(My organization)
Continents, countries, sea regions of the world.
The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK)
This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data include baseline concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O) sampled from porewater prior to injection of 15N-nitrate. Full details about this dataset can be found at https://doi.org/10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99
If you reuse this data, you should cite: Trimmer, M. (2018). The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK). NERC Environmental Information Data Centre https://doi.org/10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99
This resource is made available under the terms of the Open Government Licence
Prior to injection of 15N-nitrate, samples of porewater were recovered to measure background concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O). Concentration of dissolved oxygen in porewater sampled prior to 15N injection. Units are micro-M. Porewater was transferred from the collection syringe to an open syringe barrel containing an oxygen sensor via a 3-way valve. O2 concentrations were measured with a fast response microelectrode (50microm tip, Unisense). Readings from the microelectrode were displayed on a pico-ammeter (PA 2000; Unisense) and logged after 4s when the signal had stabilized. Calibration was performed with a zero solution (0.1M sodium ascorbate in 0.1M sodium hydroxide) and a solution of known O2 concentration (determined via Winkler titration). Through laboratory simulation with de-oxygenated water we estimate that O2 contamination during sample transfer and measurement was 10micro-M and have subtracted this value from the data. The limit of detection was 10micro-M and the precision was 2%. O2adj percent: Saturation of dissolved oxygen expressed relative to air-equilibrated water at the temperature of the sample. Units are %. The air-equilibrated O2 concentration was calculated for each sample using the Bunsen solubility coefficient for O2 and the temperature of the sample (determined during pH measurement, see below). O2 sat = 100 x O2adj (see above) divided by the air-equilibrated O2 concentration. pH of porewater sample prior to 15N injection. After the O2 concentration of the porewater was measured (see above) a calibrated pH probe (VWR 100) was placed in the solution and the temperature and pH was recorded. Temperature units are degrees centigrade. Water samples for nutrients were filtered through 0.45 micron filters (polypropylene). Samples for nutrient analysis were frozen at -20ºC before analysis. In the permeable sandy sediments, nitrate reduction was measured by 'push-pull' using techniques in Lansdown et al. (2014). In the main piezometer network described in Shelley et al (2017), a tracer containing 15N-labelled nitrate (300 micro-M (M), 98 atom percent 15N) in a de-oxygenated synthetic river water plus KCl matrix was injected into the riverbed and porewater samples recovered over time (Lansdown et al. (2014)). A helium headspace was added to the water samples, the 15N-labelled N2 content was determined by mass spectrometry. Data marked as 0 were below the detection limit of the method. Data marked ND were either no data collected or a sample lost.
UKCCSRC Call 2 project poster: Multiscale characterization of CO2 storage in the United Kingdom, Cranfield Biannual, 21.04.15
This poster on the UKCCSRC Call 2 project, Multiscale characterization of CO2 storage in the United Kingdom, was presented at the Cranfield Biannual, 21.04.15. Grant number: UKCCSRC-C2-197.
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.
Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
UKCCSRC Call 2 project, grant number: UKCCSRC-C2-197, Lead institution: Imperial College London
https://catalogue.ceda.ac.uk/uuid/bac887be794d4c4587f302f764c12ec4 bac887be794d4c4587f302f764c12ec4
Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA): Meteorological data from the measurement station on the ice floe
This dataset contains meteorological data, including air temperature, near-surface air temperature profiles, relative humidity, surface temperature, near-surface wind speed profiles, shortwave and longwave radiation components, wind speed and wind direction measured at a station on the ice floe during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic. AO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. 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 Bolin Centre for Climate Research MOCCHA/AO2018 holdings. These data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Jutta Vüllers, University of Leeds. The UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).
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, quality controlled and prepared for archiving by the MOCCHA project data authors before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.
Map based index (GeoIndex) geochemical samples
The map shows the location of excess sample materials from the G-BASE (Geochemical Baseline Survey Of The Environment) geochemistry project:- stream sediments, panned heavy mineral concentrates and soils are stored long term in the National Geoscience Data Centre and are available for use in other projects. The Minerals Programme (incorporating the Mineral Reconnaissance Programme) sample collection contains reference samples of drill cores, rocks, tills, soils, stream sediments and panned concentrates. These samples were collected in the period 1974 - to date in mineralised and potentially mineralised areas of the United Kingdom, principally in the northern and western Britain.
Free access. The usual BGS licensing terms and conditions apply to external use of the data.
The original data are geochemical samples collected as part of the BGS G-BASE project. A database holds information on the location and the type of sample held, this layer of the GeoIndex is derived from this database.
The oceanographic dataset collected during the research cruise identified as PD38/09 on board the RV Prince Madog
This dataset comprises 38 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in September 2009 throughout Liverpool Bay. 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 Proudman Oceanographic Laboratory as part of the National Oceanography Centre (formerly the Proudman Oceanographic Laboratory), Liverpool Bay/Irish Sea Coastal Observatory initiative.
Vertical velocity of the water column (currents)
Phaeopigment concentrations in the water column
Ammonium and ammonia concentration parameters in water bodies
Visible waveband radiance and irradiance measurements in the water column
Horizontal velocity of the water column (currents)
Concentration of suspended particulate material in the water column
Phosphate concentration parameters in the water column
Nitrite concentration parameters in the water column
Chlorophyll pigment concentrations in water bodies
Silicate concentration parameters in the water column
Transmittance and attenuance of the water column
Nitrate concentration parameters in the water column
Dissolved oxygen parameters in the water column
Raw suspended particulate material concentration sensor output
Electrical conductivity of the water column
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 the British Oceanographic Data Centre Data Licence. The licence terms and conditions are available via https://www.bodc.ac.uk/data/documents/nodb/267795/
Data are freely available for teaching and research, providing due acknowledgment in any publication produced, 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/
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/
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.
https://catalogue.ceda.ac.uk/uuid/c9dd2107e0b7e8c7b6aca7c34980f679 c9dd2107e0b7e8c7b6aca7c34980f679
CRU TS3.00: Climatic Research Unit (CRU) Time-Series (TS) Version 3.00 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec.2006)
The gridded CRU TS (time-series) 3.00 data are month-by-month variations in climate over the period 1901-2006, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. The CRU TS 3.00 variables include cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum/min temperature, vapour pressure and wet day frequency. The BADC holds the preliminary CRU TS3.00 datasets for the period 1901-2006. Note that these data are yearly files REGARDLESS of whether the data exists for the full year. In CRU TS3.00, the data up to 06/2006 *ONLY* has been used. The CRU TS 3.00 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. All CRU TS output files are actual values - NOT anomalies. CRU TS data are available for download to all CEDA users.
CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.
SAFIRE-ATR42 AS58 EUFAR ICARE-QAD Flight, 2010-10-29: in situ atmospheric measurements
In situ atmospheric measurements using the SAFIRE ATR42 Core Instrument suite onboard the ATR42 - SAFIRE aircraft for the icare-QUAD- Quality of Airborne Data (ICARE-QAD) project (flight reference: as58). Data were collected over the Toulouse, France area.
Public data: access to these data is available to both registered and non-registered users.
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 collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
https://catalogue.ceda.ac.uk/uuid/ff8a7f27b827c108dd9756adffaaa942 ff8a7f27b827c108dd9756adffaaa942
Advanced Along-Track Scanning Radiometer (AATSR) Re-processing for Climate (ARC) Dataset of Sea Surface Temperature Retrievals
The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy. ARC reprocesses the ATSR1, ATSR2 and AATSR data using new cloud detection and SST retrievals. The main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade. The Level 3 ARC data products are available for ATSR1, ATSR2 and AATSR and in the version 1 release are currently available from 1991 to 2009, producing a homogeneous record of sea surface temperature for this period. Version 1.1 data are available. The previous version 1 data continues to be available. The ARC project was led by Chris Merchant of the University of Edinburgh/NCEO and funded by NERC and the UK Government.
Please contact the data centre for assistance on accessing data from this dataset collection.
Please see data lineage statements for each dataset within this collection for data lineage details.
Saltmarsh carbon and greenhouse gas flux data for northern temperate Europe, collated from literature
The UK saltmarsh database of carbon and GHG (greenhouse gas) fluxes was compiled from a systematic literature review conducted using the Web of Science on 11/12/2023 and searches on UK Government organisations and non-government agency websites on 29/02/2024. A total of 8,974 papers were reviewed for carbon accumulation and stocks, GHG fluxes (CO2, CH4 and N2O) and other relevant environment data in natural and restored (i.e. rewetted by managed coastal realignment) saltmarsh habitats applicable to the UK, for incorporation into the database for the potential use in GHG inventory reporting and carbon accounting. Full details about this dataset can be found at https://doi.org/10.5285/a114e2de-bbed-45d2-9af1-372edb4b5025
The UK saltmarsh C and GHG flux database is the Copyright of the Environment Agency and has been prepared by the UK Centre for Ecology and Hydrology (UKCEH) under contract “Synthesis of GHG and C flux data from published work applicable to and collected from UK saltmarsh habitat, and compilation of database” signed 08 November 2023. UKCEH accepts no liability whatsoever to any third party for any loss or damage arising from any interpretation or use of the information contained in this dataset, other than the liability that is agreed in the said contract.
If you reuse this data, you should cite: Clilverd, H., Burden, A., Carter, S., Buys, G., Ferguson, S.J. (2025). Saltmarsh carbon and greenhouse gas flux data for northern temperate Europe, collated from literature. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a114e2de-bbed-45d2-9af1-372edb4b5025
This resource is available under the terms of the Open Government Licence
The web of science literature results were screened for relevant data in a multi-stage process, that removed irrelevant papers by screening titles, abstracts and then core text. Review or modelling papers were not included unless they contained field data. We constrained the results to studies relevant to UK saltmarsh habitat and the temperate/northern European climatic zone. Data were extracted from the retained articles using a rigorous assessment of the methodology and assumptions given in the paper. QA/QC of the data was conducted by two reviewers. Detailed methods are given in the accompanying project report.
ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from AVHRR (1982 - 2019), version1.0
This dataset contains Daily Snow Cover Fraction (snow on ground) from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme. Snow cover fraction on ground (SCFG) indicates the area of snow observed from space over land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel. The global SCFG product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included. The SCFG time series provides daily products for the period 1982-2019. The product is based on medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the Cloud CCI cloud v3.0 mask product. The retrieval method of the snow_cci SCFG product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 630 nm and 1.61 µm (channel 3a or the reflective part of channel 3b), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFG retrieval method is applied. The following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground. The SCFG product is aimed to serve the needs of users working in cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology, and biology. The Remote Sensing Research Group of the University of Bern is responsible for the SCFG product development and generation. ENVEO developed and prepared all auxiliary data sets used for the product generation. The SCFG AVHRR product comprises one longer data gap of 92 between November 1994 and January 1995, and 16 individual daily gaps, resulting in a 99% data coverage over the entire study period of 38 years.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf, 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.
The snow_cci SCFG product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017, Stengel et al. 2020). The final product is quality checked. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
British Geological Survey (BGS) GeoIndex - Geochemistry data theme
BODC Cruise Metadata Report for Prince Madog Cruise PD38/09
Climate Research Unit (CRU) data Homepage
Embury, O; Merchant, C; Berry, D & Kent, E; A REPROCESSING FOR CLIMATE OF SEA SURFACE TEMPERATURE FROM THE ALONG-TRACK SCANNING RADIOMETERS, 2011
Stengel, M. et al. Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties. Earth Syst. Sci. Data 12, 41–60 (2020).
Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).
Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.
ESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 13.04.2021
Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest
NERC EDS Environmental Information Data Centre
Centre for Environmental Data Analysis (CEDA)
University of Liverpool, Department of Earth and Ocean Sciences
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory
NCAS British Atmospheric Data Centre (NCAS BADC)
University of East Anglia Climatic Research Unit (CRU)
SAFIRE Service des Avions Francais Instrumentés pour la Recherche en Environnement
European Facility for Airborne Research (EUFAR)
NERC Earth Observation Data Centre (NEODC)
NERC EDS Centre for Environmental Data Analysis
AVHRR-3 scans the Earth's surface in six spectral bands in the range of 0.58-12.5 microns, to provide day and night imaging of land, water and clouds and measurements of sea surface temperature, ice snow and vegetation cover. The instruments were provided by the National Oceanic and Atmospheric Administration (NOAA) and is flown on the EPS-METOP series of satellites This dataset collection contains data from the Advanced Very High Resolution Radiometer-3 (AVHRR-3) on board the Eumetsat Polar System (EPS) MetOp-A satellite.
All data within this dataset collection are available to any registered CEDA user.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/avhrr-3.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 oceanographic dataset collected during the research cruise identified as CH115C on board the RRS Challenger
This dataset comprises 113 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in November 1994 from stations covering the East coast from The Wash to Berwick upon Tweed. 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 Wales, Bangor School of Ocean Sciences as part of the Land Ocean Interaction Study (LOIS) Rivers, Atmosphere and Coasts Study (RACS).
Visible waveband radiance and irradiance measurements in the atmosphere
Alkalinity, acidity and pH of the water column
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) global positioning system (GPS) locations for instruments and features associated with wave monitoring and sedimentation-erosion table installations in saltmarsh and mudflat habitats
The dataset details global positioning system (GPS) locations recorded for instruments and locations of interest associated with equipment installed for the monitoring of wave energy, surface elevation changes and sedimentation at five UK saltmarsh sites. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Rod Sedimentation-Erosion Tables (rSETs) were installed at different distances from the vegetated margin. Three rSETs were deployed for each Essex site and four for the Morecambe sites. rSET benchmarks were installed with associated marker horizons to evaluate surface elevation changes and surface accretion respectively. Shore-normal transects of pressure transducers (PTs) were installed to monitor wave energy transformation across the marsh and mudflat surfaces. The locations and elevations of the equipment is necessary to make use of the associated datasets "Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) wave monitoring over saltmarsh and mudflat habitats" and "Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sedimentation and erosion monitoring over saltmarsh and mudflat habitats". This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/adf702a1-d154-45b5-9c31-4f6acf5836f1
If you reuse this data, you should cite: Evans, B.R., Möller, I., Spencer, T. (2016). Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) global positioning system (GPS) locations for instruments and features associated with wave monitoring and sedimentation-erosion table installations in saltmarsh and mudflat habitats. NERC Environmental Information Data Centre https://doi.org/10.5285/adf702a1-d154-45b5-9c31-4f6acf5836f1
GPS locations and elevations were recorded using a Leica GS08 GNSS system with n-board 3D coordinate quality check of 50mm (above which points were rejected). Surveys were conducted upon installation of the monitoring equipment being surveyed. Data were recorded in OSGB1936(2), Northings, Eastings and elevation relative to Ordnance Datum Newlyn. No subsequent processing has been undertaken.
Copper Basin Exploration Science (CuBES) project broadband seismometer profile, Zambia 2022 - 2024
MiniSEED seismic data files, one file per station channel, per day plus associated metadata file, in dataless SEED format. The comprehensive metadata file includes lat, long, start and end dates and full calibration information for each instrument. The CuBES Broadband Profile consists of Guralp, ESPCD and 6T seismometers which recorded both 1Hz and 100Hz passive data, across Zambia, 01/05/2022 to 21/12/2024. The Copper Basin Exploration Science (CuBES) project collected passive seismic data across the Copper Belt in Zambia to determine for the first time the large scale crustal structure of the region to enable the copper deposits to be interpreted in a geodynamic context. DOI: https://doi.org/10.7914/SN/Z1_2022
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.. Constraint applies until 2026-12-31
The CuBES Broadband Profile consists of 30 Guralp (20 ESPCD, 10 6TD) seismometers recording both 1Hz and 100Hz passive data for up to 18 months.
BODC Cruise Metadata Report for RRS Challenger Cruise CH115C
University of Wales, School of Ocean Sciences