(My organization)
Continents, countries, sea regions of the world.
1999 Strategic Environmental Assessment SEA1 RRS Charles Darwin (119C) SEA1 Survey Leg 1 (or A) seabed survey (Faroe Shetland Channel)
1999 SEA1 (White Zone) - TOBI surveys of the Wyville-Thomson Ridge and the eastern slope of the Faeroe-Shetland Channel carried out during the Department of Trade and Industry's (now Department of Energy and Climate Change) Strategic Environmental Assessment SEA1. This preliminary report describes the data collection and interpretation carried out by Southampton Oceanography Centre in the summer of 1999. The work was carried out in two survey legs, Leg A was a regional side-scan sonar survey, whilst leg B was a seafloor survey of targets selected from the results of leg 1. This preliminary report is presented in 4 sections: Section 1 - Cruise report for Leg A; Section 2 - Cruise report for Leg B; Section 3 - Regional environmental interpretation from side-scan sonar and camera data; Section 4 - Initial environmental assessment. Raw data and the survey report are available.
Report prepared by Southampton Oceanography Centre (SOC) as part of the UK Department of Energy and Climate Change's Offshore Energy Strategic Environmental Assessment programme. Preliminary image processing was carried out on board, producing sidescan mosaics at a scale of 1 :50,000. Sidescan and profile data were then combined into an integrated interpretation. Although TOBI is primarily a sidescan sonar vehicle a number of other instruments are fitted to make use of the stable platform provided by TOBi. For this survey the instrument compliment was: 30 kHz sidescan sonar (Built by SOC); 7.5 kHz pro filer (Built by SOC); Three axis fluxgate magnetometer. (Ultra Electronics Magnetics Division MB5L); CTD (Falmouth Scientific Instruments Micro-CTD); Pitch and Roll sensor (G + G Technics ag SSY0091)
https://catalogue.ceda.ac.uk/uuid/193c9af2f0d94ce88fc6495aca777796 193c9af2f0d94ce88fc6495aca777796
FAAM B851 SUMEX flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for SUMEX-14: Met Office Summer Campaign, 2014 project.
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 were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.
IODP Survey of the "Shackleton sites" on the Southwest Iberian Margin NERC grant NE/J00653X/1
Advances in our understanding of the Earth's climate system will rely on our ability to link high-resolution sedimentary archives from the oceans, ice-cores and terrestrial sequences, and to interpret these records in the context of novel Earth system modeling approaches. Few places exist in the world where sufficiently detailed and unambiguous marine-ice-terrestrial linkages are possible. One challenge for IODP, and the broader drilling community in general, is to identify and recover marine, ice and terrestrial sequences from appropriate locations and with adequate temporal resolution to study processes of the integrated climate system. One such region is the southwest Iberian Margin where it has been demonstrated that the surface oxygen isotopic record could be correlated precisely to temperature variations (i.e., d18O) in Greenland ice cores. By comparison, the benthic d18O signal in the same core resembled the temperature record from Antarctica. Moreover, the narrow continental shelf and proximity of the Tagus River results in the rapid delivery of terrestrial material to the deep-sea environment off Portugal, thereby providing a record of atmospheric changes and permitting correlation of marine and ice core records to European terrestrial sequences. This is the only place in the ocean where such marine-ice-terrestrial correlations have been demonstrated unambiguously. It is therefore highly desirable to extend the Iberian Margin record to encompass the full range of Plio-Pleistocene glacial-interglacial cycles by drilling with the JOIDES Resolution (JR). Towards this end, Proposal 771-Full was submitted to IODP by an international group of 16 proponents led by the UK. The proposal was well received and reviewed by the Science Steering and Evaluation Panel (SSEP), but the IODP Site Survey Panel (SSP) identified major inadequacies in the quality of the seismic data: "The panel raised several concerns on the suitability of the submitted data with regard to its appropriateness, both to image the target properly and with regard to the site location. The panel also discussed the need for 2 high-resolution lines and considered that places where Mass Transport Deposits (MTDs) or closely spaced faults were present deserved these 2 high-resolution lines." This proposal requests 25 days of ship time to collect the necessary seismic and sediment data needed to meet the SSP requirements and recommendations. Several "stand-alone" scientific objectives are also proposed related to the modern hydrography and sedimentary processes on the southwest Iberian Margin, and calibration of palaeoceanographic proxies used for reconstructing past changes in deep-water circulation. This value-added science will make effective use of ship time and contribute key information needed to interpret the downcore records to be obtained by IODP.
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
There are no restrictions on the use that may be made of the dataset, although an appropriate copyright acknowledgement must be made when any part of the dataset is reproduced. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner of any third party data / information contained in the dataset to make the dataset freely available without any use constraints - inclusion of any third party data / information will affect the copyright acknowledgement that needs to be made.
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 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.
Lineage information may be available in the cruise report https://www.bodc.ac.uk/data/information_and_inventories/cruise_inventory/report/13392/
https://catalogue.ceda.ac.uk/uuid/aa987e079219499aa6ab4f7795f07303 aa987e079219499aa6ab4f7795f07303 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.AERmonZ.ta.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.hus.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rlut.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rlutcs.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rsdscs.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rsdt.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rsuscs.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rsut.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.rsutcs.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.ta.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.Amon.ts.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.CFmon.hus.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.CFmon.ta.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.day.rlut.gn.v20190710.v20190710 CMIP6.RFMIP.MPI-M.MPI-ESM1-2-LR.piClim-ghg.r1i1p1f1.fx.sftlf.gn.v20190710.v20190710
WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the "piClim-ghg" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the "effective radiative forcing by present-day greenhouse gases" (piClim-ghg) experiment. These are available at the following frequencies: AERmonZ, Amon, CFmon, day and fx. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
Public data: access to these data is available to both registered and non-registered users.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified 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 were produced and verified by Max Planck Institute for Meteorology (MPI-M) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
Orthomosaic imagery for the South Saskatchewan River, Canada
Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately 1500m from a fixed-wing aeroplane with an UltraCamXp sensor. Imagery was obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight orthomosaics; one for each of the two river sections on each of the four dates. Images were collected as part of NERC project NE/L00738X/1. Full details about this dataset can be found at https://doi.org/10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5
If you reuse this data, you should cite: Ashworth, P., Nicholas, A., Parsons, D., Sambrook Smith, G. (2019). Orthomosaic imagery for the South Saskatchewan River, Canada. NERC Environmental Information Data Centre https://doi.org/10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5
This resource is available under the terms of the Open Government Licence
This dataset consists of geolocated aerial orthomosaics of the South Saskatchewan River, near Outlook Canada (UTM Easting and Northing coordinates: 356500, 5712400; Latitude and Longitude: 51.5 N, 107.07 W). Photography was acquired to provide high resolution imagery of the river bed and surrounding valley floor on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017) and for two separate sections of the river. Images were obtained using conventional aerial plane photography with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. The orthomosaic was generated from the aerial photography (using up to 160 individual images for each orthomosaic) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the ‘large frame’ supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. The orthomosaic image file includes UTM Easting and Northing coordinates that can be viewed by opening the image in a GIS or other image handling software.
Ostracod assemblage data from Wallywash Great Pond, Jamaica (NERC Grant NE/K00610X/1)
Ostracod species assemblages from Core WAGP taken from Wallywash Great Pond, Jamaica. Values are numbers of valves per gram of dry sediment and are presented by depth in core. A chronology for the core is also provided by radiocarbon dates and short-lived radio-isotopes. The data provide a proxy for changing hydroclimate, lake-level and carbon cycling in the lake and its catchment for the period 2000 – 200 CE
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Samples of 1 cm stratigraphic thickness were taken from selected levels in core WAGP, dispersed in tap water and sieved through a 250 µm mesh. The > 250 µm residues were oven dried at 40 ?C and ostracod shells picked from the dried, coarse fractions under a low-power binocular microscope. Although similar amounts of sediment were processed for each level, exact weights were not recorded. Separate samples were therefore subsequently weighed, processed in the same way as the original sample and the ostracod content counted to estimate ostracod concentrations in valves per gram of dry sediment. These data were then used to estimate the concentration of each species, in valves per gram of dry sediment, which are the values presented here.
VOLCano ANalogues Search (VOLCANS) datasets used to parameterise the Aluto event tree model (NERC Grant NE/L013460/1)
Electronic Supplementary Material: "Event trees and epistemic uncertainty in long-term volcanic hazard assessment of rift volcanoes: the example of Aluto (Central Ethiopia)", by Tierz, P., Clarke, B., Calder, E. S., Dessalegn, F., Lewi, E., Yirgu, G., Fontijn, K., Crummy, J. M., and Loughlin, S. C., submitted to Geochemistry, Geophysics, Geosystems. The datasets contain volcanological data on analogue (i.e. similar) volcanoes of Aluto volcano (Ethiopia), including conditional probabilities of eruption size, number of eruptions with specific volcanic phenomena reported and values of volcano analogy calculated using the VOLCano ANalogues Search tool (VOLCANS, Tierz et al., 2019, https://doi.org/10.1007/s00445-019-1336-3). These type of data can be used to parameterise event tree models (e.g. Newhall and Hoblitt, 2002, https://doi.org/10.1007/s004450100173; Marzocchi et al., 2010, https://doi.org/10.1007/s00445-010-0357-8) and, thus, quantify volcanic hazard at a particular volcano of interest, including the relevant sources of uncertainty. The production of the datasets was supported by the UK Natural Environment Research Council project: Rift Volcanism: Past, Present and Future (RiftVolc). Grant NE/L013460/1.
Data were derived using the objective, data-driven method to identify analogue volcanoes: VOLCANS (VOLCano ANalogues Search), presented by Tierz et al. (2019): https://doi.org/10.1007/s00445-019-1336-3
Forest inventory and lightning strikes data from Ankasa Conservation area, Ghana, 2018-2021
This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021. We investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data. Full details about this dataset can be found at https://doi.org/10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003
If you reuse this data, you should cite: Adu-Bredu, S., Stivanello, S., Duah-Gyamfi, A., Addo-Danso, S., Dabo, J., Ibrahim, F., Manu, E.A., Ametsitsi, G., Streher, A.S., Feldpausch, T., Hill, T. (2024). Forest inventory and lightning strikes data from Ankasa Conservation area, Ghana, 2018-2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003
For each tree measured in the forest inventory, we installed a custom-made Rogowski Coil sensor, that was designed and tested by the Cardiff Morgan Botti lightning laboratory, to record if a tree was struck by lightning, without damaging the tree or altering the tree's electrical resistance. The Rogowski Coil is a non-contact sensor commonly used to measure alternating and impulse current flowing through the axis of the coil (in our case, down the tree). A quick visual check of the fuse allows us to see if the tree was struck by lightning. In addition to tree stem measurements, in each census, we also took notes on the general state of the coil and fuse, and the electrical conductivity was measured. Trees struck by lightning (e.g. with the fuse blown or melted) were identified at the species level and any lightning-associated damage to the tree (e.g. marks in trunks, broken branches, canopy dieback) and in the surroundings (e.g. canopy gaps, sapling mortality) was documented.
1293033818673 https://catalogue.ceh.ac.uk/id/b7cfc0ce-304a-4d69-bb1a-6fd8eb92cdae
Rainfall, throughfall and stemflow for beech and ash stands in temperate English deciduous woodlands
Water quality data produced from rainfall, throughfall and stemflow samples collected within a beech stand at Black Wood in Hampshire, and an ash stand at Old Pond Close in Northamptonshire. Two studies were carried out in the early 1990s to examine water quality in relation to hydrological and pollution changes. Chemical analysis involved a combination of electrometric (pH), inductively-coupled plasma emission spectroscopy (most major, minor and trace elements), atomic absorption spectroscopy (potassium), ion chromatography (major anions and fluorine) and colourimetry (ammonium and silicon).
This resource is made available under the terms of the Open Government Licence
Individual samples were collected in clean 2 litre polypropylene bottles. The bottles were cleaned by soaking in 5% v/v hydrochloric acid overnight and then rinsed several times in distilled water. The bottles were air-dried prior to use. On return to the laboratory, any replicate samples of precipitation were combined, as were replicate samples of throughfall. The combined samples were weighed to calculate the total volume of precipitation and throughfall catch. The combined precipitation, combined throughfall, net precipitation and stream water samples were then altered using 0.45-micrometer membranes on the day of sampling, prior to analysis. Chemical analysis involved a combination of electrometric (pH), inductively-coupled plasma emission spectroscopy (most major, minor and trace elements), atomic absorption spectroscopy (potassium), ion chromatography (major anions and fluorine) and colourimetry (ammonium and silicon. The study was a joint Environment Agency (then the National Rivers Authority) and CEH science-budget funded project concerning the hydrological impacts of broad-leaf woodland and their implications for water use and water quality. The water quality measurements were taken and collated within the science budget component by CEH staff.
Riverine nitrogen gas production by anaerobic ammonium oxidation across contrasting geologies
This dataset contains anaerobic ammonium oxidation (anammox) and denitrification activity of riverine sediments in the Hampshire Avon catchment (UK). Nine rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. Data were obtained via laboratory incubations (potential data) and direct, field-based measurements (in situ data) in summer 2013. Also included are chemical parameters determined in porewaters prior to in situ rate measurements. Full details about this dataset can be found at https://doi.org/10.5285/d1b08279-68a8-4d93-afa2-576e903cc04d
Please cite Lansdown, K., McKew, B.A., Whitby, C., Heppell, C.M., Dumbrell, A.J., Binley, A., Olde, L. and Trimmer M. Importance and controls of anaerobic ammonium oxidation influenced by riverbed geology. Nature Geosci. doi:10.1038/ngeo2684 (2016).
If you reuse this data, you should cite: Lansdown, K., Heppell, C.M., Trimmer, M. (2016). Riverine nitrogen gas production by anaerobic ammonium oxidation across contrasting geologies. NERC Environmental Information Data Centre https://doi.org/10.5285/d1b08279-68a8-4d93-afa2-576e903cc04d
All data were generated by the authors. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We also ensured measured values fit within those of calibration standards and, if necessary, re-analysed samples diluted to fall within the calibration range. For data generated via mass spectrometry, beam areas of all measured mass-to-charge ratios were corrected for drift offline using control standards. All data were checked to ensure reported values were above the detection limit of the method. All calculations were checked for errors before data was accepted.
Strategic Environmental Assessment (SEA) data portal
Flight summary file for FAAM BAE-146 flight B851
Flight track for FAAM BAE-146 flight B851
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the piClim-ghg run with MPI-ESM1-2-LR model.
Detailed experiment description for: "effective radiative forcing by present-day greenhouse gases" (piClim-ghg)
Official CMIP6 DOI Citation: Fiedler, Stephanie, et. al. (2019). MPI-M MPI-ESM1.2-LR model output prepared for CMIP6 RFMIP piClim-ghg. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6663
Department for Energy and Climate Change (DECC)
NCAS British Atmospheric Data Centre (NCAS BADC)
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)
Centre for Environmental Data Analysis (CEDA)
Max Planck Institute for Meteorology (MPI-M)
NERC EDS Environmental Information Data Centre
Urban hydro-meteorological observation data 2016-2018 for Ouagadougou, Burkina Faso
This dataset represents the hydro-meteorological monitoring activities undertaken in Ouagadougou, Burkina Faso, during 2016-2018, as part of the DFID funded AMMA-2050 (African Monsoon Multidisciplinary Analysis) project (amma2050.org). The data comprises time series of rainfall, water level and river flow recorded at locations across Ouagadougou city for the purposes of building an understanding of hydrological function and hydrological model development. In-situ data were collected using tipping bucket raingauges and pressure level sensors, with spot gauging of river flows used to develop rating curves used to derive flow from level measurements in channels. The network was designed and set-up by the UK Centre for Ecology and Hydrology (UKCEH) and maintained by the Institut International D'ingénierie De L'eau Et De L'environnement (2iE) and processing was undertaken by UKCEH. Full details about this dataset can be found at https://doi.org/10.5285/30ae0230-e352-4a82-901d-ac1d42449044
African Monsoon Multidisciplinary Analysis (AMMA-2050)
If you reuse this data, you should cite: Miller, J.D., Fowe, T., Coulibably, G. (2020). Urban hydro-meteorological observation data 2016-2018 for Ouagadougou, Burkina Faso. NERC Environmental Information Data Centre https://doi.org/10.5285/30ae0230-e352-4a82-901d-ac1d42449044
Flow data were derived from monitored depths during storm events using the derived ratings for each location, whereby flow is a function of depth and velocity, and velocity data were obtained from spot gauging during storms that occurred in the wet seasons over 2016-2017. Erroneous measurements were removed after visual inspection of the rating curve. Final rating curves linking depth to flow were derived for each site and applied to time series depth data to derive a time series of flow. Rainfall and dam level data were visually inspected to remove erroneous values
The Pantheon database: habitat related traits, conservation status and taxa associations for invertebrates in England
The Pantheon database contains habitat-related traits, feeding guilds, conservation status (including rarity and threat status), legal protection data and associations with other taxa for just over 11,700 invertebrates. The database has been developed for invertebrates within England so the data should be used with caution when applying it to invertebrates of other countries. The data have been extracted from numerous sources within the published literature and compiled and categorised by entomological experts over a number of years. The database also includes (and supersedes) species assemblage types (SATs) from the Invertebrate Species-habitat Information System (ISIS). Species names have been linked with the Taxon Version Key (TVK; unique identifier) from the UK Species Inventory, held by the Natural History Museum, where possible. Overall the database holds 154,072 records. The database was developed by Natural England and the Centre for Ecology & Hydrology as part of a development of online analytical tools to benefit invertebrate conservation and site assessments. Full details about this dataset can be found at https://doi.org/10.5285/2a353d2d-c1b9-4bf7-8702-9e78910844bc
© Natural England, UK Centre for Ecology & Hydrology
If you reuse this data, you should cite: Webb, J., Heaver, D., Lott, D., Dean, H.J., van Breda, J., Curson, J., Harvey, M.C., Gurney, M., Roy, D.B., van Breda, A., Drake, M., Alexander, K.N.A., Foster, G. (2017). The Pantheon database: habitat related traits, conservation status and taxa associations for invertebrates in England. NERC Environmental Information Data Centre https://doi.org/10.5285/2a353d2d-c1b9-4bf7-8702-9e78910844bc
Data were extracted from the published literature, including journal papers, books and websites. Whilst some of these sources may not have been peer reviewed they have been available for public scrutiny. The extracted data was compiled and categorised by expert entomologists, and second opinions sought where there was uncertainty in the categorisation. The trait names and hierarchy design were peer reviewed by a range of invertebrate experts. During the review, they were also able to comment on and amend species traits allocations if they considered them incorrect. Any changes were approved by the Pantheon project and steering group before implementation.
Terrestrial laser scanning data Wytham Woods: leaf-off raw data 2015/16
This dataset is comprised of terrestrial laser scanning (TLS) data collected at the Wytham Woods, Oxfordshire during the winter period of 2015/16 when leaves were off the deciduous trees. The data underpins the study into laser scanning potential underestimation of biomass carbon in a temperate forest. TLS data were collected on a 20 m x 20 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. Scan data were coregistered using the RiSCAN Pro software package, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory
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.
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
NERC EDS Centre for Environmental Data Analysis