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{'doi': '10.1190/geo2019-0774.1', 'member_id': '186', 'member': 'Society of Exploration Geophysicists', 'container-title': 'GEOPHYSICS', 'primary-resource': 'https://library.seg.org/doi/10.1190/geo2019-0774.1', 'tld': 'seg.org', 'clearbit-logo': 'https://logo.clearbit.com/seg.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://pubs.geoscienceworld.org/geophysics/article/85/5/ks149/589720/application-of-machine-learning-to-microseismic', 'tld': 'geoscienceworld.org', 'clearbit-logo': 'https://logo.clearbit.com/geoscienceworld.org'}], 'type': 'JOURNAL ARTICLE', 'published_date': '1 September 2020', 'publication': 'GEOPHYSICS', 'supplementary_ids': '10.1190/geo2019-0774.1', 'title': 'Application of machine learning to microseismic event detection in distributed acoustic sensing data', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1190/geo2019-0774.1', 'grant_info': 'Natural Environment Research Council (NE/R014531/1)', 'editors': None, 'authors': 'Anna L. Stork | Alan F. Baird | Steve A. Horne | Garth Naldrett | Sacha Lapins | J.-Michael Kendall | James Wookey | James P. Verdon | Andy Clarke | Anna Williams', 'chairs': None}
https://doi.org/10.1190/geo2019-0774.1
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