Cite this dataset as
Robins, P.E. (2024). Water level time series for four UK estuaries: Conwy, Dyfi, Milford Haven and Kent, 2020-2023. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/84600f32-b4e8-4f29-851a-5ed0cd8ec9a4
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This dataset is available under the terms of the Open Government Licence
Water level time series for four UK estuaries: Conwy, Dyfi, Milford Haven and Kent, 2020-2023
Data was collected between 2020 and 2023. The temporal resolution is either 1s or 10 s.
Specific information on the data locations, deployment methods, units and reference levels, data structure, and quality control can be found in the accompanying supporting documentation (read_me.docx).
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
-
2020-01-01 to 2023-12-31
- Temporal resolution
- 1 seconds, 10 seconds
Provenance & quality
The data is presented in raw format and no further processing has taken place.
Correspondence/contact details
Author
Other contacts
- Rights holder
-
Bangor University
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- environment
inlandWaters - INSPIRE theme
- Keywords
- estuary , water level
- Funding
- Natural Environment Research Council Award: NE/V004239/1
- Last updated
- 17 April 2024 10:34
More information about these numbers
Get the data
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
CITE AS: Robins, P.E. (2024). Water level time series for four UK estuaries: Conwy, Dyfi, Milford Haven and Kent, 2020-2023. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/84600f32-b4e8-4f29-851a-5ed0cd8ec9a4