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- Published by:
- University of Edinburgh
- Last updated:
- 11 February 2016
This dry year precipitation dataset complements 13 other datasets as part of a study that compared ancient settlement patterns with modern environmental conditions in the Jazira region of...
- 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:
- 24 December 2025
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:
- Environmental Information Data Centre
- Last updated:
- 19 November 2025
[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...
- Published by:
- Greater London Authority
- Last updated:
- 23 December 2025
This spreadsheet summarises of the key travel patterns and trends relating to the TFL network and Airports around London.
List of tables included in the spreadsheet:
Aggregate travel volumes in...
- 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:
- 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:
- Marine Environmental Data & Information Network
- Last updated:
- 14 April 2025
The dataset contains outputs from Aim 1 in Bluemel et al. 2024 - Biodiversity
patterns under a shifting baseline: important areas for sensitive fish species
and ecosystem functioning to assist...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 19 June 2018
The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...
- Published by:
- Centre for Environmental Data Analysis
- Last updated:
- 17 July 2017
The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...
- Published by:
- British Geological Survey (BGS)
- Last updated:
- 17 December 2025
The data include the following: 1. Simulation input files (parameters used in free energy Lattice Boltzmann simulations). 2. Results from these simulations and the corresponding analysis, as...