cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hz2d6gz7pc.2
title: SpaPhish: A Spanish Dataset for Phishing and Psychological Pattern Detection

description: The SpaPhish dataset is a Spanish-language email dataset curated to test the hypothesis that phishing-related behavior in Spanish can be modeled more reliably when (i) the message content is natively Spanish and (ii) social-engineering tactics are explicitly captured through human psychological annotations.

This release contains 1,395 email records described by 47 fields. Each record is identified by a hash and includes the email subject and body, plus a date field (parseable dates are available for 1,371 records; the range spans 2014-06-07 to 2025-10-27). A binary message label is provided in the Label column for all records, with a class distribution of 0 = 664 and 1 = 731. In addition to text, SpaPhish includes derived technical attributes: url_count (mean 6.62, range 0-117), hops_count (mean 4.28, range 0-19), and attachment descriptors.

A distinctive component of SpaPhish is its psychological layer based on Ana Ferreira's principles of persuasion. For each message, three independent annotators provide labels for five dimensions: authority, social proof, liking/similarity deception, commitment/integrity/reciprocation, and distraction. The file includes per-annotator columns (*_A, *_B, *_C) and free-text justification fields (justif_*) that document the rationale behind each decision. Consolidated columns provide an aggregated ground truth for benchmarking.

At a descriptive level, link-bearing content is pervasive (86.02% of messages). Technical aggregates differ significantly between classes: Label 0 has a higher mean url_count (8.47) and attachments_count (0.715) compared to Label 1 (mean url_count 4.94, mean attachments_count 0.033). Researchers should treat this as a multi-layer resource for Spanish NLP modeling, email forensics, and explainable AI (XAI) research.
DOI: 10.57903/uj/jvyulf
title: Impact of virus-induced gill disease caused by carp edema virus (CEV) on the immunological status of fish - raw data

description: Raw data from the project founded by NCN in the frame of Beethoven Life 1 call. 
Project title: Impact of virus-induced gill disease caused by carp edema virus (CEV) on the immunological status of fish.
DOI: 10.15468/dl.sxgfvv
title: Occurrence Download

description: A dataset containing 5649144 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florabank1 - A grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region)"
 ]
}

 The dataset includes 5649144 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068464-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/csffsn4v9n
title: Supplementary Materials and 3D Models - From Pairwise to Higher-order Brain Community Detection: A Hypergraph Signal Processing Approach on Brain Functional Connectivity Analysis

description: This repository contains the supplementary material and 3D brain models associated with the paper “From Pairwise to Higher-Order Brain Community Detection: A Hypergraph Signal Processing Approach on Brain Functional Connectivity Analysis” by Breno C. Bispo, José R. de Oliveira Neto, Juliano B. Lima, and Fernando A. N. Santos.
DOI: 10.17632/csffsn4v9n.2
title: Supplementary Materials and 3D Models - From Pairwise to Higher-order Brain Community Detection: A Hypergraph Signal Processing Approach on Brain Functional Connectivity Analysis

description: This repository contains the supplementary material and 3D brain models associated with the paper “From Pairwise to Higher-Order Brain Community Detection: A Hypergraph Signal Processing Approach on Brain Functional Connectivity Analysis” by Breno C. Bispo, José R. de Oliveira Neto, Juliano B. Lima, and Fernando A. N. Santos.
DOI: 10.5281/zenodo.18085713
title: Recursos Educativos. Historia Moderna de Asia Oriental.Curso 2024/25. US

description:  Recursos educativos. Historia Moderna de Asia Oriental Curso 2024/25. US

Prof. Isabel Mª Melero Muñoz

Curso: 2024/2025 2º Cuatrimestre. 

Departamento de Historia Moderna. Facultad de Geografía e Historia. Universidad de Sevilla.
DOI: 10.5281/zenodo.18085714
title: Recursos Educativos. Historia Moderna de Asia Oriental.Curso 2024/25. US

description:  Recursos educativos. Historia Moderna de Asia Oriental Curso 2024/25. US

Prof. Isabel Mª Melero Muñoz

Curso: 2024/2025 2º Cuatrimestre. 

Departamento de Historia Moderna. Facultad de Geografía e Historia. Universidad de Sevilla.
DOI: 10.17632/hb3kvgfcvm
title: MangoLeafVarietyBD: An Image Dataset for Multi-Class Mango Variety Classification in Bangladesh

description: The MangoLeafVarietyBD (Raw Images) takes 2,744 original, unprocessed photos of mango leaves directly taken in the field of Thakurgaon District and Daffodil International University (Savar, Dhaka), Bangladesh. The photos were taken on Samsung Galaxy S24 Ultra and Google Pixel 8 and the background was covered with a white piece of paper to make sure that the visuals were consistent across the photos of every leaf.
Eight varieties of mangoes, including Amrapali, Banana, Bandigori, Himsagar, Surjapuri, Harivanga, Kacha Mitha, and Brunei King are included in the dataset. Each of the images has its label as the class name and is then sorted into class-specific folders that can be used in PyTorch or TensorFlow ImageFolder, allowing the reproducible preprocessing and allowing a fair comparison with other mango variety classification systems designed to be used in a field.
DOI: 10.25345/c5jm23v8r
title: MassIVE MSV000100348 - Liquid chromatography-mass spectrometry (LC-MS) analysis of intratumoral DOX and DiD concentrations
title: Samples were analyzed using an ACQUITY Premier UPLC system coupled to a Shimadzu LC-MS-8050 mass spectrometer. Separation was achieved on an ACQUITY UPLC C18 column at a flow rate of 0.3 mL/min.
DOI: 10.17632/hb3kvgfcvm.2
title: MangoLeafVarietyBD: An Image Dataset for Multi-Class Mango Variety Classification in Bangladesh

description: The MangoLeafVarietyBD (Raw Images) takes 2,744 original, unprocessed photos of mango leaves directly taken in the field of Thakurgaon District and Daffodil International University (Savar, Dhaka), Bangladesh. The photos were taken on Samsung Galaxy S24 Ultra and Google Pixel 8 and the background was covered with a white piece of paper to make sure that the visuals were consistent across the photos of every leaf.
Eight varieties of mangoes, including Amrapali, Banana, Bandigori, Himsagar, Surjapuri, Harivanga, Kacha Mitha, and Brunei King are included in the dataset. Each of the images has its label as the class name and is then sorted into class-specific folders that can be used in PyTorch or TensorFlow ImageFolder, allowing the reproducible preprocessing and allowing a fair comparison with other mango variety classification systems designed to be used in a field.
DOI: 10.17632/24w4r6mzgy
title: Acute Effect of Aerobic Exercise with Blood Flow Restriction on Blood Pressure: a Systematic Review of Randomized Clinical

description: Data used in this research: Articles used in the systematic review, as well as their data extraction.
DOI: 10.17632/24w4r6mzgy.1
title: Acute Effect of Aerobic Exercise with Blood Flow Restriction on Blood Pressure: a Systematic Review of Randomized Clinical

description: Data used in this research: Articles used in the systematic review, as well as their data extraction.
DOI: 10.5281/zenodo.17580944
title: Open Music Europe Hospitality Survey Distributed Through A Survey Panel Provider

description: OpenMusE Hospitality Survey Distributed Through A Survey Panel Provider in Germany, Italy, and Poland – EN master questionnaire submitted for distribution
DOI: 10.5281/zenodo.17580945
title: Open Music Europe Hospitality Survey Distributed Through A Survey Panel Provider

description: OpenMusE Hospitality Survey Distributed Through A Survey Panel Provider in Germany, Italy, and Poland – EN master questionnaire submitted for distribution
DOI: 10.15468/dl.tztdfh
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhabdosargus thorpei",
 "Year 2000-2025"
 ]
}

 The dataset includes 87 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068472-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5f2ww8r4nn
title: Supplementary data for "Genomics of primary and metastatic cutaneous melanoma: a systematic review and meta-analysis"

description: This dataset contains supplementary methods, tables and figures used in the study: Genomics of primary and metastatic cutaneous melanoma: a systematic review and meta-analysis.
DOI: 10.17632/5f2ww8r4nn.1
title: Supplementary data for "Genomics of primary and metastatic cutaneous melanoma: a systematic review and meta-analysis"

description: This dataset contains supplementary methods, tables and figures used in the study: Genomics of primary and metastatic cutaneous melanoma: a systematic review and meta-analysis.
DOI: 10.57903/uj/m38yms
title: PemKSa6_supplementary table S1

description: Supplementary table S1 for manuscript: Analysis of co-occurrence of toxin-antitoxin systems and antibiotic resistance determinants in Staphylococcus spp.
DOI: 10.17632/d39tfvjj48.1
title: Replication package for “Rule-of-Law Digital Government and Corporate Social Responsibility Governance in Digital Firms: Evidence from China”

description: This replication package contains the data and Stata code required to reproduce the empirical results reported in the manuscript “Rule-of-Law Digital Government and Corporate Social Responsibility Governance in Digital Firms: Evidence from China.” The package includes (i) the core firm-year dataset used as the merge backbone, (ii) auxiliary raw component datasets used to construct controls and additional measures, (iii) datasets for robustness checks, heterogeneity analyses, mechanism tests, and instrumental-variable specifications, and (iv) a master Stata do-file that performs the merges, data cleaning (including winsorization and variable generation), and estimation.

Key external data sources include CSMAR (China Stock Market & Accounting Research Database), Huazheng ESG ratings (official website: https://www.chindices.com/esg-ratings.html), Bloomberg ESG score (https://www.bloombergchina.com/solution/sustainable-finance/
), and official Chinese statistical yearbooks (National Bureau of Statistics of China: https://www.stats.gov.cn/
). Some inputs (e.g., policy indicators and selected historical exposure measures) are hand-collected from official policy documents and historical materials; the resulting variables are provided in the deposited datasets.

A detailed README is included in the files and documents the contents, variable construction notes, and reproduction steps.
DOI: 10.17632/7tzkkp9pgf.1
title: Far-UV circular dichroism dataset on NaCl-dependent secondary structure of C. difficile endolysin catalytic domains CD27L_EAD and PHICD111_20024_EAD

description: This dataset provides raw far-UV circular dichroism (CD) spectral files and a helicity summary table for two Clostridioides difficile–targeting endolysin catalytic domains, CD27L_EAD and PHICD111_20024_EAD. Spectra were recorded at 25 °C in 20 mM Tris buffer (pH 7.0) at 10 µM with 0–200 mM NaCl (0, 50, 100, 150, 200 mM) over 190–260 nm, using duplicate scans from two independent protein preparations per condition. Helicity values were estimated using BeStSel as described in the associated Data in Brief article, SDS-PAGE images are provided in the article figures and are not deposited here.
DOI: 10.5281/zenodo.18085760
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.17632/xr93nvf27b
title: Investigator Global Assessment for PG (IGAPg), examples and methods

description: The IGAPg is a global assessment tool to assess static disease severity for pyoderma gangrenosum. Examples of cases of PG have been added. Also, summary of the instrument development, content validity, hypothesis testing for construct validity and reliability are also highlighted.
DOI: 10.17632/xr93nvf27b.1
title: Investigator Global Assessment for PG (IGAPg), examples and methods

description: The IGAPg is a global assessment tool to assess static disease severity for pyoderma gangrenosum. Examples of cases of PG have been added. Also, summary of the instrument development, content validity, hypothesis testing for construct validity and reliability are also highlighted.
DOI: 10.17632/8mprk8br23
title: The Development of a Low-cost Photometric-stereo-based Material Scanner

description: This dataset (Version 4) accompanies the third-round revised HardwareX manuscript entitled “The Development of a Low-cost Photometric-stereo-based Material Scanner.” It contains all design files and software scripts necessary to reproduce the hardware setup and workflow described in the manuscript.

Abstract:
Capturing accurate texture maps from physical materials remains a challenge in digital prototyping and projection-based spatial augmented reality (P-SAR). This paper presents an open-source material scanning system based on photometric stereo, designed for affordability, simplicity, and efficient operation. The system combines a consumer-grade digital camera, multifaceted reflector (MR16) LED lighting, and Arduino-controlled automation to acquire material data up to A4 size within 15 seconds. Accurate colour reproduction is achieved through a hybrid calibration workflow that integrates camera profiling with a 3D lookup table. The resulting images are processed in a streamlined Substance 3D Designer pipeline to generate albedo and normal maps compatible with physically based rendering (PBR). To evaluate performance under realistic conditions, two fabric samples were scanned and qualitatively compared with professionally digitised references. Albedo maps were assessed based on dominant colour accuracy using CIEDE2000 (ΔE₀₀), while normal maps were evaluated through visual rendering comparisons and directional distribution analysis. Scanning and processing times were also measured to verify workflow efficiency. Results demonstrate that the proposed system produces perceptually consistent textures suitable for real-time rendering applications while offering a low-cost and customisable solution for material digitisation.
DOI: 10.17632/8mprk8br23.4
title: The Development of a Low-cost Photometric-stereo-based Material Scanner

description: This dataset (Version 4) accompanies the third-round revised HardwareX manuscript entitled “The Development of a Low-cost Photometric-stereo-based Material Scanner.” It contains all design files and software scripts necessary to reproduce the hardware setup and workflow described in the manuscript.

Abstract:
Capturing accurate texture maps from physical materials remains a challenge in digital prototyping and projection-based spatial augmented reality (P-SAR). This paper presents an open-source material scanning system based on photometric stereo, designed for affordability, simplicity, and efficient operation. The system combines a consumer-grade digital camera, multifaceted reflector (MR16) LED lighting, and Arduino-controlled automation to acquire material data up to A4 size within 15 seconds. Accurate colour reproduction is achieved through a hybrid calibration workflow that integrates camera profiling with a 3D lookup table. The resulting images are processed in a streamlined Substance 3D Designer pipeline to generate albedo and normal maps compatible with physically based rendering (PBR). To evaluate performance under realistic conditions, two fabric samples were scanned and qualitatively compared with professionally digitised references. Albedo maps were assessed based on dominant colour accuracy using CIEDE2000 (ΔE₀₀), while normal maps were evaluated through visual rendering comparisons and directional distribution analysis. Scanning and processing times were also measured to verify workflow efficiency. Results demonstrate that the proposed system produces perceptually consistent textures suitable for real-time rendering applications while offering a low-cost and customisable solution for material digitisation.
DOI: 10.17632/bdzg4tjy63.1
title: Plastic Waste Detection on Cox’s Bazar Sea Beach,Bangladesh

description: The Cox’s Bazar Beach Plastic Waste Detection Dataset (CoxPWD 2025) is an object-detection dataset of 4,195 RGB images (374 MB) collected along Cox’s Bazar, Bangladesh, the world’s longest natural sea beach. Images were captured during September 2025 at three popular tourist sites which are Kolatoli Beach, Sugandha Beach, and Laboni Beach. Pictures were taken using an iPhone 15 Pro Max, Google Pixel 6, and Canon 650D under varying weather (sunny, cloudy, rainy) and different time-of-day (morning, noon, afternoon) conditions. Each scene includes portrait and landscape views from multiple angles (~15° and 45° from left and right, and ~1 m and 6 m above ground) to introduce realistic variation in scale, occlusion and background.
All images are stored after resizing to 640×640 JPEGs and annotated for bounding-box object detection in COCO format with 15 classes which are packet, polythene, cup, spoon, straw, rope, bag, bottle, bottle_cap, net, sunglass, toy, fishing_item, others, objects. The dataset is split into 80% train (3,367 images), 10% validation (414) and 10% test (414) subsets, each with its own _annotations.coco.json file. This structure makes the dataset plug-and-play for YOLOv8 and other deep-learning detectors targeting coastal plastic-waste monitoring, model benchmarking, and deployment on mobile or edge devices.
DOI: 10.17632/w7xxksmt6w
title: Vehicle Replacement Decision

description: This data is concerned with vehicles which are in their end phase. The data is collected from vehicle service centers and scrapping centers. The data explains if the vehicle in the current phase is hold, replaced, scrapped.
DOI: 10.17632/w7xxksmt6w.1
title: Vehicle Replacement Decision

description: This data is concerned with vehicles which are in their end phase. The data is collected from vehicle service centers and scrapping centers. The data explains if the vehicle in the current phase is hold, replaced, scrapped.
DOI: 10.17632/v7d6drgcpp
title: Qualitative Data on User Experience and Perceived Effectiveness of IntelliTrac GPS in Coal-Fired Power Plant Operations (PLTU)

description: The main objective of this research was to understand how daily interactions with the Intellitrac GPS system shaped users' perceptions regarding operational performance optimization, cost savings, and time efficiency in heavy equipment management. The data offers rich insights into the complex human-technology interactions within a demanding industrial setting, serving as a qualitative complement to existing quantitative research on telematics technology adoption.

The dataset includes:
Anonymized Interview Transcripts: Verbatim transcripts from semi-structured in-depth interviews conducted with five key participants (an Operational Manager, a Maintenance Technician, a Field Supervisor, and two Heavy Equipment Operators). All personal identifiers and sensitive organizational details have been removed or replaced with pseudonyms to ensure participant privacy and ethical research practices.
Anonymized Observation Notes: Detailed notes from limited participant observations carried out in the coal yard and control room during real-time monitoring activities of heavy equipment (four bulldozers and one excavator). Contextual information that could identify specific individuals or locations has been generalized.
Coding Scheme and Thematic Analysis Structure: A clear and detailed outline of the codes, sub-themes, and four main emergent themes identified through the rigorous IPA analysis process. This structure illustrates the analytical journey from raw data to the study's findings, which include: "Shifting from Reactive to Proactive Vigilance," "Dual Dimension of Visibility: Operational Clarification and Erosion of Interpersonal Trust," "Liberating and Enslaving Data: Ambivalence in Number-Based Supervision," and "Systemic Barriers Towards Full Efficiency."
Processed Document Data (Aggregated/Generalized): Summarized or generalized data derived from the analysis of heavy equipment performance reports and Intellitrac GPS data records spanning from August to November 2025. Any proprietary or sensitive information from these documents has been removed or aggregated to maintain confidentiality.
This dataset is a valuable resource for researchers and practitioners interested in qualitative methodologies, the human aspects of technology adoption in heavy industries, human-computer interaction, organizational psychology, socio-technical systems, asset management, and operational efficiency within the context of power generation.