cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g9uqpr
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 {
 "or" : [
 "Issue is Elevation min max swapped",
 "Issue is Geodetic datum assumed WGS84"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Vatairea lundellii (Standl.) Record",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 69 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016425-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297359.1
title: StrainInfo SI-ID 297359.1

description: StrainInfo dataset 297359 about a strain of Williamsia serinedens. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297360.1
title: StrainInfo SI-ID 297360.1

description: StrainInfo dataset 297360 about a strain of Thalassospira profundimaris. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.wajiyx
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pollicaria elephas (de Morgan, 1885)"
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004202-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/o488q4
title: Système d'Information sur la Nature et les Paysages d'Ile de France - Inventaire des chiroptères de la forêt régionale de Verneuil

description: Jeux de données provenant de la base de données CETTIA du Système d'Information sur la Nature et les Paysages d'Ile de France. Il concerne la faune à l'exception des insectes.
DOI: 10.60712/si-id297361.1
title: StrainInfo SI-ID 297361.1

description: StrainInfo dataset 297361 about a strain of Thalassospira xiamenensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297362.1
title: StrainInfo SI-ID 297362.1

description: StrainInfo dataset 297362 about a strain of Thermovirga lienii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.ycb6ve
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (BRI AVH Data and Images, WildNet - Queensland Wildlife Data)",
 "GadmGid is AUS.7_1",
 "Geometry POLYGON((150.65833 -28.42186,154.21909 -28.42186,154.21909 -22.93638,150.65833 -22.93638,150.65833 -28.42186))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora stylosa Griffith"
 ]
}

 The dataset includes 66 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084613-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297459.1
title: StrainInfo SI-ID 297459.1

description: StrainInfo dataset 297459 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297460.1
title: StrainInfo SI-ID 297460.1

description: StrainInfo dataset 297460 about a strain of Sphaerisporangium melleum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297461.1
title: StrainInfo SI-ID 297461.1

description: StrainInfo dataset 297461 about a strain of Dietzia papillomatosis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.9hagul
title: Occurrence Download

description: A dataset containing 131514 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 {
 "or" : [
 "Month is June",
 "Month is July"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Empidonax alnorum Brewster, 1895",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 131514 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023279-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id297278.1
title: StrainInfo SI-ID 297278.1

description: StrainInfo dataset 297278 about a strain of Natronorubrum aibiense. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297279.1
title: StrainInfo SI-ID 297279.1

description: StrainInfo dataset 297279 about a strain of Paenibacillus barengoltzii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id297280.1
title: StrainInfo SI-ID 297280.1

description: StrainInfo dataset 297280 about a strain of Nesterenkonia aethiopica. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.b1jlnu
title: Occurrence Download

description: A dataset containing 2081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagocephalus sceleratus (Gmelin, 1789)"
 ]
}

 The dataset includes 2081 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016321-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tvkfk56s2k.1
title: HeteroTraffic: Annotated Dataset for Multi-Class Vehicle Detection in Varied Illumination and Road Conditions

description: The HeteroTraffic dataset is a large-scale, multi-class dataset developed for heterogeneous vehicle detection and intelligent transportation research. It contains 17,310 high-resolution images, each annotated in YOLO format to facilitate training and evaluation of object detection models such as YOLOv8, YOLOv11, and EfficientDet.

The images were collected from real-world highway and roadside environments under diverse traffic densities, weather conditions, and illumination variations. Data were acquired using DSLR cameras and smartphones, ensuring a mix of perspectives and resolutions that reflect realistic driving and surveillance scenarios.

Each image in the dataset is paired with an annotation file containing bounding boxes and class identifiers generated through LabelMe, later converted to YOLO format. The dataset includes 17 heterogeneous classes that represent a wide variety of vehicles and road users commonly found in mixed-traffic environments.

Vehicle Classes:
Motorbike, MPV, Pedestrian, Pickup, PowerTiller, Rickshaw, Bicycle, Bus, Bhotbhoti, Car, CNG, Easybike, Leguna, ShoppingVan, Truck, Van, and Wheelbarrow.

This diversity makes HeteroTraffic particularly suitable for developing models capable of distinguishing between both conventional and region-specific vehicle types, enhancing real-world generalization in computer vision applications.

Dataset Structure:
HeteroTraffic/
│
├── images/
│ ├── *.jpg
│
├── labels/
│ ├── *.txt
│
└── data.yaml

Each .txt file in the labels directory contains YOLO-formatted annotations:
 

Key Features:
Total Images: 16,289
Annotation Format: YOLO (converted from LabelMe JSON)
Number of Classes: 17
Data Type: RGB road and highway scenes
Image Sources: DSLR and smartphone cameras
Annotation Verification: Manually reviewed for accuracy
Use Cases: Vehicle detection, traffic monitoring, intelligent transportation, and autonomous driving

Highlights
Provides diverse, heterogeneous vehicle categories including low-frequency and region-specific types.
Enables benchmarking of deep learning models under real-world highway conditions.
Supports transfer learning, domain adaptation, and object detection studies.
Serves as a high-quality open resource for both academic and industrial research.
DOI: 10.17632/mxytpc526s
title: Efectividad de la hipotermia...

description: La hipotermia terapéutica (HT) se ha planteado como estrategia neuroprotectora en el cuidado post-paro cardíaco. Estudios iniciales mostraron beneficios en supervivencia y función neurológica, lo que impulsó su inclusión en guías internacionales. No obstante, evidencia reciente presenta resultados heterogéneos y, en muchos casos, sin mejoras significativas en mortalidad ni recuperación neurológica.
DOI: 10.17632/mxytpc526s.1
title: Efectividad de la hipotermia...

description: La hipotermia terapéutica (HT) se ha planteado como estrategia neuroprotectora en el cuidado post-paro cardíaco. Estudios iniciales mostraron beneficios en supervivencia y función neurológica, lo que impulsó su inclusión en guías internacionales. No obstante, evidencia reciente presenta resultados heterogéneos y, en muchos casos, sin mejoras significativas en mortalidad ni recuperación neurológica.
DOI: 10.17632/zcjzz2ffb5.2
title: Geochemical data for the arc at the south side of Philippine Sea Plate

description: Geochemical data for the arc at the south side of Philippine Sea Plate
DOI: 10.17632/6zx5tgxgbz
title: Mind-Wandering Uncertainty S1

description: Cleaned data set for correlational study observing the relationships between mind-wandering, uncertainty, intolerance of uncertainty, and affect. We hypothesized that intolerance of uncertainty would be positively related to mind-wandering. We found that felt uncertainty and trait intolerance of uncertainty were positively related to both spontaneous and deliberate mind-wandering. Exploratory analyses indicated that the relationship between intolerance of uncertainty and spontaneous mind-wandering was partially mediated by negative affect, but not positive affect. Additionally, we found an indirect effect of intolerance of uncertainty on deliberate mind-wandering via positive affect, but not negative affect. We also found that trait intolerance of uncertainty and felt uncertainty were strongly related.
DOI: 10.17632/6zx5tgxgbz.3
title: Mind-Wandering Uncertainty S1

description: Cleaned data set for correlational study observing the relationships between mind-wandering, uncertainty, intolerance of uncertainty, and affect. We hypothesized that intolerance of uncertainty would be positively related to mind-wandering. We found that felt uncertainty and trait intolerance of uncertainty were positively related to both spontaneous and deliberate mind-wandering. Exploratory analyses indicated that the relationship between intolerance of uncertainty and spontaneous mind-wandering was partially mediated by negative affect, but not positive affect. Additionally, we found an indirect effect of intolerance of uncertainty on deliberate mind-wandering via positive affect, but not negative affect. We also found that trait intolerance of uncertainty and felt uncertainty were strongly related.
DOI: 10.15156/bio/sh0172149.10fu
title: SH0172149.10FU

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/sh0172150.10fu
title: SH0172150.10FU

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/sh0172151.10fu
title: SH0172151.10FU

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/sh0172152.10fu
title: SH0172152.10FU

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/sh0172153.10fu
title: SH0172153.10FU

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/sh0172154.10fu
title: SH0172154.10FU

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/sh0172155.10fu
title: SH0172155.10FU

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/sh0172156.10fu
title: SH0172156.10FU

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/sh0172157.10fu
title: SH0172157.10FU

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/sh0172158.10fu
title: SH0172158.10FU

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.