cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1184/r1/26517562.v1
title: Cell-Specific Effects of Temporal Interference Stimulation on Cortical Function -- raw data

description: Temporal interference (TI) stimulation is a popular non-invasive neurostimulation technique that utilizes the following salient neural behavior: pure sinusoid (generated in off-target brain regions) appears to cause no stimulation, whereas modulated sinusoid (generated in target brain regions) does. To understand its effects and mechanisms, we examine responses of different cell types, excitatory pyramidal (Pyr) and inhibitory parvalbumin-expressing (PV) neurons, to pure and modulated sinusoids, in intact network as well as in isolation. In intact network, we present data showing that PV neurons are much less likely than Pyr neurons to exhibit TI stimulation. Remarkably, in isolation, our data shows that almost all Pyr neurons stop exhibiting TI stimulation. We conclude that TI stimulation is largely a network phenomenon. Indeed, PV neurons actively inhibit Pyr neurons in the off-target regions due to pure sinusoids (in off-target regions) generating much higher PV firing rates than modulated sinusoids in the target regions. Additionally, we use computational studies to support and extend our experimental observations.
DOI: 10.25612/837.bxmm66me05w3
title: MRLC Tree Canopy Data - H-GAC 13-County Extract

description: Extract of MRLC tree canopy data for H-GAC 13-County region from 2011-2021.
DOI: 10.15468/dl.nus35t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.890527 -33.608914, 148.890527 -33.61116, 148.895019 -33.61116, 148.895019 -33.608914, 148.890527 -33.608914)), ((148.895019 -33.61116, 148.895019 -33.615651, 148.901756 -33.615651, 148.901756 -33.61116, 148.895019 -33.61116)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058877-240626123714530/datasets/export for details.
DOI: 10.25612/837.z9ggmmg5vd61
title: MRLC Tree Canopy Data - Harris County Extract

description: Extract of MRLC tree canopy data for Harris County, Texas at the block, block group, census tract, and CTA-level from 2011-2021.
DOI: 10.15468/dl.3xxeeg
title: Occurrence Download

description: A dataset containing 2270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heliocopris Hope, 1837",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 2270 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058878-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qactr5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.638378 -33.608914, 149.638378 -33.615651, 149.640624 -33.615651, 149.640624 -33.608914, 149.638378 -33.608914)), ((149.640624 -33.615651, 149.640624 -33.617897, 149.64287 -33.617897, 149.64287 -33.615651, 149.640624 -33.615651)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058879-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f4z2bfv7vk.1
title: A Dataset on the Mental Health of Undergraduate Students in Bangladesh

description: The dataset, which focuses on mental health, was acquired via a survey given to Daffodil International University undergraduate students. A Google Forms survey was used to gather information from 500 respondents, ages 18 to 28, between May 18 and June 15, 2024. There were 143 female and 357 male responders. Four psychometric measures with international validation were used to assess mental health. A standardized questionnaire was used to gather general demographic data. The 20-item Beck Depression Inventory (BDI-II) and the 9-item Patient Health Questionnaire (PHQ-9) were used to assess depressive symptoms. The 8-item UCLA Loneliness Scale (Version 3) was used to measure loneliness in addition to the 21-item Centre for Epidemiological Studies-Depression Scale (CES-D). For future research in psychometric evaluation utilizing the previously indicated scales, the dataset, which contains descriptive statistics on the psychometric variables for the respondents, will be an invaluable resource. Furthermore, governments and non-governmental organizations wishing to carry out mental health programs or services for a larger audience may find this dataset very helpful.
DOI: 10.17632/fk4mbntsbm.1
title: Aplicación de la geometría y trigonometría en el cálculo de ángulos y longitudes en una Armadura.

description: La geometría es una rama de la matemática interesante que mezcla gran cantidad de conceptos, que permiten al estudiante resolver problemas de manera cotidiana o situaciones en el campo profesional. 
El curso de análisis geométrico que pertenece al plan de estudios por competencias del programa de ingeniería civil de la universidad cooperativa de Colombia, orienta al estudiante en temas fundamentales como por ejemplo los ángulos ,triángulos rectángulos y no rectángulos, relaciones trigonométricas, identidades y ecuaciones trigonométricas, la ley del seno y del coseno, geometría analítica, con el objetivo que el estudiante obtenga las bases necesarias para ser capaz de resolver problemas, planteados aplicando la geometría y trigonometría. 
Por este motivo, nace la necesidad de familiarizar a los estudiantes con una temática que profundizaran en cursos posteriores correspondientes a cada una de las líneas pertenecientes al programa de ingeniera civil por ejemplo estructuras, suelos, vías, recursos hídricos y construcción. En nuestro caso en especial nos enfocaremos en el curso de “Estática” y específicamente en el tema “Armaduras o cerchas”, en donde deben aplicar las competencias obtenidas en los cursos previos.
En estos cursos donde se presenta la aplicación de todos estos conceptos es donde los estudiantes presentan mayor cantidad de dificultad al momento de desarrollar su análisis, para encontrar una solución a los problemas planteados en el curso antes mencionado.
DOI: 10.6084/m9.figshare.26530693
title: PRISMA Checklist for Volatilomics: An emerging discipline within Omics Sciences – A systematic review.

description: PRISMA Checklist for Volatilomics: An emerging discipline within Omics Sciences – A systematic review.
DOI: 10.6084/m9.figshare.26530693.v4
title: PRISMA Checklist for Volatilomics: An emerging discipline within Omics Sciences – A systematic review.

description: PRISMA Checklist for Volatilomics: An emerging discipline within Omics Sciences – A systematic review.
DOI: 10.15468/dl.kvmj7r
title: Occurrence Download

description: A dataset containing 3670212 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-75.10639 9.85693,-73.40317 9.85693,-73.40317 11.31494,-74.02614 11.54027,-75.10639 11.31494,-75.10639 9.85693))"
 ]
}

 The dataset includes 3670212 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058864-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prfvay
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.660836 -33.608914, 149.660836 -33.61116, 149.663082 -33.61116, 149.663082 -33.608914, 149.660836 -33.608914))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058880-240626123714530/datasets/export for details.
DOI: 10.15468/dl.zku84j
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.44_1",
 "Month is July",
 "TaxonKey is Bombus pensylvanicus (De Geer, 1773)",
 "Year 2024-2024"
 ]
}

 The dataset includes 351 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058881-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qpv95
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.002817 -33.61116, 149.002817 -33.615651, 149.009554 -33.615651, 149.009554 -33.61116, 149.002817 -33.61116))"
 ]
}

 The dataset includes 136 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058882-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxrb82
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Norway",
 "DatasetKey is one of (Norwegian Species Observation Service, NHMO Mammal collection, International Barcode of Life project (iBOL), Biofokus, iNaturalist Research-grade Observations)",
 "Month is one of (December, January, February, March, April, May, November, June, July, August, September, October)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (b3bf3a83-1f68-4541-a03f-330d30d567f5, d3978a37-635a-4ae3-bb85-7b4d41bc0b88, f314b0b0-e3dc-11d9-8d81-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, b2c1126d-e3b4-4619-9f94-b236dcc0a947)",
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Year 1978-2024"
 ]
}

 The dataset includes 90 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058883-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzdv5t
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.44_1",
 "Month is July",
 "TaxonKey is Bombus pensylvanicus (De Geer, 1773)",
 "Year 2024-2024"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058873-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjn2ps
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.778237 -33.613406, 148.778237 -33.615651, 148.780483 -33.615651, 148.780483 -33.613406, 148.778237 -33.613406))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058884-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6fejrj
title: Occurrence Download

description: A dataset containing 1799283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Regulus regulus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1799283 records from 1865 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058874-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178328.10fu
title: SH0178328.10FU

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.18134195
title: Longitudinal Profile for Bywater-Reyes et al. (2026) Resilient St Vrain Assessment

description: Dataset associated with Bywater-Reyes et al., 2026, Lessons Learned from a Post Flood-Reconstruction Project of an Urban Stream (Resilient St. Vrain, Longmont, Colorado, USA), Geomorphology

Longitudinal profile shapefile for the study area. 

In-channel topography and ground control were surveyed with RTK GPS. 

EPSG:32613 coordinate system; WGS 84 / UTM zone 13N

Horizontal accuracy 1 cm 

Vertical accuracy 5 cm
DOI: 10.15156/bio/sh0178329.10fu
title: SH0178329.10FU

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.18134194
title: Longitudinal Profile for Bywater-Reyes et al. (2026) Resilient St Vrain Assessment

description: Dataset associated with Bywater-Reyes et al., 2026, Lessons Learned from a Post Flood-Reconstruction Project of an Urban Stream (Resilient St. Vrain, Longmont, Colorado, USA), Geomorphology

Longitudinal profile shapefile for the study area. 

In-channel topography and ground control were surveyed with RTK GPS. 

EPSG:32613 coordinate system; WGS 84 / UTM zone 13N

Horizontal accuracy 1 cm 

Vertical accuracy 5 cm
DOI: 10.15156/bio/sh0178330.10fu
title: SH0178330.10FU

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/sh0178331.10fu
title: SH0178331.10FU

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/sh0178332.10fu
title: SH0178332.10FU

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/sh0178333.10fu
title: SH0178333.10FU

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/sh0178334.10fu
title: SH0178334.10FU

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/sh0178335.10fu
title: SH0178335.10FU

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/sh0178336.10fu
title: SH0178336.10FU

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.