cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48606/tus7hs1zv77phbtv
title: Larval zebrafish behavioral and two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.

description: Animals continuously extract and evaluate diverse sensory information from the environment to guide behavior. Yet, how neural circuits integrate multiple, potentially conflicting, inputs remains poorly understood. Here, we use larval zebrafish to address this question, leveraging their robust optomotor response to coherent random dot motion and phototaxis towards light. We demonstrate that animals employ an additive behavioral algorithm of three visual features: motion coherence, luminance level, and changes in luminance. Using brain-wide two-photon imaging, we identify the loci of these computations, with the anterior hindbrain emerging as a multifeature integration hub. Through single-cell neurotransmitter and morphological analyses of functionally identified neurons, we characterize potential connections within and across computational nodes. These experiments reveal three parallel and converging computational pathways, matching our behavioral results. Our study provides a mechanistic brain-wide account of how a vertebrate brain integrates multiple features to drive sensorimotor decisions, bridging behavioral algorithms with their neural implementation.
DOI: 10.48606/zxctk8418p6jku0t
title: Larval zebrafish behavioral data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 1, part 1 of 1)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/mrx3wcdmwp2ydbp3
title: Larval zebrafish behavioral data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 2, part 1 of 5)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.15468/dl.2sgnkh
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuon alpinus"
 ]
}

 The dataset includes 895 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021885-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7zz7j
title: Occurrence Download

description: A dataset containing 2238016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Country is United States of America",
 "BasisOfRecord is Specimen",
 "Year is greater than or equal to 1850",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 2238016 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021873-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qguuhq
title: Occurrence Download

description: A dataset containing 24752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20 -38,55 -38,55 3,-20 3,-20 -38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorophyta"
 ]
}

 The dataset includes 24752 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021884-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18659244
title: Scopus United Kingdom AI in Medical Imaging (2017-2025)

description: This dataset contains the Scopus bibliographic records and cleaned data used for the bibliometric analysis titled “Artificial intelligence in medical imaging with emphasis on generative and foundation-based methods: a bibliometric analysis of global and United Kingdom research (2017–2025).”

Records were retrieved from the Scopus database on 6 February 2026 using a predefined TITLE-ABS-KEY search strategy targeting artificial intelligence and medical imaging concepts. The dataset includes publication metadata (publication year, document type, author affiliations, citation counts, funding information, and author keywords) for both the global dataset (n = 13,452) and the United Kingdom–affiliated subset (n = 889).
DOI: 10.5281/zenodo.18659245
title: Scopus United Kingdom AI in Medical Imaging (2017-2025)

description: This dataset contains the Scopus bibliographic records and cleaned data used for the bibliometric analysis titled “Artificial intelligence in medical imaging with emphasis on generative and foundation-based methods: a bibliometric analysis of global and United Kingdom research (2017–2025).”

Records were retrieved from the Scopus database on 6 February 2026 using a predefined TITLE-ABS-KEY search strategy targeting artificial intelligence and medical imaging concepts. The dataset includes publication metadata (publication year, document type, author affiliations, citation counts, funding information, and author keywords) for both the global dataset (n = 13,452) and the United Kingdom–affiliated subset (n = 889).
DOI: 10.48606/gsdv91dk3txcu07p
title: Larval zebrafish behavioral data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 2, part 2 of 5)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/y60mqtp15uaaqhee
title: Larval zebrafish behavioral data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 2, part 3 of 5)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.15468/dl.g3ew2w
title: Occurrence Download

description: A dataset containing 7987 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynopterus brachyotis"
 ]
}

 The dataset includes 7987 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021886-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48606/q8crn50g7w03gr2e
title: Larval zebrafish behavioral data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 2, part 5 of 5)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/nyefnkjyx0b1xwne
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 3, part 2 of 6)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/7evangdnh5rmvr9z
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 3, part 1 of 6)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.5281/zenodo.18610950
title: Digital elevation model and sedimentary cover of the Alto Guadiana area

description: This dataset is made of 5 files and has been created to build up a 3D model using Oasis Montaj (from Seequent). The model has been used for the calculation of the stored (heat in place) and recoverable heat in the Cretaceous and Jurassic sedimentary layers using 3DHIP software.

 

Study area: 300000 / 585000 / 4175000 / 4460000

Coordinates of all data: ETRS89 UTM30N in m

 

Geological model

Is made of five layers. The top of the model is the topography, the base of the model is set at a depth of 10000 m bsl

Format

●        Each of the model files has three columns: X, Y, Z, where X, Y are the coordinates and Z is the depth/elevation to the corresponding layer. 

●        For the elevation, Z is positive, in m. For the rest of the files, Z, in m, is negative downwards.

●        Files have been exported as ASCII files from Oasis Montaj grids with a grid space of 1000 m

Files

Elevation: MDT_IGN_1000m.xyz

Base of Tertiary: 1-BaseTerciario.xyz

Base of Cretaceous: 2-BaseCretacico.xyz

Base of Jurassic: 3-BaseJurasico.xyz 

Top of the basement: 4-TechoBasamento.xyz

 

References

Geological model

Informe SID: 64050 

Proyecto Plan ALGECO2. Selección y Caracterización de Áreas y Estructuras Favorables para el almacenamiento geológico de CO2 en España. Volumen IV-1 Cadenas Béticas y Cuenca del Guadalquivir – Geología –29p., Anexos. Instituto Geológico y Minero de España. 2010.

Dirección y Coordinación del Plan ALGECO2: José Luis García Lobón y Vicente Gabaldón López.

Dirección y Supervisión: José Luis García Lobón y Carlos Marín Lechado.

Jefe de Proyecto: Fernando López Sopeña.

Equipo de Trabajo: Kilian Motis Rovira, Julián Huerta Carmona y J.J. Navarro Juli.

Asesores y Colaboradores: Wenceslao Martínez del Olmo, Juan Plaza Hernando y José Manuel Portero García.

Informe SID: 64048

Proyecto Plan ALGECO2. Selección y Caracterización de Áreas y Estructuras Favorables para el almacenamiento geológico de CO2 en España. Volumen III-1 Cadena Ibérica y Cuencas del Tajo y de Almazán – Geología –30p., Anexos. Instituto Geológico y Minero de España. 2010.

Dirección y Coordinación del Plan ALGECO2: José Luis García Lobón y Vicente Gabaldón López.

Dirección y Supervisión: Fabián Luis López Olmedo.

Jefe de Proyecto: Pedro Pablo Hernaiz Huerta.

Equipo de Trabajo: Jose Mediato Arribas. Carlos Peropadre Medina. Ona Monleón Gómez. Sandra García Curiel. Cristina Horno Kort. Manuel Gómez Expósito. Leire Iribarren González. Fernando Moreno Serrano. Pedro Huerta Hurtado. Cristina Biete Castells. Eva Hermida del Caz. Gonzalo Ruiz Cebrián.

Asesores y Colaboradores: Juan José Gómez Fernández.

Torne, M., Alves, T. M., Jiménez-Munt, I., Carvalho, J., Ayala, C., Ramalho, E. C., Gómez-García, A. M., Matias, H., Heida, H., Balaguera, A., García-Lobón, J. L., and Vergés, J. (2025): SedDARE-IB: an open-access repository of sediment data for the Iberian Peninsula and its continental margins, Earth Syst. Sci. Data, 17, 1275–1293, https://doi.org/10.5194/essd-17-1275-2025, 2025
DOI: 10.5281/zenodo.18610951
title: Digital elevation model and sedimentary cover of the Alto Guadiana area

description: This dataset is made of 5 files and has been created to build up a 3D model using Oasis Montaj (from Seequent). The model has been used for the calculation of the stored (heat in place) and recoverable heat in the Cretaceous and Jurassic sedimentary layers using 3DHIP software.

 

Study area: 300000 / 585000 / 4175000 / 4460000

Coordinates of all data: ETRS89 UTM30N in m

 

Geological model

Is made of five layers. The top of the model is the topography, the base of the model is set at a depth of 10000 m bsl

Format

●        Each of the model files has three columns: X, Y, Z, where X, Y are the coordinates and Z is the depth/elevation to the corresponding layer. 

●        For the elevation, Z is positive, in m. For the rest of the files, Z, in m, is negative downwards.

●        Files have been exported as ASCII files from Oasis Montaj grids with a grid space of 1000 m

Files

Elevation: MDT_IGN_1000m.xyz

Base of Tertiary: 1-BaseTerciario.xyz

Base of Cretaceous: 2-BaseCretacico.xyz

Base of Jurassic: 3-BaseJurasico.xyz 

Top of the basement: 4-TechoBasamento.xyz

 

References

Geological model

Informe SID: 64050 

Proyecto Plan ALGECO2. Selección y Caracterización de Áreas y Estructuras Favorables para el almacenamiento geológico de CO2 en España. Volumen IV-1 Cadenas Béticas y Cuenca del Guadalquivir – Geología –29p., Anexos. Instituto Geológico y Minero de España. 2010.

Dirección y Coordinación del Plan ALGECO2: José Luis García Lobón y Vicente Gabaldón López.

Dirección y Supervisión: José Luis García Lobón y Carlos Marín Lechado.

Jefe de Proyecto: Fernando López Sopeña.

Equipo de Trabajo: Kilian Motis Rovira, Julián Huerta Carmona y J.J. Navarro Juli.

Asesores y Colaboradores: Wenceslao Martínez del Olmo, Juan Plaza Hernando y José Manuel Portero García.

Informe SID: 64048

Proyecto Plan ALGECO2. Selección y Caracterización de Áreas y Estructuras Favorables para el almacenamiento geológico de CO2 en España. Volumen III-1 Cadena Ibérica y Cuencas del Tajo y de Almazán – Geología –30p., Anexos. Instituto Geológico y Minero de España. 2010.

Dirección y Coordinación del Plan ALGECO2: José Luis García Lobón y Vicente Gabaldón López.

Dirección y Supervisión: Fabián Luis López Olmedo.

Jefe de Proyecto: Pedro Pablo Hernaiz Huerta.

Equipo de Trabajo: Jose Mediato Arribas. Carlos Peropadre Medina. Ona Monleón Gómez. Sandra García Curiel. Cristina Horno Kort. Manuel Gómez Expósito. Leire Iribarren González. Fernando Moreno Serrano. Pedro Huerta Hurtado. Cristina Biete Castells. Eva Hermida del Caz. Gonzalo Ruiz Cebrián.

Asesores y Colaboradores: Juan José Gómez Fernández.

Torne, M., Alves, T. M., Jiménez-Munt, I., Carvalho, J., Ayala, C., Ramalho, E. C., Gómez-García, A. M., Matias, H., Heida, H., Balaguera, A., García-Lobón, J. L., and Vergés, J. (2025): SedDARE-IB: an open-access repository of sediment data for the Iberian Peninsula and its continental margins, Earth Syst. Sci. Data, 17, 1275–1293, https://doi.org/10.5194/essd-17-1275-2025, 2025
DOI: 10.48606/9j4b5awkcdw2vp2g
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 3, part 4 of 6)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/j5yxjhb5qsddmcd1
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 4, part 1 of 2)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/5nza2u1dm32pmue5
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 3, part 6 of 6)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/50deukdtv74vf9b9
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 4, part 2 of 2)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/q3av5mdre0wa52bn
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 3, part 5 of 6)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/9jpv6xzw8amdbp3j
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 5, part 1 of 1)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/w3fhkq8cyu0gsp75
title: Larval zebrafish behavioral data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 2, part 4 of 5)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.48606/z0ne58ynxkn3u8t7
title: Larval zebrafish two-photon imaging data in response to multifeature visual stimuli (random-dot-motion and luminance) – Slangewal et al. 2026 (Figure 3, part 3 of 6)
title: Slangewal, K., Aimon, S., Capelle, M. Q., Kämpf, F., Naumann, H., Slanchev, K., Baier, H., Bahl, A. Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain. Nat. Commun. 2026.
DOI: 10.15468/dl.nercm5
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Living Specimen)",
 "DatasetKey is one of (Australian Microbiome 18S (Eukaryote) Dataset of Terrestrial Samples)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Nautococcus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 80 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021887-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z96byx
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.8_1",
 "Geometry POLYGON((13.73607 41.61094,13.74209 41.50102,13.86909 41.50102,13.84843 41.61143,13.73607 41.61094))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 474 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021889-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3y8fg
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eriachne pulchella"
 ]
}

 The dataset includes 1243 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021890-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pr84ge
title: Occurrence Download

description: A dataset containing 25965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20 -38,55 -38,55 38,-20 38,-20 -38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Marchantiophyta"
 ]
}

 The dataset includes 25965 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021888-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfukp3
title: Occurrence Download

description: A dataset containing 157535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Coenonympha arcania"
 ]
}

 The dataset includes 157535 records from 1429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021868-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvfdxx
title: Occurrence Download

description: A dataset containing 2441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Aquila chrysaetos)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 2441 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005740-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eykpkx
title: Occurrence Download

description: A dataset containing 35961 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthemis cotula"
 ]
}

 The dataset includes 35961 records from 1031 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005732-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wzgdy
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Krynickillus melanocephalus",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005741-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.