Soil microbial potential enzyme activities in fertilised plots in the Central Amazon, 2018

• Published by: Environmental Information Data Centre
• Last updated: 16 February 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

The data consists of potential activity of enzymes released by microorganisms in soils of old growth forests in the Central Amazon. Soils were sampled in January 2018, seven months after nutrient addition in a large-scale nutrient fertilisation experiment. Enzyme activities are given as a mean of the microbial community per plot, where five points inside each plot were sampled in the 0-5 cm and 5-10 cm soil layers. The dataset depicts the potential activities of the following enzymes: ß-glucosidase, N-acetyl ß-glucosaminidase and phosphomonoesterase at two different soil depths. Samples were collected at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/b9a2523e-09ba-43c7-acfa-a894a231b133

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Link to the data	Format	File added	Data preview
Supporting information	ZIP	16 February 2023	Not available
Download the data	N/A	16 February 2023	Not available

Additional information

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• Added to data.gov.uk: 2022-05-18T13:26:09
• Access contraints: © Natural Environment Research Council
• Harvest GUID: b9a2523e-09ba-43c7-acfa-a894a231b133
• Extent: Latitude: 5.1° to -24.6°
• Extent: Longitude: -68.5° to -31.7°
• Dataset reference date: 2020-04-02 (publication)
• Responsible party: National Institute of Amazonian Research, Brazil (author, pointOfContact); Nanyang Technological University, Singapore (author); University of Exeter (author, pointOfContact); Natural History Museum, University of Oslo, Norway (author); NERC Environmental Information Data Centre (publisher); NERC EDS Environmental Information Data Centre (custodian)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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