(My organization)
Continents, countries, sea regions of the world.
Annotated Scottish 1 inch scale maps with fossil locations and geology
Annotated Scottish 1 inch scale maps. Printed topography with hand annotated fossil locations and geology with hand drawn cross sections, colour-wash with index and observations. Considered working material towards published geological maps.
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.
There are no restrictions on the use that may be made of the dataset, although an appropriate copyright acknowledgement must be made when any part of the dataset is reproduced. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner of any third party data / information contained in the dataset to make the dataset freely available without any use constraints - inclusion of any third party data / information will affect the copyright acknowledgement that needs to be made.
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.
Manuscript hard copy at 1:63 360 scale sheets issued to Survey Rock Collectors
Literature review of knowledge management across the environment-policy interface in China
Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus . Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China. The data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme. Full details about this dataset can be found at https://doi.org/10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73
If you reuse this data, you should cite: Zheng, Y., Naylor, L.A., Waldron, S., Oliver, D.M. (2018). Literature review of knowledge management across the environment-policy interface in China. NERC Environmental Information Data Centre https://doi.org/10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73
This resource is made available under the terms of the Open Government Licence
A reverse search of the retrained articles was conducted to search the reference list of the retained studies, but none included any of the keywords in our criteria. Finally, the retrieved articles were read and analysed to determine which fields of environmental management had published on their KE practice in China by December 2017.
UKCP18 Probabilistic Climate Projections
Probabalistic climate projections for the UK from 1961-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available on a 25km OSGB grid.
All data within this dataset collection are available to any registered CEDA user.
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.
Please see data lineage statements for each dataset within this collection for data lineage details.
Magnetotelluric data from before, during and after the September 2017 magnetic storm at 7 sites in Scotland (NERC Grant NE/P016782/1)
Magnetotelluric (MT) time series including the September 2017 magnetic storm at 7 sites in the Scottish Highlands collected by Fiona Simpson (University of Southampton) and Karsten Bahr (University of Göttingen) using Göttingen RAP dataloggers, Magson fluxgate magnetometers and Filloux-type electrodes. Data acquisition methodology is described in F. Simpson and K. Bahr, 2005. Practical Magnetotellurics, Cambridge University Press, London pp. 254, 2005, ISBN: 9781108462556, DOI: 10.1017/CBO9780511614095 This dataset is described in: F. Simpson and K. Bahr, 2020a. Nowcasting and validating Earth’s electric field response to extreme space weather events using magnetotelluric data: application to the September 2017 geomagnetic storm and comparison to observed and modelled fields in Scotland, Space Weather, accepted, doi pending. F. Simpson and K. Bahr, 2020b. Estimating the electric field response to the Halloween 2003 and September 2017 magnetic storms across Scotland using observed geomagnetic fields, magnetotelluric impedances and perturbation tensors, Journal of Space Weather and Space Climate, accepted, doi pending.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
As described in: F. Simpson and K. Bahr, 2005, Practical Magnetotellurics, Cambridge University Press, London, pp. 254, DOI: 10.1017/CBO9780511614095.
2011, Talisman Sinopec Energy (UK) Ltd, Auk South, Platform Survey, DECC Reference Number 2510
An oil and gas industry site survey for a platform acquired under licence P116 in June 2011. The block number traversed was 30/16n.
The metadata is freely available for general disclosure. The actual survey data is restricted.
This dataset was collected by Gardline Geosurvey Ltd on behalf of Talisman Energy (UK) Ltd and reported by Senergy through the PON 14 regulation. Data was collected using single beam echo sounder, multibeam echo sounder, side scan sonar, sub bottom profiler, high resolution seismic and ultra-high resolution seismic.
2011, GDF Suez, Cygnus, Jack-Up Rig, DECC Reference Number 2398
An oil and gas industry site survey for a jack-up rig and platform acquired under licence P1055 between March and April 2011. The block numbers traversed were 44/12 and 44/11.
This dataset was collected by Gardline Geosurvey Ltd on behalf of GDF Suez and reported by Senergy through the PON 14 regulation. Data was collected using single beam echo sounder, multibeam echo sounder, side scan sonar, sub bottom profiler, ultra-high resolution seismic, grab samples, seabed photography, seabed video, vibrocores and cone penetrometer.
Maritime and Coastguard Agency (MCA) Bathymetric Survey HI1475, Dungeness to Hastings, (15/05/2015 to 09/10/2015)
Samples and associated geological data are held at the British Geological Survey for Maritime Coastguard Agency (MCA), Civil Hydrography Programme (CHP), Bathymetric Survey HI1475; Dungeness to Hastings, Area in SqKm: 441, (15/05/2015 to 09/10/2015), Standard: IHO S44ed5 Order 1a. Contract: Shallow. FY 2015/16. Contractor: Gardline.
Sample equipment types used included: Grab. Gardline was contracted to undertake the survey on behalf of Maritime and Coastguard Agency. 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.
2002, GDF Suez, Anglia Field Development and Anglia North West, Site Survey, BGS Reference Number GB02SS0001
An oil and gas industry site survey (field development, site clearance and shallow gas appraisal) acquired between August and September 2002. The block number traversed was 48/18.
This dataset was collected by Gardline Geosurvey Ltd on behalf of GDF Suez. Information about the survey was provided to the British Geological Survey in a legacy site survey report. Data was collected using hull-mounted pinger, high resolution seismic, multibeam echo sounder, sub bottom profiler, single beam echo sounder, side scan sonar.
https://catalogue.ceda.ac.uk/uuid/844fa23a49014a60bdcd6aaaf0cf333f 844fa23a49014a60bdcd6aaaf0cf333f
FAAM B555 SeptEx and CONSTRAIN flight, number 13: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 13 for NCAS general FAAM flying (SeptEx, Winter 2010) and CONSTRAIN - Cold Cloud Microphysical Parameterisation Studies projects.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.
Magnetic time series for Differential Magnetometer site East Kilbride (EAS) (NERC Grant NE/P017231/1)
Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 "Space Weather Impact on Ground-based Systems (SWIGS)". These data consist of measurements of the Earth’s natural magnetic field at the remote site (EASR) and the natural magnetic field plus the field created by GIC at the underline site (EASU). The database will include .xyz files with the DMM data and one document with metadata. See Hübert, J., Beggan, C. D., Richardson, G. S., Martyn, T., & Thomson, A. W. P. (2020). Differential magnetometer measurements of geomagnetically induced currents in a complex high voltage network. Space Weather, 18, e2019SW002421. doi: 10.1029/2019SW002421 for further details.
The Differential Magnetometer Method was used to collect the data using bespoke BGS build systems, one placed remotely (EASR) and one placed under the high voltage power line (EASU). See Hübert et al. (2020) for further details.
UKCP18 Guidance on data, access and formats
UKCP18 Guidance - caveats and limitations
Citation Information - Digital Object Identifier (DOI)
Flight summary file for FAAM BAE-146 flight B555
Flight track for FAAM BAE-146 flight B555
NERC EDS Environmental Information Data Centre
Centre for Environmental Data Analysis (CEDA)
NCAS British Atmospheric Data Centre (NCAS BADC)
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)
Reflectance Transformation Image of Charniodiscus concentricus, an Ediacaran fossil from Charnwood Forest, Leicestershire, UK
Reflectance transformation image of a cast (BGS fossil reference number GSM106161) of the holotype of Charniodiscus concentricus. The original fossil is the property of the Geology Department, University of Leicester, and the fossil is on display at New Walk Museum, Leicester
High resolution digital images were obtained of a cast of the specimen. These were then processed in software to create the reflectance transformation image.
Mineral-microbe interaction role in concentration and fractionation of rare earth elements (MM-FREE) (NERC Grant NE/L002361/1)
The data are related to the NERC's Security of Supply of Mineral Resources Catalyst Grant NE/L002361/1: MM-FREE - Mineral-Microbe interaction role in concentration and Fractionation of Rare Earth Elements and consist of: 1. document on the research priorities from an industry/stakeholders viewpoint to devise a strategy for building biomining into a real opportunity for mineral extraction of rare earth elements. 2. poster reporting literature review on "Using microbes to recover rare earths with low environmental impact"
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.
Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. 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 access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
Data 1: the document was produced in order to summarise the findings of the workshop hold at the British Geological Survey, Nottingham (UK), 21st –22nd November 2013, to discuss the research priorities from an industry/stakeholders viewpoint to devise a strategy for building biomining into a real opportunity for mineral extraction of rare earth elements. Data 2: the document compiled by the project partners reports the main findings of the project in form of a poster that was presented at conferences.
Data from automatic water monitoring buoy from Bassenthwaite Lake, 2012 to 2015
This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Bassenthwaite Lake, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/b21e5542-95d3-454e-a2dd-9e6c1966f982
If you reuse this data, you should cite: Jones, I.D., Feuchtmayr, H., Maberly, S.C. (2017). Data from automatic water monitoring buoy from Bassenthwaite Lake, 2012 to 2015 . NERC Environmental Information Data Centre https://doi.org/10.5285/b21e5542-95d3-454e-a2dd-9e6c1966f982
Data from the automatic water quality buoy on Bassenthwaite Lake are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2012 to 2015. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.
RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere): In-situ airborne atmospheric chemistry and air quality unified model runs output
Atmospheric chemistry measurements were made during a series of campaign flights by the Facility for Airborne Atmospheric Measurements' (FAAM) BAE-146 research aircraft as part of the NERC funded RONOCO (ROle of Nighttime chemistry in controlling the Oxidising Capacity of the AtmOsphere) consortium project. These campaign data are available along with model output from the Met Office's Air Quality Unified Model (AQUM). The scientific objectives of RONOCO were to determine the morphology of tropospheric NO3 in different meteorological conditions and seasons, and in a range of gas phase and aerosol environments, in order to quantify the key processes and pathways of oxidized nitrogen chemistry at night in the troposphere. The ultimate aim was to assess the pervasiveness and importance of night time chemical processes, and in particular NO3, for UK regional and Western European air quality, eutrophication, and ultimately to quantify its linkages to climate change. The dataset contains images from the model output in png format.
Data from the CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain Aircraft during Flight 95/13 over the Guadalfeo River Basin, 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.
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.
Channel topography and grain-scale sediment structure, measured in flume experiments
Terrestrial laser scanner (TLS) and CT scan data collected during flume experiments on a gravel bed. TLS data show the bed surface topography before and after waterworking of the bed. CT scan data show the 3D structure of sections of the river bed after waterworking. Some CT data has been processed to segment the images into the individual gravel grains, and for some of these data a database of grain properties is also available. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/6749d033-cdf4-479b-ba85-015c3dbb476a
If you reuse this data, you should cite: Hodge, R.A., Voepel, H.E., Leyland, J., Sear, D.A., Ahmed, S. (2022). Channel topography and grain-scale sediment structure, measured in flume experiments. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/6749d033-cdf4-479b-ba85-015c3dbb476a
This resource is available under the terms of the Open Government Licence
The flume was filled with gravel, and wire baskets were buried in it. The bed was scanned using TLS. Flow was run through the flume to waterwork the gravel, and then the flume was drained. The bed was rescanned using TLS. Then the baskets were extracted, and CT scanned. 15 experimental runs were completed, with increasing amounts of sand and clay added to the flume throughout the experiment. CT data were processed to remove any scan artefacts, and to segment the gravel grains from the surrounding matrix and other materials. These segmented scans were then analysed to measure grain properties.
Ocean acidification and the Permo-Triassic mass extinction, Ediacaran metazoan reefs from the Nama Group, Namibia. Papers and associated data (NERC Grant NE/I005935/1)
Data and associated papers. Ocean acidification and the Permo-Triassic mass extinction. Ediacaran metazoan reefs from the Nama Group, Namibia. NERC Grant Re-inventing the planet: The Neoproterozoic revolution in oxygenation, biogeochemistry and biological complexity.
Published papers and corresponding data files.
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.
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.
FAAM Archive Population - showing flights 2011 onwards Go to: 2004-2010 2011 2012 2013 2014 Back to FAAM Dataset webpage
NERC Earth Observation Data Centre (NEODC)
Airborne Research and Survey Facility (ARSF)