cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0174580.10fu
title: SH0174580.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18175367
title: Large-scale simultaneous recordings of single units from dorsal and ventral hippocampus in freely-behaving rats during a fear conditioning protocol

description: The data set contains large-scale simultaneous recordings of single units from the dorsal and ventral hippocampus in freely-behaving rats. The data were used to study how contextual and emotional information are integrated across the dorsoventral axis of the hippocampus.

Results from the experiments are described in:

Pompili*, Hamou* & Wiener (2026) Integration of fear learning and fear expression across the dorsoventral axis of the hippocampus. PNAS

The data set includes 12 sessions, each consisting of 5 concatenated sub-sessions: preTask, task1, interTask, task2, postTask. Data include sorted spikes (times, clusters), freezing and resting periods (detected as in Pompili and Todorova (2022) Front. Neural Circuits) and sub-sessions beginning and end times. They are provided in the standard, open format of NeuroSuite (L. Hazan, http://neurosuite.sourceforge.net, see Hazan et al., 2006). Data analyses described in the above article used our free (GPL-licensed) Freely Moving Animal Toolbox (FMAToolbox, M. Zugaro, https://github.com/zugarolab/FMAToolbox).

—-

Please contact Marco Pompili if you are planning to use these data for a publication in order to discuss potential authorship. In any case, if you publish any work using the data, please cite the publications above and the data set as follows, using the following:

Marco N. Pompili, Noé Hamou & Sidney I. Wiener (2026) Large-scale simultaneous recordings of single units from dorsal and ventral hippocampus in freely-behaving rats during a fear conditioning protocol. Zenodo. https://doi.org/10.5281/zenodo.18175366.
DOI: 10.5281/zenodo.18175366
title: Large-scale simultaneous recordings of single units from dorsal and ventral hippocampus in freely-behaving rats during a fear conditioning protocol

description: The data set contains large-scale simultaneous recordings of single units from the dorsal and ventral hippocampus in freely-behaving rats. The data were used to study how contextual and emotional information are integrated across the dorsoventral axis of the hippocampus.

Results from the experiments are described in:

Pompili*, Hamou* & Wiener (2026) Integration of fear learning and fear expression across the dorsoventral axis of the hippocampus. PNAS

The data set includes 12 sessions, each consisting of 5 concatenated sub-sessions: preTask, task1, interTask, task2, postTask. Data include sorted spikes (times, clusters), freezing and resting periods (detected as in Pompili and Todorova (2022) Front. Neural Circuits) and sub-sessions beginning and end times. They are provided in the standard, open format of NeuroSuite (L. Hazan, http://neurosuite.sourceforge.net, see Hazan et al., 2006). Data analyses described in the above article used our free (GPL-licensed) Freely Moving Animal Toolbox (FMAToolbox, M. Zugaro, https://github.com/zugarolab/FMAToolbox).

—-

Please contact Marco Pompili if you are planning to use these data for a publication in order to discuss potential authorship. In any case, if you publish any work using the data, please cite the publications above and the data set as follows, using the following:

Marco N. Pompili, Noé Hamou & Sidney I. Wiener (2026) Large-scale simultaneous recordings of single units from dorsal and ventral hippocampus in freely-behaving rats during a fear conditioning protocol. Zenodo. https://doi.org/10.5281/zenodo.18175366.
DOI: 10.15156/bio/sh0174581.10fu
title: SH0174581.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0174582.10fu
title: SH0174582.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0174583.10fu
title: SH0174583.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0174584.10fu
title: SH0174584.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0174585.10fu
title: SH0174585.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0174586.10fu
title: SH0174586.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.95nu95
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-81 35,-80.5 35,-80.5 35.5,-81 35.5,-81 35))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Setophaga petechia (Linnaeus, 1766)"
 ]
}

 The dataset includes 446 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078148-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsxqjb
title: Occurrence Download

description: A dataset containing 727029 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (santander)"
 ]
}

 The dataset includes 727029 records from 523 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060133-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdjqff
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pradosia decipiens Ducke"
 ]
}

 The dataset includes 37 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006059-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1jawg4
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Yucca whipplei Torr."
 ]
}

 The dataset includes 520 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004758-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drd9ec
title: Occurrence Download

description: A dataset containing 566209 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 {
 "or" : [
 "Country is Sweden",
 "Country is Finland",
 "Country is Norway",
 "Country is Germany",
 "Country is Denmark"
 ]
 },
 "Year 2000-2019",
 "HasCoordinate is true",
 "TaxonKey is Ericaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 566209 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003729-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r2uht
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.35547 26.71875,-76.57471 27.77344,-79.34326 26.85059,-80.00244 23.4668,-83.12256 23.51074,-85.67139 21.79688,-82.37549 19.33594,-75.95947 14.89746,-70.90576 13.0957,-70.20264 11.86523,-63.17139 10.72266,-61.76514 10.01953,-60.62256 9.8877,-57.854 14.89746,-62.90771 19.86328,-71.34521 22.5,-74.35547 26.71875))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pedunculata"
 ]
}

 The dataset includes 100 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034932-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3haoo
title: Occurrence Download

description: A dataset containing 6566 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "Year 1950-2018",
 "TaxonKey is Tithonia Desf. ex Juss."
 ]
}

 The dataset includes 6566 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004758-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2oxdwl
title: Occurrence Download

description: A dataset containing 617 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageneiosus inermis (Linnaeus, 1766)"
 ]
}

 The dataset includes 617 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025207-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c84ntx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriophyes albaespinae Cotte, 1912"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014366-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqzkuy
title: Occurrence Download

description: A dataset containing 3857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Leptonycteris yerbabuenae Martínez & Villa-R., 1940"
 ]
}

 The dataset includes 3857 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051615-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzev2l
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "StateProvince is hidalgo",
 "StateProvince is queretaro",
 "StateProvince is queretaro de arteaga",
 "StateProvince is querétaro",
 "StateProvince is querétaro arteaga",
 "StateProvince is querétaro de arteaga",
 "StateProvince is san luis potosí",
 "StateProvince is san luis potosi",
 "StateProvince is potosí",
 "StateProvince is potosi department",
 "StateProvince is nuevo leon",
 "StateProvince is nuevo león",
 "StateProvince is tamaulipas",
 "StateProvince is tamaulipas province",
 "StateProvince is tamaulipas state",
 "StateProvince is tamalulipas",
 "StateProvince is guanajuato",
 "StateProvince is guanajuata",
 "StateProvince is veracruz",
 "StateProvince is veracruz llave",
 "StateProvince is puebla",
 "StateProvince is puebla state"
 ]
 },
 "TaxonKey is Dactylortyx thoracicus (Gambel, 1848)"
 ]
}

 The dataset includes 445 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004758-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kveq8
title: Occurrence Download

description: A dataset listing the 535 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Establecimiento de un área protegida en el Alto y Bajo Calima, área clave de biodiversidad en el Valle del Cauca, Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 535 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150627-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufv7p7
title: Occurrence Download

description: A dataset containing 62998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CGMS - Herbário da Fundação Universidade Federal de Mato Grosso do Sul"
 ]
}

 The dataset includes 62998 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039133-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prpuz5
title: Occurrence Download

description: A dataset containing 46311 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atractosteus spatula (Lacepède, 1803)"
 ]
}

 The dataset includes 46311 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025626-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edzecy
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Secutor ruconius (Hamilton, 1822)"
 ]
}

 The dataset includes 42 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034942-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvbgfn
title: Occurrence Download

description: A dataset containing 860 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vachellia caven in Southern South America"
 ]
}

 The dataset includes 860 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057649-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttdbe6
title: Occurrence Download

description: A dataset containing 142773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 142773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338488-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxwa4f
title: Occurrence Download

description: A dataset containing 143664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreoscoptes montanus (J.K.Townsend, 1837)"
 ]
}

 The dataset includes 143664 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057559-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6asaa
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "TaxonKey is Branchiomma coheni Tovar-Hernandez & Knight-Jones, 2006",
 "TaxonKey is Alitta succinea (Leuckart, 1847)",
 "TaxonKey is Branchiomma bairdi (McIntosh, 1885)"
 ]
 }
 ]
}

 The dataset includes 293 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006060-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uau2u
title: Occurrence Download

description: A dataset containing 124827 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "TaxonKey is Gasterosteus aculeatus Linnaeus, 1758"
 ]
}

 The dataset includes 124827 records from 386 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006104-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.