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PMC:7589389 / 21283-21899 JSONTXT

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LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T7 126-130 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T10 126-130 Body_part denotes face http://purl.org/sig/ont/fma/fma24728

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T77 6-7 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T78 126-130 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T79 131-132 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T80 286-287 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T5 212-217 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T6 311-316 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T153 0-58 Sentence denotes Panel B of Table 1 shows the sample distribution by month.
T154 59-200 Sentence denotes There are 237 firm-day observations for firms located in provinces face a continued increase in public health threats (CIPHT = 1) in January.
T155 201-343 Sentence denotes The sample group of CIPHT = 1 increased dramatically during February, while there is a declining trend in the group of CIPHT = 1 during March.
T156 344-405 Sentence denotes Panel C of Table 1 shows the sample distribution by industry.
T157 406-524 Sentence denotes Firms from the manufacturing industry dominate the full sample, which is consistent with China’s industrial structure.
T158 525-616 Sentence denotes The proportion of cross-industry distribution in sub-samples is similar to the full sample.