PMC:7229913 / 5375-5587
Annnotations
LitCovid-PD-MONDO
{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T39","span":{"begin":193,"end":201},"obj":"Disease"}],"attributes":[{"id":"A39","pred":"mondo_id","subj":"T39","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Furthermore, time-series of zonal mean temperature at 1000 mb in 2019 was calculated from National Centers for Environmental Prediction reanalysis data to study the trend of approximate global COVID-19 dispersal."}
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T21","span":{"begin":59,"end":61},"obj":"http://purl.obolibrary.org/obo/PR_000010213"}],"text":"Furthermore, time-series of zonal mean temperature at 1000 mb in 2019 was calculated from National Centers for Environmental Prediction reanalysis data to study the trend of approximate global COVID-19 dispersal."}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T46","span":{"begin":0,"end":212},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Furthermore, time-series of zonal mean temperature at 1000 mb in 2019 was calculated from National Centers for Environmental Prediction reanalysis data to study the trend of approximate global COVID-19 dispersal."}