Memorial University has over the past 15 years been involved in various ocean glider activities with deployments focused primarily on the Newfoundland Shelf and the Labrador Sea. For example, there are four deployments with glider data in the Labrador Sea. Partnerships with Fisheries and Oceans Canada and Ocean Gliders Canada have also resulted in deployments of Memorial's gliders in the Pacific. The data contain 14’663 mission kms, 620 deployment days and 25’108 individual glider profiles. L1 NETCDF files for every deployment archived on the Memorial University’s Glider Data server are made available publicly for scientific research. Deployments vary in duration and region. All files were processed with the SOCIB glider toolbox ((Troupin et al., 2015)-[https://doi.org/10.1016/j.mio.2016.01.001]), modified by Nicolai von Oppeln-Bronikowski, 2019 for MUN glider deployments. Metadata: File creator(s), contact info, institution, applicable funding, responsible researcher(s), deployment region, deployment start, deployment end, longitude min, longitude max, latitude min, latitude max, glider type, glider configuration if known, sensors, sensor serial numbers, science data QC. Glider Data: Minimum Data: Time, Depth, Position, Depth-Averaged Current, CTD. Most Deployments: Oxy_umolL, Oxy_Calphase_DEG, Oxy_sat Some Deployments: pCO2_uatm,  pCO2_Calphase_DEG, pCO2_Dphase 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 datasets contains selected data from the underwater glider missions in Eastern Mediterranean performed in April-May and in August 2023 by Institute of Marine Sciences, Middle East Technical University (METU-IMS). The glider was donated to METU-IMS by Is Bankasi - the national commercial bank in Turkey. The underwater glider SeaExplorer X2 of ALSEAMAR is equipped with the following instruments: 1) RBRlegato³ C.T.D (non-pumped flow) with temperature, conductivity and pressure sensors; 2) JFE Advantech Co. Rinko Fast Optical DO sensor; 3) Wet Labs ECO Puck (fluorescence and turbidity); 4) Sea-Bird Scientific Deep SUNA Ocean Nitrate Sensor; 5) Altimeter. The research area is between mainland and Cyprus bounded by a rectangle with coordinates 35.52°-36.1°N, 33.2°-33.5°E. The first mission with internal number 16 was carried out in period April, 26 – May, 16, 2023, the second mission with internal number 20 was carried out in period August, 2 – August, 27, 2023. The first and last transects from each mission are included in the dataset. The dataset is submitted as zip-archive containing 110 .gz files. Each .gz file contains instrument output acquired within one glider dive cycle.

Repeat hydrography, as organized through the GO-SHIP network, is fundamental for detecting trends and variability also in the Mediterranean Sea. The Mediterranean component of GO-SHIP is MedSHIP, and TAlPro is the western Mediterranean component. The TAlPro2022 cruise consisted of 26 full depth hydrographic stations crossing the Tyrrhenian Sea from north to south, then the Algero-Provencal Basin from south to north. Here the postcalibrated bottle file data are made availiable. Postcalibration has been done by measuring dissolved oxygen and salinity on water samples collected by the rosette. The dataset contains also all chemical variables, measured in the lab.

Repeat hydrography, as organized through the GO-SHIP network, is fundamental for detecting trends and variability also in the Mediterranean Sea. The Mediterranean component of GO-SHIP is MedSHIP, and TAlPro is the western Mediterranean component. The TAlPro2022 cruise consisted of 26 full depth hydrographic stations crossing the Tyrrhenian Sea from north to south, then the Algero-Provencal Basin from south to north. Here the postcalibrated CTD data are made availiable. Postcalibration has been done by measuring dissolved oxygen and salinity on water samples collected by the rosette.

Data were collected in the southern Western Black Sea (Bulgarian and Romanian territorial waters) for the Eurofleets+ PHYCOB cruise. This submission contains CTD and nutrient data. The main scientific objectives of the research cruise are: 1) To assess the presence of toxic microalgae in the plankton assemblage of the Western Black Sea. 2) To quantitatively determine the spatial distribution of toxic phytoplankton species and their corresponding toxins in the plankton. 3) To quantitatively describe the spatial distribution of toxic phytoplankton resting stages in surface sediments and determine hotspots of recruitment and bloom initiation. 4) To define correlations among hydrographic and/or meteorological conditions and occurrence of HAB species. 5) To characterize the plankton communities accompanying HAB species together with toxin analysis of size fractionated samples. 6) To identify heterotrophic dinoflagellates, ciliates, or other small zooplankton as possible toxin vectors. 7) To isolate toxic Black Sea microalgal species and establish monoclonal cultures for characterization of Black Sea strains. 8) To perform an interseasonal comparison of toxigenic plankton species by combining the data sets collected during the R/V Akademik cruise that was performed in May/June 2019 with our data from summer. 9) To compare the data set from the Western Black Sea to the Southern (North-) Western North Sea, Baltic Sea and West Greenland obtained during earlier expeditions for site comparisons.

Repeat hydrography, as organized through the GO-SHIP network, is fundamental for detecting trends and variability also in the Mediterranean Sea. The Mediterranean component of GO-SHIP is MedSHIP, and TAlPro is the western Mediterranean component. The TAlPro2022 cruise consisted of 26 full depth hydrographic stations crossing the Tyrrhenian Sea from north to south, then the Algero-Provencal Basin from south to north. Here the postcalibrated bottle file data are made availiable. Postcalibration has been done by measuring dissolved oxygen and salinity on water samples collected by the rosette.

We gathered ocean profiles during the first two floes of the N-ICE2015 ice camp north of Svalbard with IAOOS ocean profilers. Between January and March 2015, four ocean profilers were deployed: two below a full IAOOS platform (500 m long cable) during floe 1, two on an 800 m long instrumented line in a tent-covered testing-hole during floe1 and floe 2. The ocean profilers, from French manufacturer NKE (PROVOR SPI), carried a Seabird SBE41CP CTD (Conductivity, Temperature, Depth) with an Aanderaa 4330 optode for dissolved oxygen (DO). The profilers were set to perform two profiles a day from 500 m upward (800 m from testing hole) starting at 6 am and 6 pm. They provided the first winter data in the region with a total of 138 profiles during floe 1 (January 15- February 21) with 62, 50, and 26 profiles for IAOOS7, IAOOS8, and IAOOS 9, respectively and 16 profiles during floe 2 (February 24 - March 19- IAOOS 11 from testing hole). Following quality control, we retain all the temperature profiles and remove 1% of the salinity profiles. Finally, the accuracy is estimated to be 0.002°C in temperature, and 0.02 g/kg in salinity. Several profiles are missing or incomplete because of high drift speeds (> 0.4 m s-1) impeding the ascent of the profiler. There are no bottle DO measurements during Floe 1 to calibrate the DO data. DO accuracy is estimated comparing the deep values of DO concentration (rather stable at 500m) between the three profilers. A difference of 3 µmol L-1 is observed between IAOOS 8 and 9, and IAOOS 7. An offset of 3 µmol L-1 is then applied to the oxygen data from IAOOS7 and the accuracy of the data is estimated to be at ±3 µmol L-1. The vertical resolution of the processed CTD data is 1 dbar in the upper 400 dbars, 5 dbars from 400 to 550 dbars and 10 dbars from 550 to 850 dbars. The vertical resolution in dissolved oxygen is 2 dbars over all depths. 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 and dissolved oxygen concentrations and the associated sensor raw data acquired between the 15th of January 2020 and the 15th of June 2020 on EMSO-Canarias (a.k.a. ESTOC) observatory by the EGIM. Dissolved oxygen  is one of the 7 core parameters monitored by the EGIM, EMSO Generic Instrumental Module. The EGIM prototype was deployed at the ESTOC site at 3580m depth, 100km North of Gran Canaria, to monitor local hydrodynamic variability and complement the data obtained by the ESTOC station. 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.

As part of the STeP project (STorfjorden Polynya multidisciplinary study), two moorings, M1 and M2, were deployed in Storfjorden (Svalbard) on July 14, 2016 from the French R/V L’Atalante and were recovered one year later, on September 28, 2017, from the French R/V Pourquoi-Pas?. The two moorings, deployed a few hundred meters apart at 78°N and 20°E at a depth of 100m, documented the formation of dense Brine-enriched Shelf Water (BSW).  The moorings included both physical oceanography (PO) and biogeochemistry sensors. The present dataset is composed of PO data only: the 3 components of the currents, backscatter, salinity, temperature and dissolved oxygen. PO sensors on M1, spanning the whole water column, included 6 Seabird SBE37 microcat (CTD),  15 RBR solo (T), and 1 RBR duet (TD) for hydrography, while currents were monitored with a RDI WH 300kHz upward looking ADCP and 1 Nortek Aquadopp underneath. PO sensors on the shorter M2 mooring included 1 Seabird SBE63 (CTD-O2), 1 RBR solo (T) and 1 RBR duo (TD). Data have been calibrated and validated and the different steps of this processing are discussed in the technical report provided with the dataset. Two netcdf4 files are provided for M1: one for hydrography (STEP2016_M1_hydrography.nc), the other one (STEP2016_M1_current.nc)  for currents and backscatter. Only one netcdf4 files (STEP2016_M2_hydrography.nc) is provided for the shorter M2. Temperature and salinity data from SBE sensors have been interpolated on a common time grid with a 20’ time step. Likewise temperature data from RBR are provided on a 30” time grid. A merged SBE-RBR dataset has also been built for increased vertical resolution, providing temperature every 20’. ADCP data are provided on a 100’ time grid. The user is referred to the technical report provided with the dataset for further information on the different fields. 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.

EMSO is a European network of seabed and fixed-point water column observatories whose scientific objective is to acquire long time series in the seas around Europe for the study of environmental processes related to interactions between geosphere, biosphere and hydrosphere. MAREGAMI project (MARine Earthquake Gap Assessment and Monitoring for Istanbul) is a bilateral Turkish-French collaborative project coordinated by IFREMER and Istanbul Technical University and funded by ANR and TÜBITAK. The goal of MAREGAMI was the development of new methods and monitoring strategies to assess earthquake and tsunami risks related to offshore faults, with tasks: (1) Marine geodesy: acquisition and processing of geodetic submarine data, (2) Hydrodynamics and specific depositional processes: water column data acquisition and hydrodynamic modeling, (3) Improving earthquake relocation with ocean bottom instruments, (4) Designing an optimal and sustainable network of submarine sensors. Data distributed here were acquired for MAREGAMI Task 2.  These consist of time series acquired during 4 deployments on the sealfoor perfomed between January 2018 and November 2020 of an instrumented frame holding a RBR bottom pressure recorder (BPR) and a Seaguard recording current meter (RCM) equipped with additional sensors (conductivity, oxygen, tide pressure end temperature). The acquisition and distribution of marine data time series in the Sea of Marmara is funded by EMSO-France Research Infrastructure, EMSO-Link, and MAREGAMI projet. DT-INSU provided operational support and instrumentation. 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.