cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hg8p8n
title: Occurrence Download

description: A dataset containing 125738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis fulvicauda)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 125738 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014844-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j9n3pggj9v.1
title: Military-affiliated Senators in the Turkish Republican Senate (1961-1980)

description: This dataset is a quantitative component of a research project on "The Role of the Turkish Armed Forces in Turkish Foreign Policy." It focuses on the historical presence of military-affiliated individuals within the Republican Senate of Turkey, which was the upper house of the Turkish parliament between 1961 and 1980.

The dataset provides a comprehensive list and statistical overview of senators who had a military background during this period. The variables included in the dataset are:

Senator's Name: The full name of the senator.

Highest Military Rank: The highest rank the individual attained in the Turkish Armed Forces.

Years of Service in the Senate: The time period during which the individual served as a senator.

Political Party Affiliation: The political party the senator was affiliated with during their term.

Method of Entry into Senate: The specific mechanism by which the individual became a senator (e.g., elected senator, appointed senator, or National Unity Committee member).

The data was compiled through an extensive review of official parliamentary records and biographical information of senators. This dataset is crucial for understanding the institutionalized role of the military in Turkish politics following the 1960 coup, particularly through its formal presence in the legislative branch, and can be used for comparative analysis with military representation in the Grand National Assembly (the lower house).
DOI: 10.57745/qtgyy8
title: Georeferenced, dendrometric and genotypic data for 1333 Pinus nigra ssp. salzmannii trees from native populations in France and Europe

description: ++++++++ English below +++++++++++ Le pin de Salzmann ( Pinus nigra ssp salzmannii) est une sous espèce de pin noir endémique en France et en Espagne, dont l'habitat est protégé dans le cadre de Natura 2000 (Habitat 9530 - Pinèdes (sub)méditerranéennes de pins noirs endémiques). Un programme de recherche a été porté en France à partir de 2008 par INRAE (Unité de recherches Ecologie des Forêts Méditerranéennes), sous l'égide de la région Occitanie (anciennement Languedoc-Roussillon), de l'Office National de Forêts, de la Commission Nationale Ressources Génétiques Forestières (https://crgf.inrae.fr/crgf/), pour caractériser la diversité génétique de ce taxon et en entreprendre la sauvegarde. Cette archive est constituée de deux séries de deux fichiers. La première série contient le fichier "Genotypes_data" et le fichier "Genotypes_metadata". Le fichier "Genotypes_data" contient les données de génotypage microsatellites (13 locus) d'arbres de l'espèce Pinus nigra et de ses sous-espèces, qui ont été utilisés pour caractériser l'originalité génétique du pin de Salzmann. Les 678 génotypes listés sont à la base des analyses de l'article "A comprehensive strategy for the conservation of forest tree genetic diversity: an example with the protected Pinus nigra subsp. salzmannii (Dunal) Franco in France.", par C. Scotti-Saintagne, A. de Sousa Rodrigues, A. Roig, B. Fady (INRAE, URFM, Avignon, France, soumis pour publication à la revue Conservation Genetics. Le fichier "Genotypes_metadata" renseigne l'intitulé des colonnes du fichier "Genotypes_data". La seconde série contient le fichier "Phenotypes_data" et le fichier "Phenotypes_metadata". Le fichier "Phenotypes_data" contient des données de localisation, de dendrologie et d'âge d'arbres de la sous-espèce Pinus nigra salzmannii, étudiés dans le même article soumis à Conservation Genetics pour leur valeur en conservation. Les intitulés des colonnes des 1333 individus listés sont décrits dans le fichier "Phenotypes_metadata".
DOI: 10.15468/dl.y63qhc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinogobius cheni)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014881-250802193616735/datasets/export for details.
DOI: 10.17632/2642s9pv8d
title: HoloLens & LED Screen-Based Handwashing Dataset: Quantitative Analysis and User Experience Data

description: Research Hypothesis, Data Insights, Notable Findings, and Interpretation
Research Hypothesis
The primary hypothesis of this study posits that a mixed reality (MR)-based handwashing activity recognition system, utilizing HoloLens 2 and guided by the World Health Organization (WHO) Handwashing Guidelines (2009), will enhance task performance and user satisfaction compared to traditional desktop-based systems. Specifically, we hypothesize that guided MR conditions will yield higher accuracy in completing the six WHO-defined handwashing steps (palm to palm, palm over dorsum, etc.) and lower cognitive load, as measured by NASA-TLX scores, due to real-time feedback. Additionally, we anticipate that qualitative feedback will reveal improved immersion and usability in MR settings, supported by Igroup Presence Questionnaire (IPQ) and System Usability Scale (SUS) scores.
Dataset Description and Collection
The dataset comprises quantitative and qualitative data from 21 subjects, collected over a 105-minute experimental protocol approved by Nazarbayev University IRB and aligned with the Declaration of Helsinki (2013). It is divided into two categories: a qualitative Excel file and quantitative logs in 21 subject-specific folders (1-21). The qualitative file captures subjective feedback, including SUS (usability), NASA-TLX (cognitive load), IPQ (immersion), and open-ended comments from guided/unguided tasks on desktop and HoloLens 2, organized in a table with columns for variables (e.g., subject ID, task type) and 21 rows. Quantitative logs, stored in "Desktop" and "MR" subfolders, contain time-stamped data (e.g., completion times, movement accuracy) from 4-minute tasks in a 2x2 factorial crossover design (groups A and B), saved as CSV/text files with 10-minute switches including questionnaire data. Data was gathered in four phases: Orientation (15 min for eligibility/consent), Training (20 min for WHO sensitization), Main Experiment (55 min for tasks), and Resting/Data Collection (15 min for surveys), with 30 FPS logging potential.
DOI: 10.17632/2642s9pv8d.1
title: HoloLens & LED Screen-Based Handwashing Dataset: Quantitative Analysis and User Experience Data

description: Research Hypothesis, Data Insights, Notable Findings, and Interpretation
Research Hypothesis
The primary hypothesis of this study posits that a mixed reality (MR)-based handwashing activity recognition system, utilizing HoloLens 2 and guided by the World Health Organization (WHO) Handwashing Guidelines (2009), will enhance task performance and user satisfaction compared to traditional desktop-based systems. Specifically, we hypothesize that guided MR conditions will yield higher accuracy in completing the six WHO-defined handwashing steps (palm to palm, palm over dorsum, etc.) and lower cognitive load, as measured by NASA-TLX scores, due to real-time feedback. Additionally, we anticipate that qualitative feedback will reveal improved immersion and usability in MR settings, supported by Igroup Presence Questionnaire (IPQ) and System Usability Scale (SUS) scores.
Dataset Description and Collection
The dataset comprises quantitative and qualitative data from 21 subjects, collected over a 105-minute experimental protocol approved by Nazarbayev University IRB and aligned with the Declaration of Helsinki (2013). It is divided into two categories: a qualitative Excel file and quantitative logs in 21 subject-specific folders (1-21). The qualitative file captures subjective feedback, including SUS (usability), NASA-TLX (cognitive load), IPQ (immersion), and open-ended comments from guided/unguided tasks on desktop and HoloLens 2, organized in a table with columns for variables (e.g., subject ID, task type) and 21 rows. Quantitative logs, stored in "Desktop" and "MR" subfolders, contain time-stamped data (e.g., completion times, movement accuracy) from 4-minute tasks in a 2x2 factorial crossover design (groups A and B), saved as CSV/text files with 10-minute switches including questionnaire data. Data was gathered in four phases: Orientation (15 min for eligibility/consent), Training (20 min for WHO sensitization), Main Experiment (55 min for tasks), and Resting/Data Collection (15 min for surveys), with 30 FPS logging potential.
DOI: 10.17632/7st9ccr2cw
title: Data for: Amazon Multi-Elemental Timber Analysis

description: The dataset comprises multielemental data obtained through Inductively Coupled Plasma Mass Spectrometry (ICP-MS) from wood samples of three commercially valuable tropical species (Hymenaea courbaril – jatobá, Handroanthus sp. – ipê, and Manilkara huberi – maçaranduba) collected from multiple sites within the Brazilian Legal Amazon. Elemental concentrations (including Ca, Sr, Cr, Cu, Zn, B, among others) were measured at five radial positions across the wood disks (from pith to bark), enabling the assessment of both intra- and inter-site variations. The dataset was used for multivariate statistical analyses, particularly Principal Component Analysis (PCA), which revealed that average elemental profiles—especially those based on intermediate trunk portions (25% to 75%)—provide high geographic discrimination power. This dataset supports forensic and environmental studies by enabling the development of robust scientific methods to trace the geographic origin of tropical timber, thereby contributing to the fight against illegal logging and strengthening environmental monitoring efforts.
DOI: 10.17632/7st9ccr2cw.1
title: Data for: Amazon Multi-Elemental Timber Analysis

description: The dataset comprises multielemental data obtained through Inductively Coupled Plasma Mass Spectrometry (ICP-MS) from wood samples of three commercially valuable tropical species (Hymenaea courbaril – jatobá, Handroanthus sp. – ipê, and Manilkara huberi – maçaranduba) collected from multiple sites within the Brazilian Legal Amazon. Elemental concentrations (including Ca, Sr, Cr, Cu, Zn, B, among others) were measured at five radial positions across the wood disks (from pith to bark), enabling the assessment of both intra- and inter-site variations. The dataset was used for multivariate statistical analyses, particularly Principal Component Analysis (PCA), which revealed that average elemental profiles—especially those based on intermediate trunk portions (25% to 75%)—provide high geographic discrimination power. This dataset supports forensic and environmental studies by enabling the development of robust scientific methods to trace the geographic origin of tropical timber, thereby contributing to the fight against illegal logging and strengthening environmental monitoring efforts.
DOI: 10.6084/m9.figshare.28955696
title: metadata_record.xlsx

description: Metadata record
DOI: 10.6084/m9.figshare.28955696.v6
title: metadata_record.xlsx

description: Metadata record
DOI: 10.6084/m9.figshare.28955696.v5
title: Winther-Have_Supplementary_Information.xlsx

description: Supplementary material, assemvly data and high resolution pictures for Winther-Have et al. 2025
DOI: 10.15468/dl.bsvksy
title: Occurrence Download

description: A dataset containing 2799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Borassus aethiopum"
 ]
}

 The dataset includes 2799 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014882-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8ss2fsk49k
title: Supplementary Data for the In Vitro Rumen Fermentation Study on Polarity-Defined Fractions of Sijunzi San (Four-Gentlemen Decoction)

description: Supplementary Materials Summary
• Table S1 – Differentially abundant microbial taxa among SJZS fractions.
• Table S2 – Full taxonomic abundance matrix (phylum → species).
• Table S3 – LC-MS metabolite annotations with pathway links.
• Table S4 – Bioactive compounds distinguishing high- vs. low-performing fractions.
• Table S5 – Trend clusters
DOI: 10.17632/8ss2fsk49k.1
title: Supplementary Data for the In Vitro Rumen Fermentation Study on Polarity-Defined Fractions of Sijunzi San (Four-Gentlemen Decoction)

description: Supplementary Materials Summary
• Table S1 – Differentially abundant microbial taxa among SJZS fractions.
• Table S2 – Full taxonomic abundance matrix (phylum → species).
• Table S3 – LC-MS metabolite annotations with pathway links.
• Table S4 – Bioactive compounds distinguishing high- vs. low-performing fractions.
• Table S5 – Trend clusters
DOI: 10.17632/w8sr775pjb.2
title: MoringaLeafNet: A Multi-Class Leaf Disease Dataset for Precision Agriculture and Deep Learning Research

description: This dataset comprises high-resolution leaf images of Moringa Oleifera collected from Sumi Nursery, located in Madhupur, Tangail, Bangladesh. It was designed to support the development and evaluation of machine learning, deep learning, and computer vision models aimed at early and accurate disease diagnosis in Moringa leaves. The image data focuses on four key classes and leads to a total of 2, 228 original images.

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

To address class imbalance and enhance model robustness, image augmentation techniques were applied to expand the dataset. The augmentation process included operations such as rotation, scaling, flipping, brightness adjustment, and noise addition. This resulted in a significantly enriched dataset with the following class distributions:

Healthy Leaf: 1856 images
Cercospora Leaf Spot: 1,652 images
Yellow Leaf: 1,856 images
Bacterial Leaf Spot: 2,908 images

Bringing the total number of images to 8,272.

For computer vision applications, this dataset enables segmentation, localization, and classification tasks. It can be used to develop mobile and embedded vision systems for real-time leaf disease detection in smart agriculture, thereby assisting farmers in early diagnosis and timely treatment. Moreover, the dataset supports image preprocessing research, including denoising, edge detection, and contrast enhancement tailored for leaf texture analysis.

This curated and augmented image dataset provides a valuable resource for advancing automated plant health monitoring systems, especially in the domain of sustainable agriculture and precision farming.
DOI: 10.15468/dl.bv3z5f
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhomboidichthys spilurus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014883-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jttf299kxv
title: LabEquipVis: An Image Dataset of Computer Laboratory Equipment Detection

description: 𝑪𝒐𝒏𝒕𝒆𝒙𝒕 & 𝑴𝒐𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏:
* Computer laboratory equipment is integral to education, research, and technological development.
* Smart lab automation is transforming educational and research environments by streamlining operations and boosting productivity.

𝑫𝒂𝒕𝒂𝒔𝒆𝒕 𝑪𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏:
* Total of 2,584 original high-resolution images and 7,753 augmented images with proper labeling.
* Captured in the vibrant, real-world ambiance of East West University.
* Images acquired using an Oppo Reno8 Pro smartphone. 

𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑳𝒂𝒃 𝑬𝒒𝒖𝒊𝒑𝒎𝒆𝒏𝒕 𝑪𝒍𝒂𝒔𝒔𝒆𝒔:
* 10 distinct classes covering a wide variety of appearances and shapes.
* Includes common computer laboratory equipment across different lighting and background conditions.

𝑨𝒏𝒏𝒐𝒕𝒂𝒕𝒊𝒐𝒏 & 𝑭𝒐𝒓𝒎𝒂𝒕:
* Annotated via the Roboflow platform for precise bounding-box labels.
* Provided in YOLO format to facilitate object detection benchmarks.
* Folder structure is provided in the readme file.
DOI: 10.17632/6cyvzpfgtk
title: Weather data

description: Weather data of Odisha State
DOI: 10.17632/jttf299kxv.1
title: LabEquipVis: An Image Dataset of Computer Laboratory Equipment Detection

description: 𝑪𝒐𝒏𝒕𝒆𝒙𝒕 & 𝑴𝒐𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏:
* Computer laboratory equipment is integral to education, research, and technological development.
* Smart lab automation is transforming educational and research environments by streamlining operations and boosting productivity.

𝑫𝒂𝒕𝒂𝒔𝒆𝒕 𝑪𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏:
* Total of 2,584 original high-resolution images and 7,753 augmented images with proper labeling.
* Captured in the vibrant, real-world ambiance of East West University.
* Images acquired using an Oppo Reno8 Pro smartphone. 

𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑳𝒂𝒃 𝑬𝒒𝒖𝒊𝒑𝒎𝒆𝒏𝒕 𝑪𝒍𝒂𝒔𝒔𝒆𝒔:
* 10 distinct classes covering a wide variety of appearances and shapes.
* Includes common computer laboratory equipment across different lighting and background conditions.

𝑨𝒏𝒏𝒐𝒕𝒂𝒕𝒊𝒐𝒏 & 𝑭𝒐𝒓𝒎𝒂𝒕:
* Annotated via the Roboflow platform for precise bounding-box labels.
* Provided in YOLO format to facilitate object detection benchmarks.
* Folder structure is provided in the readme file.
DOI: 10.17632/6cyvzpfgtk.1
title: Weather data

description: Weather data of Odisha State
DOI: 10.17632/khjh33skgy
title: Example Dataset for Item Analysis of MCQs

description: This dataset provides a simulated example for item analysis of multiple-choice questions (MCQs). It includes the responses of 20 students to 10 single-best-answer MCQs, with each item having four options (A, B, C, or D) and a single correct answer scored as 1. The answer key is provided, and student responses are scored accordingly. Students are then arranged in descending order of their total scores. The dataset is further used to calculate key psychometric properties of the items, including difficulty index, discrimination index, distractor efficiency, point-biserial correlation, and the overall reliability of the test using KR-20. This example dataset is particularly useful for demonstrating the practical application of item analysis techniques in educational assessment workshops, faculty development programs, and health professions education training sessions.
DOI: 10.17632/khjh33skgy.1
title: Example Dataset for Item Analysis of MCQs

description: This dataset provides a simulated example for item analysis of multiple-choice questions (MCQs). It includes the responses of 20 students to 10 single-best-answer MCQs, with each item having four options (A, B, C, or D) and a single correct answer scored as 1. The answer key is provided, and student responses are scored accordingly. Students are then arranged in descending order of their total scores. The dataset is further used to calculate key psychometric properties of the items, including difficulty index, discrimination index, distractor efficiency, point-biserial correlation, and the overall reliability of the test using KR-20. This example dataset is particularly useful for demonstrating the practical application of item analysis techniques in educational assessment workshops, faculty development programs, and health professions education training sessions.
DOI: 10.15468/dl.p38rgt
title: Occurrence Download

description: A dataset containing 55223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis leucoblephara)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 55223 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014853-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4zfr7s92z3
title: synergistic effect of high volume slag in concrete

description: The data set contains all the NDT and mechanical strength parameters.
DOI: 10.17632/4zfr7s92z3.1
title: synergistic effect of high volume slag in concrete

description: The data set contains all the NDT and mechanical strength parameters.
DOI: 10.15468/dl.33sk6q
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis euophrys)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014884-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zmtac
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014885-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.120319
title: Research data in support of "Internal Phase Separation in Synthetic DNA Condensates"

description: Data to support paper 'Internal phase separation in synthetic DNA condensates'. Each folder for main figures (1-6) is accompanied by a corresponding README file. 1. Confocal micrographs for DNA condensates with equal parts of A to B nanostars. 2. Confocal micrographs for DNA condensates with all ratios of A to B tested. 3. Images of condensates selected for analysis (highlighted) and resulting measurements of partition coefficients, contact angles, and interfacial tension ratios. 4. Epifluorescence micrographs and measurements of mean fluorescence intensity, standard deviation of fluorescence intensity, and melting temperatures for experiments of melting and annealing DNA condensates. 5. Confocal micrographs for DNA condensates annealed with different protocols. 6. Images of condensates annealed under different conditions selected for analysis (highlighted) and resulting measurements of partition coefficients, contact angles, and interfacial tension ratios.
DOI: 10.15468/dl.vddf42
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014886-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.