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- Published by:
- East Sussex County Council
- Last updated:
- 05 January 2021
Open read-only access to Google Analytics reports for some East Sussex County Council websites.
We are happy for this data to be used under the Open Government Licence, but clearly Google's Terms...
- Published by:
- Department for Business, Energy and Industrial Strategy
- Last updated:
- 08 July 2022
A list of the main analytical models deployed by BEIS to support policies as of 30 March 2022.
Recommendation 4 of the Review of quality assurance of government models (Macpherson Review) asked...
- Published by:
- Cambridgeshire Insight
- Last updated:
- 02 April 2025
This dataset will display quarterly Google analytics figures for both Cambridgeshire Insight and Cambridgeshire Insight Open Data Portal. It includes total users, total sessions and total page...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 14 January 2026
The BGS Predictive Seabed Sediments UK v1 dataset includes digital maps of seabed sediment (SBS) composition across the UK Continental Shelf (UKCS). The dataset includes one classified SBS map...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Spatial predictions of substrate composition for the UK shelf and North Sea.
Compositional fractions of mud, sand and gravel were modelled for an area of
the UK and North Sea using a statistical...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 21 September 2024
Spatial predictions of substrate composition for the UK shelf and North Sea.
Compositional fractions of mud, sand and gravel were modelled for an area of
the UK and North Sea using a statistical...
- Published by:
- Cambridgeshire Insight
- Last updated:
- 02 April 2025
This dataset contains both the national prediction score for the prevalence of Loneliness across all LSOA's in England and Wales and also has this broken down to just Cambridgeshire and...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 26 November 2025
Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic...
- Published by:
- Cabinet Office
- Last updated:
- 12 December 2013
Analysis of departmental procurement spend extracted from departmental accounts payable data
- Published by:
- City of York Council
- Last updated:
- 08 July 2025
Total population aged 65 and over predicted to have dementia
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic...
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 September 2024
Spatial predictions of the fractions of mud, sand and gravel as continuous
response variables for the north-west European continental shelf. Mud, sand
and gravel fractions range from 0-1 (i.e....
- Published by:
- Marine Environmental Data & Information Network
- Last updated:
- 10 July 2024
Spatial predictions of the fractions of mud, sand and gravel as continuous
response variables for the north-west European continental shelf. Mud, sand
and gravel fractions range from 0-1 (i.e....
- Published by:
- Scottish Government SpatialData.gov.scot
- Last updated:
- 19 June 2024
These layers are the outputs of research which developed a national river temperature model for Scotland capable of predicting both daily maximum river temperature and sensitivity to climate...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 14 January 2026
Grant: SCAPE (UKCCSRC Call 2). This is a Matlab code that calculates the change in internal concentration of CO2 in a building as a cloud of CO2 engulfs the building. The CO2 is assumed to enter...
- Published by:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
This dataset contains information about the development of a paper analytical device for the detection of the microcystin toxin. Water samples were collected weekly from Rostherne Mere and Tatton...
- Published by:
- Joint Nature Conservation Committee
- Last updated:
- 01 July 2019
Prediction of the presence of rock at outcrop or subcrop at the seabed across the UK shelf area. This shapefile was produced through a semi-automated approach, using a Random Forest model combined...