Physical data associated with the AMAZOMIX cruise. The Amazon shelf encompasses a variety of physical processes, such as fluvial inputs, coastal currents, mesoscale, filaments, tides, internal waves and upwelling, influencing nutrient concentrations, chlorophyll and suspended matter. They also affect energy, salt and heat balances; parameters that condition physical/biogeochemical interactions and ecosystem functioning, from bacteria to plankton to fish resources. In particular, internal tidal waves are very energetic in this region. They impact biogeochemical cycles via the vertical mixture induced by their dissipation or vertical movements induced by their propagation. They thus allow a significant input of nutriments into the euphotic layer enhancing primary production, as observed on the surface from watercolour data. Internal tidal waves could thus influence the biological pump and the carbon cycle. In addition, overall marine biodiversity of the region, from bacteria to fish is not well described. The connectivity of species in the tropical Atlantic is also still an open question. The Caribbean region is by far more bio-diverse than the Brazilian one. One of the hypotheses is that the Amazon plume, which can extend up to 3,000 km off the mouth, would constitute a barrier for some organisms. The Amazon Shelf is thus an ideal experimental laboratory to study the impact of physical processes on the structure and function of neritic and oceanic marine ecosystems. In this context, the objective of the multidisciplinary AMAZOMIX survey was to study the impact of the Amazon River plume, internal tides and associated turbulent mixing, on marine ecosystem in contrasting regions off the Amazon shelf. For that purpose, the multidisciplinary AMAZOMIX project brings together physicists, biogeochemists, bioopticians and biologists. The sampling strategy consists in the simultaneous acquisition of a comprehensive set of environmental and biological compartments, including micro-organisms (bacteria, phyto and zooplankton) and higher trophic levels (micronekton, demersal and pelagic fish). AMAZOMIX is the first campaign to develop this multi-disciplinary approach off the Amazon shelf. In situ results will be analysed in interaction with digital tools and data, modelling (1/36°, with and without tides, 1/12° coupled) and satellite data analyses. This dataset contains the AMAZOMIX 2021 qualified measurements of  - The hydrographic CTD-02 (netCDF and csv text files) - Ship Acoustic Doppler Current Profilers (OS 75 kHz, netCDF and csv text files) - Lowered Acoustic Doppler Current Profilers (WH300 downlooking and WH300 uplooking, netCDF and csv text files) - Thermosalinometer (netCDF and csv text files) - Vertical microstructure profile (VMP-250, binary file)   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 ReZoEnv field campaign was conducted at 9 sites distributed within contrasted seagrass (Zostera notlei) meadows in the Arcachon Bay. This multi-parameter survey was conducted during one year (November 2015 – November 2016). Water levels, temperature and light were recorded every 10 minutes. While bed sediment characteristics (granulometry, water content, organic matter content), seagrass characteristics (coverage, biometry, chlorophyll and CNP content) were measured monthly. Additionally, wind-wave parameters were obtained from high frequency pressure sensor at 4 sites, every 20 minutes. List of sites : ANDE : 44.745091 N, 1.121366 O FONT : 44.722631 N, 1.080133 O GAIL : 44.662573 N, 1.099575 O GARR : 44.705132 N, 1.121562 O HAUT : 44.729331 N, 1.15608 O ILE : 44.683117 N, 1.162716 O JACQ : 44.724563 N, 1.181109 O PASS : 44.689927 N, 1.089491 O ROCH : 44.648529 N, 1.127736 O 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 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.

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.

This dataset consists of a glider deployment in greater Te Moana-o-Raukawa (Cook Strait) as part of the DeepSouth National Science Challenge in Aotearoa New Zealand. This submission continues from previous deployments uploaded to SEANOE (doi:10.17882/76530). Survey uses a Teledyne Webb Research Slocum G2 glider equipped with a pumped SeaBird CTD to measure conductivity, temperature, and pressure, along with instruments to measure dissolved oxygen, chlorophyll-a fluorescence, backscatter at 470, 532, 660, and 700nm, chromophoric dissolved organic matter (CDOM), and photosynthetically active radiation (PAR). Part-way through the deployment, in order to save battery, the science package was turned on only during downcasts and these subsequently appear as empty casts in the dataset. Science data were processed using the GEOMAR Glider Toolbox (https://git.geomar.de/open-source/geomar_glider_toolbox). Comparison with the previously-utilized SOCIB (Troupin et al. (2015), doi: 10.1016/j.mio.2016.01.001) toolbox shows negligible differences in outputs. Data have been averaged into vertical bins of 1dBar (~1m). Despite processing to minimize lag-error in salinity (following Garau et al., 2011, doi: 10.1175/JTECH-D-10-0503.1), some casts (n=10, out of 4246 total) were made empty after visual inspection in T-S space. Oxygen data were lag-corrected, whereas other variables are presented as-is without further processing. Depth-integrated water velocity derived from GPS and dead-reckoning are included. 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 RESILIENCE experiment took place in April and May 2022 on the R/V Marion Dufresne in the Southwestern Indian Ocean, South of the Mozambique Chanel and offshore of Durban (South Africa). The main scientific objective was to study the interaction at fine scale (about 10km) between physics and biology. To do so CTD stations were performed accompanied by MVP profiles, measuring temperature, conductivity (hence salinity) and fluorescence. The MVP is performing profiles downward in a free-fall mode and upward, towed by a cable. This instrument is subject to many errors. Here we have first corrected the sensors offset between the CTD and MVP. Second, we have also corrected the thermistor viscous heating and the thermal lag between the thermistor and the conductivity cell. Third, we have corrected the thermal mass error on the lowering profiles. Only temperature and conductivity/salinity measurements are corrected. 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 measurements of Secchi depth were done within Estonia-Latvia transboundary project "Towards joint management of the transboundary Gauja/Koiva river basin district" for harmonization of water quality classification system for transboundary water bodies in the Gauja/Koiva river basin district and adjacent areas (in Estonia) in the Gulf of Riga." The measurements were done once in August 2012 along with underwater video observation, SPM, TN, TC, Chlorophyll a and CTD measurements in coastal waters in shallow part (2 - 12m) of the East coast of the Gulf of Riga. Data were used for Final report on assessment of the quality status of the transboundary water bodies (coastal, lakes, rivers) in Gauja/Koiva river basin district (2013. Kalvane I. and Veidemane K. (eds.))

The measurements of SPM, particulate TN, TC, Fe, Mn, Al and chlorophyll a, as well as light absorption at 750 nm and 380 nm were done within Estonia-Latvia transboundary project "Towards joint management of the transboundary Gauja/Koiva river basin district" for harmonization of water quality classification system for transboundary water bodies in the Gauja/Koiva river basin district and adjacent areas (in Estonia) in the Gulf of Riga." Measurements were done once in August 2012 along with underwater video observation, water transparency and CTD measurements in coastal waters in shallow part (2 - 12m) of the East coast of the Gulf of Riga. Data were used for Final report on assessment of the quality status of the transboundary water bodies (coastal, lakes, rivers) in Gauja/Koiva river basin district (2013. Kalvane I. and Veidemane K. (eds.))

This dataset contains turbidity (NTU) data acquired between August 2018 and June 2019 using a Wetlabs turbidimeter (ECO-BBRTD, serial # 215R) installed horizontally at 1.5 m height at the top of the SeaMoN East frame. The sensor was not calibrated as the sizes of the natural particles are unknown. Data was acquired every 15 minutes. The instrument is part of the SeaMoN East ecological monitoring node deployed at ca 10m away from the active hydrothermal edifice Tour Eiffel. Deployment : 2018/08/23 -Victor 6000 Dive 707-12 (Momarsat 2018 cruise https://doi.org/10.17600/18000514) Recovery : 2019/06/15 - Nautile dive 1942-04 (Momarsat 2019 cruise (https://doi.org/10.17600/18001110)-[https://doi.org/10.17600/18000514]) Location : 37.8N, 36.77S, -31.64E, -32.91W   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 turbidity (NTU) data acquired between April 2015 and September 2016 using a Wetlabs turbidimeter (ECO-BBRTD, serial # 215R) installed horizontally at 1.5 m height at the top of the SeaMoN East frame. The sensor was not calibrated as the sizes of the natural particles are unknown. Data was acquired every 15 minutes. The instrument is part of the SeaMoN East ecological monitoring node. 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.