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Continents, countries, sea regions of the world.
UK Environmental Change Network (ECN) Fine Grain Vegetation data: 1994-2012
[THIS DATASET HAS BEEN WITHDRAWN]. Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. They represent continuous records every three years (some sites record data annually) from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/5a1efdfc-8f51-4ee9-9ed4-677bddd3f135
If you reuse this data, you should cite: Rennie, S., Adamson, J., Anderson, R., Andrews, C., Bater, J., Bayfield, N., Beaton, K., Beaumont, D., Benham, S., Bowmaker, V., Britt, C., Brooker, R., Brooks, D., Brunt, J., Common, G., Cooper, R., Corbett, S., Critchley, N., Dennis, P., Dick, J., Dodd, B., Dodd, N., Donovan, N., Easter, J., Eaton, E., Flexen, M., Gardiner, A., Hamilton, D., Hargreaves, P., Hatton-Ellis, M., Howe, M., Kahl, J., Lane, M., Langan, S., Lloyd, D., McElarney, Y., McKenna, C., McMillan, S., Milne, F., Milne, L., Morecroft, M., Murphy, M., Nelson, A., Nicholson, H., Pallett, D., Parry, D., Pearce, I., Pozsgai, G., Rose, R., Schafer, S., Scott, T., Sherrin, L., Shortall, C., Smith, R., Smith, P., Tait, R., Taylor, C., Taylor, M., Thurlow, M., Turner, A., Tyson, K., Watson, H., Whittaker, M. (2016). UK Environmental Change Network (ECN) Fine Grain Vegetation data: 1994-2012 . NERC Environmental Information Data Centre https://doi.org/10.5285/5a1efdfc-8f51-4ee9-9ed4-677bddd3f135
Data are collected at all of ECN's terrestrial sites using a standard protocol (http://www.ecn.ac.uk/measurements/terrestrial/v). In this protocol 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. Verification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset). Appropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.
Land Cover Map 2015 (25m raster, N. Ireland)
This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists of two bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target habitat classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019. Full details about this dataset can be found at https://doi.org/10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f
If you reuse this data, you should cite: Rowland, C.S., Morton, R.D., Carrasco, L., McShane, G., O'Neil, A.W., Wood, C.M. (2017). Land Cover Map 2015 (25m raster, N. Ireland). NERC Environmental Information Data Centre https://doi.org/10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f
The 25m raster product is the most detailed of the LCM2015 raster products, both thematically and spatially, and it is derived from the LCM2015 vector product. For LCM2015 per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster product consists of two bands: - Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes - Band 2 - mean per polygon probability as reported by the Random Forest classifier
Aquatic macrophyte transect data for the River Lambourn at Boxford 2009 to 2014
The dataset contains results from surveys recording the cover and area of aquatic macrophytes at four transects on the River Lambourn, collected monthly between March 11 2009 and September 30 2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn Observatory comprises a 600 m reach of river and 24 acres of associated water meadows at Boxford, Berkshire. The surveys were designed to provide an estimate of the area and cover of the three most common aquatic macrophytes and an estimate of the area of the wetted channel at four transects. The species recorded were Ranunculus penicillatus ssp. pseudofluitans (with Ranunculus penicillatus ssp. pseudofluitans x Ranunculus peltatus hybrid also present), Callitriche platycarpa (with some Callitriche obtusanglia) and Berula erecta. The four transects were selected in order to represent a combination of shallow/fast flowing areas and deeper/slower flowing areas, as well as shaded and unshaded reaches. Full details about this dataset can be found at https://doi.org/10.5285/37f0ab37-78f1-4ca6-b51f-950e43977b16
Ranunculus penicillatus ssp. pseudofluitans
If you reuse this data, you should cite: Scarlett, P.M., Old, G.H., Rameshwaran, P., Roberts, C. (2016). Aquatic macrophyte transect data for the River Lambourn at Boxford 2009 to 2014. NERC Environmental Information Data Centre https://doi.org/10.5285/37f0ab37-78f1-4ca6-b51f-950e43977b16
This resource is made available under the terms of the Open Government Licence
The surveys were designed to provide an estimate of the area and cover of the three most common aquatic macrophytes at four transects along the River Lambourn at Boxford. The species recorded were Ranunculus penicillatus ssp. pseudofluitans (with Ranunculus penicillatus ssp. pseudofluitans x Ranunculus peltatus hybrid also present), Callitriche platycarpa (with some Callitriche obtusanglia) and Berula erecta. The Ranunculus and Callitriche species were not identified to species level as this is frequently impossible without flowering material and because the study was more concerned with the quantitative characteristics of the aquatic macrophytes. The surveys were conducted monthly from March 2009 until October 2014 with one occurrence of missing data due to high flow which prevented accurate (and safe) surveying. When possible the surveys were timed to coincide with monthly hydraulic surveys reported elsewhere. The surveys were carried out at four transects distributed along the length of the CEH River Lambourn Observatory. These were selected in order to represent a combination of shallow/fast flowing areas and deeper/slower flowing areas, as well as shaded and unshaded reaches. At sites one to three the channel width is approximately 10m, but at the downstream site the width is nearer to 14m.
Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/18 over the Newbiggin Crag Area
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.
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.
Hydrographic and biogeochemical dataset from 'A thermocline nutrient pump', Celtic Sea, Summer 2010
The programme ‘A thermocline nutrient pump’ dataset comprises hydrographic, biogeochemical, biological and meteorological data. Hydrographic profiles, towed and underway measurements and point sources provided information on free-fall turbulence data, current velocities and acoustic backscatter, water column structure including temperature and salinity, the underwater light field, fluorescence and dissolved oxygen. A comprehensive biogeochemical water sampling programme provided details on nutrients, primary productivity, dissolved organic matter and phytoplankton pigments. Biological samples such as zooplankton were obtained from the water column using nets, and from the sea-bed using grabs. Bathymetry and meteorological parameters were measured across the study area. Data collection was undertaken in the Clyde Estuary, the Irish Sea and St Georges Channel and the Celtic Sea, including the territorial waters of the UK and the Republic of Ireland. The data were collected during the period 02 – 26 June 2010 during RRS Discovery cruise D352. Measurements were taken using a variety of instrumentation, including conductivity-temperature-depth (CTD) profilers with attached auxiliary sensors, bathymetric echosounders, water bottle samplers, nets, acoustic Doppler current profilers (ADCPs), remote access water samplers, towed undulators, free-fall turbulence profilers, temperature loggers, grabs and ship flow-through and meteorological packages. The project focused on the effects of wind stress at the sea surface, creating inertial oscillations and shear and mixing across the thermocline. The project also aimed to investigate the mixing in the context of supplying nutrients to the sub-surface layer of phytoplankton commonly seen within the shelf seas in summer, and to assess any possible shifts in the phytoplankton ecology as a response to the supply of nutrients. The programme ‘A thermocline nutrient pump’ was undertaken jointly by the School of Ocean Sciences, University of Wales Bangor and the Proudman Oceanographic Laboratory (POL), now the National Oceanography Centre, Liverpool (NOCL). CTD and Sea-Soar data from the programme are held at the British Oceanographic Data Centre. Other data have not yet been supplied.
Raw suspended particulate material concentration sensor output
Visible waveband radiance and irradiance measurements in the atmosphere
Nitrate concentration parameters in the water column
Dissolved total and organic nitrogen concentrations in the water column
Visible waveband radiance and irradiance measurements in the water column
Dissolved oxygen parameters in the water column
Silicate concentration parameters in the water column
Dissolved organic carbon concentration in the water column
Chlorophyll pigment concentrations in water bodies
Nitrite concentration parameters in the water column
Electrical conductivity of the water column
Dissolved total or organic phosphorus concentration in the water column
Phaeopigment concentrations in the water column
Transmittance and attenuance of the water column
Phosphate concentration parameters in the water column
Horizontal velocity of the water column (currents)
Unclassified pigment concentrations in sediment
Marine Environmental Data and Information Network
Natural Environment Research Council Designated Data Centres
Data are freely available to all following agreement to the terms and conditions of a Data Licence
Usage restrictions are specified in the terms of the licence
Data were collected on the RRS Discovery to look at the effects of wind stress at the sea surface and how mixing affects the supply of nutrients to sub-surface plankton communities on shelf seas in summer. Measurements were made in the Clyde Estuary, the Irish Sea and St Georges Channel and in the Celtic Sea in June 2010. Hydrographic measurements were made using CTD profiles, bathymetric echosounders, towed undulators, free-fall turbulence probes, towed temperature logger arrays and ADCPs. Water samples were taken using CTD bottles, nets and bed grabs. Meteorological measurements were made using the RRS Discovery ship meteorological package. The originators supplied the hydrographic data in processed form to BODC for ingestion, along with details on their processing methodologies and quality control procedures. BODC will ingest the data (seismic data excepted) into one of the schemas of the National Oceanographic Database (NODB). During ingestion, BODC undertake quality control, documentation and metadata enhancement procedures appropriate to the type of data. For a full overview, please see http://www.bodc.ac.uk/about/information_technology/data_processing_steps/. BODC supply full information about data collection, data processing and data quality with all data requests to enable users to assess data suitability themselves. Instrument(s) used to collect data: anemometers; fluorometers; current profilers; radiometers; CTD undulators; thermosalinographs; plankton nets; benthos samplers; atmospheric radiometers; salinity sensor; ADVs and turbulence probes; sediment grabs; autoanalysers; balances and scales; bench fluorometers; Differential Global Positioning System receivers; nutrient analysers; microstructure sensors; CTD; transmissometers; discrete water samplers; water body temperature sensor; current meters; dissolved gas sensors; meteorological packages.
Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015
This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb
If you reuse this data, you should cite: Jones, I.D., Feuchtmayr, H., Maberly, S.C. (2017). Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015. NERC Environmental Information Data Centre https://doi.org/10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb
Data from the automatic water quality buoy on Windermere South Basin are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2012 onwards. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.
Scanned images of primary Geological Data resulting from deep underground coal exploration and exploitation. Collection of data includes reports, interpretations and records of research in British coalfield areas deposited by the Coal Authority. Data for past and current collieries and for future prospects. The majority of the collection was deposited with the National Geological Records Centre by the Coal Authority in July 2001. The collection includes borehole site plans, borehole logs , analyses and geophysical data etc. A large percentage of this data will eventually be linked to existing collections.
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.
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.
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.
Scanned images of original British Coal deep mine data.
Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]
The dataset contains daily and monthly surface water, energy and carbon fluxes, and state variables for Great Britain over the period between 1961 and 2015. The data was obtained from a 55 years simulation with the JULES Land Surface Model, at 1 km spatial resolution and driven by the meteorological dataset CHESS-met v1.2 (Robinson et al., 2017; https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900). The data comes in both monthly (all variables) and daily (only variables with no z dimension) averages. The variables are: total evapotranspiration and components (kg m-2 s-1), runoff (kg m-2 s-1), surface temperature (K), soil moisture (kg m-2), soil temperature (K), snow mass (kg m-2). latent and sensible heat (W m-2), net and gross primary productivities (kg C m-2 s-1), plant respiration (kg C m-2 s-1). The z dimension may refer, if present, to tile (surface type), pft (plant functional type) or soil (soil layer). This simulation forms the basis for new research paper by Blyth et al (2017, under review). Full details about this dataset can be found at https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096
If you reuse this data, you should cite: Martinez de la Torre, A., Blyth, E.M., Robinson, E.L. (2018). Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]. NERC Environmental Information Data Centre https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096
Registration is required to access this data
This resource is made available under the terms of the CEH Noncomercial Licence
This data has been produced using the JULES land surface model (model version: vn4.5; branch r3488_albmar_spdm), at 1 km spatial resolution over Great Britain and driven by the CHESS-met v1.2 (Robinson et al., 2017; https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900). The simulation covers a total of 55 years (1961-2015). The model configuration (parameters and rest of input data) can be accessible through the MetOffice JULES repository (https://code.metoffice.gov.uk/trac/jules), on the Rose suite u-au394.
2011, Maersk Oil, UKCS 15/18d Site Survey, Site Survey, DECC Reference Number 2621
An oil and gas industry site survey acquired between September and November 2011. The block number traversed was 15/18d.
The metadata is freely available for general disclosure. The actual survey data is restricted.
This dataset was collected on behalf of Maersk Oil and reported by the licensee through the PON 14 regulation.
The exhumation history of the Himalayan orogen determined from Bengal Fan sedimentary record (IODP Leg 354) (NERC grant NE/N005287/1)
Thermochronological data from IODP Bengal Fan site 354. Grant abstract: The Himalayas are a type example of continent-continent collision, and resultant mountain building processes. Geologists can look at the rocks in the mountain belt itself to determine its evolution, but sometimes the evidence in the rocks in the mountain belt itself is obscured by later increases in the temperature and pressure that the rocks were subjected to, which overprints the evidence. Sediments eroded off the evolving Himalaya are deposited in the Bengal Fan, and these can provide an archive of the erosion of the history of the mountain belt through time which has not been obscured my later metamorphism, as the material was eroded and removed from the mountain belt prior to these later overprinting events. This project will analyse minerals that cooled as they were exhumed from deoth towards the surface in the mountain belt. The project will date the minerals to determine the time they cooled, and this will provide information on when the rocks were exhumed and how fast they exhumed, thus providing information on when and how fast the mountain belt grew.
NERC EDS Environmental Information Data Centre
NERC Earth Observation Data Centre (NEODC)
Airborne Research and Survey Facility (ARSF)
Oxygen and hydrogen isotope values of water samples, Jamaica (NERC grant NE/K00610X/1)
Surface waters and shallow groundwater samples were collected by completely filling 30 mL polyethylene bottles, which were then sealed with electrical tape to minimise the risk of evaporative loss. Rainwater samples were integrated samples of total monthly rainfall collected in a specially-adapted rainfall collector following IAEA protocols (IAEA http://www-naweb.iaea.org/napc/ih/documents/userupdate/sampling.pdf [accessed 22 June 2012). Stable isotopes of oxygen and hydrogen were determined simultaneously using a 'Picarro' WS-CRDS system at the University of Liverpool or the University of Cambridge. Jamaica, Parish of St Elizabeth. Wallywash Great Pond (lat: 17.9716°; long: -77.8068°) (lake water and groundwater samples) and Pon de Rock Guest House (lat: 17.9156°; long: -77.7973°) (rainwater samples). Refer to accompanying map for the precise location of the lake water sampling sites
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.
Surface waters and shallow groundwater samples were collected by completely filling 30 mL polyethylene bottles, which were then sealed with electrical tape to minimise the risk of evaporative loss. Rainwater samples were integrated samples of total monthly rainfall collected in a specially-adapted rainfall collector following IAEA protocols (IAEA http://www-naweb.iaea.org/napc/ih/documents/userupdate/sampling.pdf [accessed 22 June 2012). Stable isotopes of oxygen and hydrogen were determined simultaneously using a 'Picarro' WS-CRDS system at the University of Liverpool or the University of Cambridge.
British Geological Survey (BGS) Geophysical Survey 1994/4: The Wash (23/09/1994 to 29/09/1994)
Report: Brett, CP. 1994. LOEPS Wash Shallow Seismic Survey Operations Report: Project 94/04. BGS Technical Report WB/94/38 Surface Tow Boomer with TSS 360 Processor.
Geophysical equipment types used included: Surface Tow Boomer. 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.
2012, BG Group, Blake Infill, Semi-Sub Rig, DECC Reference Number 2740
An oil and gas industry site survey for a semi-sub rig acquired under licences P101, P729, P297 in May 2012. The block numbers traversed were 13/24a, 13/29b, 13/28a.
This dataset was collected by Gardline Geosurvey Ltd on behalf of BG Group and reported by Senergy through the PON 14 regulation. Data was collected using single beam echo sounder, multibeam echo sounder, side scan sonar, sub bottom profiler, high resolution seismic, grab samples, seabed photography and seabed video.
Pollinator effectiveness in oilseed rape (Brassica napus L.) in relation to behavioural and morphological characteristics
The number of pollen grains delivered to stigmas in a single visit by flower visitors (from insect orders Coleoptera, Hymenoptera and Diptera) to oilseed rape (Brassica napus L.) in southern England. Behavioural and morphological data were also recorded for a subset of visits to understand common traits which led to improved pollen delivery. These data were collected as part of Wessex BESS project, funded by the NERC Biodiversity and Ecosystem Service Sustainability research program. This dataset can be used in conjunction with other Wessex BESS datasets, in particular the landscape scale survey of pollinators. Full details about this dataset can be found at https://doi.org/10.5285/ee145769-2853-4a89-8aa6-c4a5149d07c0
If you reuse this data, you should cite: Shaw, R.F., Phillips, B.B., Williams, A., Bullock, J.M., Osborne, J.L. (2018). Pollinator effectiveness in oilseed rape (Brassica napus L.) in relation to behavioural and morphological characteristics. NERC Environmental Information Data Centre https://doi.org/10.5285/ee145769-2853-4a89-8aa6-c4a5149d07c0
Set protocols for field data collection and laboratory data collection were followed with datasheets provided for each collection type. Data were entered in MS Access and anomalous entries were checked for.
Motion-activated camera trap images of Eurasian Lynx in the Ukrainian Chornobyl Exclusion Zone, 2012-2018
Data comprise a catalogue of motion activated digital trap camera images of Eurasian Lynx (Lynx lynx (L., 1758)) obtained from motion-activated digital trap cameras located within the Chornobyl Exclusion Zone, Ukraine (CEZ) over multiple years (2012-2018). Images of Eurasian lynx obtained from the cameras are included as part of the dataset. The data were obtained from three research projects: (1) NatEnvPr - Studies conducted 2012–2018 (2) TREE - Studies conducted 2014–2016 and (3) RED FIRE - Studies conducted 2016–2017 The cameras for all projects were setup with the aim to capture images of medium-large mammals; the studies were not designed to obtain quantitative assessments of abundance and density of Eurasian lynx across the CEZ. No bait was used during any of the studies. Full details about this dataset can be found at https://doi.org/10.5285/c099d04e-72e0-4ee9-ac72-11dc004ec1f6
If you reuse this data, you should cite: Gashchak, S., Paskevych, S., Gulyaichenko, E., Vishnevskyi, D., Barnett, C.L., Beresford, N.A. (2022). Motion-activated camera trap images of Eurasian Lynx in the Ukrainian Chornobyl Exclusion Zone, 2012-2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/c099d04e-72e0-4ee9-ac72-11dc004ec1f6
This resource is available under the terms of the Open Government Licence
Most of the digital trap cameras used were Ltl Acorn 6210 MC; other models used were: Browning BTC5, Browning BTC-7FHD-PX, Bushnell 119437, Bushwhacker Big Eye D3, CCBetter, Covert Red40, Covert Red 40Ex, Ltl Acorn 5210A, Ltl Acorn 6210MG, ScoutGuard 880MK, ScoutGuard 882MK and Weltar 8210A. The available settings and capabilities of each camera were different. Images (and videos) of Lynx and camera metadata were downloaded from each camera memory card by the Chornobyl Center for Nuclear Safety. Using this information the Lynx Image catalogue was populated by the Chornobyl Center for Nuclear Safety and supplied to UKCEH as an MSExcel file; a separate MSExcel file containing camera details and site descriptions etc. was also provided. The same person from the Chornobyl Center recorded all descriptive parameters. All images and videos were provided to UKCEH as .jpg; .mov; .avi and .mp4 files respectively. For quality control purposes a member of UKCEH staff ensured images of the Eurasian lynx observed were provided (or where this was not possible this was noted in the image catalogue). Any queries regarding the image catalogue and site descriptions were also investigated.
The National Academy of Sciences of Ukraine
Chornobyl Radiation and Ecological Biosphere Reserve