cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z79xht
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus altissimus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028606-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h328spxcc7.1
title: 2025_Comunicación entre Servidores y Consumo de APIs

description: Los estudiantes aprenderán a establecer comunicación entre dos servidores virtuales, exponer un servicio web básico en uno de ellos y consumirlo desde el otro, utilizando herramientas gratuitas y de código abierto.
DOI: 10.17632/bp37vw4z8d
title: External Eye Photographs for Screening Referable Blepharitis

description: This dataset contains external eye photographs curated from publicly available web sources to support research on screening referable blepharitis using camera-only images. 
Intended use: Benchmark binary classification of blepharitis vs normal on external photographs.
DOI: 10.17632/bp37vw4z8d.1
title: External Eye Photographs for Screening Referable Blepharitis

description: This dataset contains external eye photographs curated from publicly available web sources to support research on screening referable blepharitis using camera-only images. 
Intended use: Benchmark binary classification of blepharitis vs normal on external photographs.
DOI: 10.17632/853nntv39p
title: Data for Survey of Digital Banking Adoption in Mae Hong Son Thailand

description: This dataset, collected in March 2024 from 426 rural farm households in Mae Hong Son province, Thailand, was designed to examine the key factors influencing digital banking adoption among small-scale farmers. Guided by the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), the study tests the hypothesis that the 5S framework—Subsidy, Security, Signal, Satisfaction, and Socio-demographic factors—significantly affects both the likelihood of adoption (analyzed using probit models) and the intra-household adopter ratio (analyzed using tobit models).
DOI: 10.17632/853nntv39p.1
title: Data for Survey of Digital Banking Adoption in Mae Hong Son Thailand

description: This dataset, collected in March 2024 from 426 rural farm households in Mae Hong Son province, Thailand, was designed to examine the key factors influencing digital banking adoption among small-scale farmers. Guided by the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), the study tests the hypothesis that the 5S framework—Subsidy, Security, Signal, Satisfaction, and Socio-demographic factors—significantly affects both the likelihood of adoption (analyzed using probit models) and the intra-household adopter ratio (analyzed using tobit models).
DOI: 10.17632/fvtkcb6khz
title: 2025_SistemasDistribuidos_Laboratorio2

description: Los estudiantes aprenderán a establecer comunicación entre dos servidores virtuales, exponer un servicio web básico en uno de ellos y consumirlo desde el otro, utilizando herramientas gratuitas y de código abierto.
DOI: 10.17632/fvtkcb6khz.1
title: 2025_SistemasDistribuidos_Laboratorio2

description: Los estudiantes aprenderán a establecer comunicación entre dos servidores virtuales, exponer un servicio web básico en uno de ellos y consumirlo desde el otro, utilizando herramientas gratuitas y de código abierto.
DOI: 10.17632/6xpsjtxrr4
title: Deep Learning-Driven Identification of Parasitic Eggs in Pets Using YOLOv8

description: The dataset and associated source code employed in this study serve as the foundation for the automatic detection of parasitic eggs in fecal samples. The dataset is organized in the \dataset directory and contains microscopic images of parasitic eggs annotated in the YOLO format to facilitate supervised training. Detailed documentation of the program structure and implementation is provided in the accompanying readme.docx file, which outlines the directory organization, data flow, and code execution procedures.
DOI: 10.15468/dl.7aman7
title: Occurrence Download

description: A dataset containing 269691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "GadmGid is IDN.2_1",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 269691 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028511-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rxerx
title: Occurrence Download

description: A dataset containing 239969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "GadmGid is one of (IDN.20_1, IDN.21_1, TLS)",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 239969 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028510-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6xpsjtxrr4.1
title: Deep Learning-Driven Identification of Parasitic Eggs in Pets Using YOLOv8

description: The dataset and associated source code employed in this study serve as the foundation for the automatic detection of parasitic eggs in fecal samples. The dataset is organized in the \dataset directory and contains microscopic images of parasitic eggs annotated in the YOLO format to facilitate supervised training. Detailed documentation of the program structure and implementation is provided in the accompanying readme.docx file, which outlines the directory organization, data flow, and code execution procedures.
DOI: 10.5281/zenodo.17223161
title: Sex and Limb Dominance Differences in Postural Control Per-formance of Young Adults: A Third-Order Polynomial Decay Approach

description: This dataset was collected as part of a controlled laboratory study investigating postural stability and motor control in young adults. It includes comprehensive experimental records from 66 male and 60 female participants.

 

The dataset consists of two main formats:

 

1. Raw data files (.dat): Original experimental recordings from motion capture and force platform systems.

2. Processed data files (.xlsx): Containing key stability indices and derived measures, including:

 

TTS (Time to Stabilization)

DPSI (Dynamic Postural Stability Index)

RDIST (Root Mean Square Distance)

TOTEX (Total Excursions)

AREA-CE (95% Confidence Ellipse Area)

 

This dataset offers valuable resources for researchers interested in biomechanics, motor control, rehabilitation, and related fields. It provides high-quality data that may be reused for validation, comparative studies, or the development of novel analytical approaches.
DOI: 10.17632/9rwhv2zsxx
title: 2025_Plantilla para el Análisis y Solución de Problemas

description: Este trabajo presenta el desarrollo de un programa en Java que permite calcular el promedio de una serie de números enteros ingresados por el usuario. El programa admite un máximo de diez valores y detiene la captura en caso de que se ingrese un número negativo, el cual no se considera en el cálculo. El objetivo principal es mostrar el proceso metodológico de análisis, diseño, implementación y prueba de un algoritmo sencillo de promedio condicionado.
DOI: 10.5281/zenodo.17223160
title: Sex and Limb Dominance Differences in Postural Control Per-formance of Young Adults: A Third-Order Polynomial Decay Approach

description: This dataset was collected as part of a controlled laboratory study investigating postural stability and motor control in young adults. It includes comprehensive experimental records from 66 male and 60 female participants.

 

The dataset consists of two main formats:

 

1. Raw data files (.dat): Original experimental recordings from motion capture and force platform systems.

2. Processed data files (.xlsx): Containing key stability indices and derived measures, including:

 

TTS (Time to Stabilization)

DPSI (Dynamic Postural Stability Index)

RDIST (Root Mean Square Distance)

TOTEX (Total Excursions)

AREA-CE (95% Confidence Ellipse Area)

 

This dataset offers valuable resources for researchers interested in biomechanics, motor control, rehabilitation, and related fields. It provides high-quality data that may be reused for validation, comparative studies, or the development of novel analytical approaches.
DOI: 10.17632/9rwhv2zsxx.1
title: 2025_Plantilla para el Análisis y Solución de Problemas

description: Este trabajo presenta el desarrollo de un programa en Java que permite calcular el promedio de una serie de números enteros ingresados por el usuario. El programa admite un máximo de diez valores y detiene la captura en caso de que se ingrese un número negativo, el cual no se considera en el cálculo. El objetivo principal es mostrar el proceso metodológico de análisis, diseño, implementación y prueba de un algoritmo sencillo de promedio condicionado.
DOI: 10.17632/55bszfhjmc
title: The First Report and Investigation of a SARS-CoV-2-Induced Multisystem Inflammatory Syndrome in Children (MIS-C) Fatal Case in China

description: Figures and clinical data of article.
DOI: 10.17632/55bszfhjmc.1
title: The First Report and Investigation of a SARS-CoV-2-Induced Multisystem Inflammatory Syndrome in Children (MIS-C) Fatal Case in China

description: Figures and clinical data of article.
DOI: 10.17026/ar/2r3gvw
title: Lauwersmeerdijk-Vierhuizergat. Inventariserend Veldonderzoek (opwaterfase)
title: Periplus Archeomare rapport 18A001-01

description: In opdracht van MUG Ingenieursbureau heeft Periplus Archeomare B.V. in samenwerking met DEEP B.V. een archeologisch inventariserend veldonderzoek (opwaterfase) uitgevoerd voor een plangebied in de Waddenzee ten oosten van Lauwersoog. Aan geen van de waargenomen side scan sonar- of magnetometer contacten is een archeologische verwachting toegekend. Op basis van deze conclusie wordt geadviseerd om het plangebied vrij te geven voor de voorgenomen werkzaamheden.&lt;br&gt;
In totaal is 120 hectare waterbodem onderzocht met side scan sonar en magnetometer. Het oostelijk deel (67 hectare) van het plangebied was te ondiep (minder dan één meter) om metingen uit te voeren. Dit deel van het gebied is daarom visueel geïnspecteerd met laag water.&lt;br&gt;
In het onderzoeksgebied zijn in totaal 26 individuele contacten met side scan sonar aangetroffen. Deze contacten bestaan uit bodemverstoringen, boeiankers, mosselbanken en kleine recente objecten die verloren of gedumpt zijn.
DOI: 10.17632/r8mwd7m6b2
title: Supplementary material for "Bioactive Compound Profile and Nutrition Values of Kava Cultivated on Kadavu and Rotuma Regions of Fiji"

description: This dataset contains raw HPLC and CHNS elemental analysis data for supporting the study of "Bioactive Compound Profile and Nutrition Values of Kava Cultivated on Kadavu and Rotuma Regions of Fiji".
DOI: 10.17632/r8mwd7m6b2.1
title: Supplementary material for "Bioactive Compound Profile and Nutrition Values of Kava Cultivated on Kadavu and Rotuma Regions of Fiji"

description: This dataset contains raw HPLC and CHNS elemental analysis data for supporting the study of "Bioactive Compound Profile and Nutrition Values of Kava Cultivated on Kadavu and Rotuma Regions of Fiji".
DOI: 10.25934/pr00010840.0
title: Available datapackage for study 'Interventional, Randomized, Double-blind, Placebo-controlled, Active-reference (Fluoxetine), Fixed-dose Study of Vortioxetine in Paediatric Patients Aged 7 to 11 Years, With Major Depressive Disorder (MDD)'

description: Investigation of the efficacy and safety of a new potential treatment of Major depressive disorder (MDD) in paediatric participants (age 7 to 11 years).
DOI: 10.17632/v45hr8x8cj.1
title: Supplemental Material: Tolerability and Efficacy of Unorthodox Dosing Regimens of Tofacitinib and Baricitinib in Pediatric Patients with Moderate to Severe Alopecia Areata

description: 1. Research Hypothesis
This study tested the core hypothesis: over a 24-week treatment period, tofacitinib and baricitinib, administered via unorthodox weight-stratified dosing regimens, would exhibit comparable efficacy and tolerability in pediatric patients aged 2–17 years with moderate-to-severe AA.
2. Notable Findings
2.1 Comparable Overall Efficacy with Subtle Differences
Over 24 weeks, the two drugs showed no significant differences in primary efficacy endpoints (all P&gt;0.05), supporting the hypothesis of comparable efficacy under unorthodox dosing. 
2.2 Favorable Tolerability with Pediatric-Specific AE Profiles
Both drugs were well-tolerated in pediatric patients, with no serious AEs and low discontinuation rates. 
2.3 Limitations of Unorthodox Dosing for Baricitinib
The unorthodox BID regimen for baricitinib (2 mg BID) resulted in a lower SALT ≤20 response rate in severe AA (30.77%) compared to the guideline-recommended 4 mg QD regimen (67.7% in literature). This suggests that deviating from guideline dosing may reduce efficacy, likely due to subtherapeutic peak drug concentrations from BID administration, which limits suppression of follicular inflammation.
3. Data Interpretation
3.1 Efficacy: Applicability and Limitations of Unorthodox Dosing
Applicable scenarios: Unorthodox weight-stratified dosing can serve as a short-term (24-week) alternative for pediatric patients who cannot tolerate guideline-recommended doses (e.g., baricitinib 4 mg QD) or require matched dosing frequencies. Tofacitinib may be preferred for patients targeting "significant hair regrowth" (SALT 70 response), while baricitinib could be considered for those pursuing "near-complete regrowth" (given its numerical advantage in SALT 90 response).
Limitations: The reduced efficacy of baricitinib’s unorthodox regimen highlights the priority of guideline-recommended dosing. Unorthodox dosing should only be used in special cases (e.g., poor tolerability in young children) and requires therapeutic drug monitoring (TDM) to adjust doses, ensuring trough concentrations match those of guideline regimens.
3.2 Safety: Risk Profile and Monitoring Priorities
Risk profile: Short-term use of both JAK inhibitors is safe in children, with mild, manageable AEs (acne, transient hepatic enzyme elevations) and no increased risk of serious infections or cardiovascular events. Hematological AEs are less common in children than in adults, reducing concerns about blood-related safety risks.
Monitoring focus: Clinicians should monitor acne in pubertal patients, conduct regular tests for hepatic enzymes, lipids, and creatine kinase (especially in the baricitinib group), and educate caregivers on recognizing mild AEs (e.g., upper respiratory tract infections).
This dataset contains supplemental protocol, 1 supplemental figures, and 1 supplemental tables.
DOI: 10.17632/w8sr775pjb
title: MoringaLeafNet: A Multi-Class Leaf Disease Dataset for Precision Agriculture and Deep Learning Research

description: MoringaLeafNet (Version 4) is a curated, validated, and metadata-rich dataset of Moringa oleifera leaves created to support machine learning, deep learning, and computer vision research in agricultural disease diagnosis. This version incorporates rigorous annotation validation, transparent preprocessing documentation, structured metadata, and improved repository organization to ensure high reproducibility and usability.

The dataset contains 11,268 images across four classes of leaf health and disease, collected from two locations in Bangladesh under natural field conditions:

- Sumi Nursery, Madhupur, Tangail (March–April 2025)
- Rafin Nursery, Birulia, Savar (August–September 2025)

Images were captured using two smartphone devices (iQOO Z9 Turbo and OnePlus 8T), then processed into raw, preprocessed, and augmented versions for flexible research applications.


Primary Classes:
Collection 1 – Sumi Nursery, Tangail (n = 2,228 original)

1. Healthy Leaf – 464 images
2. Yellow Leaf – 624 images
3. Bacterial Leaf Spot – 727 images
4. Cercospora Leaf Spot – 413 images

Collection 2 – Rafin Nursery, Savar (n = 589 original)

1. Healthy Leaf – 133 images
2. Yellow Leaf – 171 images
3. Bacterial Leaf Spot – 130 images
4. Cercospora Leaf Spot – 155 images


Augmentation & Dataset Totals

Biologically realistic augmentation was applied with controlled parameters to balance classes and enhance variability:

- Rotation: –30° to +30°
- Flipping: horizontal and vertical (50% probability)
- Brightness adjustment: 0.8–1.2
- Contrast adjustment: 0.8–1.2

Dataset counts:

- Original images: 2,817
- Preprocessed images: 2,817 
- Augmented images: 8,451 
- Final Total: 11,268 (Preprocessed + Augmented)

Annotation & Validation

- Labeled by an expert agronomist (Prof. Dr. M. A. Rahim, DIU).
- Cross-checked subset (n ≈ 300) yielded 92% agreement (Cohen’s κ = 0.87), confirming reliability.
- Sharpness and visibility criteria were applied to exclude blurred or unclear images.


Preprocessing & Duplicate Removal

Three dataset tiers:

 1. Original Images – raw field images.
 2. Preprocessed Images – resized (*3000 × 3000 px*), background removed, replaced with uniform white.
 3. Augmented Images – balanced dataset with synthetic variability.

Duplicates removed using perceptual hashing (ImageHash v4.3) with manual verification.

- Image Name
- Class Name
- Date
- Location
- Temperature
- Weather
- Device

Repository contents:

- Original Images.zip (raw images from both locations)
- Preprocessed Images.zip (background-standardized images, Savar set)
- Augmented Images.zip (class-balanced set, 8,451 images)
- metadata.csv (structured metadata)

NB: This version does not contain any duplicate images.
DOI: 10.17632/w8sr775pjb.5
title: MoringaLeafNet: A Multi-Class Leaf Disease Dataset for Precision Agriculture and Deep Learning Research

description: MoringaLeafNet (Version 4) is a curated, validated, and metadata-rich dataset of Moringa oleifera leaves created to support machine learning, deep learning, and computer vision research in agricultural disease diagnosis. This version incorporates rigorous annotation validation, transparent preprocessing documentation, structured metadata, and improved repository organization to ensure high reproducibility and usability.

The dataset contains 11,268 images across four classes of leaf health and disease, collected from two locations in Bangladesh under natural field conditions:

- Sumi Nursery, Madhupur, Tangail (March–April 2025)
- Rafin Nursery, Birulia, Savar (August–September 2025)

Images were captured using two smartphone devices (iQOO Z9 Turbo and OnePlus 8T), then processed into raw, preprocessed, and augmented versions for flexible research applications.


Primary Classes:
Collection 1 – Sumi Nursery, Tangail (n = 2,228 original)

1. Healthy Leaf – 464 images
2. Yellow Leaf – 624 images
3. Bacterial Leaf Spot – 727 images
4. Cercospora Leaf Spot – 413 images

Collection 2 – Rafin Nursery, Savar (n = 589 original)

1. Healthy Leaf – 133 images
2. Yellow Leaf – 171 images
3. Bacterial Leaf Spot – 130 images
4. Cercospora Leaf Spot – 155 images


Augmentation & Dataset Totals

Biologically realistic augmentation was applied with controlled parameters to balance classes and enhance variability:

- Rotation: –30° to +30°
- Flipping: horizontal and vertical (50% probability)
- Brightness adjustment: 0.8–1.2
- Contrast adjustment: 0.8–1.2

Dataset counts:

- Original images: 2,817
- Preprocessed images: 2,817 
- Augmented images: 8,451 
- Final Total: 11,268 (Preprocessed + Augmented)

Annotation & Validation

- Labeled by an expert agronomist (Prof. Dr. M. A. Rahim, DIU).
- Cross-checked subset (n ≈ 300) yielded 92% agreement (Cohen’s κ = 0.87), confirming reliability.
- Sharpness and visibility criteria were applied to exclude blurred or unclear images.


Preprocessing & Duplicate Removal

Three dataset tiers:

 1. Original Images – raw field images.
 2. Preprocessed Images – resized (*3000 × 3000 px*), background removed, replaced with uniform white.
 3. Augmented Images – balanced dataset with synthetic variability.

Duplicates removed using perceptual hashing (ImageHash v4.3) with manual verification.

- Image Name
- Class Name
- Date
- Location
- Temperature
- Weather
- Device

Repository contents:

- Original Images.zip (raw images from both locations)
- Preprocessed Images.zip (background-standardized images, Savar set)
- Augmented Images.zip (class-balanced set, 8,451 images)
- metadata.csv (structured metadata)

NB: This version does not contain any duplicate images.
DOI: 10.17632/4ybn2cxxhk
title: Feasibility of Different Exercise Protocols for Improving Archery Accuracy: A Pilot Study

description: Data set for pilot study
DOI: 10.17632/4ybn2cxxhk.1
title: Feasibility of Different Exercise Protocols for Improving Archery Accuracy: A Pilot Study

description: Data set for pilot study
DOI: 10.17632/sgdcys9b82
title: Mycobacterium-Host Screening Identifies Novel Lysosomal Escape Pathways

description: This dataset explores intracellular survival mechanisms of Mycobacterium leprae. Using clinical lesion proteomics, we identified 14 highly expressed T7SS effectors. Genome-wide yeast two-/three-hybrid screening against a macrophage interactome revealed 132 host targets and mapped the first global M. leprae effector–host interaction network. Functional validation defined two conserved lysosomal escape pathways: PPE68–Coro1A preventing phagosome–lysosome fusion, and EsxA–EsxB–CCDC115 disrupting V-ATPase assembly. Comparative M. marinum models confirmed their essential role in survival and pathogenesis. The dataset includes proteomic profiles, interaction matrices, and validation assays, which can be used to investigate host–pathogen interactions and identify therapeutic targets.
DOI: 10.17632/sgdcys9b82.1
title: Mycobacterium-Host Screening Identifies Novel Lysosomal Escape Pathways

description: This dataset explores intracellular survival mechanisms of Mycobacterium leprae. Using clinical lesion proteomics, we identified 14 highly expressed T7SS effectors. Genome-wide yeast two-/three-hybrid screening against a macrophage interactome revealed 132 host targets and mapped the first global M. leprae effector–host interaction network. Functional validation defined two conserved lysosomal escape pathways: PPE68–Coro1A preventing phagosome–lysosome fusion, and EsxA–EsxB–CCDC115 disrupting V-ATPase assembly. Comparative M. marinum models confirmed their essential role in survival and pathogenesis. The dataset includes proteomic profiles, interaction matrices, and validation assays, which can be used to investigate host–pathogen interactions and identify therapeutic targets.
DOI: 10.15468/dl.4knpjb
title: Occurrence Download

description: A dataset containing 432334 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 one of (Briza media)"
 ]
}

 The dataset includes 432334 records from 1782 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028584-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.