{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T18:21:51Z","timestamp":1767205311641,"version":"build-2238731810"},"update-to":[{"DOI":"10.3390\/rs12223803","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T00:00:00Z","timestamp":1605830400000}}],"reference-count":1,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T00:00:00Z","timestamp":1631145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/M022625\/1"],"award-info":[{"award-number":["MR\/M022625\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Environment Research Council UK","award":["NE\/R009384\/1"],"award-info":[{"award-number":["NE\/R009384\/1"]}]},{"name":"Natural Environment Research Council UK","award":["820655"],"award-info":[{"award-number":["820655"]}]},{"name":"Natural Environment Research Council UK","award":["NE\/R016429\/1"],"award-info":[{"award-number":["NE\/R016429\/1"]}]}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the original article [...]<\/jats:p>","DOI":"10.3390\/rs13183588","type":"journal-article","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T21:36:58Z","timestamp":1631223418000},"page":"3588","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Correction: Schneider et al. A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain. Remote Sens. 2020, 12, 3803"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2905-0154","authenticated-orcid":false,"given":"Rochelle","family":"Schneider","sequence":"first","affiliation":[{"name":"Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK"},{"name":"The Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK"},{"name":"Department of Forecasts, European Centre for Medium-Range Weather Forecast, Reading RG2 9AX, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6982-8867","authenticated-orcid":false,"given":"Ana M.","family":"Vicedo-Cabrera","sequence":"additional","affiliation":[{"name":"Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland"},{"name":"Oeschger Center for Climate Change Research, University of Bern, 3012 Bern, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8890-6848","authenticated-orcid":false,"given":"Francesco","family":"Sera","sequence":"additional","affiliation":[{"name":"Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7326-1290","authenticated-orcid":false,"given":"Pierre","family":"Masselot","sequence":"additional","affiliation":[{"name":"Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK"}]},{"given":"Massimo","family":"Stafoggia","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Lazio Regional Health Service, 00147 Rome, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5974-2007","authenticated-orcid":false,"given":"Kees","family":"de Hoogh","sequence":"additional","affiliation":[{"name":"Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland"},{"name":"University of Basel, Petersplatz 1, 4051 Basel, Switzerland"}]},{"given":"Itai","family":"Kloog","sequence":"additional","affiliation":[{"name":"Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva P.O. Box 653, Israel"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2428-8320","authenticated-orcid":false,"given":"Stefan","family":"Reis","sequence":"additional","affiliation":[{"name":"UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Edinburgh, Midlothian EH26 0QB, UK"},{"name":"University of Exeter Medical School, Knowledge Spa, Truro TR1 3HD, UK"}]},{"given":"Massimo","family":"Vieno","sequence":"additional","affiliation":[{"name":"UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Edinburgh, Midlothian EH26 0QB, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2271-3568","authenticated-orcid":false,"given":"Antonio","family":"Gasparrini","sequence":"additional","affiliation":[{"name":"Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK"},{"name":"The Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK"},{"name":"Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Schneider, R., Vicedo-Cabrera, A.M., Sera, F., Masselot, P., Stafoggia, M., de Hoogh, K., Kloog, I., Reis, S., Vieno, M., and Gasparrini, A. (2020). A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain. Remote Sens., 12.","DOI":"10.3390\/rs12223803"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3588\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T07:11:15Z","timestamp":1721286675000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3588"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,9]]},"references-count":1,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["rs13183588"],"URL":"https:\/\/doi.org\/10.3390\/rs13183588","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,9]]}}}