Description: The BGS Offshore Bedrock 250k dataset contains vector data which reflects the offshore bedrock geological of the UK and some of its adjacent waters (the UK Exclusive Economic Zone, EEZ) at 1:250,000 scale. This comprehensive product provides a digital compilation of the paper maps published by BGS at the same scale, as well as, additional re-interpretations from regional geological studies. The composition, age and deformational history of the rocks underlying the seabed (bedrock) are important for a range of stakeholders, including marine spatial planners and offshore developers. The dataset is arranged in two GIS layers: Bedrock Lithostratigraphy and Bedrock Structural Geology. The polygons within the Bedrock Lithostratigraphy layer show the spatial distribution of the principal lithostratigraphical units (formations and groups). The lines within the Structural Geology layer show the location and extent of known structural features such as faults and folds. This dataset was compiled from remotely sensed geophysical data (e.g. airgun, boomer, sparker, sidescan sonar, magnetometer, gravity meter) and ground-truthing data obtained from commercial wells and BGS shallow boreholes. The variations in data density are reflected in the detail of the mapping. The bedrock divisions on the map represent the principal lithostratigraphical units (e.g. formations and groups) in the UK, ranging in age from Proterozoic to Cenozoic, as defined in the BGS Lexicon of Named Rock Units. An additional layer delineating the principal structural features, such as faults and folds observed at the rockhead is also included. This dataset was produced for use at 1:250 000 scale. The data should not be relied on for local or site-specific geology. http://data.bgs.ac.uk/id/dataHolding/13605830
Copyright Text: 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.
Description: The Marine Hard Substrate dataset maps areas of rock or hard substrate outcropping or within 0.5m of the sea-bed. For the purpose of this dataset, Hard Substrate was defined as the presence of either rock or clasts >64 mm (boulders or cobbles) within 0.5 m of the seabed. This definition includes sediment veneer overlying hard substrate in some areas. This is used in order to include both infaunal and epifaunal communities and is considered beneficial for habitat mappers. The interpretation was based on a variety of data sourced from within the British Geological Survey and externally. Data consulted includes archive sample and seismic records, side scan sonar, multibeam bathymetry and Olex datasets. The distribution of hard substrate at the seabed, or within 0.5 m of the seabed, is important in dictating the benthic assemblages found in certain areas. Therefore, an understanding of the distribution of these substrates is of primary importance in marine planning and designation of Marine Conservation Zones (MCZs) under the Marine and Coastal Access Act, 2009. In addition, a number of other users will value these data, including marine renewable companies, aggregate companies, the fishing and oil and gas industries. In order to address this issue it was necessary to update British Geological Survey sea-bed mapping to delineate areas where rock, boulders or cobbles are present at, or within 0.5 m of the sea-bed surface. A polygon shape file showing areas of rock or hard substrate at, or within 0.5m of the sea-bed has been developed. The dataset has been created as vector polygons and are available in a range of GIS formats, including ESRI shapefile (.shp) and OGC GeoPackage (.gpkg). More specialised formats may be available but may incur additional processing costs. This dataset has been developed in collaboration with external partners and the methodology used is detailed in the report MB0103 for DEFRA: Developing the necessary data layers for Marine Conservation Zone selection - Distribution of rock/hard substrate on the UK Continental Shelf MB0103 (Gafeira et al., 2010). This dataset was produced for use at 1:250 000 scale. However, in many cases, the detail of the mapping is far greater than expected for this scale as hard substrate delineation was done based on the best available data. This data should not be relied on for local or site-specific geology. Contact BGS Digital Data (digitaldata@bgs.ac.uk) for more information on this dataset. http://data.bgs.ac.uk/id/dataHolding/13605550
Copyright Text: 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.
Name: Offshore Bedrock 250k: Lithostratigraphical units
Display Field: LEX
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: The BGS Offshore Bedrock 250k dataset contains vector data which reflects the offshore bedrock geological of the UK and some of its adjacent waters (the UK Exclusive Economic Zone, EEZ) at 1:250,000 scale. This comprehensive product provides a digital compilation of the paper maps published by BGS at the same scale, as well as, additional re-interpretations from regional geological studies. The composition, age and deformational history of the rocks underlying the seabed (bedrock) are important for a range of stakeholders, including marine spatial planners and offshore developers. The dataset is arranged in two GIS layers: Bedrock Lithostratigraphy and Bedrock Structural Geology. The polygons within the Bedrock Lithostratigraphy layer show the spatial distribution of the principal lithostratigraphical units (formations and groups). The lines within the Structural Geology layer show the location and extent of known structural features such as faults and folds. This dataset was compiled from remotely sensed geophysical data (e.g. airgun, boomer, sparker, sidescan sonar, magnetometer, gravity meter) and ground-truthing data obtained from commercial wells and BGS shallow boreholes. The variations in data density are reflected in the detail of the mapping. The bedrock divisions on the map represent the principal lithostratigraphical units (e.g. formations and groups) in the UK, ranging in age from Proterozoic to Cenozoic, as defined in the BGS Lexicon of Named Rock Units. An additional layer delineating the principal structural features, such as faults and folds observed at the rockhead is also included. This dataset was produced for use at 1:250 000 scale. The data should not be relied on for local or site-specific geology. http://data.bgs.ac.uk/id/dataHolding/13605830
Copyright Text: 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.
Description: The BGS Seabed Sediments 250k dataset is vector data which reflects the distribution of seabed substrate types of the UK and some of its adjacent waters (the UK Exclusive Economic Zone, EEZ) at 1:250,000 scale. This comprehensive dataset provides a digital compilation of the paper maps published by BGS at the same scale, as well as additional re-interpretations from regional geological studies. The seabed is commonly covered by sediments that form a veneer or thicker superficial layer of unconsolidated material above the bedrock. These sediments are classified based on their grain size, which reflects the environment in which they were deposited. This information is important to a range of stakeholders, including marine habitat mappers, marine spatial planners and offshore industries (in particular, the dredging and aggregate industries). This dataset was primarily based on seabed grab samples of the top 0.1 m, combined with cores, dredge samples and sidescan sonar acquired during mapping surveys since the early 1970s. Variations in data density are reflected in the detail of the mapping. The sediment divisions on the map are primarily based on particle size analysis (PSA) of both surface sediment samples and the uppermost sediments taken from shallow cores. Sediments are classified according to the modified Folk triangle classification (Folk, 1954, Journal of Geology, Vol. 62, pp 344–359). The modified Folk diagram and classification used by BGS differs from that created by Folk (1954) in that the boundary between 'no gravel' and 'slightly gravelly' is changed from trace (0.05%) to 1% weight of particles coarser than -1Ø (2mm), shown below. The boundaries between sediment classifications or types are delineated using sample station particle size analyses and descriptions, seafloor topography derived from shallow geophysical and, where available, multibeam bathymetry, backscatter and side-scan sonar profiles. This dataset was produced for use at 1:250 000 scale. These data should not be relied on for local or site-specific geology. http://data.bgs.ac.uk/id/dataHolding/13605549
Copyright Text: 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.
Description: The Quaternary deposits summary lithologies dataset is a digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200 m, which groups the deposits into classes based on similar engineering geology characteristics. The map is derived from (unpublished) BGS 1:1,000,000 scale Quaternary digital geological mapping, so is effective at that scale. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. The divisions on the map combine the Quaternary deposits into 7 categories of similar strength and lithological variability, each with a ‘Category’ title that summarises their main lithological character: diamict; firm to hard interbedded (layered); firm to hard mud; sand and gravel; soft interbedded; soft mud; undifferentiated. These categories can be used as a basis for assessing, in conjunction with a range of other geological factors, the geological constraints on engineering structures at or close to the seabed. The data are held by the BGS as an ESRI ArcGIS Shapefile. http://data.bgs.ac.uk/id/dataHolding/13606630
Copyright Text: 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.
Description: The Quaternary deposits thickness dataset is a digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200m, which shows the thickness of the deposits over bedrock in three categories: <5 m, 5 - 50 m, and >50 m Quaternary cover. These depth bands were picked because they represent the horizons that have impact on offshore infrastructure deployment. The map is derived from (unpublished) BGS 1:1000000 scale Quaternary digital geological mapping. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. The data are held by the BGS as an ESRI Shapefile. http://data.bgs.ac.uk/id/dataHolding/13606631
Copyright Text: 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.
Description: The Bedrock summary lithologies dataset is digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200 m, which groups the bedrock lithologies (rock types) into classes based on similar engineering geology characteristics. The map is derived from the 1:250 000 scale digital bedrock map of the UKCS (BGS Offshore Bedrock 250k), which is available separately from BGS. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. The divisions on the map combine the bedrock formations into 8 classes (with several subdivisions) of similar strength and lithological variability, each with a 'Category' title that summarises their main lithological character: Class1 – Igneous; Class 2 - Tertiary Sandstone and Limestone; Class 2.5 - Tertiary Sandstone and Limestone Interbedded; Class 3 - Tertiary Mudstone; Class 4 - Mesozoic Sandstone and Limestone; Class 4.5 - Mesozoic Sandstone and Limestone Interbedded; Class 5 - Mesozoic Mudstone; Class 6 – Chalk; Class 7 – Metamorphic; Class 8 - Palaeozoic Sedimentary. The data are held by the BGS as an ESRI Shapefile. http://data.bgs.ac.uk/id/dataHolding/13606629
Copyright Text: 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.
Description: 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 (Folk sediment class; vector), and three percentage-sediment maps (rasters) giving the proportions of gravel, sand, and mud. The dataset is generated using a machine learning algorithm known as a Distributional Random Forest (DRF). The model uses input data to predictively classify what seabed sediments are most likely to be the dominant sediment present. It does so, using more than 38,000 seabed sediment samples (collated from various sources) with measurements of the proportion of mud, sand and gravel from locations across the study area. The predictions are constrained against covariate variables that are known to influence which sediment is most likely to occur. These include bathymetry data morphometric derivatives (at multiple spatial scales), as well as hydrodynamic data layers (currents and tidal). The dataset was reviewed via a qualitative assessment (QA) protocol by subject-area experts (e.g. contrasting with previous mapping, and local examples of higher-resolution data and mapping), and following methodological improvements based on this feedback, updated SBS map products were prepared. The dataset is presented at a national-scale, with a spatial resolution of approximately 110m, covering the UKCS (slightly modified UKCS area based on data availability). http://data.bgs.ac.uk/id/dataHolding/13608434
Copyright Text: 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.
Description: This Offshore Quaternary dataset shows the distribution of interpreted lithostratigraphic units within the shallow subsurface. Large areas of the UK offshore are covered, at a scale of 1:250 000. This dataset was originally published between 1984 and 1992, as a series of paper map sheets. This is the first time that the Quaternary Geology 1:250 000 maps have been made available in digital format. Information from the original map sheets have been included in the attribute fields in this dataset, including a lithological description for each formation. Additional data has also been provided where it was deemed to add value. The BGS lexicon code for each formation has been supplied, so users can research any formation of interest. The maximum and minimum age of each formation, in a variety of formats, has also been added. This key information was sourced from Stoker et al (2011). Our understanding of the Quaternary lithostratigraphy is evolving due to the increased data collection associated with renewable energy development. However, no formal update of the regional lithostratigraphic framework has been completed at time of release. This dataset therefore reflects the understanding at the time of original publication. Inaccuracies in the dataset may have since been resolved and the level of uncertainty regarding the age or character of a formation may have changed. Nonetheless, this dataset contains valuable information, and this digital version will help facilitate access to this for users. http://data.bgs.ac.uk/id/dataHolding/13608590
Copyright Text: 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.
Description: 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 (Folk sediment class; vector), and three percentage-sediment maps (rasters) giving the proportions of gravel, sand, and mud. The dataset is generated using a machine learning algorithm known as a Distributional Random Forest (DRF). The model uses input data to predictively classify what seabed sediments are most likely to be the dominant sediment present. It does so, using more than 38,000 seabed sediment samples (collated from various sources) with measurements of the proportion of mud, sand and gravel from locations across the study area. The predictions are constrained against covariate variables that are known to influence which sediment is most likely to occur. These include bathymetry data morphometric derivatives (at multiple spatial scales), as well as hydrodynamic data layers (currents and tidal). The dataset was reviewed via a qualitative assessment (QA) protocol by subject-area experts (e.g. contrasting with previous mapping, and local examples of higher-resolution data and mapping), and following methodological improvements based on this feedback, updated SBS map products were prepared. The dataset is presented at a national-scale, with a spatial resolution of approximately 110m, covering the UKCS (slightly modified UKCS area based on data availability). http://data.bgs.ac.uk/id/dataHolding/13608434
Copyright Text: 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.
Description: 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 (Folk sediment class; vector), and three percentage-sediment maps (rasters) giving the proportions of gravel, sand, and mud. The dataset is generated using a machine learning algorithm known as a Distributional Random Forest (DRF). The model uses input data to predictively classify what seabed sediments are most likely to be the dominant sediment present. It does so, using more than 38,000 seabed sediment samples (collated from various sources) with measurements of the proportion of mud, sand and gravel from locations across the study area. The predictions are constrained against covariate variables that are known to influence which sediment is most likely to occur. These include bathymetry data morphometric derivatives (at multiple spatial scales), as well as hydrodynamic data layers (currents and tidal). The dataset was reviewed via a qualitative assessment (QA) protocol by subject-area experts (e.g. contrasting with previous mapping, and local examples of higher-resolution data and mapping), and following methodological improvements based on this feedback, updated SBS map products were prepared. The dataset is presented at a national-scale, with a spatial resolution of approximately 110m, covering the UKCS (slightly modified UKCS area based on data availability). http://data.bgs.ac.uk/id/dataHolding/13608434
Copyright Text: 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.
Description: 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 (Folk sediment class; vector), and three percentage-sediment maps (rasters) giving the proportions of gravel, sand, and mud. The dataset is generated using a machine learning algorithm known as a Distributional Random Forest (DRF). The model uses input data to predictively classify what seabed sediments are most likely to be the dominant sediment present. It does so, using more than 38,000 seabed sediment samples (collated from various sources) with measurements of the proportion of mud, sand and gravel from locations across the study area. The predictions are constrained against covariate variables that are known to influence which sediment is most likely to occur. These include bathymetry data morphometric derivatives (at multiple spatial scales), as well as hydrodynamic data layers (currents and tidal). The dataset was reviewed via a qualitative assessment (QA) protocol by subject-area experts (e.g. contrasting with previous mapping, and local examples of higher-resolution data and mapping), and following methodological improvements based on this feedback, updated SBS map products were prepared. The dataset is presented at a national-scale, with a spatial resolution of approximately 110m, covering the UKCS (slightly modified UKCS area based on data availability). http://data.bgs.ac.uk/id/dataHolding/13608434
Copyright Text: 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.