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Name TDescription# Ann.AuthorMaintainerUpdated_atStatus

1-20 / 282 show all
0_colil_project Demo project for testing.39.2 KYue Wang2021-01-14Uploading
123123123 123123123150yaoxinzhi2019-04-12Released
2015-BEL-Sample An attempt to upload 295 BEL statements, i.e. the sample set used for the 2015 BioCreative challenge. 58Fabio RinaldiFabio Rinaldi2015-02-26Testing
2015-BEL-Sample-2 The 295 BEL statements for sample set used for the 2015 BioCreative challenge.11.4 KFabio RinaldiNico Colic2016-05-25Released
2019713_HI_relation 2.14 Kxiajingbo2019-07-13
21k_plant_trait_mention 333 Kxzyao2021-01-16Testing
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: 10.1186/1471-2105-9-4022.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29Beta
acggdb_ggdb 0nfujita2018-02-09
AGAC-2-2 1.53 KWang&Minaxiajingbo2019-04-10Developing
AGAC_sample 874xiajingbo2019-06-30Released
AGAC_test 0xiajingbo2019-07-12Released
AGAC_training 3.32 Kxiajingbo2019-09-12Released
Age_blah 1.9 Kslee72682020-11-03Beta
age_PMA_annotations 99laurenc2020-09-09Developing
AIMed The AIMed corpus is one of the most widely used corpora for protein-protein interaction extraction. The protein annotations are either parts of the protein interaction annotations, or are uninvolved in any protein interaction annotation. Publication: http://www.cs.utexas.edu/~ml/papers/bionlp-aimed-04.pdf4.04 KThe University of Texas at AustinYue Wang2017-04-14Testing
AlvisNLP-Test Project for testing AlviNLP PubAnnotation server during BLAH3.17Bibliome2017-01-20Testing
AnEM_abstracts 250 documents selected randomly from citation abstracts Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation Together with AnEM_full-texts, it is probably the largest manually annotated corpus on anatomical entities.1.95 KNaCTeMYue Wang2020-02-01Released
AnEM_full-texts 250 documents selected randomly from full-text papers Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation Together with AnEM_abstracts, it is probably the largest manually annotated corpus on anatomical entities.687NaCTeMYue Wang2020-09-17Uploading
Annotation-Euglena-Enzymes 0Shuichi Kawashima2016-06-13Developing
bayaba nalee7Nakyolee2017-07-13
Name T# Ann.AuthorMaintainerUpdated_atStatus

1-20 / 282 show all
0_colil_project 39.2 KYue Wang2021-01-14Uploading
123123123 150yaoxinzhi2019-04-12Released
2015-BEL-Sample 58Fabio RinaldiFabio Rinaldi2015-02-26Testing
2015-BEL-Sample-2 11.4 KFabio RinaldiNico Colic2016-05-25Released
2019713_HI_relation 2.14 Kxiajingbo2019-07-13
21k_plant_trait_mention 333 Kxzyao2021-01-16Testing
Ab3P-abbreviations 2.34 KSunghwan Sohn, Donald C Comeau, Won Kim and W John Wilburcomeau2016-07-29Beta
acggdb_ggdb 0nfujita2018-02-09
AGAC-2-2 1.53 KWang&Minaxiajingbo2019-04-10Developing
AGAC_sample 874xiajingbo2019-06-30Released
AGAC_test 0xiajingbo2019-07-12Released
AGAC_training 3.32 Kxiajingbo2019-09-12Released
Age_blah 1.9 Kslee72682020-11-03Beta
age_PMA_annotations 99laurenc2020-09-09Developing
AIMed 4.04 KThe University of Texas at AustinYue Wang2017-04-14Testing
AlvisNLP-Test 17Bibliome2017-01-20Testing
AnEM_abstracts 1.95 KNaCTeMYue Wang2020-02-01Released
AnEM_full-texts 687NaCTeMYue Wang2020-09-17Uploading
Annotation-Euglena-Enzymes 0Shuichi Kawashima2016-06-13Developing
bayaba 7Nakyolee2017-07-13