cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/a2a447c1-d70e-4982-ac0d-0072adf27f9f
title: Endeavour South Conductivity Temperature Depth Deployed 2023-07-09

description: The Sea-Bird Microcat SBE37SMP-ODO 9537 was deployed on 2023-07-09 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.15468/dl.zkw49e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Laserpitium hispidum, )"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043201-240626123714530/datasets/export for details.
DOI: 10.34943/e4594b4b-e144-41a0-9cc2-d53251d750b3
title: Endeavour South Oxygen Sensor Deployed 2023-07-09

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 632429 was deployed on 2023-07-09 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/f77e1713-b356-48fb-acf0-edd06e83f92e
title: Main Endeavour Field South Water sampler Deployed 2024-06-19

description: The UMN Gas-tight Serial Sampler 01 was deployed on 2024-06-19 at Main Endeavour Field South. Main Endeavour Field South is at the south end of the Main Endeavour Field located along the Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Water sampler. Water samplers are devices that collect physical samples of fluid. They can be remotely triggered, either manually or automatically, with a set schedule. Upon recovery, the fluid-filled containers can be processed to determine their chemical and biological constituents. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.15468/dl.4zsuy8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Laserpitium hispidum, )"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043202-240626123714530/datasets/export for details.
DOI: 10.21227/gg6h-k890
title: CMU dataset

description: Particulate pollution, PM2.5, is an important issue in Asian countries due to its health hazards. Knowing the measurement of PM2.5 concentration value is important to plan outdoor activities. Due to the less number of government run Air Quality Monitoring Stations, other options for getting location-specific PM2.5 concentration values are sought. This paper proposes to estimate the PM2.5 concentration value using photo image processing. This research aims to improve the efficacy and reduce the computational complexity of the PM2.5 concentration value estimation process. The proposed Efficient PM2.5 estimation framework uses EfficientNet-B1 and BiLSTM to estimate the PM2.5 concentration value. The Met-EfficientNet-B1-BiLSTM has been designed and implemented to incorporate the Meteorological features temperature, wind speed and humidity to further improve the estimation accuracy. The EfficientNet-B1 neural network is applied in the image feature vector extraction process. The BiLSTM is used for the regression of these image features with PM2.5 concentration values to get the estimated PM2.5 concentration values. The optimum EfficientNet variant for a smaller dataset of images required for PM2.5 concentration value estimation is figured out to be EfficientNet-B1 with 240 x 240 pixels resolution. A dataset containing HDR and non-HDR images created for this study is used for comparing the types of images that facilitate the feature extraction process and accuracy of PM2.5 concentration estimation. The proposed Efficient PM2.5 estimation framework, can reduce computational complexity and outperform the ResNet-18-LSTM by improving efficacy by 5.75\% in MAE and 11.43\% in SMAPE matrices. The proposed Efficient PM2.5 estimation framework demonstrates that the mobile image can be used for PM2.5 estimation.
DOI: 10.6084/m9.figshare.26411605
title: Jatropha curcas (var.CN) assembly

description: We report ~339 Mbp draft whole genome sequence of <i>J. curcas</i> var. Chai Nat using both the PacBio and Illumina sequencing platforms.<br>NCBI Accession PRJNA399212NCBI biosamples SAMN07527287 ­­Organism: Jatropha curcas­Tax ID: 180498­<br>Publications Ha J <i>et al.,</i> "Genome sequence of Jatropha curcas L., a non-edible biodiesel plant, provides a resource to improve seed-related traits.", <i>Plant Biotechnol J</i>, 2019 Feb;17(2):517-530
DOI: 10.21227/4w5v-pe53
title: CMU dataset

description: Particulate pollution, PM2.5, is an important issue in Asian countries due to its health hazards. Knowing the measurement of PM2.5 concentration value is important to plan outdoor activities. Due to the less number of government run Air Quality Monitoring Stations, other options for getting location-specific PM2.5 concentration values are sought. This paper proposes to estimate the PM2.5 concentration value using photo image processing. This research aims to improve the efficacy and reduce the computational complexity of the PM2.5 concentration value estimation process. The proposed Efficient PM2.5 estimation framework uses EfficientNet-B1 and BiLSTM to estimate the PM2.5 concentration value. The Met-EfficientNet-B1-BiLSTM has been designed and implemented to incorporate the Meteorological features temperature, wind speed and humidity to further improve the estimation accuracy. The EfficientNet-B1 neural network is applied in the image feature vector extraction process. The BiLSTM is used for the regression of these image features with PM2.5 concentration values to get the estimated PM2.5 concentration values. The optimum EfficientNet variant for a smaller dataset of images required for PM2.5 concentration value estimation is figured out to be EfficientNet-B1 with 240 x 240 pixels resolution. A dataset containing HDR and non-HDR images created for this study is used for comparing the types of images that facilitate the feature extraction process and accuracy of PM2.5 concentration estimation. The proposed Efficient PM2.5 estimation framework, can reduce computational complexity and outperform the ResNet-18-LSTM by improving efficacy by 5.75% in MAE and 11.43% in SMAPE matrices. The proposed Efficient PM2.5 estimation framework demonstrates that the mobile image can be used for PM2.5 estimation.
DOI: 10.15468/dl.sxd9cx
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tripidium arundinaceum (Retz.) Welker, Voronts. & E.A.Kellogg"
 ]
}

 The dataset includes 587 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043206-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de4pbn
title: Occurrence Download

description: A dataset containing 10277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "GadmGid is one of (GBR.3_1, GBR.4_1, GBR.1_1)",
 "Geometry POLYGON((-180 51,180 51,180 52,-180 52,-180 51))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cepaea nemoralis (Linnaeus, 1758), Cepaea hortensis (O.F.Müller, 1774))"
 ]
}

 The dataset includes 10277 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043205-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aced56
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Laserpitium siler, )"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043208-240626123714530/datasets/export for details.
DOI: 10.15468/dl.58b9h5
title: Occurrence Download

description: A dataset containing 37212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((164.1411 -6.34638,121.50487 21.13878,104.71776 7.48607,90.49872 8.65681,102.86648 -10.35682,123.29318 -13.1698,135.13231 -8.79584,145.32516 -10.33192,163.41992 -13.96932,164.1411 -6.34638))",
 "TaxonKey is Tracheophyta",
 "TypeStatus is one of (Unspecified type, Holotype, Isotype)"
 ]
}

 The dataset includes 37212 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043209-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47gxwr
title: Occurrence Download

description: A dataset containing 11960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "GadmGid is one of (GBR.3_1, GBR.4_1, GBR.1_1)",
 "Geometry POLYGON((-180 52,180 52,180 53,-180 53,-180 52))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cepaea nemoralis (Linnaeus, 1758), Cepaea hortensis (O.F.Müller, 1774))"
 ]
}

 The dataset includes 11960 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043211-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86kkdv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Libanophlebotomus Azar, Nel, Solignac, Paicheler & Bouchet, 1999"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043213-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w8pcu
title: Occurrence Download

description: A dataset containing 87255608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coccothraustes coccothraustes (Linnaeus, 1758), Sitta europaea Linnaeus, 1758, Certhia brachydactyla C.L.Brehm, 1820, Cettia cetti (Temminck, 1820), Emberiza citrinella Linnaeus, 1758, Regulus regulus (Linnaeus, 1758), Pyrrhula pyrrhula (Linnaeus, 1758), Anthus pratensis (Linnaeus, 1758), Cisticola juncidis (Rafinesque, 1810), Emberiza calandra Linnaeus, 1758, Motacilla cinerea Tunstall, 1771, Turdus viscivorus Linnaeus, 1758, Prunella modularis (Linnaeus, 1758), Passer domesticus (Linnaeus, 1758), Linaria cannabina (Linnaeus, 1758), Loxia curvirostra Linnaeus, 1758, Turdus merula Linnaeus, 1758, Carduelis carduelis (Linnaeus, 1758), Emberiza schoeniclus (Linnaeus, 1758), Passer montanus (Linnaeus, 1758), Erithacus rubecula (Linnaeus, 1758), Saxicola rubicola (Linnaeus, 1766), Sturnus vulgaris Linnaeus, 1758, Certhia familiaris Linnaeus, 1758, Phylloscopus collybita (Vieillot, 1817), Fringilla coelebs Linnaeus, 1758, Regulus ignicapilla (Temminck, 1820), Troglodytes troglodytes (Linnaeus, 1758), Motacilla alba Linnaeus, 1758, Turdus philomelos C.L.Brehm, 1831, Phoenicurus ochruros (S.G.Gmelin, 1774), Sylvia atricapilla (Linnaeus, 1758))",
 "Geometry POLYGON((-19.5 34.1, 27.8 34.1, 35.9 68.1, -25.3 68.1, -19.5 34.1))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation)",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2008"
 ]
}

 The dataset includes 87255608 records from 8289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043203-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5asys4
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Derispia Lewis, 1894",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 129 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208761-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gw5v4
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "PublishingOrg is one of (7d91f9bd-f6cd-48e3-ba81-3c228cf5e13a)",
 "StateProvince is one of (antioquia, valle del cauca, caldas, magdalena, bolívar, la guajira, chocó, cauca, córdoba)",
 "TaxonKey is one of (Chiroderma Peters, 1860)"
 ]
 }
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207960-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9dfp9
title: Occurrence Download

description: A dataset listing the 3823423 species recorded in GBIF matching the query:
{ }

 The dataset's 3823423 records were derived from 54963 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283244-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/zzc-gpj-sf2
title: †Eoplectodonta Kozlowski, 1929

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t51-jla-5qk
title: †Euomphalopterus C. F. Roemer, 1876

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/63p-mke-362
title: †Rhynchotrema Hall, 1860

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9rb-gde-c83
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/la6-bvz-3sg
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rer-7qx-bqc
title: Tabulata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wcv-nje-2q5
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hjg-kdk-yvb
title: Heliolites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tfz-99l-ttf
title: Heliolites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/asz-awy-wne
title: Heliolites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/039-zar-7py
title: Tabulata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zem-tnc-973
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qe4-vka-5a3
title: Tabulata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t3y-cjg-1g1
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fry-3lp-yc8
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ghg-pwd-0lr
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q9t-e1p-j1v
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xwm-772-0dv
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tfe-dwz-dq7
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xtw-ecx-tlx
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4e3-55h-j0m
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8d3-l7q-49h
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bgm-5jd-d4c
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k2g-c9g-kbg
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/02j-220-a5r
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.tvkmsz
title: Occurrence Download

description: A dataset containing 17903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1970-2000",
 "HasCoordinate is true",
 "TaxonKey is Sorghum bicolor (L.) Moench",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17903 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003724-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vryafn
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Chiropotes albinasus (I.Geoffroy Saint-Hilaire & Deville, 1848)"
 ]
}

 The dataset includes 75 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073921-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek3wis
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Uganda",
 "Country is South Sudan",
 "Country is Congo, Democratic Republic of the",
 "Country is Kenya",
 "Country is Tanzania, United Republic of"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Piliocolobus tephrosceles (Elliot, 1907)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018723-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn4hng
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Vespa crabro Linnaeus"
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060799-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.