cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29877167.v1
title: <b>Evaluating AI generated question banks for UK medical licensing examination preparation: An observational study</b>

description: Introduction: Artificial intelligence has become increasingly accessible, however its application for undergraduate medical examination preparation is still being investigated. This study determines if ChatGPT-4o is able to generate multiple-choice practice questions with a good level of content accuracy for medical students preparing for the UK medical licensing assessment applied knowledge test (UKMLA AKT).Methods: This is a descriptive observational study. ChatGPT-4o was requested to generate UKMLA applied knowledge test questions using 3 different commands. 40 practice multiple choice questions were generated by each command and evaluated by 3 physicians registered with the General Medical Council. Questions were evaluated for content accuracy, topics in line with the UKMLA content map and question focus with respect to diagnosis, investigation, management and prescribing.Results: ChatGPT-4o generated multiple choice questions with an overall content accuracy of 81.67%. No statistically significant difference was seen between commands for content accuracy and cohen’s kappa statistic demonstrated good inter-rater reliability (0.834, 95% CI, 0.716 to 0.951). Without prompting for topic, 15.0% and 13.75% of questions were generated on the cardiovascular and respiratory system respectively. Specifying topics from the UKMLA content map increased the diversity of question topics generated. Additionally, questions produced predominantly concerned the diagnosis and management of conditions.Discussion: ChatGPT-4o was able to generate multiple-choice practice questions for the UKMLA AKT with a good level of content accuracy. A tendency to produce questions on the cardiovascular and respiratory system was demonstrated. Questions generally focused on diagnosis and management of conditions unless prompted. Careful adjustments of prompts successfully increased the diversity of practice questions generated. This study demonstrated that ChatGPT-4o can be used to generate question banks for medical students preparing for national licensing examinations with close human oversight.
DOI: 10.5281/zenodo.16784935
title: ClimTip ESM simulations D7.1 & D8.1 - monthly data

description: For a detailed documentation of the dataset, see pdf file. This data concerns ClimTip project Deliverables 7.1 (AMOC hosing) and 8.1 (Amazon rainforest removal).
DOI: 10.15468/dl.zzf9n4
title: Occurrence Download

description: A dataset containing 1057 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoatherina temminckii"
 ]
}

 The dataset includes 1057 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034917-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf36ed
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vitis vinifera sylvestris"
 ]
}

 The dataset includes 796 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034918-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s56u8r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna comosa",
 "Year 2005-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034919-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4u4rfy
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAV4739"
 ]
}

 The dataset includes 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034920-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16789269
title: Rare Animal Fine-Grained Visual Classification (FGVC) Benchmark

description: # Rare Animal Fine-Grained Visual Classification (FGVC) Benchmark


## Overview


This benchmark contains four fine-grained visual classification datasets for rare animal species: **Bear**, **Turtle**, **Python**, and **Panther**. It was developed to support research in low-shot learning environments, particularly for applications in biodiversity conservation and wildlife protection.


The primary challenge of this benchmark lies in the high morphological similarity between species within each group and the scarcity of data, reflecting real-world conditions. Notably, **33 out of the 40 species** included are not present in the ImageNet-1K dataset, making it a rigorous test for model generalization.


This dataset was created as part of the undergraduate thesis "Enhancing Rare Animal Image Classification Performance Using Diffusion-Based Augmentation" at Ton Duc Thang University.


**Authors:** Ly Phi Hoc, Le Quang Duy

**Advisor:** Mr. Tran Minh Tuan

**Institution:** Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam.


## Dataset Structure


The benchmark is organized into four main directories, one for each animal group. Each group contains 10 distinct species.


-   **Total Animal Groups:** 4 (Bear, Turtle, Python, Panther)

-   **Total Species:** 40

-   **Images per Species:** 200

-   **Total Images:** 8,000

-   **Data Split:** Each species has 100 images for training and 100 for testing, located in `train` and `test` subdirectories, respectively.


The directory structure is as follows:

```

<ANIMAL_GROUP>/

├── train/

│   ├── <SPECIES_NAME_1>/

│   │   ├── image_001.jpg

│   │   └── ...

│   └── <SPECIES_NAME_2>/

│       └── ...

└── test/

├── <SPECIES_NAME_1>/

│   └── ...

└── <SPECIES_NAME_2>/

└── ...

```

## Collection and Curation


The images were meticulously collected to evaluate data augmentation strategies in low-shot scenarios. The selection process was guided by two main criteria:

1.  **Conservation Status:** Prioritizing species with a concerning global conservation status.

2.  **Morphological Similarity:** Choosing species within each group that exhibit subtle visual differences to create a challenging FGVC task.


## License


This dataset is made available under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. You are free to share and adapt the material for any purpose, even commercially, as long as you give appropriate credit.
DOI: 10.5281/zenodo.16789270
title: Rare Animal Fine-Grained Visual Classification (FGVC) Benchmark

description: # Rare Animal Fine-Grained Visual Classification (FGVC) Benchmark


## Overview


This benchmark contains four fine-grained visual classification datasets for rare animal species: **Bear**, **Turtle**, **Python**, and **Panther**. It was developed to support research in low-shot learning environments, particularly for applications in biodiversity conservation and wildlife protection.


The primary challenge of this benchmark lies in the high morphological similarity between species within each group and the scarcity of data, reflecting real-world conditions. Notably, **33 out of the 40 species** included are not present in the ImageNet-1K dataset, making it a rigorous test for model generalization.


This dataset was created as part of the undergraduate thesis "Enhancing Rare Animal Image Classification Performance Using Diffusion-Based Augmentation" at Ton Duc Thang University.


**Authors:** Ly Phi Hoc, Le Quang Duy

**Advisor:** Mr. Tran Minh Tuan

**Institution:** Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam.


## Dataset Structure


The benchmark is organized into four main directories, one for each animal group. Each group contains 10 distinct species.


-   **Total Animal Groups:** 4 (Bear, Turtle, Python, Panther)

-   **Total Species:** 40

-   **Images per Species:** 200

-   **Total Images:** 8,000

-   **Data Split:** Each species has 100 images for training and 100 for testing, located in `train` and `test` subdirectories, respectively.


The directory structure is as follows:

```

<ANIMAL_GROUP>/

├── train/

│   ├── <SPECIES_NAME_1>/

│   │   ├── image_001.jpg

│   │   └── ...

│   └── <SPECIES_NAME_2>/

│       └── ...

└── test/

├── <SPECIES_NAME_1>/

│   └── ...

└── <SPECIES_NAME_2>/

└── ...

```

## Collection and Curation


The images were meticulously collected to evaluate data augmentation strategies in low-shot scenarios. The selection process was guided by two main criteria:

1.  **Conservation Status:** Prioritizing species with a concerning global conservation status.

2.  **Morphological Similarity:** Choosing species within each group that exhibit subtle visual differences to create a challenging FGVC task.


## License


This dataset is made available under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. You are free to share and adapt the material for any purpose, even commercially, as long as you give appropriate credit.
DOI: 10.15468/dl.pwms8s
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atherina afra"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034921-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fed3vg
title: Occurrence Download

description: A dataset listing the 3702 species recorded in GBIF matching the query:
{
 "GadmGid" : [
 "is UKR.13_1"
 ]
}

 The dataset's 3702 records were derived from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034916-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cud3b
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoatherina uisila"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034922-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jexgh3
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Dracaena cochinchinensis"
 ]
}

 The dataset includes 59 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034924-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42phqc
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoatherina gobio"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034923-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24xfnk
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen, Living Specimen)",
 "Geometry POLYGON((-20.19666 -1.08488,15.19666 -1.08488,15.19666 13.08488,-20.19666 13.08488,-20.19666 -1.08488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astylosternus laticephalus"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034925-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2k8ef
title: Occurrence Download

description: A dataset containing 90911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.24915 57.2853,-4.71388 57.2853,-4.71388 57.70266,-5.24915 57.70266,-5.24915 57.2853))",
 "HasGeospatialIssue is false",
 "Year 1983-2025"
 ]
}

 The dataset includes 90911 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034914-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6592w
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vigna luteola, Vigna racemosa, Vigna reticulata, Vigna frutescens, Vigna frutescens kotschyi, Vigna frutescens frutescens, Vigna frutescens incana, Vigna frutescens buchneri, Vigna gracilis)",
 "Year 2015-2025"
 ]
}

 The dataset includes 570 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034926-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16789248
title: Datasets and Codes used for the analysis of Long Distance 2001 and 2022 Datasets.
DOI: 10.5281/zenodo.16789249
title: Datasets and Codes used for the analysis of Long Distance 2001 and 2022 Datasets.
DOI: 10.15468/dl.yy44y9
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoatherina cylindrica"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034927-250802193616735/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.28450583
title: dataset_Mouchetetal_2025_viability_selection_giraffe_spot_patterns

description: Dataset for Mouchet et al. 2025 containing:encounter history for 8 years of the population of Masai giraffesindividual traits: sex, life-stage, mean distance to edge of study area or of protected area, coat spot traits
DOI: 10.6084/m9.figshare.28450583.v1
title: dataset_Mouchetetal_2025_viability_selection_giraffe_spot_patterns

description: Dataset for Mouchet et al. 2025 containing:encounter history for 8 years of the population of Masai giraffesindividual traits: sex, life-stage, mean distance to edge of study area or of protected area, coat spot traits
DOI: 10.6084/m9.figshare.28450547
title: temperature_anomalies_Mouchetetal_2025_viability_selection_giraffe_spot_patterns

description: This file contains the land surface temperature anomaly values for each year and season of the study (Mouchet et al. 2025).
DOI: 10.6084/m9.figshare.28450547.v1
title: temperature_anomalies_Mouchetetal_2025_viability_selection_giraffe_spot_patterns

description: This file contains the land surface temperature anomaly values for each year and season of the study (Mouchet et al. 2025).
DOI: 10.15468/dl.3z2fyj
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Senegal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Adansonia digitata L."
 ]
}

 The dataset includes 296 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017887-250426092105405/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.28797596
title: Schwartz et al. The Contribution of Red Blood Cell Desaturation to Exercising Skeletal Muscle Vasodilation Heterogeneity. Manuscript Data

description: Experimentally challenging muscle blood flow during exercise requires cardiovascular compensation to protect the matching of oxygen delivery to oxygen demand; however, certain individuals may fail to protect this matching due to an absence of compensatory vasodilation at the local vasculature. We investigated whether red blood cell (RBC) desaturation explains the underlying presence of compensatory vasodilation. Further, prior studies were completed in males, and we sought to elucidate whether biological sex impacts this relationship. The University of Toronto Health Sciences research ethics board approved this study (#41525) according to the terms of the Declaration of Helsinki and all participants provided written informed consent before their participation. 40 healthy individuals (23±5 yrs, 50% female) completed four-minutes of submaximal forearm handgrip exercise at 30% maximum voluntary contraction both with and without brachial artery compression reducing forearm blood velocity by 30% and challenging muscle blood flow. Measures of forearm blood flow (ml/min), blood pressure (mmHg) and RBC desaturation (skeletal muscle oxygen saturation, %) were obtained throughout. Forearm vascular conductance (FVC, ml/min/100mmHg) following challenged exercise greater than 1.96 the coefficient of variation of unchallenged exercise represented the presence of compensatory vasodilation. Data are ∆ from rest (mean±SD). 26 individuals responded with compensatory vasodilation while 14 individuals did not (49±20 vs. 0±4 %FVC, p&lt;0.001). RBC desaturation was greater in individuals responding with compensatory vasodilation (-22±9 vs. -5±4 %oxygen, p&lt;0.001) and was negatively correlated with FVC (rs=-0.819, p&lt;0.001). Sex had no effect on the presence of compensatory vasodilation (p=0.507), nor on the extent (p=0.506) or rate (p=0.857) of RBC desaturation during the muscle blood flow challenge. The presence/absence of compensatory vasodilation following a muscle blood flow challenge appears to be proportional between sex and associated with local RBC desaturation.
DOI: 10.17036/researchdata.aston.ac.uk.00000640
title: Performance and confusion effects for gist perception of scenes: an investigation of expertise, viewpoint, and image categories
DOI: 10.15468/dl.yv2gga
title: Occurrence Download

description: A dataset containing 126031 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Occurrence Dataset"
 ]
}

 The dataset includes 126031 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017884-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xssbf
title: Occurrence Download

description: A dataset containing 85259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Lao People’s Democratic Republic",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 85259 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017883-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hyc3j
title: Occurrence Download

description: A dataset containing 2559375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bucephala clangula (Linnaeus, 1758)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 2559375 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017862-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f25hrt
title: Occurrence Download

description: A dataset containing 65514 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aedes aegypti (Linnaeus, 1762))"
 ]
}

 The dataset includes 65514 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017885-250426092105405/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/11700368
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.jfgyr9
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Côte d’Ivoire",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Garcinia kola Heckel"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017891-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udbc7m
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Radlkoferotoma Kuntze"
 ]
}

 The dataset includes 33 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017892-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ea3ez
title: Occurrence Download

description: A dataset containing 11519841 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is one of (Malaysia, Indonesia, Philippines)"
 ]
}

 The dataset includes 11519841 records from 3103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017807-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5n7wz9
title: Occurrence Download

description: A dataset containing 1448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Gluta L."
 ]
}

 The dataset includes 1448 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001490-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.