AndreaBozzo/ceres-open-data-index huggingface dataset:
Inorganic carbon and alkalinity in the Eastern tropical Atlantic in 2022

Seawater samples (500 mL) were taken during the (PIRATA FR-32)-[https://doi.org/10.17600/18001832] cruise to measure surface inorganic carbon and alkalinity. The analyses were realised by potentiometric titration using a closed-cell at the SNAPO-CO2, LOCEAN in Paris.
Important Note: This submission has been initially submitted to SEA
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The metadata elements have been further processed (refined) in EMODnet
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Macronutrient data collected by RRS James Clark Ross cruise 06 around South Georgia, South Orkneys and the Maurice Ewing Bank (Southern Ocean), Jan-Mar 1994

The dataset comprises macronutrient (nitrate, nitrite, phosphate, silicate, ammonia/ammonium) data collected on RRS James Clark Ross cruise 06 mainly around South Georgia, South Orkneys and the Maurice Ewing Bank in the Southern Ocean. The data were collected between 01 January and 03 March 1994 as part of an integrated ecosystem analysis. They form part of a more extensive dataset collected over 30 years, between 1980 and 2009, by the British Antarctic Survey.
Offshore Gas Storage (UK) - natural gas storage leases

The Crown Estate manages the UK seabed out to the 12 nautical mile territorial sea limit and, under the 2008 Energy Act, hold the rights for gas storage within the Exclusive Economic Zone Order 2013, which extends out onto the Continental Shelf. This Order incorporated the Gas Importation and Storage Zone Order 2009, which was created by the 2008 Energy Act.

Offshore natural gas storage has been taking place within UK waters, in the Rough field, since 1983. Developers of offshore projects need  a storage licence (from BEIS) and a storage lease (from the Crown Estate), as set out in the 2008 Energy Act, which also explains which type of gas importation and storage projects fit into this description. Effectively the regulatory and proprietary roles are separated.

This dataset shows gas storage leases given by The Crown Estate. At this stage there are three leases, Rough, Gateway and Larne Lough. Rough acts as a storage facility for gas shippers and suppliers, allowing them to feed gas into Transco's National Transmission System when demand is at its peak, or withdraw and re-inject it into the reservoir when demand is low. Any company with a UK gas shipper licence can apply to purchase storage capacity at Rough. Gateway and Larne Lough are salt caverns. This data has been checked with the lease areas held by DECC to ensure they match.

The dataset also includes pipeline information. These TCE Agreements pipelines are related to the Natural Gas Storage sector in the United Kingdom waters. Attribute information includes name, tenant and pipeline type. The data source is the individual owner company of the infrastructure.
REMP project - Spreading ridges geomorphic feature

The spreading ridge geomorphic feature layer represents the spatial extent of the spreading ridges of the worlds oceans based on interpretation of the SRTM30 plus v7 global bathymetry model. The layer is one of the 25 layers that make up the global seafloor geomorphic features map (Harris et.al. 2014). Mid-ocean spreading ridges are “the linked major mid-oceanic mountain systems of global extent” (IHO, 2008). Spreading ridges are distinguished from other ridges in this study (see definition of ridges below). They were mapped by hand based on their appearance as ridge-like features that coincide with the youngest ocean crust as mapped by Müller et al. (1997) in their “EarthByte” digital age grid of the ocean floor. Spreading ridges that were not visible in the SRTM30_PLUS bathymetry (100 m contours) were not included in our interpretation, but there is otherwise no size limitation on spreading ridges.
This data set has been used as one of the data inputs in the Atlantic REMP project. This project, funded by the European Union, worked together with stakeholders to produce a draft Regional Environmental Management Plan (REMP) for the Area in the North Atlantic, with a focus on the polymetallic sulphide deposits of the Mid-Atlantic Ridge which are of interest for deep-sea mining. There was close collaboration with the International Seabed Authority (ISA) and a consortium of scientific organisations. Marine data from multiple data services underpinned the environmental management plan development. A selection of the data sets is included in EMODnet Ingestion for wider distribution.
Map (Section D) of coastal lines and underwater slope from Rv. Rioni mouth to the 4 km northern area, Section D, 1983-2005.

Monitoring of  lytho dynamical processes of coastal zone of Kulevi (river Khobistskali mouth) Terminal adjacent area, by request of Kulevi Sea Terminal. Works were provided by “GAMMA Consulting LTD”, 2005. The topographic map (1983 year) were referenced in UTM N37 coordinate system. Survey were provided for assessment of background condition of coastal zone before the construction of  Kulevi Sea Terminal. Coastal line and underwater slope changes before the Kulevi Sea Terminal construction. Coordinate syste UTM N37.Determination of engineering –design measures for coastal zone stabilization.
CTD DATA - EUREC4A_OA Atalante Cruise

The EUREC4A-OA oceanographic campaign that took place in January-February 2020 in the tropical North-West Atlantic Ocean aboard the research vessel L'Atalante was a contribution to the broader international research initiative EUREC4A (http://eurec4a.eu/). The cruise was carried out in conjunction with the research vessels Maria S. Merian and Meteor (Germany) and the Ron Brown (USA) as well as with the aircraft and UAV operations and continuous observations from the ground site on the island of Barbados (BCO) and the Saildrone© operations as part of the US ATOMIC project. The overall objective of the EUREC4A-OA campaign was to collect observational data that will enable research on dynamic and thermodynamic processes in the atmosphere and the ocean, in order to better understand the role of fine ocean scales both in the internal dynamics of the ocean and in air-sea interactions.  To this end, measurements of oceanic and atmospheric profiles have been carried out to observe the temporal evolution and spatial heterogeneity of the atmospheric and oceanic boundary layers and the properties in these two fluids beyond these layers. Autonomous observation platforms (submarine glider, Argo profiling floats, surface buoys and the OCARINA and PICCOLO prototypes) complemented the observations carried out on board ships.
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
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Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2018-2019

This dataset contains temperature data acquired between August 2018 and June 2019 using 15 thermocrons i-buttons© installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which 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
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Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2019-2021

This dataset contains current data acquired between july 2019 and June 2021 using 6 TCM-3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, Montségur and Crystal hydrothermal vent sites. The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The array comprises 6 TCM-3  currentmeters, deployed near the Tour Eiffel, Montségur and Crystal hydrothermal vent sites. It is not connected to an energy node. The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in the metadata 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
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Chemical contamination in Mytilus galloprovincialis with metals, PAHs, PCBs and organochlorine pesticides

The MYTIAD project focused on the assessment of chemical contamination (metals, PAHs, PCBs and organochlorine pesticides) in the Adriatic coastal waters by active mussel watching. Its purpose was harmonising and standardising strategies and methodologies used to assess the contamination status of the Adriatic Sea, in the framework of the WFD, the MSFD and UNEP/MAP Integrated Monitoring and Assessment Programme. Data on metals pointed out some hotspots along the eastern and western Adriatic Sea coasts, with the highest values of total PAH concentration detected in Split, Trieste, and Taranto (Ionian Sea). PCB and endrin contamination was higher in the Adriatic Sea than in the western Mediterranean Sea. This is the first comprehensive overview of contamination in the Adriatic Sea with critical comparisons of related studies over the Mediterranean Sea. It provides a useful harmonised dataset to support a coordinated definition of baselines, targets and thresholds, and further management of chemical contamination.
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
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Memorial University Ocean Glider Deployments : 2005 – Present

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
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The metadata elements have been further processed (refined) in EMODnet
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Gironde Estuary Mouth MEasurement Stations (GEMMES)

In the framework of the ANR AMORAD project, the METEOR cruises (Grasso, 2017) aimed at deploying the ‘Gironde Estuary Mouth MEasurement Stations’ (GEMMES) to measure hydrodynamics and sediment dynamics at the mouth of the Gironde Estuary and on the West Gironde Mud Patch (SW France, Bay of Biscay). Measurements were carried out between November 2016 and December 2017: i) from a buoy station around 20-m water depth (GEMMES-20), collecting sub-surface data of temperature, salinity and turbidity; and ii) a benthic station around 40-m water depth (GEMMES-40), collecting data of current velocity and turbidity. Bottom and surface water samples were regularly collected to calibrate turbidity measurements to SPM concentrations.
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
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Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2017-2018

This dataset contains temperature data acquired between July 2017 and August 2018 using 15 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which 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.
Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2019-2020

This dataset contains temperature data acquired between June 2019 and September 2020 using 5 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which 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
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SUBSAINTES AUV AsterX Bathymetry and backscatter (1m resolution)

Near-bottom multibeam bathymetry acquired at the French Antilles volcanic arc between Les Saintes et Dominica islands. High-resolution bathymetry data (1 m/pixel) were acquired by the autonomous underwater vehicle (AUV) AsterX, deployed during the 2017 Subsaintes cruise (https://doi.org/10.17600/17001000. The dataset consists of dives #394 through #404, after renavigation of the veichile. This dataset includes both grids of individual dives (bathymetry and backscatter, in GRD format), and mosaics combining these dives in 3 larger grids (GEOTIFF). All grids are provided in WGS 84 projection.
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
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EMSO-Ligure Ouest observatory data (BJS_BathyFamily) from 2023-09

EMSO-LO (European Multidisciplinary See floor Observatory and water column, Western Ligurian Site) is a second generation permanent submarine observatory deployed offshore of Toulon, France. This submarine network is part of the LSPM (Laboratoire Sous-Marin Provence Méditerannée, https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. The Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an Instrumented Interface Module (MII), an autonomous mooring line (ALBATROSS) and a Scientific Junction Box (BJS, developed by Ifremer). On the ocean floor, instruments and plateforms can be connected to the BJS whose role is to supply energy and internet connection to the instruments of the site. Among the most relevant novelties, BathyBot is an underwater robot that joined the observatory site for several years, and deployed from a structure called BathyDock. BathyBot - A benthic robot to see the invisible in the depths of the Mediterranean Sea is a remotely-operated, cabled exploration robot. It is dedicated to long-term monitoring of deep-sea environmental variables (oxygen, temperature, salinity, pressure, current - the fluorimeter data flux is available through the aquadopp data flux) as well as biology, thanks to two different cameras (images available through a citizen science project http://ecotaxa.obs-vlfr.fr/). In particular, BathyBot will enable to see the bioluminescence emitted by marine organisms and better understand its ecological role.
Important Note: This submission has been initially submitted to SEA
scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI.
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Map of Chlorophyll a concentrations trend between 1998 and 2019 in the Gulf of Biscay

For the 21 years of the study, an examination of trends in chlorophyll concentration revealed a general decline throughout the Gulf over the production period. These trends, extracted from dynamic linear model, also allowed this decline to be quantified. Expressed as a percentage, a large part of the area below the 50 m bathymetric line showed a decrease of at least 10% over the period, corresponding to a value of at least 0.1 µg.l-1. However, the spatial distribution reveals some more local phenomena. In southern Brittany, from Quimper to Vannes, a particular feature appears, with an upward trend over several kilometres along the coast, followed by a pronounced gradient along the coast. This gradient includes a zone where a continuous monotonic increasing trend is observed, then a zone where the trend becomes not significant and finally, about 15 km from the coast, a new zone where a significant continuous monotonic decreasing trend is observed. The increase in chlorophyll a concentration in the very coastal part is greater than 0.1 µg.l-1 over the period. Another peculiarity concerns the central part, located at the edge of the plateau at Cap Ferrat and Pente Aquitaine, where an increase in chlorophyll a was observed, but the variations remained small, being less than 0.1 µg.l-1. About a hundred kilometres south-west of Saint Nazaire, an area of about 40 by 50 km shows a decrease in chlorophyll a of more than 20%, quantified as more than 0.1 µg.l-1 over the period.
Important Note: This submission has been initially submitted to SEA
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The metadata elements have been further processed (refined) in EMODnet
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Oceanographic data collection of the Monaco Exploration Indian Ocean cruise

Two quality controlled datasets here archived were collected during the oceanographic cruise MEIO that held in October-November 2022 over the South Western Indian Ocean, onboard S.A. Agulhas II. The first dataset is composed of continuous vertical profiles of the 12 oceanographic stations. The profiles have a resolution of 1dbar. The parameters reported in this data set are: pressure (in dbar), in-situ temperature (in °C), practical salinity, dissolved oxygen concentration (in µmol/kg), fluorescence of calibrated chlorophyll-a fluorescence (in µg/L), nitrate concentration (in µmol/kg) and particle attenuation @660nm (in 1/m). The second dataset is composed of discrete samples collected during the 12 stations. The parameters are the sensors measurements of every samples, dissolved oxygen concentration measured by the Winkler method (in µmol/kg), practical salinity measured by Autosal, concentration of silicate (in µmol/kg), concentration of phosphate (in µmol/kg) , concentration of nitrite (in µmol/kg), concentration of nitrate (in µmol/kg), concentration of pigments (processed by HPLC). These datasets aim to contribute to the extension of the One-Argo programme in the southwestern area of the Indian Ocean through the deployment of a significant number of floats; and to collect reference measurements through a multi-instrumented CTD rosette, allowing in particular to calibrate the robots’ sensors, just before their deployment. The two datasets were collected in concomitancy with the deployment of 29 One-Argo floats (WMO numbers : 5906536, 6903149, 4902620, 6903088, 6903148, 6990505, 5906970, 7901013, 4902626, 6903150, 5906972, 6903031, 5906540, 5906969, 4902623, 6990503, 3902471, 5906539, 6990504, 1902572, 5906537, 4902628, 7901003, 3902472, 6903033, 5906538, 1902573, 6903084, 5906971).
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
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