AndreaBozzo/ceres-open-data-index huggingface dataset:
Eiffel Tower edifice: taxa inventory from Momareto (2006) and Exomar (2005) cruises

Densities data measured from abundances of inventoried species on the hydrothermal edifice Eiffel Tower (Lucky Strike vent field, Mid-Atlantic Ridge), during Exomar (2005), Momareto (2006) cruises. Seventeen sampling units were selected to represent variate mussel assemblages on the edifice. Details on the sampling method and biodiversity analysis are published in Sarrazin et al. 2015 (https://doi.org/10.1016/j.dsr2.2015.04.013) and Husson et al. 2017 (https://doi.org/10.1016/j.dsr2.2016.05.028)
Data from Eurofleets+ GSHARK cruise-Part I: CTD and observations data

Data were collected in the Southwest Greenland Fjords for the Eurofleets+ GSHARK cruise with the R/V Dana.  This submission contains all CTD data and the shark observations. The team tried to use the CTD in several stations but it was not functioning properly so only 1 vertical profile was gathered (on 02/08/2021 near station 3, 60,6958 -46,0373).
Temperature time series from permanent mooring at North Minorca Marine Reserve -Is. Aire (Balearic Islands, Western Mediterranean Sea)

The Spanish Institute of Oceanography (IEO-CSIC) and the Jaume Ferrer Research Station (IEO-CSIC, GOIB) maintains a mooring to record temperature data at different depths along the coastal area of Isla del Aire, within the boundaries of the North Minorca Marine Reserve (39º47.98'N, 004º17.32'E); Balearic Islands, Western Mediterranean). This time series mooring is funded since its beginning in 2014 by the General Direction of Universities and Research within the Balearic Islands Government (GOIB). The collected data provides high-resolution temporal data on seasonal temperatures, stratification dynamics and detection of extreme events. The data also contributes to the T-MED-NET network (http://www.t-mednet.org) for the monitoring of climate change effects in marine coastal ecosystems of the Mediterranean Sea, such as mortality events related to heatwaves or distribution of endemic and non-native species. Assessing the effects of climate change on coastal ecosystems requires long-term monitoring of essential climate-related variables, including the oceanographic thermal regime. The temperature mooring system uses in situ temperature sensors (HOBOS Pro v2) that record hourly data at 5, 10, 15, 20, 25 meters depth. Sensors are setup and recovered by scuba divers twice a year, generally in spring and autumn. The current length of the historical series has allowed for careful quality control to correct potential sensor failures and drifts, as well as the systematic assignment of quality flags that add value to the timeseries. Additionally, the adoption of standard formats and vocabularies recognized at the European and international level facilitates the reuse of these data in different contexts. Data are provided in SDN-Medar/MedAtlas format monthly files. 
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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Harmful algae niche response(s) to environmental and community variation along the French coast. Dataset

The data-set is composed of three tables, Environmental variables, Phytoplankton ( in log+1 abundance)  and the coordinates of the station used in the study. They are the processed data.
Important Note: This submission has been initially submitted to SEA
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CHEMINI total dissolved iron concentrations from the EMSO-Azores observatory, 2013-2014

This dataset contains real-time total dissolved iron concentrations ((Fe(II) + Fe(III); µmol/l) acquired from the EMSO-Azores seafloor observatory from September 2013 to February 2014 (n=332). Data are purchased by the CHEMINI Fe (CF1), a CHEmical MINIaturized analyser dedicated to in situ determination of iron concentrations (every 24 hours, with in situ calibration using a 25 µmol/l iron standard, Vuillemin et al., 2009). The instrument is deployed on TEMPO part of Seamon East environmental monitoring node. The sample inlet is located on a mussel bed at the base of the Eiffel Edifice at 1695m depth.
Important Note: This submission has been initially submitted to SEA
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CHEMINI total dissolved iron concentrations from the EMSO-Azores observatory, 2017-2018

This dataset contains dissolved iron concentrations ((Fe(II) + Fe(III); µmol/l) acquired between July 2017 and March 2018 (n=168) using the CHEMINI Fe, a CHEmical MINIaturized analyser (samples taken every 12 hours, with daily in situ calibration using a 20 µmol/l iron standard, Vuillemin et al., 2009). The sample inlet was positioned on the mussel bed at the base of the Tour Eiffel edifice of the Lucky Strike hydrothermal vent (1695 depth).CHEMINI Fe (CF2) was mounted on the TEMPO module which was itself connected to the SeaMON East node of the EMSO-Azores observatory.
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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CHEMINI total dissolved iron concentrations from the EMSO-Azores observatory, 2018-2019

This dataset contains dissolved iron concentrations ((Fe(II) + Fe(III); µmol/l) acquired between August 2018 and December 2018 (n=445) using the CHEMINI Fe, a CHEmical MINIaturized analyser (samples taken every 12 hours, with daily in situ calibration using a 20 µmol/l iron standard, Vuillemin et al., 2009). The sample inlet was positioned on the mussel bed at the base of the Tour Eiffel edifice of the Lucky Strike hydrothermal vent (1695 depth).CHEMINI Fe (CF2) was mounted on the TEMPO module which was itself connected to the SeaMON East node of the EMSO-Azores observatory.
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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Biometric data for large pelagic fish in the Indian Ocean

Biometric relationships are critical to convert measurement performed at landings (fish with head, tail cut or gutted and gilled) to standardized measurements which can be used in stock assessment and scientific purposes. In the Indian Ocean, while tuna species are relatively well described, there is a critical lack of information for billfish and the interannual and seasonal variations of these relationships are rarely investigated. To cope with this issue, the relationships used at IOTC are coming from other oceans or close species which is not scientifically satisfactory. In this document, we present the biometric relationships for 6 large pelagic species over 267 individuals in 2017 and 2018 from catches of Reunionese longliners. The classical length and weights are established for this species. While the relationships are very neat, further collections are needed to provide robust relationship. This document question our ability to share and build a global biological database at IOTC which can be regularly updated and provided the best scientific knowledge for these relationship. These data could be also used for other scientific needs and could be easily freely accessible as they are not sensitive.
Important Note: This submission has been initially submitted to SEA
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JERICO-NEXT TNA: Monitoring of Organic Contaminants in the water of the southern Europe with Passive Sampling (MoCo Sea Pass)

Selected urban/industrially impacted sites were monitored in an attempt to examine the impacts of anthropogenic activities on aquatic environments and to combine these results with AQUA-GAPS for a global scale estimation. The present project was aimed at developing new monitoring technologies to detect POPs in marine water and to evaluate the air-sea exchange of organic contaminants. Thus, it was achieved, for the first time, the simultaneous deployment of two passive samplers (air- and sea-samplers) resulting in (1) the evaluation of the present state of POPs pollution in the water and in the air of the Southern European coast and (2) the simultaneous monitoring of air-sea exchange of organic contaminants. The selected sites for deployment were in the Western part of Black Sea and in the Northern Adriatic Sea. Deployment sites included the Port Operational Marine Observing System (POMOS) (st.Balchik) in Black Sea and the Meteoceanographic site (S1-GB) in Mediterranean Sea.  The concentrations of PAHs, PCBs, OCPs and PBDEs were measured in both air- and sea-passive samplers.
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.
Cruises SICILY 1995 (CNR IT): Hydrographic measurements in the Western Mediterranean (winter and summer 1995)

This data set contains the CTD data collected from the RV URANIA of the CNR (Italy) during the SICILY-1 and SICILY-2 cruises (8-11 March 1995 and 16-30 July 1995). These cruises were part of an intensive field program in the Sicily Channel and in the southern Tyrrhenian basin conducted by the Stazione Oceanografica of CNR in different periods from 1993 to 1995. The SICILY-2 cruise also includes stations along a section from Menorca (Balearic Islands) to Sardinia. Data have been used in several studies (see References). CTD profiles were collected using a Neil-Brown MKIII CTD. The probe was calibrated in temperature and conductivity at the SACLANT Center of La Spezia, before and after each cruise, and at sea in salinity and oxygen, against  water samples. Declared instrumental precisions were 0.002 °C for temperature and 0.005 for salinity (PSS-78).  The data set is provided per cruise as ODV Spreadsheet files in TXT format, containing: • Cruise name • Station number • Type of acquisition (here C) • Date in mon/day/yr and Time in hh:mm:ss • Coordinates in Longitude [degrees_east] and Latitude [degrees_north] • Bottom depth [m] • Depth, salt water [m] • Temperature, IPTS-68 [degC] • Conductivity [S/m] • Temperature, ITS-90 [degC] • Salinity, PSS-78 (Practical Salinity) The dataset relating to SICILY-1 cruise also contains • Dissolved oxygen [ml/l]
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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Meteorological data from the EMSO-Azores observatory, 2010-2011

This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired between October 2010 and December 2010 (n=332) using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
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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Hydrography and currents in Storfjorden (Svalbard) from the STEP 2016-2017 moorings

As part of the STeP project (STorfjorden Polynya multidisciplinary study), two moorings, M1 and M2, were deployed in Storfjorden (Svalbard) on July 14, 2016 from the French R/V L’Atalante and were recovered one year later, on September 28, 2017, from the French R/V Pourquoi-Pas?. The two moorings, deployed a few hundred meters apart at 78°N and 20°E at a depth of 100m, documented the formation of dense Brine-enriched Shelf Water (BSW).  The moorings included both physical oceanography (PO) and biogeochemistry sensors. The present dataset is composed of PO data only: the 3 components of the currents, backscatter, salinity, temperature and dissolved oxygen. PO sensors on M1, spanning the whole water column, included 6 Seabird SBE37 microcat (CTD),  15 RBR solo (T), and 1 RBR duet (TD) for hydrography, while currents were monitored with a RDI WH 300kHz upward looking ADCP and 1 Nortek Aquadopp underneath. PO sensors on the shorter M2 mooring included 1 Seabird SBE63 (CTD-O2), 1 RBR solo (T) and 1 RBR duo (TD). Data have been calibrated and validated and the different steps of this processing are discussed in the technical report provided with the dataset. Two netcdf4 files are provided for M1: one for hydrography (STEP2016_M1_hydrography.nc), the other one (STEP2016_M1_current.nc)  for currents and backscatter. Only one netcdf4 files (STEP2016_M2_hydrography.nc) is provided for the shorter M2. Temperature and salinity data from SBE sensors have been interpolated on a common time grid with a 20’ time step. Likewise temperature data from RBR are provided on a 30” time grid. A merged SBE-RBR dataset has also been built for increased vertical resolution, providing temperature every 20’. ADCP data are provided on a 100’ time grid. The user is referred to the technical report provided with the dataset for further information on the different 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
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Meteorological data from the EMSO-Azores observatory, 2014-2015

This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired between July 2014 and April 2015 using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
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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Meteorological unit 1 data from the EMSO-Azores observatory, 2016-2017

This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired since September 2016 using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
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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Data associated to the long-term exposure of oysters and mussels to future ocean acidification and warming  in the Mediterranean Thau lagoon

Data associated to the long-term exposure of oysters and mussels to future ocean acidification and warming  in the Mediterranean Thau lagoon. Data are survival, biometry, reproduction, and energy reserves of oysters and mussels collected during 14 months under ambient condition and warming and acidification expected for 2050, 2075 and 2100 based on the most likely CO2 emission scenario (SSP3-7.0, IPCC, 2023).
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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Meteorological data from the EMSO-Azores observatory, 2012-2013

This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired between Jannuary 2012 and December 2012 (n=332) using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
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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Spatio-temporal dynamics of the floating canopy of Macrocystis pyrifera in the Humboldt Current System

The database represents the extent of the floating canopy of M. pyrifera along the Chilean part of the Humboldt Current System and its seasonal variation from summer 2016 to summer 2015. Variable NameDescriptionData TypeUnit/FormatExampleseasonThe season of the year when the observation was recorded.Categorical (Factor)Text (Fall, Winter, Spring, Summer)FallyearThe year when the observation was recorded.IntegerYYYY2021areaA unique code identifying a specific maritime area or zone.Numericmeters^21992ECOREGIONThe marine ecoregion where the observation was recorded, based on the Marine Ecoregions of the World (MEOW) framework.Categorical (Factor)Text (Araucanian, Central Chile, Humboldtian)HumboldtianyearqtrA combined representation of the year and quarter for time series analysis.YearqtrYYYY q%2021 Q2latThe latitude coordinate in WGS 84NumericDecimal degrees (WGS84)-37.2lonThe longitude coordinate in WGS 84NumericDecimal degrees (WGS84)-73.5XThe Easting coordinate in a projected coordinate system (UTM Zone 19S, EPSG:32719).NumericKilometers108.9YThe Northing coordinate in a projected coordinate system (UTM Zone 19S, EPSG:32719).NumericKilometers5859MethodsThe Google Earth Engine code for processing satellite images and recognizing floating canopy can be accessed at the following link: ()-[https://code.earthengine.google.com/b9e498f597356f9094061abd3f5bf094]https://code.earthengine.google.com/b9e498f597356f9094061abd3f5bf094 Data processing were performed using R. 
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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Dataset from an in situ mesocosm experiment evaluating the effects of a simulated marine heatwave on the structure and composition of the plankton food web in a Mediterranean coastal lagoon

Coastal ecosystems are particularly affected by marine heatwaves (MHW) which are predicted to become more frequent and stronger by the end of the century. These extreme events potentially impact marine organisms including plankton communities and their dynamics.  The present study aims to provide a more comprehensive understanding of how each plankton food web component and their interactions will respond to a simulated MHW. For this study, an in situ mesocosm experiment was carried out from May 24th to June 12th, 2019, in the Thau lagoon on the French Mediterranean coast (43.414699N, 3.688125E). Two conditions were applied in triplicate. One condition simulated a MHW of + 3 °C above the natural lagoon temperature for 10 days, followed by a return to the natural lagoon temperature for the next 10 days (MHW condition), while the other condition maintained at natural lagoon temperatures throughout the experiment (control condition). Over the 20 days of experiment, the sampling of plankton communities in both conditions was conducted daily or every two days to study their responses to a simulated MHW.  The abundance of virus-like (hereafter referred to as virus), heterotrophic bacteria, cyanobacteria, pico- and nanophytoplankton eukaryote population were identified using flow cytometer in cells·mL-1. Phytoplankton and ciliates abundances (cells·mL-1) and taxonomic composition were identified by an inverted microscope. Abundance of heterotrophic nanoflagellates was counted by an epifluorescence microscope in cells·mL-1. It should be noted that in some of the related papers, some groups of the same organisms have been grouped within a single group (example, two groups of virus-like).
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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Turbidity (NTU) data from the LTER-Eastern Ligurian Sea Site (Italy), 2015

Since 2015, ENEA as coordinator of the Eastern Ligurian Sea site in the Long Term Ecological Research Network (LTER) has collected turbidity data at different depths (Centroid/Representative Coordinates Latitude: 44.002684 Longitude: 9.992889; https://deims.org/56a6b13f-7c03-4bfa-ad4f-5f7e0f8189ca). Turbidity is measured in Nephelometric Turbidity Unit (NTU), referenced to a proper turbidity standard. Turbidity measurements are performed by using a nephelometric turbidimeter connected to a CTD probe (mod. SBE19plus). For each profile, the CTD is deployed at well-known depths together with the GO-FLO bottle (for Total Suspended Solids samples) by using the winch of the research vessel. Turbidity measures are acquired at a sampling rate of 4 Hz and stored in the internal buffer of the CTD, ready to be downloaded for post-processing. Turbidity values range up to about 80 NTU, but the main part of measures is below 20 NTU. The LTER Eastern Ligurian Sea site has as its main purpose the study of coastal ecosystems (especially coralligenous communities and long-lived benthic species in the area), hydrodynamic processes and, in the long term, the effects of climate change. The dataset proposed here refers to the year 2015 and will be upgraded periodically.
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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