cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ktbthg777x
title: Synthetic Banking Transaction Dataset with Multi-Pattern Fraud Labels for Machine Learning Research

description: This dataset contains synthetically generated banking transaction records . It is designed specifically for fraud detection research, algorithm development, and educational purposes. The dataset contains realistic banking operations while embedding multiple types of fraud patterns that reflect real-world financial fraud scenarios.

Key Features:
1. 1,000,000 transaction records with ground-truth fraud labels.
2. 100,000 unique synthetic customer profiles and 20,000 merchant entities.
3. Four embedded fraud pattern types: card testing, account takeover, money laundering rings, and geographic anomalies.
4. Fraud rate: ~0.5% (configurable).
5. Rich feature set: temporal, geographical, behavioral, and network attributes.
6. Data format: CSV and Parquet, UTF-8 encoded.
7. Timestamps: ISO 8601 format with UTC timezone.
8. Fully synthetic data; no privacy concerns.

Dataset Characteristics:
1. Temporal range: 1 year (configurable).
2. Scalable generation methodology: allows creation of larger or smaller datasets.
3. Development and benchmarking of fraud detection algorithms.
4. Research on imbalanced classification and graph-based fraud detection.
5. Temporal and sequential pattern analysis.
6. Geographic anomaly detection.
7. Educational purposes in ML, data science, and fintech courses.
8. Testing ML pipelines and feature engineering strategies.

Advantages:
1. Privacy-compliant: no real customer data, eliminating GDPR/PCI-DSS concerns.
2. Ground-truth labels: enables accurate model evaluation.
3. Reproducible: consistent dataset for comparative studies.
4. Multi-pattern fraud: supports comprehensive algorithm testing.

Limitations:
1. Synthetic data approximates real-world patterns; actual fraud scenarios may be more complex.
2. Geographic coordinates are randomized within realistic ranges; they do not represent actual merchant locations.
3. All transactions are in USD.
I4. ntended for research and educational purposes; production systems require validation on real-world data.

Potential Applications:
1. Fraud detection software testing for banks and fintech companies.
2. Algorithm benchmarking for machine learning competitions or research.
3. Simulation of financial networks to study systemic risk and money laundering.
4. Behavioral analytics to understand customer transaction patterns.
5. Training data for anomaly detection models in payment systems.

Acknowledgments
Generated using Python scientific stack (NumPy, Pandas) and Faker library for synthetic data generation.
DOI: 10.17632/ktbthg777x.2
title: Synthetic Banking Transaction Dataset with Multi-Pattern Fraud Labels for Machine Learning Research

description: This dataset contains synthetically generated banking transaction records . It is designed specifically for fraud detection research, algorithm development, and educational purposes. The dataset contains realistic banking operations while embedding multiple types of fraud patterns that reflect real-world financial fraud scenarios.

Key Features:
1. 1,000,000 transaction records with ground-truth fraud labels.
2. 100,000 unique synthetic customer profiles and 20,000 merchant entities.
3. Four embedded fraud pattern types: card testing, account takeover, money laundering rings, and geographic anomalies.
4. Fraud rate: ~0.5% (configurable).
5. Rich feature set: temporal, geographical, behavioral, and network attributes.
6. Data format: CSV and Parquet, UTF-8 encoded.
7. Timestamps: ISO 8601 format with UTC timezone.
8. Fully synthetic data; no privacy concerns.

Dataset Characteristics:
1. Temporal range: 1 year (configurable).
2. Scalable generation methodology: allows creation of larger or smaller datasets.
3. Development and benchmarking of fraud detection algorithms.
4. Research on imbalanced classification and graph-based fraud detection.
5. Temporal and sequential pattern analysis.
6. Geographic anomaly detection.
7. Educational purposes in ML, data science, and fintech courses.
8. Testing ML pipelines and feature engineering strategies.

Advantages:
1. Privacy-compliant: no real customer data, eliminating GDPR/PCI-DSS concerns.
2. Ground-truth labels: enables accurate model evaluation.
3. Reproducible: consistent dataset for comparative studies.
4. Multi-pattern fraud: supports comprehensive algorithm testing.

Limitations:
1. Synthetic data approximates real-world patterns; actual fraud scenarios may be more complex.
2. Geographic coordinates are randomized within realistic ranges; they do not represent actual merchant locations.
3. All transactions are in USD.
I4. ntended for research and educational purposes; production systems require validation on real-world data.

Potential Applications:
1. Fraud detection software testing for banks and fintech companies.
2. Algorithm benchmarking for machine learning competitions or research.
3. Simulation of financial networks to study systemic risk and money laundering.
4. Behavioral analytics to understand customer transaction patterns.
5. Training data for anomaly detection models in payment systems.

Acknowledgments
Generated using Python scientific stack (NumPy, Pandas) and Faker library for synthetic data generation.
DOI: 10.6084/m9.figshare.30225937
title: <b>Modifiable risk factors for inflammatory bowel disease in Kuwait: a cross-sectional analysis</b>

description: Inflammatory bowel disease (IBD), a lifelong inflammatory condition of the gastrointestinal tract, is influenced by complex interactions between genetics and environmental exposures. While IBD rates have increased globally, largely due to Westernized lifestyle shifts, the contributors to IBD in Kuwait remain poorly understood. This cross-sectionalstudy aimed to explore lifestyle, dietary, and occupational exposures associated with IBD in this unique population. A total of 520 adults (412 with IBD and 108 without IBD) completed a 40-item online questionnaire assessing early-life, lifestyle, occupational, and dietary exposures. Of the IBD participants, 174 had ulcerative colitis (UC) and 238 had Crohn’s disease (CD). The questionnaire was adapted from a previously validated tool, but was not formally validated in the Kuwaiti population. Associations between these factors and IBD status were analyzed using multivariable logistic regression with adjusted odds ratios (AORs) and 95% confidence intervals (CIs) reported after adjusting for potential confounders. Factors associated with increased odds of IBD included male sex (AOR=2.487, p=0.005), younger age (AOR=0.964, p=0.004), positive family history (AOR=2.141, p=0.023), mentally demanding jobs (AOR=1.818, p=0.039), alcohol consumption (AOR=6.508, p=0.016), frequent spicy food intake 1-2 times/week (AOR=2.631, p=0.008), and prior parasitic infection (AOR=0.484, p=0.042). A history of appendectomy was also associated (AOR=7.158, p=0.003). Several modifiable exposures were found to be associated with IBD status in Kuwait. These findings underscore the multifactorial nature of IBD. However, the cross-sectional design, reliance on self-reporting, and use of a non-validated instrument limit casual interpretation. Future longitudinal research is needed to better understand temporal relationships.
DOI: 10.6084/m9.figshare.30225937.v4
title: <b>Modifiable risk factors for inflammatory bowel disease in Kuwait: a cross-sectional analysis</b>

description: Inflammatory bowel disease (IBD), a lifelong inflammatory condition of the gastrointestinal tract, is influenced by complex interactions between genetics and environmental exposures. While IBD rates have increased globally, largely due to Westernized lifestyle shifts, the contributors to IBD in Kuwait remain poorly understood. This cross-sectionalstudy aimed to explore lifestyle, dietary, and occupational exposures associated with IBD in this unique population. A total of 520 adults (412 with IBD and 108 without IBD) completed a 40-item online questionnaire assessing early-life, lifestyle, occupational, and dietary exposures. Of the IBD participants, 174 had ulcerative colitis (UC) and 238 had Crohn’s disease (CD). The questionnaire was adapted from a previously validated tool, but was not formally validated in the Kuwaiti population. Associations between these factors and IBD status were analyzed using multivariable logistic regression with adjusted odds ratios (AORs) and 95% confidence intervals (CIs) reported after adjusting for potential confounders. Factors associated with increased odds of IBD included male sex (AOR=2.487, p=0.005), younger age (AOR=0.964, p=0.004), positive family history (AOR=2.141, p=0.023), mentally demanding jobs (AOR=1.818, p=0.039), alcohol consumption (AOR=6.508, p=0.016), frequent spicy food intake 1-2 times/week (AOR=2.631, p=0.008), and prior parasitic infection (AOR=0.484, p=0.042). A history of appendectomy was also associated (AOR=7.158, p=0.003). Several modifiable exposures were found to be associated with IBD status in Kuwait. These findings underscore the multifactorial nature of IBD. However, the cross-sectional design, reliance on self-reporting, and use of a non-validated instrument limit casual interpretation. Future longitudinal research is needed to better understand temporal relationships.
DOI: 10.6084/m9.figshare.30225937.v3
title: <b>Modifiable risk factors for inflammatory bowel disease in Kuwait: a cross-sectional analysis</b>

description: Inflammatory bowel disease (IBD), a lifelong inflammatory condition of the gastrointestinal tract, is influenced by complex interactions between genetics and environmental exposures. While IBD rates have increased globally, largely due to Westernized lifestyle shifts, the contributors to IBD in Kuwait remain poorly understood. This cross-sectionalstudy aimed to explore lifestyle, dietary, and occupational exposures associated with IBD in this unique population. A total of 520 adults (412 with IBD and 108 without IBD) completed a 40-item online questionnaire assessing early-life, lifestyle, occupational, and dietary exposures. Of the IBD participants, 174 had ulcerative colitis (UC) and 238 had Crohn’s disease (CD). The questionnaire was adapted from a previously validated tool, but was not formally validated in the Kuwaiti population. Associations between these factors and IBD status were analyzed using multivariable logistic regression with adjusted odds ratios (AORs) and 95% confidence intervals (CIs) reported after adjusting for potential confounders. Factors associated with increased odds of IBD included male sex (AOR=2.487, p=0.005), younger age (AOR=0.964, p=0.004), positive family history (AOR=2.141, p=0.023), mentally demanding jobs (AOR=1.818, p=0.039), alcohol consumption (AOR=6.508, p=0.016), frequent spicy food intake 1-2 times/week (AOR=2.631, p=0.008), and prior parasitic infection (AOR=0.484, p=0.042). A history of appendectomy was also associated (AOR=7.158, p=0.003). Several modifiable exposures were found to be associated with IBD status in Kuwait. These findings underscore the multifactorial nature of IBD. However, the cross-sectional design, reliance on self-reporting, and use of a non-validated instrument limit casual interpretation. Future longitudinal research is needed to better understand temporal relationships.
DOI: 10.15468/dl.t6nkxc
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena limata",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 206 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012695-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wtxnmtvmw7
title: A Medicinal Plant Leaf Image Dataset from Bangladesh for Deep Learning–Based Recognition

description: The dataset titled “A Medicinal Plant Leaf Image Dataset from Bangladesh for Deep Learning–Based Recognition” comprises a total of 6,419 high-resolution JPG images of six medicinal plant species collected from the rural jungle area of Guadanga village, Phulpur, Mymensingh, Bangladesh.
Leaf samples were photographed indoors under controlled lighting conditions with varied natural backgrounds using Google Pixel 5 and Google Pixel 6a smartphones to ensure consistent color fidelity and sharpness suitable for computer-vision and deep-learning research.

The dataset is organized into six species-specific folders, each representing a commonly found medicinal plant in Bangladesh:

• Centella Asiatica
• Coccinia Grandis
• Eclipta Prostrata
• Mikania Micrantha
• Murraya Koenigii
• Stephania Japonica

The collection includes 1,678 original images, 1,678 annotated images, and 3,063 augmented images generated through horizontal and vertical flipping, grayscale conversion, and geometric transformations.
All images were auto-oriented and resized uniformly to 640 × 640 pixels to maintain consistency across the dataset.
These augmentations increase data diversity and support the development of robust deep-learning models for medicinal-leaf classification, detection, and segmentation.
DOI: 10.17632/wtxnmtvmw7.3
title: A Medicinal Plant Leaf Image Dataset from Bangladesh for Deep Learning–Based Recognition

description: The dataset titled “A Medicinal Plant Leaf Image Dataset from Bangladesh for Deep Learning–Based Recognition” comprises a total of 6,419 high-resolution JPG images of six medicinal plant species collected from the rural jungle area of Guadanga village, Phulpur, Mymensingh, Bangladesh.
Leaf samples were photographed indoors under controlled lighting conditions with varied natural backgrounds using Google Pixel 5 and Google Pixel 6a smartphones to ensure consistent color fidelity and sharpness suitable for computer-vision and deep-learning research.

The dataset is organized into six species-specific folders, each representing a commonly found medicinal plant in Bangladesh:

• Centella Asiatica
• Coccinia Grandis
• Eclipta Prostrata
• Mikania Micrantha
• Murraya Koenigii
• Stephania Japonica

The collection includes 1,678 original images, 1,678 annotated images, and 3,063 augmented images generated through horizontal and vertical flipping, grayscale conversion, and geometric transformations.
All images were auto-oriented and resized uniformly to 640 × 640 pixels to maintain consistency across the dataset.
These augmentations increase data diversity and support the development of robust deep-learning models for medicinal-leaf classification, detection, and segmentation.
DOI: 10.17632/45wd3w373h
title: Climate signals in coral lipids: Temperature-driven variations in lipid distribution and δ¹³C of fatty acids

description: Coral reef ecosystems are extremely sensitive to changes in environmental conditions, especially sea-surface temperature. Although the content and distribution of lipids in modern corals are known to be temperature-sensitive, the quantitative relationship between temperature and various lipid compounds has not been systematically investigated to date. Here, we provide the temperature sensitivity of the distributions and concentrations of fatty acids (FAs) and sterols in scleractinian corals from Weizhou Island.
DOI: 10.17632/45wd3w373h.1
title: Climate signals in coral lipids: Temperature-driven variations in lipid distribution and δ¹³C of fatty acids

description: Coral reef ecosystems are extremely sensitive to changes in environmental conditions, especially sea-surface temperature. Although the content and distribution of lipids in modern corals are known to be temperature-sensitive, the quantitative relationship between temperature and various lipid compounds has not been systematically investigated to date. Here, we provide the temperature sensitivity of the distributions and concentrations of fatty acids (FAs) and sterols in scleractinian corals from Weizhou Island.
DOI: 10.17632/y8ggtg3xf2
title: Lymphocytic UV Autofluorescence: A Novel Ultraviolet-Induced Fluorescence Dermoscopy Finding in Lichen Nitidus – A Series of Two Cases.

description: Dynamic blinking/winking of the brown dots–corresponding histopathologically to the ball-like lymphocytic infiltrates–into blue-white fluorescence (yellow arrows) when switching from cross-polarised mode (DermLite DL5, coupled with iPhone 12 camera) to UVFD (DermLite DL5 Wood-Mode 365 nm, coupled with iPhone 12 camera), illustrating the Lymphocytic UV Autofluorescence of Lichen Nitidus.
DOI: 10.17632/y8ggtg3xf2.1
title: Lymphocytic UV Autofluorescence: A Novel Ultraviolet-Induced Fluorescence Dermoscopy Finding in Lichen Nitidus – A Series of Two Cases.

description: Dynamic blinking/winking of the brown dots–corresponding histopathologically to the ball-like lymphocytic infiltrates–into blue-white fluorescence (yellow arrows) when switching from cross-polarised mode (DermLite DL5, coupled with iPhone 12 camera) to UVFD (DermLite DL5 Wood-Mode 365 nm, coupled with iPhone 12 camera), illustrating the Lymphocytic UV Autofluorescence of Lichen Nitidus.
DOI: 10.17632/ddn3vfwr8z
title: Topical tacrolimus for superficial tufted angioma: A randomized clinical trial

description: Tufted angioma (TA) is a rare vascular tumor that occurs predominantly in infancy or early childhood. However, no standard therapeutic management currently exists. Therefore, this study aimed to evaluate the efficacy and safety of topical tacrolimus at different concentrations for treating TA.
DOI: 10.17632/ddn3vfwr8z.1
title: Topical tacrolimus for superficial tufted angioma: A randomized clinical trial

description: Tufted angioma (TA) is a rare vascular tumor that occurs predominantly in infancy or early childhood. However, no standard therapeutic management currently exists. Therefore, this study aimed to evaluate the efficacy and safety of topical tacrolimus at different concentrations for treating TA.
DOI: 10.5281/zenodo.17512448
title: Dziedzictwo George'a Orwella: postkomunistyczna dystopia w Rosji Ukrainie i Białorusi

description: Dziedzictwo George'a Orwella: postkomunistyczna dystopia w Rosji Ukrainie i Białorusi

 

 

These researches were funded in whole or in part by National Science Centre, Poland [2022/47/B/HS2/01244]. For the purpose of Open Access, the authors haveapplied a CC-BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.
DOI: 10.5281/zenodo.17512447
title: Dziedzictwo George'a Orwella: postkomunistyczna dystopia w Rosji Ukrainie i Białorusi

description: Dziedzictwo George'a Orwella: postkomunistyczna dystopia w Rosji Ukrainie i Białorusi

 

 

These researches were funded in whole or in part by National Science Centre, Poland [2022/47/B/HS2/01244]. For the purpose of Open Access, the authors haveapplied a CC-BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.
DOI: 10.17632/76bbc3svbj.1
title: From silos to markets: How data factor marketization drives digital-physical technology integration

description: Paper Title:
From silos to markets: How data factor marketization drives digital-physical technology integration
Authors:
Pengfei Zhang (Xiamen University of Technology)
Ruilin Zhang (Xiamen University of Technology)
Zitong Liu (Xiamen University of Technology)
Date: October 31, 2025
Overview:
This replication package contains all publicly available synthetic data, Stata codes, and documentation necessary to reproduce the main empirical results reported in the above-mentioned paper.
The study investigates how the establishment of data-trading platforms promotes the digital-physical technology integration (DPTI) of Chinese A-share listed firms from 2008 to 2023, using a staggered DID framework. The package is designed to enhance research transparency and facilitate independent verification of all statistical findings.
DOI: 10.15468/dl.m33wd6
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "HasCoordinate is true",
 "Country is Poland"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012696-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcwrhp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "HasCoordinate is true",
 "Country is Czechia"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012697-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bqa6p
title: Occurrence Download

description: A dataset containing 104110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lophotriorchis kienerii, Lophura leucomelanos, Lophura nycthemera, Loriculus vernalis, Loxia curvirostra, Luscinia megarhynchos, Luscinia svecica, Macropygia tenuirostris, Macropygia unchall, Marmaronetta angustirostris, Melanocorypha mongolica, Mergellus albellus, Merops leschenaulti, Merops orientalis, Merops philippinus, Merops viridis, Metopidius indicus, Microcarbo niger, Microhierax caerulescens, Microhierax melanoleucos, Milvus migrans, Mirafra javanica, Moupinia poecilotis, Mulleripicus pulverulentus, Neophron percnopterus)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 104110 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012662-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17491984
title: Vilvoorde, historisch kerkhof O.-L.-V. van Goede Hoop-kerk: bijlagen bij het archeologisch eindverslag

description: Bijlagen bij het eindverslag van een toevalsvondst op het historische kerkhof van de O.-L.-V. van Goede Hoop-kerk te Vilvoorde (Heldenplein). Dit eindverlag is gepubliceerd als:   



Dolman N., Bakx R., Cousserier K., De Groote K., Haneca K., Houdart M., Lentacker A., Pieters M., Stern C., Vanden Berghe I., Vandorpe M., Verbeelen G. & Vynckier G. 2025: Archeologisch onderzoek op het historische kerkhof van de O.-L.-V. van Goede Hoop-kerk te Vilvoorde (prov. Vlaams-Brabant). Eindverslag van een toevalsvondst, Onderzoeksrapporten agentschap Onroerend Erfgoed 373, Brussel. https://doi.org/10.55465/LLUK1463 


BIJLAGEN MET DEELSTUDIES (hoofdstuk 11 van het eindverslag)Het zip-bestand bevat de volgende documenten als deelstudies bij het eindverslag:



Profielbeschrijving en analyse <Profielbeschrijving_Analyse.pdf>

Tabel grafritueel <Tabel_Grafritueel.xlsx>

Fysisch-antropologisch rapport <FysischAntropologisch_Rapport.pdf>

Fysisch-antropologisch rapport – Skeletformulieren in situ <: Skeletformulieren_Analyse.pdf>

Fysisch-antropologisch rapport – Exceltabel <FysischAntropologisch_Exceltabel.xlsx>

14C-Dateringen en dieetisotopen <14C_Dateringen_Dieetisotopen.pdf>

Harris-matrices <Harris_Matrices.pdf>

Tabel overzicht alle dateringen <Overzicht_Dateringen.xlsx>

Conservatie- en conditierapport <Conservatie_Conditierapport.pdf>

Tabel Inventaris metaalvondsten <Inventaris_Metaalvondsten.xlsx>

Catalogus determinatie munten <Catalogus_Munten.pdf>

Tabel Inventaris aardewerk <Inventaris_Aardewerk.xlsx>

Tabel Inventaris glas <Inventaris_Glas.xlsx>

Tabel Houtsoortbepaling <Houtsoortbepaling.pdf>

Textiel analyserapport <Textiel_Analyserapport.pdf>