cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5169359
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.5203209
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.5232554
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.5335588
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.5457474
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.5501766
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.5515859
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.5528462
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.5546277
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: 10.48758/ufz.12218
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201407

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, July 2014. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201407_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.5281/zenodo.5559445
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.5574623
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.5634862
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.5651777
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.5701037
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.5718177
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.5732979
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.5759400
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.5774692
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.5791832
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.5805124
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.