CEFASddafc9be-3311-4061-99e3-c4c90b5ad9f5 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 2023-10-31T12:16:31 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 Mnemiopsis Ecology Modelling and Observation (MEMO) Plankton Surveys 2016-06-16 publication 2023-10-31 revision 2013-07-09 creation CEFAS2603 https://data.cefas.co.uk Analysis of samples collected for fish larvae and fish eggs, microzooplankton and mesozooplankton and phytoplankton. This data consists of the numbers of these plankton, along with associated positional data and volumes filtered where applicable. CEFAS Cruises: RV Endeavour 05/2011- Western English Channel (ICES area VIIE)RV Endeavour 05/2012 - Western English Channel (ICES area VIIE)RV Endeavour 07/2012 - North Sea (Botney Gut/Silver Pit)RV Endeavour 7X/2012 - North Sea 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 Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) data.manager@cefas.co.uk owner notPlanned Microzooplankton Phytoplankton Zooplankton SeaDataNet P03 parameter discovery vocabulary 2011-03-25 revision Plankton Advice Analysis Management Monitoring GEMET, version 1.0 2008-06-01 publication 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 Public data - no limitations to reuse 1000 English biota -13.00 10.00 47.50 57.75 2011-03-06 2012-11-08 Delimited Geographic Information System Unknown https://data.cefas.co.uk/view/2603 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 Part of a wider sampling programme in collaboration with Ifremer (France), ILVO (Belgium) and Deltares (Netherlands). The data collected is being used to produce models (Individual Biological Model [IBM], hydrodynamic, ecosystem and socioeconomic) that will help in the understanding of the life cycle of Warty Comb Jellyfish (*Mnemiopsis leidyi)*, the interactions of gelatinous zooplankton within their ecosystem and the consequences of increasing number of gelatinous zooplankton in European shelf seas for stakeholders (industry such as power plants, fisheries and tourism). Samples were collected using 200 μm mesh ring net 0.5m diameter (for zooplankton samples) and physical data was collected via a CTD attached to a ring net. Sampler deployment: The sampler was deployed in a double oblique tow from the surface to within 2 m of the seabed. Veering and hauling speeds were manually adjusted to ensure that each depth band was sampled equally. At shallow stations, multiple double oblique dives were necessary to enable a sufficient volume of water to be filtered. A minimum sampler deployment time of 15 minutes was aimed for. On recovery, the net was carefully washed down and the sample collected from the end bag. Each sample was then fixed using buffered formaldehyde solution and transported to the participating laboratories for sorting and identification. Sample analysis: Fish eggs and larvae were picked out from all samples by eye and, whenever practicable, the whole sample was sorted. However sub-sampling was at times necessary. Sub-sampling was carried out using a Folsom splitter. Fish larvae were readily identified unless they had been badly damaged during collection or were prematurely hatched. For some groups such as the sandeels (Ammodytidae) and the group of Gadidae commonly called rocklings, individuals were not identified to the species level. Fish eggs were initially split into three groups on the basis of the presence or absence of oil globules. Those containing either a single or many oil globules could usually be identified to the species level. Eggs with no oil globules were more difficult to identify. Some of these species such as cod (Gadus morhua), sprat (Sprattus sprattus), long rough dab (Hippoglossoides platessoides), dragonet (Callionymus spp.) and plaice (Pleuronectes platessa) were identified because of their size or unique features. Unidentified eggs in this group were recorded as egg diameters. Data storage: The raw data were stored on an Access database. The various data files were stored on the database in a series of tables linked by having the content of certain fields in common. All routine calculations, calibration changes and conversions were carried out on the database. The data tables (but not queries etc.) have now been extracted into text files. Plankton data are normally expressed as either number of organisms per m3 or per m2. The number per m3 is obtained by dividing the numbers per sample by the volume filtered, calculated from the sampler flowmeters. Number per m2 is obtained by multiplying the number per m3 by the mean sampled depth during a deployment. MEDIN 3.1.1