cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.83rqpf
title: Occurrence Download

description: A dataset containing 112901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100000.0",
 "Country is Denmark",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Aglais io (Linnaeus, 1758)",
 "TaxonKey is Agriades optilete (Knoch, 1781)",
 "TaxonKey is Anthocharis cardamines (Linnaeus, 1758)",
 "TaxonKey is Apatura iris (Linnaeus, 1758)",
 "TaxonKey is Aphantopus hyperantus (Linnaeus, 1758)",
 "TaxonKey is Aporia crataegi (Linnaeus, 1758)",
 "TaxonKey is Argynnis laodice Pallas, 1771",
 "TaxonKey is Argynnis paphia (Linnaeus, 1758)",
 "TaxonKey is Aricia artaxerxes (Fabricius, 1793)",
 "TaxonKey is Boloria aquilonaris (Stichel, 1908)",
 "TaxonKey is Brenthis ino (von Rottemburg, 1775)",
 "TaxonKey is Carterocephalus silvicola (Meigen, 1829)",
 "TaxonKey is Coenonympha hero (Linnaeus, 1761)",
 "TaxonKey is Coenonympha tullia Müller, 1764",
 "TaxonKey is Colias palaeno (Linnaeus, 1761)",
 "TaxonKey is Erebia ligea (Linnaeus, 1758)",
 "TaxonKey is Eumedonia eumedon (Esper, 1780)",
 "TaxonKey is Euphydryas aurinia (Rottemburg, 1775)",
 "TaxonKey is Euphydryas maturna (Linnaeus, 1758)",
 "TaxonKey is Fabriciana adippe (Denis & Schiffermüller, 1775), 2017",
 "TaxonKey is Fabriciana niobe Linnaeus, 1761",
 "TaxonKey is Favonius quercus (Linnaeus, 1758)",
 "TaxonKey is Glaucopsyche alexis (Poda, 1761)",
 "TaxonKey is Gonepteryx rhamni (Linnaeus, 1758)",
 "TaxonKey is Hesperia comma (Linnaeus, 1758)",
 "TaxonKey is Heteropterus morpheus (Pallas, 1771)",
 "TaxonKey is Hipparchia semele Linnaeus, 1758",
 "TaxonKey is Limenitis camilla (Linnaeus, 1764)",
 "TaxonKey is Limenitis populi (Linnaeus, 1758)",
 "TaxonKey is Lycaena alciphron (von Rottemburg, 1775)",
 "TaxonKey is Lycaena virgaureae (Linnaeus, 1758)",
 "TaxonKey is Maniola jurtina (Linnaeus, 1758)",
 "TaxonKey is Melanargia galathea Linnaeus, 1758",
 "TaxonKey is Nymphalis antiopa (Linnaeus, 1758)",
 "TaxonKey is Nymphalis vaualbum (Denis & Schiffermüller, 1775)",
 "TaxonKey is Nymphalis xanthomelas (Denis & Schiffermüller), 1775",
 "TaxonKey is Parnassius apollo (Linnaeus, 1758)",
 "TaxonKey is Parnassius mnemosyne (Linnaeus, 1758)",
 "TaxonKey is Phengaris alcon (Denis & Schiffermüller, 1775)",
 "TaxonKey is Phengaris arion (Linnaeus, 1758)",
 "TaxonKey is Polyommatus amandus (Schneider, 1792)",
 "TaxonKey is Pyrgus serratulae (Rambur, 1839)",
 "TaxonKey is Pyronia tithonus (Linnaeus, 1771)",
 "TaxonKey is Satyrium ilicis (Esper, 1779)",
 "TaxonKey is Satyrium pruni (Linnaeus, 1758)",
 "TaxonKey is Satyrium w-album (Knoch, 1782)",
 "TaxonKey is Speyeria aglaja (Linnaeus, 1758), 2017",
 "TaxonKey is Thecla betulae (Linnaeus, 1758)",
 "TaxonKey is Thymelicus sylvestris (Poda, 1761)"
 ]
 },
 "Year 1946-2022"
 ]
}

 The dataset includes 112901 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112407-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk9we7
title: Occurrence Download

description: A dataset containing 1184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Poecilia caucana (Steindachner, 1880)"
 ]
}

 The dataset includes 1184 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266662-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7987bd
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta cephalanthi Engelm.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 206 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269294-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2xyng
title: Occurrence Download

description: A dataset containing 226020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.917 -33.309,18.212 -33.309,18.212 -33.045,17.917 -33.045,17.917 -33.309))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 226020 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112395-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rd3pq
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ribes glabricalycinum L.T.Lu"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056762-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8txy2z
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prochilodus magdalenae Steindachner, 1879"
 ]
}

 The dataset includes 1153 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266668-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mq3aq
title: Occurrence Download

description: A dataset containing 26753 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Populus balsamifera L., Populus balsamifera Mill., Populus balsamifera Lyall, Populus balsamifera × deltoides, Populus balsamifera x deltoides)"
 ]
}

 The dataset includes 26753 records from 376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166275-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3563k
title: Occurrence Download

description: A dataset containing 609984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juncus effusus L.",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 609984 records from 1171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043284-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnb9xu
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Ardea insignis Hume, 1878",
 "Year 2015-2025"
 ]
}

 The dataset includes 148 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043303-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fnsep
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isoetes transvaalensis C.Jermy & Schelpe",
 "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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043304-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15655527
title: Structured Provenance Events Dataset from the Art Institute of Chicago

description: The dataset comprises structured provenance event data extracted through the application of custom-trained SpaCy NLP models developed specifically for museum provenance texts. These models are available on Zenodo. The source material consists of 11,392 provenance entries published by the Art Institute of Chicago (AIC), reflecting stylistic conventions aligned with The AAM Guide to Provenance Research. These records were downloaded from the AIC Public API on April 7, 2022.

Each provenance record was segmented into discrete events through a two-stage process. First, the sentence boundary detection model was applied to isolate individual event statements within the record. Then, the span categorization model identified and annotated relevant entities within each event, such as involved parties, dates, locations, and methods of transfer. Together, these models produced a total of 35,554 structured provenance events.

The two models achieved F1 scores of 0.99 for sentence boundary detection and 0.94 for span categorization on their respective test sets. The quality of the resulting dataset reflects the performance of these models: no manual correction or human supervision was applied following automatic extraction. The annotation methodology underlying the dataset is detailed in Teaching Provenance to AI: An Annotation Scheme for Museum Data, and the technical development and analytical affordances of the models are discussed in Hidden Value: Provenance as a Source for Economic and Social History. The resulting dataset is published in JSON format and is intended to support provenance research, historical network reconstruction, and the development of linked open data infrastructures.
DOI: 10.5281/zenodo.15655528
title: Structured Provenance Events Dataset from the Art Institute of Chicago

description: The dataset comprises structured provenance event data extracted through the application of custom-trained SpaCy NLP models developed specifically for museum provenance texts. These models are available on Zenodo. The source material consists of 11,392 provenance entries published by the Art Institute of Chicago (AIC), reflecting stylistic conventions aligned with The AAM Guide to Provenance Research. These records were downloaded from the AIC Public API on April 7, 2022.

Each provenance record was segmented into discrete events through a two-stage process. First, the sentence boundary detection model was applied to isolate individual event statements within the record. Then, the span categorization model identified and annotated relevant entities within each event, such as involved parties, dates, locations, and methods of transfer. Together, these models produced a total of 35,554 structured provenance events.

The two models achieved F1 scores of 0.99 for sentence boundary detection and 0.94 for span categorization on their respective test sets. The quality of the resulting dataset reflects the performance of these models: no manual correction or human supervision was applied following automatic extraction. The annotation methodology underlying the dataset is detailed in Teaching Provenance to AI: An Annotation Scheme for Museum Data, and the technical development and analytical affordances of the models are discussed in Hidden Value: Provenance as a Source for Economic and Social History. The resulting dataset is published in JSON format and is intended to support provenance research, historical network reconstruction, and the development of linked open data infrastructures.
DOI: 10.5281/zenodo.6613713
title: LNDb Dataset

description: The Lung Nodule Database (LNDb) was developed as an external dataset complimentary to LIDCIDRI. The publication of this database gives continuity to LIDC-IDRI and allows the community to perform an external and comparable validation of proposed computer-aided diagnosis (CAD) systems.

The LNDb contains 294 CT scans collected retrospectively at the Centro Hospitalar e Universitário de São João (CHUSJ) in Porto, Portugal between 2016 and 2018. All data was acquired under approval from the CHUSJ Ethical Commitee and was anonymised prior to any analysis to remove personal information except for patient birth year and gender.

The database served as the basis for the Grand Challenge on automatic lung cancer patient management, or LNDb challenge.

THIS DATASET IS PUBLICALLY AVAILABLE UNDER A CREATIVE COMMONS CC BY-NC-ND LICENSE (ATTRIBUTION)ESSENCIALLY, YOU ARE GRANTED ACCESS TO THE DATASET FOR USE IN YOUR RESEARCH AS LONG AS YOU CREDIT OUR WORK/PUBLICATIONS(*)



(*) Pedrosa, João, et al. "LNDb: a lung nodule database on computed tomography." arXiv preprint arXiv:1911.08434 (2019).

(*) Pedrosa, João, et al. "LNDb challenge on automatic lung cancer patient management." Medical image analysis 70 (2021): 102027.

(*) Ferreira, Carlos A., et al. "LNDb v4: pulmonary nodule annotation from medical reports." Scientific Data 11.1 (2024): 512.


DATASET Publication (Nov 20, 2020).

DATASET UPDATES (at Zenodo):

- Version v1 (Jun 4, 2022): Repository is created; 

- Version v2 (Oct 6, 2022): Test files are added; 

- Version v3 (Sep 1, 2023): The LNDb also had medical reports that had not yet been released. We have sought to establish a matching between annotated nodules and those described textually. Then, the following files have been added:i) chars_trainNodules.csv: the characteristics of nodules annotated by radiologists;ii) report.csv: tabular data from medical reports of the CT scans in the dataset;iii) allNods.csv: a list of all nodules manually annotated or described in textual reports;iv) rad2Fleischner.csv: a list of image-annotated nodules;v) text2Fleischner.csv: a list of those nodules reported in the medical reports.

- Version v4 (Sep 15, 2023):: A 'help.txt' file has been added to provide clarity on the variables within the files added in version 3 of the dataset. A version control has been documented within the description section to comprehensively record all modifications made during ongoing updates to the dataset.
description: This work was financed by the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness - COMPETE 2020 Programme and by National Funds through the Portuguese Funding agency, FCT Fundaçãoo para a Ciência e Tecnologia within project PTDC/EEI-SII/6599/2014 (POCI01-0145-FEDER-016673).
DOI: 10.5281/zenodo.8348419
title: LNDb Dataset

description: The Lung Nodule Database (LNDb) was developed as an external dataset complimentary to LIDCIDRI. The publication of this database gives continuity to LIDC-IDRI and allows the community to perform an external and comparable validation of proposed computer-aided diagnosis (CAD) systems.

The LNDb contains 294 CT scans collected retrospectively at the Centro Hospitalar e Universitário de São João (CHUSJ) in Porto, Portugal between 2016 and 2018. All data was acquired under approval from the CHUSJ Ethical Commitee and was anonymised prior to any analysis to remove personal information except for patient birth year and gender.

The database served as the basis for the Grand Challenge on automatic lung cancer patient management, or LNDb challenge.

THIS DATASET IS PUBLICALLY AVAILABLE UNDER A CREATIVE COMMONS CC BY-NC-ND LICENSE (ATTRIBUTION)ESSENCIALLY, YOU ARE GRANTED ACCESS TO THE DATASET FOR USE IN YOUR RESEARCH AS LONG AS YOU CREDIT OUR WORK/PUBLICATIONS(*)



(*) Pedrosa, João, et al. "LNDb: a lung nodule database on computed tomography." arXiv preprint arXiv:1911.08434 (2019).

(*) Pedrosa, João, et al. "LNDb challenge on automatic lung cancer patient management." Medical image analysis 70 (2021): 102027.

(*) Ferreira, Carlos A., et al. "LNDb v4: pulmonary nodule annotation from medical reports." Scientific Data 11.1 (2024): 512.


DATASET Publication (Nov 20, 2020).

DATASET UPDATES (at Zenodo):

- Version v1 (Jun 4, 2022): Repository is created; 

- Version v2 (Oct 6, 2022): Test files are added; 

- Version v3 (Sep 1, 2023): The LNDb also had medical reports that had not yet been released. We have sought to establish a matching between annotated nodules and those described textually. Then, the following files have been added:i) chars_trainNodules.csv: the characteristics of nodules annotated by radiologists;ii) report.csv: tabular data from medical reports of the CT scans in the dataset;iii) allNods.csv: a list of all nodules manually annotated or described in textual reports;iv) rad2Fleischner.csv: a list of image-annotated nodules;v) text2Fleischner.csv: a list of those nodules reported in the medical reports.

- Version v4 (Sep 15, 2023):: A 'help.txt' file has been added to provide clarity on the variables within the files added in version 3 of the dataset. A version control has been documented within the description section to comprehensively record all modifications made during ongoing updates to the dataset.
description: This work was financed by the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness - COMPETE 2020 Programme and by National Funds through the Portuguese Funding agency, FCT Fundaçãoo para a Ciência e Tecnologia within project PTDC/EEI-SII/6599/2014 (POCI01-0145-FEDER-016673).
DOI: 10.15468/dl.56ygun
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Craticula molestiformis (Hustedt) Mayama, 1999",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043305-250525065834625/datasets/export for details.
DOI: 10.15468/dl.dmfy7m
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "GadmGid is PRT.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Capreolus capreolus (Linnaeus, 1758)"
 ]
}

 The dataset includes 638 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043308-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2q98n
title: Occurrence Download

description: A dataset containing 18886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamnus saxatilis Jacq.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18886 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043306-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aunh54
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isoetes transvaalensis C.Jermy & Schelpe",
 "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 ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043307-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29086238
title: Bandpass filtered data for study "Deciphering the small-scale scattering heterogeneity beneath northeast Asia from PKP precursors"

description: We analyze PKP precursors from earthquakes in South America recorded by a linear seismic array in Northeast China to explore the detailed scattering heterogeneities in the lower mantle beneath northeast Asia.
DOI: 10.6084/m9.figshare.29086238.v1
title: Bandpass filtered data for study "Deciphering the small-scale scattering heterogeneity beneath northeast Asia from PKP precursors"

description: We analyze PKP precursors from earthquakes in South America recorded by a linear seismic array in Northeast China to explore the detailed scattering heterogeneities in the lower mantle beneath northeast Asia.
DOI: 10.15468/dl.h5xcbc
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia gayi Salis"
 ]
}

 The dataset includes 274 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043310-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp7dgs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Craticula molestiformis (Hustedt) Mayama, 1999",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043309-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15657425
title: Impact of Cash Transfers on Household Expenditures in Refugee-hosting Districts in Uganda

description: This data for our paper in progress
DOI: 10.5281/zenodo.15657426
title: Impact of Cash Transfers on Household Expenditures in Refugee-hosting Districts in Uganda

description: This data for our paper in progress
DOI: 10.15468/dl.cp7zv8
title: Occurrence Download

description: A dataset containing 2603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bulgaria",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2010-2025"
 ]
}

 The dataset includes 2603 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043312-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.