Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2022-01-18
- Identifier
- doi: / 10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad
- Other citation details
- Robroek, B.J.M., Shepherd, H.E.R., Sahar, N.E., Dumont, M.G. (2022). Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018. NERC EDS Environmental Information Data Centre 10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad
- GEMET - INSPIRE themes, version 1.0 ()
-
- Environmental Monitoring Facilities
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Robroek, B.J.M., Shepherd, H.E.R., Sahar, N.E., Dumont, M.G. (2022). Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad
- Spatial representation type
- textTable
- Distance
- 10 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Biota
- Environment
- Begin date
- 2018-10-01
- End date
- 2018-10-31
- Code
- GB place names
Distribution Information
- Data format
-
-
Comma-separated values (CSV)
()
-
Comma-separated values (CSV)
()
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- DNA was extracted from the peat soil using the QIAGEN DNeasy powersoil kit, following standard manual specifications. The extracted DNA was then sequenced through the use of high-throughput sequencing, using 515F/806R primers that target the V4 region of the 16S rRNA. Results from the sequencing were then cleaned and prepared using the DADA2 pipeline to produce the ASV table.
Metadata
- File identifier
- 01ced3c2-17c6-4512-b73b-e065afed7bad XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-02-12T16:54:25
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3