cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18124781
title: Linked collectors and determiners for: DNA links Andean tepui endemic Helonoma peruviana to Hapalorchis (Orchidaceae, Spiranthinae).

description: Natural history specimen data linked to collectors and determiners held within, "DNA links Andean tepui endemic Helonoma peruviana to Hapalorchis (Orchidaceae, Spiranthinae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/7fca54a5-6b5b-4b59-a366-b9e7239507cb using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/7fca54a5-6b5b-4b59-a366-b9e7239507cb. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.x51ir3
title: Occurrence Download

description: A dataset containing 726 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus fabri Hance"
 ]
}

 The dataset includes 726 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sx9sk
title: Occurrence Download

description: A dataset containing 15092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buenoa Kirkaldy, 1904"
 ]
}

 The dataset includes 15092 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002399-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-33495
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.pykcc0
title: Occurrence Download

description: A dataset containing 3165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "DatasetKey is EWT: Carnivore Conservation Programme Cheetah Tracking Data"
 ]
}

 The dataset includes 3165 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002586-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-33522
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-33538
title: Claims (GX 11352 - GX 11885), 1986

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.8cb9re
title: Occurrence Download

description: A dataset containing 41113613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lemna minuta Kunth, Lemna turionifera Landolt, Leonotis nepetifolia (L.) R.Br., Leontodon hispidus L., Asteraceae, Leonurus cardiaca L., Leonurus sibiricus L., Lepidium appelianum Al-Shehbaz, Lepidium bonariense L., Lepidium campestre (L.) W.T.Aiton, Lepidium chalepensis L., Lepidium densiflorum Schrad., Lepidium didymum L., Lepidium draba L., Lepidium heterophyllum Benth., Lepidium latifolium L., Lepidium perfoliatum L., Lepidium ruderale L., Lepidium sativum L., Lepidium virginicum L., Leptochloa chinensis (L.) Nees, Leptochloa mucronata (Michx.) Kunth, Leptochloa nealleyi Vasey, Leptochloa panicea (Retz.) Ohwi, Leptospermum laevigatum (Gaertn.) F.Muell.)"
 ]
}

 The dataset includes 41113613 records from 7260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006541-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fgcj3
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limnonectes blythii (Boulenger, 1920)",
 "Year 2000-2025"
 ]
}

 The dataset includes 147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000089-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kfpfu
title: Occurrence Download

description: A dataset containing 12945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Geometry POLYGON((-9.19359 38.71919,-9.19311 38.71349,-9.19208 38.71159,-9.1897 38.71038,-9.18873 38.7089,-9.1871 38.70773,-9.18562 38.70682,-9.18454 38.70595,-9.184 38.70595,-9.18267 38.70607,-9.18149 38.70595,-9.18004 38.70592,-9.17869 38.70634,-9.17899 38.70667,-9.17977 38.70764,-9.18056 38.70836,-9.18164 38.70942,-9.18252 38.71011,-9.18336 38.71126,-9.18348 38.71198,-9.18391 38.71264,-9.18372 38.71343,-9.18342 38.71527,-9.18339 38.71636,-9.18397 38.71729,-9.18593 38.71801,-9.18792 38.71859,-9.19027 38.71919,-9.19359 38.71919))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 12945 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000090-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8khhk
title: Occurrence Download

description: A dataset containing 25757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Taxodium distichum (L.) Rich."
 ]
}

 The dataset includes 25757 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000091-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuce4x
title: Occurrence Download

description: A dataset containing 12945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Geometry POLYGON((-9.19359 38.71919,-9.19311 38.71349,-9.19208 38.71159,-9.1897 38.71038,-9.18873 38.7089,-9.1871 38.70773,-9.18562 38.70682,-9.18454 38.70595,-9.184 38.70595,-9.18267 38.70607,-9.18149 38.70595,-9.18004 38.70592,-9.17869 38.70634,-9.17899 38.70667,-9.17977 38.70764,-9.18056 38.70836,-9.18164 38.70942,-9.18252 38.71011,-9.18336 38.71126,-9.18348 38.71198,-9.18391 38.71264,-9.18372 38.71343,-9.18342 38.71527,-9.18339 38.71636,-9.18397 38.71729,-9.18593 38.71801,-9.18792 38.71859,-9.19027 38.71919,-9.19359 38.71919))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 12945 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000092-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdqdut
title: Occurrence Download

description: A dataset containing 17547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Colombia, Brazil, Ecuador, Venezuela (Bolivarian Republic of), Guyana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Laguncularia racemosa var. racemosa, Laguncularia racemosa (L.) C.F.Gaertn., Laguncularia racemosa var. glabriflora (C.Presl) Stace, Laguncularia racemosa f. longifolia J.F.Macbr.)"
 ]
}

 The dataset includes 17547 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000093-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14841826
title: Gender difference in the association between Spicy Diet and Depressive States in Adolescents:  Influence of the gut microbiome
DOI: 10.5281/zenodo.14841825
title: Gender difference in the association between Spicy Diet and Depressive States in Adolescents:  Influence of the gut microbiome
DOI: 10.5284/1125915
title: Site Data from an Archaeological Strip Map and Record Excavation at Ardwick, Bennett Street, Manchester, February to March 2023

description: This collection consists of images, text, databases and a spreadsheet from an archaeological strip map and record excavation at Ardwic, Bennett Street, Manchester, from February to March 2023. The excavation exposed the entire footprint of the J.M Bennett and Sons iron foundry building. The internal layout, coupled with the location of finds assemblages allowed us to identify process flow and potential brass casting. A platform for a Cornish boiler and the site of a potential furnace utilising waste-heat boilers accounted for how the internal machinery was powered. Rail sidings linked to the main railway network indicated how materials were imported and finished products exported from the foundry.
DOI: 10.15468/dl.azydkg
title: Occurrence Download

description: A dataset containing 1578543 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NZ National Vegetation Survey occurrence data"
 ]
}

 The dataset includes 1578543 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000088-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xnky8
title: Occurrence Download

description: A dataset containing 1249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "DatasetKey is INPN - Données flore des CBN agrégées par la FCBN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Reynoutria japonica Houtt.",
 "Year 2012-2025"
 ]
}

 The dataset includes 1249 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000094-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14905617
title: Bicycle Image Dataset Vehicle Detection

description: Description:







Our Bicycle Image Dataset Vehicle Detection is a rich collection of over 5,000 images specifically curated to aid in the development of advanced computer vision algorithms. This dataset is uniquely diverse, with images captured from real-world environments, making it a valuable resource for researchers and developers working on bicycle detection and vehicle classification.

Dataset Overview

This dataset comprises high-quality images of bicycles in various orientations, lighting conditions, and environments. Each image has been manually verified by experts to ensure consistency and quality, making it suitable for a wide range of AI applications.

 







Download Dataset

 









Key Dataset Features



Dataset Size: 5,000+ high-resolution images

Contributors: Sourced from over 3,000 crowdsourcing participants globally

Resolution: HD and above, with most images at 1920×1080 resolution and higher

Geographic Diversity: Images collected from more than 3,000 distinct locations worldwide

Device Variety: Captured using smartphones, DSLR cameras, and other devices

Environmental Variations: Includes images in different lighting conditions (day/night, artificial/natural light), weather conditions, and perspectives (e.g., front view, side view, close-up, and distant shots)


Data Applications

This dataset is ideal for:



Bicycle Detection: Training AI models to recognize bicycles in urban, rural, and off-road environments

Vehicle Classification: Differentiating between two-wheelers and other vehicles

Autonomous Systems: Improving the detection algorithms for autonomous driving systems

Urban Planning: Analyzing bicycle traffic patterns and supporting city infrastructure development

Transportation Research: Understanding bicycle movement in different contexts, including city traffic, pedestrian paths, and remote areas


Unique Dataset Benefits

This dataset stands out due to its:



Crowdsourced Accuracy: Every image is carefully reviewed by computer vision professionals, ensuring high annotation quality and relevance.

Wide Variety of Scenarios: From busy urban streets to quiet country roads, this dataset covers an array of scenarios that challenge detection algorithms.

Scalability: The large number of contributors and varied locations make this dataset an invaluable resource for scalable machine learning models.


How It Can Be Used

This dataset is perfect for training deep learning models to recognize bicycles and other two-wheeled vehicles in complex environments. It’s a powerful tool for industries focused on smart cities, traffic management, autonomous vehicles, and public transportation.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14905618
title: Bicycle Image Dataset Vehicle Detection

description: Description:







Our Bicycle Image Dataset Vehicle Detection is a rich collection of over 5,000 images specifically curated to aid in the development of advanced computer vision algorithms. This dataset is uniquely diverse, with images captured from real-world environments, making it a valuable resource for researchers and developers working on bicycle detection and vehicle classification.

Dataset Overview

This dataset comprises high-quality images of bicycles in various orientations, lighting conditions, and environments. Each image has been manually verified by experts to ensure consistency and quality, making it suitable for a wide range of AI applications.

 







Download Dataset

 









Key Dataset Features



Dataset Size: 5,000+ high-resolution images

Contributors: Sourced from over 3,000 crowdsourcing participants globally

Resolution: HD and above, with most images at 1920×1080 resolution and higher

Geographic Diversity: Images collected from more than 3,000 distinct locations worldwide

Device Variety: Captured using smartphones, DSLR cameras, and other devices

Environmental Variations: Includes images in different lighting conditions (day/night, artificial/natural light), weather conditions, and perspectives (e.g., front view, side view, close-up, and distant shots)


Data Applications

This dataset is ideal for:



Bicycle Detection: Training AI models to recognize bicycles in urban, rural, and off-road environments

Vehicle Classification: Differentiating between two-wheelers and other vehicles

Autonomous Systems: Improving the detection algorithms for autonomous driving systems

Urban Planning: Analyzing bicycle traffic patterns and supporting city infrastructure development

Transportation Research: Understanding bicycle movement in different contexts, including city traffic, pedestrian paths, and remote areas


Unique Dataset Benefits

This dataset stands out due to its:



Crowdsourced Accuracy: Every image is carefully reviewed by computer vision professionals, ensuring high annotation quality and relevance.

Wide Variety of Scenarios: From busy urban streets to quiet country roads, this dataset covers an array of scenarios that challenge detection algorithms.

Scalability: The large number of contributors and varied locations make this dataset an invaluable resource for scalable machine learning models.


How It Can Be Used

This dataset is perfect for training deep learning models to recognize bicycles and other two-wheeled vehicles in complex environments. It’s a powerful tool for industries focused on smart cities, traffic management, autonomous vehicles, and public transportation.

This dataset is sourced from Kaggle.
DOI: 10.15468/dl.r2uywd
title: Occurrence Download

description: A dataset containing 9524 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phylogenomics and the rise of the angiosperms"
 ]
}

 The dataset includes 9524 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000095-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14905746
title: AMPERE Summary Plot Movies (2017-Jun)

description: 2017-Jun AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14905747
title: AMPERE Summary Plot Movies (2017-Jun)

description: 2017-Jun AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15468/dl.8txke9
title: Occurrence Download

description: A dataset containing 11448 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camelus Linnaeus, 1758"
 ]
}

 The dataset includes 11448 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000096-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dbut9
title: Occurrence Download

description: A dataset containing 12945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Geometry POLYGON((-9.19359 38.71919,-9.19311 38.71349,-9.19208 38.71159,-9.1897 38.71038,-9.18873 38.7089,-9.1871 38.70773,-9.18562 38.70682,-9.18454 38.70595,-9.184 38.70595,-9.18267 38.70607,-9.18149 38.70595,-9.18004 38.70592,-9.17869 38.70634,-9.17899 38.70667,-9.17977 38.70764,-9.18056 38.70836,-9.18164 38.70942,-9.18252 38.71011,-9.18336 38.71126,-9.18348 38.71198,-9.18391 38.71264,-9.18372 38.71343,-9.18342 38.71527,-9.18339 38.71636,-9.18397 38.71729,-9.18593 38.71801,-9.18792 38.71859,-9.19027 38.71919,-9.19359 38.71919))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 12945 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000098-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksgtf8
title: Occurrence Download

description: A dataset containing 9133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyanocorax cyanopogon (Wied-Neuwied, 1821)"
 ]
}

 The dataset includes 9133 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000099-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twyefh
title: Occurrence Download

description: A dataset containing 10094 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plants on Surtsey 1965-1990, point distribution data"
 ]
}

 The dataset includes 10094 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000100-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc3nnx
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carpinus turczaninowii Hance",
 "Year 1960-2010"
 ]
}

 The dataset includes 232 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000101-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10813667
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.cb6ke2
title: Occurrence Download

description: A dataset containing 12945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Geometry POLYGON((-9.19359 38.71919,-9.19311 38.71349,-9.19208 38.71159,-9.1897 38.71038,-9.18873 38.7089,-9.1871 38.70773,-9.18562 38.70682,-9.18454 38.70595,-9.184 38.70595,-9.18267 38.70607,-9.18149 38.70595,-9.18004 38.70592,-9.17869 38.70634,-9.17899 38.70667,-9.17977 38.70764,-9.18056 38.70836,-9.18164 38.70942,-9.18252 38.71011,-9.18336 38.71126,-9.18348 38.71198,-9.18391 38.71264,-9.18372 38.71343,-9.18342 38.71527,-9.18339 38.71636,-9.18397 38.71729,-9.18593 38.71801,-9.18792 38.71859,-9.19027 38.71919,-9.19359 38.71919))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 12945 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000102-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/uesgz5
title: Records of zooplankton from 101 alpine lakes in the Western Alps

description: All 101 lakes included in the dataset are located in the Western Alps. The selection of ponds followed the criteria that they had to be from 0.1 to 147 hectares in surface, from 1.0 to 68.5 meters in maximum depth, from 5 to 10 months per year of ice cover duration, and located close to or above the treeline, from 1556 to 3049 m. Samples of zooplankton were collected over a period of 19 years (2006-2024; 1-52 samples per lake; 17-47 samples per year). Samples were collected using vertical net hauls (from the bottom to the surface) at the deepest point of each lake, with a conical plankton net (30 or 40 cm diameter, 50 μm mesh). After collection, samples were promptly fixed in the field using either 70% ethanol or Lugol’s iodine solution. Abundance estimates were back-transformed to represent the number of individuals per cubic meter of water. At the conclusion of these operations, the entire sample was examined to identify taxa present at very low-density levels, which may have passed unnoticed due to subsampling.
The dataset includes 4463 records of the taxa Rotifera, Copepoda, Cladocera.