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Organic carbon burial calculation using sediment trap and sediment core records from Rostherne Mere, Cheshire, UK (1360-2016)
This dataset includes sediment trap, sediment core and loss-on-ignition to total organic carbon measurements from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the changing nutrient loads and subsequent organic carbon burial over the last 120 years. The sediment trap data cover the period from May 2010 to August 2016, while the sediment core was taken in September 2011 and has been 210Pb dated to circa 1360AD. All data is presented for date, loss-on-ignition (LOI) and calcium carbonate (CaCO3), with sediment trap data converted into net flux measurements and sediment core data calculated for net sedimentation rate following 210Pb dating. The conversion from LOI to total organic carbon was measured using mass spectrometry and applied to the trap and core data. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with part of the work also funded by the NERC small grant [grant number NE/H011978/1]. Full details about this dataset can be found at https://doi.org/10.5285/8616c1a0-6c6d-441c-9b10-8464dc4ee346
If you reuse this data, you should cite: Radbourne, A.R., Ryves, D.B., Anderson, N.J., Scott, D.R. (2018). Organic carbon burial calculation using sediment trap and sediment core records from Rostherne Mere, Cheshire, UK (1360-2016). NERC Environmental Information Data Centre https://doi.org/10.5285/8616c1a0-6c6d-441c-9b10-8464dc4ee346
This resource is made available under the terms of the Open Government Licence
Sediment trapping using two sequencing traps at 10 m and 25 m water depth was carried out at Rostherne Mere from May 2010 to September 2016. The traps sequentially opened into 12 individual 250 ml HDPE bottles, each representing a two-week collection period (except in January and February longer collection periods of up to four weeks were used). The traps were reset every six months as dictated by the trapping interval used, with trap sediment kept cool, dark and sealed during transport to the laboratory where it was stored frozen prior to analysis. A 112cm long sediment core was collected at 26 m water depth in September 2011 using a Livingstone piston corer. The sealed core was transported vertically to the laboratory, and stored vertically in a dark cold room at 5°C, prior to extrusion at 1cm intervals for the upper 50cm of sediment, and then at 0.5cm intervals for the remainder of the core. Mass-spectrometry elemental analysis was conducted for 23 sediment samples from a combination of sediment core and sediment trap sources. A range of organic matter percentage (OM%) samples were selected to generate an estimated OM to total organic carbon (TOC) conversion, specifically for application to Rostherne Mere sediment samples. The data was collated to Excel spreadsheets held by the lead author at Loughborough University. For ingestion into the Environmental Information data was extracted from the Excel spreadsheets and converted into a comma separated file.
2011, Enquest PLC, South West Heather and Ivy, Site Survey, DECC Reference Number 2402
An oil and gas industry site survey for semi-sub rigs and debris clearance acquired under licences P902 and P242 between January and September 2011. The block numbers traversed were 2/4 and 2/5.
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.
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 Enquest Heather Ltd and reported by the licensee 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, ultra-high resolution seismic, magnetometer/gradiometer, grab samples, vibrocores, cone penetrometer, seabed photography and seabed video.
QICS Data: Effect of a controlled sub-seabed release of CO2 on the biogeochemistry of shallow marine sediments, pore waters, and the overlying water (2012-2013)
The potential for leakage of CO2 from a storage reservoir into the overlying marine sediments and into the water column and the impacts on benthic ecosystems are major challenges The potential for leakage of CO2 from a storage reservoir into the overlying marine sediments and into the water column and the impacts on benthic ecosystems are major challenges associated with Carbon Capture and Storage (CCS) in subseafloor reservoirs. To investigate the consequences of CO2 leakage for the marine environment, a field-scale controlled CO2 release experiment was conducted in shallow, unconsolidated marine sediments. Changes of the chemical composition of the sediments, their pore waters and overlying water column were monitored before, during and up to 1 year after the 37-day long CO2 release from May 2012 to May 2013. In particular this focused on changes in the solid phase (physical properties, major and minor elemental composition, inorganic and organic carbon content), the pore water chemical composition (cations, anions, nutrients and the carbonate system parameters total alkalinity, dissolved inorganic carbon and isotopic signature of DIC) and the water column chemical composition (oxygen, nutrients, total alkalinity and dissolved inorganic carbon). This dataset was collected by the National Oceanography Centre (NOC) under the program QICS (Quantifying and monitoring environmental impacts of geological carbon storage) which was funded by the Natural Environment Research Council (NERC), with support from the Scottish Government. The results are contained in an Excel file. QICS project website: www.bgs.ac.uk/qics/home.html. Lichtschlag et al. (2014) Effect of a controlled sub-seabed release of CO2 on the biogeochemistry of shallow marine sediments, their pore waters, and the overlying water column, http://www.sciencedirect.com/science/article/pii/S1750583614003090 (doi:10.1016/j.ijggc.2014.10.008).
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.
Samples of sediment, pore waters and water column were taken in 4 zones i) pre-injection, ii) during the gas injection, and iii) during 4 sampling campaigns conducted up to 1 year post-injection: Zone 1: Directly above the CO2 injection point Zone 2: 25 m away from the injection point Zone 3: 75 m away from the injection point Zone 4: 450 m away from the injection point A series of sediment cores (~20-25 cm long) were collected from the 4 zones that had different distance to the CO2 injection point. At each sampling campaign three sediment cores were collected in perspex tubes (5 cm inner diameter) from each zone and on each sampling campaign by Scuba diving and immediately transferred for processing to a temperature controlled room set to the in situ temperature (usually ~10ºC). One core was sub-sampled for solid phase sediment analyses and the remaining two cores were used for sediment pore water extraction. For solid phase analysis, the sediment cores were sliced at 2 cm depth intervals. A sub-sample (3 mL) of each section was transferred into a glass headspace vial containing 5 mL of 1 mol L-1 sodium hydroxide and crimp-sealed for methane analysis. Sub-samples for porosity and grain size were stored in pre-weighed plastic containers at 4ºC and the remainder of the sediment sample was freeze-dried for XRF analysis. Water samples were collected from onboard the research vessel Seòl Mara using a 5L Niskin bottle. Water samples were taken from 5 depths, ranging from 2 m below the sea surface to 1 m above the seafloor, with the absolute depth depending on the tidal range. Sub-samples were transferred into gas tight glass vials without headspace for DIC, TA and dissolved oxygen analyses. Additional sub-samples were frozen in plastic bottles for nutrient analyses. The major and minor element composition of the sediments was determined by X-ray fluorescence on fused glass beads for the major elements and on pellets pressed into bricks for the minor elements. Total inorganic carbon (TIC) and total carbon (TC) concentrations were measured with a CO2 coulometer equipped with an acidification module, and organic carbon (Corg) was calculated by subtracting the acid soluble fraction from the bulk carbon. Porosity was determined by mass difference between the wet sediment, and sediment dried in the oven at 60ºC for a minimum of 72 hours, assuming a sediment density of 2.6 g cm-3. Grain size was measured on the dried sediments using a Malvern Mastersize analyser after shaking the samples overnight in a 1% Calgon solution to disaggregate them. Oxygen concentrations were determined using the Winkler titration technique. DIC was measured using an infrared analyser to detect CO2 released from the sample after acidifying with 10 % H3PO4. Total alkalinity was determined by Gran titration. Cations were measured by inductively coupled plasma optical emission spectrometry and by inductively coupled plasma mass spectrometry. Anions were measured by ion exchange chromatography with 9 mmol L-1 NaCO3 as the eluent. The carbon isotopic composition of the DIC (δ13CDIC) was determined using a multiflow preparation system coupled to an continuous flow mass spectrometer. Total alkalinity was determined by titration against 0.0005 mol L-1 HCl using a mixture of methyl red and methylene blue as an indicator. Total dissolved sulphide concentrations (H2S + HS- + S2-) were determined using the diamine complexation method. Concentrations of methane were determined by gas chromatography. The data in the table is the format Dx/Dx (day relative to injection). D-6/-7: 10/11 May 2012 D13/14: 30/31 May 2012 D34/D35: 20/21 June 2012 D41/D42: 27/28 June 2012 D53/D54: 9 July/10 July 2012 D126/D127: 18/20 September 2012 D356/D357/D358: 8/9/10 May 2013
High-resolution temperature and precipitation measurements for fire-affected locations in Australia (2019-2020) and Tenerife (2020-2021)
This dataset includes temperature and precipitation depth measurements in 10 min intervals taken in 2 locations and time periods after forest fires: - Madre del Agua (Tenerife, Spain): 17/11/20 to 19/11/2021 - Thompson reservoir (Victoria, Australia): 28/03/19 to 13/01/2020 Data was collected using RainWise Rainew raingauges coupled to Onset HOBO pendant dataloggers (UA-003-64) to monitor environmental parameters related to runoff occurrence. Full details about this dataset can be found at https://doi.org/10.5285/26774f3b-d535-4800-97e4-f2fc7cf9b2da
If you reuse this data, you should cite: Neris, J., Doerr, S.H., Santin, C., Sanchez-Garcia, C., Sheridan, G.J. (2023). High-resolution temperature and precipitation measurements for fire-affected locations in Australia (2019-2020) and Tenerife (2020-2021). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/26774f3b-d535-4800-97e4-f2fc7cf9b2da
This resource is available under the terms of the Open Government Licence
Data was collected using RainWise Rainew raingauges coupled to Onset HOBO pendant dataloggers (UA-003-64). The raingauges were installed at 1.5 m over the ground surface and in open areas to avoid precipitation interception by vegetation. Data was downloaded periodically. No data analysis was conducted at this stage.
2012, Total E&P UK Ltd, Geophysical Site Survey Elgin NW UKCS Block 22/30c, Site Survey, DECC Reference Number 2769
An oil and gas industry site survey for a jack-up rig, semi-sub-rig acquired under licence P188 in April 2012. The block number traversed was 22/30c.
This dataset was collected by Calesurvey Ltd on behalf of Total E&P UK Ltd and reported by the licensee through the PON 14 regulation. Data was collected using single beam echo sounder, multibeam echo sounder, side scan sonar, magnetometer/gradiometer, hull-mounted pinger, mini airgun, cone penetrometer, high resolution seismic and water temperature/salinity measurements.
Registers of macrofossils (Leeds system)
Registers of macrofossils arranged by 1" (one inch ro the mile) or 1:50 000 scale English geological sheets. Each register is numbered 1-359 and each sheet has one or more volumes. Within each volume, data is arranged by collectors symbol. This is the system used in the Leeds office (the London office had a different system- see MACROLONDON). It is this system that is currently in use.
Any data derived should be returned to the BGS together with a copy of the report/paper
Marine Aggregate Levy Sustainability Fund (MALSF) Geophysical and Multibeam Survey 2006/6_MEPF: MALSF Eastern English Channel Marine Habitat Map Study (24/Feb/2006 to 06/Mar/2006)
This CEFAS marine geophysical survey took place in February/March 2006 in the Eastern English Channel aboard the RV CEFAS Endeavour. This survey was undertaken for the Eastern English Channel Marine Habitat Map study (EECMHM) as part of a series of four surveys. The EECMHM study was funded by the Marine Environment Protection Fund (MEPF) a marine component of the Aggregate Levy Sustainability Fund (MALSF). The purpose of this survey was to infill between lines completed during a previous survey in 2005. Sea floor data were collected using an EM3000 multibeam bathymetry system. Backscatter data were collected using sidescan sonar system. These data are archived with the MEDIN Data Archive Centres (DACs), including the BGS DAC for geology and geophysics and multibeam bathymetry data are available from the UKHO Bathy DAC, https://www.gov.uk/guidance/inspire-portal-and-medin-bathymetry-data-archive-centre. Where Hardcopy records exist these have been archived by CEFAS. Cruise summary report available: https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/endeavour6_06.pdf. For further information on the surveys and general information on the EECMHM see the final report (James et al, 2007. Cefas Science Series Technical Report No. 139).
Geophysical equipment types used included: Sidescan Sonar. CEFAS was contracted to undertake the survey on behalf of Marine Aggregate Levy Sustainability Fund. 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.
Survival and persistence of clinically relevant E. coli on plastic waste under simulated environmental conditions
This dataset contains information relating to the survival and persistence of clinically relevant strains of E. coli on plastic and cotton, under environmentally relevant conditions. The data encompass bacterial strain identity, material type, timepoints (days), bacterial concentration (CFU/ml) and survival percentages. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1]. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/268cab8c-459c-4bf8-9b90-838c4d18efb2
If you reuse this data, you should cite: Ormsby, M.J., White, H.L., Metcalf, R., Oliver, D.M., Quilliam, R.S. (2025). Survival and persistence of clinically relevant E. coli on plastic waste under simulated environmental conditions. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/268cab8c-459c-4bf8-9b90-838c4d18efb2
Biofilm formation, persistence and pathogenicity of E. coli were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments, quantified using crystal violet staining, and analysed in triplicate. Persistence was assessed by recovering E. coli from biofilms over 28 days, followed by serial dilution, and selective plating. Pathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Data underwent thorough validation at each stage, including replication, and selective media confirmation, ensuring high reliability and accuracy before submission.
Five Deeps Expedition to map the Molloy Hole (Arctic Ocean)
The Molloy Hole was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of three days – August 24-26, 2019. The data meet the requirements for IHO Order 1 standards.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
All hydrographic surveys were executed aboard the DSSV Pressure Drop built in 1985 (68.28 m long by 13.11 m wide), fitted with a 1° x 2° Kongsberg EM 124 multibeam echosounder (MBES). All MBES data acquisition was undertaken at a typical vessel speed of 8 knots, with a swath width typically 2-3 times water depth or ~ 15-20 km. Survey lines were spaced between 6-7 km to ensure 100% overlap over areas of interest. All raw bathymetry data were processed in QPS Qimera and gridded to 75 m using CUBE algorithms. CUBE algorithms use the surrounding depth information and advanced statistical practices to determine the best estimate of depth while simultaneously calculating the uncertainty of those estimates. The total propagated uncertainty (TPU) was calculated for each dataset.
Geophysical Logs Database - onshore hydrocarbon wells
The BGS Geophysical Logs Database contains downhole geophysical log data from onshore UK boreholes drilled for the purpose of oil and gas exploration and extraction. These wells are regulated by the North Sea Transition Authority (NSTA; formerly known as DECC – Department of Energy and Climate Change and OGA – Oil and Gas Authority) and deeply penetrate the crust (often over 1 km deep) under the UK mainland, making the data collected from them useful for a variety of purposes. This dataset is a subset of the BGS Geophysical Logs Database.
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.
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.
The database represents an aggregation of the geophysical log data held by BGS which originate from various sources, with different lineages, processing and quality control steps.
Citation Information - Digital Object Identifier (DOI)
British Geological Survey (BGS) GeoIndex - Boreholes data theme
GeoIndex Onshore: Onshore UK Hydrocarbon Well Data
NERC EDS Environmental Information Data Centre
Marine Aggregate Levy Sustainability Fund
A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence
A set of six large catalogues documenting the seismic sequence that occurred in central Italy between 2016 and 2017, characterized by a cascade of four MW5.5–6.5 events. The earthquake catalogues possess different levels of resolution and completeness that result from progressive enhancements in both detection sensitivity and hypocentral location determination. These quality differences reflect the subsequent application of advanced methods.
The presented catalogues were retrieved by using different location methods: the IpoP code (internal linearized method) (CAT0), the NonLinLoc code (CAT1, CAT3) and the double-difference technique (with or without the use of cross-correlation measurements) (CAT2, CAT4 and CAT5). CAT0, CAT1 and CAT2 are based on the dataset of P- and S-waves picks revised in nearly real-time in the INGV seismic monitoring room, while CAT3 and CAT4 are based on the dataset of Spallarossa et al. (2020) , composed of P- and S-picks and maximum amplitudes, automatically estimated using the Complete Automatic Seismic Processor (CASP) combined with the RSNI-Picker2. CAT5' dataset derives from the PhaseNet picker, used for detecting earthquakes and measuring P- and S-waves arrival times, associated to individual events with REAL package.
Air pollution removed by vegetation in the UK, 2015
This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates annual averaged atmospheric composition at approximately 5Km grid for the year 2015 for a set of vegetation removal experiments. * UK current vegetation * UK no vegetation * UK Urban current vegetation * UK No urban vegetation * UK Urban 25% open greenspace conversion * UK Urban 50% open greenspace conversion The EMEP model version used here is the rv4.10 and rv4.17, and the WRF model version is the 3.7.1. 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 and the Office of National Statistics to support the ONS-Defra natural capital accounting programme in the UK. Full details about this dataset can be found at https://doi.org/10.5285/bad6721c-574b-4229-b023-c7b13ae4c099
UK Status, Change and Projections of the Environment
If you reuse this data, you should cite: Vieno, M., Nemitz, E., Jones, L., Carnell, E.J., Morton, R.D. (2020). Air pollution removed by vegetation in the UK, 2015. NERC Environmental Information Data Centre https://doi.org/10.5285/bad6721c-574b-4229-b023-c7b13ae4c099
The EMEP4UK atmospheric chemistry transport model calculated annual average concentrations and annual total for depositions for a model domain covering the UK with a resolution of about 5x6km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). The data are processed from the full EMEP4UK model output to subset to a selection of variables only relevant for the vegetation removal work. The ncks nco command version 4.9.3 (nco - The netCDF Operators that comprises a dozen standalone command-line programs that take netCDF and/or DAP files as input) was used to subset the model outpus. R was used to access the AURN dataset to evaluate the EMEP4UK model output. Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error-free or fit for your intended use.