A. M. Brown, A. M. Bass, M. H. Garnett, U. M. Skiba, J. M. Macdonald and A. E. Pickard 01 2024 ‘Sources and controls of greenhouse gases and heavy metals in mine water: A continuing climate legacy’,
Science of the Total Environment 906 , doi:
https://doi.org/10.1016/j.scitotenv.2023.167371
A. M. Brown, A. M. Bass, S. White, M. Corr, U. Skiba, J. M. MacDonald and A. E. Pickard 09 2023 ‘The impact of estuarine flushing on greenhouse gases: A study of the stratified Clyde estuary’,
Estuarine, Coastal and Shelf Science 304 , doi:
https://doi.org/10.1016/j.ecss.2024.108830
A. M. Brown, M. Garnett, L. Eades and A. E. Pickard 6 2023 ‘Greenhouse gas, carbon isotopes, water physio-chemical properties and metal concentrations from mine water outflows in the Midland Valley, Scotland, 2022’,
NERC EDS Environmental Information Data Centre. (Dataset) , doi:
https://doi.org/10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e
A. M. Brown, S. White, M. T. Corr, E. Hurst, A. L. Grant, J. P. Olszewska, G. Y. Toteva and A. E. Pickard 07 2023 ‘Physico-chemical water properties and greenhouse gas measurements along a longitudinal estuary transect, Clyde estuary, Scotland, 2020-2022’,
NERC EDS Environmental Information Data Centre. (Dataset) , doi:
https://doi.org/10.5285/a22b495e-b2cd-43cd-95b7-8712b64dc0da
A. M. Brown, A. M. Bass, U. Skiba, J. M. MacDonald, A. E. Pickard 5 2022 ‘Urban landscapes and legacy industry provide hotspots for riverine greenhouse gases: A source-to-sea study of the River Clyde’,
Water Research 236 , doi:
https://doi.org/10.1016/j.watres.2023.119969
A. M. Brown, A. M. Bass, A. E. Pickard 1 2022 ‘Anthropogenic-estuarine interactions cause disproportionate greenhouse gas production: A review of the evidence base’,
Marine Pollution Bulletin 174 , doi:
https://doi.org/10.1016/j.marpolbul.2021.113240
A. E. Pickard, U. M. Skiba, L. Carvalho, A. M. Brown, K. V. Heal, R. M. Rees and J. F. Harley 1 2020 ‘Greenhouse gas and water chemistry data measured across the Tay estuary, Scotland, from 2009-2011’,
NERC Environmental Information Data Centre. (Dataset) , doi:
https://doi.org/10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd