cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/kwospw
title: Replication Code for Advance Tax Credits: Reconciliations and Repayments

description: Replication code for “Advance Tax Credits: Reconciliations and Repayments.” IRS tax data is confidential and cannot be posted.
DOI: 10.15468/dl.bcphmf
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.67306 14.18611,-88.96474 14.08626,-88.9741 14.80081,-89.62313 14.77585,-89.67306 14.18611))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Molothrus aeneus (Wagler, 1829)",
 "Year 2000-2025"
 ]
}

 The dataset includes 196 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018693-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b96dhp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-79.84292 -2.64357,-79.55375 -2.64327,-79.55409 -2.33059,-79.8432 -2.33086,-79.84292 -2.64357))",
 "Geometry POLYGON((-79.84292 -2.64357,-79.55375 -2.64327,-79.55409 -2.33059,-79.8432 -2.33086,-79.843 -2.45785,-79.84292 -2.64357))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018694-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh5gtf
title: Occurrence Download

description: A dataset containing 158404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.55723 12.89702,-86.59671 12.89702,-86.59671 15.85754,-89.55723 15.85754,-89.55723 15.20765,-89.55723 12.89702))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 158404 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018659-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4t3rfr
title: Occurrence Download

description: A dataset containing 631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.73787 14.28713,-89.34938 14.13173,-89.08984 14.11577,-88.90909 14.43142,-89.02749 14.94571,-89.31052 14.92181,-89.40858 14.77921,-89.43818 14.59052,-89.55559 14.60112,-89.73787 14.28713))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aulacorhynchus prasinus (Gould, 1833)"
 ]
}

 The dataset includes 631 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018695-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q89j7b
title: Occurrence Download

description: A dataset containing 7788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Ebenaceae"
 ]
}

 The dataset includes 7788 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018696-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13026/pdxv-m215
title: Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection

description: Glaucomatous optic neuropathy (GON) is a leading cause of irreversible
blindness worldwide, affecting an estimated 64.3 million people globally with
projections reaching 111.8 million by 2040. Approximately 50% of cases remain
undiagnosed until advanced stages when vision loss becomes noticeable.
Traditional diagnosis requires comprehensive ophthalmic examinations by
specialists, creating accessibility barriers in many regions.

The Hillel Yaffe Glaucoma Dataset (HYGD) addresses a critical limitation in
existing GON datasets: the lack of gold-standard annotations. Unlike most
publicly available datasets where glaucoma labels are determined solely from
digital fundus images (DFIs), HYGD's labels are based on comprehensive
ophthalmic examinations, including visual acuity assessment, intraocular
pressure measurement, optical coherence tomography (OCT), visual field tests,
and at least one year of follow-up monitoring.

The dataset is structured to include both the DFIs and a labels file
containing patient IDs, GON classifications and image quality scores. All DFIs
were taken using a TOPCON DRI OCT Triton retinal camera with a 45° FOV and
underwent deidentification and standardization processing.

HYGD enables researchers to train and benchmark models on rigorously annotated
data, potentially improving their reliability. This dataset serves as a
valuable resource for developing generalizable models that can function across
diverse patient populations and clinical settings, ultimately supporting
earlier detection and treatment of GON.
DOI: 10.13026/z0ak-km33
title: Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection

description: Glaucomatous optic neuropathy (GON) is a leading cause of irreversible
blindness worldwide, affecting an estimated 64.3 million people globally with
projections reaching 111.8 million by 2040. Approximately 50% of cases remain
undiagnosed until advanced stages when vision loss becomes noticeable.
Traditional diagnosis requires comprehensive ophthalmic examinations by
specialists, creating accessibility barriers in many regions.

The Hillel Yaffe Glaucoma Dataset (HYGD) addresses a critical limitation in
existing GON datasets: the lack of gold-standard annotations. Unlike most
publicly available datasets where glaucoma labels are determined solely from
digital fundus images (DFIs), HYGD's labels are based on comprehensive
ophthalmic examinations, including visual acuity assessment, intraocular
pressure measurement, optical coherence tomography (OCT), visual field tests,
and at least one year of follow-up monitoring.

The dataset is structured to include both the DFIs and a labels file
containing patient IDs, GON classifications and image quality scores. All DFIs
were taken using a TOPCON DRI OCT Triton retinal camera with a 45° FOV and
underwent deidentification and standardization processing.

HYGD enables researchers to train and benchmark models on rigorously annotated
data, potentially improving their reliability. This dataset serves as a
valuable resource for developing generalizable models that can function across
diverse patient populations and clinical settings, ultimately supporting
earlier detection and treatment of GON.
DOI: 10.15468/dl.x3nhcx
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018697-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u98vwq
title: Occurrence Download

description: A dataset containing 3667422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-97.55948 18.94578,-95.33734 17.43799,-92.46481 17.64024,-93.11239 18.41963,-94.31326 18.17381,-95.27567 18.83318,-95.98813 19.07832,-97.76652 21.72927,-98.60764 20.79786,-97.55948 18.94578))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3667422 records from 1176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018636-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14473/csda/4iu3hg
title: Kvalitativní výzkum s pražskými domácnostmi o plýtvání potravinami
title: Prague Food Waste

description: Polostrukturované hloubkové rozhovory probíhaly v rámci projektu Prague food waste, ve kterém se mimo jiné analyzovalo chování pražských domácností. Rozhovory podpořily zjištění z dotazníkového šetření a rozboru směsného komunálního odpadu, který probíhal ve stejných pražských čtvrtích, jako bylo trvalé bydliště zapojených respondentů. Celkem byly provedeny rozhovory se 20 respondenty zastupující Dubeč, Chodov, Sídliště Řepy, Petrovice, Průhonice a Hostivař.
Výzkum byl součástí projektu "Zjištění objemu potravinového odpadu vyprodukovaného domácnostmi a vybranými typy příspěvkových organizací v hlavním městě Praze v kontextu využitelnosti těchto dat pro ohlašovací povinnost a snižování množství potravinového odpadu".
description: MS EXCEL, null
description: Prague Food Waste
DOI: 10.15468/dl.fjmcee
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psittacanthus flavoviridis Eichler"
 ]
}

 The dataset includes 39 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022092-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16901799
title: Electrometry data for Bodoc, Covasna, Romania, October 2024

description: VES, Apparent resistivity data, Schlumberger array, 6 lines, MN distance 2 m
DOI: 10.5281/zenodo.16901798
title: Electrometry data for Bodoc, Covasna, Romania, October 2024

description: VES, Apparent resistivity data, Schlumberger array, 6 lines, MN distance 2 m
DOI: 10.15468/dl.swyj7x
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Mauritania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025195-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp8yrr
title: Occurrence Download

description: A dataset containing 9558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9558 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025196-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vxnb9
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-76.93927 -12.04442,-76.93815 -12.04592,-76.94278 -12.05501,-76.94495 -12.05634,-76.95699 -12.06097,-76.97193 -12.06626,-76.98196 -12.07095,-76.98826 -12.0715,-76.98737 -12.07267,-76.98347 -12.07278,-76.9804 -12.07217,-76.97461 -12.06966,-76.97232 -12.06972,-76.97087 -12.06782,-76.96859 -12.0671,-76.96652 -12.06621,-76.96407 -12.06543,-76.96179 -12.06431,-76.95978 -12.06398,-76.95861 -12.06309,-76.95404 -12.06225,-76.9488 -12.05997,-76.94323 -12.0569,-76.94105 -12.05411,-76.93704 -12.04653,-76.93732 -12.04386,-76.93927 -12.04442))"
 ]
}

 The dataset includes 551 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021444-250525065834625/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.29203895
title: Dados para Construção do Índice Composto de Irracionalidade (ICI) Durante a Bolha das Empresas Ponto Com (1998–2002)

description: Este conjunto de dados foi utilizado na monografia de Gabriella Regina de Souza. A pesquisa tem por objetivo analisar como os vieses cognitivos — excesso de confiança, narrativa, confirmação e comportamento de manada — influenciaram o comportamento dos investidores durante a formação e o colapso da bolha das empresas ponto com, entre 1998 e 2002.Os dados empíricos consistem em séries temporais dos índices NASDAQ, S&P 500, Dow Jones e VIX, extraídas do portal Investing.com. As variáveis foram processadas para construção do Índice Composto de Irracionalidade (ICI), com base em proxies para cada viés cognitivo. .O conjunto está estruturado de forma a permitir replicação, extensão e aplicação do modelo proposto a outros períodos históricos. Esta publicação visa contribuir para o avanço das pesquisas em finanças comportamentais e análise de ciclos especulativos nos mercados financeiros.
DOI: 10.6084/m9.figshare.29203895.v1
title: Dados para Construção do Índice Composto de Irracionalidade (ICI) Durante a Bolha das Empresas Ponto Com (1998–2002)

description: Este conjunto de dados foi utilizado na monografia de Gabriella Regina de Souza. A pesquisa tem por objetivo analisar como os vieses cognitivos — excesso de confiança, narrativa, confirmação e comportamento de manada — influenciaram o comportamento dos investidores durante a formação e o colapso da bolha das empresas ponto com, entre 1998 e 2002.Os dados empíricos consistem em séries temporais dos índices NASDAQ, S&P 500, Dow Jones e VIX, extraídas do portal Investing.com. As variáveis foram processadas para construção do Índice Composto de Irracionalidade (ICI), com base em proxies para cada viés cognitivo. .O conjunto está estruturado de forma a permitir replicação, extensão e aplicação do modelo proposto a outros períodos históricos. Esta publicação visa contribuir para o avanço das pesquisas em finanças comportamentais e análise de ciclos especulativos nos mercados financeiros.
DOI: 10.15468/dl.eah67y
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapinoma magnum Mayr, 1861"
 ]
}

 The dataset includes 285 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010563-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpahwn
title: Occurrence Download

description: A dataset containing 273042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pistacia lentiscus"
 ]
}

 The dataset includes 273042 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049949-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wxqs4
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cercis siliquastrum",
 "Country is Georgia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 96 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050001-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9wbf6
title: Occurrence Download

description: A dataset listing the 4783 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Lithuania",
 "OccurrenceStatus is Present",
 "Year is 2021"
 ]
}

 The dataset's 4783 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025269-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw3fy5
title: Occurrence Download

description: A dataset containing 68536 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liriodendron tulipifera"
 ]
}

 The dataset includes 68536 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025194-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597530
title: शान्ति  शिक्षा  के समक्ष  जटिलताए
DOI: 10.5281/zenodo.15597531
title: शान्ति  शिक्षा  के समक्ष  जटिलताए
DOI: 10.15468/dl.5kwm74
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oophaga granulifera (Taylor, 1958)"
 ]
}

 The dataset includes 561 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014705-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpj9jm
title: Occurrence Download

description: A dataset containing 100901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.31842 42.30636,-3.7276 42.30636,-3.7276 42.45329,-4.31842 42.45329,-4.31842 42.30636))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 100901 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018497-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b23fyz
title: Occurrence Download

description: A dataset containing 53095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is a41250f0-7c3e-11d8-a19c-b8a03c50a862",
 "DatasetName ~*Hudson Bay Lowlands Project"
 ]
}

 The dataset includes 53095 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018520-250525065834625/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/12050888
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.k2ad6g
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes detritus (Haliday, 1833)"
 ]
}

 The dataset's 4 records were derived from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018526-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y488e
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.16_1",
 "TaxonKey is one of (Elateridae, Opuntia engelmannii Salm-Dyck ex Engelm.)"
 ]
}

 The dataset's 10 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018523-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.keuk2x
title: Occurrence Download

description: A dataset containing 191446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Anser rossii Cassin, 1861)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 191446 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018503-250525065834625/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/12050904
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.6wyhks
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018531-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15576404
title: 6 shed

description: 📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation-Number of classes: 10-Number of picture: 332-Annotation source: Roboflow-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── data.yaml├── README.dataset.txt └── README.roboflow.txt
DOI: 10.5281/zenodo.15576405
title: 6 shed

description: 📦 Segmentation Dataset 

This repository contains a dataset labeled with Roboflow in YOLOv8 segmentation format, designed for detecting and segmenting different types of terrain surfaces and obstacle negotiability.

📄 Format

-Export format: YOLOv8 Segmentation-Number of classes: 10-Number of picture: 332-Annotation source: Roboflow-Annotation type: Masks for segmentation tasks

🏷️ Available Classes

| ID | Label       | Description                                |----|-------------|--------------------------------------------|| 0  | `concrete`   | Hard surface, pavement or concrete         | 1  | `dirtroad`   | Dirt road or path                          | 2  | `grass`       | Grass or grassy terrain                    | 3  | `gravel`      | Gravel surface or loose rocky path         | 4  | `NS`           | Not traversable (Non-Surmountable)         | 5  | `S50`         | 50% Surmountable slope                     | 6  | `S75`         | 75% Surmountable slope                     | 7  | `S100`       | Fully Surmountable (100%)                  | 8  | `wood`      | Wooden surface

These classes are meant to support the training of terrain perception models, especially for legged robots operating in unstructured environments.

📁 Dataset Structure

dataset/├── train/ # Training images and labels├── valid/ # Validation images and labels├── test/ # Test images and labels├── data.yaml├── README.dataset.txt └── README.roboflow.txt