cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18368290
title: Men-Women Dataset for Binary Image Classification

description: This dataset contains images used in the monograph titled Zastosowanie wybranych metod uczenia głębokiego w wizji komputerowej (Application of Selected Deep Learning Methods in Computer Vision) to build classification models. The dataset was prepared based on the original Human Images Dataset – Men and Women available on Kaggle (https://www.kaggle.com/datasets/snmahsa/human-images-dataset-men-and-women). From the original collection, 800 images belonging to each class (man, woman) were used (1,600 images in total). Example images are shown in this Figure: https://drive.google.com/file/d/1byMQyluFyCkNWVsFMbmPzpbfUW-SkZZz/view?usp=drive_link. The images were scaled while maintaining their aspect ratio so that the longer side is equal to 300 pixels. The set was randomly divided into a training part (50% of the full set), validation and test part (each accounted for 25% of the full set). As a result, the training part contains 800 files, validation part – 400 and test part – 400. The dataset can be used to build models for image classification.
DOI: 10.5281/zenodo.18367889
title: Dataset and Code for: Physics-Informed Full-Field Strain Reconstruction in Large-Format Lithium-Ion Batteries Using Distributed Optical Fiber Sensing

description: This repository contains the dataset and source code associated with the research paper "Physics-Informed Full-Field Strain Reconstruction in Large-Format Lithium-Ion Batteries Using Distributed Optical Fiber Sensing", published in Cell Reports Physical Science.

The dataset includes:





Battery charge-discharge cycling data.




Distributed strain data acquired via optical fiber sensing.
DOI: 10.5281/zenodo.18367890
title: Dataset and Code for: Physics-Informed Full-Field Strain Reconstruction in Large-Format Lithium-Ion Batteries Using Distributed Optical Fiber Sensing

description: This repository contains the dataset and source code associated with the research paper "Physics-Informed Full-Field Strain Reconstruction in Large-Format Lithium-Ion Batteries Using Distributed Optical Fiber Sensing", published in Cell Reports Physical Science.

The dataset includes:





Battery charge-discharge cycling data.




Distributed strain data acquired via optical fiber sensing.
DOI: 10.5281/zenodo.18368220
title: Three Worlds: Resolving the Black Hole Information Paradox with Cosmic Rebirth

description: The black hole information paradox arises from the apparent conflict between unitary quantum evolution and the thermal nature of Hawking radiation. We resolve this tension by recognizing that spacetime itself bifurcates into three causally autonomous domains during gravitational collapse: (I) the exterior universe, (II) the black hole interior, and (III) a new expanding spacetime born from the singularity. Within this “Three Worlds” framework, information is not lost but partitioned: it enters World II, where tidal forces erase all structure until entropy vanishes at the singularity, thereby seeding a low-entropy Big Bang in World III. Crucially, the second law of thermodynamics holds independently in each world when formulated within causal diamonds. The model predicts a testable observational signature: anisotropic dark energy fluctuations around sites of former low-spin black holes, with magnitude inversely proportional to the square of the black hole mass and spatial scale growing as the cube root of cosmic time. Upcoming surveys (Euclid, Roman, SKA) can probe this signal within the next decade. By linking black hole physics to cosmic origins, the framework explains both the information paradox and the low-entropy initial condition of our universe—without firewalls, remnants, or holographic duality—offering a minimal, falsifiable, and cosmologically rich resolution.
DOI: 10.5281/zenodo.18367815
title: The Effect of Cooking Competitions

description: The aim of this study was to determine the intention of university students studying gastronomy to participate in cooking competitions within the framework of the theory of planned behavior extended by academic achievement and to examine its effect on their professional commitment. The research data were collected online via Google Forms between June and July 2025. Using a combination of convenience and snowball sampling methods, a total of 645 valid questionnaires were obtained. Analyses conducted using Structural Equation Modeling revealed that attitudes toward cooking competitions and perceived behavioral control positively influenced students' intention to participate in cooking competitions, while subjective norms and academic achievement had no significant effect. However, it was found that subjective norms indirectly affect behavioral intention through attitude, while academic achievement does so through perceived behavioral control. Furthermore, it was concluded that the intention to participate in cooking competitions can increase students' levels of professional commitment.
DOI: 10.5281/zenodo.18367816
title: The Effect of Cooking Competitions

description: The aim of this study was to determine the intention of university students studying gastronomy to participate in cooking competitions within the framework of the theory of planned behavior extended by academic achievement and to examine its effect on their professional commitment. The research data were collected online via Google Forms between June and July 2025. Using a combination of convenience and snowball sampling methods, a total of 645 valid questionnaires were obtained. Analyses conducted using Structural Equation Modeling revealed that attitudes toward cooking competitions and perceived behavioral control positively influenced students' intention to participate in cooking competitions, while subjective norms and academic achievement had no significant effect. However, it was found that subjective norms indirectly affect behavioral intention through attitude, while academic achievement does so through perceived behavioral control. Furthermore, it was concluded that the intention to participate in cooking competitions can increase students' levels of professional commitment.
DOI: 10.5281/zenodo.18367154
title: Raw data supporting the study: Prebiotic-like and antioxidant properties of Pereskia aculeata leaf mucilage in the modulation of skin-associated bacteria

description: This repository contains the raw and processed datasets (Excel files) supporting the findings reported in the manuscript entitled “Prebiotic-like and antioxidant properties of Pereskia aculeata leaf mucilage in the modulation of skin-associated bacteria”, submitted to the Journal of Applied Microbiology. The data include experimental measurements and statistical analyses used to generate the results presented in the study.
DOI: 10.5281/zenodo.18367155
title: Raw data supporting the study: Prebiotic-like and antioxidant properties of Pereskia aculeata leaf mucilage in the modulation of skin-associated bacteria

description: This repository contains the raw and processed datasets (Excel files) supporting the findings reported in the manuscript entitled “Prebiotic-like and antioxidant properties of Pereskia aculeata leaf mucilage in the modulation of skin-associated bacteria”, submitted to the Journal of Applied Microbiology. The data include experimental measurements and statistical analyses used to generate the results presented in the study.
DOI: 10.15468/dl.uy4dym
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acicarpha tribuloides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 437 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010960-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utmeqt
title: Occurrence Download

description: A dataset containing 9694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((-1.39261 44.51291,0.46801 44.33738,-0.19901 47.3214,-2.34048 47.74267,-2.16495 46.54906,-1.39261 44.51291))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyla meridionalis"
 ]
}

 The dataset includes 9694 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010961-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhcauq
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Tenodera sinensis Saussure, 1871",
 "Year 1023-2025"
 ]
}

 The dataset includes 1127 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016536-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my85sb
title: Occurrence Download

description: A dataset containing 22404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuniculus paca (Linnaeus, 1766)"
 ]
}

 The dataset includes 22404 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016535-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acjcbd
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/0016537-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjnrdc
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample, Material citation)",
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Luciola cruciata Motschulsky, 1854",
 "Year 1023-2025"
 ]
}

 The dataset includes 213 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016538-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkugqz
title: Occurrence Download

description: A dataset containing 87333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Passer montanus (Linnaeus, 1758)",
 "Year 1023-2025"
 ]
}

 The dataset includes 87333 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016516-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tugem
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 (Sittasomus griseicapillus (Vieillot, 1818))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016540-250525065834625/datasets/export for details.
DOI: 10.15468/dl.z7xz8d
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-91.31695 42.22961,-92.23513 40.0029,-91.56276 37.21121,-89.44428 36.96172,-87.91006 38.62669,-86.20075 40.92957,-87.0573 42.22961,-91.31695 42.22961))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciurus niger Linnaeus, 1758",
 "Year 1000-1960"
 ]
}

 The dataset includes 85 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016539-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnrcvr
title: Occurrence Download

description: A dataset containing 1818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-97.22275 19.12541,-96.70918 19.12541,-96.70918 19.65688,-97.22275 19.65688,-97.22275 19.12541))",
 "TaxonKey is Apocynaceae"
 ]
}

 The dataset includes 1818 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016542-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15580165
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602x Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602x Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15580166
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602x Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602x Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.vv5znd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.2593 -20.2058,35.9648 -19.5556,35.9648 -16.1504,26.9648 -16.1504,26.9648 -25.1504,35.1352 -25.1504,35.2524 -25.1064,35.8302 -24.5319,35.9648 -24.1383,35.9648 -21.4413,35.6073 -21.0389,35.2593 -20.2058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010230-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nzcjyr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rottboellia cochinchinensis (Lour.) Clayton",
 "Country is Fiji"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010231-250525065834625/datasets/export for details.
DOI: 10.17632/jh9trvbjbv
title: BraNet: A mobil Application for Breast image classification based on Deep Learning algorithms.

description: Mobile health apps are widely used for breast cancer detection and diagnosis. Artificial intelligence plays a crucial role in developing medical tools, providing radiologists with second opinions, and reducing false diagnoses. Aim: This study aims to develop an open-source mobile app, named "BraNet," for 2D breast imaging segmentation and classification using deep learning algorithms. Methods: The BraNet app was developed using the React Native framework, offering a modular deep learning pipeline for mammography and ultrasound breast imaging classification. This application operates on a client-server architecture and was implemented in Python for iOS and Android devices. It performs image analysis, extracts masks, and classifies them into benign or malignant classes. The components include data loading, Region of Interest (RoI) extraction, segmentation, classification, and statistical evaluation. 

Description
The development of a mobile application for Android and iOS devices is proposed, in which breast ultrasound or mammography images are loaded, then a segmenter is used to extract the regions of interest (ROI) (optional), finally a classifier algorithm is applied to these to determine if the image is benign or malignant.

Languages used
TypeScript
JavaScript
Python 3.11
Tools/Frameworks used
Figma
VS Code
Jupyter Notebooks
Flask
PyTorch 2.0.1
React Native 0.71
Database and cloud plataforms
Google Firebase
Google Cloud
DOI: 10.17632/rzmvs27k66
title: Dataset of Comparative Analysis of Dengue Fever and Virus Query Responses from ChatGPT, Google Bard, Google Search, and Bing in Bangla

description: Dengue fever poses a significant health challenge in Bangladesh, exacerbated by the country's conducive environment for the disease. To address the public's concerns about dengue symptoms, transmission, and treatment, many are turning to web search engines and chatbots like Google, Bing, BARD, and ChatGPT since smartphone and Internet users are regularly increasing in Bangladesh. A questionnaire-based dataset has been developed using these tools to provide comprehensive information. These chatbots, powered by Large Language Models (LLMs), offer content in Bengali, catering to the local population's preference for their native language. The study aims to compare the accuracy of responses from these digital platforms, utilizing ChatGPT-3.5 due to the inaccessibility of GPT-4. This research is significant for understanding public confusion and misinformation regarding dengue, as observed in various media in Bangladesh. This study introduces the 'Dengue Query Dataset Bangla', a meticulously curated dataset derived from queries observed in printed news media, television podcasts, and talk shows. It offers a comprehensive overview of the key questions and areas of confusion surrounding the recent dengue outbreak in Bangladesh. This dataset serves as a valuable resource, consolidating answers to various aspects of dengue in a single, accessible location.

Each file in the dataset is in MS Excel (.xlsx) format, containing a total of 310 queries and corresponding responses in 17 sheets with 5 columns each. These sheets comprehensively cover a range of topics related to dengue. Each Excel file in the dataset is structured (as sheets) to address the following related topics concerning dengue:
1. Signs And Symptoms Related
2. Current Situation Related
3. Post-Dengue Implications Related
4. Treatment Related
5. Dengue Prevention Related
6. Economical Effect Related
7. Dengue Research Related
8. Child Care Related
9. Dengue Lifecycle And Gene Structure Related
10. Dengue And Other Diseases Related
11. Dengue And Social Crisis Related
12. Dengue And Mass Media Related
13. Dengue And International Organizations Related
14. Dengue, AI, And E-Hospital Service Related
15. Dengue And New Therapies Related
16. Dengue Tests Related
17. Dengue Vaccine Related

Each of the sheets contains 5 columns as follows:
1. Questions: This column lists validated questions in Bangla.

2. Answer: Responses from the corresponding search engine/chatbot in Bangla.

4. Correctness: Measures the authenticity of responses from the corresponding search engine/chatbot where the scoring are: 1- Correct, 2- Nearly Correct, and 3- Irrelevant

5. Fluency: Evaluates the fluidity of responses from the corresponding search engine/chatbot where the scoring are: 1- Amazing, 2-Good, 3- Average, 4- somehow understandable, and 5-not understandable.

6. Goal Achieved Status: Assesses if the expected answer was obtained. Scored as 1 if the answer meets the target goal and 0 otherwise.
DOI: 10.17632/ycmggp8d4n
title: Mendeley Supplemental Table 5: OSATS Global Rating Scale Neurotox Filler

description: Final global rating scale for evaluation of performance of the facial cosmetic injection of botulinum toxin and soft tissue filler.
DOI: 10.17632/7g7prvwwnf
title: Data for: PFOA and PFOS Diffusion through Geomembranes at Multiple Temperatures

description: Data collected in PFAS diffusion tests