CoGe_Citation_Annotations | | Annotated PMC abstracts+full articles, that cite the "CoGe" papers (PMID: 18952863, 18269575).
Total Num Citations: 165
Total Num Unique Citations: 141
Total Num Abstracts: 165
Total Num Whole Articles: 165 | 0 | Heather Lent | hclent | 2023-11-29 | Uploading | |
Ab3P-abbreviations | | This corpus was developed during the creation of the Ab3P abbreviation definition identification tool. It includes 1250 manually annotated MEDLINE records. This gold standard includes 1221 abbreviation-definition pairs.
Abbreviation definition identification based on automatic precision estimates
Sunghwan Sohn, Donald C Comeau, Won Kim and W John Wilbur
BMC Bioinformatics20089:402
DOI: 10.1186/1471-2105-9-402 | 2.33 K | Sunghwan Sohn, Donald C Comeau, Won Kim and W John Wilbur | comeau | 2023-11-29 | Beta | |
GlyCosmos600-MAT | | | 863 | | Jin-Dong Kim | 2023-11-29 | Testing | |
ASCO_abstracts | | asco abstracts sample dataset | 28 K | | alo33 | 2023-11-29 | Testing | |
UBERON-AE | | Annotation for anatomical entities based on the "Anatomical Entity" subtree of UBERON ontology.
Annotations are automatically produced using PubDictionaries with threshold: 0.85. | 859 K | DBCLS | Jin-Dong Kim | 2023-11-29 | Developing | |
bionlp-ost-19-BB-rel-ner-dev | | | 1.98 K | | ldeleger | 2023-11-29 | Developing | |
GlyCosmos6-docs | | | 0 | | Jin-Dong Kim | 2023-11-29 | Developing | |
LitCovid-sample-GO-BP | | | 691 | | Jin-Dong Kim | 2023-11-29 | Testing | |
PubMed-French-test | | A collection of PubMed abstract written in French | 0 | | Jin-Dong Kim | 2023-11-29 | Developing | |
Preeclampsia | | A collection of titles and abstracts of "Preeclampsia"-related papers. They were extracted from PubMed using the MeSH term "Preeclampsia" and specifying the language to be "English, on 11th September, 2017.
The texts were then annotated by PubDictionaries using the dictionary "Preeclampsia". | 58.7 K | | callahan_tiff | 2023-11-29 | Developing | |
silkworm_phenotype | | | 3.86 K | | shigen | 2023-11-29 | Developing | |
CORD-19-sample-FMA-UBERON | | | 61 | | Jin-Dong Kim | 2023-11-29 | Developing | |
OryzaGP_2021_FLAIR | | | 386 K | | larmande | 2023-11-29 | Developing | |
bionlp-ost-19-SeeDev-bin-train | | | 5.08 K | | ldeleger | 2023-11-29 | Developing | |
Test190926 | | test | 0 | Takeru Nakazato | nakazato | 2023-11-29 | Testing | |
LitCovid-sample-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
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
| 0 | | Jin-Dong Kim | 2023-11-29 | Uploading | |
GlyCosmos600-GlycoGenes2 | | | 375 | | angata | 2023-11-29 | Testing | |
bionlp-ost-19-BB-rel-dev | | | 1.97 K | | ldeleger | 2023-11-29 | Developing | |
NGLY1-deficiency | | A collection of PubMed abstracts that may be related to NGLY1 deficiency. | 60.5 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
LitCovid-sample-PD-HP | | | 211 | | Jin-Dong Kim | 2023-11-29 | Testing | |