(My organization)
Continents, countries, sea regions of the world.
Waterlines delimiting the edge of the Hunga Tonga - Hunga Ha'apai island between April 2017 and April 2022 (NERC Grant NE/X002454/1)
Waterlines have been extracted to delimit the edge of the Hunga Tonga - Hunga Ha'apai island between April 2017 and April 2022. Waterline is defined as the instantaneous land - water boundary at the time of the imaging process. Waterlines have been generated by BGS - Earth Observation team through a thresholding-based classification based on Sentinel-2 multispectral imagery and developed on Google Earth Engine. Specifically, the thresholding has been applied to the Normalized Difference Water Index (NDWI) has been derived as a basis to discriminate between the land and sea based on their spectral characteristics. Changes in waterlines over volcanic islands can provide key information to understand volcanic processes. For more info on the methodology, see Novellino et al. (2020) https://doi.org/10.3390/app10020536
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
The Sentinel-2 images used as input to the workflow comprised Level-1C image products. These are composed of 100 × 100 km2 tiles that are ortho-images in cartographic geometry according to the UTM/WGS84 projection, with radiometric corrections applied to convert each pixel value from the digital number (DN) to Top of Atmosphere (TOA) reflectance. We use median values within a month period, pending availability of the data due to cloud coverage. The remaining images have been thresholded based on the Normalized Difference Water Index (NDWI) is used to as a basis to discriminate between the land and sea based on their spectral characteristics. Methodology is described in detail in Novellino et al., (2021) at https://doi.org/10.3390/app10020536
The BGS collection of archived video recordings
The BGS collection of downhole CCTV (Closed Circuit Television) recordings and backup tapes for worldwide SKYLAB satellite imagery. CCTV recordings carried out down boreholes, mainly drilled for water, were undertaken by BGS for specific commercial contracts in Great Britain, and may also have associated geophysical data. The collection started in 1997, and the present holdings are 138 videos, with infrequent additions. Video recordings on other topics may be added.
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.
Subject to usual BGS terms and conditions. Copyright and other commercial restrictions may apply.
Data collected by BGS as a result of commercial contracts.
https://catalogue.ceda.ac.uk/uuid/3711b9bf3ea94f8fb8e1da4df7907f0b 3711b9bf3ea94f8fb8e1da4df7907f0b
Coupled Ocean Atmosphere and European Climate (COAPEC): Southampton Oeanographic Centre (SOC) Climatology data
The Coupled Ocean Atmosphere and European Climate (COAPEC) is a NERC thematic programme designed to examine the variability of the Earth's climate. The goal of COAPEC is to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere. The British Atmospheric Data Centre (BADC) is the primary distribution data centre for COAPEC. This dataset contains climatology data from the Southampton Oceanographic Centre (SOC).
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic 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.
To aid researchers within the Coupled Ocean Atmosphere and European Climate (COAPEC) programme, datasets have been retrieved from a variety of coupled models including: The 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive at the BADC; The data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM (Unified Model) version 4.5 at the BADC has recently been included in the archive.
Prints, both negatives and positives of satellite imagery of the UK/World.
The database contains colour and black and white prints and negatives of satellite images of the UK and various locations scattered around the world. It includes data from the Landsat, SPOT, Radarsat and ERS satellites. Negatives include single scenes and subsampled mosaics.
Data are subject to copyright restrictions. Copyright must be acknowledged if used in publications or presentations. Available to BGS and NERC researchers and external users under license within copyright restrictions
Imagery from different sensors is processed in different ways. Most are filtered and edge-enhanced. A print is written to disk and sent to a lab for printing. A print and negative is returned and filed in the remote sensing section.
ARSF Flight 2012_208 - for RG12_10: Hyperspectral Remote Sensing Measurements
Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARSF RG12_10 project (flight reference: 2012_208). Data were collected over the Milton Keynes, UK area.
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 Centre for Environmental Data Analysis (CEDA).
Hydrographic data profiles collected by a conductivity-temperature-depth (CTD) sensor package during RRS James Clark Ross cruise JR19960720 (JR14)
The dataset comprises 27 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the Greenland Sea and the North East Atlantic Ocean (limit 40W) areas specifically the main Greenland Sea Gyre, during July and August of 1996. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the University of East Anglia School of Environmental Sciences.
Natural Environment Research Council Designated Data Centres
Marine Environmental Data and Information Network
Data are freely available to all following agreement to the terms and conditions of the British Oceanographic Data Centre Data Licence. The licence terms and conditions are available via https://www.bodc.ac.uk/data/documents/nodb/267795/
Usage restrictions are specified in the terms of the licence
This dataset was collected by the originators and provided to the British Oceanographic Data Centre (BODC). Data have undergone BODC quality control procedures described in https://www.bodc.ac.uk/data/documents/nodb/63428/ prior to long term archive and management. Further information about data collection, data processing and data quality reports are linked to the individual profile references in the cruise metadata document linked to this metadata record.
Elastic Coulomb stress change models for Preston New Road PNR-1z hydraulic fracturing (NERC Grant NE/R018006/1)
This dataset is a catalogue of elastic stress models of hydraulic fracturing during the 2018 Preston New Road, PNR-1z operations (described in Clarke et al., 2019). This modelling was produced for the publication Kettlety et al. (2020), which studies the physical mechanisms controlling seismicity during hydraulic fracturing. For further details on the modelling approach and context for these data, see Kettlety et al. (2020) and the README file attached here.
The modelling was conducted using the code PSCMP of Wang et al. (2006). This code requires an input file, which describes the location and size of the sources of dislocation in the subsurface (i.e, a fault slipping or fracture opening). Further details are provided in the README file.
Sample Locations for Thermochronometric Analysis of Recent deformation across the Basin and Range (NERC Grant NE/N015479/1)
Locations of samples collected to constrain the recent activity on normal faults across Nevada. The geological samples will be used to measure the amount of exhumation that different normal faults of the Basin and Range experienced over the last 5 million years. The samples have been collected from granitic rocks that are expected to yield apatite crystals. (Uranium-Thorium)/Helium thermochronometry will be conducted on these samples to determine the cooling history of rocks from temperatures of approximately 70 degrees celsius. The samples are collected across Nevada at locations close to the fault to determine the most recent stages of exhumation. The ranges sampled are the Wassuk Range, White Range, Toiyabe Range, South Egan Range, Schell Range, Wheeler Range, House Range, Wasatch, Deep Greek, Ruby Range, Cortez Range, Humbolt Range, Dixie Valley, and Carson Range. Samples weigh approximately 2kg each. This sample coverage will constrain extension rates across the Basin and Range which is of interest to geologists, geodynamicists, and researchers interested in fault hazard.
The locations of sampling sites were selected based on preliminary modeling to determine which locations will reveal the most about recent deformation. Samples were collected by driving to the footwall of normal faults and hiking to locations that contained granitic rocks suitable for sampling. The samples were stored in plastic bags and securely sealed with duck tape. They were transported back to the UK in hold luggage. The samples are in the process of being crushed so that grains of apatite can be extracted from the granite.
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
This resource is made available under the terms of the Open Government Licence
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.
https://catalogue.ceda.ac.uk/uuid/514e5dfbef651f336862ae5ca0424e86 514e5dfbef651f336862ae5ca0424e86
AATSR: Sea Surface Temperature Meteo Product (ATS_MET_2P), v2.1
Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Spatially Averaged Sea Surface Temperature Product for Meteo Users. These data are the Level 2 product designed for the use by meteorological offices derived from Level 2 AST product. The product contains only the sea surface temperature with spatial resolution of 10 arc minutes. It also contains Average Brightness Temperature (ABT) fields, which includes brightness temperature and TOA sea record on the same spatial resolution. Like the AST product this product is derived from, all areas contains data, where the land pixels have empty data, and the coasts containing averages derived only from the sea pixels in the cell. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files.
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/missing_licence.pdf, appropriate use of these data may fall under unstated use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.
NERC Airborne Research Facility (NERC ARF) Website
BODC Cruise Metadata Report for James Clark Ross Cruise JR19960720 (JR14)
NCAS British Atmospheric Data Centre (NCAS BADC)
Natural Environment Research Council (NERC)
Centre for Environmental Data Analysis (CEDA)
NERC Airborne Research and Survey Facility (ARSF)
University of East Anglia, School of Environmental Sciences
NERC EDS Environmental Information Data Centre
NERC Earth Observation Data Centre (NEODC)
The oceanographic dataset collected during the research cruise identified as CD59 on board the RRS Charles Darwin
This dataset comprises 18 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during May - June 1991 from stations in the North Atlantic between approximately 37 - 55 N, 12 - 35 W. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the University of Liverpool Department of Earth Sciences as part of the UK's contribution to the World Ocean Circulation Experiment (WOCE).
Silicate concentration parameters in the water column
Phaeopigment concentrations in the water column
Chlorophyll pigment concentrations in water bodies
Phosphate concentration parameters in the water column
Nitrate concentration parameters in the water column
Transmittance and attenuance of the water column
Data are freely available to all following agreement to the terms and conditions of the Open Government Licence. The licence terms and conditions are available via https://www.bodc.ac.uk/data/documents/nodb/267809/
Borehole data from SAFIRE drill site, Store Glacier, Greenland. (NERC grant NE/K006126/1)
2014 and 2016 time series of basal multiprobe data (Dataset 1), englacial temperature data (Dataset 2), and englacial tilt data (Dataset 3) measured in boreholes drilled at the location of the SAFIRE research project, Store Glacier, Greenland.
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.
All data are recorded by a Campbell Scientific CR1000 datalogger mounted at the glacier surface. Methods are presented by: Doyle, S. H., Hubbard, B., Christoffersen, P., Young, T. J., Hofstede, C., Bougamont, M., . . . Hubbard, A. (2018). Physical Conditions of Fast Glacier Flow: 1. Measurements From Boreholes Drilled to the Bed of Store Glacier, West Greenland. Journal of Geophysical Research: Earth Surface, 123, 1 - 25. doi:10.1002/2017JF004529
Arctic Cloud Summer Expedition (ACSE): wave statistics, wave spectra and raw buoy displacement data from the University of Leeds Datawell DWR-G4-Waverider buoy deployed from the Icebreaker Oden
This dataset contains derived wave statistics, directional wave spectra and raw buoy displacement data from the University of Leeds Datawell DWR-G4-Waverider buoy deployed from the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record. The buoy was deployed on numerous occasions during the voyage, including multiple deployments per day (the deployment number during the day is given in the filename following the date of deployment). However, some deployments are omitted from the archive where significant problems with the raw data were found (failure to obtain GPS lock; too-short a deployment, etc.). The deployment number for the day has been maintained to coincide with the buoy's deployment logs. Data are truncated to remove the deployment and recovery. No further quality control has been applied to the data. The raw displacement timeseries data contains raw buoy displacements (up, north, west) from which the spectra were calculated. The spectra were calculated as 10-minute averages. The methodology used is detailed within the files, but include both raw (quite noisy) and smoothed spectra. The overall wave statistics file contains all wave statistics data obtained during the voyage (significant wave height, spectral peak details, etc, along with the spectral moments from which the stats are calculated). These are all given for each spectrum as a whole, and partitioned into windsea and swell components. References to the techniques used to produce these statistics are given in the file. The Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat. ACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud. The UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.
Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.
GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model
This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). The 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1. The supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files. The data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble. Full details about this dataset can be found at https://doi.org/10.5285/4e8f3459-4101-4c85-a598-80b3c739f580
Integrated Model Of Global Effects of climatic aNomalies
Please be aware that this dataset should be considered to be a beta product
If you reuse this data, you should cite: Zelazowski, P., Huntingford, C., Mercado, L.M., Schaller, N. (2016). GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model. NERC Environmental Information Data Centre https://doi.org/10.5285/4e8f3459-4101-4c85-a598-80b3c739f580
The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land. This calibration is a "beta" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a "beta" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building.
2005 Strategic Environmental Assessment SEA6 Technical Report - Assessment of the Status of Horse Mussel (Modiolus Modiolus) Beds in the Irish Sea off NW Anglesey
This report is a contribution to the Strategic Environmental Assessment (SEA6) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). This report is an assessment of the status of the beds of the Horse Mussel Modiolus modiolus on the tide swept sea floor off north and northwest Anglesey, based on three short cruises of the RV Prince Madog during January - March 2005. In some places Modiolus forms dense beds that can carpet the sea floor and build up as reef-like features or bioherms. Side-scan sonar, sampling with grabs or dredges, and sledge mounted cameras were used to investigate the seabed. Modiolus was found, in sufficient abundance to be considered as 'beds', at four localities within the area surveyed. Modiolus beds are of considerable conservation interest, coming within the 'reef' category of the EU Habitats Directive, and they are listed under OSPAR. Modiolus beds are known to be highly vulnerable to physical disturbance; once destroyed, beds do not seem to recover naturally in the medium term. In addition to describing the occurrences of Modiolus and analysing the specimens sampled, the epifauna associated with them and other benthos in their vicinity are described.
Fauna abundance per unit area of the bed
The report was prepared by Professor E. I. S. Rees as part of the UK Department of Energy and Climate Change's Offshore Energy Strategic Environmental Assessment programme. Over the course of three short cruises with RV Prince Madog in the January - March 2005 period, side-scan sonar, sampling with grabs or dredges and sledge mounted camera deployments were used to investigate the seabed. The side-scan sonar used was a Cmax 800 digital system operated on the high frequency setting (325kHz). The grab used was a modified long-arm stainless steel Van-Veen grab. Much of the seabed sampling was done with a small Tjarno pattern dredge. The whole of each sample was then washed on a 5mm mesh screen. The UWTV used is based on a Rovtech Systems 'Seacam' recording on the ship onto a Sony Digital 8 recorder. Two 20 watt lights are powered through the 200m umbilical cable. The still camera system comprised a Photosea 1000 35mm camera and a 150 watt strobe controlled by a separate electronic timer unit.
Rheology of three-phase suspensions (NERC grant NE/K500999/1)
The data consists of a spreadsheet containing rheology data for 39 samples of syrup, containing air bubbles and/or spherical glass particles. These data were used by Truby et al. (2014) to support a model for the rheology of a three-phase suspension. Each sample was placed in the rheometer (concentric cylinder geometry), and the stress was stepped up and then down, taking a measurement of strain rate at each step. Further details of the experiments may be found in Truby et al. (2014). NERC grant is NE/K500999/1. Co-author working with a NERC grant, NE/G014426/1.
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.
Each sample was placed in the rheometer (concentric cylinder geometry), and the stress was stepped up and then down, taking a measurement of strain rate at each step.
The Fourier Transform Infrared Spectroscopy (FTIR) spectra of poly(hydroxybutyrate)-based systems with clay additives changing crystallisation kinetics recorded at ambient temperature
The dataset contains spectra of Poly(hydroxybutyrate) – PHB – systems performed at ambient temperature. The data was collected using Fourier Transform Infrared Spectroscopy (FTIR), using two types of clay (10A and 25A) that act as a nucleating agent in polymer matrix. Full details about this dataset can be found at https://doi.org/10.5285/6b29f79b-c534-40f2-bbb1-8b4dbb397af2
If you reuse this data, you should cite: Majerczak, K., Liggat, J.J. (2025). The Fourier Transform Infrared Spectroscopy (FTIR) spectra of poly(hydroxybutyrate)-based systems with clay additives changing crystallisation kinetics recorded at ambient temperature. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/6b29f79b-c534-40f2-bbb1-8b4dbb397af2
This resource is available under the terms of the Open Government Licence
The data was collected using an FTIR spectrometer at University of Strathclyde. The sample was prepared by melting it between two Kapton sheets, using an aluminium oval mould. Then, the sample was placed in liquid nitrogen and placed at the FTIR stage equilibrated at ambient temperature. The FTIR spectra were collected at various positions in the sample and saved in .csv files.
Mechanical and physical properties of quartz sand aggregates (NERC grant NE/K009656/1)
These data contain time series of stress, strain, confining pressure, pore pressure, pore volume and elastic wave velocities of samples of quartz sand aggregates deformed under hydrostatic and triaxial conditions at room temperature. This dataset is used and fully described/interpreted in the paper: Hangx S. J. T. and N. Brantut,Micromechanics of high pressure compaction in granular quartz aggregates, submitted to J. Geophys. Res.
Data obtained from triaxial rock deformation experiments conducted in the Triaxial Rock Physics Ensemble at University College London. See Readme file and associated paper for further details.
BODC Cruise Metadata Report for RRS Charles Darwin Cruise CD59
University of Leeds Datawell DWR-G4 Waverider deployment log during the ACSE 2014 summer voyage
Strategic Environmental Assessment (SEA) data portal
Citation Information - Digital Object Identifier (DOI)
University of Liverpool, Department of Earth Sciences
James Rennell Centre for Ocean Circulation
Center for International Climate and Environmental Research (CICERO)
Department for Energy and Climate Change (DECC)