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Predictions of river temperature and sensitivity to climate change in Scotland

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...

Bus stops and schedules

Bus and Metrolink stop and time data for all services within the Greater Manchester boundary. Known technically as "ATCO-CIF".

DIU Non Operational Schedule

Shows details of all non-operational deaths – held on excel spreadsheet.

Scheduled Monuments - Craven District Council

Archaeological sites in England considered to be of national importance, with the limit of each site recorded by one or more polygons. UK dataset managed by Historic England.

Microbiological Official Control Sampling Schedule

FSA Northern Ireland Official Control Shellfish Sampling Dates for Microbiology

Biotoxin Official Control Sampling Schedule

FSA Northern Ireland Official Control Shellfish Sampling Dates for Biotoxins.

Prediction of outcrops or subcrops of rock in UK shelf seabed (public)

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...

% of non-frequent scheduled bus services (fewer than 6 buses per hour) running on time (DfT measure - BUS0902) (LI 22a)

% of non-frequent scheduled bus services (fewer than 6 buses per hour) running on time (DfT measure - BUS0902) (LI 22a) *This indicator has been discontinued

Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

Spatial prediction of the sediment accumulation rate, provided as a .geotif file (as an average linear rate in cm yr-1 since 1986) for the Baltic Sea created using a machine learning approach....

Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

Spatial prediction of the sediment accumulation rate, provided as a .geotif file (as an average linear rate in cm yr-1 since 1986) for the Baltic Sea created using a machine learning approach....

Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution

This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil;...

Derby City Council Scheduled Ancient Monuments

Shows information from English heritage about the ancient monuments in Derby which have been given legal protection, shown as polygons.

Phytoplankton Sampling Schedule for Northern Ireland

Official control monitoring data for toxin producing algae found in water samples within classified harvesting areas within Northern Ireland

Predicted outcomes from land use change scenarios in upland Wales catchments

A spatial approach was developed to interpret qualitatively expressed scenarios, and predict the probability and amount of change for 10 land-cover types across 127 sub-catchments in upland Wales....

Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines

[This dataset is embargoed until February 2, 2026]. For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models...

Camden Street and Open Space Cleansing Schedule

This dataset contains a list of locations and what day of the week they are cleaned. A 1 indicates cleansing on that day, not the frequency of cleansing; a 2 or more indicates frequency.

Seahorse species predicted habitat distributions and associated environmental data layers covering the shelf seas surrounding the UK

This dataset contains predicted seahorse habitat distributions for two species (*Hippocampus hippocampus *and *H. guttulatus*) and the genus combined (Hippocampus hippocampus MAXENT.asc,...

Köppen-Geiger climate classification prediction maps for the UK at 1 km resolution, 1901–2080

The data deposited here underlie an assessment of the exposure of UK habitats to climate change, and a linked assessment of how well current UK plant monitoring schemes cover these exposure...

Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans

The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a...

RAPID Improving our Ability to Predict Rapid Changes in the El Nino Southern Oscillation Climatic Phenomenon: HADCM3 model output

"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change...