The investigations of Blekinge coast started in 1978. In 1990 the program "Blekinge Kustvattenkontrollprogram" Blekinge Coastal water control programme, was formed, building on the stations sampled earlier, but with extended sampling.

The Slocum G2 Glider MIA was deployed in the Gulf of Finland, Baltic Sea, in May-June 2018. The glider sampled an 18 km long section (S–N direction). This data set is the processed delayed time CTD data from that mission. Processing included applying standard quality control and considering response times and thermal lag. The data were binned, and half YOS were arranged as profiles, meaning the variables in the data set are presented as 2D 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.

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.

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 .

Part of Deliverable 6.1 of GENIALG Project. Datasets used for parametrisation and validation of models and evaluation of farm footprint. The dataset consists of continuous and spot sampling records of temperature, salinity (conductivity), turbidity, Secchi disk depths, irradiance (as PAR), nutrients and suspended matter content in water samples. Records obtain at Ventry Harbour test farm between September 2017 and October 2019 during GENIALG project (project ID: 727892, GENIALG - GENetic diversity exploitation for Innovative Macro-ALGal biorefinery, http://genialgproject.eu/). GENIALG was funded by the European Union Horizon2020 programme. The remit of the work was assessing the environmental footprint and ecosystem services provided by seaweed aquaculture in Europe to provide best practice advice to industry.