(My organization)
Continents, countries, sea regions of the world.
Experimental direct shear friction dataset for synthetic clay gouges (NERC grant NE/L002469/1)
Friction coefficient and frictional stability (rate & state parameter) data for triaxially compressed direct shear experiments on kaolinite-rich china clay and Mg-montmorillonite fault gouges (<2micron grain size). A total of 19 raw experimental datasets are presented as detailed in the index files: 13 on kaolinite-rich china clay, and 6 on cation-exchanged Mg-Montmorillonite. The raw data files, logged at either 1 or 2Hz, comprise confining pressures, upstream and downstream fluid pressures, force experienced by the direct shear assembly during triaxial compression, and absolute volumes of the confining pressure and fluid pressure reservoirs. Data is provided as measured by gauges in the pressure vessel in Volts, and also as calculated in MPa, kN and mm3. Also presented are the outputs of MATLAB models run to simulate the rate and state parameters k, a, b, dc and f0 for each experiment, with error data presented as 2sigma and standard error values. Parameters were determined using a non-linear least-squares fitting routine with the machine stiffness treated as a fitting parameter (c.f. Noda and Shimamoto, 2009). Data were fit by a single set of state variables (a, b, dc) with a linear detrend. Also presented are the outputs of Specific Thermogravimetric Analyses on kaolinite-rich china clay and Mg-montmorillonite.
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.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
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.
Direct shear experiments were performed on 2 clay gouges (<2microns grain size) in a triaxial pressure vessel. Samples were sheared between two stainless steel sliders, with fluid/vacuum controlled via porous sintered discs. Tests were run under the following experimental conditions for each sample, at a confining pressure (Pc) of 60 MPa unless otherwise indicated: 1. Saturated with deionised water (80 MPa Pc, 20 MPa fluid pressure (Pf)); 2. At room humidity; 3. At room humidity with a vacuum applied to the sample assembly; 4. Vacuum oven dry (to 130ºC for 20 hours, then cooled to room temperature under vacuum); 5. Vacuum oven dry (to 130ºC for 20 hours, then cooled to room temperature under vacuum) with a vacuum applied to the sample assembly; 6. At room humidity, taken to 130ºC in the sample assembly under vacuum for ~20 hours and allowed to cool, and then run under vacuum.
CCMVal-1: Met Office UMETRAC model output contribution to the WMO 2006 REF1 experiment
CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains UMETRAC model output from the WMO 2006 REF1 experiment run by the Met Office model.
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 http://creativecommons.org/licenses/by/4.0/, 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.
CCMVAL-1 data were converted from original model format to ASCII by the modelling teams.
Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for the UK, 2015-2017
This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK 5x5 km Concentration Based Estimated Deposition (CBED) data for 2015-17 (see related data). The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia). Full details about this dataset can be found at https://doi.org/10.5285/b65abf02-bfdb-4546-a3a3-26e829d80b38
© Crown copyright and database right no limitations
If you reuse this data, you should cite: Rowe, E.C. (2021). Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for the UK, 2015-2017. NERC Environmental Information Data Centre https://doi.org/10.5285/b65abf02-bfdb-4546-a3a3-26e829d80b38
This resource is available under the terms of the Open Government Licence
Average Accumulated Exceedance (AAE) is calculated at 1x1 km resolution and summarises the exceedance of critical loads of acidity, and of nutrient nitrogen, for multiple habitats. It is derived from the exceedance (i.e. the amount of excess acid or nitrogen deposition above the critical load) for each habitat, the exceeded habitat area and the total acid- or nitrogen-sensitive habitat area in each 1x1 km grid square. For all habitats (except managed woodland) nutrient nitrogen, empirical critical loads have been allocated values based on habitat type and have been defined under the Coordination Centre for Effects (CCE) working group as part of the UNECE Convention on Long-range Transboundary Air Pollution UNECE. (https://wge-cce.org/Publications/Other_CCE_Reports/Review_and_revision_of_empirical_critical_loads_and_dose_response_relationships_2011) . For managed woodlands the steady state mass-balance approach is used where the long-term inputs and outputs of nitrogen from the system are calculated based on nitrogen uptake (removal by harvesting of trees), nitrogen immobilisation, denitrification, and nitrogen leaching. Acidity critical loads are based on the mineralogy and chemistry of the dominant soil type in each 1km grid square together with habitat-specific data. Critical load values are calculated depending on soil type - mineral soils or peat soils. Critical loads for acidity and nutrient nitrogen are compared with deposition data over the UK using three-year rolling mean 5x5 km Concentration Based Estimated Deposition (https://catalogue.ceh.ac.uk/documents/bfa37333-b22e-41b8-829a-10c57d50e13f). By overlaying CBED data of acid or nitrogen deposition on the critical loads data for acidity and nitrogen, exceedance maps can be generated. Simple statistics are further generated to quantify the area of sensitive habitats associated with critical load exceedances. Exceedances are calculated separately for each habitat type using habitat-specific deposition values: mean deposition to moorland (ie, low-growing vegetation) is applied to the coastal, grassland, heathland and montane habitats; mean deposition to forests is applied to all woodland habitats. Critical loads for terrestrial habitats are mapped at 1km resolution and national deposition data are currently available on a 5km grid. Exceedances for these habitats are calculated at 1km resolution by assuming that deposition values remain constant across each 5km grid square. Exceedances for freshwaters use catchment-weighted deposition values. Further details are given in the supporting documentation which gives reference to the full online methodological report (2015)
United Kingdom Butterfly Monitoring Scheme: collated indices 2012
Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats. Although the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and more recent versions of the UKBMS collated indices are available. Full details about this dataset can be found at https://doi.org/10.5285/7949cc99-76c4-4a3e-8c33-41a35b8b7777
If you reuse this data, you should cite: Botham, M., Roy, D., Brereton, T., Middlebrook, I., Randle, Z. (2013). United Kingdom Butterfly Monitoring Scheme: collated indices 2012. NERC Environmental Information Data Centre https://doi.org/10.5285/7949cc99-76c4-4a3e-8c33-41a35b8b7777
Registration is required to access this data
Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).
Atomic Force Microscopy images of surface nanobubbles on the carbonate mineral dolomite (NERC grant NE/M011429/1)
Non-contact Atomic Force Microscopy images (NC-AFM) of surface nanobubbles on the carbonate mineral dolomite. Since surface nanobubbles were first imaged in 2000, they have been of growing interest to research due to their long lived properties, with reported lifetimes as long as several hours. Images of nanobubbles were produced under water, collector and depressant conditions using the air water supersaturation method. These are the first images of surface nanobubbles on dolomite. Surface nanobubbles could play a part in the processing of dolomite via froth flotation. These images lay a foundation for future analysis of the effect of nanobubbles in flotation.
Non contact- atomic force microscopy (NC-AFM) was conducted on a Park Systems (South Korea) atomic force microscope XE100 located in Helmholtz Institute of Resource Technology Freiberg, Germany. The NC- AFM was combined with Raman Spectroscopy and an optical microscope to enable mineral identification and mapping. Images were produced in either 36 µm x 36 µm or 8 µm x 8µm sizes. Nanobubbles were generated using previously described air water supersaturation method. Both Contact cantilever (Park systems nanotechnology solutions partner) PPP-CONTSCR 10M and ContAl-G Cantilever were used with a spring constant of 0.2N/m.4 The liquid cell used was of the same composition previous described by Rudolph and Peuker (2014). For more details see Owens et al., (2018) RSC Advances.
HadUK-Grid Climate Observations by UK countries, v1.0.2.1 (1862-2019)
HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2019, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
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 by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme 2017 Backscatter and Sampling Data: HI1545 East Anglia Routine Resurvey 2017
Acoustic Backscatter mosaics, H575 Seabed samples, Images and Natural Feature Shapefiles. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office.
Sample equipment types used included: Grab. EGS (International) Ltd 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.
Electric Resistivity Ground Imaging (ERGI) data collected at sites on the Rio Beni, Bolivia (NERC Grant NE/H009108/1)
These files contain Electric Resistivity Ground Imaging (ERGI) data measured using a Tigre 128 electric resistivity system with 64 electrodes in a roll-along survey mode. The electrodes were spaced 5 m apart and used in a Wenner a array configuration. The format of the file names is as follows: The two digits following B (18 or 20) is a label indicating the measurement site The digit following the T (1, 2 or 3) is the measurement transect number The next six digits, following the underscore, are the measurement date (ddmmyy) The next two digits, following the second underscore, are the survey number (measurements were repeated multiple times) The files are in tab delimited ascii text format, with three columns of data: Column 1 contains the distance measured across the survey transect Column 2 contains the a-spacing (the distance between adjacent electrode pairs) in m Column 3 contains the measured apparent resistivity value in Ohm m
The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage.
Data consist of Electric Resistivity Ground Imaging (ERGI) data measured using a Tigre 128 electric resistivity system with 64 electrodes in a roll-along survey mode. The electrodes were spaced 5 m apart and used in a Wenner α array configuration. Data were collected along transects located on the floodplain of the Rio Beni, Bolivia.
Suspended organic matter stocks of Welsh upland rivers in response to organic matter addition (2012-2013)
These data are suspended organic matter stocks of coarse and fine particulate organic matter in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the suspended organic matter of the studied streams, water was filtered to collect monthly samples from December 2012 to January 2013 (before deciduous leaf addition) and from February to April 2013 (after deciduous leaf addition) in each sampling reach. The main goal of this survey was to examine how aquatic biodiversity and organic matter stocks respond to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Marian Pye was in charge of collecting, processing and sorting the samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/37e7a1b3-0564-4c6f-84df-a9635edb57b4
If you reuse this data, you should cite: Durance, I., Gutierrez-Canovas, C., Pye, M.C., Ormerod, S.J. (2017). Suspended organic matter stocks of Welsh upland rivers in response to organic matter addition (2012-2013). NERC Environmental Information Data Centre https://doi.org/10.5285/37e7a1b3-0564-4c6f-84df-a9635edb57b4
This resource is made available under the terms of the Open Government Licence
Each stream was divided into an upstream control zone and a downstream experimental zone. Samples of suspended organic matter were collected by filtering water. Deciduous leaves were added directly to the stream and by fixing 'Onion bags' of leaves the stream bed and bank. Samples were collected on six occasions, December (3-10/12/2012) January (3-16/01/2013), February (4-7/02/2013), March (11-14/03/2013), April (3-8/04/2013) and May (22-26/05/2013) in all the streams in both the upstream reference zones and downstream experimental zones. Upon collection,Suspended Organic Matter (SOM) samples were refrigerated at 4 degrees celsius, returned to the laboratory and frozen within 24 hours. Frozen SOM samples were then freeze-dried at -20 degrees Celsius for 48 to 72 hours and weighed to the nearest 0.0001gramme. Freeze-dried SOM samples were ground, homogenised and subsampled (3mg ±0.3mg) for analysis of elemental (C, N) and stable isotopic (delta-13C, delta-15N) composition on a mass spectrometer (University of California Davis Stable Isotope Facility). All SOM samples were corrected for inorganic content by combusting a subset (%) of samples from each site at 550 degrees Celsius for 5 hours and applying an ash-free conversion factor. Results were recorded in an Excel spreadsheet. Data was exported to a comma separated value files for ingestion into the Environmental Information Data Centre (EIDC).
British Geological Survey (BGS) Geophysical and Sampling Survey 1976/JM/14: Regional Mapping Programme: Irish Sea and St. George's Channel (29/Sep/1976 to 23/Oct/1976)
This British Geological Survey (BGS) marine geophysical and sampling survey took place in September/October 1976 in the Irish Sea and St. George's Channel on board the RRS John Murray. The purpose was to gather data which could be used to map the regional geology of the area. Cruise was virtually aborted by bad wather. Sediment cores were collected using a rock gravity corer. These data are archived by BGS. Technical details of the survey are contained in BGS Internal Report ??????????????.
Sample equipment types used included: Corer: Rock Gravity. 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.
Met Office documentation on HadUK-Grid data
Hollis, D, McCarthy, MP, Kendon, M, Legg, T, Simpson, I. HadUK‐Grid—A new UK dataset of gridded climate observations. Geosci Data J. 2019; 00: 1– 9. https://doi.org/10.1002/gdj3.78
HadUK-Grid Summary Change Log (upto version v1.0.2.1) detailing changes to available data and processing
HadUK-Grid v1.0.2.1 change log - new file lists of new files and file number totals for deleted, changed and adjusted files
NCAS British Atmospheric Data Centre (NCAS BADC)
NERC EDS Environmental Information Data Centre
Centre for Environmental Data Analysis (CEDA)
2019, Total E&P UK Ltd, VSP Operation at Culzean, Site Survey, DECC Reference Number GS_857
An oil and gas industry VSP site survey acquired under licence P111 between March and April 2019. The block numbers traversed were 22/25, 22/30.
The metadata is freely available for general disclosure. The actual survey data is restricted.
This dataset was collected by Total E&P UK Ltd and reported by the licensee through the geological survey consent activity log and close-out report (formerly PON 14). Data was collected using an air gun array.
World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3) Project Database: Community Climate System Model, version 3.0 (CCSM3) at National Center for Atmospheric Research (NCAR) data
Data from the National Centre for Atmospheric Research Community Climate System Model, version 3.0 simulations
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Under the following licence https://artefacts.ceda.ac.uk/licences/missing_licence.pdf, appropriate use of these data may fall under unstated 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 was converted to CF netCDF by the data provider.
BGS International Minerals-Related Data Holdings Scoping Study Report
The object of the scoping study was to assess the feasibility of creating a BGS International Minerals Data Library by first reviewing the nature and extent of minerals-related data holdings accumulated by BGS overseas projects in the last 35 years. Other important considerations such as data quality, utility and ownership are also addressed. Minerals-related information is regarded as geological, geochemical and geophysical data which have relevance in mineral exploration, prospect assessment, resource evaluation and ore deposit exploitation. This includes surveys and multidisciplinary studies on all scales and covering a wide range of disciplines/methodologies. The only aspects that are specifically excluded from the inventory are those projects that deal solely with hydrogeological investigations, development of hardware, software and laboratory techniques, training, institutional restructuring and management. This report lists the information holdings and their various formats summarised on a geographical basis and puts forward a proposal for the development of a digital BGS International Minerals Data Library for Industry and Government.
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.
Data collected from records held by BGS International which includes surveys and multidisciplinary studies.
https://catalogue.ceh.ac.uk/id/d07fe8a7-d4da-43e5-834d-e1b0f4cff0ac 10.5285/d07fe8a7-d4da-43e5-834d-e1b0f4cff0ac
Macroinvertebrate composition of Welsh upland rivers in response to organic matter addition (2013)
These data are macroinvertebrate composition and size in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the benthic macroinvertebrate communities of the studied streams, Surber net sampling was used to collect monthly samples during 2013 in January (before deciduous leaf addition) and from February to April (after deciduous leaf addition) in each sampling reach. Some of the collected individuals were used to characterise the invertebrate biomass of each reach. The main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley and Marian Pye, were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/d07fe8a7-d4da-43e5-834d-e1b0f4cff0ac
© Cardiff University © Imperial College London
If you reuse this data, you should cite: Durance, I., Feeley, H.B., Pye, M.C., Ormerod, S.J., Woodward, G., Gutierrez-Canovas, C. (2017). Macroinvertebrate composition of Welsh upland rivers in response to organic matter addition (2013). NERC Environmental Information Data Centre https://doi.org/10.5285/d07fe8a7-d4da-43e5-834d-e1b0f4cff0ac
Each stream was divided into an upstream control zone and a downstream experimental zone. Deciduous leaves were added directly to the stream and by fixing 'Onion bags' of leaves the stream bed and bank. Samples were collected using surber nets on five occasions, January (3-16/01/2013), February (4-7/02/2013), March (11-14/03/2013), April (3-8/04/2013) and May (22-26/05/2013) in all the streams in both the upstream reference zones and downstream experimental zones. Samples were immediately preserved in 70 per cent industrial methylated spirit (IMS) on-site. In the laboratory, samples were rinsed in tap water over a 350 micrometre sieve, and all macroinvertebrates were separated from debris and preserved in 70 per cent IMS. Results were recorded in an Excel spreadsheet. Data was exported to a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).
2020, Shell UK Ltd, Orlov Geotechnical Survey, Site Survey, DECC Reference Number GS_1123
An oil and gas industry geotechnical borehole site survey acquired under licence P2377 in August 2020. The block number traversed was 22/8.
This dataset was collected by Fugro on behalf of Shell UK and reported by the licensee through the geological survey consent activity log and close-out report (formerly PON 14). Data was collected using cone penetrometer, geotechnical borehole.
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme 2016 Backscatter and Sampling Data: HI1473 Flamborough Head to Humber Approach
Acoustic Backscatter mosaics, H575 seabed samples and Images. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office.
Sample equipment types used included: Grab: Van Veen. MMT 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.
Community Climate System Model, version 3.0 (CCSM3)
Model Information of Potential Use to the IPCC Lead Authors and the AR4. CCSM3
National Centre for Atmospheric Research (NCAR)