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Items where NERC Author is "Blair, Gordon Shaw"

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Number of items: 4.

2024

Widdicks, Kelly ORCID: https://orcid.org/0000-0003-3502-9172; Samreen, Faiza ORCID: https://orcid.org/0000-0002-9522-0713; Blair, Gordon S. ORCID: https://orcid.org/0000-0001-6212-1906; Rennie, Susannah ORCID: https://orcid.org/0000-0002-0027-0436; Watkins, John ORCID: https://orcid.org/0000-0002-3518-8918. 2024 A multi-dimensional approach to the future of digital research infrastructure for systemic environmental science. Patterns, 5 (11), 101092. 4, pp. https://doi.org/10.1016/j.patter.2024.101092

2023

Blair, Gordon S. ORCID: https://orcid.org/0000-0001-6212-1906; Henrys, Peter A. ORCID: https://orcid.org/0000-0003-4758-1482. 2023 The role of data science in environmental digital twins: in praise of the arrows [in special issue: Environmental data science: part 2] Environmetrics, 34 (2), e2789. 6, pp. https://doi.org/10.1002/env.2789

Widdicks, Kelly; Lucivero, Federica; Samuel, Gabrielle; Croxatto, Lucas Somavilla; Smith, Marcia Tavares; Holter, Carolyn Ten; Berners-Lee, Mike; Blair, Gordon S. ORCID: https://orcid.org/0000-0001-6212-1906; Jirotka, Marina; Knowles, Bran; Sorrell, Steven; Rivera, Miriam Börjesson; Cook, Caroline; Coroamă, Vlad C.; Foxon, Timothy J.; Hardy, Jeffrey; Hilty, Lorenz M.; Hinterholzer, Simon; Penzenstadler, Birgit. 2023 Systems thinking and efficiency under emissions constraints: addressing rebound effects in digital innovation and policy. Patterns, 4 (2), 100679. 10, pp. https://doi.org/10.1016/j.patter.2023.100679

2022

Tso, Chak Hau Michael ORCID: https://orcid.org/0000-0002-2415-0826; Hollaway, Michael ORCID: https://orcid.org/0000-0003-0386-2696; Killick, Rebecca; Henrys, Peter ORCID: https://orcid.org/0000-0003-4758-1482; Monteith, Don ORCID: https://orcid.org/0000-0003-3219-1772; Watkins, John ORCID: https://orcid.org/0000-0002-3518-8918; Blair, Gordon Shaw ORCID: https://orcid.org/0000-0001-6212-1906. 2022 Advancing reproducible research by publishing R markdown notebooks as interactive sandboxes using the learnr package. The R Journal, 14 (1). 255-263. https://doi.org/10.32614/RJ-2022-021

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