A set of historical tide gauge sea level records from Alicante (Spanish Mediterranean coast) have been recovered from logbooks stored at the Spanish National Geographical Institute (IGN). Sea level measurements have been digitised, quality-controlled and merged into two consistent sea level time series. Vertical references among instruments benchmarks have been derived from high precision vertical levelling surveys. Earlier observations are daily averages and more recent data are hourly values. The observations are from 7 different tide gauge records in Alicante outer harbour (Alicante I) and five tide gauge series in Alicante inner harbour (Alicante II). The sea level record in Alicante starts in 1870 with daily averaged values until the 1920s and hourly afterwards, and is still in operation, thus representing the longest tide gauge sea level time series in the Mediterranean Sea. The sea level at Alicante I has been measured by tide pole, floating gauge, mechanical recorder, digital recorder and since 2014 by radar gauge. The sea level at Alicante II has been measured by floating gauge, digital recorder and from 2014 onwards by radar gauge. This scarcity of long-term sea-level observations, as well as their uneven geographical distribution is a major challenge for climate studies that address, for example, the quantification of mean sea-level rise at centennial time scales, the accurate assessment of sea-level acceleration or the long-term changes in sea-level extremes that are vital for coastal risk assessments. This dataset represents an additional effort of sea-level data archaeology and aims at preserving the historical scientific heritage that has been up to now stored in old archives in non-electronic format. The research was partially funded by the Spanish Ministry of Science, Innovation and Universities. A further series was rescued from Santander under the same initiative.

A novel temperature dataset for northern high latitude Seas (ATLAS) is a dataset of three-dimensional temperature derived from combining quality controlled Argo float measurements with marine mammal mounted Satellite Relay Data Loggers (SRDLs) profiles. Using data values gathered from across the North Atlantic region, a 1×1 degree gridded temperature dataset of the average monthly values from January 2004 to December 2008, with 15 vertical layers between 0–700 m was produced. Built as complementary to existing ship-based fields, the ATLAS dataset is a community resource to help determine the impacts of climate change on the Labrador and Nordic Seas regions. The data were collated by the National Oceanography Centre (NOC) and are made available from the British Oceanographic Data Centre (BODC).

This dataset comprises measurements of microbial uptake activities of betaine and choline, particulate phase osmolytes, amplicon sequencing of marker genese involved in Nitrogenous-osmolyte catabolism, and single cell genome data. Water samples were collected from at the L4 station of the Western Channel Observatory between April 27, 2015 to April 24, 2017 using Niskin bottles attached to a rosette sampler deployed from the RV Plymouth Quest. Nitrogenous osmolytes (glycine betaine, choline and trimethylamine N-oxide are essential components for most organisms in the marine environment. They enable cells to exist in a salty environment, but also have several other proposed uses. The aim of the project is to understand the seasonal cycle of glycine betaine, trimethylamine N-oxide and choline at Station L4. The water samples were analysed for the microbial assimilation and dissimilation activities using 14C labelled betaine and choline, respectively. The data will be incorporated to the European Regional Seas Ecosystem Model (ERSEM) coupled with the hydrodynamic model General Ocean Turbulent Model (GOTM) to simulate the N-osmolyte cycling at the L4 station. The data were collected under the project Biogeochemical cycling of N-osmolytes in the surface ocean funded by NERC Discovery Science grants NE/M002233/1 (parent), NE/M003361/1 (child), NE/M002934/1 (child). The grants were led by Dr Yin Chen, Dr Ruth Airs, and Dr Wei Huang respectively.

A large number of charts (originals and copies) together with tabulations of data are also available, some of which date back to the 1850s. A more detailed description of these will be available once they have been systematically catalogued and archived.

This project aims to provide an estimate of the extent to which microplastic concentrations are underestimated with traditional sampling. Sampling events focus on coastal waters, where microplastics are predicted to have the greatest influence on marine life, on both sides of the North Atlantic Ocean. Samples were collected in the Gulf of Maine (USA) in July 2013 and the western English Channel off the coast of Plymouth (UK) between July and September 2015. Microplastic debris was collected via surface trawls using 100, 333 and 500 micrometer nets. Data collection was funded by the Natural Environment Research Council (NERC Grant NE/L003988/1 and NE/L007010/1); University of Exeter and Plymouth Marine Laboratory collaboration fund; in-kind contributions from the ‘Rozalia Project’; March Limited of Bermuda philanthropic support.

This dataset consists of depth-averaged eastward and northward current components. Also present is the sea surface height above sea level. The dataset is a gridded dataset, with grid resolution of 1.85 km. It covers the entire Irish Sea area, with a precise range from -2.7 degrees longitude to -7 degrees longitude and from 51 degrees latitude to 56 degrees latitude. The data are 30 minute averages and cover the period from 01 January 1996 to 01 January 2007. The dataset was generated by the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled with the Wave Modelling model (POLCOMS-WAM) as part of the Natural Environment Research Council (NERC) CoFEE project which ran from April 2007 to September 2010. The depth-averaged eastward and northward current components and sea surface height were used as input conditions into a coastal processes and sediment transport model which looked at the response of the north Liverpool coastline to extreme flooding events. The dataset was generated by the Proudman Oceanographic Laboratory (since April 2010, part of the UK National Oceanography Centre). The dataset consists of 264 data files in Climate and Forecast (CF) compliant NetCDF format.

The data set comprises temperature and salinity hydrocasts collected across the North Atlantic Ocean between 1910 and 1990. The measurements were collected by nine North Atlantic Ocean Weather Ships (OWS): OWS Alpha (1954 – 1974); OWS Bravo (1928 – 1974); OWS Charlie (1910 – 1982); OWS Echo (1910 – 1979); OWS India (1957 – 1975); OWS Juliet (1950 – 1975); OWS Kilo (1949 – 1973); OWS Lima (1948 – 1990); OWS Mike (1948 – 1982). This data set also includes measurements collected close to the general positions prior to the stationing of the Weather ships for the OWS Bravo, Charlie and Echo stations. Data from OWS Alpha, Bravo, Echo, India, Juliett and Kilo have been taken from the US National Oceanographic Data Center (NODC) compilations whereas those from OWS Charlie, Lima and Mike have been constructed from both the US NODC and International Council for the Exploration of the Seas (ICES) data holdings. In addition a daily averaged data set for OWS Charlie is available for the period 1975 - 1985 (supplied by Syd Levitus). This data set was supplied to the British Oceanographic Data Centre (BODC) by ICES. Additional files and more recent data can be acquired from the ICES website.

This dataset contains high and low water values manually digitised from historic hand-written tabulated ledgers, from the Port of London Authority (PLA). The dataset contains 463 years of data, from across 15 tide gauge sites along the Thames Estuary (bounding box = -0.3159W, 51.3914N, 1.3797E, 51.8428N), for the period 1911 to 1995. When these historic records are combined with digital records available from the PLA since 1995, the new sea level time-series spans the 109-year period from 1911 to 2019. London is one of the world’s most important coastal cities and is located around the Thames Estuary. Quantifying changes in sea levels in the Thames Estuary over the 20th century and early part of the 21st century is vital to inform future management of flood risk in London. This dataset is of importance for ongoing monitoring of mean sea-level rise, and changes in tidal range and extreme sea levels in the Thames Estuary. The project was led by the Ocean and Earth Science, University of Southampton and the Environment Agency, with contributions from the Leibniz Institute for Baltic Sea Research Warnemunde and the National Oceanography Centre. The study contributes to the objectives of UK National Environment Research Council (NERC) project E-Rise: Earliest detection of sea-level rise accelerations to inform lead time to upgrade/replace coastal flood defence infrastructure (NE/P009069/1; I.D.H.).

This dataset contains wave data collected by surface moorings across three sites (D1, D2 and D3) west of the Isle of Islay between February 2012 and August 2012. There was a Datawell Mk.III directional Waverider buoy moored at each of the three sites collecting the wave data every 30 minutes. The data were collected as part of the metocean survey of the proposed Islay Offshore Windfarm. Partrac Ltd were contracted to conduct the data collection by SSE Renewables and provided the data to The Crown Estate as the landowner of the UK seabed out to 12 nautical miles. The data and associated metadata reports are held at the British Oceanographic Data Centre, as a MEDIN Data Archiving Centre.

A collection of raw water temperature-depth-time profiles were recorded from a selection of dive computers, underwater cameras and baseline Castaway microCTD devices. Data were collected at Oban recompression chamber (owned and managed by Tritonia Scientific), as well as during sea dives local to 56.42 N, 5.47W, over a two-week period between 08/01/2020 and 07/02/2020. A number of different devices and models were tested during the study. Chamber dives were undertaken to test and compare device response time (29 devices over 11 dives) and accuracy (6 replicate dives). This was followed by local sea dives to further compare device accuracy. During each pair of sea dives (6 total), half of the devices were mounted on a frame with the remainder worn by two divers. For the subsequent dives in each pair, each device was switched to the alternate mounting position. Dive profiles were exported from individual dive computers into Subsurface open source software, then exported in ssrf (XML) format for each week of data collection. Profiles from all dive computers were combined for analysis. Castaway microCTDs and Paralenz Dive Camera+ profiles were exported as individual CSV files per dive. Data were collected as part of Celia Marlowe’s PhD project at the University of East Anglia, which aimed to assess the precision, accuracy and uncertainty in water temperature profiles collected from devices commonly carried by Scuba divers. The PhD project is part of the Next Generation Unmanned Systems Science (NEXUSS) Centre for Doctoral Training, funded by the Natural Environment Research Council (NERC) and the Engineering and Physical Science Research Council (EPSRC) (NE/N012070/1), and is additionally supported by Cefas Seedcorn (DP901D). The diving and chamber tests were supported through a NERC National Facility for Scientific Diving grant (NFSD/17/02).