cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.n5tb2rbvz
title: Sp 3dpf scRNA-Seq

description: Identifying the molecular fingerprint of organismal cell types is key for
 understanding their function and evolution. Here, we use single cell RNA
 sequencing (scRNA-seq) to survey the cell types of the sea urchin early
 pluteus larva, representing an important developmental transition from
 non-feeding to feeding larva. We identify 21 distinct cell clusters,
 representing cells of the digestive, skeletal, immune, and nervous
 systems. Further subclustering of these reveal a highly detailed portrait
 of cell diversity across the larva, including the identification of
 neuronal cell types. We then validate important gene regulatory networks
 driving sea urchin development and reveal new domains of activity within
 the larval body. Focusing on neurons that co-express Pdx-1 and Brn1/2/4,
 we identify an unprecedented number of transcription factors shared by
 this population of neurons in sea urchin and vertebrate pancreatic cells.
 Using differential expression results from Pdx-1 knockdown experiments, we
 reconstruct the Pdx-1-driven gene regulatory network in these cells. We
 hypothesize that a similar network was active in an ancestral deuterostome
 cell type and then inherited by neuronal and pancreatic developmental
 lineages in sea urchins and vertebrates.
description: Single cell RNA sequencing was performed using the 10x Genomics
 single cell capturing system. Specimens from four independent biological
 replicates, ranging from 6000-20.000 cells, were loaded on the 10X
 Genomics Chromium Controller. Single cell cDNA libraries were prepared
 using the Chromium Single Cell 3’ Reagent Kit (Chemistries v2 and v3).
 Libraries were sequenced by GeneCore (EMBL, Heidelberg, Germany) for 75 bp
 paired-end reads (Illumina NextSeq 500), resulting in a mean of 88M reads.
 Cell Ranger Software Suite 3.0.2 (10x Genomics) was used for the alignment
 of the single-cell RNA-seq output reads and generation of feature, barcode
 and matrices. The genomic index was made in Cell Ranger using the S.
 purpuratus genome version 3.1. Cell Ranger output matrices for four
 biological and two technical replicates were used for further analysis in
 Seurat v3.0.2 R package.
DOI: 10.5061/dryad.sxksn0335
title: Phylogeography of Meimuna cicadas on continental and oceanic islands of Japan in the north-western Pacific region

description: Islands are a challenging habitat for organisms with weak dispersal power.
 We aimed to elucidate how geological history, geography, accidental
 dispersal events and species ecology affected different colonisation and
 genetic divergence patterns on continental and oceanic islands among
 species of a cicada group, which are poor dispersers.
 Location: Japanese Archipelago, Ogasawara Islands, Ryukyu
 Archipelago. Taxon: Cicadas of the
 genus Meimuna (Hemiptera: Cicadidae). We performed
 phylogenetic analysis, divergence time estimation, and ancestral area
 reconstruction using two mitochondrial and four nuclear gene sequences and
 population genetics analyses, including Bayesian skyline plotting using a
 mitochondrial gene sequence. Meimuna opalifera in the
 Japanese Archipelago, which was connected to the continent during the
 glacial periods, diverged from the continental populations 0.4 million
 years ago (Ma). In the Ryukyu Archipelago, which became disconnected from
 the continent earlier, two endemic species M.
 kuroiwae and M. oshimensis diverged 2.5 Ma;
 these species showed differences in intraspecific genetic differentiation
 and range expansion. Furthermore, M.
 iwasakiicolonised the South Ryukyus from Taiwan
 Island later than 1.4 Ma, whereas M. boninensis, which
 is endemic to the oceanic Ogasawara Islands, diverged from M.
 kuroiwae in the Middle Ryukyus 1.4 Ma. Genetic
 divergence among Meimuna species was larger on the
 continental islands that disconnected earlier, as was expected from the
 geological history of the islands. However, the pattern of intraspecific
 genetic differentiation differed between species within the same island
 region, possibly due to their ecological characteristics. In addition,
 colonisation of oceanic islands was achieved by long-distance (possibly
 wind-borne) dispersal from the continental islands. Thus, the formation of
 island cicada fauna was affected by islands’ geological history and
 species’ ecological characteristics, as well as accidental long-distance
 dispersal events.
DOI: 10.15468/dl.kcp5nk
title: Occurrence Download

description: A dataset containing 365341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aconitum"
 ]
}

 The dataset includes 365341 records from 1378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002864-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hyfe7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.0623 31.9334,26.9648 31.9498,26.9648 28.8496,35.2246 28.8496,35.4082 29.442,34.5107 31.7446,34.2089 31.83,33.6449 31.6171,32.7153 31.5989,32.1134 31.9914,31.0159 32.1003,30.233 31.9935,29.1426 31.3343,27.0623 31.9334))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010151-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tv3xrm
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 2cd829bb-b713-433d-99cf-64bef11e5b3e, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, f0b6a090-a4c6-11d8-9534-b8a03c50a862, 26a503f6-b337-424b-8d7a-b3ab11d2597f, 5184e024-2899-4635-884b-c9d769e72cdd, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, 8d861745-d64d-419e-a9ea-251f56a631a7, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Vasconcellea pubescens A.DC."
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016199-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10574011
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 5)

description: This is part 5 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.13855052
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 5)

description: This is part 5 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.13852757
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 4)

description: This is part 4 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.10573852
title: IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 4)

description: This is part 4 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: 10.15468/dl.awdncj
title: Occurrence Download

description: A dataset containing 1148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyplectron napoleonis"
 ]
}

 The dataset includes 1148 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033963-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btzk7g
title: Occurrence Download

description: A dataset containing 22263627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 22263627 records from 2358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033944-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8xyp9
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eleotris vittata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 41 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024845-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrucmp
title: Occurrence Download

description: A dataset containing 14802 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buceros rhinoceros Linnaeus, 1758"
 ]
}

 The dataset includes 14802 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011170-250525065834625/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/12013900
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.u3mcc9
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Calamagrostis epigeios Steud.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 226 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011171-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcxxhg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthoproctus Vaillant, 1888",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.5755 -13.3048,45.7911 -12.8231,45.6061 -12.3752,45.0241 -12.1382,44.9648 -12.0572,44.9648 -13.45,45.02 -13.4845,45.5755 -13.3048))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011172-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15559846
title: THE CORRELATION BETWEEN ECONOMIC DEVELOPMENT AND HUMAN CAPITAL
DOI: 10.5281/zenodo.15559847
title: THE CORRELATION BETWEEN ECONOMIC DEVELOPMENT AND HUMAN CAPITAL
DOI: 10.15468/dl.xfhw39
title: Occurrence Download

description: A dataset containing 730507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium palustre (L.) Scop.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 730507 records from 1962 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011161-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxakdr
title: Occurrence Download

description: A dataset containing 1565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material citation, Specimen)",
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell.",
 "Year 1000-2025"
 ]
}

 The dataset includes 1565 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001625-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4thzv
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Material citation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell."
 ]
}

 The dataset includes 1639 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001626-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99pg96
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corokia cotoneaster",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 307 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008788-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8t7vx
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abrotanella nivigena",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 97 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008790-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zmqr5
title: Occurrence Download

description: A dataset containing 50327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is Shandong",
 "TaxonKey is Aves",
 "Year 2020-2025"
 ]
}

 The dataset includes 50327 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008761-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36682b
title: Occurrence Download

description: A dataset containing 42 records in GBIF matching the query:
SELECT
 '242' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 12.166598047573723
 AND decimalLatitude &lt;= 16.25916876999866
 AND decimalLongitude &gt;= 45.534006342908626
 AND decimalLongitude &lt;= 51.16237982624578
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 42 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008785-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.