| CORD-19-sample-MONDO | | | 113 | | Jin-Dong Kim | 2023-11-29 | Developing | |
| UseCases_ArguminSci_Discourse | | Predictions from ArguminSci(http://lelystad.informatik.uni-mannheim.de/) for the seven datasets and for discourse categories | 7.12 K | | zebet | 2023-11-29 | Developing | |
| LitCoin-sentences | | | 4.94 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| CORD-19-PD-HP | | PubDictionaries annotation for HP terms - updated at 2020-04-30
Disease term annotation based on HP.
Version 2020-04-20.
The terms in HP are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here.
Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. | 1.15 M | | Jin-Dong Kim | 2023-11-29 | Released | |
| Test-SequenceVariant | | | 200 | | Jin-Dong Kim | 2023-11-28 | | |
| LitCovid-PD-HP-v1 | | PubDictionaries annotation for human phenotype terms - updated at 2020-04-20
Disease term annotation based on HP.
Version 2020-04-20.
The terms in HP are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here.
Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. | 3.03 K | | Jin-Dong Kim | 2023-11-29 | Released | |
| OryzaGP_2022 | | | 41.3 K | | larmande | 2023-11-24 | | |
| PubCasesORDO | | ORDO annotation in PubCases | 865 K | | Toyofumi Fujiwara | 2023-11-24 | Beta | |
| Zoonoses | | This is a main data sets of Zoonoses project used by PanZoora. | 10.3 K | | AikoHIRAKI | 2023-11-26 | Developing | |
| CORD-19-PD-MONDO | | PubDictionaries annotation for MONDO terms - updated at 2020-04-30
It is disease term annotation based on MONDO.
Version 2020-04-20.
The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here.
Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. | 6.32 M | | Jin-Dong Kim | 2023-11-27 | Released | |
| LitCovid-sample-PD-GlycoEpitope | | | 1 | | Jin-Dong Kim | 2023-11-27 | Developing | |
| LitCoin_Mondo | | | 1.96 K | | Yasunori Yamamoto | 2023-11-28 | Testing | |
| LitCovid_AGAC | | | 904 | | xiajingbo | 2023-11-29 | | |
| LitCovid-sample-PD-GO-BP-0 | | | 708 | | Jin-Dong Kim | 2023-11-29 | Beta | |
| testing_230112 | | | 2 | | eatfish | 2023-11-29 | Testing | |
| glytoucan-iupac | | retrying glytoucan-iupac annotation as of march 9, 2018 | 0 | | kiyoko | 2023-11-29 | Testing | |
| LitCovid-GlycoBiology | | Articles from GlycoBiology, received by the keyword "Covid-19" | 0 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-sentences-v1 | | Sentence segmentation of all the texts in the LitCovid literature. The segmentation is automatically obtained using the TextSentencer annotation service developed and maintained by DBCLS. | 16.5 K | | Jin-Dong Kim | 2023-11-27 | Released | |
| CORD-19-sample-UBERON | | | 54 | | Jin-Dong Kim | 2023-11-26 | Developing | |
| LitCovid-sample-PD-NCBITaxon | | | 1.35 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
