cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/86403
title: MedFever : An expanding network of citizen-run observatories monitoring shallow coastal underwater temperatures in Italy

description: MedFever – An expanding network of 12 small observatories was established in the Tyrrhenian Sea in 2021 by MedSharks and ENEA, building on the experience of an observation point established in 2016 in the Gulf of Naples. Very high frequency measurements (15 minutes) at some standard depths (5-15-35m; occasionally at 10-20-25-30-50-60m) were obtained by voluntary diving centers using calibrated HOBO sensors (after calibration accuracy is about ±0.1 °C) in 12 stations evenly covering the Tyrrhenian sea. Due to various technical problems, some records are missing. The dataset proposed here will be upgraded annually.
DOI: 10.17882/86400
title: MARS3D / AGRIF model configuration for the Bay of Brest

description: This repository provides the source code written in Fortran 90 language based on MARS3D model code (Lazure and Dumas, 2008) implemented with the AGRIF library (Adaptive Grid Refinement In Fortran from Debreu et al. (2008)). It also contains the bathymetric grids and the input namelist files. The MARS3D/AGRIF model is setup over the Iroise sea (geographic limits 47.74°N - 48.82°N and 4.08°W - 5.55°W) with a horizontal grid resolution of 250m. A zoom over the Bay of Brest is introduced with a resolution of 50m (geographic limits 48.20°N - 48.44°N and 4.09°W - 4.72°W). The time and space refinement factors are both equal to 5. The vertical discretization is performed with 20 equidistant σ-layers in both grids. The timestep for mother grid is set to 30s which consequently leads to 6s for the child grid. The bathymetries are interpolated from a combination of different digital terrain models (SHOM, Ifremer, IGN). The Iroise model is forced by harmonic components from the SHOM CST-France model (Le Roy and Simon, 2003). The 3D open boundary conditions for temperature and salinity are imposed at hourly frequency from a regional configuration based on a hindcast (Caillaud et al., 2016). Freshwater inputs for the four main rivers in the Bay were taken from the French HYDRO database and corrected with corresponding watershed surface rates The horizontal turbulent closure consists of a Laplacian operator with a constant turbulent viscosity coefficient. This coefficient was set to 0.5 m2 s−1. The vertical turbulent closure is performed using the generalised length-scale parametrisation with a two-equation k-ε model. For the child grid, the surface drag coefficient was set uniformly to obtain the optimum validation of the currents in the Bay of Brest. However, the bottom drag coefficient relied on the Prandtl theory of the bottom boundary layer and its logarithmical shape. It includes in its formulation a classical roughness scale, which was spatialised according to a recent sedimentological map (Gregoire et al. 2016).
DOI: 10.17882/86384
title: Function (R) to estimate F490, the ratio between Chlorophyll-A profile and Fluorescence profile as a function of the downwelling irradiance profile measured at 490nm

description: This Function (R) is a supplementary material associated to the following article : Xing Xiaogang, Morel Andre, Claustre Herve, Antoine David, D'Ortenzio Fabrizio, Poteau Antoine, Mignot Alexandre (2011). Combined processing and mutual interpretation of radiometry and fluorimetry from autonomous profiling Bio-Argo floats: Chlorophyll a retrieval. Journal Of Geophysical Research-oceans, 116, -. https://doi.org/10.1029/2010JC006899
DOI: 10.17882/86372
title: Macro marine litter along italian coastal areas in the Pelagos sanctuary - SeaCleaner project

description: Since 2013, SeaCleaner has involved an ever-growing number of students, researchers and volunteer citizens in monitoring the Anthropogenic Marine Debris (AMD) found stranded on our shores, by means of a protocol developed following both the Marine Strategy Framework Directives (MSFD) and the OSPAR protocol previously used and tested for several years, especially in Northern Europe. The original protocol, used for collecting and cataloguing the different types and sizes of such waste, has been simplified and adapted to the local specificities identified on our Italian beaches, in the locations monitored, to allow it to be used by volunteers and also by high school students, thus combining the research side with the educational side. The dataset proposed here collects data acquired from 2014 to 2015 in the italian coastal area of Pelagos Sanctuary. In detail into: Cinque Terre National Park, Porto Venere Natural Regional Park, Lerici beach, Migliarino-San Rossore-Massaciuccoli Regional Natural Park and Pianosa island included in Tuscan Archipelago.
DOI: 10.17882/86233
title: An ISIS-Fish database describing monthly spatial dynamics of the Bay of Biscay mixed demersal fishery

description: We propose a database to describe the Bay of Biscay mixed demersal European fishery for the ISIS-Fish simulation tool. It was built upon national and European fishing databases, scientific survey datasets, models estimates, literature, and the formulation of assumptions.It accounts explicitly for spatial and seasonal processes, and for mixed fisheries phenomenons. This database encompasses population dynamics for 3 stocks, hake, sole and Norway lobster, exploitation dynamics for numerous fleets and métiers, and the description of current fishing management, as well as fishers adaptation. A calibration procedure was designed to ensure consistency between all these diverse and heterogeneous parameters compiled and estimated in the ISIS-Fish database and to ensure the model reproduces closely historical catch patterns. This database is a starting point towards operational simulations, of use for understanding the functioning of the fishery, the assessment of management strategies, or delivering short and long-term scenarii. It can be used to reproduce historical catch patterns, with room for improvement on some inter-annual and spatial dynamics.
DOI: 10.17882/86206
title: Processed physical oceanographic data in Uruguay during autumn 2016

description: Data related to the article: Shelf Water Export at the Brazil-Malvinas Confluence Evidenced From Combined In-situ and Satellite Observations. By Gaston Manta, Sabrina Speich, Marcelo Barreiro, Romina Trinchin, Camila de Mello, Remi Laxenaire and Alberto R. Piola. Oceanographic dataset of CTD, TSG, and ADCP campaign in Uruguay during April-May 2016 (see the paper). CTD_Manta_etal_2022.nc contains the 82 CTD profiles There are matrices of 4219 * 82. 4219 is the maximum pressure reached by a station. The rest is filled with NaNs. TSG_Manta_etal_2022.csv is the TSG data with a 10 minute centered moving average and a coarse calibration of the fluorometer (see the paper). ADCP_Manta_etal_2022.nc are u and v velocities from the hull-mounted ADCP, matrices of depth (50)x time(18500) processed with cascade and tide corrected. Water_samples_Manta_etal_2022.csv Contains nutrients and chlorophyll-a at 5m depth. (Time is always in MatLab datenum format and in year-month-day-hour-minute-second) You can find more details about the data in the paper and also here http://data.utm.csic.es/geonetwork/srv/eng/catalog.search#/metadata/urn:SDN:CSR:LOCAL:29SG20160408
DOI: 10.17882/86110
title: List of deep-sea benthic video stations collected during the iMAR 2021/Eurofleets+ research cruise in Mid Atlantic Ridge (Azores EEZ)

description: This dataset was collected during the iMAR cruise “The Integrated assessment of the distribution of Vulnerable Marine Ecosystem along the Mid-Atlantic Ridge (MAR) in the Azores region”, that took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research (NIOZ) between May 19th and June 2nd 2021. The iMAR cruise aimed to evaluate the role of the MAR in shaping latitudinal and trans-Atlantic patterns in deep-sea biogeography, connectivity and assemblages of deep-sea megafauna. This expedition was funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic, and was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute and University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). The deep-sea benthic communities were mapped using the NIOZ towed camera system. The Hopper system generated a series of high-definition video transects in each area explored, starting from the deepest point (set at 1,200 m approx.) and moving upwards towards the seamount or ridge summit (700 m to 300 m depth). During the iMAR cruise, 22 stations for Hopper video transects were performed (Table 1), mainly in the North portion of the MAR inside the Exclusive Economic Zone around the Azores, which produced approximately 54 hours of bottom time, along 48 km of seafloor.
DOI: 10.17882/86107
title: SVP data collected during the iMAR 2021/Eurofleets+ research cruise in Mid Atlantic Ridge (Azores EEZ)

description: This dataset was produced during the iMAR cruise “The Integrated assessment of the distribution of Vulnerable Marine Ecosystem along the Mid-Atlantic Ridge (MAR) in the Azores region”, that took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research between May 19th and June 2nd 2021. The iMAR cruise aimed to evaluate the role of the MAR in shaping latitudinal and trans-Atlantic patterns in deep-sea biogeography, connectivity and assemblages of deep-sea megafauna. This expedition was funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic, and was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute and University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). Vertical CTD Seabird SBE 32 /Rosette profiles were conducted at 19 stations to generate Sound Velocity Profiles (Table 1), mainly in the North portion of the MAR in the Exclusive Economic Zone around the Azores. The “.cnv” files contain the sound velocity data binned to 1 m depth intervals using the “bin average”.
DOI: 10.17882/86106
title: CTD data collected during the iMAR 2021/Eurofleets+ research cruise in Mid Atlantic Ridge (Azores EEZ)

description: This dataset was produced during the iMAR cruise “The Integrated assessment of the distribution of Vulnerable Marine Ecosystem along the Mid-Atlantic Ridge (MAR) in the Azores region”, that took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research between May 18th and June 2nd 2021. The iMAR cruise aimed to evaluate the role of the MAR in shaping latitudinal and trans-Atlantic patterns in deep-sea biogeography, connectivity and assemblages of deep-sea megafauna. This expedition was funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic, and was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute and University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). Vertical CTD/Rosette profiles were conducted with the CTD Seabird SBE 32 at 19 stations to measure physical and chemical seawater properties that characterize the dominant water masses described for the North MAR region of the Azores (Table 1). The “.CNV” files of fully processed data contain data of twenty-two parameters interpolated at 1-meter bins, (Table 2), mainly in the North portion of the MAR in the Exclusive Economic Zone around the Azores.
DOI: 10.17882/86103
title: List of stations with data collected during the iMAR 2021/Eurofleets+ research cruise in Mid Atlantic Ridge (Azores EEZ)

description: This dataset contain the metadata for all stations conducted during the iMAR cruise “The Integrated assessment of the distribution of Vulnerable Marine Ecosystem along the Mid-Atlantic Ridge (MAR) in the Azores region”, that took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research between May 19th and June 2nd 2021. This expedition was funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic, and was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute and University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). Statistics: Cruise duration was 17 days, 2,500 km of transits, 6 areas visited, 5,500 km2 of mapped seabed (mainly in the North portion of the MAR in the EEZ around the Azores), 19 dives with the NIOZ video system that resulted in 54 hours of deep-sea images over 48 km of the seabed, 13 stations for the analysis of water mass properties and to collect sediments, which resulted in 380 samples for environmental DNA, 280 samples for nutrient analyses, 27 sediment samples for geological analyses, 24 for microplastic analyses, 10 samples for bacteriological, and 10 samples meiofauna analyses.
DOI: 10.17882/86019
title: ADCP data collected during the iMAR 2021/Eurofleets+ research cruise in Mid Atlantic Ridge (Azores EEZ)

description: This dataset was produced during the iMAR cruise “The Integrated assessment of the distribution of Vulnerable Marine Ecosystem along the Mid-Atlantic Ridge (MAR) in the Azores region”, that took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research between May 19th and June 2nd 2021. The iMAR cruise aimed to evaluate the role of the MAR in shaping latitudinal and trans-Atlantic patterns in deep-sea biogeography, connectivity and assemblages of deep-sea megafauna. This expedition was funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic, and was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute and University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). ADCP data was collected at 34 stations during the iMAR cruise, mainly in the North portion of the MAR in the EEZ around the Azores (Table 1). This dataset contain the “.ENR” and another 9 file types with the same name structure but different extensions (.ENS; .ENX; .TXT; .LTA; .N1R; .N2R; .NMS; .STA; .VMO). VmDas Quick Start Guide: “.ENR” raw ADCP data file; “.ENS” ADCP data after having been screened for RSSI and correlation by VmDas; “.ENX” ADCP single-ping data (plus NAV) after having been bin-mapped, transformed to Earth coordinates, and screened for error velocity, vertical velocity, and false targets. “.LTA” ADCP (plus NAV) data that has been averaged using the long time period; “.N1R” and “.N2R” Raw NMEA data files; includes ADCP time stamps; “.N1R” extension is used for single-port NMEA data collection, or for GPS position data (Nav) in dual-port collection mode. The “.N2R” extension is used for Roll/Pitch/Heading (RPH) data collection when using two serial ports for NMEA data collection. “.NMS” Binary format NAV data file after having been screened and pre-averaged. “.STA” ADCP (plus NAV) data that has been averaged using the short time period; “.VMO” the option settings used for collecting the data (text file).
DOI: 10.17882/85926
title: Multibeam Raw Data collected during the iMAR 2021/Eurofleets+ research cruise in Mid Atlantic Ridge (Azores EEZ)

description: The iMAR cruise “The Integrated assessment of the distribution of Vulnerable Marine Ecosystem along the Mid-Atlantic Ridge (MAR) in the Azores region” took place aboard the Research Vessel Pelagia of the Royal Netherlands Institute for Sea Research (NIOZ) between May 19th and June 2nd 2021. This expedition was funded by the SEA OCEANS program of Eurofleets+ and the H2020 European project iAtlantic, and was led by the University of the Azores (Portugal) in collaboration with the Hydrographic Institute and University of Porto (Portugal), the University of Aarhus (Denmark), the National Oceanography Center (United Kingdom), GEOMAR (Germany), the University Museum of Bergen (Norway), the PP Shirshov Institute of Oceanology (Russia), and the University of Vale do Itajaí (Brazil). During the iMAR cruise we performed 28 stations for multibeam surveys, summing 171:30 hours of surveys, 5,500 km2 of mapped seabed (mainly in the North portion of the MAR in the Exclusive Economic Zone around the Azores), in 8 main areas and during many of the 2,500 km of transits All multibeam data processing was treated by Leonor Neves de Sousa (Instituto Hidrográfico) with the software “CARIS HIPS & SIPS”.These are the .all files of multibeam row data about 28 stations, between 18 May and 2 June, with information about seamounts, ridges and depressions of the Mid-Atlantic Ridge in the Azores.
DOI: 10.17882/85836
title: Data from the inter-comparison of the spatial distribution of methane in the water column from seafloor emissions at two sites in the Western Black Sea, using a multi-technique approach

description: Understanding the dynamics and fate of methane (CH4) release from oceanic seepages on margins and shelves into the water column, and quantifying the budget of its total discharge at different spatial and temporal scales, currently represents a major scientific undertaking. Previous works on the fate of methane escaping from the seafloor underlined the challenge in both, estimating its concentration distribution and identifying gradients. In April 2019, the Envri Methane Cruise has been conducted onboard the R/V Mare Nigrum in the Western Black Sea to investigate two shallow methane seep sites at ∼120 m and ∼55 m water depth. Dissolved CH4 measurements were conducted with two continuous in-situ sensors: a membrane inlet laser spectrometer (MILS) and a commercial methane sensor (METS) from Franatech GmbH. Additionally, discrete water samples were collected from CTD-Rosette deployment and standard laboratory methane analysis was performed by gas chromatography coupled with either purge-and-trap or headspace techniques. The resulting vertical profiles (from both in situ and discrete water sample measurements) of dissolved methane concentration follow an expected exponential dissolution function at both sites. At the deeper site, high dissolved methane concentrations are detected up to ∼45 m from the seabed, while at the sea surface dissolved methane was in equilibrium with the atmospheric concentration. At the shallower site, sea surface CH4 concentrations were four times higher than the expected equilibrium value. Our results seem to support that methane may be transferred from the sea to the atmosphere, depending on local water depths. In accordance with previous studies, the shallower the water, the more likely is a sea-to-atmosphere transport of methane. High spatial resolution surface data also support this hypothesis. Well localized methane enriched waters were found near the surface at both sites, but their locations appear to be decoupled with the ones of the seafloor seepages. This highlights the need of better understanding the processes responsible for the transport and transformation of the dissolved methane in the water column, especially in stratified water masses like in the Black Sea. © DOI: 10.3389/feart.2021.626372
DOI: 10.17882/85830
title: Surf Smelt Embryo and Larvae Data

description: Data found here were used for the following research: Surf smelt (Hypomesus pretiosus) are ecologically critical forage fish in the North Pacific ecosystem. As obligate beach spawners, surf smelt embryos are exposed to wide-ranging marine and terrestrial environmental conditions. Despite this fact, very few studies have assessed surf smelt tolerance to climate stressors. The purpose of this study was to examine the interactive effects of climate co-stressors ocean warming and acidification on the energy demands of embryonic and larval surf smelt. Surf smelt embryos and larvae were collected from spawning beaches and placed into treatment basins under three temperature treatments (13°C, 15°C, and 18°C) and two total carbon (CT) treatments (~2018 and ~ 2060 µmol kg SW-1), which corresponded to pCO2 (i.e. ocean acidification) levels of approximately 790 and 2340 µatm. Increased temperature significantly decreased yolk size in surf smelt embryos and larvae. Embryo yolk sacs in high temperature treatments were on average 7.3% smaller than embryo yolk sacs from ambient temperature water. Larval yolk and oil globules mirrored this trend. Larval yolk sacs in the high temperature treatment were 45.8% smaller and oil globules 31.9% smaller compared to larvae in ambient temperature. In addition, the interaction between acidification and temperature significantly increased surf smelt embryo heart rates by 5% above ambient conditions. There was also a significant positive effect of acidification on embryo yolk size, indicating embryos used less maternally-provisioned energy under acidification scenarios. These results indicate that near-future climate change scenarios may impact the energy demands of developing surf smelt, leading to potential effects on surf smelt fitness and contributing to variability in adult recruitment.
DOI: 10.17882/85452
title: Argentine continental shelf currents 2015-2017 from upward-looking ADCPs

description: Zonal and meridional velocities each 4 m in the vertical from upward-looking ADCPs with a 30 minutes temporal resolution measured in two locations of the Argentine continental shelf along 44.7°S from 2015 to 2017 (several papers under review)
DOI: 10.17882/85233
title: CTD Casts in Bonne Bay August 2019

description: CTD casts collected in East Arm and Bonne Bay during August 3-4 to measure the density stratification with depth. Cast depths range from 50 to 200 m.