PMC:7201122 / 979-1900
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 21 | 540-548 | Chemical | denotes | nitrogen | MESH:D009584 |
| 27 | 241-251 | Species | denotes | SARS-CoV-2 | Tax:2697049 |
| 28 | 112-115 | Chemical | denotes | NO2 | |
| 29 | 117-125 | Chemical | denotes | nitrogen | MESH:D009584 |
| 30 | 316-321 | Chemical | denotes | water | MESH:D014867 |
| 31 | 499-504 | Chemical | denotes | water | MESH:D014867 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T3 | 241-249 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T5 | 841-851 | http://purl.obolibrary.org/obo/OBI_0000968 | denotes | Instrument |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T9 | 112-115 | Chemical | denotes | NO2 | http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101 |
| T11 | 117-133 | Chemical | denotes | nitrogen dioxide | http://purl.obolibrary.org/obo/CHEBI_33101 |
| T12 | 117-125 | Chemical | denotes | nitrogen | http://purl.obolibrary.org/obo/CHEBI_25555 |
| T13 | 316-321 | Chemical | denotes | water | http://purl.obolibrary.org/obo/CHEBI_15377 |
| T14 | 535-538 | Chemical | denotes | NO2 | http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101 |
| T16 | 540-556 | Chemical | denotes | nitrogen dioxide | http://purl.obolibrary.org/obo/CHEBI_33101 |
| T17 | 540-548 | Chemical | denotes | nitrogen | http://purl.obolibrary.org/obo/CHEBI_25555 |
| T18 | 862-866 | Chemical | denotes | Aura | http://purl.obolibrary.org/obo/CHEBI_144786 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T15 | 0-58 | Sentence | denotes | Most poignant however are the improvements in air quality. |
| T16 | 59-291 | Sentence | denotes | Satellite data are showing significant reductions of NO2 (nitrogen dioxide) over major cities in China, Europe, the USA, and India following lockdowns enforced to slow the spread of SARS-CoV-2 (NASA Earth Observatory 2020) (Fig. 1). |
| T17 | 292-400 | Sentence | denotes | In Venice, Italy, canal water appeared visibly clearer following the lockdown (but not necessarily cleaner). |
| T18 | 401-527 | Sentence | denotes | Presumably, reduced boat traffic on the canals resulted in lower sediment concentrations near the water’s surface (Link 2020). |
| T19 | 528-797 | Sentence | denotes | Fig. 1 NO2 (nitrogen dioxide) in the tropospheric column (mol cm−2) for the first 14 days of spring 2019 (top) and 2020 (bottom), respectively, several weeks after many countries worldwide initiated lockdowns [maps generated with the Giovanni online tool (Prados et al. |
| T20 | 798-921 | Sentence | denotes | 2010) using data from the Ozone Monitoring Instrument on NASA’s Aura satellite, 30% cloud screened, daily 0.25° resolution] |