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monitoring

Marine Scotland Science (MSS) undertakes a wide range of monitoring covering many aspects of the Scottish marine ecosystem.

Monitoring is undertaken in Scottish Inshore Waters, using networks of volunteers and automatic recording equipment, as well as in Scottish Offshore Waters, using the MSS research vessels MRV Alba na Mara and MRV Scotia.

Marine Scotland Science also participates national monitoring programmes, such as:

  • UK Marine Monitoring and Assessment Strategy (UKMMAS)
  • UK Marine Environmental Change Network (MECN)
  • UK Marine Environmental Data and Information Network (MEDIN)

This group provides published data from monitoring these activities. For many activities, there are national or international standards for how the monitoring is undertaken.

License

UK Open Government Licence (OGL)

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Girnock Burn Littlemill Daily Summary River Temperature Timeseries (mean, maximum, minimum)

The Girnock Burn is an intensively monitored sub-catchment of the Aberdeenshire River Dee in north-east Scotland covering an area of ca. 31km2. The Scottish Government Marine Directorate, Freshwater Fisheries Laboratory (and its predecessors) have monitored the catchment to assess the status and population dynamics of Atlantic salmon since 1966.

Girnock Burn Littlemill is a long-term river temperature monitoring site in the catchment. Analyses, of temporal trends in river temperatures and the effects of logger biases are reported in Jackson et al., (2025). The datasets provided here are bias corrected daily maximum, mean and minimum river temperature, derived from automatically logged monitoring data. Prior to 2010 the data have been corrected for generic equipment biases (but not additional biases from individual units). More recent data (post 2010) are calibrated and corrected individual instrument biases.

Citation: Jackson F.L., Fryer R.J, Stirling D., Malcolm I.A. (2025) Girnock Burn Littlemill Daily Summary River Temperature Timeseries (mean, maximum, minimum). DOI: 10.7489/12504

These data also underpin the following publication: FL Jackson, RJ Fryer, D Stirling, IA Malcolm (2025) The Influence of Equipment Bias on Reported Temperature Trends: Implications for River Temperature Monitoring Networks. River Research and Applications.

doi: 
https://doi.org/10.7489/12504-1
Citation: 
Jackson F.L., Fryer R.J, Stirling D., Malcolm I.A. (2025) Girnock Burn Littlemill Daily Summary River Temperature Timeseries (mean, maximum, minimum). DOI: 10.7489/12504-1

Data and Resources

FieldValue
Publisher
Modified
2025-07-01
Release Date
2025-07-01
Identifier
7dd6604b-0913-4f32-bfb6-7c72af769082
License
UK Open Government Licence (OGL)
Public Access Level
Public