AndreaBozzo/ceres-open-data-index huggingface dataset:
Thermal and non-thermal components of pCO2 estimated from ASTAN cardinal buoy (western English Channel) data from 2015 to 2019

This dataset comprises two time series derived from partial pressure of CO2 (pCO2) data recorded at 30-minute intervals by the ASTAN cardinal buoy, located 3.1 km offshore from Roscoff in the western English Channel (France). The original pCO2 dataset was developed by Gac et al. (2020, (DOI:10.3389/fmars.2020.00712)-[https://doi.org/10.3389/fmars.2020.00712]). The version of this dataset used in Robache and Schmitt (2025, doi: 10.5194/egusphere-2025-972) is publicly available via Bozec et al. (2025, doi:10.17882/106537). The current dataset provides the thermal component of pCO2 (pCO2thermal, in µatm) and the non-thermal component (Xsat, in %) derived following the decomposition method of Takahashi et al. (2009, (DOI:10.1016/j.dsr2.2008.12.009)-[https://doi.org/10.1016/j.dsr2.2008.12.009]). Additional methodological details are outlined in Robache and Schmitt (2025). These data were derived from a collaboration with Yann Bozec through the ANR project CO2Coast (Principal Investigator: Hubert Loisel, ANR-20-CE01-0021).
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.
Water quality monitoring in "Baie de l'Aiguillon": Mooring time-series from Mar 2021 to Dec 2024

As part of the marine water quality monitoring of the “Pertuis” and the “baie de l’Aiguillon” (France), commissioned by the OFB and carried out by setec énergie environnement, three monitoring stations were installed. Two of them were set up at the mouths of the Charente and Seudre rivers on February 6 and 27, 2019, respectively, while a third was deployed in the Bay of Aiguillon on March 24, 2021. The dataset presented here concerns the station installed in the Bay of Aiguillon. Measurements are organized into .csv files, with one file per year. Data is collected using a WiMO multiparameter probe, which records the following parameters: •    Temperature (-2 to 35 °C) •    Conductivity (0 to 100 mS/cm) •    Pressure (0 to 30 m) •    Turbidity (0 to 4000 NTU) •    Dissolved Oxygen (0 to 23 mg/L & 0 to 250 %) •    Fluorescence (0 to 500 ppb)  
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.
3D Meshes Dataset of Sagittal Otoliths from 22 Fish Species in the English Channel and North Sea

This dataset provides high-resolution three-dimensional (3D) surface meshes of sagittal otoliths from 22 ecologically and commercially important fish species collected in the Eastern English Channel and the North Sea. Otoliths serve as vital biological archives, offering insights into fish age, growth patterns, environmental histories, and genetics. Unlike traditional morphological approaches, 3D geometric morphometric analyses enable detailed shape quantification critical for fisheries science and marine ecology. The primary aim of this dataset is to facilitate advanced, non-destructive morphometric analysis for species identification, stock discrimination, and assessments of environmental effects on otolith shape. By offering a standardized, publicly accessible resource, it supports improved fisheries management, ecological research, and conservation in the Northeastern Atlantic.
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.
Waverider data at Faial/Pico islands, Azores, Portugal (2013 - 2021)

A Datawell Waverider buoy was deployed between Faial and Pico Islands, Azores, Portugal, to monitor the ocean wave conditions. This dataset comprises historical wave measurements from 2013 to 2021, including wave height, wave period, wave direction, and sea surface temperature, with a resolution of 10 minutes.
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.
Oceanic concentrations and emissions toward atmosphere of carbon monoxide simulated by the PISCES biogeochemical model

The ocean constitutes a minor source of atmospheric carbon monoxide (CO) at the global scale, but could play an important role far from continental anthropized emission zones. Here we use the NEMO-PISCES (Nucleus for European Modelling of the Ocean, Pelagic Interaction Scheme for Carbon and Ecosystem Studies) ocean general circulation and biogeochemistry model to dynamically assess the oceanic CO budget and its emission to the atmosphere at the global scale. The main bio-chemical sources and sinks of oceanic CO are explicitly represented in the model. The main processes driving the CO concentration are photoproduction and bacterial consumption and are estimated to 19.2 and 21.9?Tg?C?yr-1 respectively with our best-guess modelling setup. There are however very large uncertainties on their respective magnitude. Despite the scarcity of the in situ CO measurements in terms of spatio-temporal coverage, the proposed best simulation is able to represent most of the data (~?300 points) within a factor of two. Overall, the global emissions of CO to the atmosphere are 3.6?Tg?C?yr-1, in the range of recent estimates, but very different from the ones published by Erickson in 1989, which were the only gridded global emission available to date. These oceanic CO emission maps are relevant for use by atmospheric chemical models, especially to study the oxidizing capacity of the atmosphere above the remote ocean.
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.
Southwest Indian Ridge axis (33 to 52 deg. E) with transits. Multibeam bathymetry grids (processed, 100 m) acquired during MD121 SWIFT Cruise

Multibeam bathymetry acquired during (SWIFT cruise)-[https://doi.org/10.17600/1200030] with the Marion Dufresne. Processed data gridded at 100 m and provided in NETCDF GMT format (.grd extension).
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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IAOOS winter hydrographic data during N-ICE 2015 North of Svalbard

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.
SIMBA data acquired during IAOOS drifts from the North-Pole to Fram Strait in 2013

We report continuous observations in the high Arctic (north of 84°N) over the full 2013 summer season at two nearby sites with distinct initial snow depth, ice thickness and altitude with respect to the local ice topography. The two sites subject to similar atmospheric conditions that did not favor strong ice melt showed a contrasted evolution. One site, with an initial thin sea ice (1.40 m) at a low location of the floe, witnessed the formation of a spectacular 1.20 m-deep melt pond, a pond-enhanced erosion of the ice surface and a sudden pond drainage into the ocean. Then, the outpoured fresh water rapidly froze, heated the old ice from below and also acted as a temporary shield from the ocean heat flux while it was progressively ablated through dissolution. Eventually, the site almost recovered its initial ice thickness. In contrast, the other site, with an initial thicker sea ice (1.75 m) at a high location of the floe, did not support any significant melt water and underwent over 0.5 m of continuous basal ablation. The two sites witnessed formation of superimposed and interposed ice. Sea-ice survived summer melt at the two sites which entered the refreezing season with similar snow and ice thicknesses. For the first time, processes associated with the formation of a deep melt pond and subsequent false bottom evolution are continuously documented with ice mass balance instruments. 
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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Arctic Western Eurasian Basin: IAOOS 23 physical and biogeochemical profiles in 2017

In April 2017, two Ice Atmosphere Arctic Ocean Observing System platforms (IAOOS 23 and IAOOS 24) were deployed near the North Pole. Over the next 8 months, they meandered southwards with the ice in the Transpolar Drift, collecting measurements in the upper 250 m of Amundsen Basin, Nansen Basin and Fram Strait. The ocean profilers are PROVOR SPI (from French manufacturer NKE), which includes a Seabird SBE41 CTD (Conductivity, Temperature, Depth) and a dissolved oxygen (DO) Aandera 4330 optode. IAOOS 23 also featured a bio-optics sensor suite and a submersible ultraviolet nitrate analyzer (SUNA, Satlantic-Seabird Inc.). The bio-optics sensor suite (called Pack Rem A) combines a three-optical-sensor instrument (ECO Triplet, WET Labs Inc.) and a multispectral radiometer (OCR-504, Satlantic Inc.). The present dataset is composed of chlorophyll-a fluorescence, backscatter, irradiances (at 412, 490 and 555 nm), photosynthetically active radiation (PAR), nitrate and colored-dissolved organic matter data from the IAOOS 23 platform, as well as composites of absolute salinity, conservative temperature and apparent oxygen utilization data from both profilers. The profilers were set to perform two upward profiles a day from 250 m starting at approximately 6 am and 6 pm. In this dataset, chlorophyll-a, PAR and irradiances were corrected with a shift to set dark values to zero. Nitrate was interpolated vertically every 5 m, and all other parameters were interpolated vertically every 0.5 m.
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.
IAOOS winter SIMBA data during N-ICE 2015 North of Svalbard

Two ice mass balance instruments (part of IAOOS7 and IAOOS8 platforms) deployed near 83°N on the same ice floe, documented the evolution of snow and ice conditions in the Arctic Ocean north of Svalbard in Jan-Mar 2015. Frequent profiles of temperature (every 3 hours) and temperature change after 30s and 120s heating (once a day) were recorded. The ratio of the temperature changes after heating provides a proxy for thermal diffusivity. Both instruments documented flooding and snow-ice formation. Flooding was clearly detectable in the simultaneous changes in thermal diffusivity proxy, increased temperature, and heat propagation through the underlying ice. Slush then progressively transformed into snow-ice. Flooding resulted from two different processes; i) after storm-induced break-up of snow-loaded floes for IAOOS8 and ii) after loss of buoyancy due to basal ice melt for IAOOS7. The instrument on IAOOS7 documented basal sea-ice melt over warm Atlantic waters and ocean-to-ice heat flux peaked at up to 400 Wm-2 in winter.
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.
Thermohaline Staircases in the Tyrrhenian Sea Experimental data-set (2003-2016)

This time series has been collected by the Italian Consiglio Nazionale delle Ricerche (CNR) in a station located at about 3500 m depth in the central Tyrrhenian Sea (39° 46.85 N, 011° 53.00 E) over the period 2003-2016. The dataset contains 21 hydrological profiles (Pressure (dbar), Temperature (ITS-90, °C) and Salinity) performed on average every six months, with a lack of data in the period 2007-2010. The dataset is highly homogeneous in technical characteristics and quality, since the instrument used to collect most of the data is the same CTD probe (SBE911plus) and data quality procedures have been performed. The calibration of the probe was performed at the NATO-CMRE Centre of La Spezia up to 2014, and by the manufacturer (SeaBird) or by the Oceanographic Calibration Center of OGS in Trieste thereafter. To verify the post calibration performance of the probe, redundant sensors were often used for both temperature and salinity measurements, and on board salinity analysis of the water samples was performed using a Guideline Autosal or a Portasal salinometer. Raw data are post-processed and averaged at 1 dbar. Until 2014, the data were collected by the Italian R/V URANIA, those of 2015 by the Italian R/V MINERVA UNO, and those of 2016 by the Spanish  R/V Angeles Alvarino. This is the longest time series (fourteen years) of temperature and salinity of thermohaline staircases due to double diffusion in the salt finger regime ever observed. Parameters included in the .csv data file: Cruise name (Cruise) Time as julian days (Time_julian day) Latitude Longitude Pressure in dbar (Pressure_dbar) Practical Salinity (Salinity) Temperature ITS-90 in °C (Temperature_ITS-90_°C)
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.
EMODnet Digital Bathymetry (DTM 2020) - Tile H3

The "EMODnet Digital Bathymetry (DTM)- 2020" is a multilayer bathymetric product for Europe’s sea basins covering:
•  the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland 
•  the English Channel and Celtic Seas  
•  Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea 
•  Iberian Coast and Bay of Biscay (Atlantic Ocean) 
•  Adriatic Sea (Mediterranean) 
•  Aegean - Levantine Sea (Mediterranean). 
•  Madeira and Azores (Macaronesia) 
•  Baltic Sea 
•  Black Sea 
•  Norwegian and Icelandic Seas 
•  Canary Islands (Macaronesia) 
•  Arctic region and Barentz Sea

The DTM is based upon more than 16360 bathymetric survey data sets and Composite DTMs that have been gathered from 49 data providers from 24 countries riparian to European seas. Also Satellite Derived Bathymetry data products have been included derived from Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2020 and IBCAO V4. 
The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that in December 2020 contained > 30.000 survey data sets from European data providers for global waters. This discovery service makes use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). The Composite DTMs are described using the Sextant Catalogue Service that makes also use of SeaDataNet standards and services. Their metadata can be retrieved through interrogating the Source Reference map in the Central Map Viewing service (https://emodnet.ec.europa.eu/geoviewer/ ). 
In addition, the EMODnet Map Viewer gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as:
• water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters).
• option to view depth parameters of individual DTM cells and references to source data
• option to download DTM in 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), GeoTiff and SD
• option to visualize the DTM in 3D in the browser without plug-in
• layer with a number of high resolution DTMs for coastal regions
• layer with wrecks from the UKHO Wrecks database.

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal.  
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
Trieste 1899-2015 near-surface sea temperature

The data set includes daily near-surface sea temperatures measured in the harbour of Trieste (Italy) during 1899-2015. Two time series are formed: the first is derived from analogue measurements performed in the 1899-2008 period, the second is derived from digital records in 1986-2015. From these time series a composite time series for 1899-2015 is built. Data records consist of date and daily temperature in degrees Celsius to the 0.1 °C precision.
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.
Biological dataset for Pagrus pagrus fished along Southern Brazil

The data were obtained from a regular sampling program of industrial fisheries landings in Rio Grande, southern Brazil. The dataset presented is composed of: Fishing gear with landing date, minimum and  maximum depth of the catches in ech fishing trip.. Individual fish parameters of length, total weight, total, sex, age, maturity stage, gonad weight, gonadosomatic indices and allometric condition factor. Type of the scales border and classification of the readability of the growth rings. During dock sampling, total length (TL), measured from the tip of the snout to the midpoint of the upper and lower limbs of the caudal fin, was recorded in mm, total weght. (TW) in grams,  and sexed: (1) male, (2) female, (3) undetermined and (4) hermaphrodite. Specimens were classified from macroscopic examination as hermaphrodites when both testicular and ovarian tissues were present in the gonads and as males or females when all or most of the tissue was testicular or ovarian, respectively. Maturity stages were determined macroscopically with a seven-point scale: (1) virginal immature, (2) developing virginal, (3) developing, (4) advanced development, (5) running, (6) partly spent and (7) recovering. Gonads were weighted in grams (GW) and the average gonadosomatic indices were calculated as GSI = 100(GW/TW) . Allometric condition factors (K) were calculated as K = TW/TLb, where b is the coefficient of the weight-length relationship. For age determination, scales collected from behind the pectoral fin insertion. The readability of growth rings on the scales were classified as “well-marked”, “faint or absent” and “unreadable”. The position of the last ring relative to the posterior border of the scales were classified a (1) recently formed near the border, or  (2) more distant of the border.
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.
Thermosalinometer data from R/V Cornide de Saavedra (2006-2013)

In the framework of the R/V Cornide de Saavedra (Spanish Institute of Oceanography, IEO) field works, a continuous thermosalinometer (TSG) recorder was installed in 2006. From this moment, daily data was sent to the IEO datacenter until the end of the vessel activity in 2013. After a detailed quality control/quality asessment revision, that includes checking the clock, position, and recorded temperature, salinity and fluorometry values, the whole dataset is provided with quality flags (QF) that improved their usability. Datafiles and the QF follow the seadatanet.org standards.
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.