cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5812878
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.5813573
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.5831462
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.5855598
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.5894314
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.5919707
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.5983454
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6059731
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6184384
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6300871
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6332954
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6350183
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6371124
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6387549
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6424609
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6440361
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6466612
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6481811
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6510369
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.
DOI: 10.5281/zenodo.6529761
title: CoronaCentral

description: This describes the output file for the CoronaCentral data. The scripts used to create it are hosted in the corona-ml Github repo. The sources for the documents before processing for CoronaCentral are PubMed and CORD-19. The file is a gzipped JSON document containing one record per document. Each document has at least one of: a PubMed ID, a CORD-19 ID (cord_uid), a DOI or a URL. The fields that documents should have are: pubmed_id: PubMed identifier (optional) pmcid: PubMed Central identifier (optional) doi: Digital object identifier (optional) cord_uid: CORD-19 identifier (optional) url: URL journal: Journal/preprint server publish_year: Year of publication (optional) publish_month: Month of publication (optional) publish_day: Day of publication (optional) title: Title of article abstract: Abstract of article (optional) is_preprint: Whether the article is a preprint topics: Predicted topics for article articletypes: Predicted article types for article entities: Extracted entities (e.g. drugs) with identifiers and locations within text Please report issues to the corona-ml Github issues page.