The aim of this campaign was to understand and identify controls on biogeochemistry of Belize's coastal zone and the influence of the Belize river. Data were collected in October 2019 over five days - during daylight hours, with the aim of capturing wet season influence of the river, however Belize experienced a drought. Data were collected to enhance and calibrate data collected by the Autonomous Surface Vehicle C-worker 4 as part Commonwealth Marine Economies Programme Belize (CMEP Belize). Discrete water samples were collected for dissolved O2, chlorophyll, nutrients, dissolved organic carbon (DOC), absorbance, and fluorescent dissolved organic matter (FDOM), total alkalinity (TA), dissolved inorganic carbon (DIC), particulate nitrogen (PN), stable carbon-13 isotope DIC (d13C-DIC) and stable nitrogen-15 isotope PN (d15N-PN) and particulate organic carbon (POC). This is an update to a previous version of the dataset (published 2021) which additionally includes (TA, DIC, d13C-DIC and POC, PN and salinity data). All samples were collected using a 5L Niskin at ~0.5 m depth - the depth of C-worker 4 sensors. Dissolved O2, absorbance and chlorophyll samples were run in country by Winkler Method, Spectrophotometry Absorbance and Fluorescence respectively. Samples for nutrients, DOC, FDOM, TA, DIC, d13C-DIC, POC, PN were transported back to the UK for analysis. Both frozen (nutrients) and refrigerated samples (DOC and FDOM) were transported back to the UK in cool bags with frozen samples defrosting enroute back to the UK in preparation for immediate analysis. Absorbance was run a second time back in the UK at the same time as FDOM (both absorbance runs are included).

The sea temperature monitoring data (time series) acquired in 2024-2025 from 2 surface buoys moored at 75m and 500m distance from Mersin Soda Factory discharge point. Temperature sensor: DS12B20 Digital Heat Sensor produced by METU-IMS.

The ARCHYD dataset, which have been collected since 1988, represents the longest long-term hydrologic data sets in Arcachon Bay. The objectives of this monitoring programme are to assess the influence of oceanic and continental inputs on the water quality of the bay and their implications on biological processes. It also aims to estimate the effectiveness of management policies in the bay by providing information on trends and/or shifts in pressure, state, and impact variables. Sampling is carried on stations spread across the entire bay, but since 1988, the number and location of stations have changed slightly to better take into account the gradient of ocean and continental inputs. In 2005, the ARCHYD network was reduced to 8 stations that are still sampled by Ifremer to date. All the stations are sampled at a weekly frequency, at midday, alternately around the low spring tide and the high neap tide. Data are complementary to REPHY dataset. Physico-chemical measures include temperature, salinity, turbidity, suspended matters (organic, mineral), dissolved oxygen and dissolved inorganic nutrients (ammonium, nitrite+nitrate, phosphate, silicate). Biological measures include pigment proxies of phytoplankton biomass and state (chlorophyll a and phaeopigment). 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.

MARLEY (Monitoring deep-seA coRaL EcosYstems) is a deep seafloor observing system dedicated to the monitoring of cold-water coral habitats. The system is deployed in the Lampaul canyon off Brittany, France since August 2021 and maintained each year during the ChEReef-Obs cruises. The study site is a coral garden dominated by Madrepora oculata, located on a sedimented platform at 780 m depth. MARLEY is equipped with a CTD SBE 37-SIP, an oxygen optode Aanderaa (4330 or 4831), an ADCP Teledyne RDI Workhorse 300kHz, a turbidity sensor Wetlabs ECO NTU (sensitivity: 0-1000 NTU), a sediment trap Technicap PPS 4/3 – 24 bottles and a camera module. The camera module, which can be moved from up to 30 m from the main station, is equipped with a camera AXIS Q1786, two flash lights and a fluorometer & scattering meter SEA-BIRD ECO FLNTU. All sensors are controlled and synchronised by the Communication and Storage Front-end - 2nd generation (COSTOF2), which is also managing data storage. Optical sensors are protected from fouling by electrochlorination (20 seconds, each 6 hours). The oxygen optode is calibrated each year prior to deployment. These datasets provide raw data from the oxygen optode Aandera 4831, the CTD Seabird SBE37, the Wetlabs ECO NTU and the SEAR-BIRD ECO FLNTU covering the period 28/08/2021 to 19/01/2022, with a frequency of 15 minutes. Data from Wetlabs ECO NTU include raw counts and Nephelometric Turbidity Unit (NTU) derived from manufacturer’s calibration with Scale Factor = 0.0611 and Dark Counts = 50. Data form SEABIRD ECO FLNTU include raw counts at 695 nm (Chlorophyll) and 700 nm (Turbidity). Chlorophyll concentration (µg/l) is derived from manufacturer’s calibration with Scale Factor = 0.0180 and Dark Counts = 48. Nephelometric Turbidity Unit (NTU) is derived from manufacturer’s calibration with Scale Factor = 0.0481 and Dark Counts = 50. 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.

The Green Edge project was designed to investigate the onset, life and fate of a phytoplankton spring bloom (PSB) in the Arctic Ocean. The lengthening of the ice-free period and the warming of seawater, amongst other factors, have induced major changes in arctic ocean biology over the last decades. Because the PSB is at the base of the Arctic Ocean food chain, it is crucial to understand how changes in the arctic environment will affect it. Green Edge was a large multidisciplinary collaborative project bringing researchers and technicians from 28 different institutions in seven countries, together aiming at understanding these changes and their impacts on the future. The fieldwork for the Green Edge project took place over two years (2015 and 2016) and was carried out from both an ice camp and a research vessel in the Baffin Bay, Canadian arctic. Here, we describe the data set obtained during the research cruise, which took place aboard the Canadian Coast Guard Ship (CCGS) Amundsen in spring 2016. 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.

Several sea trials with the newly developed CO2 Seaglider in the Gulf of Alaska and data evaluation with discrete water and underway samples suggest near ‘weather quality’ CO2 data as defined by the Global Ocean Acidification Network. This data set describes one such data set from the CO2 Seaglider, in May of 2022. Please see publication by the same authors at https://doi.org/10.5194/egusphere-2024-1055. 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.

EC1 is a subsurface mooring that has been deployed in the Ulleung Interplain Gap (UIG) since 1996. The UIG is the only deep channel connecting the northern Japan Basin and the southwestern Ulleung Basin in the East Sea (Japan Sea). The EC1 provides continuous time series data at depths ranging from 150 to 2,250 meters, enabling scientific research on circulation and water properties. It equips current-meter, conductivity, temperature, pressure, and dissolved oxygen sensors. The EC1 mooring was recovered 3 times (26 times total) and redeployed 3 times (26 times total) from November 2020 to April 2023 (since 1996), with a typical turnover time of 1 year. The equipment has been upgraded since 1996 to continuously measure temperature, pressure, conductivity, dissolved oxygen, and the speed and direction of three-dimensional current, as well as to collect more and better time series data. The sampling intervals of all sensors are equal to or less than 60 minutes. The temperature, pressure, conductivity, and dissolved oxygen data collected from November 2020 to April 2023 were quality-assured and quality-controlled with typical procedures such as global and local range tests, spike tests, and gradient tests. The magnetic declination of 9 degrees west was applied to the current data for compass calibration.   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.

Several sea trials with the newly developed CO2 Seaglider in the Gulf of Alaska and data evaluation with discrete water and underway samples suggest near ‘weather quality’ CO2 data as defined by the Global Ocean Acidification Network. This data set describes one such data set from the CO2 Seaglider, in February of 2023. Please see publication by the same authors at https://doi.org/10.5194/egusphere-2024-1055. 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.

In May 2018, an unprecedented long and intense seismic-volcanic crisis broke out off the island of Mayotte (Indian Ocean) and was associated with the birth of the Fani Maoré underwater volcano. Since then, an integrated observation network has been created (REVOSIMA), with the given objective of monitoring and better understanding underwater volcanic phenomena. Recently, an unmanned submarine glider (SeaExplorer) has been deployed to supplement the data obtained during oceanographic surveys (MAYOBS) which are carried out on an annual basis. This glider is operated by ALSEAMAR and performed a continuous monitoring of 30 months of the water column with the objective to acquire hydrological properties, water currents and dissolved gas concentrations. This monitoring already showed that it is feasible and valuable to measure autonomously, continuously and at a high spatio-temporal scale, physical (TEMP, SAL, water currents) and biogeochemical parameters (O2, CH4, PCO2, bubbles/droplets, vertical speeds) over several months from a SeaExplorer glider. In particular, innovating sensing capabilities (e.g., MINI-CO2, ADCP) have shown a great potential in the context of the Mayotte seismic volcano crisis, despite technical challenges (complex algorithms, sensor capabilities, etc.). This dataset provides these physical and biogeochemical parameters from September 17, 2021 to April 02, 2024 and the quality flags associated.    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 contains temperature data acquired between July 2023 and June 2024 using 5 thermocrons i-buttons © installed along chains nearby the SMOOVE camera connected the SeaMoN East frame. Data was acquired every hour. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node. Location : N 37°17.334, W 32°16.534, 1692 m 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.