cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/n3pzf9sb6p.1
title: Dataset to a Case Report of Vertigo after Scorpion Sting

description: Data corresponding to a case series of patients recruited in 2025, victms of scorpion sting and were evaluated regarding dizziness and vertigo.
This dataset possess the raw data in excell, the description of the cases as well as the statistical analysis plan for further exploration
DOI: 10.15468/dl.f6tjtz
title: Occurrence Download

description: A dataset listing the 56 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Costa Rica",
 "TaxonKey is Erythraeidae"
 ]
}

 The dataset's 56 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009439-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/95jg8rckv7
title: Seagrass vs bare sand contrasts in absence of bioturbation

description: 2014 data underlying the published paper: Barnes, R.S.K. & Barnes, M.K.S. 2014. Biodiversity differentials between the numerically-dominant macrobenthos of seagrass and adjacent unvegetated sand in the absence of sandflat bioturbation. Marine Environmental Research, 99, 34-43. http://dx.doi.org/10.1016/j.marenvres.2014.05.013. Full details are provided therein.
DOI: 10.5281/zenodo.18247678
title: Baccharis polyptera DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247679
title: Baccharis polyptera DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/95jg8rckv7.1
title: Seagrass vs bare sand contrasts in absence of bioturbation

description: 2014 data underlying the published paper: Barnes, R.S.K. & Barnes, M.K.S. 2014. Biodiversity differentials between the numerically-dominant macrobenthos of seagrass and adjacent unvegetated sand in the absence of sandflat bioturbation. Marine Environmental Research, 99, 34-43. http://dx.doi.org/10.1016/j.marenvres.2014.05.013. Full details are provided therein.
DOI: 10.17632/cgn68whwpx
title: Supporting data for Unveiling the Nature of LaMg2H7: A First-Principles Exploration of Its Hydrogen Storage and Thermal Barrier Capabilities

description: This dataset contains the figures and tables associated with the manuscript “Unveiling the Nature of LaMg2H7: A First-Principles Exploration of Its Hydrogen Storage and Thermal Barrier Capabilities.” Included materials: (1) all final figures in high-resolution formats, (2) all tables in editable format.
DOI: 10.15468/dl.g6npjp
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.34.90_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009461-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cgn68whwpx.2
title: Supporting data for Unveiling the Nature of LaMg2H7: A First-Principles Exploration of Its Hydrogen Storage and Thermal Barrier Capabilities

description: This dataset contains the figures and tables associated with the manuscript “Unveiling the Nature of LaMg2H7: A First-Principles Exploration of Its Hydrogen Storage and Thermal Barrier Capabilities.” Included materials: (1) all final figures in high-resolution formats, (2) all tables in editable format.
DOI: 10.17632/zhvyg59yw3
title: Data for effects of wind on suspended sediment concentration in muddy coastal waters

description: This data was uploaded for supporting findings in the manuscript entitled “Effects of wind on suspended sediment concentration in muddy coastal waters”. The data includes current, wave, turbidity, and wind.
DOI: 10.17632/zhvyg59yw3.1
title: Data for effects of wind on suspended sediment concentration in muddy coastal waters

description: This data was uploaded for supporting findings in the manuscript entitled “Effects of wind on suspended sediment concentration in muddy coastal waters”. The data includes current, wave, turbidity, and wind.
DOI: 10.15468/dl.vypx8q
title: Occurrence Download

description: A dataset containing 12504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-18.12551 28.36974,-17.59245 28.36974,-17.59245 28.95171,-18.12551 28.95171,-18.12551 28.36974))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 12504 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009460-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hstrndzkw9
title: pcos vhit
DOI: 10.17632/hstrndzkw9.1
title: pcos vhit
DOI: 10.17632/5cvkx3gm9b
title: Qualitative Study for Exploring Movement-based Features in Interaction Design

description: Overview:
This repository contains supplementary materials for the qualitative study presented in the paper "Exploring a user-centered approach for movement-based features in interaction design" by Antonio Escamilla, Javier Melenchón, Carlos Monzo, Jose Antonio Morán, and Juan Pablo Carrascal. These materials provide additional context, methodological details, and analytical tools that complement the findings discussed in the main publication.

Contents:
* Codebook for Motion Analysis in Interaction Design Study: A comprehensive codebook detailing the coding scheme used for analyzing interview data about motion and movement-based features in interaction design contexts.
* Flow of Codes into Categories and Preliminary Themes: Interactive Jupyter notebook demonstrating the analytical process of how initial codes were consolidated into categories and preliminary themes, providing transparency into the qualitative analysis workflow.
* Interview Protocol: The complete interview protocol used for data collection with interaction design practitioners, including questions and prompts that guided the semi-structured interviews.
* Open Coding Summary: Summary document of the initial open coding phase, showing the range of codes identified during the first round of analysis.
* Thematic Map Visualization: Interactive Jupyter notebook containing visualizations of the thematic structure that emerged from the analysis, illustrating relationships between themes and categories.
* Themes Search: Documentation of the iterative process of theme refinement and development, showing how themes evolved throughout the analytical process.
* coding_analysis_flow: Interactive HTML visualization of the complete qualitative analysis workflow, from initial coding to final theme development.
* Manuscript Appendix with Technical Specifications of the Implementation: Technical context to understand the movement-based features and their visualization strategies, with comprehensive hardware and software specifications.

Purpose:
These supplementary materials provide researchers, practitioners, and educators with transparent access to the methodological approach and analytical process used in our study of how designers conceptualize and implement movement-based features in interaction design. The materials support reproducibility and offer additional context for interpreting the findings presented in the main paper.
Citation:
If you use these materials in your research or practice, please cite:
Escamilla, A., Melenchón, J., Monzo, C., Morán, J. A., & Carrascal, J. P. (2025). Exploring a user-centered approach for movement-based features in interaction design.
Contact:
For questions regarding these materials, please contact the corresponding author, Antonio Escamilla, at the Escuela de Ingenierías, Universidad Pontificia Bolivariana, Medellín, Colombia.
DOI: 10.17632/5cvkx3gm9b.4
title: Qualitative Study for Exploring Movement-based Features in Interaction Design

description: Overview:
This repository contains supplementary materials for the qualitative study presented in the paper "Exploring a user-centered approach for movement-based features in interaction design" by Antonio Escamilla, Javier Melenchón, Carlos Monzo, Jose Antonio Morán, and Juan Pablo Carrascal. These materials provide additional context, methodological details, and analytical tools that complement the findings discussed in the main publication.

Contents:
* Codebook for Motion Analysis in Interaction Design Study: A comprehensive codebook detailing the coding scheme used for analyzing interview data about motion and movement-based features in interaction design contexts.
* Flow of Codes into Categories and Preliminary Themes: Interactive Jupyter notebook demonstrating the analytical process of how initial codes were consolidated into categories and preliminary themes, providing transparency into the qualitative analysis workflow.
* Interview Protocol: The complete interview protocol used for data collection with interaction design practitioners, including questions and prompts that guided the semi-structured interviews.
* Open Coding Summary: Summary document of the initial open coding phase, showing the range of codes identified during the first round of analysis.
* Thematic Map Visualization: Interactive Jupyter notebook containing visualizations of the thematic structure that emerged from the analysis, illustrating relationships between themes and categories.
* Themes Search: Documentation of the iterative process of theme refinement and development, showing how themes evolved throughout the analytical process.
* coding_analysis_flow: Interactive HTML visualization of the complete qualitative analysis workflow, from initial coding to final theme development.
* Manuscript Appendix with Technical Specifications of the Implementation: Technical context to understand the movement-based features and their visualization strategies, with comprehensive hardware and software specifications.

Purpose:
These supplementary materials provide researchers, practitioners, and educators with transparent access to the methodological approach and analytical process used in our study of how designers conceptualize and implement movement-based features in interaction design. The materials support reproducibility and offer additional context for interpreting the findings presented in the main paper.
Citation:
If you use these materials in your research or practice, please cite:
Escamilla, A., Melenchón, J., Monzo, C., Morán, J. A., & Carrascal, J. P. (2025). Exploring a user-centered approach for movement-based features in interaction design.
Contact:
For questions regarding these materials, please contact the corresponding author, Antonio Escamilla, at the Escuela de Ingenierías, Universidad Pontificia Bolivariana, Medellín, Colombia.
DOI: 10.17632/tkgbrvb2c2
title: Flower Leaf Image Dataset for Plant Identification

description: A curated image dataset containing leaf images of four ornamental plant species — Frangipani (Plumeria), Hibiscus (Hibiscus rosa-sinensis), Marigold (Tagetes erecta), and Rose (Rosa spp.). The dataset is designed for image classification, leaf recognition, and plant species identification tasks in deep learning and computer vision research.
DOI: 10.17632/tkgbrvb2c2.3
title: Flower Leaf Image Dataset for Plant Identification

description: A curated image dataset containing leaf images of four ornamental plant species — Frangipani (Plumeria), Hibiscus (Hibiscus rosa-sinensis), Marigold (Tagetes erecta), and Rose (Rosa spp.). The dataset is designed for image classification, leaf recognition, and plant species identification tasks in deep learning and computer vision research.
DOI: 10.5281/zenodo.18247683
title: Baccharis psammophila Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247682
title: Baccharis psammophila Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.3dfacu
title: Occurrence Download

description: A dataset containing 326300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycaenidae",
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 326300 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009415-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7emhk4
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1965",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 803 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009462-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m5b9hfbkk8
title: Knee_OA_72_data_2026

description: This dataset represent the brief clinical and laboratory data of 72 knee osteoarthritis patients.
DOI: 10.17632/m5b9hfbkk8.1
title: Knee_OA_72_data_2026

description: This dataset represent the brief clinical and laboratory data of 72 knee osteoarthritis patients.
DOI: 10.17632/zgrkkn4kdn
title: Sensor data alignment

description: Data was generated by machining 314L steel. It consists 3 phase energy data and vibrations.
DOI: 10.17632/zgrkkn4kdn.2
title: Sensor data alignment

description: Data was generated by machining 314L steel. It consists 3 phase energy data and vibrations.
DOI: 10.57903/uj/sr22hz
title: Data accompanying the manuscript entitled Temperature-driven trade-off between mitochondrial activity and efficiency in live rotifers representing different thermal histories

description: These are the data accompanying the manuscript entitled Temperature-driven trade-off between mitochondrial activity and efficiency in live rotifers representing different thermal histories.
Authors: Agata Burzawa, Katarzyna Potera, Eugene P. Sokolov, Inna M. Sokolova, Aleksandra Walczyńska
Project: When temperature makes them to panic – the effect of optimal and stressful thermal conditions on phenotypic and mitochondrial response in ectotherms
Number: 2019/35/B/NZ8/03245
PI: Aleksandra Walczyńska
DOI: 10.5281/zenodo.18247654
title: Meiningen, Staatsarchiv (ca. 1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.18247653
title: Meiningen, Staatsarchiv (ca. 1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.17632/nrc2pssrgy
title: The correlations of economic fluctuations of the Benelux-Germany borderland

description: This Dataset presents the correlations of economic fluctuations of the Benelux-Germany borderland
DOI: 10.17632/nrc2pssrgy.3
title: The correlations of economic fluctuations of the Benelux-Germany borderland

description: This Dataset presents the correlations of economic fluctuations of the Benelux-Germany borderland
DOI: 10.17632/7jk6xh7h6w
title: Fire Recognition Image Dataset

description: Fire_Dataset

Real Fire
Fire (283 Original images; 1,698 Augmented Images)
Smoke (273 Original images; 1,638 Augmented Images)

No Fire
Safe Fire (270 Original images; 1,620 Augmented Images)
Artificial Fire (286 Original images; 1,716 Augmented Images)

Augmentation pipeline (including shear transformation using Affine)
transform = A.Compose([
 A.HorizontalFlip(p=0.5), # 50% chance to flip horizontally
 A.VerticalFlip(p=0.3), # 30% chance to flip vertically
 A.RandomBrightnessContrast(p=0.3), # Adjust brightness & contrast randomly
 A.Rotate(limit=30, p=0.5), # Rotate between -30 to +30 degrees
 A.Affine(shear=(-20, 20), p=0.5), # Apply shear transformation in both X & Y directions
 A.GaussNoise(var_limit=(10.0, 50.0), p=0.3) # Add random noise
])
DOI: 10.17632/7jk6xh7h6w.2
title: Fire Recognition Image Dataset

description: Fire_Dataset

Real Fire
Fire (283 Original images; 1,698 Augmented Images)
Smoke (273 Original images; 1,638 Augmented Images)

No Fire
Safe Fire (270 Original images; 1,620 Augmented Images)
Artificial Fire (286 Original images; 1,716 Augmented Images)

Augmentation pipeline (including shear transformation using Affine)
transform = A.Compose([
 A.HorizontalFlip(p=0.5), # 50% chance to flip horizontally
 A.VerticalFlip(p=0.3), # 30% chance to flip vertically
 A.RandomBrightnessContrast(p=0.3), # Adjust brightness & contrast randomly
 A.Rotate(limit=30, p=0.5), # Rotate between -30 to +30 degrees
 A.Affine(shear=(-20, 20), p=0.5), # Apply shear transformation in both X & Y directions
 A.GaussNoise(var_limit=(10.0, 50.0), p=0.3) # Add random noise
])
DOI: 10.17632/kmbctbg39y
title: Deep Learning Binary Classification of Inflammation during Keratinocyte Carcinoma Treatment with Topical Applications of Imiquimod, 5-fluorouracil, and Retinoids

description: Background: Keratinocyte carcinomas (KCs) require monitoring during topical therapy treatment. Artificial intelligence could enable automated assessment of inflammation status to support telemedicine-based care.
Objective: Evaluate three deep learning approaches for binary classification of inflammation status in KCs treated with topical imiquimod, 5-fluorouracil, and retinoids (IMI/5-FU/RET).
Methods: Retrospective study analyzing 2,170 clinical images of KCs collected from 2011-2024 at a dermatology practice. Images were labeled as having "active" or "inactive" inflammation by a physician and split into training (70%), validation (20%), and testing (10%) sets. Approaches used included a convolutional neural network (CNN), pre-trained feature extractors with linear probing using ResNet50, MobileNetV2, and DenseNet121 architectures, and pre-trained feature extractors with K-nearest neighbor classification.
Results: ResNet50 with K-NN classification achieved the best overall performance on test data, with 89.7% accuracy, 87.35% recall, 90.95% precision, and 88.85% F1 score. 
Limitations: The dataset consisted primarily of fair-skinned individuals from a single dermatology practice, limiting generalizability. Images sometimes contained artifacts and variability in lighting and camera parameters. 
Conclusion: Pre-trained deep learning models effectively classified inflammation status in KC treatment and could enable automated monitoring of topical therapy response and support telemedicine workflows. External validation on diverse populations and clinical settings is needed before implementation.
DOI: 10.15468/dl.hk6ve8
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((120 39,123 39,123 42,120 42,120 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limosa limosa",
 "VerbatimScientificName is Limosa limosa"
 ]
}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009464-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqyr3c
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.26.24_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009465-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/5gr6g8
title: Data Management and Sharing Plan for: MASTER Scaffolds for Rapid, Single-Step Manufacture and Prototyping of CAR-T cells

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan