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Keane, J.B.; Hoosbeek, M.R.; Taylor, C.R.; Miglietta, F.; Phoenix, G.K.; Hartley, I.P.

Soil extracellular enzyme activity under controlled CO2 concentrations, Sheffield

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This dataset is available under the terms of the Open Government Licence

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https://doi.org/10.5285/5e944db2-305f-4f15-87b4-5110224ac90d

This dataset contains potential activities of soil extra cellular enzyme measured from soil samples from the Phosphorus Limitation And ecosystem responses to Carbon dioxide Enrichment (PLACE). The enzyme activities measured are 1,4-β-glucosidase, cellobiohydrolase, N-acetyl β-D-glucosaminidase, leucine aminopeptidase, and acid phosphatase.

Soil samples were collected in Autumn 2018 and analysed in the laboratory at Wageningen University.

The experimental design uses 35 cm x 35 cm turf mesocosms from a long term nutrient manipulation experiment. The original experiment is based at Wardlow Hay Cop in the Peak District, UK. Two adjacent P-limited grass lands on a limestone/ calcareous soil and an acidic soil have had nutrient manipulated for more than 20 years. In 2018 these mesocosms were exposed to either ambient CO2 (ca. 410 ppm) or 600 ppm.

Publication date: 2021-01-13

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Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

OSGB 1936 / British National Grid

Temporal information

Temporal extent

2018-09-01 to 2018-12-01

Provenance & quality

All data were generated by the authors. Enzyme analyses were conducted in triplicate (technical replication) and activities of unknown samples were calculated in reference to known substrate standards. All calculations were checked for errors prior to acceptance.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

Keane, J.B.; Hoosbeek, M.R.; Taylor, C.R.; Miglietta, F.; Phoenix, G.K.; Hartley, I.P. (2021). Soil extracellular enzyme activity under controlled CO2 concentrations, Sheffield. NERC Environmental Information Data Centre. https://doi.org/10.5285/5e944db2-305f-4f15-87b4-5110224ac90d

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