cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive145713.20250331.9.3
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0133867.10fu
title: SH0133867.10FU

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: 10.13145/bacdive145713.20251217.10
title: Streptococcus agalactiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive145714.20230509.8.1
title: Moraxella osloensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0133868.10fu
title: SH0133868.10FU

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: 10.5281/zenodo.15093456
title: Indian Coin Denomination Dataset

description: Description:

The Indian Coin Denomination Dataset is a comprehensive collection of images depicting various denominations of Indian currency coins. This dataset has been meticulously curated to assist practitioners in developing advanced computer vision models for the detection, recognition, and classification of Indian coins based on their denominations. The dataset focuses on coins currently in circulation as of December 2021, offering a rich variety of conditions that closely resemble real-world scenarios.

Download Dataset

Inspiration:

The primary motivation behind this dataset is to foster the development of innovative computer vision solutions for automated currency recognition, which is a critical need in many industries, including retail, banking, and vending machine technologies. The Indian Coin Denomination Dataset provides a well-organized and detailed foundation for training models to accurately identify and classify coins based on their denominations.

Dataset Content: The dataset comprises high-resolution images of Indian coins of the following denominations: One (1) Rupee, Two (2) Rupees, Five (5) Rupees, Ten (10) Rupees, and Twenty (20) Rupees. Only one side of each coin-the tail side, which clearly displays the denomination-is captured in this dataset. The images were collected using a mobile device, with the coins placed on a white A4-sized sheet of paper to provide a clean and consistent background for improved visual clarity.

Sampling and Variations:

A total of 30 distinct coins were sampled, representing the full spectrum of denominations included in the dataset. The breakdown of the coin samples is as follows:



7 One Rupee coins

4 Two Rupee coins

9 Five Rupee coins

6 Ten Rupee coins

4 Twenty Rupee coins


Each coin was photographed from 5 different viewing angles and under 3 different lighting conditions, including variations in brightness and shadow intensity. Every combination of viewing angle and lighting condition was captured twice, resulting in a total of 900 images. The dataset is well-balanced across the denominations, with each class represented as follows:



One Rupee: 210 images

Two Rupees: 120 images

Five Rupees: 270 images

Ten Rupees: 180 images

Twenty Rupees: 120 images

Data Collection Process:


The dataset was created using a controlled environment to ensure uniformity across the images. Coins were placed on a flat surface (white A4 paper), and photos were taken using a mobile phone camera to simulate a common data collection scenario. Images have a resolution of 3000 x 4000 pixels, providing high levels of detail that facilitate accurate classification and detection tasks.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15093457
title: Indian Coin Denomination Dataset

description: Description:

The Indian Coin Denomination Dataset is a comprehensive collection of images depicting various denominations of Indian currency coins. This dataset has been meticulously curated to assist practitioners in developing advanced computer vision models for the detection, recognition, and classification of Indian coins based on their denominations. The dataset focuses on coins currently in circulation as of December 2021, offering a rich variety of conditions that closely resemble real-world scenarios.

Download Dataset

Inspiration:

The primary motivation behind this dataset is to foster the development of innovative computer vision solutions for automated currency recognition, which is a critical need in many industries, including retail, banking, and vending machine technologies. The Indian Coin Denomination Dataset provides a well-organized and detailed foundation for training models to accurately identify and classify coins based on their denominations.

Dataset Content: The dataset comprises high-resolution images of Indian coins of the following denominations: One (1) Rupee, Two (2) Rupees, Five (5) Rupees, Ten (10) Rupees, and Twenty (20) Rupees. Only one side of each coin-the tail side, which clearly displays the denomination-is captured in this dataset. The images were collected using a mobile device, with the coins placed on a white A4-sized sheet of paper to provide a clean and consistent background for improved visual clarity.

Sampling and Variations:

A total of 30 distinct coins were sampled, representing the full spectrum of denominations included in the dataset. The breakdown of the coin samples is as follows:



7 One Rupee coins

4 Two Rupee coins

9 Five Rupee coins

6 Ten Rupee coins

4 Twenty Rupee coins


Each coin was photographed from 5 different viewing angles and under 3 different lighting conditions, including variations in brightness and shadow intensity. Every combination of viewing angle and lighting condition was captured twice, resulting in a total of 900 images. The dataset is well-balanced across the denominations, with each class represented as follows:



One Rupee: 210 images

Two Rupees: 120 images

Five Rupees: 270 images

Ten Rupees: 180 images

Twenty Rupees: 120 images

Data Collection Process:


The dataset was created using a controlled environment to ensure uniformity across the images. Coins were placed on a flat surface (white A4 paper), and photos were taken using a mobile phone camera to simulate a common data collection scenario. Images have a resolution of 3000 x 4000 pixels, providing high levels of detail that facilitate accurate classification and detection tasks.

This dataset is sourced from Kaggle.
DOI: 10.15468/dl.zgz4gm
title: Occurrence Download

description: A dataset containing 71672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Duttaphrynus melanostictus (Schneider, 1799)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 71672 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003192-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010151
title: The Impact of Sex, Age and Race on the Immunogenicity of Meningococcal Serogroup B Vaccination in Healthy Infants, Children, Adolescents and Young Adults: A Systematic Review and Meta-Analysis

description: The immune system is our body’s defense mechanism against germs like bacteria and viruses. This defense system also plays a crucial role when we get vaccinated. Men and women can experience different strengths of immune responses to germs and vaccines due to their biological differences and differences in demographic factors such as sex, age and ethnicity. Generally, men are associated with weaker immune responses, while women tend to have stronger immune responses. These differences are not only noticeable in natural immune responses but also in how men and women respond to vaccines. Studies have shown that women vaccinated with only half a dose of a flu vaccine can achieve an immune response comparable to that of men vaccinated with a standard dose. Similarly, for other vaccines, such as measles-mumps-rubella and hepatitis A/B vaccination, women exhibit stronger immune responses. However, it remains unclear what the impact is of sex, age and ethnicity on the immune response, elicited by meningococcal B vaccines (Bexsero and Trumenba).

Both Bexsero and Trumenba are licensed for more than 10 years in Europe, the United States, Australia and other countries. Both vaccines help to protect vaccinated individuals against the Meningococcus B bacterium. Meningococcus B is a type of bacteria that can lead to serious, and sometimes life-threatening, infections such as meningitis (inflammation of structures covering the brain and spinal cord) and sepsis (blood poisoning). Meningococcus B infection is rare and most common in young children, babies, and teenagers. Therefore, this meta-analysis will assess the impact of sex, age and ethnicity on the immune response elicited by both meningococcal B vaccines, in healthy infants (<1 year of age), children (1-12 years of age), adolescents (13-17 years of age) and young adults (18-24 years of age).
DOI: 10.15468/dl.hjq9gc
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Edalorhina perezi Jiménez de la Espada, 1870",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 595 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003193-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3md3gk
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elachistocleis cesarii (Miranda-Ribeiro, 1920)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 151 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003194-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6ty8g
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleutherodactylus atkinsi Dunn, 1925",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 358 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003195-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc6haa
title: Occurrence Download

description: A dataset containing 7116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GbifRegion is Latin America and the Caribbean",
 "Geometry POLYGON((-81.72128 1.43057,-69.56144 -3.57642,-66.36191 5.22979,-72.78022 19.31269,-79.21778 13.59041,-78.43507 8.11293,-81.72128 1.43057))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is f072f648-b8a4-47a0-9e1c-89d790645b5a",
 "TaxonKey is Rhizophora mangle L."
 ]
}

 The dataset includes 7116 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003196-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5zph2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleutherodactylus goini Schwartz, 1960",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003197-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39467c
title: Occurrence Download

description: A dataset containing 8929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleutherodactylus planirostris (Cope, 1862)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8929 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003198-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjnehp
title: Occurrence Download

description: A dataset containing 2773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engystomops petersi Jiménez de la Espada, 1872",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2773 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003199-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2kaf6
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipedobates espinosai (Funkhouser, 1956)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 434 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003200-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15093506
title: cat and dog
DOI: 10.5281/zenodo.15093507
title: cat and dog
DOI: 10.15468/dl.q6jtx2
title: Occurrence Download

description: A dataset containing 2127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphlyctis cyanophlyctis (Schneider, 1799)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2127 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003202-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/xpe1-e969
title: real Retinal Image Sequence Registration (RISeR-real) dataset

description: RISeR-real contains 10 longitudinal retinal image sequences. Each sequence consists of 5 or 6 retinal images. And each retinal image sequence has no presence of any other fundus diseases except the obvious myopia onset and progression. We manually annotate 12 sets of control points for each retinal image sequence for quantitatively evaluating the registration accuracy. Note: A more detailed description can be found in our upcoming paper, coming soon!
DOI: 10.15468/dl.zu7cm9
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euproctus platycephalus (Gravenhorst, 1829)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 60 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003203-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvxp58
title: Occurrence Download

description: A dataset containing 8208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((114.90551 6.93211,109.74684 4.16137,108.19104 -2.13951,121.785 -7.75937,125.306 -6.29657,128.09005 -0.41366,129.28316 3.83545,114.90551 6.93211))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2007-2007"
 ]
}

 The dataset includes 8208 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003205-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx2326
title: Occurrence Download

description: A dataset containing 12714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eurycea cirrigera (Green, 1831)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12714 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003206-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa7qzf
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Exerodonta xera (Mendelson & Campbell, 1994)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003207-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg4vu7
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.26935 5.25924,-75.27177 5.1785,-75.18827 5.13872,-75.11808 5.14354,-75.0128 5.21224,-74.92688 5.2737,-74.91841 5.30141,-74.9414 5.3966,-74.97408 5.39539,-75.07573 5.40503,-75.16891 5.41346,-75.2512 5.38214,-75.26935 5.25924))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 167 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003208-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s53tb7
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fejervarya moodiei (Taylor, 1920)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 264 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003209-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15093103
title: Global Kilometer-level Spatiotemporal Continuous Surface Soil Moisture Dataset (1992-1997)

description: Document Title: Global 1km Surface Soil Moisture Dataset (1980-2023) DocumentationVersion: 1.0Date: March 1, 2025

Dataset Overview

This dataset is a global 1km surface soil moisture product independently developed by the research team led by Prof. Zhaoliang Li and Prof. Pei Leng at the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences. The original data source is the ESA-CCI active-passive fused soil moisture product. The dataset integrates multi-source reanalysis and assimilation data to reduce uncertainties and fill missing values in the original ESA-CCI product. Key methodologies include:

(1) Triple Collocation Analysis (TCA) for fusing ERA5, GLEAM, and GLDAS soil moisture data.

(2) Downscaling from 25 km to 1 km resolution using subgrid variability modeling with SoilGrids high-resolution soil texture data and the Van Genuchten-Mualem model.

(3) Validation via ground observations from the International Soil Moisture Network (ISMN), achieving an unbiased root mean square error (ubRMSE) of 0.051 m³/m³.

Dataset Specifications

· Name: Global Kilometer-Level Spatiotemporally Continuous Surface Soil Moisture Dataset (1980–2023)

· Format: NetCDF

· Coordinate System: WGS84 Geographic Coordinate System

· Temporal Coverage: January 1, 1980 – December 31, 2023

· Spatiotemporal Resolution: 1km/10-day (Please be advised that due to limitations regarding data upload capacity, users requiring daily data are kindly requested to contact us: lengpei@caas.cn)

· Data Source: ESA-CCI Soil Moisture Product

Data Organization

· File Naming Convention: yyyymm_xxxx.nc (e.g., 198001_early.nc represents Early January 1980).

· Units: Volumetric soil moisture content (m³/m³).

· Storage Details:

o Data is stored as int16 to optimize space.

o To obtain actual values, multiply stored data by 0.001 (e.g., a pixel value of 327 corresponds to 0.327 m³/m³).