(My organization)
Continents, countries, sea regions of the world.
Land Cover Map 1990 (vector, N. Ireland)
This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The vector data set is the core LCM data set from which the full range of other LCM1990 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/d6a3588b-23a8-4715-88e9-e21ab0060727
Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence
If you reuse this data, you should cite: Rowland, C.S., Marston, C.G., Morton, R.D., O'Neil, A.W. (2020). Land Cover Map 1990 (vector, N. Ireland). NERC Environmental Information Data Centre https://doi.org/10.5285/d6a3588b-23a8-4715-88e9-e21ab0060727
For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM1990 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007, LCM2015 and LCM1990 the framework is based on generalised OS Northern Ireland data. The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015 or LCM1990.
https://catalogue.ceda.ac.uk/uuid/be641b2f6b524b4a90e61bbb396d5b81 be641b2f6b524b4a90e61bbb396d5b81
Met Office LIDARNET Aberporth Jenoptik CHM15k Nimbus ceilometer cloud base and backscatter data
Cloud base and backscatter data from the Met Office's Jenoptik CHM15k Nimbus ceilometer located at Aberporth, mid-Wales. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.
These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected by the Met Office before processed through the Met Office's Hermes system. A copy of these data were then delivered by the Met Office to CEDA for archiving.
Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) Project: Seawater measurements from Southern Surveyor research vessel
Southern Ocean Atmospheric Photochemistry Experiment 2 (SOAPEX-2) is primarily an experiment to study atmospheric cleansing by free radicals in extremely clean and slightly perturbed tropospheric air and focuses on a field campaign carried out at Cape Grim, Tasmania in January-February 1999. The dataset contains concentrations of seawater alkyl nitrates and halocarbons. This dataset is public.
Public data: access to these data is available to both registered and non-registered users.
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data provided as is to the BADC during and after the SOAPEX campaign.
https://catalogue.ceh.ac.uk/id/f4db9cda-c25e-4ce8-b236-31e8bf44fcde 10.5285/f4db9cda-c25e-4ce8-b236-31e8bf44fcde
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) wave monitoring over saltmarsh and mudflat habitats
The dataset details derived wave parameters from bottom-mounted pressure monitoring installations across five UK salt marshes. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area. The sensors were deployed in transects oriented approximately shore-normal and straddling the vegetated-unvegetated margin. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/f4db9cda-c25e-4ce8-b236-31e8bf44fcde
If you reuse this data, you should cite: Möller, I., Evans, B.R., Spencer, T. (2016). Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) wave monitoring over saltmarsh and mudflat habitats. NERC Environmental Information Data Centre https://doi.org/10.5285/f4db9cda-c25e-4ce8-b236-31e8bf44fcde
This resource is made available under the terms of the Open Government Licence
At each site a transect of Druck PDCR1830 pressure transducers was established to include the transition between vegetated and unvegetated foreshore areas. For each of the Essex sites eight transducers were deployed, while in Morecambe twelve constituted a transect. Transducers were attached to a Campbell CR1000 datalogger programmed to record at 4Hz at the top of the tide. Pressure data were subsequently processed following the method of Möller et al. (1999) to produce the output parameters mean water depth (hPT), spectrally-derived total spectral energy (EPT), spectrally-derived significant wave height (HsPT) and spectrally-derived peak wave period (TpPT). Records were subsequently filtered to remove those coinciding with known problems with equipment and those deemed to be breaking based on the calculated wave height to water depth ratio.
https://catalogue.ceda.ac.uk/uuid/bac493ecc5f14b4d809f35f89eceb834 bac493ecc5f14b4d809f35f89eceb834
MYD35_L2 - MODIS/Aqua Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km
These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD35_L2 " The MODIS Cloud Mask product is a Level-2 product generated at 1-km and 250-m (at nadir) spatial resolutions. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. An indication of shadows affecting the scene is also provided. The 250-m cloud mask flags are based on visible channel data only. Radiometrically-accurate radiances are required, thus holes in the Cloud Mask will appear wherever the input radiances are incomplete or of poor quality assurance. There are two MODIS Cloud Mask data product files: MOD35_L2, containing data collected from the Terra platform; and MYD35_L2, containing data collected from the Aqua platform. The MODIS cloud mask algorithm employs a battery of spectral tests, which use methodology applied in the AVHRR Processing scheme Over cLoudy Land and Ocean (APOLLO), International Satellite Cloud Climatology Project (ISCCP), CLoud Advanced Very high resolution Radiometer (CLAVR), and the Support of Environmental Requirements for Cloud Analysis and Archive (SERCAA) algorithms to identify cloudy FOVs. From these, a clear-sky confidence level (high confident clear, probably clear, undecided, cloudy) is assigned to each FOV. For inconclusive results, spatial- and temporal-variability tests are applied. The spectral tests rely on radiance (temperature) thresholds in the infrared and reflectance thresholds in the visible and near-infrared. Thresholds vary with surface type, atmospheric conditions (moisture, aerosol, etc.), and viewing geometry. In addition to the MYD02 calibrated radiances, a 1-km land/water mask, DEM, ecosystem analysis, snow/ice cover map, NCEP analysis of surface temperature and wind speed, and an estimate of precipitable water are required as inputs. A determination of the presence of global cloudiness is essential to the MODIS mission for two reasons. First, clouds play a critical role in the radiative balance of the Earth and must be accurately described to assess climate and potential climate change. Second, the presence of cloudiness must be accurately determined to properly retrieve many atmospheric and surface parameters. For many of these retrieval algorithms even thin cirrus represents contamination. Cloud mask validation will be conducted using MODIS Airborne Simulator (MAS) data from several field campaigns, all-sky cameras, and comparison with NOAA operational instruments and possibly ASTER. For additional details see the MODIS Atmospheres web site page onCollection 6.1 Updates. " Shortname: MYD35_L2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-2 , Spatial Resolution: 250 m, 1 km , Temporal Resolution: 5 minute , ArchiveSets: 61 , Collection: MODIS Collection 6.1 - Level 1, Atmosphere, Land (ArchiveSet 61) , PGE Number: PGE03 , File Naming Convention: MYD35_L2.AYYYYDDD.HHMM.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition HHMM = Hour and Minute of acquisition CCC = Collection number YYYYDDDHHMMSS = Production Date and Time AYYYYDDD = Year and Day of Year of acquisition , Citation: Ackerman, S., et al., 2017. MODIS Atmosphere L2 Cloud Mask Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: http://dx.doi.org/10.5067/MODIS/MYD35_L2.061 , Keywords: Cloud Fraction, Climate Change, Atmospheric Correction
Under the following licence https://modaps.modaps.eosdis.nasa.gov/services/faq/LAADS_Data-Use_Citation_Policies.pdf, appropriate use of these data may fall under unclassified use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were downloaded from https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/ to support UK research groups, especially NCEO.
Post voyage analyses from Tasman and Coral Seas 2019 (NERC Grant NE/S01067X/1)
These data are derived from a voyage on Australia’s R/V Investigator, IN2019_v04, ‘Hotspot dynamics in the Coral Sea: connections between the Australian plate and the deep Earth’. The voyage surveyed the Tasmantid and Lord Howe Seamounts in the Tasman and Coral Seas, together with the Louisiade Plateau in the Coral Sea, sailing from Cairns on 7 Aug 2019 and arriving in Brisbane on 3 Sep 2019. The voyage summary is available at https://www.marine.csiro.au/data/reporting/get_file.cfm?eov_pub_id=1443. This directory includes datasets derived from ship samples and data as part of NERC grant NE/S01067X/1 (e.g., XRF and ICP-MS geochemistry data). Post voyage analyses by Australian collaborators are not included. More details are available in the README file.
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear.
The dataset has been formally approved by BGS for access by external clients under a BGS Digital Data Licence, issued via BGS's IPR Section. The dataset must not be provided to, or be accessible by, an external client until the IPR Section confirms that signed licence documentation is in place. Refer to the IPR Section (DigitalLE@bgs.ac.) if further advice is required.. Constraint applies until 2025-07-03
XRF and ICP-MS geochemistry data; full methods details are available in the README file.
EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from SMHI's Vaisala CL31 instrument deployed at Hoburg, Sweden
Daily concatenated files of ceilometer cloud base height and aerosol profile data from Swedish Meteorological and Hydrological Institute (SMHI)'s Vaisala CL31 deployed at Hoburg, Sweden. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-02679. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Under the following licence https://artefacts.ceda.ac.uk/licences/cuncgl, appropriate use of these data may fall under personal, academic and policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.
Data from the Photographic Camera, CASI-2, ATM AZ-16 and Optech LIDAR Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight MC04/21 over the Kameni and Santorini Islands, Greece
ARSF project MC04/21: A digital elevation model for the Kameni Islands. PI: D. Pyle. Site: Kameni Island, Santorini.
Data have been provided to NEODC via a number of routes: Most data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media. Data since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync. Data for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. Data from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge. Scanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. Some data ("user_provided") was sent to NEODC by ARSF data users.
UKCCSRC Call 2 Project Final Report: Novel Reductive Rejuvenation approaches for degraded amine solvents from PCC in power plants
Final Report for UKCCSRC Call 2 Project C2-189. Novel Reductive Rejuvenation approaches for degraded amine solvents from PCC in power plants.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
The data was obtained from using a Gas Chromatography-Mass Spectrometer (GC-MS). The image files were used directly without further processing except that some minor changes to the titles.
Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]
[THIS DATASET HAS BEEN WITHDRAWN]. Gridded daily meteorological variables over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model with daily disaggregation. The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set. This data set supersedes the previous version as temporal coverage has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved. Full details about this dataset can be found at https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293
The following acknowledgement and copyright notice (where applicable), shall, unless otherwise stated, be used on all copies of the Data, publications and reports, including but not limited to, use in presentations to any audience: "Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met] data licensed from UK Centre for Ecology & Hydrology. © Database Right/Copyright UK Centre for Ecology & Hydrology. All rights reserved. Contains material based on Met Éireann data © Met Éireann, Met Office and OS data © Crown copyright and database right 2017 and University of East Anglia Climatic Research Unit © CRU"
If you reuse this data, you should cite: Robinson, E.L., Blyth, E.M., Clark, D.B., Comyn-Platt, E., Rudd, A.C. (2020). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]. NERC Environmental Information Data Centre https://doi.org/10.5285/2ab15bf0-ad08-415c-ba64-831168be7293
This data set has been generated from a number of meteorological input data sets. The precipitation data were obtained by scaling the CEH-GEAR daily rainfall estimates to the units required for JULES input. Other variables were interpolated from coarser resolution MORECS, CRU TS and WATCH forcing data variables, taking into account topographic information. A full list of input data sources and a description of the methodology are available in the supporting documentation.
Met Office LIDARNET backscatter visualisation map
Daily plots of Met Office LIDARNET Aberporth Jenoptik CHM15k Nimbus ceilometer cloud base and backscatter data
LAADS DAAC DOI: 10.5067/MODIS/MYD35_L2.061
Observing Systems Capability Analysis and Review (OSCAR) Tool metadata page for site 0-20000-0-02679
EUMETNET activities web page detailing the range of activities undertaken by EUMETNET.
NERC EDS Environmental Information Data Centre
Centre for Environmental Data Analysis (CEDA)
NCAS British Atmospheric Data Centre (NCAS BADC)
NERC EDS Centre for Environmental Data Analysis
National Aeronautics and Space Administration (NASA)
Swedish Meteorological and Hydrological Institute (SMHI)
NERC Earth Observation Data Centre (NEODC)
Airborne Research and Survey Facility (ARSF)
Data from the Photographic Camera, CASI-2 and ATM AZ-16 Instruments on-board the Dornier Do228-101 D-CALM Aircraft during Flight 00/12 over the Nogalte and Torrealvilla Areas, Spain
The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.
Raw experimental data from experiments measuring crystal structure and acoustic velocities of calcium silicate perovskite (NERC grant NE/P017657/1)
High-pressure multi anvil synchrotron data from ID06-LVP at the ESRF. Contains diffraction, radiography, MHz ultrasonic and calibration data from experiments performed to ~ 13 GPa on CaSiO3 perovskite and Ca[Si60Ti40]O3 perovskite samples.
The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.
High pressure multi anvil experiments were combined with MHz frequency pulse echo ultrasonics and monochromatic diffraction at ID06-LVP to simultaneously measure the crystallographic evolution and acoustic velocities of calcium perovskite samples at conditions up to 15 GPa and 1600 K.
HadCRUT4: gridded dataset of global historical surface temperature anomalies, version 4.5.0.0
This is the HadCRUT.4.5.0.0 version of the HadCRUT4 data. Data are available for each month since January 1850, on a 5 degree grid. The gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record. The data consist of 100 ensemble members and the ensemble median, each are available as a separate file where the fourth component of the filename denotes the ensemble member or median. In addition, the variance information is provided under the name uncorrelated. Full error covariance data are available from the Met Office (see the link to the HadCRUT4 homepage in Docs) To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. References: When using the dataset in a paper you must cite the following paper (see Docs for link to the publication) and this dataset (using the "citable as" reference) : Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187
Under the following licence http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/, appropriate use of these data may fall under personal, academic and policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
HadCRUT4 is a surface air temperature product that is a blend of the CRUTEM4 and HadSST3, it is produced by the Met Office Hadley Centre in collaboration with the Climatic Research Unit of the University of East Anglia. It is passed to the Centre for Environmental Data Analysis (CEDA) for archival and distribution.
Collapsible deposits dataset (5km Hex-Grid) version 8
The 5km Hex GS Collapsible Deposits dataset shows a generalised view of the GeoSure Collapsible Deposits v8 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The reports can help inform planning decisions and indicate causes of subsidence. The Collapsible Ground dataset provides an assessment of the potential for a geological deposit to collapse (to subside rapidly) as a consequence of a metastable microfabric in loessic material. Such metastable material is prone to collapse when it is loaded (as by construction of a building, for example) and then saturated by water (as by rising groundwater, for example). Collapse may cause damage to overlying property. The methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the origin and behaviour of the formations so defined. It provides complete coverage of Great Britain, subject to revision in line with changes in DiGMapGB lithology codes and methodological improvements.
Based on the GeoSure Collapsible Deposits Methodology as defined in BGS project documentation GeoSure V8. User Guide V8 available from BGS Enquiries.
Measurements of uranium diffusion and reaction in soil (NERC grant NE/L000288/1)
Experimental results used to parameterise and a test a mathematical model of uranium diffusion and reaction in soil. The exeperiments and model are described in Darmovzalova J., Boghi A., Otten W., Eades, L., Roose T. & Kirk G.J.D. (2019) Uranium diffusion and time-dependent adsorption-desorption in soil: a model and experimental testing of the model. Eur. J. Soil Sci., doi: 10.1111/ejss.12814. The research was funded by NERC, Radioactive Waste Management Ltd and the Environment Agency through the Radioactivity and the Environment (RATE) programme (Grant Ref NE/L000288/1, Long-lived Radionuclides in the Surface Environment (LO-RISE)).
See Darmovzalova et al (2019) Eur. J. Soil Sci., doi: 10.1111/ejss.12814.
British Geological Survey (BGS) Geophysical Survey 1974/BR/2: Pockmark Study, South Forties (09/07/1974 to 26/07/1974)
Report: Dobinson, A. 1975. Survey Data Report South Forties Area July 1974. Continental Shelf Unit II Survey 74/BR/02. MV Briarthorn.(IGS Report No 62, 98, WB/MI/74/12 & 75/3 & UC97). This survey was carried out in conjunction with sampling survey 1974/2.
Geophysical equipment types used included: Echo Sounder, Gravimeter, Magnetometer, Pinger, Sidescan Sonar and Sparker. The survey was undertaken by British Geological Survey. For more detailed information on the acquisition equipment and data collection techniques, operational standards, data processing methods and quality control procedures used on this survey see the Report of Survey/Cruise Report and associated documentation where available. The information available may vary depending on the age of the survey. Data are checked and loaded to the BGS Coastal and Marine data management system following BGS marine data management procedures.
Citation Information - Digital Object Identifier (DOI)