CEFASf06381c1-8e7b-48ec-9295-389922b1f58e 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 2026-04-24T12:50:39 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 Plankton Imager (Pi-10) Meta data collected on RV Cefas Endeavour 2024-11-19 publication 2026-04-24 revision 2024-11-04 creation CEFAS22068 https://data.cefas.co.uk Plankton Imager (Pi-10) data collected during RV Cefas Endeavour surveys. Data are images, separated by ten minute bins, and may be either unzipped, or zipped as tar files for that ten minute bin (zipping is a setting that can be turned on/off by the plankton imager acquisition software). Each image is directly named with the instrument ID, datetime and GPS data are embedded in the file metadata EXIF as decimal latitude longitude. These data provide an overview of where, when and how many images were captured by the plankton imager. Each row represents a 10-minute bin of images. The raw image data are stored on azure. The ‘BLOB’ column in the data indicates which folder within the azure container the data are stored. The HITS column indicates the number of images within that ten-minute bin and the MISSES column indicates the number of images not stored (e.g. due to date rate). The MISSES are needed to resolve abundance data in much the same way as splitting a physical plankton sample. Note, older data on an earlier prototype are available on request. The deployment of the Pi-10 is continuous and these data are updated every 3 months. 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 Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) data.manager@cefas.co.uk owner notPlanned Plankton GEMET, version 1.0 2008-06-01 publication Species distribution Oceanographic geographical features Orthoimagery 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 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 2026' .. _`https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/`: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ English biota oceans imageryBaseMapsEarthCover 1.73881 1.74086 52.4581 52.4595 2023-09-28 2025-11-01 Delimited Geographic Information System Unknown https://data.cefas.co.uk/view/22068 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 INSPIRE Data Specification on Oceanographic geographical features – Technical Guidelines 2013-12-10 publication false See the referenced specification INSPIRE Data Specification on Orthoimagery – 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 The Plankton Imager is a high-speed, colour line-scan camera system that continuously samples mesozooplankton by pumping seawater through a flow-through chamber and imaging every passing particle in real-time (see: `https://doi.org/10.1101/2025.01.27.635045`_ for a detailed method). These blobs hold raw survey data uploaded directly from terabyte-scale physical hard drives following vessel-based surveys. Uploads are typically performed via Azure Data Box or equivalent secure bulk transfer mechanisms. These images may be classified manually or using machine learning. This data resource is for the raw image data only. For examples of classifiers see the rapid‑plankton gui (`https://github.com/CefasRepRes/rapid-plankton`_ which demonstrates the real-time edge-ai classification of Pi-10 images as well as cloud-based classification. Data enquiries may be made available on request for the entirety of the data or per blob. Preservation of the original collected data structure is intentional at this stage. Data are uploaded without modification. No classification, filtering, or relabelling is performed. Integrity is maintained through Azure Blob Storage checksums and controlled write access. These containers represent the authoritative source data. All downstream processing, labelling, and machine learning workflows trace provenance back to these raw uploads. Quality StatementData quality reflects instrument performance and survey conditions at the time of collection. No post-collection quality filtering has been applied. Users must assess suitability for derived use. Bubbles frequently pollute the raw images. .. _`https://doi.org/10.1101/2025.01.27.635045`: https://doi.org/10.1101/2025.01.27.635045 .. _`https://github.com/cefasrepres/rapid-plankton`: https://github.com/CefasRepRes/rapid-plankton MEDIN 3.1.1