This dataset contains zooplankton taxa density sampled fortnightly from Windermere North Basin and Esthwaite Water in Cumbria, England. All data are from January 2005 to December 2009. The data available to download comprise the density of all zooplankton taxa identified in the samples in individuals per m2. Zooplankton were sampled from a boat at a marked location (buoy) using a plankton net (250µm), preserved, and counted in the laboratory, to determine the density of identified zooplankton taxa (individual per m2) within each sample. This dataset was created as part of an ongoing long-term monitoring program of Lakes within the English Lake District, which has collected a range of environmental and biological measurements since 1945. Full details about this dataset can be found at https://doi.org/10.5285/39bed192-423a-4bbf-9b97-7d3da8aab445

Multidisciplinary field campaigns were carried out in the Fram Strait region during late summer 2019 (JR18007, 04/08/2019 to 28/08/2019) aboard RRS James Clark Ross. A motion-compensated Bongo net fitted with 200 um mesh was deployed at all locations to a maximum depth of 200 m or to within 10 m of the seabed.In the Arctic and sub-Arctic sectors adjacent to the Atlantic, three species of Calanus co-occur. However, their respective core distributions align with different water masses, with Calanus hyperboreus being a high-Arctic oceanic species, C. glacialis being associated with Arctic shelf waters, and C. finmarchicus dominating inflowing Atlantic Water.The proportions of these three species in each deployment was established through molecular analysis of the paired ethanol preserved sample. Subsamples of the ethanol sample were analysed using a 16S ribosomal RNA gene barcode (16SAR, 16SB2R primers) following an adapted protocol. Amplified DNA was sequenced using llumina high-throughput sequencing (HTS) platform. Resultant sequences processed through the Qiime pipeline, clustered into Operational Taxonomic Units at 97% homology and taxonomy was assigned using BLASTn (NCBI). Funded by UKRI Natural Environment Research Council (NERC; NE/P006213/1, NE/P006353/1, NE/P006302/1, NE/ P005985/1 amongst others).

This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2024. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing were supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/f4925dbe-875b-479c-8f98-5a11bbdb7ba4

This dataset consists of phyto- and zooplankton counts, chlorophyll concentration and fish catch data from the Cumbrian Lakes (Blelham Tarn, Esthwaite Water, Windermere north and south basins). The data span the years 1940 to 2013 but time series vary in length among different species and sites, and fish data are only available from Windermere. The original data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/1de49dab-c36e-4700-8b15-93a639ae4d55

This dataset contains quality-controlled georeferenced occurrence records of three Arctic Calanus species (Calanus finmarchicus, C. glacialis and C. hyperboreus), downloaded from the Ocean Biodiversity Information System (OBIS) and the Global Biodiversity Information Facility (GBIF) databases. Records span about 150 years of sampling (1870-2017), are located between 30 and 90 degrees north, and are distributed between the surface and 5000m deep. Physical (bathymetry) and environmental (temperature and sea-ice concentration) parameters are matched to each occurrence record. An html file provides the annotated source code for the data processing, analyses and figures produced for the publication: Freer JJ and Tarling GA (2023) Assessing key influences on the distribution and life-history of Arctic and boreal Calanus: Are online databases up to the challenge? Front. Mar. Sci. 10:908112. This work was funded by DIAPOD (NE/P006213/1) and CHASE (NE/R012687/1) projects as part of the Changing Arctic Ocean Programme, with the former funded by the UKRI Natural Environment Research Council (NERC) and the latter, jointly by NERC and the German Federal Ministry of Education and Research (BMBF). Further support was provided by BIOPOLE National Capability Multicentre Round 2 funding from the Natural Environment Research Council (NE/W004933/1).

Datasets from a deep sediment trap (3700m) mooring deployed in the Southern Ocean, north-west of South Georgia in April 2009 during the marine cruise JR200 and recovered in December 2009 by the marine cruise JR228.

Datasets from a deep sediment trap (3700m) mooring deployed in the Southern Ocean, north-west of South Georgia in December 2009 during the marine cruise JR228 and recovered in November 2011 by the marine cruise JR260a.

Datasets from a deep sediment trap (3700m) mooring deployed in the Southern Ocean, north-west of South Georgia in December 2011 during the marine cruise JR260b and recovered in November 2012 by the marine cruise JR280.

Datasets from a deep sediment trap (3700m) mooring deployed in the Southern Ocean, north-west of South Georgia in May 2013 during the marine cruise JR287 and recovered in December 2013 by the marine cruise JR291.

Datasets from a deep sediment trap (3200m) mooring deployed in the Southern Ocean, south-west of South Georgia in April 2007 during the marine cruise JR167 and recovered in January 2008 by the marine cruise JR177.