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NameTDescription# Ann.AuthorMaintainerUpdated_atStatus

81-100 / 143 show all
LitCovid-PD-CHEBI 1.44 Madmin2020-11-30Developing
PubMed-German-test A collection of PubMed abstracts which are written in German0Jin-Dong Kim2020-12-13Developing
PubMed-French-test A collection of PubMed abstract written in French0Jin-Dong Kim2020-12-13Developing
LitCovid-sample-Enju 13.1 KJin-Dong Kim2021-01-14Developing
LitCovid-sample-PD-MONDO 1.21 KJin-Dong Kim2021-01-14Developing
LitCovid-sample-PD-GlycoEpitope 5Jin-Dong Kim2021-01-14Developing
LitCovid-sample-PD-MAT 251Jin-Dong Kim2021-01-14Developing
LitCovid-docs A comprehensive literature resource on the subject of Covid-19 is collected by NCBI: https://www.ncbi.nlm.nih.gov/research/coronavirus/ The LitCovid project@PubAnnotation is a collection of the titles and abstracts of the LitCovid dataset, for the people who want to perform text mining analysis. Please note that if you produce some annotation to the documents in this project, and contribute the annotation back to PubAnnotation, it will become publicly available together with contribution from other people. If you want to contribute your annotation to PubAnnotation, please refer to the documentation page: http://www.pubannotation.org/docs/submit-annotation/ The list of the PMID is sourced from here The 6 entries of the following PMIDs could not be included because they were not available from PubMed:32161394, 32104909, 32090470, 32076224, 32161394 32188956, 32238946. Below is a notice from the original LitCovid dataset: PUBLIC DOMAIN NOTICE National Center for Biotechnology Information This software/database is a "United States Government Work" under the terms of the United States Copyright Act. It was written as part of the author's official duties as a United States Government employee and thus cannot be copyrighted. This software/database is freely available to the public for use. The National Library of Medicine and the U.S. Government have not placed any restriction on its use or reproduction. Although all reasonable efforts have been taken to ensure the accuracy and reliability of the software and data, the NLM and the U.S. Government do not and cannot warrant the performance or results that may be obtained by using this software or data. The NLM and the U.S. Government disclaim all warranties, express or implied, including warranties of performance, merchantability or fitness for any particular purpose. Please cite the authors in any work or product based on this material : Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193 18Jin-Dong Kim2021-01-16Developing
BLAH2015_Annotations_Adderall 0nestoralvaronestoralvaro2015-03-15Testing
BioASQ-sample collection of PubMed articles which appear in the BioASQ sample data set.0BioASQJin-Dong Kim2015-10-13Testing
SPECIES800_autotagged This project comprises the SPECIES800 corpus documents automatically annotated by the Jensenlab tagger. Annotated entity types are: Genes/proteins from the mentioned organisms (and any human ones) PubChem Compound identifiers NCBI Taxonomy entries Gene Ontology cellular component terms BRENDA Tissue Ontology terms Disease Ontology terms Environment Ontology terms The SPECIES 800 (S800) comprises 800 PubMed abstracts. In its original form species mentions were manually identified and mapped to the corresponding NCBI Taxonomy identifiers. Described in: The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. Pafilis E, Frankild SP, Fanini L, Faulwetter S, Pavloudi C, et al. (2013). PLoS ONE, 2013, 8(6): e65390. doi:10.1371/journal.pone.0065390. The manually annotated corpus is also available as a PubAnnotation project (see here). 0Evangelos Pafilis, Sampo Pyysalo, Lars Juhl Jensenevangelos2015-11-20Testing
GlycoBiology-PACDB cGGDB-based annotation to GlycoBiology abstracts3.03 KToshihide Shikanaishikanai2016-02-01Testing
GlycoBiology-GDGDB GDGDB-based annotation to GlycoBiology abstracts 2.46 KToshihide Shikanaishikanai2016-02-01Testing
GlycoBiology-cGGDB cGGDB-based annotation to GlycoBiology abstracts36Toshihide Shikanaishikanai2016-02-01Testing
GlycoBiology-GO GO-based annotation to GlycoBiology abstracts0Jin-Dong Kim2016-06-11Testing
EDAM-DFO annotation for EDAM terms for data, formats, and operations12.5 KJin-Dong Kim2016-09-21Testing
EDAM-topics annotation for EDAM topics11.6 KJin-Dong Kim2016-09-21Testing
Parkinson 54Jin-Dong Kim2017-03-11Testing
AlvisNLP-Async-Test Test for the asynchronous AlvisNLP/ML annotator family.0Robert Bossyrbossy2017-04-07Testing
Test_economics test1YongHwanKimkimyonghwan2017-07-13Testing
NameT# Ann.AuthorMaintainerUpdated_atStatus

81-100 / 143 show all
LitCovid-PD-CHEBI 1.44 Madmin2020-11-30Developing
PubMed-German-test 0Jin-Dong Kim2020-12-13Developing
PubMed-French-test 0Jin-Dong Kim2020-12-13Developing
LitCovid-sample-Enju 13.1 KJin-Dong Kim2021-01-14Developing
LitCovid-sample-PD-MONDO 1.21 KJin-Dong Kim2021-01-14Developing
LitCovid-sample-PD-GlycoEpitope 5Jin-Dong Kim2021-01-14Developing
LitCovid-sample-PD-MAT 251Jin-Dong Kim2021-01-14Developing
LitCovid-docs 18Jin-Dong Kim2021-01-16Developing
BLAH2015_Annotations_Adderall 0nestoralvaronestoralvaro2015-03-15Testing
BioASQ-sample 0BioASQJin-Dong Kim2015-10-13Testing
SPECIES800_autotagged 0Evangelos Pafilis, Sampo Pyysalo, Lars Juhl Jensenevangelos2015-11-20Testing
GlycoBiology-PACDB 3.03 KToshihide Shikanaishikanai2016-02-01Testing
GlycoBiology-GDGDB 2.46 KToshihide Shikanaishikanai2016-02-01Testing
GlycoBiology-cGGDB 36Toshihide Shikanaishikanai2016-02-01Testing
GlycoBiology-GO 0Jin-Dong Kim2016-06-11Testing
EDAM-DFO 12.5 KJin-Dong Kim2016-09-21Testing
EDAM-topics 11.6 KJin-Dong Kim2016-09-21Testing
Parkinson 54Jin-Dong Kim2017-03-11Testing
AlvisNLP-Async-Test 0Robert Bossyrbossy2017-04-07Testing
Test_economics 1YongHwanKimkimyonghwan2017-07-13Testing