Research Data Leeds Repository
Items where Subject is "C000 - Biological sciences > C100 - Biology > C180 - Ecology > C185 - Ecosystem ecology & land use"
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- Joint Academic Coding System (JACS) (1383)
- C000 - Biological sciences (194)
- C100 - Biology (47)
- C180 - Ecology (22)
- C185 - Ecosystem ecology & land use (8)
- C180 - Ecology (22)
- C100 - Biology (47)
- C000 - Biological sciences (194)
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Brown, Lee and Holden, Joseph (2020) EMBER comparison - systematic review. University of Leeds. [Dataset] https://doi.org/10.5518/833
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Doggart, Nike, Mugasha, Wilson A., Mpiri, Aloyce, Morgan-Brown, Theron, Sallu, Susannah M. and Spracklen, Dominick V. (2023) Forest cover change Tanzania 1987 to 2021 & biomass data. University of Leeds. [Dataset] https://doi.org/10.5518/1295
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Favretto, Nicola (2018) Data associated with 'Links between climate change mitigation, adaptation and development in land policy and ecosystem restoration projects: lessons from South Africa'. University of Leeds. [Dataset] https://doi.org/10.5518/347
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Garba, Sani, Ebmeier, Susanna K., Bastin, Jean-François, Mollicone, Danilo and Holden, Joseph (2023) Dataset for Wetland Ecology Management Paper "Wetland mapping at 10 m resolution reveals fragmentation in southern Nigeria". University of Leeds. [Dataset] https://doi.org/10.5518/1314
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Monger, Felicity, Bond, Stephanie, Spracklen, Dominick V. and Kirkby, Mike (2022) Overland flow velocity and soil properties. University of Leeds. [Dataset] https://doi.org/10.5518/1059
Monger, Felicity, Spracklen, Dominick V., Kirkby, Mike and Schofield, Lee (2022) The impact of semi-natural woodland and pasture on soil properties and streamflow - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/950
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Padgett, Thomas and Thomas, Robert (2019) Models of upstream movement of juvenile European eels (Anguilla anguilla) through studded eel tiles. University of Leeds. [Dataset] https://doi.org/10.5518/710
Pringle, Stephen, Chiweshe, Ngoni and Dallimer, Martin (2022) Zimbabwe Field Transect Data 2012 - 2020. University of Leeds. [Dataset] https://doi.org/10.5518/1100


