cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7654431
title: CHEN-AND: A Labeled Dataset for Chinese and English Author Name Disambiguation

description: CHEN-AND is a labeled dataset for Chinese and English author (scholar) name disambiguation, which is provided by X-MOL, a scholarly information platform that integrates many authors and their published papers. In addition to data labels, the dataset also contains metadata of Chinese and English papers, which are provided by the English literature database PubMed and the Chinese literature database SinoMed respectively. SinoMed and PubMed are in the same domain, biomedicine.<br> For details on how to create this dataset, please refer to this repository on my GitHub page.
DOI: 10.5281/zenodo.13893633
title: CHEN-AND: A Labeled Dataset for Chinese and English Joint Author Name Disambiguation

description: Abstract: Author name disambiguation (AND) is an important problem in literature databases and is even more prominent in the cross-language (database) context. Extensive research has been conducted in the academic community to eliminate such ambiguity. However, the existing research mainly focuses on monolingual literature, with less attention paid to author disambiguation in cross-language environments. In this regard, this study focuses on a typical cross-language author disambiguation task - Chinese and English joint author disambiguation. We first propose an automated dataset construction method for Chinese-English literature joint AND using online open resources, with this method, we create a dataset named CHEN-AND for joint Chinese and English author disambiguation. Then we propose a merging-first-then-disambiguation (MFTD)--based disambiguation framework and evaluate several variants of this method on the test dataset. For details on building this dataset, please refer to this repository on my GitHub page.
DOI: 10.5281/zenodo.7654430
title: CHEN-AND: A Labeled Dataset for Chinese and English Joint Author Name Disambiguation

description: Abstract: Author name disambiguation (AND) is an important problem in literature databases and is even more prominent in the cross-language (database) context. Extensive research has been conducted in the academic community to eliminate such ambiguity. However, the existing research mainly focuses on monolingual literature, with less attention paid to author disambiguation in cross-language environments. In this regard, this study focuses on a typical cross-language author disambiguation task - Chinese and English joint author disambiguation. We first propose an automated dataset construction method for Chinese-English literature joint AND using online open resources, with this method, we create a dataset named CHEN-AND for joint Chinese and English author disambiguation. Then we propose a merging-first-then-disambiguation (MFTD)--based disambiguation framework and evaluate several variants of this method on the test dataset. For details on building this dataset, please refer to this repository on my GitHub page.
DOI: 10.15468/dl.6wrz26
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((31.89648 31.13997, 32.04834 31.13997, 32.04834 31.20004, 31.89648 31.20004, 31.89648 31.13997))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043629-240906103802322/datasets/export for details.
DOI: 10.15468/dl.k8yz6y
title: Occurrence Download

description: A dataset containing 3106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((39.0748 51.5905, 39.35365 51.5905, 39.35365 51.75499, 39.0748 51.75499, 39.0748 51.5905))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3106 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043630-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7jnm8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((29.17092 -5.972853, 29.24073 -5.972853, 29.24073 -5.867498, 29.17092 -5.867498, 29.17092 -5.972853))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043631-240906103802322/datasets/export for details.
DOI: 10.15468/dl.j9yeup
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((29.11709 -3.438054, 29.1958 -3.438054, 29.1958 -3.340937, 29.11709 -3.340937, 29.11709 -3.438054))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043632-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9bv34
title: Occurrence Download

description: A dataset containing 2254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamochoerus porcus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2254 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043633-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17807639
title: Canada1Water Model Boundaries, Drainage Basins and a High-Resolution Coastline

description: Accurate hydrological modeling is essential for effective water resource management, flood forecasting, and environmental conservation. The Canada1Water project seeks to develop a comprehensive hydrological model for Canada by integrating sub-watershed data from the NHN and NHD datasets. A key step in this process is the grouping of sub-watershed polygons into larger drainage basins and ensuring their alignment with stream networks using a high-resolution coastline. 

High resolution coastline vector polylines are contained within the NHN Geobase (Littoral) and USGS NHD (Flowline Ftype==566) but are fractured by sub-watershed working units. To best join stream mouths to coastlines or mask datasets like Digital Elevation Models by land or ocean, a high resolution coastline mask tool would be useful. Thus, the NHN Geobase Littoral and USGS NHD Flowline$Ftype==566 datasets were joined together into a single polygon and polyline shapefile. This shapefile can be subset into continental land masses (Canada1Water model parts) and offshore islands. 487 of 1499 NHN and 297 of 2230 NHD sub-watershed areas (8-digit) contain coastline polyline parts.

Download the Full Dataset here:

https://portal.canada1water.ca/#/c1w-downloads
DOI: 10.5281/zenodo.17807640
title: Canada1Water Model Boundaries, Drainage Basins and a High-Resolution Coastline

description: Accurate hydrological modeling is essential for effective water resource management, flood forecasting, and environmental conservation. The Canada1Water project seeks to develop a comprehensive hydrological model for Canada by integrating sub-watershed data from the NHN and NHD datasets. A key step in this process is the grouping of sub-watershed polygons into larger drainage basins and ensuring their alignment with stream networks using a high-resolution coastline. 

High resolution coastline vector polylines are contained within the NHN Geobase (Littoral) and USGS NHD (Flowline Ftype==566) but are fractured by sub-watershed working units. To best join stream mouths to coastlines or mask datasets like Digital Elevation Models by land or ocean, a high resolution coastline mask tool would be useful. Thus, the NHN Geobase Littoral and USGS NHD Flowline$Ftype==566 datasets were joined together into a single polygon and polyline shapefile. This shapefile can be subset into continental land masses (Canada1Water model parts) and offshore islands. 487 of 1499 NHN and 297 of 2230 NHD sub-watershed areas (8-digit) contain coastline polyline parts.

Download the Full Dataset here:

https://portal.canada1water.ca/#/c1w-downloads
DOI: 10.15468/dl.shbq54
title: Occurrence Download

description: A dataset containing 501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudovermilia occidentalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 501 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038724-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g996um
title: Occurrence Download

description: A dataset containing 1662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Plethodon neomexicanus)"
 ]
}

 The dataset includes 1662 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grevt4
title: Occurrence Download

description: A dataset containing 768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Werauhia gladioliflora"
 ]
}

 The dataset includes 768 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038727-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eyytv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natalus primus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038726-251120083545085/datasets/export for details.
DOI: 10.17026/ar/o0yzp6
title: PAN-00091956 - mount plate (belt/buckle)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00091956&lt;/p&gt;
description: Modified: 2025-10-31T10:17:38+01:00
DOI: 10.15468/dl.av6ppr
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia mcvaughii"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038728-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhncnf
title: Occurrence Download

description: A dataset containing 25013287 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 25013287 records were derived from 70505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038659-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hw9j2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodopsis pusilla",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038730-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9f9vx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neopteryx frosti",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038732-251120083545085/datasets/export for details.
DOI: 10.15468/dl.3rbu34
title: Occurrence Download

description: A dataset containing 838706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "StateProvince is Quebec",
 "TaxonKey is Branta canadensis"
 ]
}

 The dataset includes 838706 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038650-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/0851dq
title: PAN-00182091 - monochrome glass bead barrel shaped (modern)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00182091&lt;/p&gt;
description: Modified: 2025-11-07T14:37:28+01:00
DOI: 10.15468/dl.yjwt6b
title: Occurrence Download

description: A dataset containing 916004 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Gabon"
 ]
}

 The dataset includes 916004 records from 862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038698-251120083545085/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/14065132
title: Market Prices of Commodities in South Tangerang
DOI: 10.5281/zenodo.17512549
title: Light-DPCVR: Assessing the Impact of Lighting on Dynamic Point Cloud Quality and User Behavior in XR

description: This repository contains all the stimuli and resulting data of our subjective experiment to build the Light-DPCVR dataset.

It includes:



Seq/



SRC/: The 5 pre-processed source point cloud sequences we selected from the UVG-VPC dataset

HRC/: 3 distorted version of each source, compressed with V-PCC (geometry, color, normals)



UserLogs



XX_ACR.csv: the quality ratings given to all stimuli by observer XX

XX_ACR_Eyetracking_YY.csv: The eyetracking data of observer XX collected while they were viewing their YYth stimulus

XX_ACR_HeadTracking_YY.csv: The position and head orientation of observer XX viewing their YYth stimulus



Saliency:



Voxelized point cloud sequence with saliency as color for all stimuli




Stimuli are all sources (5) and compressed versions (3x5), all rendered and viewed under different light settings (4) -> Total of (5+5x3)x4 = 80 stimuli

Light settings are:

  - LØ: Only raw color of the point clouds, without unlit rendering

  - L0: 50% ambient light and 80% directional light (x:0°;y:12°)

  - L30: 50% ambient light and 80% directional light (x:30°;y:12°)

  - L60: 50% ambient light and 80% directional light (x:60°;y:12°)
DOI: 10.5281/zenodo.17512550
title: Light-DPCVR: Assessing the Impact of Lighting on Dynamic Point Cloud Quality and User Behavior in XR

description: This repository contains all the stimuli and resulting data of our subjective experiment to build the Light-DPCVR dataset.

It includes:



Seq/



SRC/: The 5 pre-processed source point cloud sequences we selected from the UVG-VPC dataset

HRC/: 3 distorted version of each source, compressed with V-PCC (geometry, color, normals)



UserLogs



XX_ACR.csv: the quality ratings given to all stimuli by observer XX

XX_ACR_Eyetracking_YY.csv: The eyetracking data of observer XX collected while they were viewing their YYth stimulus

XX_ACR_HeadTracking_YY.csv: The position and head orientation of observer XX viewing their YYth stimulus



Saliency:



Voxelized point cloud sequence with saliency as color for all stimuli




Stimuli are all sources (5) and compressed versions (3x5), all rendered and viewed under different light settings (4) -> Total of (5+5x3)x4 = 80 stimuli

Light settings are:

  - LØ: Only raw color of the point clouds, without unlit rendering

  - L0: 50% ambient light and 80% directional light (x:0°;y:12°)

  - L30: 50% ambient light and 80% directional light (x:30°;y:12°)

  - L60: 50% ambient light and 80% directional light (x:60°;y:12°)
DOI: 10.5281/zenodo.17859754
title: Brazilian Public Procurement Network

description: A heterogeneous graph benchmark for public procurement fraud detection, derived from Brazilian open government data.

Dataset Statistics




Total nodes
876,881


Total edges
1,834,933


Node types
6


Edge types
6


Temporal span
2021-2025




Node Types



Suppliers: 18,788 legal entities contracting with government

Agencies: 848 government bodies issuing contracts

Procurements: 30,849 public bidding processes

Contracts: 799,554 individual contracts

Partners: 25,663 business owners (95.84% masked for privacy)

CNAE codes: 1,179 industry classification codes


Edge Types



supplier → contract (signs)

contract → procurement (belongs to)

procurement → agency (issued by)

partner → supplier (owns/manages)

supplier → cnae (primary activity)

supplier → cnae (secondary activities)


Data Sources

Integrated from official Brazilian government sources:



PNCP - Portal Nacional de Contratações Públicas: https://pncp.gov.br

Portal da Transparência - Sanction registries (CEIS, CNEP, CEAF, CEPIM): https://portaldatransparencia.gov.br

Federal Revenue Service - Corporate registry with ownership structures


Geographic scope: Santa Catarina state, Brazil (municipal sphere)
DOI: 10.5281/zenodo.17859755
title: Brazilian Public Procurement Network

description: A heterogeneous graph benchmark for public procurement fraud detection, derived from Brazilian open government data.

Dataset Statistics




Total nodes
876,881


Total edges
1,834,933


Node types
6


Edge types
6


Temporal span
2021-2025




Node Types



Suppliers: 18,788 legal entities contracting with government

Agencies: 848 government bodies issuing contracts

Procurements: 30,849 public bidding processes

Contracts: 799,554 individual contracts

Partners: 25,663 business owners (95.84% masked for privacy)

CNAE codes: 1,179 industry classification codes


Edge Types



supplier → contract (signs)

contract → procurement (belongs to)

procurement → agency (issued by)

partner → supplier (owns/manages)

supplier → cnae (primary activity)

supplier → cnae (secondary activities)


Data Sources

Integrated from official Brazilian government sources:



PNCP - Portal Nacional de Contratações Públicas: https://pncp.gov.br

Portal da Transparência - Sanction registries (CEIS, CNEP, CEAF, CEPIM): https://portaldatransparencia.gov.br

Federal Revenue Service - Corporate registry with ownership structures


Geographic scope: Santa Catarina state, Brazil (municipal sphere)
DOI: 10.17026/ar/h8xwws
title: PAN-00124271 - coin/coin-related, Frederik Barbarossa (1152-1190), Pfennig

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00124271&lt;/p&gt;
description: Modified: 2025-10-24T08:20:51+02:00
DOI: 10.15468/dl.47en6n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neotamias bulleri",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038735-251120083545085/datasets/export for details.
DOI: 10.15468/dl.fb2me5
title: Occurrence Download

description: A dataset containing 3656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmacina dysteri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3656 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038736-251120083545085/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/14065150
title: Booru.org Top Leaderboard
DOI: 10.15468/dl.hed9bt
title: Occurrence Download

description: A dataset containing 1338399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.8.9_2",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1338399 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038707-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq8y7n
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa analis"
 ]
}

 The dataset includes 180 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038737-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.