(My organization)
Continents, countries, sea regions of the world.
ITE Land Classification of Great Britain 1998
The Land Classification 1998 is a classification of Great Britain into a set of 40 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s and building upon a previous 1990 version. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. The Land Classification 1998 provided stratification for the Countryside Survey of Great Britain 2000 and was adjusted from the 1990 version as a consequence of needing to provide National Estimates for habitats for Scotland from Countryside Survey 2000 in addition to GB as a whole. The dataset was later modified in 2007 during Countryside Survey 2007. Both the 1990 version and the 2007 version are also available. Full details about this dataset can be found at https://doi.org/10.5285/971671a6-98b4-4d80-b165-21dace7373b9
If you reuse this data, you should cite: Bunce, R.G.H., Barr, C.J., Clarke, R.T., Howard, D.C., Lane, A.M.J. (1998). ITE Land Classification of Great Britain 1998. NERC Environmental Information Data Centre https://doi.org/10.5285/971671a6-98b4-4d80-b165-21dace7373b9
Registration is required to access this data
The 1998 version of the ITE Land Classification was developed from an earlier classification from 1990 which used environmental data from all 240,000 km squares in GB to create the stratification. It contains 40 classes or strata, distributed across Great Britain. Each stratum consists of areas with similar environmental characteristics. The classification differs from the 1990 version by splitting classes in England and creating additional classes in Scotland. Further information is provided in the supporting documents available in the Online Resources.
Ozone flux, dynamic global vegetation, and carbon storage modelled data of tropical forests using the Joint UK Land Environment Simulator (JULES), 1900-2015
This dataset includes spatially-explicit input, output and summary data from the use of dynamic global vegetation model, the Joint UK Land Environment Simulator (JULES V5.6). This includes the spatial extent of extant, current-secondary and potential- secondary forests, as well as both preindustrial (1900-1910) and recent (2005-2014) average O3 concentrations resampled at a spatial resolution of 1.25 deg latitude by 1.875 deg longitude. Output data includes the modelled impact of O3 on net-primary productivity (NPP) of tropical forests under current O3 concentrations as well as the cumulative impact on the global carbon cycle. This dataset was created to model predicted impacts of ozone (O3) on tropical forests across the globe between 1900 and 2015, and is supported by NERC PROJECT: NE/R001812/1 Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz). Full details about this dataset can be found at https://doi.org/10.5285/87412c44-f11a-4182-b182-47d872ad7ebd
If you reuse this data, you should cite: Cheesman, A.W., Brown, F., Artaxo, P., Farha, N., Folberth, G.A., Hayes, F.J., Heinrich, V.H.A., Hill, T.C., Mercado, L.M., Oliver, R.J., O'Sullivan, M., Uddling, J., Cernusak, L.A., Sitch, S. (2024). Ozone flux, dynamic global vegetation, and carbon storage modelled data of tropical forests using the Joint UK Land Environment Simulator (JULES), 1900-2015. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/87412c44-f11a-4182-b182-47d872ad7ebd
This resource is available under the terms of the Open Government Licence
These data were produced using the Joint UK Land earth simulator (JULES v5.6) run on the UK's JASMIN computer facility. Model simulations were run assuming a homogeneous O3 susceptibility of tropical trees to one of the three levels identified (i.e. low, moderate, high) by associated empirical work. Simulations prescribed dynamic vegetation, allowing Plant functional type (PFT) fractional cover and Leaf Area Index (LAI) to change with varying environmental conditions over the last century. Standard inputs across simulations included variation in [CO2] and land-use land-cover change as used in the Global Carbon Budget 2020, meteorology and forcing data from CRU-JRA v 2.3 with either pre-industrial O3 concentrations or a transient O3 concentration supplied by UKESM1 part of Coupled Model Intercomparison Project Phase 6 (CMIP6). Model simulations were compared to standard models used as part of the CMIP6 with runs including static or transient O3 being compared to determine the impact of change in O3 between 1900 and 2015 on NPP and thereby the terrestrial carbon stocks.
2003 Strategic Environmental Assessment SEA5 RV Jean Charcot Braer Operations report (North Sea)
As part of the Department of Trade and Industry's (now Department of Energy and Climate Change) Strategic Environmental Assessment 5 (SEA5) a geophysical survey was undertaken on the survey vessel R/V Jean Charcot. The geophysical survey comprised the first phase of a scientific research project devoted to acquiring information about specific aspects of the North Sea Environment and its seafloor habitats. The geophysical survey was required to provide high resolution maps of the seafloor in SEA 5 areas of interest. Swath bathymetry, side scan sonar and shallow geophysical reflection data were acquired as part of the geophysical survey. No seabed samples were collected.
As part of the UK Department of Energy and Climate Change's Offshore Energy Strategic Environmental Assessment programme a geophysical survey programme was performed in SEA 5 (Strategic Environmental Assessment 5) by Fugro Survey Limited. The survey vessel R/V Jean Charcot was used for all aspects of the geophysical survey. For the purposes of this survey, Hays Ships Limited was contracted to Geotek Limited, which has an agreement with the DTI (Department of Trade and Industry). A Simrad EA501P single beam echo sounder and a Simrad EM1000 multibeam echo sounder and GeoAcoustics Model 136 tow fish were used.
Radiogenic and stable isotope data (NERC grant NE/L004011/1)
The dataset contains three subsets: 1) W isotope data for reference materials and geological samples, 2) Pb isotope data for reference materials and geological samples and 3) Mo isotope data for reference materials and geological samples. The data was collected over a period of about two years in two different laboratories (University of Manchester and University of Bristol) using multi-collector ICPMS techniques. A description of the methods used to obtain the W and Mo isotope data can be found in Willbold et al. (2011) and Willbold et al. (2016). The determination of the Pb isotope data is detailed in Freymuth et al. (2016). The data of reference materials (standard solutions and geological reference materials) is used to assess the reproducibility and accuracy of the mass spectrometric setup at the time and used as uncertainty estimate for the geological sample data. References: Freymuth, H., Elliott, T., van Soest, M., Skora, S., 2016. Tracing subducted black shales in the Lesser Antilles arc using molybdenum isotope ratios. Geology 44, 987-990. Willbold, M., Elliott, T., Moorbath, S., 2011. The tungsten isotopic composition of the Earth's mantle before the terminal bombardment. Nature 477, 195-198. Willbold, M., Hibbert, K., Lai, Y.-J., Freymuth, H., Hin, R.C., Coath, C., Vils, F., Elliott, T., 2016. High-Precision Mass-Dependent Molybdenum Isotope Variations in Magmatic Rocks Determined by Double-Spike MC-ICP-MS. Geostandards and Geoanalytical Research 40, 389-403.
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]"
Preparation of standard solutions as part of previous studies (Willbold et al., 2011; Willbold et al., 2016) Preparation of rocks samples using metal-free tools (see Willbold et al., 2011) except for geological reference materials, which were obtained as powders from the US Geological Survey (USGS). Data acquisition by MC-ICPMS techniques using sample-standard bracketing (W and Pb isotope data) and double-spike (Mo isotope data) techniques. Data reduction as well as data presentation described in Willbold et al. (2011; 2016), and Freymuth et al. (2016). References: Freymuth et al. (2016). Geology 44, 987-990. Willbold et al. (2011). Nature 477, 195-198. Willbold et al. (2016). Geostandards and Geoanalytical Research 40, 389-403.
Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/25 over the Plymouth Area, in support of the Plymouth Atmospheric Correction Experiment (PACE) and the Land-Ocean Interaction Study (LOIS)
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.
Plymouth Atmospheric Correction Experiment
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://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 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.
Flower-insect timed count data from the UK Pollinator Monitoring Scheme, 2017-2020 version 2
This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This is version 2 of the dataset; the previous version contained some duplicate data rows, which have been deduplicated in version 2. The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology, but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares in England, Scotland and Wales, and also gathers data on pan-trapped insects (see separate dataset). The UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS is jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners. Full details about this dataset can be found at https://doi.org/10.5285/13aed7ac-334f-4bb7-b476-4f1c3da45a13
The following acknowledgement is required for use of this dataset: The UK Pollinator Monitoring Scheme (PoMS) is funded by the Department for Environment, Food & Rural Affairs (Defra, England), Welsh Government, Scottish Government, Department of Agriculture, Environment and Rural Affairs (DAERA, Northern Ireland), Joint Nature Conservation Committee (JNCC), and through a research partnership agreement between Defra, Natural England and the UK Centre for Ecology & Hydrology (UKCEH) number ECM_54322, which builds upon work supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. PoMS is indebted to the many volunteers who carry out surveys and contribute data to the scheme.
If you reuse this data, you should cite: UK Pollinator Monitoring Scheme (2022). Flower-insect timed count data from the UK Pollinator Monitoring Scheme, 2017-2020 version 2. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/13aed7ac-334f-4bb7-b476-4f1c3da45a13
Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of 14 target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects. One km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 75 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month. Data is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way.
UKCCSRC Call 2 Project: Towards more flexible power generation with CCS: pilot plant test campaigns for best practice guidelines for post-combustion capture
This project aims to build on and strengthen joint industry research programmes between Edinburgh, Doosan Power Systems in the UK and Sulzer ChemTech, a world leading manufacturer of separation processes equipment, with the objectives to move beyond current concepts for designing CO2 absorption columns for base-load operation, and towards new columns capable of meeting the requirements for flexible and highly dynamic operation of CCS power plants. It is an important research for the UK to ensure that conventional power plants fitted with CCS can become a source of dispatchable and low carbon energy to complement non-dispatchable renewable technologies such as wind or solar power. We propose to demonstrate the capabilities of novel ways to use solvent property instrumentation to significantly enhance the dynamic flexibility of the amine pilot plant at the UK CCS Research Centre Pilot Advanced Capture Testing facilities and to develop an underpinning understanding of the capabilities of state-of-the-art hardware, such as structured packing,liquid distributors, used in and around packed columns. Grant number: UKCCSRC-C2-214.
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.
UKCCSRC Call 2 project, grant number: UKCCSRC-C2-214, Lead institution: University of Edinburgh
Report: Kingsnorth E.ON UK Carbon Capture & Storage Front End Engineering and Design (FEED) - Chapter 04: Project Design
During 2010-11, as part of the Carbon Capture & Storage (CCS) Demonstration Competition process, E.ON undertook a Front End Engineering Design (FEED) study for the development of a commercial scale CCS demonstration plant at Kingsnorth in Kent, South East England. The study yielded invaluable knowledge and the resulting material is available for download here. This chapter contains design philosophy documents which were produced to ensure a common approach to the design of all aspects of the CCS project, addressing overall project lifecycle and the interface between the Carbon Capture Plant and the Power Station. Some of the key issues concerning the design and integration of a CCS development are: Power plants have been designed for many years to operate flexibly in response to the demands of the electricity network. The CCS plant technology is closer to process plant technology which is not usually designed for such flexible operation, and this will provide a key challenge during the detailed design process to provide the required flexibility of operation; Assessment of various cooling technologies for the power station and carbon capture plant shows that direct water cooling is the Best Available Technology in terms of Environmental Impact; Significant parts of the existing cooling water infrastructure can be re-used; There is potential to advantageously interface steam and cooling systems between the power plant and CCS plant; Venting, and the consequent cooling, of CO2 for pressure relief or operational reasons raises issues with lack of buoyancy and dispersion which require significant further work. Further supporting documents for chapter 4 of the Key Knowledge Reference Book can be downloaded. Note this dataset is a duplicate of the reports held at the National Archive which can be found at the following link - http://webarchive.nationalarchives.gov.uk/20121217150421/http://decc.gov.uk/en/content/cms/emissions/ccs/ukccscomm_prog/feed/e_on_feed_/project_design/project_design.aspx
These reports are the result of a Front End Engineering and Design (FEED) study undertaken by E.ON following the award of a FEED contract with the Department of Energy and Climate Change (DECC) in March 2010.
EU Project Report: Saline aquifer CO2 storage : a demonstration project at the Sleipner Field : Work Area 5 (Geophysics) : gravity modelling of the CO2 bubble
This report describes the results of Task 5.1 in SACS2 Work Area 5 (Geophysics). The aim of the Task is to evaluate the applicability of microgravity surveys as a means of monitoring the future subsurface distribution and migration of the Sleipner CO2 bubble. The report can be downloaded from http://nora.nerc.ac.uk/511457/.
SACS was a supported by the European Commission under the 4th Framework Programme from 1998 -1999. SAC2 was a supported by the European Commission under the 4th Framework Programme from 2000 - 2002
https://catalogue.ceda.ac.uk/uuid/edf8febfdaad48abb2cbaf7d7e846a86 edf8febfdaad48abb2cbaf7d7e846a86 http://dx.doi.org/10.5285/edf8febfdaad48abb2cbaf7d7e846a86
CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015)
The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.00 data are month-by-month variations in climate over the period 1901-2015, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia. The CRU TS4.00 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2015. The CRU TS4.00 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.00 is a full release, differing only in methodology from the existing current release, v3.24.01. Both are released concurrently to support comparative evaluations between these two versions. The CRU TS4.00 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. All CRU TS output files are actual values - NOT anomalies.
The CRU TS data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of the CRU TS data include: CRU TS 4.00 was provided to CEDA for archival in March 2017. CRU TS 3.24.01 was provided to CEDA for archival in January 2017. This is the latest version available and is a replacement of the withdrawn dataset 3.24, it supersedes all previous data versions (which are available to allow user comparisons) CRU TS 3.24 was provided to CEDA for archival in July 2016. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons), v3.24 has been withdrawn. CRU TS 3.23 was provided to CEDA in October 2015 by CRU. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons). CRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU. CRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU. CRU TS 3.20 was produced in December 2012. In March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive. CRU TS 3.10.01 In July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs. CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.
Strategic Environmental Assessment (SEA) data portal
Citation Information - Digital Object Identifier (DOI)
Climate Research Unit (CRU) data Homepage
CRU TS Version 4.00 Google Earth Interface
Harris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3
Publication of version 4 of the CRU TS monthly high-resolution gridded climate dataset
NERC EDS Environmental Information Data Centre
Department for Energy and Climate Change (DECC)
NERC Earth Observation Data Centre (NEODC)
Airborne Research and Survey Facility (ARSF)
Department for Environment, Food & Rural Affairs
Department of Agriculture, Environment and Rural Affairs
Department of Energy & Climate Change (DECC)
Centre for Environmental Data Analysis (CEDA)
University of East Anglia Climatic Research Unit (CRU)
Perch weekly mean sizes from Green Tuft 1946-2012
This dataset consists of weekly mean sizes of Perch (Perca fluviatilis) from trapping at Green Tuft, Windermere, Cumbria, sampled between 1946 and 2012. Perch have been monitored in the north and south basins of Windermere by trapping with variations in sampling sites and efforts from 1943 to the present. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/495fd597-42b2-4985-96dc-3d9ec024b829
If you reuse this data, you should cite: Winfield, I.J., Fletcher, J.M., James, J.B. (2014). Perch weekly mean sizes from Green Tuft 1946-2012. NERC Environmental Information Data Centre https://doi.org/10.5285/495fd597-42b2-4985-96dc-3d9ec024b829
Perch have been monitored in the north and south basins of Windermere by trapping with variations in sampling sites and efforts from 1943 to the present. Data are presented here from 1946 onwards. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Please see supporting documentation for further information.
Superficial Aquifer Productivity Scotland version 1
The dataset describes the potential of superficial deposit aquifers across Scotland to sustain various levels of borehole water supply, based on four productivity classes: high; moderate to high; moderate; and a category to signify that a deposit is 'not a significant aquifer'. All superficial deposits aquifers in Scotland are assumed to have primarily intergranular groundwater flow. The dataset is a tool to indicate the location and productivity of superficial deposit aquifers across Scotland. It may have several uses, including in policy analysis and development; to prioritise aquifer and site investigations; to inform planning decisions; and to improve awareness of groundwater in general. The complexity and heterogeneity of geological formations means that the dataset is only a guide. It is designed to be used at a scale of 1:100,000, and not to assess aquifer conditions at a single point. Latest version : Superficial Aquifer Productivity Scotland version 2
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.
This dataset will be licensed: data licensing conditions have been agreed with SEPA and the Scottish Government. The map provides only approximate descriptions of ground conditions, and is designed to be used at a scale of 1:100,000. Use of the map must therefore be pragmatic, and it is not a substitute for detailed site investigation.
Methodology as defined in BGS User Guide V2, available from BGS Enquiries and http://nora.nerc.ac.uk/16222/
Environmental Sensitivity Vector 1 Hectare Grid - England
The dataset is based on a 1 hectare(ha) vector grid which covers the whole of England. It has been populated with a series of environmental and cultural assets, reflecting the presence or absence of an asset in an individual cell. The dataset has been designed to enable a single asset to be displayed in a generalised fomat; total numbers of assets within a given cell; or the opportunity to create in unique combination of the assets based on the generalised 1 ha data. The data is also available at 1km.
Unrestricted access/use for BGS staff. The data is not to be used externally without consulting the IPR section.
Dataset reflects combination of a wide range of third party information converted to a 1 ha vector grid.
Department for Environment, Food and Rural Affairs (DEFRA) South Dorset: Benthic Sampling Survey SDOR_cend11c11: (04/07/2011 to 04/07/2011)
Opportunist sampling - details unknown (non-MCZ). These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package including raw is also available on request from BGS.
CEFAS was contracted to undertake the survey on behalf of Department for Environment, Food and Rural Affairs. Opportunist sampling.
Taxonomy for macroinvertebrates in Welsh upland rivers (2012-2013)
These data are for macroinvertebrate taxonomy and abundance of Welsh upland rivers. The sampling sites were located in small and medium catchments across Wales. Sampling took place in either spring 2013 for sites in the Wye catchment or during 2012 for the other catchments. At each sampling point, 2-minute kick-samples were taken from river riffles to represent macroinvertebrate composition. Samples were preserved in industrial methylated spirit on site. Samples were then sorted and identified in the laboratory. The main goal of this survey was to characterise a gradient of aquatic biodiversity associated with different environmental settings for example land-use intensify and recovery from acidification. Dr Isabelle Durance was the responsible of organising the surveys, Dr Hugh Feeley was in charge of collecting, processing and sorting the invertebrate samples. Kath Layer was commissioned by Cardiff University for the identification. 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/10.5285/8f7b2269-73b1-449f-8590-e36c7c850913
© Cardiff University © Imperial College London
If you reuse this data, you should cite: Durance, I., Ormerod, S.J., Feeley, H.B., Woodward, G., Layer, K., Gutierrez-Canovas, C. (2017). Taxonomy for macroinvertebrates in Welsh upland rivers (2012-2013). NERC Environmental Information Data Centre https://doi.org/10.5285/8f7b2269-73b1-449f-8590-e36c7c850913
This resource is made available under the terms of the Open Government Licence
Invertebrates were collected by standardised kick sampling methods. Samples were preserved on-site by adding 100 per cent industrial methylated spirit (IMS) to the sample volume. In the laboratory, samples were hand sorted, preserved in 70 per cent IMS. Major groups were identified and counted to species or genus for most taxa or to family in cases where taxonomy was difficult or larvae were insufficiently well developed. Results were entered into an Excel spreadsheet. Data was exported as a comma separated value file for ingestion into the Environmental Information Data Centre (EIDC)
Department for Environment, Food and Rural Affairs