cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12908748
title: GraphNarrative

description: A graph-to-text dataset
DOI: 10.18419/darus-1095/232
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DOI: 10.15468/dl.xvjcd3
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monsonia biflora DC.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 43 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037497-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1095/291
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DOI: 10.18419/darus-1095
title: 3D Photogrammetric-Data for KK06-09

description: Research data (*.las, *.ply and *.obj format) which was obtained by Photogrammetric/Computer Vision 3D digitization as well as original images which were the base for the 3D reconstruction process. Explanation about the 3D data format: Las (Is the normal data format for laser scanned point cloud data and also for photogrammetric 3D model.) Ply or Ply + jpg (The software RealityCapture encoded texture mesh in a single ply file while the software Agisoft metashape exported textured mesh in ply format + .jpg.) Obj + mtl + jpg (Obj stores a texture mesh together with mtl and jpg file. Obj file contains information of geometric vertices, texture vertices, vertex normal, polygon face element etc. The Mtl file defines the texture information of the faces. Mtl normally refers to a jpg for storing the actual texture.) Explanation about the mask image (if available): To avoid lots of background information in the 3D reconstruction process, well-aligned images to generate a rough model were applied. Afterwards a mask for each image could be calculated according to the 3D model. In the next step, original images together with the corresponding masks are applied to implement the reconstruction, which is free from the influence of the background information. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", doi: 10.18419/darus-gyrolog, DaRUS.
DOI: 10.15468/dl.g8e9yp
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe daigremontiana",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018797-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vap8k8
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe daigremontiana",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018798-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30165331
title: Haining_tourism_2024.zip.zip

description: Haining County Tourism Bulletin (HTML 2024)<br>Single-year HTML snapshot of the 2024 tourism bulletin taken from the Haining government open-data portal. It supplements the 2010–2023 PDF series with the latest visitor numbers, festival footfall, and Q1–Q4 hotel metrics.
DOI: 10.6084/m9.figshare.30165331.v1
title: Haining_tourism_2024.zip.zip

description: Haining County Tourism Bulletin (HTML 2024)<br>Single-year HTML snapshot of the 2024 tourism bulletin taken from the Haining government open-data portal. It supplements the 2010–2023 PDF series with the latest visitor numbers, festival footfall, and Q1–Q4 hotel metrics.
DOI: 10.15468/dl.uv44xu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachygobius xanthozonus)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018799-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnr2kz
title: Occurrence Download

description: A dataset containing 14414 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Paleoinvertebrates National Collection (MACNPi)"
 ]
}

 The dataset includes 14414 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018800-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15888941
title: Benchmark Datasets for Entity Linking from Tabular Data

description: 📖 Benchmark Datasets for Entity Linking from Tabular Data (Version 2)

This archive provides a benchmark suite for evaluating entity linking algorithms on structured tabular data.It is organised into two parts: • Challenge datasets (HTR1, HTR2): From the SemTab Table-to-KG Challenge, widely used in academic evaluations of table-to-KG alignment systems. Each is a dataset (a collection of many tables) provided with ground truth and candidate mappings.👉 Please also cite the SemTab Challenge when using these resources. • Real-world tables (Company, Movie, SN):• Company — one table constructed via SPARQL queries on Wikidata, with both Wikidata and Crunchbase ground truths.• Movie — one table constructed via SPARQL queries on Wikidata.• SN (Spend Network) — one procurement table from the enRichMyData (EMD) project, manually annotated and including NIL cases for mentions with no known Wikidata match.

A shared top-level folder (mention_to_qid/) provides JSON files mapping surface mentions to candidate QIDs for these real-world tables.

⸻

📂 Contents

Each dataset or table includes: • One or more input CSV tables • Ground truth files mapping mentions/cells to Wikidata QIDs (or NIL) • Candidate mappings (mention_to_qid/*.json), sometimes multiple variants • Optional files such as column_classifications.json or cell_to_qid.json

⸻

📝 Licensing • HTR1 & HTR2: CC BY 4.0 • Company & Movie: Derived from Wikidata (public domain; CC0 1.0) • SN: CC BY 4.0 (from the enRichMyData project)

⸻

📌 Citation

If you use these datasets, please cite: • This Zenodo record (Version 2):Avogadro, R., & Rauniyar, A. (2025). Benchmark Datasets for Entity Linking from Tabular Data (Version 2). Zenodo. https://doi.org/10.5281/zenodo.15888942 • The SemTab Challenge (for HTR1/HTR2):SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (Table-to-KG). (Cite the relevant SemTab overview paper for the year you reference.) • Wikidata: Data retrieved from Wikidata (public domain; CC0 1.0). • enRichMyData (for SN / Spend Network): Project resources from enRichMyData, licensed under CC BY 4.0.
DOI: 10.5281/zenodo.17160156
title: Benchmark Datasets for Entity Linking from Tabular Data

description: 📖 Benchmark Datasets for Entity Linking from Tabular Data (Version 2)

This archive provides a benchmark suite for evaluating entity linking algorithms on structured tabular data.It is organised into two parts: • Challenge datasets (HTR1, HTR2): From the SemTab Table-to-KG Challenge, widely used in academic evaluations of table-to-KG alignment systems. Each is a dataset (a collection of many tables) provided with ground truth and candidate mappings.👉 Please also cite the SemTab Challenge when using these resources. • Real-world tables (Company, Movie, SN):• Company — one table constructed via SPARQL queries on Wikidata, with both Wikidata and Crunchbase ground truths.• Movie — one table constructed via SPARQL queries on Wikidata.• SN (Spend Network) — one procurement table from the enRichMyData (EMD) project, manually annotated and including NIL cases for mentions with no known Wikidata match.

A shared top-level folder (mention_to_qid/) provides JSON files mapping surface mentions to candidate QIDs for these real-world tables.

⸻

📂 Contents

Each dataset or table includes: • One or more input CSV tables • Ground truth files mapping mentions/cells to Wikidata QIDs (or NIL) • Candidate mappings (mention_to_qid/*.json), sometimes multiple variants • Optional files such as column_classifications.json or cell_to_qid.json

⸻

📝 Licensing • HTR1 & HTR2: CC BY 4.0 • Company & Movie: Derived from Wikidata (public domain; CC0 1.0) • SN: CC BY 4.0 (from the enRichMyData project)

⸻

📌 Citation

If you use these datasets, please cite: • This Zenodo record (Version 2):Avogadro, R., & Rauniyar, A. (2025). Benchmark Datasets for Entity Linking from Tabular Data (Version 2). Zenodo. https://doi.org/10.5281/zenodo.15888942 • The SemTab Challenge (for HTR1/HTR2):SemTab: Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (Table-to-KG). (Cite the relevant SemTab overview paper for the year you reference.) • Wikidata: Data retrieved from Wikidata (public domain; CC0 1.0). • enRichMyData (for SN / Spend Network): Project resources from enRichMyData, licensed under CC BY 4.0.
DOI: 10.15468/dl.bh3efg
title: Occurrence Download

description: A dataset containing 15771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dermestes bicolor, Tomicus amitinus, Anthrenus caucasicus, Attagenus pellio, Attagenus smirnovi, Attagenus unicolor, Dermestes ater, Dermestes frischi, Dermestes undulatus, Reesa vespulae, Trogoderma angustum, Trogoderma glabrum, Trogoderma variabile, Trogoderma versicolor, Sitophilus oryzae, Sitophilus zeamais, Cybister lateralimarginalis, Cryptolestes pusillus, Cryptolestes turcicus, Carpophilus hemipterus)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 15771 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018802-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw4hk7
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gloripallium pallium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 253 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018801-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6qmhd
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe daigremontiana",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 241 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018803-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m7k3n
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apodemus agrarius",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 178 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018804-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10948743
title: DEM (30 m)

description: The 30 m ASTGDEM v3 digital elevation model for RethinkAction's case studies. This v2 includes metadata.
DOI: 10.5281/zenodo.16736688
title: DEM (30 m)

description: The 30 m ASTGDEM v3 digital elevation model for RethinkAction's case studies. This v2 includes metadata.
DOI: 10.5281/zenodo.17160149
title: DaparToolshedData
DOI: 10.15468/dl.yf9jep
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe daigremontiana",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018805-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dbpzz
title: Occurrence Download

description: A dataset containing 123745 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mammal Collection"
 ]
}

 The dataset includes 123745 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018785-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfa84k
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe daigremontiana",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 186 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018806-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhc26c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laevichlamys superficialis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018808-250914085247600/datasets/export for details.
DOI: 10.15468/dl.dffesf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gogo arcuatus)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018810-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.