cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ysi3pa
title: Occurrence Download

description: A dataset containing 5164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cucurbita pepo L.",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 5164 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002517-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpcb23
title: Occurrence Download

description: A dataset containing 1584139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica persica Poir., Vicia hybrida Huds., Vicia sativa L., Campanula rhomboidalis L., Carex sempervirens Elliott, Carum carvi L., Centaurea alpestris Hegetschw., Centaurea montana L., Centaurea uniflora Turra, Chaerophyllum hirsutum L., Crepis conyzifolia Dalla Torre, Crepis pyrenaica (L.) Greuter, Euphorbia cyparissias L., Festuca nigrescens Lam., Festuca paniculata (L.) Schinz & Thell., Gentiana lutea L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1584139 records from 3364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004768-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16866508
title: MY-VID: A Malaysian Vehicle Image Dataset for Intelligent Transportation System and Road Safety

description: MY-VID v2 is the enhanced second release of the Malaysian Vehicle Image Dataset, featuring high-quality traffic images captured from a primary Malaysian expressway environment. While MY-VID v1 contained 8,832 images with only two broad categories, MY-VID v2 upgrades the dataset by adopting the six-class taxonomy established by the Malaysian Public Works Department (Jabatan Kerja Raya or JKR). This granular classification offers a precise representation of Malaysian traffic composition, distinguishing between specific vehicle types such as heavy lorries, light vans, and motorcycles.

Although focused on a targeted highway domain, the dataset captures a rich variety of temporal and environmental conditions, including day and night scenes, diverse weather patterns (rain, fog, sunny), and fluctuating traffic densities. This focused operational domain allows for robust testing of AI models against the specific challenges of Malaysian expressway traffic, addressing the generalization gap often found in Western-centric datasets (e.g., COCO) when applied to Southeast Asian vehicle models (e.g., Proton, Perodua).




Features
Decsription


Total Images
8,832 images


Total Vehicle Annotations
47,975 vehicles


Image Format
JPG


Annotation Format
YOLO (.txt format)


Classes




Class 1 (Cars and Taxis)

Class 2 (Vans and Utilities)

Class 3 (Medium Lorries)

Class 4 (Heavy Lorries)

Class 5 (Buses)

Class 6 (Motorcycles)




Capture Conditions




Different times of day (daytime to nighttime)

Various weather conditions (sunny, cloudy, rainy)

Across different days (weeksdays, weekends, public holidays)

Varying traffic densitives (light, moderate and heavy traffic)
DOI: 10.5281/zenodo.17861464
title: MY-VID: A Malaysian Vehicle Image Dataset for Intelligent Transportation System and Road Safety

description: MY-VID v2 is the enhanced second release of the Malaysian Vehicle Image Dataset, featuring high-quality traffic images captured from a primary Malaysian expressway environment. While MY-VID v1 contained 8,832 images with only two broad categories, MY-VID v2 upgrades the dataset by adopting the six-class taxonomy established by the Malaysian Public Works Department (Jabatan Kerja Raya or JKR). This granular classification offers a precise representation of Malaysian traffic composition, distinguishing between specific vehicle types such as heavy lorries, light vans, and motorcycles.

Although focused on a targeted highway domain, the dataset captures a rich variety of temporal and environmental conditions, including day and night scenes, diverse weather patterns (rain, fog, sunny), and fluctuating traffic densities. This focused operational domain allows for robust testing of AI models against the specific challenges of Malaysian expressway traffic, addressing the generalization gap often found in Western-centric datasets (e.g., COCO) when applied to Southeast Asian vehicle models (e.g., Proton, Perodua).




Features
Decsription


Total Images
8,832 images


Total Vehicle Annotations
47,975 vehicles


Image Format
JPG


Annotation Format
YOLO (.txt format)


Classes




Class 1 (Cars and Taxis)

Class 2 (Vans and Utilities)

Class 3 (Medium Lorries)

Class 4 (Heavy Lorries)

Class 5 (Buses)

Class 6 (Motorcycles)




Capture Conditions




Different times of day (daytime to nighttime)

Various weather conditions (sunny, cloudy, rainy)

Across different days (weeksdays, weekends, public holidays)

Varying traffic densitives (light, moderate and heavy traffic)
DOI: 10.15468/dl.4zycbp
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((104.0122 1.188922, 104.0022 1.188922, 104.002 1.180833, 103.992 1.180833, 103.9911 1.140392, 103.9811 1.140392, 103.9809 1.132303, 103.971 1.132303, 103.961 1.132303, 103.9608 1.124215, 103.9508 1.124215, 103.9309 1.124215, 103.9307 1.116127, 103.9207 1.116127, 103.9205 1.108038, 103.9105 1.108038, 103.9104 1.09995, 103.9004 1.09995, 103.8804 1.09995, 103.8801 1.083774, 103.8901 1.083774, 103.8899 1.075686, 103.8999 1.075686, 103.8994 1.051421, 103.9094 1.051421, 103.9089 1.027156, 103.9188 1.027156, 103.9187 1.019068, 103.9287 1.019068, 103.9288 1.027156, 103.9588 1.027156, 103.9586 1.019068, 103.9686 1.019068, 103.9687 1.027156, 103.9787 1.027156, 103.9789 1.035245, 103.9988 1.035245, 103.9987 1.027156, 104.0086 1.027156, 104.009 1.043333, 103.999 1.043333, 103.9992 1.051421, 103.9892 1.051421, 103.9894 1.059509, 103.9494 1.059509, 103.9496 1.067597, 103.9396 1.067597, 103.9401 1.091862, 103.9501 1.091862, 103.9503 1.09995, 103.9802 1.09995, 103.9902 1.09995, 103.9904 1.108038, 104.0203 1.108038, 104.0201 1.09995, 104.0301 1.09995, 104.0299 1.091862, 104.0399 1.091862, 104.0401 1.09995, 104.08 1.09995, 104.09 1.09995, 104.0902 1.108038, 104.0802 1.108038, 104.0804 1.116127, 104.0704 1.116127, 104.0707 1.132303, 104.0608 1.132303, 104.0609 1.140392, 104.051 1.140392, 104.0513 1.156568, 104.0413 1.156568, 104.0417 1.172745, 104.0317 1.172745, 104.0321 1.188922, 104.0221 1.188922, 104.0223 1.19701, 104.0123 1.19701, 104.0122 1.188922))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 430 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039362-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mne3dk
title: Occurrence Download

description: A dataset containing 11123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalaria retusa"
 ]
}

 The dataset includes 11123 records from 470 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039363-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7facr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "InstitutionCode is one of (FMNH)",
 "CatalogNumber is one of (350812)"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039365-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6vje6
title: Occurrence Download

description: A dataset containing 13101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streblospio shrubsolii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13101 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039367-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23641/asha.30128671
title: Dysphagia and insomnia (Garand et al., 2025)

description: <b>Purpose: </b>We explored associations between self-reported swallowing and sleep problems (dysphagia and insomnia, respectively) in a nationally representative sample in the United States.<b>Method: </b>We analyzed data from the 2022 National Health Interview Survey. Multinomial logistic regression models examined the odds of insomnia among adults reporting dysphagia. The models were adjusted for relevant demographic and clinical factors. Population-based estimates were also calculated.<b>Results:</b> The weighted prevalences of dysphagia and insomnia symptoms were 6.2% (95% CI [5.84, 6.52]) and 49.2% (95% CI [48.5, 49.9]), respectively. Dysphagia was more common in individuals who were older; were female; have higher body mass index; have history of cancer, chronic obstructive pulmonary disease, COVID-19, dementia, myocardial infarction, and stroke; and reported more severe depressive and anxiety symptoms. Individuals with dysphagia had higher odds of reporting trouble falling asleep some days (adjusted odds ratio [OR] = 1.35, p &lt; .0001), most days (adjusted OR = 1.59, p &lt; .0001), and every day (adjusted OR = 1.31, p = .0291) compared to those who never having trouble falling asleep. When compared to those who never had trouble staying asleep, those with dysphagia had higher odds of reporting trouble staying asleep some days (adjusted OR = 1.29, p = .002), most days (adjusted OR = 1.74, p &lt; .0001), and every day (adjusted OR = 1.45, p = .0006). Lastly, for individuals who reported dysphagia, there were higher odds of reported never waking up feeling rested (adjusted OR = 2.25, p &lt; .0001) and only some days feeling rested (adjusted OR = 1.93, p &lt; .0001) compared to those who woke up feeling rested every day.<b>Conclusion: </b>Population estimates indicate that individuals with dysphagia symptoms are at greater risk of insomnia.<b>Supplemental Material S1.</b> Association between insomnia and swallowing during sleep from binary logistic regression analysis.Garand, K. L., Jones, K., Zhang, X., Bertisch, S. M., & Patel, S. R. (2025). Exploring associations between dysphagia and insomnia: Results from the 2022 National Health Interview Survey. <i>Perspectives of the ASHA Special Interest Groups,</i><i> </i><i>10</i>(6), 2023–2031. https://doi.org/10.1044/2025_PERSP-25-00058
DOI: 10.23641/asha.30128671.v1
title: Dysphagia and insomnia (Garand et al., 2025)

description: <b>Purpose: </b>We explored associations between self-reported swallowing and sleep problems (dysphagia and insomnia, respectively) in a nationally representative sample in the United States.<b>Method: </b>We analyzed data from the 2022 National Health Interview Survey. Multinomial logistic regression models examined the odds of insomnia among adults reporting dysphagia. The models were adjusted for relevant demographic and clinical factors. Population-based estimates were also calculated.<b>Results:</b> The weighted prevalences of dysphagia and insomnia symptoms were 6.2% (95% CI [5.84, 6.52]) and 49.2% (95% CI [48.5, 49.9]), respectively. Dysphagia was more common in individuals who were older; were female; have higher body mass index; have history of cancer, chronic obstructive pulmonary disease, COVID-19, dementia, myocardial infarction, and stroke; and reported more severe depressive and anxiety symptoms. Individuals with dysphagia had higher odds of reporting trouble falling asleep some days (adjusted odds ratio [OR] = 1.35, p &lt; .0001), most days (adjusted OR = 1.59, p &lt; .0001), and every day (adjusted OR = 1.31, p = .0291) compared to those who never having trouble falling asleep. When compared to those who never had trouble staying asleep, those with dysphagia had higher odds of reporting trouble staying asleep some days (adjusted OR = 1.29, p = .002), most days (adjusted OR = 1.74, p &lt; .0001), and every day (adjusted OR = 1.45, p = .0006). Lastly, for individuals who reported dysphagia, there were higher odds of reported never waking up feeling rested (adjusted OR = 2.25, p &lt; .0001) and only some days feeling rested (adjusted OR = 1.93, p &lt; .0001) compared to those who woke up feeling rested every day.<b>Conclusion: </b>Population estimates indicate that individuals with dysphagia symptoms are at greater risk of insomnia.<b>Supplemental Material S1.</b> Association between insomnia and swallowing during sleep from binary logistic regression analysis.Garand, K. L., Jones, K., Zhang, X., Bertisch, S. M., & Patel, S. R. (2025). Exploring associations between dysphagia and insomnia: Results from the 2022 National Health Interview Survey. <i>Perspectives of the ASHA Special Interest Groups,</i><i> </i><i>10</i>(6), 2023–2031. https://doi.org/10.1044/2025_PERSP-25-00058
DOI: 10.23641/asha.30290560
title: Impacts of seeing bilingual children (Potratz, 2025)

description: <b>Purpose:</b> Overall, seeing a speaker results in higher intelligibility than hearing speech alone because of visual speech cues. Intelligibility ratings of conversational speech samples provided by school-age bilingual children in two presentation modalities (i.e., audio only and audiovisual [AV]) were examined to determine whether there were other impacts of seeing the children.<b>Method: </b>Forty speech-language pathologists (SLPs) rated the intelligibility of conversational speech samples provided by 23 typically developing school-age children in three groups: bilingual Spanish–English, bilingual Mam–English (Mam is an Indigenous, Mayan language spoken in Guatemala), and monolingual English (control). In an online experiment, SLPs heard audio-only and AV recordings of individual 2-min speech samples in a randomized order. Data were analyzed using a linear mixed-effects model to determine if there were effects of presentation modality, speaker group, or accentedness on the intelligibility ratings.<b>Results:</b> No statistical differences were found between intelligibility ratings from the audio-only and AV presentation modalities. Accentedness was a significant factor on intelligibility ratings, whereas speaker group was not.<b>Conclusions: </b>SLPs rated conversational speech samples of bilingual and monolingual English-speaking children as having similar intelligibility, regardless of whether they listened to audio-only or AV recordings, even though visual speech cues should have caused a difference. Clinically, when SLPs use intelligibility ratings in their assessments of bilingual children’s speech for speech sound disorders, it is vital to consider the influences of nonnative accent and linguistic bias.<b>Supplemental Material S1. </b>Intelligibility rating means and standard deviations for speakers by group and modality.Potratz, J. R. (2025). Impacts of seeing bilingual children on intelligibility ratings. <i>Perspectives of the ASHA Special Interest Groups,</i><i> </i><i>10</i>(6), 2095–2103. https://doi.org/10.1044/2025_PERSP-25-00043
DOI: 10.23641/asha.30290560.v1
title: Impacts of seeing bilingual children (Potratz, 2025)

description: <b>Purpose:</b> Overall, seeing a speaker results in higher intelligibility than hearing speech alone because of visual speech cues. Intelligibility ratings of conversational speech samples provided by school-age bilingual children in two presentation modalities (i.e., audio only and audiovisual [AV]) were examined to determine whether there were other impacts of seeing the children.<b>Method: </b>Forty speech-language pathologists (SLPs) rated the intelligibility of conversational speech samples provided by 23 typically developing school-age children in three groups: bilingual Spanish–English, bilingual Mam–English (Mam is an Indigenous, Mayan language spoken in Guatemala), and monolingual English (control). In an online experiment, SLPs heard audio-only and AV recordings of individual 2-min speech samples in a randomized order. Data were analyzed using a linear mixed-effects model to determine if there were effects of presentation modality, speaker group, or accentedness on the intelligibility ratings.<b>Results:</b> No statistical differences were found between intelligibility ratings from the audio-only and AV presentation modalities. Accentedness was a significant factor on intelligibility ratings, whereas speaker group was not.<b>Conclusions: </b>SLPs rated conversational speech samples of bilingual and monolingual English-speaking children as having similar intelligibility, regardless of whether they listened to audio-only or AV recordings, even though visual speech cues should have caused a difference. Clinically, when SLPs use intelligibility ratings in their assessments of bilingual children’s speech for speech sound disorders, it is vital to consider the influences of nonnative accent and linguistic bias.<b>Supplemental Material S1. </b>Intelligibility rating means and standard deviations for speakers by group and modality.Potratz, J. R. (2025). Impacts of seeing bilingual children on intelligibility ratings. <i>Perspectives of the ASHA Special Interest Groups,</i><i> </i><i>10</i>(6), 2095–2103. https://doi.org/10.1044/2025_PERSP-25-00043
DOI: 10.15468/dl.gd994k
title: Occurrence Download

description: A dataset containing 81467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fulgoridae"
 ]
}

 The dataset includes 81467 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039342-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5dkz8
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Circeis armoricana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 132 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039370-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywtqac
title: Occurrence Download

description: A dataset containing 10849197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania, Europe, North America, South America)",
 "CoordinateUncertaintyInMeters 0.0-100000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diptera",
 "Year 1975-2025"
 ]
}

 The dataset includes 10849197 records from 1643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039333-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrechv
title: Occurrence Download

description: A dataset containing 1360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus albicaulis Engelm."
 ]
}

 The dataset includes 1360 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007765-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsx7pv
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhododendron dauricum L.",
 "Year 1950-2023"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030101-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b485f
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spathoglottis vanvuurenii J.J.Sm."
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138399-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zumgt
title: Occurrence Download

description: A dataset containing 3897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erysimum hieraciifolium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3897 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296844-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpm7mb
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spatholirion elegans (Cherfils) C.Y.Wu"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138404-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nd8sym
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus lauramiriamae Heyer & Crombie, 2005"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296877-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg8d3p
title: Occurrence Download

description: A dataset containing 11477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parnassius mnemosyne (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Geometry POLYGON((-11.64551 29.26758,48.20801 29.26758,48.20801 72.1582,-11.64551 72.1582,-11.64551 29.26758))",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1993",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 11477 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013847-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.