194 Works

UK shelf and North Sea quantitative sediment composition predictions

Oliver Williams
Spatial predictions of substrate composition for the UK shelf and North Sea. Compositional fractions of mud, sand and gravel were modelled for an area of the UK and North Sea using a statistical regression model. This dataset consists of percentage composition predictions for the mud, sand and gravel components as raster tifs. In addition the proportion of each of these sediment components were combined to predict the likely sediment classification as both a EUNIS habitat...

Ocean acidification

Phil Williamson, Carol Turley & Clare Ostle
MCCIP Science Review 2017, 1-14

Marine Climate Change Impacts: 10 years’ experience of science to policy reporting

This report card summarises how our understanding of marine climate change impacts has developed since the first MCCIP report card and lessons for science to policy reporting.

Effeithiau newid hinsawdd ar y môr: Goblygiadau ar gyfer gweithredu deddfwriaeth bioamrywiaeth y môr

Mae’r Cerdyn Adrodd hwn yn edrych ar ddeddfwriaeth newid hinsawdd a bioamrywiaeth forol, gan ganolbwyntio ar y ddeddfwriaeth a ddefnyddir i sefydlu gwahanol fathau o ardaloedd gwarchodedig morol.

Non-native species

Elizabeth J. Cottier-Cook, C. Beveridge, J.D. Bishop, J. Brodie, P.F. Clark, G. Epstein, Stuart Jenkins, D.G. Johns, J. Loxton, A. MacLeod, Christine Maggs, Dan Minchin, F. Mineur, Jack Sewell & C.A. Wood
MCCIP Science Review 2017, 47-61

Zooplankton data from Ring net, CALPS and PIA from the Western English Channel and Eastern Irish Sea in 2016

Sophie Pitois
Zooplankton data was collected from 3 different devices: Ring net, Continuous automated Litter and Plankton Sampler (CALPS) and Plankton Image Identifier (PIA), during the PELTIC 2016 survey (Pelagic ecosystem in the western English Channel and eastern Celtic Sea, 3rd to the 19th October) on board the RV “Cefas Endeavour”. Zooplankton samples and images were collected at 40 stations during the night. Depth-integrated vertical hauls using the Ring net were deployed with the aim of sampling...

Shelf Sea Biogeochemistry - Celtic Deep 2 Lander

Tom Hull
This data set consists of biogeochemical sensor data from seabed moorings. The mooring consists of a 3 legged stainless steel "minilander" 1.5 meters high. The biogeochemical sensors are mounted at 1 meter above the seabed. Temperature, salinity, dissolved oxygen, chlorophyll fluorescence, turbidity where fitted to a Cefas ESM2 data logger. These instruments gathered data for 5 minutes every 30 minutes. Sensors were validated against in-situ samples during deployment and recovery. Fluorometers were standardised using fluorosphere...

Shelf Sea Biogeochemistry - Celtic Deep 2 SmartBuoy

Tom Hull
This data set consists of biogeochemical sensor data from SmartBuoy moorings (Mills et al, 2005). SmartBuoys consist of a 4 meter tall stainless steel frame with a fibreglass torroid for buoyancy. Instruments are attached at a nominal 1 meter depth to the frame. In-air sensors are mounted to the top of the torroid. The buoys feature a satellite telemetry system providing near real-time telemetry. Temperature, salinity, dissolved oxygen, chlorophyll fluorescence, turbidity and photosynthetic active radiation...

Fish observation and length data derived from stereo-baited remote underwater videos collected around Saint Lucia in 2019

Analysed stereo-Baited Remote Underwater Videos (BRUVs) from the 2019 survey in the north west of St. Lucia. In total 87 1-hour BRUV stations were successfully deployed to a maximum depth of 100m. Video classification assessed fish MaxN (number of visible individuals in a single frame) by species and measured all fish lengths at MaxN. This data holding contains: The exported files from Eventmeasure for all 87 stations (3DPoints, ImagePtPair, Info, Lengths, MovieSeq, Period, Points and...

Kiribati Water Quality Monitoring Data - March 2019

Full water quality monitoring data set from the Commonwealth Marine Economies Programme survey around Tarawa, Kiribati in March 2019. This work was hosted and supported by the Kiribati Ministry of Lands, Environment and Development Environment and Conservation Division (MELAD-ECD), a list of collaborators is given in the attached readme file. The key parameters measured were: nutrients, chlorophyll, total suspended solids, E coli., intestinal Enterococci, vibrio and ESBL-producing bacteria (as a measure of antimicrobial resistance). In...

Monthly average non-algal Suspended Particulate Matter concentrations

Tiago Silva
Spatially gridded, monthly average of non-algal Suspended Particulate Matter (SPM). Based on satellite derived Ifremer OC5 algorithm (Gohin et al 2011). Interpolated and merged data from SeaWiFS, MODIS, MERIS and VIIRS satellite sensors. Based on Gohin et al (2005) OC5 algorithm that jointly estimates the load of Chlorophyll and non-algal suspended particulate matter. This algorithm has been validated against in-situ coastal observations for the English Channel and Bay of Biscay (Gohin, 2011) and modified to...

Seawater salinity trend analysis for the North East Atlantic (North West European Shelf)

Strategy Data Governance
This gridded data product provides a trend analysis to estimate the changes in Seawater Salinity at sea surface and near sea bed for the North West European Shelf from 1st January 1985 to 30th June 2014 at 7 Km spatial resolution. Monthly and seasonal trend values were generated by applying a Generalised Additive Model (GAM) on a time series of modelling output data for Salinity at 7 Km spatial resolution from the North West Shelf...

Quantitative sediment composition predictions for the north-west European continental shelf

Strategy Data Governance
Spatial predictions of the fractions of mud, sand and gravel as continuous response variables for the north-west European continental shelf. Mud, sand and gravel fractions range from 0-1 (i.e. 0-100%). These fractions were generated from two additive log-ratios (ALR), ALRs and ALRm which are independent, unconstrained response variables. These raw predictions as rasters are also included presented in the attached dataset. Predicted fractions have been combined to predict the likely sediment classification based on the...

CLiP Solomon Islands Marine Litter Abundance and Composition

This dataset contains 2 csv files. The file Solomon_Marine_Litter_Data.csv contains data on litter found on marine beaches in Solomon Islands between November 2018 and January 2019. The number of itemsis reported for each litter category. The list of litter categories was obtain merging OSPAR and Tangaroa Blue protocols with the addition of region-specific items, which are marked with '*'. An array of metadata (location names, survey date, GPS coordinates in decimal degrees) is also reported...

Reconstruction of North Sea trawling effort 1985-2015

Strategy Data Governance

Fladen experimental fishing impact recovery data - Seabed imagery analysis

Total counts and derived abundance codes of individual taxa identified from video files still photographs of the seabed and total counts of nephrops burrows identified from video files, with associated station information. The digital video and still photographs were acquired from cameras mounted on a camera sledge frame at sampling stations located within six experimental boxes (three treatments and three control) during a fishing impact recovery survey within the Fladen Grounds. Data were collected at...

Phytoplankton abundance data from the Gibraltar coastline 2009-2019

Full community phytoplankton analysis results, expressed as cells per litre, from samples collected from the Gibraltar coastline between 2009 to 2019. The data were derived from water samples collected at a 2m depth using a Niskin sampler on an quarterly basis at four sites by HM Government of Gibraltar. Site positions are included in the dataset, and are accurate to +/- 30m. Samples were preserved with acidified Lugol's Iodine and sent immediately after collection. Once...

Air-sea CO2 exchange and ocean acidification in UK seas and adjacent waters

M.P. Humphreys, Y. Artioli, D.C.E. Bakker, S.E. Hartman, P. Leon, S. Wakelin, P. Walsham & P. Williamson

CLiP Belize Marine Litter Abundance and Composition 2019

This dataset contains 2 csv files. The file Belize_Marine_Litter_Data.csv contains data on litter found on marine beaches, river banks and along city canals in Belize between May and June 2019. The number of items and the weight in kg is reported for each litter category. The list of litter categories was obtain merging OSPAR and Tangaroa Blue protocols with the addition of region-specific items. Item categories marked with '*' were added during the operations in...

CLiP Belize Microplastics in sediment 2019

Impacts of climate change on fish, relevant to the coastal and marine environment around the UK

P.J. Wright, J.K. Pinnegar & C. Fox

Impacts of climate change on aquaculture

C. Collins, E. Bresnan, L. Brown, L. Falconer, J. Guilder, L. Jones, A. Kennerley, S. Malham, A. Murray & M. Stanley

Impacts of climate change on coastal flooding, relevant to the coastal and marine environment around the UK

I.D. Haigh, R.J. Nicholls, E.C. Penning-Rowsell & P. Sayers

The impacts of climate change on temperature (air and sea), relevant to the coastal and marine environment around the UK

J.P. Tinker, E.L. Howes, S. Wakelin, M. Menary, E. Kent, D. Berry, J. Hindson, J. Ribeiro, S. Dye, O. Andres, K. Lyons & T. Smyth

Registration Year

  • 2020
    53
  • 2019
    34
  • 2018
    16
  • 2017
    27
  • 2016
    27
  • 2015
    3
  • 2014
    34

Resource Types

  • Dataset
    113
  • Text
    81

Affiliations

  • Centre for Environment, Fisheries and Aquaculture Science
    44
  • University of Sheffield
    1