cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10570392
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 2)

description: This is part 2 of the IDNet dataset of our research paper "IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. Here's a link to the paper: https://ieeexplore.ieee.org/document/10825017

Citation:

@inproceedings{xie2024idnet,  title={IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation},  author={Xie, Lulu and Wang, Yancheng and Guan, Hong and Nag, Soham and Goel, Rajeev and Swamy, Niranjan and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and others},  booktitle={2024 IEEE International Conference on Big Data (BigData)},  pages={2244--2253},  year={2024},  organization={IEEE}}

@article{guan2024idnet,  title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},  author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},  journal={arXiv preprint arXiv:2408.01690},  year={2024}}
description: Successful analysis and fraud detection of identity documents (e.g., passports, driver's licenses, and identity cards) is critical to prevent identity theft and ensure security for online platforms. We created a new benchmark dataset of identity documents to facilitate privacy-preserving fraud detection. The dataset contains 597,900 images (about 400 gigabytes) of synthetically generated identity documents, including driver licenses from 10 U.S. States and passport/ID cards from 10 European countries. 

Due to the large dataset size, we divided it into multiple parts, all available on Zenodo. Each zip file contains the original synthetic document, four fraud patterns (text field replacement, face morphing, portrait substitution, mixed fraud patterns), and metadata.

All portrait images in this dataset are synthetic and are provided by https://generated.photos/
DOI: 10.5281/zenodo.13852263
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 2)

description: This is part 2 of the IDNet dataset of our research paper "IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. Here's a link to the paper: https://ieeexplore.ieee.org/document/10825017

Citation:

@inproceedings{xie2024idnet,  title={IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation},  author={Xie, Lulu and Wang, Yancheng and Guan, Hong and Nag, Soham and Goel, Rajeev and Swamy, Niranjan and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and others},  booktitle={2024 IEEE International Conference on Big Data (BigData)},  pages={2244--2253},  year={2024},  organization={IEEE}}

@article{guan2024idnet,  title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},  author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},  journal={arXiv preprint arXiv:2408.01690},  year={2024}}
description: Successful analysis and fraud detection of identity documents (e.g., passports, driver's licenses, and identity cards) is critical to prevent identity theft and ensure security for online platforms. We created a new benchmark dataset of identity documents to facilitate privacy-preserving fraud detection. The dataset contains 597,900 images (about 400 gigabytes) of synthetically generated identity documents, including driver licenses from 10 U.S. States and passport/ID cards from 10 European countries. 

Due to the large dataset size, we divided it into multiple parts, all available on Zenodo. Each zip file contains the original synthetic document, four fraud patterns (text field replacement, face morphing, portrait substitution, mixed fraud patterns), and metadata.

All portrait images in this dataset are synthetic and are provided by https://generated.photos/
DOI: 10.5281/zenodo.10611633
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 1)

description: This is part 1 of the IDNet dataset of our research paper "IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. Here's a link to the paper: https://ieeexplore.ieee.org/document/10825017

Citation:

@inproceedings{xie2024idnet,  title={IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation},  author={Xie, Lulu and Wang, Yancheng and Guan, Hong and Nag, Soham and Goel, Rajeev and Swamy, Niranjan and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and others},  booktitle={2024 IEEE International Conference on Big Data (BigData)},  pages={2244--2253},  year={2024},  organization={IEEE}}

@article{guan2024idnet,  title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},  author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},  journal={arXiv preprint arXiv:2408.01690},  year={2024}}
DOI: 10.5281/zenodo.13854897
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 1)

description: This is part 1 of the IDNet dataset of our research paper "IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. Here's a link to the paper: https://ieeexplore.ieee.org/document/10825017

Citation:

@inproceedings{xie2024idnet,  title={IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation},  author={Xie, Lulu and Wang, Yancheng and Guan, Hong and Nag, Soham and Goel, Rajeev and Swamy, Niranjan and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and others},  booktitle={2024 IEEE International Conference on Big Data (BigData)},  pages={2244--2253},  year={2024},  organization={IEEE}}

@article{guan2024idnet,  title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},  author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},  journal={arXiv preprint arXiv:2408.01690},  year={2024}}
DOI: 10.15468/dl.d29cms
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agalychnis lemur"
 ]
}

 The dataset includes 515 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033966-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13736186
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.gtwwny
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinodon salinus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033967-251025141854904/datasets/export for details.
DOI: 10.15468/dl.yxudfz
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Dimorphotheca fruticosa"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033968-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17612795
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114u Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114u Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17612796
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114u Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114u Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.yuhhdx
title: Occurrence Download

description: A dataset containing 51299 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla cinerea"
 ]
}

 The dataset includes 51299 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033957-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbcwew
title: Occurrence Download

description: A dataset containing 1275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Cymbalaria muralis"
 ]
}

 The dataset includes 1275 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033969-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5ydwy
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 166 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033970-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17612777
title: Customer Financial Profiles

description: This dataset contains 20,000 fully synthetic customer financial profiles from India, generated for academic, research, data analysis, machine learning, and fintech modeling purposes.It includes demographic information, income details, debt levels, credit attributes, and transaction records.

All data is artificially generated and does not contain any real or identifiable personal information.Cities, states, and PIN codes are synthetically matched to resemble real Indian geography for research realism.

The dataset is cleaned, standardized, and validated for public release.

Key Features



✔ 20,000 synthetic customer profiles

✔ Complete, clean, non-missing data

✔ Indian PIN codes extracted and cleaned

✔ Consistent date format (YYYY-MM-DD)

✔ Gender standardized

✔ Ready for machine learning and analytics


Use Cases



Credit scoring models

Customer segmentation

Fraud detection research

Financial analytics

Machine learning training

Educational projects

Simulation and benchmarking


Generation Method

Data is algorithmically generated using:



Randomized demographic distributions

Income and debt probability modeling

Synthetic address generation with Indian geography

Transaction simulation based on spending patterns


No real individuals, locations, or organizations are represented.
DOI: 10.5281/zenodo.17612776
title: Customer Financial Profiles

description: This dataset contains 20,000 fully synthetic customer financial profiles from India, generated for academic, research, data analysis, machine learning, and fintech modeling purposes.It includes demographic information, income details, debt levels, credit attributes, and transaction records.

All data is artificially generated and does not contain any real or identifiable personal information.Cities, states, and PIN codes are synthetically matched to resemble real Indian geography for research realism.

The dataset is cleaned, standardized, and validated for public release.

Key Features



✔ 20,000 synthetic customer profiles

✔ Complete, clean, non-missing data

✔ Indian PIN codes extracted and cleaned

✔ Consistent date format (YYYY-MM-DD)

✔ Gender standardized

✔ Ready for machine learning and analytics


Use Cases



Credit scoring models

Customer segmentation

Fraud detection research

Financial analytics

Machine learning training

Educational projects

Simulation and benchmarking


Generation Method

Data is algorithmically generated using:



Randomized demographic distributions

Income and debt probability modeling

Synthetic address generation with Indian geography

Transaction simulation based on spending patterns


No real individuals, locations, or organizations are represented.
DOI: 10.15468/dl.xtfjmh
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.3188 22.19913, -106.1688 22.19913, -106.1688 22.34913, -106.3188 22.34913, -106.3188 22.19913))"
 ]
}

 The dataset includes 176 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033972-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppudwm
title: Occurrence Download

description: A dataset containing 707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Oxalis articulata"
 ]
}

 The dataset includes 707 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033971-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxbm5k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio carpio",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033973-251025141854904/datasets/export for details.
DOI: 10.15468/dl.xbjzk8
title: Occurrence Download

description: A dataset containing 257930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-10-20",
 "EventDate is less than or equal to 2025-11-19",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 257930 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033962-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8nfbp
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.1688 22.19913, -106.0188 22.19913, -106.0188 22.34913, -106.1688 22.34913, -106.1688 22.19913))"
 ]
}

 The dataset includes 74 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033974-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-2th1-6q44
title: Regional Accessibility of Post-Earthquake Emergency Healthcare in Metro Vancouver, BC

description: The system under investigation is the regional network of emergency healthcare facilities and transportation infrastructure in Metro Vancouver, British Columbia. This dataset was developed to support a regional assessment of healthcare accessibility following a major earthquake hazard, specifically under a suite of physics-based Cascadia Subduction Zone (CSZ) M9 earthquake scenarios. The dataset integrates spatial information on hospitals with emergency departments, bridges, and the regional road network, along with estimated seismic damage states for healthcare and bridge assets based on seismic fragility analysis.

The data address the research problem of quantifying how earthquake-induced physical damage affects access to critical medical services. Hospital functionality and bridge performance are combined with accessibility metrics based on the Enhanced Two-Step Floating Catchment Area (E2SFCA) method to evaluate system-level interdependencies and spatial variations in emergency healthcare availability after an earthquake.

The dataset can be reused to reproduce or validate regional accessibility assessments or incorporate information for multi-hazard assessments of regional infrastructure. The data are valuable for researchers, infrastructure planners, and emergency management professionals seeking to improve the resilience of interconnected health and transportation systems. All documentation required for use of the data set is included in the Data Report.
DOI: 10.5281/zenodo.14962525
title: Englacial Radiostratigraphy Dataset for the JoGlac Article "Holocene hydrological evolution of subglacial Lake Snow Eagle, East Antarctica implied by englacial radio-stratigraphy"

description: This dataset provides the depth information for all the IRHs presented in Yan et al., 2025, Journal of Glaciology. We organize the data files in two ways: by radar transect (in subfolder "Lines"), and by IRH (in subfolder "Horizons"). All depth information is provided in meters, and reflects the vertical distance between the IRH and the ice surface.
DOI: 10.5281/zenodo.17612805
title: Englacial Radiostratigraphy Dataset for the JoGlac Article "Holocene hydrological evolution of subglacial Lake Snow Eagle, East Antarctica implied by englacial radio-stratigraphy"

description: This dataset provides the depth information for all the IRHs presented in Yan et al., 2025, Journal of Glaciology. We organize the data files in two ways: by radar transect (in subfolder "Lines"), and by IRH (in subfolder "Horizons"). All depth information is provided in meters, and reflects the vertical distance between the IRH and the ice surface.
DOI: 10.15468/dl.nfjaaj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio nudus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033975-251025141854904/datasets/export for details.
DOI: 10.15468/dl.66f27n
title: Occurrence Download

description: A dataset containing 76636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.06985 19.16746,-101.59938 19.16746,-101.59938 19.52467,-102.06985 19.52467,-102.06985 19.16746))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 76636 records from 400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033959-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17612591
title: Early-Season Field Reference Dataset of Croplands in a Consolidated Agricultural Frontier in the Brazilian Cerrado

description: We present the Goiatuba Land Use and Land Cover Dataset containing plot boundaries and reference information collected during the 2025/2026 Brazilian crop calendar. It is provided as a single GeoPackage (.gpkg) file. The main layer comprises 578 plots, each labeled according to the observed  land use and land cover (LULC) category. This dataset is the supplementary data of a paper submitted at data (MDPI) in November/2025.

This was partially financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil, Finance Code 001, grants # 88887.948252/2024-00 and 88881.183739/2025-01, as well as by the Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF), grants # 00193.00002276/2022-90 “Demanda Espontânea” and 00193.00002586/2022-12 “AgroLearning”.
description: Name of field attributes and their corresponding description.








Feature



Description





fid



Unique identifier of each field





in_situ



Crop type or land use and land cover observed in situ





date



Date of the field observation





area_ha



Polygon area in hectares





reference



Identifies if the polygon had GPS coordinates






Ancillary layers of water bodies, urban areas, fragments of natural vegetation, and other features were included, enhanced by the high-resolution satellite images made available in the Google Maps platform to identify human infrastructure (e.g., sugarcane industry).
DOI: 10.15468/dl.5z6twf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.0188 22.19913, -105.8688 22.19913, -105.8688 22.34913, -106.0188 22.34913, -106.0188 22.19913))"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033977-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7qtk9
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus rubrofuscus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033978-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17612813
title: Serum Interleukin-8 Levels Relate to Disease Activity in Patients with Rheumatoid Arthritis

description: Dataset corresponding to the manuscript "Serum Interleukin-8 Levels Relate to Disease Activity in Patients with Rheumatoid Arthritis"
DOI: 10.5281/zenodo.17612814
title: Serum Interleukin-8 Levels Relate to Disease Activity in Patients with Rheumatoid Arthritis

description: Dataset corresponding to the manuscript "Serum Interleukin-8 Levels Relate to Disease Activity in Patients with Rheumatoid Arthritis"
DOI: 10.15468/dl.v9x2ch
title: Occurrence Download

description: A dataset containing 380773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podarcis muralis"
 ]
}

 The dataset includes 380773 records from 4007 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033955-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.