The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.

The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.

The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.

The dataset contains pairs of files with thermosalinograph data acquiured underway during the cruise. The first file in a pair named "tsgXX", where XX is sequentional number, contains raw output of thermosalinograph. Each record in the file contains: global time (seconds from 01/01/1970), temperature value, and salinity value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The thermosalinograph model: SBE 45 MicroTSG of Sea-Bird Electronics.

The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.

The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.

This dataset was produced during the Eurofleets + PORO-CLIM cruise. Project PORO-CLIM was conceived to study interplay between the first-order geological processes of continental rifting and break-up, Large Igneous Province emplacement, and global climate change, and to provide ship-based training for a cohort of international students. Cruise CE21008, the PORO-CLIM data acquisition cruise, carried out a marine geophysical survey of the POrcupine and ROckall continental passive margins, to investigate the cause of the Paleocene/Eocene Thermal Maximum, a natural CLIMate change event that is the closest deep-time analogue of anthropogenic environmental change (though the modern change is happening much faster). Project PORO-CLIM also includes a three-year post-cruise data work-up phase. The €1.2M project is funded by the EU Horizon 2020 EuroFleets+ programme, the PIPCO-RSG industrial consortium and the Irish Marine Research Programme. OBJECTIVES OF CRUISE CE21008 1. A controlled-source deep seismic imaging programme using 27 Ocean Bottom Seismometers (OBSs) and a 1 km multi-channel seismic streamer of the following targets: (a) Rockall Plateau passive margin and Erriador Ridge. (b) Porcupine Seabight, Porcupine passive margin abyssal plain and the East Thulean Rise. 2. Provide multi-disciplinary training early career researcher (masters and PhD level) in techniques of controlled source seismology (OBS and MCS), physical oceanography and marine mammal observing, and in research areas of mantle processes, tectonic processes, sedimentary processes and physical oceanographic processes. 3. Carry out an outreach programme, led by the early career researcher team, that communicates scientific and technical aspects of the work to an audience from primary school children to adults. SUMMARY CRUISE NARRATIVE Despite the Covid pandemic, the cruise went ahead with a science party of 13, including about half the planned compliment of early career researchers. The cruise began after a 14-day pre-cruise lock-down period, followed by Covid-safe travel to the vessel. We lost 1.5 days at the start owing to equipment shipping delays. At sea we had 4.5 days of full weather downtime, and had to alter our work programme on a further 4.5 days, mostly to avoid bad weather, and the rest (1 day) because of OBS equipment failure. Nevertheless, we ended by acquiring the 1st and 3rd on our priority list of deep seismic profiles. We made 47 ocean bottom seismometers (OBS) deployments, acquired 800 km of seismic reflection data and coincident magnetometer data, and deployed 66 expendable bathythermograph (XBT) probes. The data are of good quality and can address all the scientific aims. The outreach objective was particularly successful, and generated over 100,000 audience engagements across Europe and beyond. LONG-TERM OBJECTIVES OF PORO-CLIM The following objectives will be addressed based directly on the dataset acquired on cruise CE21008 over the next three years. 1. Obtain continuous mantle temperature history from Late Cretaceous (Santonian) to Eocene. 2. Test models for initiation of the North Atlantic Igneous Province (NAIP). 3. Test whether the NAIP alone drove the Paleocene/Eocene Thermal Maximum (PETM) global warming event. 4. Explain the temporal transition from magma-poor to magma-rich passive margins in the North Atlantic. Successful hypotheses tests would confirm the dominant role of mantle temperature in controlling passive margin structure [24]. 5. Image continental rifting modes within Porcupine Basin. 6. Determine how the palaeogeography and sediment supply systems of Porcupine and Rockall Basins evolved through Cretaceous-Eocene. 7. Infer Cretaceous-Cenozoic deep-water palaeoceanographic evolution from the seismic architecture of contourite sediment drifts. Submitted underway data to EMODnet Data Ingestion: AIS, EUcaws, fluorometer, Gill wind direction, SBE21 thermosalinograph. The €1.2M project is funded by the EU Horizon 2020 EuroFleets+ programme, the PIPCORSG industrial consortium and the Irish Marine Research Programme .

The COAST-HF-MAREL-Iroise buoy is a scientific plateform to monitor at high frequency (subhourly) and for long term (since 2000) the coastal ecosystem of the Bay of Brest, which is impacted by both continental and Iroise Sea inputs.This buoy is a part of the national observation network COAST-HF - COAstal ocean observing system-HighFrequency (http://somlit.epoc.u-bordeaux1.fr/fr/). Both data base are complementary so that manual data are used to qualify and/or correct buoy’s data (e. g. for temperature, salinity and dissolved oxyge). Corrected data are subsequently called « adjusted-parameter » in the Iroise data base. Manual SOMLIT-Portzic data are also systematically used to convert fluorescence sensor data collected in raw fluorescence unit(FFU) into « eq-µg/L of  chlorophyll » : all fluorescence data are then available as « adjusted-fluorecence » in the data base. Precision estimated of the complete data collection process is : temperature (±0.1°C), conductivity (±0.3mS/cm), dissolved oxygen (±10%), in vivo fluorescence (±10%), and turbidity (±10%). By the mean of two additional sensors, these core parameters are completed by aerial Photosynthetic Activated Radiation (PAR) and FugacityCO2 (±3µatm). The data can be viewed on the website: https://www.coriolis-cotier.org/. 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.

Hydrological data have been collected during 7 oceanographic cruises, named medgoos, organized in the Sardinia Sea and in the Sardinia Channel between May 2000 and January 2004 (table 1) by the Italian Consiglio Nazionale delle Ricerche (CNR). Tab.1 Image Reference: https://www.seanoe.org/data/00487/59867/illustrations/illustration-66.gif. The 61,30 meters long R/V Urania of CNR was used during all cruises. Data of conductivity, temperature, dissolved oxygen (DO) and Chlorophyll-a fluorescence (Chl-a) were acquired by a SBE911 plus CTD probe (Sea-Bird Inc.) equipped with a 24 Niskin bottle rosette for water column samples collection. The CTD data were quality checked and processed by Seasoft software. Then salinity was checked against the on-board analyses of water samples by a Guildline-Autosal salinometer. The same for DO data checked against Winkler titration analyses. Chl-a data were not calibrated, so they are reported as Relative Fluorescence Units. During cruises from medgoos4 to medgoos7 acquired temperature data were checked at defined depths against inverted thermometers installed in correspondence of the Niskin bottles number 1, 3, 5, 7 of the rosette sampler. Pre-cruise and post-cruise calibrations of the sensors were performed at the SACLANT Center (now NATO-CMRE) of La Spezia (Italy). Redundant sensors were often used for both temperature and salinity measurements, apart during the medgoos1 and medgoos2 cruises. The vessel was positioned using an integrated navigation system consisting of two DGPS antennas managed by Andrews Hydrographics software installed on HP 386, 33 MHz PCs. The data set is provided per cruise as ODV Spreadsheet files in TXT format: Cruise name Station number Type of acquisition (here C) Date in mon/day/yr and Time in hh:mm Coordinates in Longitude [degrees_east] and Latitude [degrees_north] Bot. Depth [m] Ship name Pressure, Digiquartz [db] Conductivity [mS/cm] Fluorescence, Seatech Temperature [deg C]; IPTS-68 in medgoos1; ITS-68 in medgoos2, 6; ITS-90 in medgoos3, 4, 5, 7 Oxygen, Beckman/YSI , WS = 3 [ml/l] Depth [salt water, m] Practical Salinity from Conductivity [PSS-78] 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.