cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.34k9ed
title: Occurrence Download

description: A dataset containing 1672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lyonia ovalifolia (Wall.) Drude",
 "Year 1979-2000"
 ]
}

 The dataset includes 1672 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056715-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-fond003
title: Counting Species with DNA Barcodes: Canadian Insects

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-avesna1
title: A DNA-Based Registry forpyll Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Birds of Argentina

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-beeire1
title: A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Bees of Ireland

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-fishaus1
title: A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Fish of Australia

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-fishcan1
title: A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Fish of Canada

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-geobav1
title: A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Geometridae of Bavaria

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-lepna1
title: A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Lepidoptera of North America

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-plusna1
title: A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Plusiinae of North America

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-avesnt1
title: A DNA-Based Registrpytor All Animal Species: The Barcode Index Number (BIN) System - Benchmark Dataset: Birds of North America

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.xcvsx9
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron moulmainense Hook.fil.",
 "Year 1979-2000"
 ]
}

 The dataset includes 102 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056716-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/dataset-periga01
title: Four new Periga Walker, 1855 (Lepidoptera: Saturniidae, Hemileucinae, Hemileucini) from Southeastern and Southern Brazil

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-nhmbf13
title: Recovery of DNA barcodes from blackfly museum specimens (Diptera: Simuliidae) using primer sets that target a variety of sequence lengths

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-ascos
title: Barcoding a collection of ants (Formicidae) from Isla del Cocos, Costa Rica

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-smtp520
title: Hagersville Elementary School EQP-CLL-520

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-smtp527
title: Grand River Collegiate Institute EQP-CLL-527

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-smtp558
title: Grandview Central Public School EQP-CLL-558

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-smtp526
title: Hagersville Elementary School EQP-CLL-526

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-smtp548
title: Altona Forest Public School EQP-CLL-548

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-grmapdoi
title: Complementary molecular information changes our perception of food web structure

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.14600616
title: Postmenopausal Osteoporosis
DOI: 10.5281/zenodo.14600617
title: Postmenopausal Osteoporosis
DOI: 10.5883/ds-mawfl
title: DNA barcoding of Bemisia tabaci complex (Hemiptera: Aleyrodidae) reveals southerly expansion of the vector species for cotton leaf curl virus in Pakistan

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-graph
title: Testing the validity of Pathysa, Paranticopsis, and the species of Graphium (Lepidoptera: Papilionidae) in Peninsular Malaysia with DNA barcode and 28S rDNA

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-smtp560
title: Holy Family Elementary School EQP-CLL-560

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-whama
title: Wellington Hall Academy EQP-CLL-550

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-cratmono
title: Crataegus xnina-celottiae and C. xcogswellii (Rosaceae, Maleae), two spontaneously formed intersectional nothospecies

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-hotus
title: DNA barcode-based delineation of putative species accelerates taxonomy

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-bwpal
title: Bats of the West Palaearctic

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-ascyn1
title: Public DNA barcode record helps to document the first North American occurrence of the cynipid wasp, Aulacidea pilosellae (Kieffer)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-anic1b
title: A DNA Barcode Blitz: Rapid Digitization and Sequencing of a Natural History Collection

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-anic1a
title: A DNA Barcode Blitz: Rapid Digitization and Sequencing of a Natural History Collection

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-anic2a
title: Probing the Diversity of Australian Lepidoptera with DNA Barcodes

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.fmfnfp
title: Occurrence Download

description: A dataset containing 2821184804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1950-2025"
 ]
}

 The dataset includes 2821184804 records from 56689 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056684-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18075743
title: PEMDefect-1107

description: PEMDefect-1107 is a curated grayscale image dataset for single-class defect localization in proton-exchange membrane (PEM) fuel cell materials. The dataset is designed for bounding-box–based defect detection and supports research in materials-focused computer vision, data-centric machine learning, and defect localization under data-scarce conditions.

The dataset contains 1,107 images in total and is organized under a single root directory with explicit train, validation, and test splits. The splits consist of 1,045 training images, 31 validation images, and 31 test images. Each split is stored in a dedicated subdirectory and follows a split-aware directory structure to prevent data leakage.

All bounding-box annotations are provided in YOLO format, with one label file per image. This format ensures a strict one-to-one correspondence between images and annotations and avoids centralized annotation mismatch issues. A dataset configuration file (dataset.yaml) is included to define split paths and class metadata, enabling immediate use in standard object detection pipelines.

All images are provided in grayscale, resized to a fixed resolution of 640 × 640 pixels, and stored in JPG format. A consistent, physics-aware preprocessing pipeline was applied across the dataset, including conversion from microscopy acquisition formats, deterministic removal of scale bars via cropping, and global intensity normalization. Scale bars were removed to prevent shortcut learning from acquisition metadata and to ensure models learn from intrinsic material structure rather than imaging artifacts.

The train/validation/test split was finalized prior to any data augmentation, ensuring strict separation between splits. Data augmentation was applied exclusively to the training set, while validation and test images remain unaugmented, enabling unbiased and reproducible evaluation of defect localization performance.

The dataset underwent comprehensive integrity and validation checks, including verification of image–annotation correspondence, geometric consistency of bounding boxes, absence of truncation artifacts, detection of duplicate images, and confirmation of split integrity with no leakage across subsets. All hard validation criteria were satisfied in the final release.

PEMDefect-1107 is suitable for training and benchmarking defect localization models such as Faster R-CNN and RetinaNet (via standard annotation conversion), as well as for studying data-centric effects, augmentation strategies, and robustness in materials-oriented computer vision tasks.
DOI: 10.5281/zenodo.18075742
title: PEMDefect-1107

description: PEMDefect-1107 is a curated grayscale image dataset for single-class defect localization in proton-exchange membrane (PEM) fuel cell materials. The dataset is designed for bounding-box–based defect detection and supports research in materials-focused computer vision, data-centric machine learning, and defect localization under data-scarce conditions.

The dataset contains 1,107 images in total and is organized under a single root directory with explicit train, validation, and test splits. The splits consist of 1,045 training images, 31 validation images, and 31 test images. Each split is stored in a dedicated subdirectory and follows a split-aware directory structure to prevent data leakage.

All bounding-box annotations are provided in YOLO format, with one label file per image. This format ensures a strict one-to-one correspondence between images and annotations and avoids centralized annotation mismatch issues. A dataset configuration file (dataset.yaml) is included to define split paths and class metadata, enabling immediate use in standard object detection pipelines.

All images are provided in grayscale, resized to a fixed resolution of 640 × 640 pixels, and stored in JPG format. A consistent, physics-aware preprocessing pipeline was applied across the dataset, including conversion from microscopy acquisition formats, deterministic removal of scale bars via cropping, and global intensity normalization. Scale bars were removed to prevent shortcut learning from acquisition metadata and to ensure models learn from intrinsic material structure rather than imaging artifacts.

The train/validation/test split was finalized prior to any data augmentation, ensuring strict separation between splits. Data augmentation was applied exclusively to the training set, while validation and test images remain unaugmented, enabling unbiased and reproducible evaluation of defect localization performance.

The dataset underwent comprehensive integrity and validation checks, including verification of image–annotation correspondence, geometric consistency of bounding boxes, absence of truncation artifacts, detection of duplicate images, and confirmation of split integrity with no leakage across subsets. All hard validation criteria were satisfied in the final release.

PEMDefect-1107 is suitable for training and benchmarking defect localization models such as Faster R-CNN and RetinaNet (via standard annotation conversion), as well as for studying data-centric effects, augmentation strategies, and robustness in materials-oriented computer vision tasks.
DOI: 10.15468/dl.y73nhp
title: Occurrence Download

description: A dataset containing 384425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "ClassKey is Aves",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "StateProvince is Shanghai"
 ]
}

 The dataset includes 384425 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081945-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wum3ka
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.085853 22.356814, 71.009919 22.351237, 70.935872 22.334646, 70.86555199999999 22.307452, 70.800702 22.270331, 70.74292800000001 22.224205, 70.693654 22.170217, 70.65409099999999 22.109704, 70.625204 22.044164, 70.607692 21.975216, 70.60196999999999 21.904562, 70.608163 21.833942, 70.62609999999999 21.765093, 70.65532399999999 21.699708, 70.695104 21.63939, 70.74445299999999 21.585618, 70.80215200000001 21.539707, 70.866786 21.502782, 70.936768 21.475743, 71.01039 21.459251, 71.085853 21.453708, 71.161315 21.459251, 71.234937 21.475743, 71.30492 21.502782, 71.369553 21.539707, 71.427252 21.585618, 71.476601 21.63939, 71.516381 21.699708, 71.54560499999999 21.765093, 71.563542 21.833942, 71.56973499999999 21.904562, 71.564013 21.975216, 71.54650100000001 22.044164, 71.51761500000001 22.109704, 71.47805099999999 22.170217, 71.428777 22.224205, 71.371003 22.270331, 71.30615299999999 22.307452, 71.235833 22.334646, 71.161787 22.351237, 71.085853 22.356814))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081970-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffh683
title: Occurrence Download

description: A dataset containing 3331994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melospiza georgiana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 3331994 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081926-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ejsx2
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.75536 41.81761,13.79702 41.81761,13.79702 41.84949,13.75536 41.84949,13.75536 41.81761))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 70 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081969-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18187923
title: Rock Sample Geochemistry, Petrology, and Isotopic Analyses Supporting Geochronological and Thermochronological Modelling

description: The bulk chemical composition of the hornfels sample (Table S1), the mineral stoichiometric coefficients and the composition of the mass‑balanced reaction R1 (Table S2), the LA‑ICP‑MS U–Pb zircon data from the Gavorrano granite (Table S3), and the apatite (U–Th)/He data from the Gavorrano granite (Table S4) are provided in support of the manuscript “Thermo‑rheological Model for Rapid Magma Cooling and Exhumation: The Pliocene Gavorrano Granite (Northern Apennines, Italy)” by Perrini et al., submitted to JGR–Solid Earth.
DOI: 10.5281/zenodo.18187924
title: Rock Sample Geochemistry, Petrology, and Isotopic Analyses Supporting Geochronological and Thermochronological Modelling

description: The bulk chemical composition of the hornfels sample (Table S1), the mineral stoichiometric coefficients and the composition of the mass‑balanced reaction R1 (Table S2), the LA‑ICP‑MS U–Pb zircon data from the Gavorrano granite (Table S3), and the apatite (U–Th)/He data from the Gavorrano granite (Table S4) are provided in support of the manuscript “Thermo‑rheological Model for Rapid Magma Cooling and Exhumation: The Pliocene Gavorrano Granite (Northern Apennines, Italy)” by Perrini et al., submitted to JGR–Solid Earth.
DOI: 10.15468/dl.xhytw3
title: Occurrence Download

description: A dataset containing 2990731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abrus precatorius, Abutilon theophrasti, Acacia dealbata, Acacia mearnsii, Acacia melanoxylon, Acacia paradoxa, Acer palmatum, Acer platanoides, Acer tataricum, Adenanthera pavonina, Aegilops cylindrica, Aegilops triuncialis, Aegopodium podagraria, Aeschynomene indica, Ageratina adenophora, Agropyron cristatum, Agrostemma githago, Agrostis avenacea, Agrostis capillaris, Agrostis gigantea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2990731 records from 4496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081953-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q942n
title: Occurrence Download

description: A dataset containing 58486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ixobrychus minutus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58486 records from 682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062395-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1200770.10fu
title: SH1200770.10FU

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/sh1200772.10fu
title: SH1200772.10FU

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.