CEFAS4e148f93-2982-4858-a418-8e7f9ded625d English dataset Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk pointOfContact 2024-07-12T12:51:20 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 A new machine learning approach to seabed biotope classification 2019-07-05 publication 2024-07-12 revision 2019-07-05 creation CEFAS19921 https://data.cefas.co.uk Files for use with the R script accompanying the paper Cooper (2020). Note that this script also uses files from `https://doi.org/10.14466/CefasDataHub.34`_ (details provided in script). Cooper, K.M. (2020). A new machine learning approach to seabed biotope classification. Science Advances. .. _`https://doi.org/10.14466/cefasdatahub.34`: https://doi.org/10.14466/CefasDataHub.34 Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk originator Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk custodian Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk distributor Department for Environment, Food and Rural Affairs (DEFRA) defra.helpline@defra.gov.uk owner notPlanned Benthos Biodiversity Ecology Invertebrate Conservation Management Monitoring Sea bed GEMET, version 1.0 2008-06-01 publication Habitat SeaDataNet P03 parameter discovery vocabulary 2011-03-25 revision Habitat characterisation Habitat extent SeaDataNet P02 parameter discovery vocabulary 2011-03-25 revision Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Unknown SeaVoX Vertical Co-ordinate Coverages 2010-05-18 revision Marine Environmental Data and Information Network MEDIN metadata record availability 2012-01-11 publication data.gov.uk MEDIN metadata record availability 2012-01-11 publication otherRestrictions noLimitations otherRestrictions Public data - no limitations to reuse English environment 1.73881 1.74086 52.4581 52.4595 1969-03-30 2018-01-11 Binary Unknown https://data.cefas.co.uk/view/19921 Cefas Data Portal download The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download. dataset INSPIRE Data Specification on Habitats and Biotopes – Technical Guidelines 2013-12-10 publication false See the referenced specification Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication true See the referenced specification Files include: BiotopePredictionScript.R (R script), EUROPE.shp (European Coastline), EuropeLiteScoWal.shp (European Coastline with UK boundaries), DEFRADEMKC8.shp (Seabed bathymetry), C5922DATASETFAM13022017.csv (Training dataset), PARTC16112018.csv (Test dataset), PARTCAGG16112018.csv (Aggregation data). Description of C5922DATASETFAM13022017.csv: This file is based on the RSMP dataset (see https://www.cefas.co.uk/cefas-data-hub/dois/rsmp-baseline-dataset/), but with macrofaunal data output at the level of family or above. A variety of gear types have been used for sample collection including grabs (0.1m2 Hamon, 0.2m2 Hamon, 0.1m2 Day, 0.1m2 Van Veen and 0.1m2 Smith McIntrye) and cores. Of these various devices, 93% of samples were acquired using either a 0.1m2 Hamon grab or a 0.1m2 Day grab. Sieve sizes used in sample processing include 1mm and 0.5mm, reflecting the conventional preference for 1mm offshore and 0.5mm inshore. Of the samples collected using either a 0.1m2 Hamon grab or a 0.1m2 Day grab, 88% were processed using a 1mm sieve. Taxon names were standardised according to the WoRMS (World Register of Marine Species) list using the Taxon Match Tool (http://www.marinespecies.org/aphia.php?p=match). Of the initial 13,449 taxon names, only 774 remained after correction and aggregation to family level. The final dataset comprises of a single sheet comma-separated values (.csv) file. Colonials accounted for less than 20% of the total number of taxa and, where present, were given a value of 1 in the dataset. This component of the fauna was missing from 325 out of the 777 surveys, reflecting either a true absence, or simply that colonial taxa were ignored by the analyst. Sediment particle size data were provided as percentage weight by sieve mesh size, with the dataset including 99 different sieve sizes. Sediment samples have been processed using sieve, and a combination of sieve and laser diffraction techniques. Key metadata fields include: Sample coordinates (Latitude & Longitude), Survey Name, Gear, Date, Grab Sample Volume (litres) and Water Depth (m). A number of additional explanatory variables are also provided (salinity, temperature, chlorophyll a, Suspended particulate matter, Water depth, Wave Orbital Velocity, Average Current, Bed Stress). In total, the dataset dimensions are 33,198 rows (samples) x 900 columns (variables/factors), yielding a matrix of 29,878,200 individual data values. MEDIN 3.1.1