CEFASedcc1f23-c1cc-4c05-89f3-a0550badbd08 English series series 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 2025-11-06T01:10:11 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 West Gabbard zooplankton abundance time series monitoring using ZooScan from 2016 to 2022 2021-04-12 publication 2025-11-06 revision 2020-05-12 creation CEFAS20561 https://data.cefas.co.uk Estimates of zooplankton taxa abundances identified and analysed using semi-automated methods with the ZooScan instrument and EcoTaxa web application. Data are obtained from opportunistic ringnet sampling at the West Gabbard sampling location as part of a time series. The dataset currently contains the results from zooplankton samples obtained from 30/06/2016 - 28/02/2022, although the time series is ongoing. After subsequent image analysis, the sampling information and results are analysed to provide abundance estimates for zooplankton taxa in m3. 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 Zooplankton SeaDataNet P03 parameter discovery vocabulary 2011-03-25 revision Plankton abundance per unit volume of the water column SeaDataNet P02 parameter discovery vocabulary 2011-03-25 revision Species distribution GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Water column 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 **Publicly available data licensed under the Open Government Licence v3.0 (`https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/)`_ – Please note the applicable attribution statement is as follows: ‘includes Crown copyright, Cefas 2021'** .. _`https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/)`: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ English biota 2.00 2.50 51.75 52.00 2016-06-29 2022-02-28 Delimited Geographic Information System Unknown https://data.cefas.co.uk/view/20561 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: CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols. dataset INSPIRE Data Specification on Species Distribution – 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 Since 30th June 2016, opportunistic sampling has been undertaken by the RV Cefas Endeavour throughout the year by vertically deploying 0.5m 200µm mesh ringnets at the West Gabbard sampling location. Samples are sent back to the Plankton Lab at the Lowestoft laboratory. These are then prepped and scanned for image analysis using ZooScan, with the obtained images subsequently being imported into the EcoTaxa project library. Once uploaded into EcoTaxa, sample scan images are predicted into taxa categories with the provision of a learning set to aid automatic image sorting using Random Forest algorithms. These predicted classifications are validated afterward by an experienced taxonomist and the metadata downloaded. Objects captured in images are separated into zooplankton taxa and detritus groups and abundances are estimated (per meter cubed) using counts and sample fraction calculations. An agreed subset of the data may be selected for QC checks by a second analyst. MEDIN 3.1.1