This dataset contains measurements of dissolved nitrate, phosphate and silica during two deployments, each lasting several weeks each at the OBSEA observatory during 2022 and 2023. Three prototype lab on chip in situ chemical analysers developed at the National Oceanography Centre, UK, were deployed at the site during summer 2022 and summer 2023. The nitrate sensor uses the Griess colorimetric assay and a copperised cadmium column to measure dissolved nitrate (and nitrite). Each sample measurement was calibrated by measuring onboard calibration standards prepared in artificial seawater with a salinity of 35. A blank solution and a standard solution containing 10 µmol / L of potassium nitrate were measured immediately prior to each sample measurement. Nitrate data is available between 2022-06-16 and 2022-07-06. Sample measurements were made every 2 hours initially, but this was decreased to once every 4 hours from 2022-06-30. The phosphate sensor uses a colorimetric assay based on the Molybdenum Blue method. Each sample measurement was calibrated by measuring onboard calibration standards prepared in artificial seawater with a salinity of 35. A blank solution and two standard solutions containing 0.5 µmol / L and 2 µmol / L of potassium dihydrogen phosphate were measured immediately prior to each sample measurement. Phosphate data is available between 2022-06-16 and 2022-07-05, with a sampling frequency of every 2 hours (decreasing to every 4 hours from 2022-06-30), and between 2023-07-21 and 2023-09-12, with a sampling frequency of every 12 hours. The dissolved silica sensor uses a colorimetric assay also based on the Molybdenum Blue method. Each sample measurement was calibrated by measuring onboard calibration standards prepared in artificial seawater with a salinity of 35. A blank solution and two standard solutions containing 5 µmol / L and 15 µmol / L of sodium hexafluorosilicate were measured immediately prior to each sample measurement. Dissolved silica data is available between 2023-07-21 and 2023-08-12, with a sampling frequency of every 6 hours. Timestamps in the datafiles are in UTC and concentration units are µmol / L. This work was made possible by a TNA from the JERICO-S3  project funded by the European Commission – H2020 Framework Programme (grant agreement No.871153).   Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This is the third cruise for the US Office of Naval Research’s Coherent Lagrangian Pathways from the Surface Ocean to Interior (Calypso) project.  The program is motivated by the understanding that the vertical movement of water from the surface to depth across the base of the mixed layer has implications for the transport of properties, gases, biogeochemistry, and the fate of drifting particles/objects. However, vertical velocities are weak (about a thousand times smaller than horizontal velocities) and difficult to detect. To represent these motions we need to answer the following questions: (1) How are water and properties from the surface boundary layer exported to depth?  (2) What coherent pathways act as conduits for exchange? (3) What dynamics shapes these pathways? (4) What are the Lagrangian trajectories? (5) What are the time and space scales of subduction? (6) Where does the water end up?  (7) Can we predict these pathways in 3 dimensions and what data are needed to aid or constrain predictive models?  Previous work has established the theoretical basis for predicting coherent Lagrangian structures in the ocean. Confirmation of the predictive theory has only been accomplished in the horizontal dimension and the observational study and confirmation of predictive theories for 3D plus time have not yet been demonstrated. Calypso aims to: (1) Establish an understanding and predictive capability of the three-dimensional coherent pathways by which water carrying tracers and drifting objects is transported from the surface ocean to depths below the mixed layer. (2) Design and implement an observational study to test the theories, hypothesis, and predictions of the 3-D, time-evolving Lagrangian pathways. Due to the need to sample across a range of scales, we have set up this two-ship study with numerous autonomous and Lagrangian platforms.  Eurofleets+ helped the observational program succeed via the award of ship time on R/V Pelagia.  During the cruise, most of the operations from R/V Pelagia focussed on repeat surveys at a front and a cyclonic eddy to the NE of the front with a variety of ship-based measurements and autonomous platforms.  Two-ship operations combined repeat small-scale surveys by R/V Pelagia , which were embedded within larger scale surveys by R/V Pourquois Pas.   Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This dataset includes in situ observations of water sampling bottles collected during the PEP 1982 experiment.

This dataset includes in situ observations of water sampling bottles collected during the PEP 1983 experiment.

This dataset includes in situ observations of CTD casts collected during the PRE-SWOT experiment.

This dataset includes in situ observations of water sampling bottles collected during the PEP 1982 experiment.

This dataset includes in situ observations of water sampling bottles collected during the PRE-SWOT experiment.

This data set contains raw data for the pH time series at BOATS (Balearic Ocean Acidification Time Series) bay of Palma station located in the Balearic Islands Observing and Forecasting System (SOCIB ) Bay of Palma Buoy (https://www.socib.es/).

This data set contains raw data for the temperature, salinity, dissolved oxygen and pH time series at BOATS (Balearic Ocean Acidification Time Series) Cabrera National Park station.