-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.dimensions_ai_covid19.grants`
(
  id STRING,
  title STRING,
  abstract STRING,
  language STRING,
  original_title STRUCT<value STRING, language STRING>,
  original_abstract STRUCT<value STRING, language STRING>,
  linkout STRING,
  grant_number STRING,
  foa_number STRING,
  start_date STRING,
  end_date STRING,
  start_year INT64,
  end_year INT64,
  active_years ARRAY<INT64>,
  investigators ARRAY<STRUCT<first_name STRING, last_name STRING, researcher_id STRING, role STRING, affiliations ARRAY<STRUCT<affiliation STRING, grid_ids ARRAY<STRING>, cities ARRAY<INT64>, countries_territories ARRAY<STRING>, states ARRAY<STRING>>>>>,
  researcher_ids ARRAY<STRING>,
  research_orgs ARRAY<STRING>,
  organisation_details ARRAY<STRUCT<name STRING, city STRING, country STRING, grid_id STRING>>,
  research_org_cities ARRAY<INT64>,
  research_org_state_codes ARRAY<STRING>,
  research_org_countries ARRAY<STRING>,
  funder_org STRING,
  funder_org_cities ARRAY<INT64>,
  funder_org_state_codes ARRAY<STRING>,
  funder_org_countries ARRAY<STRING>,
  funding_amount FLOAT64,
  funding_currency STRING,
  funding_aud FLOAT64,
  funding_cad FLOAT64,
  funding_chf FLOAT64,
  funding_eur FLOAT64,
  funding_gbp FLOAT64,
  funding_jpy FLOAT64,
  funding_nzd FLOAT64,
  funding_usd FLOAT64,
  funding_cny FLOAT64,
  concepts ARRAY<STRUCT<concept STRING, relevance FLOAT64>>,
  category_bra STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>,
  category_for STRUCT<first_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, second_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>>,
  category_hra STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>,
  category_hrcs_hc STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>,
  category_hrcs_rac STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>,
  category_icrp_cso STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>,
  category_icrp_ct STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>,
  category_rcdc STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>,
  category_sdg STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>,
  category_uoa STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>,
  categories STRUCT<bra_v1 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, for_v1 STRUCT<first_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, second_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>>, hra_v1 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, hrcs_hc_v1 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, hrcs_rac_v1 STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, icrp_cso_v1 STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, icrp_ct_v1 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, rcdc_v1 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, sdg_v1 STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, uoa_v1 STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, bra_v2020 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, for_v2020 STRUCT<first_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, second_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>>, hrcs_hc_v2020 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, hrcs_rac_v2020 STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, icrp_cso_v2020 STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, icrp_ct_v2020 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, rcdc_v2020 STRUCT<values ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, value STRING>>>, for_2020_v2022 STRUCT<first_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>, second_level STRUCT<codes ARRAY<STRING>, `full` ARRAY<STRUCT<id STRING, code STRING, name STRING>>>>>,
  date_inserted TIMESTAMP,
  date_imported_gbq TIMESTAMP,
  resulting_publication_ids ARRAY<STRING>,
  funder_org_acronyms ARRAY<STRING>
);

INSERT INTO `bigquery-public-data.dimensions_ai_covid19.grants` (id, title, abstract, language, original_title, original_abstract, linkout, grant_number, foa_number, start_date, end_date, start_year, end_year, active_years, investigators, researcher_ids, research_orgs, organisation_details, research_org_cities, research_org_state_codes, research_org_countries, funder_org, funder_org_cities, funder_org_state_codes, funder_org_countries, funding_amount, funding_currency, funding_aud, funding_cad, funding_chf, funding_eur, funding_gbp, funding_jpy, funding_nzd, funding_usd, funding_cny, concepts, category_bra, category_for, category_hra, category_hrcs_hc, category_hrcs_rac, category_icrp_cso, category_icrp_ct, category_rcdc, category_sdg, category_uoa, categories, date_inserted, date_imported_gbq, resulting_publication_ids, funder_org_acronyms) VALUES ('grant.9780492', 'COVID: Tracking impacts of COVID-19 lockdowns & recovery on urban atmospheric composition at neighborhood scales with public-transit based measurements', 'Introduction: The primary non-pharmaceutical intervention to address the COVID-19 pandemic
', 'en', {'value': 'COVID: Tracking impacts of COVID-19 lockdowns & recovery on urban atmospheric composition at neighborhood scales with public-transit based measurements', 'language': 'en'}, {'value': 'Introduction: The primary non-pharmaceutical intervention to address the COVID-19 pandemic\n', 'language': 'en'}, NULL, 'NA21OAR4310232', 'Not available', '2021-09-01', '2023-08-31', 2021, 2023, '[2021 2022 2023]', '[]', '[]', '[''grid.223827.e'']', '[{''name'': ''UNIVERSITY OF UTAH, THE'', ''city'': ''Salt Lake City'', ''country'': ''US'', ''grid_id'': ''grid.223827.e''}]', '[5780993]', '[''US-UT'']', '[''US'']', 'grid.3532.7', '[4140963]', '[''US-DC'']', '[''US'']', 116811.0, 'USD', 159896.0, 147640.0, 108252.0, 104065.0, 87421.0, 13705083.0, 171563.0, 116811.0, 745689.0, '[{''concept'': ''atmospheric composition'', ''relevance'': 0.0623310905}
 {''concept'': ''composition'', ''relevance'': 0.0457059258}
 {''concept'': ''measurements'', ''relevance'': 0.0399125605}
 {''concept'': ''tracking impacts'', ''relevance'': 0.0383602124}
 {''concept'': ''recovery'', ''relevance'': 0.0381837398}
 {''concept'': ''COVID-19 lockdown'', ''relevance'': 0.027506684}
 {''concept'': ''impact'', ''relevance'': 0.0263282606}
 {''concept'': ''neighborhood'', ''relevance'': 0.0149171207}
 {''concept'': ''non-pharmaceutical interventions'', ''relevance'': 0.0131501373}
 {''concept'': ''lockdown'', ''relevance'': 0.0122931387}
 {''concept'': ''COVID-19 pandemic'', ''relevance'': 0.0115732457}
 {''concept'': ''intervention'', ''relevance'': 0.0094392751}
 {''concept'': ''pandemic'', ''relevance'': 0.0086950706}]', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, {'bra_v1': None, 'for_v1': None, 'hra_v1': None, 'hrcs_hc_v1': None, 'hrcs_rac_v1': None, 'icrp_cso_v1': None, 'icrp_ct_v1': None, 'rcdc_v1': None, 'sdg_v1': None, 'uoa_v1': None, 'bra_v2020': None, 'for_v2020': {'first_level': {'codes': "['11']", 'full': "[{'id': '2211', 'code': '11', 'name': 'Medical and Health Sciences'}]"}, 'second_level': {'codes': "['1117']", 'full': "[{'id': '3177', 'code': '1117', 'name': 'Public Health and Health Services'}]"}}, 'hrcs_hc_v2020': None, 'hrcs_rac_v2020': None, 'icrp_cso_v2020': None, 'icrp_ct_v2020': None, 'rcdc_v2020': None, 'for_2020_v2022': {'first_level': {'codes': "['37']", 'full': "[{'id': '80008', 'code': '37', 'name': 'Earth Sciences'}]"}, 'second_level': {'codes': "['3304']", 'full': "[{'id': '80063', 'code': '3304', 'name': 'Urban And Regional Planning'}]"}}}, '2021-09-08 06:50:42+00:00', '2022-08-31 03:03:16+00:00', '[]', '[''NOAA'']'), ('grant.9747402', 'Partnerships to support seafood-related businesses and educate seafood consumers', 'To address the continued impacts associated with the COVID-19 pandemic on seafood
', 'en', {'value': 'Partnerships to support seafood-related businesses and educate seafood consumers', 'language': 'en'}, {'value': 'To address the continued impacts associated with the COVID-19 pandemic on seafood\n', 'language': 'en'}, NULL, 'NA21OAR4170332', 'Not available', '2021-08-01', '2023-07-31', 2021, 2023, '[2021 2022 2023]', '[{''first_name'': ''Matthew'', ''last_name'': ''Charette'', ''researcher_id'': ''ur.01321466004.14'', ''role'': ''PI'', ''affiliations'': array([{''affiliation'': ''WOODS HOLE OCEANOGRAPHIC INSTITUTION'', ''grid_ids'': array([''grid.56466.37''], dtype=object), ''cities'': array([4936174]), ''countries_territories'': array([''US''], dtype=object), ''states'': array([''US-MA''], dtype=object)}],
       dtype=object)}                                                                                                                                                                                                                                                                                                                                                   ]', '[''ur.01321466004.14'']', '[''grid.56466.37'']', '[{''name'': ''WOODS HOLE OCEANOGRAPHIC INSTITUTION'', ''city'': ''Falmouth'', ''country'': ''US'', ''grid_id'': ''grid.56466.37''}]', '[4936174]', '[''US-MA'']', '[''US'']', 'grid.3532.7', '[4140963]', '[''US-DC'']', '[''US'']', 199945.0, 'USD', 273324.0, 252615.0, 185169.0, 177671.0, 149428.0, 23382444.0, 293119.0, 199945.0, 1277089.0, '[{''concept'': ''COVID-19 pandemic'', ''relevance'': 0.4313375658}
 {''concept'': ''seafood consumers'', ''relevance'': 0.378029538}
 {''concept'': ''pandemic'', ''relevance'': 0.3240673099}
 {''concept'': ''seafood'', ''relevance'': 0.295488563}
 {''concept'': ''impact'', ''relevance'': 0.2471085427}
 {''concept'': ''partnership'', ''relevance'': 0.2368417188}
 {''concept'': ''consumers'', ''relevance'': 0.1869636762}
 {''concept'': ''business'', ''relevance'': 0.0424911659}]', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, {'bra_v1': None, 'for_v1': None, 'hra_v1': None, 'hrcs_hc_v1': None, 'hrcs_rac_v1': None, 'icrp_cso_v1': None, 'icrp_ct_v1': None, 'rcdc_v1': None, 'sdg_v1': None, 'uoa_v1': None, 'bra_v2020': None, 'for_v2020': {'first_level': {'codes': "['11']", 'full': "[{'id': '2211', 'code': '11', 'name': 'Medical and Health Sciences'}]"}, 'second_level': {'codes': "['1117']", 'full': "[{'id': '3177', 'code': '1117', 'name': 'Public Health and Health Services'}]"}}, 'hrcs_hc_v2020': None, 'hrcs_rac_v2020': None, 'icrp_cso_v2020': None, 'icrp_ct_v2020': None, 'rcdc_v2020': None, 'for_2020_v2022': None}, '2021-08-17 08:28:37+00:00', '2022-08-31 03:03:16+00:00', '[]', '[''NOAA'']'), ('grant.9747434', 'Using Observations of Gaseous Compounds in the LA Basin during COVID-19 to Elucidate Sources and Atmospheric Processes Affecting Urban Air Quality', 'The PIs propose to build on a collaborative effort initiated in March 2020, to collect in-situ data in Pasadena, CA within the South Coast Air Basin. A suite of gas- and particle-phase instrumentation was co-located on the Caltech campus and samples were collected from April- August 2020. The major activities proposed here are collection of a complementary data set from April-August 2022; analysis and modeling of the 2020 and 2022 data sets; and data sharing and reporting for 2020 and 2022. The objectives of the proposed research are to: 1) identify and quantify the ambient gas-phase organic compounds (intermediate and volatile organic compounds, I/VOCs) across a gradient of human activity during and after the COVID-19 shelter in-place orders; 2) quantify I/VOC source markers and evaluate the contribution of sourcespecific emissions to measured I/VOCs; 3) compare calculated emission ratios to published emission ratios, to assess spatial and temporal changes in these values and to evaluate the localized impacts of reduced human activity during COVID-19 on atmospheric composition; and 4) assess the contribution of identified compounds to O3 and PM2.5 formation and the sensitivity of O3 and PM2.5 formation to observed changes in I/VOCs and meteorological parameters.', 'en', {'value': 'Using Observations of Gaseous Compounds in the LA Basin during COVID-19 to Elucidate Sources and Atmospheric Processes Affecting Urban Air Quality', 'language': 'en'}, {'value': 'The PIs propose to build on a collaborative effort initiated in March 2020, to collect in-situ data in Pasadena, CA within the South Coast Air Basin. A suite of gas- and particle-phase instrumentation was co-located on the Caltech campus and samples were collected from April- August 2020. The major activities proposed here are collection of a complementary data set from April-August 2022; analysis and modeling of the 2020 and 2022 data sets; and data sharing and reporting for 2020 and 2022. The objectives of the proposed research are to: 1) identify and quantify the ambient gas-phase organic compounds (intermediate and volatile organic compounds, I/VOCs) across a gradient of human activity during and after the COVID-19 shelter in-place orders; 2) quantify I/VOC source markers and evaluate the contribution of sourcespecific emissions to measured I/VOCs; 3) compare calculated emission ratios to published emission ratios, to assess spatial and temporal changes in these values and to evaluate the localized impacts of reduced human activity during COVID-19 on atmospheric composition; and 4) assess the contribution of identified compounds to O3 and PM2.5 formation and the sensitivity of O3 and PM2.5 formation to observed changes in I/VOCs and meteorological parameters.', 'language': 'en'}, NULL, 'NA21OAR4310223', 'Not available', '2021-09-01', '2023-08-31', 2021, 2023, '[2021 2022 2023]', '[]', '[]', '[''grid.266093.8'']', '[{''name'': ''UNIVERSITY OF CALIFORNIA, IRVINE'', ''city'': ''Irvine'', ''country'': ''US'', ''grid_id'': ''grid.266093.8''}]', '[5359777]', '[''US-CA'']', '[''US'']', 'grid.3532.7', '[4140963]', '[''US-DC'']', '[''US'']', 199852.0, 'USD', 273575.0, 252606.0, 185212.0, 178051.0, 149576.0, 23448372.0, 293533.0, 199852.0, 1275818.0, '[{''concept'': ''human activities'', ''relevance'': 0.7564126621}
 {''concept'': ''South Coast Air Basin'', ''relevance'': 0.7481653841}
 {''concept'': ''emission ratio'', ''relevance'': 0.7469586187}
 {''concept'': ''gas-phase organic compounds'', ''relevance'': 0.7430201783}
 {''concept'': ''sensitivity of O3'', ''relevance'': 0.7177968444}
 {''concept'': ''LA Basin'', ''relevance'': 0.6906665195}
 {''concept'': ''atmospheric processes'', ''relevance'': 0.6879780362}
 {''concept'': ''atmospheric composition'', ''relevance'': 0.6868986245}
 {''concept'': ''urban air quality'', ''relevance'': 0.6867373951}
 {''concept'': ''situ data'', ''relevance'': 0.6834462115}
 {''concept'': ''meteorological parameters'', ''relevance'': 0.6733451149}
 {''concept'': ''Air Basin'', ''relevance'': 0.6731150762}
 {''concept'': ''source markers'', ''relevance'': 0.6664279128}
 {''concept'': ''Caltech campus'', ''relevance'': 0.662113855}
 {''concept'': ''temporal changes'', ''relevance'': 0.63560618}
 {''concept'': ''air quality'', ''relevance'': 0.6307564525}
 {''concept'': ''basin'', ''relevance'': 0.62537235}
 {''concept'': ''observed changes'', ''relevance'': 0.5990322714}
 {''concept'': ''organic compounds'', ''relevance'': 0.5939243403}
 {''concept'': ''O3'', ''relevance'': 0.5840419813}
 {''concept'': ''complementary data'', ''relevance'': 0.5815398487}
 {''concept'': ''gaseous compounds'', ''relevance'': 0.5736620015}
 {''concept'': ''data sets'', ''relevance'': 0.5647011668}
 {''concept'': ''compounds'', ''relevance'': 0.540899757}
 {''concept'': ''Pasadena'', ''relevance'': 0.5129898245}
 {''concept'': ''suite'', ''relevance'': 0.5107948892}
 {''concept'': ''VOCs'', ''relevance'': 0.4922335259}
 {''concept'': ''formation'', ''relevance'': 0.4786345241}
 {''concept'': ''Ca'', ''relevance'': 0.4769167307}
 {''concept'': ''major activity'', ''relevance'': 0.4665505972}
 {''concept'': ''gradient'', ''relevance'': 0.4616575607}
 {''concept'': ''changes'', ''relevance'': 0.4546865588}
 {''concept'': ''contribution'', ''relevance'': 0.4538061405}
 {''concept'': ''composition'', ''relevance'': 0.4533829039}
 {''concept'': ''data'', ''relevance'': 0.4395756024}
 {''concept'': ''source'', ''relevance'': 0.4356753704}
 {''concept'': ''ratio'', ''relevance'': 0.4245997612}
 {''concept'': ''gas'', ''relevance'': 0.4106883302}
 {''concept'': ''emission'', ''relevance'': 0.4088086387}
 {''concept'': ''modeling'', ''relevance'': 0.4012472939}
 {''concept'': ''instrumentation'', ''relevance'': 0.386315789}
 {''concept'': ''impact'', ''relevance'': 0.3840055079}
 {''concept'': ''activity'', ''relevance'': 0.3806302769}
 {''concept'': ''samples'', ''relevance'': 0.3586857648}
 {''concept'': ''shelter'', ''relevance'': 0.3564966716}
 {''concept'': ''process'', ''relevance'': 0.3500692305}
 {''concept'': ''values'', ''relevance'': 0.3422644205}
 {''concept'': ''set'', ''relevance'': 0.317317944}
 {''concept'': ''parameters'', ''relevance'': 0.3129201747}
 {''concept'': ''analysis'', ''relevance'': 0.3121629242}
 {''concept'': ''order'', ''relevance'': 0.3048354918}
 {''concept'': ''sensitivity'', ''relevance'': 0.2993975064}
 {''concept'': ''quality'', ''relevance'': 0.2846108285}
 {''concept'': ''collaborative effort'', ''relevance'': 0.2831044444}
 {''concept'': ''collection'', ''relevance'': 0.2665371641}
 {''concept'': ''efforts'', ''relevance'': 0.2578312873}
 {''concept'': ''research'', ''relevance'': 0.2409624505}
 {''concept'': ''objective'', ''relevance'': 0.2336049283}
 {''concept'': ''observations'', ''relevance'': 0.2300438896}
 {''concept'': ''data sharing'', ''relevance'': 0.2204583046}
 {''concept'': ''propose'', ''relevance'': 0.2170703794}
 {''concept'': ''campus'', ''relevance'': 0.2069582366}
 {''concept'': ''sharing'', ''relevance'': 0.13564329}
 {''concept'': ''markers'', ''relevance'': 0.1353674967}
 {''concept'': ''place orders'', ''relevance'': 0.0982625582}
 {''concept'': ''elucidate sources'', ''relevance'': 0.0915174699}
 {''concept'': ''COVID-19'', ''relevance'': 0.0850292368}
 {''concept'': ''COVID-19 shelter'', ''relevance'': 0.0598392434}]', NULL, {'first_level': {'codes': "['03']", 'full': "[{'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}]"}, 'second_level': {'codes': "['0399']", 'full': "[{'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}]"}}, NULL, NULL, NULL, NULL, NULL, NULL, NULL, {'codes': "['B07']", 'full': "[{'id': '30007', 'code': 'B07', 'name': 'Earth Systems and Environmental Sciences'}]"}, {'bra_v1': None, 'for_v1': {'first_level': {'codes': "['03']", 'full': "[{'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}]"}, 'second_level': {'codes': "['0399']", 'full': "[{'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}]"}}, 'hra_v1': None, 'hrcs_hc_v1': None, 'hrcs_rac_v1': None, 'icrp_cso_v1': None, 'icrp_ct_v1': None, 'rcdc_v1': None, 'sdg_v1': None, 'uoa_v1': {'codes': "['B07']", 'full': "[{'id': '30007', 'code': 'B07', 'name': 'Earth Systems and Environmental Sciences'}]"}, 'bra_v2020': None, 'for_v2020': {'first_level': {'codes': "['04' '03' '05']", 'full': "[{'id': '2204', 'code': '04', 'name': 'Earth Sciences'}\n {'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}\n {'id': '2205', 'code': '05', 'name': 'Environmental Sciences'}]"}, 'second_level': {'codes': "['0401' '0399' '0502']", 'full': "[{'id': '2493', 'code': '0401', 'name': 'Atmospheric Sciences'}\n {'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}\n {'id': '2558', 'code': '0502', 'name': 'Environmental Science and Management'}]"}}, 'hrcs_hc_v2020': None, 'hrcs_rac_v2020': None, 'icrp_cso_v2020': None, 'icrp_ct_v2020': None, 'rcdc_v2020': None, 'for_2020_v2022': {'first_level': {'codes': "['37' '41']", 'full': "[{'id': '80008', 'code': '37', 'name': 'Earth Sciences'}\n {'id': '80012', 'code': '41', 'name': 'Environmental Sciences'}]"}, 'second_level': {'codes': "['3701' '4105']", 'full': "[{'id': '80090', 'code': '3701', 'name': 'Atmospheric Sciences'}\n {'id': '80133', 'code': '4105', 'name': 'Pollution And Contamination'}]"}}}, '2021-08-17 08:28:37+00:00', '2022-08-31 03:03:16+00:00', '[]', '[''NOAA'']'), ('grant.9852376', 'Changes in Air Quality in Los Angeles Associated with COVID-19 ''Safer-at-Home'' Traffic Reductions', 'In this project, the PIs will analyze observations made during the dramatic reductions in traffic in spring and early summer 2020 (during the COVID-19 period) to better understand the factors contributing to poor air quality in the SoCAB. These observations include those from a suite of air quality monitoring instrumentation that was deployed on the campus of the California Institute of Technology in March 2020 (aerosol composition, PM2.5 mass, NO, NO2, NOy, O3, SO2 and CO). Volatile organic compounds (VOC) sampling was performed in association with UCRiverside and UC-Irvine. CIMS observations of oxygenated VOC (OVOC) and acids were brought online shortly thereafter. PIs will also include air quality data (i.e., O3, NOx, PM2.5 mass, SO2, and CO) collected by the South Coast Air Quality Management District (South Coast AQMD) across the Basin in our analysis to gain a better understanding of the spatial variations of these pollutants. Together, these data provide key observations that can inform what air quality management efforts will be most efficient to bring the Basin into attainment. Here, the PIs propose to use a hierarchy of analysis and modeling approaches to study the 2020 data within the context of both previous observations (e.g. CalNex) and a repeat set of measurements proposed here for spring/summer 2022 when, presumably, traffic levels will be restored to normal.', 'en', {'value': "Changes in Air Quality in Los Angeles Associated with COVID-19 'Safer-at-Home' Traffic Reductions", 'language': 'en'}, {'value': 'In this project, the PIs will analyze observations made during the dramatic reductions in traffic in spring and early summer 2020 (during the COVID-19 period) to better understand the factors contributing to poor air quality in the SoCAB. These observations include those from a suite of air quality monitoring instrumentation that was deployed on the campus of the California Institute of Technology in March 2020 (aerosol composition, PM2.5 mass, NO, NO2, NOy, O3, SO2 and CO). Volatile organic compounds (VOC) sampling was performed in association with UCRiverside and UC-Irvine. CIMS observations of oxygenated VOC (OVOC) and acids were brought online shortly thereafter. PIs will also include air quality data (i.e., O3, NOx, PM2.5 mass, SO2, and CO) collected by the South Coast Air Quality Management District (South Coast AQMD) across the Basin in our analysis to gain a better understanding of the spatial variations of these pollutants. Together, these data provide key observations that can inform what air quality management efforts will be most efficient to bring the Basin into attainment. Here, the PIs propose to use a hierarchy of analysis and modeling approaches to study the 2020 data within the context of both previous observations (e.g. CalNex) and a repeat set of measurements proposed here for spring/summer 2022 when, presumably, traffic levels will be restored to normal.', 'language': 'en'}, NULL, 'NA21OAR4310224', 'Not available', '2021-09-01', '2023-08-31', 2021, 2023, '[2021 2022 2023]', '[]', '[]', '[''grid.20861.3d'']', '[{''name'': ''CALIFORNIA INSTITUTE OF TECHNOLOGY'', ''city'': ''Pasadena'', ''country'': ''US'', ''grid_id'': ''grid.20861.3d''}]', '[5381396]', '[''US-CA'']', '[''US'']', 'grid.3532.7', '[4140963]', '[''US-DC'']', '[''US'']', 298462.0, 'USD', 408562.0, 377251.0, 276604.0, 265910.0, 223379.0, 35018264.0, 438371.0, 298462.0, 1905334.0, '[{''concept'': ''air quality'', ''relevance'': 0.6901418935}
 {''concept'': ''early summer 2020'', ''relevance'': 0.6746468871}
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 {''concept'': ''poor air quality'', ''relevance'': 0.6422908002}
 {''concept'': ''air quality data'', ''relevance'': 0.6331712023}
 {''concept'': ''Management District'', ''relevance'': 0.6320885497}
 {''concept'': ''spatial variation'', ''relevance'': 0.6171700214}
 {''concept'': ''basin'', ''relevance'': 0.5908748457}
 {''concept'': ''quality data'', ''relevance'': 0.5889729197}
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 {''concept'': ''California Institute'', ''relevance'': 0.5244867787}
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 {''concept'': ''better understanding'', ''relevance'': 0.4498357743}
 {''concept'': ''data'', ''relevance'': 0.4361777072}
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 {''concept'': ''pollutants'', ''relevance'': 0.4272782579}
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 {''concept'': ''quality'', ''relevance'': 0.3114068121}
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 {''concept'': ''reduction'', ''relevance'': 0.2957155618}
 {''concept'': ''Associated'', ''relevance'': 0.2896901728}
 {''concept'': ''Institute'', ''relevance'': 0.2793278237}
 {''concept'': ''levels'', ''relevance'': 0.2593494355}
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 {''concept'': ''context'', ''relevance'': 0.2385115355}
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 {''concept'': ''traffic levels'', ''relevance'': 0.2258284036}
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 {''concept'': ''campus'', ''relevance'': 0.1955417698}
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 {''concept'': ''technology'', ''relevance'': 0.1406110835}
 {''concept'': ''acid'', ''relevance'': 0.1369284552}
 {''concept'': ''PI'', ''relevance'': 0.1354956554}
 {''concept'': ''attainment'', ''relevance'': 0.1327572277}
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 {''concept'': ''observations'', ''relevance'': 0.0536643661}
 {''concept'': ''PIS'', ''relevance'': 0.0365518187}
 {''concept'': ''COVID-19'', ''relevance'': 0.0270169511}
 {''concept'': ''compound sampling'', ''relevance'': 0.0221263847}
 {''concept'': ''traffic reduction'', ''relevance'': 0.0121765724}
 {''concept'': ''hierarchy of analysis'', ''relevance'': 0.0014113158}
 {''concept'': ''repeat set'', ''relevance'': 0.0009651034}]', NULL, {'first_level': {'codes': "['03']", 'full': "[{'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}]"}, 'second_level': {'codes': "['0399']", 'full': "[{'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}]"}}, NULL, NULL, NULL, NULL, NULL, NULL, NULL, {'codes': "['B07']", 'full': "[{'id': '30007', 'code': 'B07', 'name': 'Earth Systems and Environmental Sciences'}]"}, {'bra_v1': None, 'for_v1': {'first_level': {'codes': "['03']", 'full': "[{'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}]"}, 'second_level': {'codes': "['0399']", 'full': "[{'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}]"}}, 'hra_v1': None, 'hrcs_hc_v1': None, 'hrcs_rac_v1': None, 'icrp_cso_v1': None, 'icrp_ct_v1': None, 'rcdc_v1': None, 'sdg_v1': None, 'uoa_v1': {'codes': "['B07']", 'full': "[{'id': '30007', 'code': 'B07', 'name': 'Earth Systems and Environmental Sciences'}]"}, 'bra_v2020': None, 'for_v2020': {'first_level': {'codes': "['04']", 'full': "[{'id': '2204', 'code': '04', 'name': 'Earth Sciences'}]"}, 'second_level': {'codes': "['0401']", 'full': "[{'id': '2493', 'code': '0401', 'name': 'Atmospheric Sciences'}]"}}, 'hrcs_hc_v2020': None, 'hrcs_rac_v2020': None, 'icrp_cso_v2020': None, 'icrp_ct_v2020': None, 'rcdc_v2020': None, 'for_2020_v2022': {'first_level': {'codes': "['37' '41']", 'full': "[{'id': '80008', 'code': '37', 'name': 'Earth Sciences'}\n {'id': '80012', 'code': '41', 'name': 'Environmental Sciences'}]"}, 'second_level': {'codes': "['3701' '4105']", 'full': "[{'id': '80090', 'code': '3701', 'name': 'Atmospheric Sciences'}\n {'id': '80133', 'code': '4105', 'name': 'Pollution And Contamination'}]"}}}, '2021-10-08 05:14:35+00:00', '2022-08-31 03:03:16+00:00', '[]', '[''NOAA'']'), ('grant.9780473', 'Using Observations of Gaseous Compounds in the LA Basin during COVID-19 to Elucidate Sources and Atmospheric Processes Affecting Urban Air Quality', 'The PIs propose to build on a collaborative effort initiated in March 2020, to collect in-situ data in Pasadena, CA within the South Coast Air Basin. A suite of gas- and particle-phase instrumentation was co-located on the Caltech campus and samples were collected from April- August 2020. The major activities proposed here are collection of a complementary data set from April-August 2022; analysis and modeling of the 2020 and 2022 data sets; and data sharing and reporting for 2020 and 2022. The objectives of the proposed research are to: 1) identify and quantify the ambient gas-phase organic compounds (intermediate and volatile organic compounds, I/VOCs) across a gradient of human activity during and after the COVID-19 shelter in-place orders; 2) quantify I/VOC source markers and evaluate the contribution of sourcespecific emissions to measured I/VOCs; 3) compare calculated emission ratios to published emission ratios, to assess spatial and temporal changes in these values and to evaluate the localized impacts of reduced human activity during COVID-19 on atmospheric composition; and 4) assess the contribution of identified compounds to O3 and PM2.5 formation and the sensitivity of O3 and PM2.5 formation to observed changes in I/VOCs and meteorological parameters.', 'en', {'value': 'Using Observations of Gaseous Compounds in the LA Basin during COVID-19 to Elucidate Sources and Atmospheric Processes Affecting Urban Air Quality', 'language': 'en'}, {'value': 'The PIs propose to build on a collaborative effort initiated in March 2020, to collect in-situ data in Pasadena, CA within the South Coast Air Basin. A suite of gas- and particle-phase instrumentation was co-located on the Caltech campus and samples were collected from April- August 2020. The major activities proposed here are collection of a complementary data set from April-August 2022; analysis and modeling of the 2020 and 2022 data sets; and data sharing and reporting for 2020 and 2022. The objectives of the proposed research are to: 1) identify and quantify the ambient gas-phase organic compounds (intermediate and volatile organic compounds, I/VOCs) across a gradient of human activity during and after the COVID-19 shelter in-place orders; 2) quantify I/VOC source markers and evaluate the contribution of sourcespecific emissions to measured I/VOCs; 3) compare calculated emission ratios to published emission ratios, to assess spatial and temporal changes in these values and to evaluate the localized impacts of reduced human activity during COVID-19 on atmospheric composition; and 4) assess the contribution of identified compounds to O3 and PM2.5 formation and the sensitivity of O3 and PM2.5 formation to observed changes in I/VOCs and meteorological parameters.', 'language': 'en'}, NULL, 'NA21OAR4310222', 'Not available', '2021-09-01', '2023-08-31', 2021, 2023, '[2021 2022 2023]', '[{''first_name'': ''Kelley'', ''last_name'': ''Barsanti'', ''researcher_id'': ''ur.0744126233.50'', ''role'': ''PI'', ''affiliations'': array([{''affiliation'': ''REGENTS OF THE UNIVERSITY OF CALIFORNIA AT RIVERSIDE'', ''grid_ids'': array([''grid.266097.c''], dtype=object), ''cities'': array([5387877]), ''countries_territories'': array([''US''], dtype=object), ''states'': array([''US-CA''], dtype=object)}],
       dtype=object)}                                                                                                                                                                                                                                                                                                                                                                 ]', '[''ur.0744126233.50'']', '[''grid.266097.c'']', '[{''name'': ''REGENTS OF THE UNIVERSITY OF CALIFORNIA AT RIVERSIDE'', ''city'': ''Riverside'', ''country'': ''US'', ''grid_id'': ''grid.266097.c''}]', '[5387877]', '[''US-CA'']', '[''US'']', 'grid.3532.7', '[4140963]', '[''US-DC'']', '[''US'']', 193951.0, 'USD', 265497.0, 245147.0, 179744.0, 172794.0, 145157.0, 22755996.0, 284865.0, 193951.0, 1238147.0, '[{''concept'': ''human activities'', ''relevance'': 0.7564126621}
 {''concept'': ''South Coast Air Basin'', ''relevance'': 0.7481653841}
 {''concept'': ''emission ratio'', ''relevance'': 0.7469586187}
 {''concept'': ''gas-phase organic compounds'', ''relevance'': 0.7430201783}
 {''concept'': ''sensitivity of O3'', ''relevance'': 0.7177968444}
 {''concept'': ''LA Basin'', ''relevance'': 0.6906665195}
 {''concept'': ''atmospheric processes'', ''relevance'': 0.6879780362}
 {''concept'': ''atmospheric composition'', ''relevance'': 0.6868986245}
 {''concept'': ''urban air quality'', ''relevance'': 0.6867373951}
 {''concept'': ''situ data'', ''relevance'': 0.6834462115}
 {''concept'': ''meteorological parameters'', ''relevance'': 0.6733451149}
 {''concept'': ''Air Basin'', ''relevance'': 0.6731150762}
 {''concept'': ''source markers'', ''relevance'': 0.6664279128}
 {''concept'': ''Caltech campus'', ''relevance'': 0.662113855}
 {''concept'': ''temporal changes'', ''relevance'': 0.63560618}
 {''concept'': ''air quality'', ''relevance'': 0.6307564525}
 {''concept'': ''basin'', ''relevance'': 0.62537235}
 {''concept'': ''observed changes'', ''relevance'': 0.5990322714}
 {''concept'': ''organic compounds'', ''relevance'': 0.5939243403}
 {''concept'': ''O3'', ''relevance'': 0.5840419813}
 {''concept'': ''complementary data'', ''relevance'': 0.5815398487}
 {''concept'': ''gaseous compounds'', ''relevance'': 0.5736620015}
 {''concept'': ''data sets'', ''relevance'': 0.5647011668}
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 {''concept'': ''place orders'', ''relevance'': 0.0982625582}
 {''concept'': ''elucidate sources'', ''relevance'': 0.0915174699}
 {''concept'': ''COVID-19'', ''relevance'': 0.0850292368}
 {''concept'': ''COVID-19 shelter'', ''relevance'': 0.0598392434}]', NULL, {'first_level': {'codes': "['03']", 'full': "[{'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}]"}, 'second_level': {'codes': "['0399']", 'full': "[{'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}]"}}, NULL, NULL, NULL, NULL, NULL, NULL, NULL, {'codes': "['B07']", 'full': "[{'id': '30007', 'code': 'B07', 'name': 'Earth Systems and Environmental Sciences'}]"}, {'bra_v1': None, 'for_v1': {'first_level': {'codes': "['03']", 'full': "[{'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}]"}, 'second_level': {'codes': "['0399']", 'full': "[{'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}]"}}, 'hra_v1': None, 'hrcs_hc_v1': None, 'hrcs_rac_v1': None, 'icrp_cso_v1': None, 'icrp_ct_v1': None, 'rcdc_v1': None, 'sdg_v1': None, 'uoa_v1': {'codes': "['B07']", 'full': "[{'id': '30007', 'code': 'B07', 'name': 'Earth Systems and Environmental Sciences'}]"}, 'bra_v2020': None, 'for_v2020': {'first_level': {'codes': "['04' '03' '05']", 'full': "[{'id': '2204', 'code': '04', 'name': 'Earth Sciences'}\n {'id': '2203', 'code': '03', 'name': 'Chemical Sciences'}\n {'id': '2205', 'code': '05', 'name': 'Environmental Sciences'}]"}, 'second_level': {'codes': "['0401' '0399' '0502']", 'full': "[{'id': '2493', 'code': '0401', 'name': 'Atmospheric Sciences'}\n {'id': '2486', 'code': '0399', 'name': 'Other Chemical Sciences'}\n {'id': '2558', 'code': '0502', 'name': 'Environmental Science and Management'}]"}}, 'hrcs_hc_v2020': None, 'hrcs_rac_v2020': None, 'icrp_cso_v2020': None, 'icrp_ct_v2020': None, 'rcdc_v2020': None, 'for_2020_v2022': {'first_level': {'codes': "['37' '41']", 'full': "[{'id': '80008', 'code': '37', 'name': 'Earth Sciences'}\n {'id': '80012', 'code': '41', 'name': 'Environmental Sciences'}]"}, 'second_level': {'codes': "['3701' '4105']", 'full': "[{'id': '80090', 'code': '3701', 'name': 'Atmospheric Sciences'}\n {'id': '80133', 'code': '4105', 'name': 'Pollution And Contamination'}]"}}}, '2021-09-08 06:50:42+00:00', '2022-08-31 03:03:16+00:00', '[]', '[''NOAA'']');