cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29242787
title: Dataset supporting "Cyclones reduce growth and mortality differences between liana-laden and liana-free trees in Belize"

description: Lianas—woody vines—are often abundant and strong competitors in tropical forests, shaping forest structure and diversity by affecting tree growth and mortality. Tropical cyclones damage trees and create canopy openings that favour lianas, but the combined effects of lianas and cyclones on tree dynamics remain largely unexplored. Using long-term forest inventory data from Belize along with estimates of cyclone wind exposure, we assessed how cyclone disturbances influence liana prevalence (i.e., the proportion of liana-laden trees in a stand) and cyclone-liana interactions modulate tree growth and mortality patterns.Cyclone wind exposure reduced liana prevalence in the short term (5- and 10-year post-disturbance), but ultimately increased it over a longer timeframe (20-years) . Precipitation also strongly influenced liana prevalence, with drier conditions promoting tree infestation by lianas.Lianas generally suppressed tree growth and increased mortality risk. However, increasing wind exposure diminished these effects, causing growth rates and mortality risk of liana-free and liana-laden trees to converge. Liana-free tree mortality risk rose more steeply showing a trend toward higher mortality risk than liana-laden trees under high wind exposure, potentially due to the stabilizing benefits of lianas and/or their association with cyclone-resistant tree species. <b>Synthesis:</b> Our findings reveal a time-dependent influence of cyclones on liana prevalence and demonstrate that cyclones moderate liana effects on growth and mortality by favoring liana-prone, cyclone-resistant species while disproportionately impacting liana-free trees. These insights highlight the importance of considering cyclone disturbances when predicting liana-tree interactions and their impacts on forest dynamics and carbon storage in tropical forests.
DOI: 10.6084/m9.figshare.29242787.v1
title: Dataset supporting "Cyclones reduce growth and mortality differences between liana-laden and liana-free trees in Belize"

description: Lianas—woody vines—are often abundant and strong competitors in tropical forests, shaping forest structure and diversity by affecting tree growth and mortality. Tropical cyclones damage trees and create canopy openings that favour lianas, but the combined effects of lianas and cyclones on tree dynamics remain largely unexplored. Using long-term forest inventory data from Belize along with estimates of cyclone wind exposure, we assessed how cyclone disturbances influence liana prevalence (i.e., the proportion of liana-laden trees in a stand) and cyclone-liana interactions modulate tree growth and mortality patterns.Cyclone wind exposure reduced liana prevalence in the short term (5- and 10-year post-disturbance), but ultimately increased it over a longer timeframe (20-years) . Precipitation also strongly influenced liana prevalence, with drier conditions promoting tree infestation by lianas.Lianas generally suppressed tree growth and increased mortality risk. However, increasing wind exposure diminished these effects, causing growth rates and mortality risk of liana-free and liana-laden trees to converge. Liana-free tree mortality risk rose more steeply showing a trend toward higher mortality risk than liana-laden trees under high wind exposure, potentially due to the stabilizing benefits of lianas and/or their association with cyclone-resistant tree species. <b>Synthesis:</b> Our findings reveal a time-dependent influence of cyclones on liana prevalence and demonstrate that cyclones moderate liana effects on growth and mortality by favoring liana-prone, cyclone-resistant species while disproportionately impacting liana-free trees. These insights highlight the importance of considering cyclone disturbances when predicting liana-tree interactions and their impacts on forest dynamics and carbon storage in tropical forests.
DOI: 10.6084/m9.figshare.29310668.v14
title: Logic 14 pdf NEW

description: Logic innovation
DOI: 10.6084/m9.figshare.29367305.v9
title: Syllogistic reasoning pdf v1-2-3-4 NEW

description: Logic and being
DOI: 10.15139/s3/maj82e
title: City of Castle Pines Safety Action Plan May 2024 (2024). Castle Pines, Colorado

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
description: The plan was originally downloaded on 6.25.25 at the following link: https://www.castlepinesco.gov/safe-streets-for-all-comprehensive-action-plan/
DOI: 10.15139/s3/smd5b9
title: Vision Zero Morgan Hill Strategies to Eliminate Traffic Deaths and Serious Injuries (2018). Morgan Hill, California

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
description: The plan was originally downloaded on 6.25.25 at the following link: https://ca-morganhill3.civicplus.com/DocumentCenter/View/22484/Vision-Zero-Morgan-Hill-January-2018?bidId=
DOI: 10.17632/8nnd2ypcv3
title: Niphad Grape Leaf Disease Dataset (NGLD)

description: Dataset has a collection of 2,726 high-quality images of Table Grape leaves categorized into four distinct disease categories. 
Each category is stored in a separate folder such as, Downy Mildew, Bacterial Leaf Spot, Powdery Mildew, and Healthy Leaves.
These images are Captured using mobile phones for real-world authenticity.
Dataset with 256*256 image dimensions and 96 dpi Ideal for Machine Learning, Plant Pathology, and Agricultural Research.
This dataset can be used for training AI models to recognize, classify, and diagnose table grape leaf diseases based on visual symptoms. 
It can also aid in developing automated plant disease detection systems for precision agriculture.
DOI: 10.17632/8nnd2ypcv3.5
title: Niphad Grape Leaf Disease Dataset (NGLD)

description: Dataset has a collection of 2,726 high-quality images of Table Grape leaves categorized into four distinct disease categories. 
Each category is stored in a separate folder such as, Downy Mildew, Bacterial Leaf Spot, Powdery Mildew, and Healthy Leaves.
These images are Captured using mobile phones for real-world authenticity.
Dataset with 256*256 image dimensions and 96 dpi Ideal for Machine Learning, Plant Pathology, and Agricultural Research.
This dataset can be used for training AI models to recognize, classify, and diagnose table grape leaf diseases based on visual symptoms. 
It can also aid in developing automated plant disease detection systems for precision agriculture.
DOI: 10.5281/zenodo.15742287
title: Comparing statistically based CTA tools - payloads 2 of 3

description: Payloads used for collecting timing measurements from implementations of CRYSTALS-Kyber.
DOI: 10.5281/zenodo.15742288
title: Comparing statistically based CTA tools - payloads 2 of 3

description: Payloads used for collecting timing measurements from implementations of CRYSTALS-Kyber.
DOI: 10.15468/dl.n9nazh
title: Occurrence Download

description: A dataset containing 204668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vaccinium uliginosum L.",
 "Year 1980-2025"
 ]
}

 The dataset includes 204668 records from 532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069188-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27464997
title: SI of Zhao et al. 2024 JGR v2.zip

description: Supporting Information for a paper submitted to <i>Journal of Geophysical Research: Solid Earth</i> by Zhao et al., Nov. 2024, v2
DOI: 10.6084/m9.figshare.27464997.v2
title: SI of Zhao et al. 2024 JGR.zip

description: Supporting Information for a paper submitted to <i>Journal of Geophysical Research: Solid Earth</i> by Zhao et al., Nov. 2024.
DOI: 10.6084/m9.figshare.27464997.v3
title: SI of Zhao et al. 2024 JGR v2.zip

description: Supporting Information for a paper submitted to <i>Journal of Geophysical Research: Solid Earth</i> by Zhao et al., Nov. 2024, v2
DOI: 10.17632/rynrzt2f6t
title: Photo-Realistic Traffic Scene Datasets: Real and Synthetic Perspectives_Extended Version

description: This dataset provides a comprehensive collection of traffic scene datasets, categorized into four main groups: Traffic Scene Datasets, Top-View Datasets, MultiHeightView Datasets and Depth Datasets. Dataset includes both real-world and synthetic datasets, designed to support research in robotics, self driving car with computer vision. These datasets are intended to assist in various research areas, such as road user detection, top-view traffic analysis, traffic pattern recognition, depth information extraction, and infrastructure monitoring using aerial views in urban environments. The dataset approach encourages synthetic data utilization in regions with privacy restrictions, where public video recording is legally and culturally constrained. It demonstrates how limited real-world data can be augmented with photorealistic synthetic scenes for research.and vision model training and testing.
DOI: 10.17632/rynrzt2f6t.1
title: Photo-Realistic Traffic Scene Datasets: Real and Synthetic Perspectives_Extended Version

description: This dataset provides a comprehensive collection of traffic scene datasets, categorized into four main groups: Traffic Scene Datasets, Top-View Datasets, MultiHeightView Datasets and Depth Datasets. Dataset includes both real-world and synthetic datasets, designed to support research in robotics, self driving car with computer vision. These datasets are intended to assist in various research areas, such as road user detection, top-view traffic analysis, traffic pattern recognition, depth information extraction, and infrastructure monitoring using aerial views in urban environments. The dataset approach encourages synthetic data utilization in regions with privacy restrictions, where public video recording is legally and culturally constrained. It demonstrates how limited real-world data can be augmented with photorealistic synthetic scenes for research.and vision model training and testing.
DOI: 10.34965/i60323
title: 20245340
DOI: 10.34965/i60327
title: 20245528
DOI: 10.18739/a2wh2dh0v
title: A synthesis of Pacific Arctic marine mammal occurrences (1860-2024)

description: Data on marine mammals in the Pacific Arctic region is limited, variably collected over time and by multiple sources. Therefore, collation and synthesis of previously collected data, such as the dataset presented here, make these data more useful to researchers, managers, policy makers, and residents. This collated dataset contains marine mammal occurrences in the Pacific Arctic from 1860 to 2024. Specifically, the dataset focuses on occurrence records of three species – Pacific walrus (Odobenus rosmarus), spotted seal (Phoca largha), and bearded seal (Erignathus barbatus). These species were chosen because of their ecological importance to the Pacific Arctic ecosystem as well as their cultural and subsistence importance to local Indigenous communities. Data were aggregated from open-access, public online data repositories. Datasets were tidied into a standardized format and then integrated to create a singular dataset of occurrence data for these three species. The final dataset contains 36,438 presence-only occurrence points over 164 years throughout the Bering, Chukchi, and Beaufort Seas. This dataset provides stakeholders with quantitative data that can be used to evaluate spatial patterns of marine mammal species over time in the Pacific Arctic region, which can generate insights into the effects of human disturbances (e.g., shipping, resource extraction) and climate change when combined with other environmental variables.
 (Waloven et al. 2025 in prep)
DOI: 10.15468/dl.56c57t
title: Occurrence Download

description: A dataset containing 6424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyanea Gaudich."
 ]
}

 The dataset includes 6424 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069190-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf9gsc
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fimbristylis quinquangularis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 148 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023535-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqnzrt
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil)",
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apterygiformes"
 ]
}

 The dataset includes 471 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023536-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su3pkn
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cestrum diurnum",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023537-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hz8vek
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cestrum diurnum",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023538-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8ug62
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cestrum diurnum",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023539-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ganac7
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fimbristylis subinclinata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023541-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jh8n8w
title: Occurrence Download

description: A dataset containing 20423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-115.55492 31.24127,-107.92462 31.24127,-107.92462 39.14258,-115.55492 39.14258,-115.55492 31.24127))",
 "TaxonKey is Peromyscus maniculatus"
 ]
}

 The dataset includes 20423 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023540-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z6cvb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physalis cordata",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023542-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfxfjy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physalis cordata",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023543-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jegubq
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mariscus sumatrensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 125 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023544-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.th2wxv
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physalis pruinosa",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023545-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybaz9t
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schoenoplectiella juncoides",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 150 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023546-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtjkrw
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyathea miersii",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023547-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwhwp5
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campanula andrewsii andrewsii"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023548-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx3myx
title: Occurrence Download

description: A dataset containing 7170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.08233 31.20041,-108.04054 31.20041,-108.04054 39.1829,-115.08233 39.1829,-115.08233 31.20041))",
 "TaxonKey is Peromyscus maniculatus",
 "Year 1993-2022"
 ]
}

 The dataset includes 7170 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023549-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qk2je
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schoenoplectiella mucronata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 149 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023550-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c54q7r341
title: MassIVE MSV000099302 - Amostras nao-acidificadas campanha RN corretas
title: Samples collected from the Negro River in rainy season
DOI: 10.34740/kaggle/dsv/13190415
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.9qe4k4
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicranopteris linearis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023551-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebcuu9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicranopteris linearis",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023552-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtzk8a
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schoenoplectus tabernaemontani",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 101 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023553-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17215023
title: Benchmark for learning with Contradictory Facts
DOI: 10.5281/zenodo.17215024
title: Benchmark for learning with Contradictory Facts