamination-impacted location driven by fluctuating exposure to neurotoxicants, such as drugs and insecticides. Overall, biomarker responses indicated that mild historical pollution, reinforced by current low-capacity sources, has an observable impact on mussel health, posing long-term risks to sediment-dwelling aquatic organisms.
DOI: 10.5281/zenodo.18428810
title: O'ZBEK TILSHUNOSLIGIDA GENDERGA XOS TIL BIRLIKLARINI O'RGANISH TARIXI VA ASOSIY YO'NALISHLARI

description: Mazkur maqolada o‘zbek tilshunosligida genderga xos til birliklarini o‘rganishning tarixiy shakllanish jarayoni va asosiy ilmiy yo‘nalishlari tahlil qilinadi. Tadqiqotda gender farqlanishining lisoniy mohiyati sotsiolingvistik, etnolingvistik va pragmatik yondashuvlar asosida yoritilib, erkak va ayol nutqiga xos farqlanishlarning ijtimoiy-madaniy omillar bilan bog‘liqligi asoslab beriladi. Shuningdek, folklor va dialektologik materiallar asosida genderga xos til birliklarining tarixiy qatlamlarda shakllanganligi hamda zamonaviy nutq amaliyotida ularning transformatsiya jarayonlari tahlil qilinadi. Tadqiqot natijalari o‘zbek tilshunosligida gender masalasini kompleks va milliy asosda o‘rganishning ilmiy ahamiyatini ko‘rsatadi.
DOI: 10.5281/zenodo.18428809
title: O'ZBEK TILSHUNOSLIGIDA GENDERGA XOS TIL BIRLIKLARINI O'RGANISH TARIXI VA ASOSIY YO'NALISHLARI

description: Mazkur maqolada o‘zbek tilshunosligida genderga xos til birliklarini o‘rganishning tarixiy shakllanish jarayoni va asosiy ilmiy yo‘nalishlari tahlil qilinadi. Tadqiqotda gender farqlanishining lisoniy mohiyati sotsiolingvistik, etnolingvistik va pragmatik yondashuvlar asosida yoritilib, erkak va ayol nutqiga xos farqlanishlarning ijtimoiy-madaniy omillar bilan bog‘liqligi asoslab beriladi. Shuningdek, folklor va dialektologik materiallar asosida genderga xos til birliklarining tarixiy qatlamlarda shakllanganligi hamda zamonaviy nutq amaliyotida ularning transformatsiya jarayonlari tahlil qilinadi. Tadqiqot natijalari o‘zbek tilshunosligida gender masalasini kompleks va milliy asosda o‘rganishning ilmiy ahamiyatini ko‘rsatadi.
DOI: 10.15468/dl.4wd6ht
title: Occurrence Download

description: A dataset containing 1063195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis lamottei, Chiloglanis normani, Chiloglanis occidentalis, Synodontis bastiani, Synodontis comoensis, Synodontis koensis, Synodontis obesus, Synodontis punctifer, Synodontis schall, Synodontis waterloti, Rhexipanchax nimbaensis, Poropanchax normani, Micropanchax pfaffi, Poropanchax rancureli, Aplocheilichthys spilauchen, Rhexipanchax schiotzi, Scriptaphyosemion banforense, Nimbapanchax, Nimbapanchax petersi, Scriptaphyosemion schmitti, Fundulopanchax walkeri, Epiplatys bifasciatus, Epiplatys chaperi, Epiplatys dageti, Epiplatys etzeli, Epiplatys olbrechtsi, Epiplatys spilargyreius, Enneacampus kaupi, Microphis brachyurus, Limbochromis robertsi, Tilapia brevimanus, Tilapia busumana, Heterotilapia cessiana, Coptodon dageti, Coptodon discolor, Coptodon guineensis, Pelmatolapia mariae, Coptodon walteri, Tylochromis jentinki, Awaous lateristriga, Parasicydium bandama, Eleotris senegalensis, Eleotris vittata, Ctenopoma kingsleyae, Chelon labrosus, Oreochromis mweruensis, Acipenser naccarii, Acipenser nudiventris, Ichthyomyzon bdellium, Ichthyomyzon castaneus, Ichthyomyzon fossor, Ichthyomyzon gagei, Ichthyomyzon greeleyi, Ichthyomyzon unicuspis, Lampetra aepyptera, Lethenteron appendix, Lampetra ayresii, Lampetra hubbsi, Lethenteron camtschaticum, Entosphenus lethophagus, Entosphenus minimus, Lampetra richardsoni, Entosphenus tridentatus, Petromyzon marinus, Pristis microdon, Hypanus sabinus, Acipenser brevirostrum, Acipenser fulvescens, Acipenser medirostris, Acipenser oxyrinchus, Acipenser transmontanus, Scaphirhynchus albus, Scaphirhynchus platorynchus, Lepisosteus platostomus, Lepisosteus platyrhincus, Amia calva, Hiodon alosoides, Hiodon tergisus, Coregonus autumnalis, Coregonus hoyi, Coregonus johannae, Coregonus kiyi, Coregonus nasus, Coregonus nigripinnis, Coregonus pidschian, Coregonus reighardi, Coregonus sardinella, Coregonus zenithicus, Prosopium abyssicola, Prosopium coulterii, Prosopium cylindraceum, Prosopium gemmifer, Prosopium spilonotus, Prosopium williamsoni, Oncorhynchus aguabonita, Oncorhynchus apache, Oncorhynchus clarkii, Oncorhynchus gilae, Salvelinus confluentus, Salvelinus malma)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1063195 records from 513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001611-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.