cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48668/mu3mfc/uag7tm
title: USSR_1958_ZS_1958-07_page_4_547_546_545.png

description: :unav
DOI: 10.48668/mu3mfc/gbwm5r
title: USSR_1958_ZS_1958-08_page_3_471_470_469.png

description: :unav
DOI: 10.48668/mu3mfc/x0eecu
title: USSR_1958_ZS_1958-08_page_24_519_518_517.png

description: :unav
DOI: 10.48668/mu3mfc/gqpnjd
title: USSR_1958_ZS_1958-07_page_34_559_558_557.png

description: :unav
DOI: 10.48668/mu3mfc/d0yvsl
title: USSR_1958_ZS_1958-03_page_31_1003_1002_1000.png

description: :unav
DOI: 10.48668/mu3mfc/5mmujg
title: USSR_1958_ZS_1958-05_page_60_740_739_738.png

description: :unav
DOI: 10.48668/mu3mfc/o1sxnu
title: USSR_1958_ZS_1958-03_page_29_1004_1003_1001.png

description: :unav
DOI: 10.48668/mu3mfc/hgeyvk
title: USSR_1958_ZS_1958-02_page_46_1089_1088_1069.png

description: :unav
DOI: 10.48668/mu3mfc/609bbe
title: USSR_1958_ZS_1958-08_page_35_43_42_41.png

description: :unav
DOI: 10.48668/mu3mfc/mpnflg
title: USSR_1958_ZS_1958-01_page_24_1217_1216_1171.png

description: :unav
DOI: 10.48668/mu3mfc/rt32qi
title: USSR_1958_ZS_1958-02_page_44_1094_1093_1073.png

description: :unav
DOI: 10.48668/mu3mfc/n6h4np
title: USSR_1958_ZS_1958-02_page_17_1150_1149_1250.png

description: :unav
DOI: 10.48668/mu3mfc/ggalvm
title: USSR_1958_ZS_1958-01_page_45_1220_1219_1264.png

description: :unav
DOI: 10.48668/mu3mfc/xvdqgb
title: USSR_1958_ZS_1958-02_page_32_1116_1115_1090.png

description: :unav
DOI: 10.48668/mu3mfc/gtlkua
title: USSR_1958_ZS_1958-06_page_37_690_689_688.png

description: :unav
DOI: 10.48668/mu3mfc/c9vxru
title: USSR_1958_ZS_1958-04_page_20_913_912_911.png

description: :unav
DOI: 10.48668/mu3mfc/jnqx0r
title: USSR_1958_ZS_1958-02_page_9_1040_1039_1228.png

description: :unav
DOI: 10.48668/mu3mfc/wqfm1t
title: USSR_1958_ZS_1958-02_page_19_1145_1144_1249.png

description: :unav
DOI: 10.48668/mu3mfc/lxwra7
title: USSR_1958_ZS_1958-06_page_34_685_684_683.png

description: :unav
DOI: 10.15468/dl.csf5rf
title: Occurrence Download

description: A dataset containing 1841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus setaceus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1841 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018202-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2x8cq
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphibalanus poecilotheca (Kruger, 1911)"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112613-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5bdb6
title: Occurrence Download

description: A dataset containing 1004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lekanesphaera hookeri (Leach, 1814)"
 ]
}

 The dataset includes 1004 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122466-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnpm4j
title: Occurrence Download

description: A dataset containing 209333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Heliotropiaceae)"
 ]
}

 The dataset includes 209333 records from 1289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158510-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spwqbv
title: Occurrence Download

description: A dataset containing 516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphibalanus variegatus (Darwin, 1854)"
 ]
}

 The dataset includes 516 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112616-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vm959v
title: Occurrence Download

description: A dataset containing 3466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carcharhinus amblyrhynchos (Bleeker, 1856)",
 "Year 1960-2022"
 ]
}

 The dataset includes 3466 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122457-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9tmk6
title: Occurrence Download

description: A dataset containing 1247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bos grunniens Linnaeus, 1766"
 ]
}

 The dataset includes 1247 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247279-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxmd8h
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lekanesphaera levii (Argano & Ponticelli, 1981)"
 ]
}

 The dataset includes 124 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122467-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qe3k6
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "Country is one of (Mexico, Brazil, Colombia, Ecuador, Panama, Honduras, Nicaragua, Costa Rica, Bolivia (Plurinational State of), Puerto Rico, Venezuela (Bolivarian Republic of), Paraguay, Peru, Dominican Republic, Bonaire, Sint Eustatius and Saba, United States of America, El Salvador, Guatemala, Guyana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coffea arabica L.",
 "Year 1991-2022"
 ]
}

 The dataset includes 367 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112618-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmrbsc
title: Occurrence Download

description: A dataset containing 72309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-6.62084 37.01757,-6.12745 35.86465,-4.65902 36.1023,-4.74125 36.99881,-5.72804 37.52239,-6.62084 37.01757))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 72309 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240096-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28rfkr
title: Occurrence Download

description: A dataset containing 14834823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2018",
 "Month is July"
 ]
}

 The dataset includes 14834823 records from 4950 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002864-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh4ecv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Brachycephalus vertebralis Pombal, 2001"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281347-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hu79a
title: Occurrence Download

description: A dataset containing 2510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera tigris (Linnaeus, 1758)"
 ]
}

 The dataset includes 2510 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262457-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28stta
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isopedella pessleri (Thorell, 1870)"
 ]
}

 The dataset includes 187 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035125-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w928hu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Parastrephia lucida (Meyen) Cabrera"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009775-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.estv7x
title: Occurrence Download

description: A dataset containing 1864640 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cerambycidae"
 ]
}

 The dataset includes 1864640 records from 2878 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002572-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2857bmj4ms.1
title: Anomalous Mercury Enrichment Driven by Organic Matter Degradation in Early Cambrian Black Shales, Nanhua Basin

description: The dataset includes all the experimental data in the article as well as the TOC/P data collected from the Nanhua Basin.
DOI: 10.5281/zenodo.16276403
title: Green Bean Leaf Disease Dataset
DOI: 10.5281/zenodo.16276404
title: Green Bean Leaf Disease Dataset
DOI: 10.17632/vxnyysk9vc
title: Type-2 Diabetes (Bangladeshi Patients)

description: This dataset comprises data collected from the Pabna Diabetes Hospital, Pabna, Bangladesh, as part of a study aimed at developing predictive models for accurately classifying diabetes patients using machine learning (ML) and deep learning (DL) techniques. The dataset is notable for its diverse demographic representation, making it valuable for training robust ML models.

Data Collection:
- Source: Pabna Diabetes Hospital, Pabna, Bangladesh.
- Method: Retrospective collection.
- Anonymization: All data underwent rigorous anonymization to ensure confidentiality and privacy.
- Informed Consent: Obtained from all participants following the ethical guidelines of the Pabna Diabetes Hospital (Ref No.: CERT/PADAS/PAB-64).

Dataset Composition:
 - Total Participants: 465 female patients aged 21 years or older.
 - Diabetic Patients: 373
 - Non-Diabetic Patients: 92
 - Patients with Serum Insulin Data: 131
 - Patients without Serum Insulin Data: 334
 - Patients with Genetic Predisposition: 293
 - Patients without Genetic Predisposition: 172

Variables:
- Number of pregnancies
- Age
- BMI (Body Mass Index)
- Systolic and Diastolic Blood Pressures
- Genetic Information
- Serum Insulin Levels
- Triceps Skinfold Thickness
- Plasma Glucose Concentration (after 2 hours in an oral glucose tolerance test)
- Diabetes Status (Diabetic or Non-Diabetic)

Research Implications:
The dataset supports the development and validation of ML and DL models for diabetes classification, leveraging local healthcare data to enhance model generalization across diverse populations.

Publication Reference:
M.S. Reza et al., "Heliyon," 10 (2024): e24536.

Please cite this papers when using this dataset. 

Tanim, S. A., Shrestha, T. E., Emon, M. R. I., Mridha, M. F., & Miah, M. S. U. (2025). Explainable deep learning for diabetes diagnosis with DeepNetX2. Biomedical Signal Processing and Control, 99, 106902.

Alam, G. M. I., Tanim, S. A., Shrestha, T. E., Raihan, M., & Nur, K. (2024, June). Deep Learning Approach with eXplainable Artificial Intelligence Interpretation for Early-Stage Diabetes Detection. In International Conference on Data Analytics & Management (pp. 289-302). Singapore: Springer Nature Singapore.
DOI: 10.17632/vxnyysk9vc.3
title: Type-2 Diabetes (Bangladeshi Patients)

description: This dataset comprises data collected from the Pabna Diabetes Hospital, Pabna, Bangladesh, as part of a study aimed at developing predictive models for accurately classifying diabetes patients using machine learning (ML) and deep learning (DL) techniques. The dataset is notable for its diverse demographic representation, making it valuable for training robust ML models.

Data Collection:
- Source: Pabna Diabetes Hospital, Pabna, Bangladesh.
- Method: Retrospective collection.
- Anonymization: All data underwent rigorous anonymization to ensure confidentiality and privacy.
- Informed Consent: Obtained from all participants following the ethical guidelines of the Pabna Diabetes Hospital (Ref No.: CERT/PADAS/PAB-64).

Dataset Composition:
 - Total Participants: 465 female patients aged 21 years or older.
 - Diabetic Patients: 373
 - Non-Diabetic Patients: 92
 - Patients with Serum Insulin Data: 131
 - Patients without Serum Insulin Data: 334
 - Patients with Genetic Predisposition: 293
 - Patients without Genetic Predisposition: 172

Variables:
- Number of pregnancies
- Age
- BMI (Body Mass Index)
- Systolic and Diastolic Blood Pressures
- Genetic Information
- Serum Insulin Levels
- Triceps Skinfold Thickness
- Plasma Glucose Concentration (after 2 hours in an oral glucose tolerance test)
- Diabetes Status (Diabetic or Non-Diabetic)

Research Implications:
The dataset supports the development and validation of ML and DL models for diabetes classification, leveraging local healthcare data to enhance model generalization across diverse populations.

Publication Reference:
M.S. Reza et al., "Heliyon," 10 (2024): e24536.

Please cite this papers when using this dataset. 

Tanim, S. A., Shrestha, T. E., Emon, M. R. I., Mridha, M. F., & Miah, M. S. U. (2025). Explainable deep learning for diabetes diagnosis with DeepNetX2. Biomedical Signal Processing and Control, 99, 106902.

Alam, G. M. I., Tanim, S. A., Shrestha, T. E., Raihan, M., & Nur, K. (2024, June). Deep Learning Approach with eXplainable Artificial Intelligence Interpretation for Early-Stage Diabetes Detection. In International Conference on Data Analytics & Management (pp. 289-302). Singapore: Springer Nature Singapore.
DOI: 10.15468/dl.mnzbna
title: Occurrence Download

description: A dataset containing 60896 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabidopsis arenosa"
 ]
}

 The dataset includes 60896 records from 389 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022717-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87c5qz
title: Occurrence Download

description: A dataset containing 0 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 (Euphonia hirundinacea)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022810-250717081556266/datasets/export for details.
DOI: 10.17632/nwzcm9ckrt
title: A Diffusion Model-Generated Forest Fire Dataset

description: This dataset consists of 2,204 AI-generated images, created using a Stable Diffusion model. The images are organized into two distinct folders:

Fire: Contains 1,102 images depicting synthetic representations of forest fires.
Non-Fire: Contains 1,102 images showing various forest scenes without any fire activity.
Each image has a resolution of 150x150 pixels, optimized for use in machine learning tasks such as classification, detection, and environmental monitoring.

Purpose
The dataset is intended to aid research and development in areas such as:

Forest fire detection and prevention using AI.
Benchmarking deep learning models for image classification tasks.
Studying the environmental impact of forest fires.

Key Features
Generated with Stable Diffusion, ensuring high-quality and varied synthetic visuals.
Balanced dataset structure (equal representation of fire and non-fire images).
Small image size (150x150), suitable for lightweight model training and testing.

When using this dataset, please cite the following paper:

Alam, G. M. I., Tasnia, N., Biswas, T., Hossen, M. J., Tanim, S. A., & Miah, M. S. U. (2025). Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques. IEEE Access.
DOI: 10.15468/dl.8e7cr5
title: Occurrence Download

description: A dataset containing 0 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 (Euphonia hirundinacea)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022809-250717081556266/datasets/export for details.
DOI: 10.17632/nwzcm9ckrt.2
title: A Diffusion Model-Generated Forest Fire Dataset

description: This dataset consists of 2,204 AI-generated images, created using a Stable Diffusion model. The images are organized into two distinct folders:

Fire: Contains 1,102 images depicting synthetic representations of forest fires.
Non-Fire: Contains 1,102 images showing various forest scenes without any fire activity.
Each image has a resolution of 150x150 pixels, optimized for use in machine learning tasks such as classification, detection, and environmental monitoring.

Purpose
The dataset is intended to aid research and development in areas such as:

Forest fire detection and prevention using AI.
Benchmarking deep learning models for image classification tasks.
Studying the environmental impact of forest fires.

Key Features
Generated with Stable Diffusion, ensuring high-quality and varied synthetic visuals.
Balanced dataset structure (equal representation of fire and non-fire images).
Small image size (150x150), suitable for lightweight model training and testing.

When using this dataset, please cite the following paper:

Alam, G. M. I., Tasnia, N., Biswas, T., Hossen, M. J., Tanim, S. A., & Miah, M. S. U. (2025). Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques. IEEE Access.
DOI: 10.15468/dl.bmf68f
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callistemon viminalis",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 578 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022811-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17866/rd.salford.6182642
title: Ball by ball test match cricket data 1998-2006

description: Ball by ball data for cricket test matches between 1998 and 2006 inclusive in which a target was set for the team batting last. These are secondary data.
DOI: 10.17866/rd.salford.6182642.v1
title: Ball by ball test match cricket data 1998-2006

description: Ball by ball data for cricket test matches between 1998 and 2006 inclusive in which a target was set for the team batting last. These are secondary data.
DOI: 10.17632/8gw8sskx8r.1
title: Economic and Comorbidity Burden of Prurigo Nodularis in the US between 2017 and 2022, a Retrospective Matched Cohort Study Journal of the American Academy of Dermatology: Supplemental Materials

description: This is the supplemental materials for the manuscript " Economic and Comorbidity Burden of Prurigo Nodularis in the US between 2017 and 2022, a Retrospective Matched Cohort Study
Journal of the American Academy of Dermatology" published in JAAD
DOI: 10.15468/dl.jum5d9
title: Occurrence Download

description: A dataset containing 3275356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emberiza schoeniclus"
 ]
}

 The dataset includes 3275356 records from 2381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022673-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wh9xw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrognathus siamensis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008226-251009101135966/datasets/export for details.