cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t6vvhh
title: Occurrence Download

description: A dataset containing 4379618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen)",
 "Continent is South America",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 4379618 records from 894 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002719-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnns4e
title: Occurrence Download

description: A dataset containing 3761 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mountain Invasion Research Network (MIREN) survey"
 ]
}

 The dataset includes 3761 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002722-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srqmqk
title: Occurrence Download

description: A dataset containing 10051343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calypte anna (R.Lesson, 1829), Aitkenia exocarpos Menard & Schuh, 2011, Diphucrania robertfisheri (Barker, 1999), Eurema mexicana (Boisduval, 1836), Cydia ninana Dyar, 1903, Siproeta epaphus (Latreille, 1813), Danaus gilippus (Cramer, 1775), Cogia hippalus outis (Skinner, 1894), Cogia hippalus (Edwards, 1882), Colinus virginianus (Linnaeus, 1758), Caicella caicus (Herrich-Schäffer, 1869), Hebata sativae (Poos, 1933), Youngszella pseudomarginella (Caldwell, 1952), Kunzeana aurulenta (Lawson, 1930), Papio anubis (Lesson, 1827), Orasema uichancoi (Ishii, 1932), Schizaspidia nasua (Walker, 1846), Anagyrus agraensis Saraswat, 1975, Coccidoxenoides perminutus Girault, 1915, Anagyrus dactylopii (Howard, 1898), Leptomastix trilongifasciata Girault, 1916, Anzygina dumbletoni (Ghauri, 1963), Remaudiereana inornatus (Walker, 1872), Thosea vetusta (Walker, 1862), Automeris melanops Walker, 1865, Sophonia orientalis (Matsumura, 1912), Encarsia guadeloupae Viggiani, 1987, Zarhopalus putophilus Bennett, 1957, Kolla suturella (Stål, 1855), Flatopsis nivea (Signoret, 1860), Ascotis selenaria (Denis & Schiffermüller), 1775, Ariadne ariadne (Linnaeus, 1763), Anthene lycaenina (Felder, 1868), Aenasius hyettus (Walker, 1846), Metochus uniguttatus (Thunberg, 1822), Prochiloneurus agarwali Hayat, 1981, Orthonama obstipata (Fabricius, 1794), Columbina passerina (Linnaeus, 1758), Catharus guttatus (Pallas, 1811), Ammospiza leconteii (Audubon, 1844), Anthus rubescens (Tunstall, 1771), Cereophagus futilalis Dyar, 1922, Cactoblastis cactorum (Berg, 1885), Leptonycteris yerbabuenae Martínez & Villa-R., 1940, Cacicus melanicterus (Bonaparte, 1825), Anaea aidea (Guérin-Méneville, 1844), Catagonus wagneri (Rusconi, 1930), Colibri cyanotus cyanotus, Colibri coruscans (Gould, 1846), Eresia lansdorfi (Godart, 1819))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10051343 records from 1083 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002717-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14007645
title: Datasets for Supplementary Figures to the Article "Stenotrophomonas maltophilia of clinical origin display higher temperature tolerance comparing with environmental isolates"

description: Datasets for Supplementary Figures to the Article "Stenotrophomonas maltophilia of clinical origin display higher temperature tolerance comparing with environmental isolates" by Laurita Klimkaitė, Radvilė Drevinskaitė, Karolis Krinickis, Edita Sužiedėlienė and Julija Armalytė
DOI: 10.5281/zenodo.15211588
title: Datasets accompanying "Perturbation of epithelial and limbal stem cell identity in pathologic corneal neovascularization"

description: This record contains Python single cell datasets from the "no suture", "suture", "treatment" conditions and a combined object.

 

Data objects contain raw counts only and normalised counts can be added back with: 



sc.pp.normalize_per_cell(adata, counts_per_cell_after=1e4)

sc.pp.log1p(adata)


 

The object contains much metadata, such as condition("condition"), merged cell states with similar identity ("clusters"|"joined") or split in individual clusters ("clusters"|"joined_split"), depending on the object.
DOI: 10.5281/zenodo.15211589
title: Datasets accompanying "Perturbation of epithelial and limbal stem cell identity in pathologic corneal neovascularization"

description: This record contains Python single cell datasets from the "no suture", "suture", "treatment" conditions and a combined object.

 

Data objects contain raw counts only and normalised counts can be added back with: 



sc.pp.normalize_per_cell(adata, counts_per_cell_after=1e4)

sc.pp.log1p(adata)


 

The object contains much metadata, such as condition("condition"|"sample"), merged cell states with similar identity ("cell states"|"joined") or split in individual clusters ("cell states split"|"joined_split"), depending on the object.
DOI: 10.5281/zenodo.15267899
title: Datasets accompanying "Perturbation of epithelial and limbal stem cell identity in pathologic corneal neovascularization"

description: This record contains Python single cell datasets from the "no suture", "suture", "treatment" conditions and a combined object.

 

Data objects contain raw counts only and normalised counts can be added back with: 



sc.pp.normalize_per_cell(adata, counts_per_cell_after=1e4)

sc.pp.log1p(adata)


 

The object contains much metadata, such as condition("condition"), merged cell states with similar identity ("clusters"|"joined") or split in individual clusters ("clusters"|"joined_split"), depending on the object.
DOI: 10.5281/zenodo.3773249
title: DUPS: Diachronic Usage Pair Similarity

description: The DUPS (Diachronic Usage Pair Similarity) dataset contains similarity judgements of English word usage pairs from different time periods, as described in the paper below. The WUG version of the DUPS dataset (version 2.0.0) contains diachronic Word Usage Graphs constructed from the similarity judgements of English word usage pairs contained in DUPS. In a word usage graph, the usages of a word are represented as nodes connected by edges weighted according to (human-annotated) semantic proximity. A description of the data format as well as the code used to generate the graphs from DUPS can be found at https://www.ims.uni-stuttgart.de/data/wugs. Both versions of the DUPS dataset can be downloaded from the Files section of this web page. Please cite this paper if you use any version of the dataset in your work: Mario Giulianelli, Marco Del Tredici, and Raquel Fernández. 2020. Analysing Lexical Semantic Change with Contextualised Word Representations. In <em>Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL-2020)</em>. Association for Computational Linguistics.
DOI: 10.5281/zenodo.5090647
title: DWUG SV: Diachronic Word Usage Graphs for Swedish

description: This data collection contains diachronic Word Usage Graphs (WUGs) for Swedish. Find a description of the data format, code to process the data and further datasets on the WUGsite.

See previous versions for additional testsets.

Please find more information on the provided data in the papers referenced below.

Reference

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
description: Extends previous versions with one more annotation round and new clusterings.
DOI: 10.5281/zenodo.5255227
title: DWUG LA: Diachronic Word Usage Graphs for Latin

description: This data collection contains diachronic Word Usage Graphs (WUGs) for Latin. Find a description of the data format, code to process the data and further datasets on the WUGsite. The annotation was coordinated by Barbara McGillivray, and done by Annie Burman, Daria Kondakova, Francesca Dell'Oro, Helena Bermudez Sabel, Hugo Burgess, Paola Marongiu, Rozalia Dobos and Tomaz Potocnik. The pre-annotation was coordinated and designed by Barbara McGillivray and done by Manuel Márquez Cruz. Please find more information on the provided data in the paper referenced below.
description: This work was supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1.
description: {"references": ["Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages."]}
DOI: 10.5281/zenodo.5543306
title: SURel: Synchronic Usage Relatedness

description: This data collection contains synchronic semantic relatedness judgments for German word usage pairs drawn from general language and the domain of cooking. Find a description of the data format, code to process the data and further datasets on the WUGsite.


See previous versions for additional plots, tables and testsets.


Please find more information on the provided data in the paper referenced below.


Version: 3.0.0, 15.12.2021.


Reference


Anna Hätty, Dominik Schlechtweg, Sabine Schulte im Walde. 2019. SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM). Minneapolis, Minnesota, USA, 2019.
description: DURel metrics inferred from median instead of mean edge weights (for compatibility with other WUG data sets), removal of previous metrics and additional data (refer to previous versions)

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5543723
title: DWUG DE: Diachronic Word Usage Graphs for German

description: This data collection contains diachronic Word Usage Graphs (WUGs) for German. Find a description of the data format, code to process the data and further datasets on the WUGsite.

See previous versions for additional testsets. Find a version of this dataset annotated with classical word sense definitions at DWUG DE Sense.

Please find more information on the provided data in the papers referenced below.

Reference

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
description: Extends previous versions with one more annotation round and new clusterings. Move DWUG DE Sense to separate upload. Correct or remove some normalization and lemmatization errors in the uses.

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5544443
title: DWUG EN: Diachronic Word Usage Graphs for English

description: This data collection contains diachronic Word Usage Graphs (WUGs) for English. Find a description of the data format, code to process the data and further datasets on the WUGsite.

See previous versions for additional testsets.

Please find more information on the provided data in the papers referenced below.

Reference

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
description: Extends previous versions with one more annotation round and new clusterings.

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5544553
title: DiaWUG: Diatopic Word Usage Graphs for Spanish

description: This data collection contains diatopic Word Usage Graphs (WUGs) for Spanish. Find a description of the data format, code to process the data and further datasets on the WUGsite.

Note:



The date given for each word use does not correspond to the exact date of the document from which the use was sampled but only to the midpoint of the rough time period covered by the Corpus del Español (~2000-2014).

The numbers given as grouping for each word use map to Spanish variants in the following way: 0: Spain (ES), 1: Cuba (CU), 2: Colombia (CO), 3: Argentina (AR), 4: Peru (PE), 6: Venezuela (VE).


Please find more information on the provided data in the paper referenced below.

Version: 1.1.2, 11.1.2025. Update description. Update Reference. Normalize filenames. Assign noise uses the cluster label '-1' instead of removing them. Update plots. Additional removal of wrongly copied graphs.

Reference

Gioia Baldissin, Dominik Schlechtweg, Sabine Schulte im Walde. 2022. DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish. Proceedings of the Thirteenth Language Resources and Evaluation Conference.
description: Update description. Update Reference. Normalize filenames. Assign noise uses the cluster label '-1' instead of removing them. Update plots. Additional removal of wrongly copied graphs.

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5544577
title: RefWUG: Diachronic Reference Word Usage Graphs for German

description: This data collection contains diachronic Word Usage Graphs (WUGs) for German created with reference use sampling. Find a description of the data format, code to process the data and further datasets on the WUGsite.


Please find more information on the provided data in the paper referenced below.


Version: 1.1.0, 15.12.2021.


Reference


Dominik Schlechtweg and Sabine Schulte im Walde. submitted. Clustering Word Usage Graphs: A Flexible Framework to Measure Changes in Contextual Word Meaning.
description: additional lemmatization, POS tagging and spelling normalization extracted from DTA; additional DURel metrics and change scores

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5544579
title: DiscoWUG: Discovered Diachronic Word Usage Graphs for German

description: This data collection contains discovered diachronic Word Usage Graphs (WUGs) for German. Find a description of the data format, code to process the data and further datasets on the WUGsite.

Note:



The date given for each word use does not correspond to the exact date of the document from which the use was sampled but only to the midpoint of the respective time period (1800-1899, 1946-1990), as the exact date was not available in the SemEval corpora.


Please find more information on the provided data in the papers referenced below.

Reference

Sinan Kurtyigit, Maike Park, Dominik Schlechtweg, Jonas Kuhn, Sabine Schulte im Walde. 2021. Lexical Semantic Change Discovery. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
description: Extends previous versions with one more annotation round and new clusterings.

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5554145
title: DURel: Diachronic Usage Relatedness

description: This data collection contains diachronic semantic relatedness judgments for German word usage pairs. Find a description of the data format, code to process the data and further datasets on the WUGsite.


We provide additional data under misc/:



	

	
testset: a semantic change test set with 22 German lexemes divided into two classes: lexemes for which the authors found

	

		
innovative or
		
reductive meaning change
	

	
occurring in Deutsches Textarchiv (DTA) in the 19th century. Note that for some lexemes the change is already observable slightly before 1800 and some lexemes occur more than once in the test set (see paper). The columns 'earlier' and 'later' contain the mean of all judgments for the respective word. The columns 'delta_later' and 'compare' contain the predictions of the annotation-based measures of semantic change developed in the paper.
	
	
tables: the full annotation table as annotators received it and a results table with rows in the same order. The columns 'date1' and 'date2' contain the date of the first and second use in the row. 'mean' contains the mean of all judgments for the use pair in this row without 0-judgments.
	
plots: data visualization plots.



Please find more information on the provided data in the paper referenced below.


Version: 2.1.0, 7.10.2021.


Reference


Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann. 2018. Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT). New Orleans, Louisiana USA.
description: additional lemmatization, POS tagging and spelling normalization extracted from DTA

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5784453
title: DURel: Diachronic Usage Relatedness

description: This data collection contains diachronic semantic relatedness judgments for German word usage pairs. Find a description of the data format, code to process the data and further datasets on the WUGsite.


Please find more information on the provided data in the paper referenced below.


See previous versions for additional plots, tables and testsets.


Version: 3.0.0, 15.12.2021.


Reference


Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann. 2018. Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT). New Orleans, Louisiana USA.
description: DURel metrics inferred from median instead of mean edge weights (for compatibility with other WUG data sets), removal of previous metrics and additional data (refer to previous versions)

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5541340
title: DURel: Diachronic Usage Relatedness

description: This data collection contains diachronic semantic relatedness judgments for German word usage pairs. Find a description of the data format, code to process the data and further datasets on the WUGsite.


We provide additional data under misc/:



	

	
testset: a semantic change test set with 22 German lexemes divided into two classes: lexemes for which the authors found

	

		
innovative or
		
reductive meaning change
	

	
occurring in Deutsches Textarchiv (DTA) in the 19th century. Note that for some lexemes the change is already observable slightly before 1800 and some lexemes occur more than once in the test set (see paper). The columns 'earlier' and 'later' contain the mean of all judgments for the respective word. The columns 'delta_later' and 'compare' contain the predictions of the annotation-based measures of semantic change developed in the paper.
	
	
tables: the full annotation table as annotators received it and a results table with rows in the same order. The columns 'date1' and 'date2' contain the date of the first and second use in the row. 'mean' contains the mean of all judgments for the use pair in this row without 0-judgments.
	
plots: data visualization plots.



Please find more information on the provided data in the paper referenced below.


Version: 2.0.0, 30.9.2021.


Reference


Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann. 2018. Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT). New Orleans, Louisiana USA.
description: WUG version

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.5541274
title: DURel: Diachronic Usage Relatedness

description: This data collection contains diachronic semantic relatedness judgments for German word usage pairs. Find a description of the data format, code to process the data and further datasets on the WUGsite.


Please find more information on the provided data in the paper referenced below.


See previous versions for additional plots, tables and testsets.


Version: 3.0.0, 15.12.2021.


Reference


Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann. 2018. Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT). New Orleans, Louisiana USA.
description: DURel metrics inferred from median instead of mean edge weights (for compatibility with other WUG data sets), removal of previous metrics and additional data (refer to previous versions)

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.14007644
title: Datasets for Supplementary Figures to the Article "Stenotrophomonas maltophilia of clinical origin display higher temperature tolerance comparing with environmental isolates"

description: Datasets for Supplementary Figures to the Article "Stenotrophomonas maltophilia of clinical origin display higher temperature tolerance comparing with environmental isolates" by Laurita Klimkaitė, Radvilė Drevinskaitė, Karolis Krinickis, Edita Sužiedėlienė and Julija Armalytė
DOI: 10.15468/dl.czw3hk
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Senegal",
 "TaxonKey is Hexasepalum"
 ]
}

 The dataset includes 57 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028896-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/p14-7sv-r0q
title: †Neocomites peregrinus (Rawson & Kemper, 1978)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5cd-3da-jjc
title: Gadiculus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8sh-86b-hcp
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/at5-0rr-zkr
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bxj-22w-tdz
title: Hibolithes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5vr-9dn-nj6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9pe-4zj-tjf
title: Plesiobatis

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.