AndreaBozzo/ceres-open-data-index huggingface dataset:
La base de données Quadrige

Pour gérer les données de la surveillance du littoral, l'Ifremer a développé le système d'information Quadrige , qui associe à une base de données une panoplie d'outils d'interprétation et d'élaboration de produits d'information. Au niveau national, Quadrige est aujourd'hui désigné par le ministère en charge de l'environnement comme le système d'information de référence pour les eaux littorales.
Présentation
Pour gérer les données de la surveillance du littoral, l'Ifremer a développé le système d'information Quadrige  , qui associe à une base de données une panoplie d'outils d'interprétation et d'élaboration de produits d'information. Quadrige constitue un élément du Système d'Information sur l'Eau (SIE) http://www.eaufrance.fr, et à ce titre, contribue aux travaux du Secrétariat d'Administration National des Données Relatives à l'Eau (SANDRE) http://www.sandre.eaufrance.fr. 

La banque thématique Quadrige a eu pour mission première la gestion et la valorisation des données issues des réseaux de surveillance mis en oeuvre par l'Ifremer. 

La banque Quadrige est constituée des données de la base Quadrige et des produits décrits ou mis à disposition sur le présent site Envlit. La base Quadrige contient des résultats sur la plupart des paramètres physiques, chimiques et biologiques de description de l'environnement. Les premières données datent de 1974 pour les paramètres de la qualité générale des eaux et les contaminants, 1987 pour le phytoplancton et les phycotoxines, 1989 pour la microbiologie. Elles sont mises à jour en permanence. 

Enjeux
Un système d'information comme Quadrige joue un rôle essentiel. Il assure plusieurs fonctions qui le rendent indispensable : 

la bancarisation des données élémentaires de la surveillance, c'est à dire des résultats d'analyses de l'ensemble des réseaux de surveillance. Cette bancarisation est sécurisée, optimisée, encadrée et évolutive. Il s'agit, dans tous les sens du terme, d'une "banque", avec toute la rigueur de gestion que cela sous-entend, l'interprétation et la valorisation de la donnée. Dès lors que la donnée est bancarisée et qu'un niveau de qualité lui a été associé, elle devient disponible pour un grand nombre d'applications
Ce système est donc central : il est le passage obligé des données de la surveillance entre la "récolte" terrain et sa mise à disposition sous de très nombreuses formes. 

Au niveau national, Quadrige est aujourd'hui désigné par le ministère en charge de l'environnement comme le système d'information de référence pour les eaux littorales. 

Gestion du système d'information
La base de données Quadrige est sous la responsabilité du Département Dynamiques de l'Environnement Côtier (DYNECO) de l'Ifremer. Ce service est assisté pour les aspects techniques par le Service Ingénierie des Systèmes Informatiques du Département Informatique et Données Marines (IDM) 

Un comité des utilisateurs est réuni au moins une fois par an pour assurer le suivi du fonctionnement de la base et de son développement. Ce comité comporte des représentants des utilisateurs extérieurs à l'Ifremer.
EMODnet Digital Bathymetry (DTM 2024) - Tile E3

The "EMODnet Digital Bathymetry (DTM)- 2024" 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 22032 bathymetric survey data sets and Composite DTMs that have been gathered from 66 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2024 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 contains > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) 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 59 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF, 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.
Israel Sea Turtle Tracking Project 2008: Loggerhead -amp; Green Turtles (aggregated per 1-degree cell)

Israel National Nature and Parks Authority (INNPA) conducts a management plan for sea turtles since the 1980s. During more than 20 years, rangers are surveying the Mediterranean coasts, tracking, protecting and relocating loggerhead and green turtles' nests into hatcheries in coastal nature reserves. The hatcheries are protected and during the hatching season, the hatchlings are released by the help of rangers and volunteers. More than 50,000 hatchlings were released so far.
In 1999 INNPA established a sea turtle rescue center and every year dozens of wounded turtles are rehabilitated and more than 60% are released back to the wild. The turtles suffer from various injuries that result from fishing activity, pollution, plastic debris etc'. One part of the rescue center’s work is raising a breeding stock of green sea turtles. Their offspring will be released to the sea from the hatcheries. An additional activity of the INNPA is sampling stranded sea turtle carcasses in order to collect different data, such as genetic information, population size and distribution.Original provider: Yaniv Levy Dataset credits: Data provider Marine Turtle Research Group Originating data center Satellite Tracking and Analysis Tool (STAT)  Supplemental information: Visit STAT's project page for additional information. This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
Collection Porifera SMF

The Porifera collection is part of the SeSAM collections of Senckenberg which combines all collections held at the Senckenberg Natutal History Museum of Frankfurt. This collection contains Porifera from all over the world.
The Porifera collection comprises at present 179 primary type species (holo- and syntypes), including the types and reference material published in Kieschnick (1896), Schulze (1900 - 1904), Thiele (1900 - 1903), Lendenfeld (1907), Hentschel (1912), and Janussen et al. (2004).
EMODnet Human Activities, Cables, Power, Actual Routes

The dataset on subsea power cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version now includes the German high voltage cables.
Benthos data collected in the Black Sea during the Leg 2 EROS Cruise in 1997

The dataset comprises data on the substrate type, temperature, salinity and benthos from 21 samples colected in NW Black Sea in the period 9-24 May 1997. Benthos samples have been take with a cylindrical plagtic bottle with cut off bottom named "Bucov" (S=1/172 cm2, h=10-12 cm). The sediment was preserved in buffered formalin 4% , then sieved through a 1 and 0.25 mm mesh sieve and subsequently stored in 70% ethanol. The database comprises taxonomic and quantitative data (density and wet weight biomass per square meter) for 75 macrobenthic species and 2 supraspecific groups.
Zoological Museum Amsterdam, University of Amsterdam (NL) - Coelenterata

The Coelenterata-collection of the Zoological Museum Amsterdam contains approx. 11,000 registered samples. It has at present primarily importance as a reference collection: no active research on this group is currently being done by our staff, but the large number of nominal types (600, together comprising more than 1500 specimens) and other published material of Indonesian and Caribbean origin is frequently consulted by world specialists and are regularly sent out on loan.
Modeled distribution map of Solitary Scleractinian fields in the North East Atlantic in 2021

Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Solitary Scleractinian fields assemblage in the Celtic Sea. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the north-east Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.
EMODnet Bathymetry land geography and topography (OSM)

OpenStreetMap (OSM) is a collaborative project to create a free editable geographic database of the world. The geodata underlying the maps is considered the primary output of the OSM project. The creation and growth of OSM has been motivated by restrictions on use or availability of map data across much of the world, and the advent of inexpensive portable satellite navigation devices. EMODnet bathymetry considers OSM to be the best source for land data to complement the marine environment and to allow easier navigation in the data portal. 
OpenStreetMap is a free and noncommercial project; everyone can just download OpenStreetMap data free of charge and process it. However EMODnet Bathymetry requires a tailored rendering of OpenStreetMap data as in all standard available visualisations the world oceans are obscured by water features which have no use in a marine environment. In addition, EMODnet requires a non-projected rendering with no land use which is not the OSM render default.  
The OSM rendering is provided to EMODnet by the German company Geofabrik (www.geofabrik.de).
National Pilot Monitoring Studies Phyllophora August 2017, Improving Environmental Monitoring in the Black Sea - Phase II (EMBLAS-II), ENPI/2013/313-169, (Phytoplankton)

Phytoplankton data: species composition, volume of the cell [µm3], abundance [*1000cells/l], biomass (mg/m3) and Carbon biomass collected during the survey of the National Pilot Monitoring Studies Ukraine (NPMS UA) in the Ukrainian waters (North-Western part of the Black Sea) in the area of the Zernov’s Phyllophora Field onboard the M/V "Auguste Piccard" (Ukraine) in August 2017
Data collected within the EMBLAS-II "EU-UNDP Project 'Improving Environmental Monitoring in the Black Sea' (EMBLAS-II)" (http://emblasproject.org/). EMBLAS-II is co-financed by the European Commission (EC) and United Nations Development Programme (UNDP). The project implementation started on 1 April 2014 and ended on 31 May 2018, having the total duration of 50 months. The EMBLAS project is addressing the overall need for support in protection and restoring the environmental quality and sustainability of the Black Sea. The specific objectives are as follows: Improve availability and quality of Black Sea environmental data in line with the MSFD and Black Sea Strategic Action Plan (2009) needs; Improve partner countries' ability to perform marine environmental monitoring along MSFD principles, taking into account the Black Sea Diagnostic Report II recommendations on capacity building.  
The National Pilot Monitoring Studies (NPMS) and Joint Open Sea Survey (JOSS) Programme was developed within the framework of Project Activities. The NPMS-2017 (Phyllophora) was performed in period 2017.08.16 to 2017.08.18 in the Ukrainian waters (North-Western part of the Black Sea) in the area of the MPA Zernov’s Phyllophora Field onboard the M/V "Auguste Piccard" (Ukraine) . 
17 samples were obtained during NPMS UA Phyllophora August 2017. 
Quantitative phytoplankton samples were collected by vertical series consisting from several sampling depths. The depths were chosen with an idea to collect samples from main hydrophysical layers. These layers were defined according to CTD-sounding which was fulfilled before the phytoplankton sampling at each station. Special attention has been paid to fluorescence profiles obtained simultaneously with the CTD-sounding. The samples were collected from upper mixed layer, upper thermocline layer, lower thermocline layer, near bottom layer and chlorophyll-a maximum (if this maximum did not coincide with other sampling layers). For collecting were used 5 L Niskis bottles, attached to CTD rosette system. The phytoplankton sample was collected at the depth of the fluorescent maximum. 1-2 L of water at each discrete depth were sampled.  Sampling performed by M. Grandova (UkrSCES)
The concnetration of particulate matter, particulate macroelements and Chlorophyll a in the coastal waters of the Gulf of Riga, Vitrupe - Ainazi polygon.

The measurements of SPM, particulate TN, TC, Fe, Mn, Al and chlorophyll a, as well as light absorption at 750 nm and 380 nm were done within Estonia-Latvia transboundary project "Towards joint management of the transboundary Gauja/Koiva river basin district" for harmonization of water quality classification system for transboundary water bodies in the Gauja/Koiva river basin district and adjacent areas (in Estonia) in the Gulf of Riga." Measurements were done once in August 2012 along with underwater video observation, water transparency and CTD measurements in coastal waters in shallow part (2 - 12m) of the East coast of the Gulf of Riga. Data were used for Final report on assessment of the quality status of the transboundary water bodies (coastal, lakes, rivers) in Gauja/Koiva river basin district (2013. Kalvane I. and Veidemane K. (eds.))
Macronutrient data collected by RRS James Clark Ross cruise 17 around South Georgia and the Maurice Ewing Bank (Southern Ocean), Dec 1996-Jan 1997

The dataset comprises macronutrient (nitrate, nitrite, phosphate, silicate, ammonia/ammonium) data collected on RRS James Clark Ross cruise 17 around South Georgia and the Maurice Ewing Bank in the Southern Ocean. The data were collected using CTD rosette water bottles and the ship's non-toxic seawater supply with an intake depth about 6 - 7 m between 12 December 1996 and 05 January 1997 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.
Macronutrient data collected by RRS John Biscoe cruise 10 around South Georgia (Southern Ocean), Dec 1989-Feb 1990

The dataset comprises macronutrient (nitrate, phosphate, silicate, ammonia/ammonium) data collected on RRS John Biscoe cruise 10 (Legs 1 and 2) around South Georgia in the Southern Ocean. The data were collected between 09 December 1989 and 22 February 1990 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.
Pots Fishing Effort

This dataset shows the distribution of fishing effort by fishing vessels according to the gear type used. Fishing effort is defined as the time spent engaged in fishing operations or time spent at sea, this time may be multiplied by a measure of fishing capacity, e.g. engine power. In this dataset fishing effort is measured as average hours spent actively fishing per kilometre square, per year. Data from years 2014 to 2018 was used to produce this data product for the Marine Institute publication the “Atlas of Commercial Fisheries around Ireland, third edition“ (https://oar.marine.ie/handle/10793/1432).
Autonomous temperature probes, data from the EMSO-Azores observatory, 2012-2013

This dataset contains temperature data acquired between July 2012 and August 2013 using 17 temperature probes (HTW, HTNKE and LTW) installed in smoker orifices or cracks. High-temperature WHOI probes (HTW) are composed of 2 J-type thermistors in the rod tip connected to 2 temperature data-loggers (named A & B), 2 data recordings are available for 1 HTW probe. They are able to record temperatures up to 415°C with an accuracy of ± 1.1°C, a resolution of 0.25°C at 375°C and a clock drift of 1min per month. High-temperature NKE probes (HTNKE) are able to record temperatures up to 450°C, with an accuracy of ±0.5°C, a resolution of 0.1°C and a clock drift of 1min/month. Low-temperature WHOI probes (LTW) are able to record temperatures up to 125°C. with an accuracy of ±0.22°C, a resolution of 0.025°C and a clock drift of ±1min per month. The array is not connected to an energy node. All probes are calibrated in time before deployment, probe time adjusted to UTC time. Temperature of probes is checked after recovery and before deployment. Clock drift after recovery is not implemented in data.
WOCE SAMBA experiment float data

During the World Ocean circulation experiment, 100 MARVOR floats were launched  near 800 dbar mostly in the Brazil basin, within the framework of SAMBA (SubAntartic Motions in the Brazil bAsin).This experiment aimed at describing the absolute general circulation of the Antarctic Intermediate Water around 800 m depth in the South Atlantic. MARVOR floats cycled every 2 (or 3) months between their nominal depth and surface to transmit data via the ARGOS system and were programmed for 30 (or 20) cycles, i.e. a total life of 5 years.
Autonomous temperature probes, data from the EMSO-Azores observatory, 2015-2016

This dataset contains temperature data acquired between April 2015 and September 2016 using 17 temperature probes (HTW, HTWN, HTNKE and LTW) installed in smoker orifices or cracks. High-temperature WHOI probes (HTW) are composed of 2 J-type thermistors in the rod tip connected to 2 temperature data-loggers (named A & B), 2 data recordings are available for 1 HTW probe. They are able to record temperatures up to 415°C with an accuracy of ± 1.1°C, a resolution of 0.25°C at 375°C and a clock drift of 1min per month. High-temperature WHOI new probes (HTWN) are composed of 1 temperature data-logger and 1 attitude logger to measure absolute orientation (tilt) and acceleration. The thermocouple of their rod tip can be J or T-Type. Mostly used J-Type thermocouple is able to record temperatures up to 450°C, with an accuracy of ± 0.6°C, a resolution of 0,03°C and a clock drift of 1min/year. High-temperature NKE probes (HTNKE) are able to record temperatures up to 450°C, with an accuracy of ±0.5°C, a resolution of 0.1°C and a clock drift of 1min/month. Low-temperature WHOI probes (LTW) are able to record temperatures up to 125°C. with an accuracy of ±0.22°C, a resolution of 0.025°C and a clock drift of ±1min per month. The array is not connected to an energy node. All probes are calibrated in time before deployment, probe time adjusted to UTC time. Temperature of probes is checked after recovery and before deployment. Clock drift after recovery is not implemented in data.
REMP project - Global habitat suitability of deep-water Antipatharia

Antipatharia are a diverse group of corals with many species found in deep water. Many Antipatharia are habitat for associates, have extreme longevity and some species can occur beyond 8500 m depth. As they are major constituents of 'coral gardens', which are Vulnerable Marine Ecosystems (VMEs), knowledge of their distribution and environmental requirements is an important pre-requisite for informed conservation planning particularly where the expense and difficulty of deep-sea sampling prohibits comprehensive surveys.
This study uses a global database of Antipatharia distribution data to perform habitat suitability modelling using the Maxent methodology to estimate the global extent of black coral habitat suitability. The model of habitat suitability is driven by temperature but there is notable influence from other variables of topography, surface productivity and oxygen levels.
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.
Irish Weather Buoy Network - Station Belmullet-AMETS

The Irish Weather Buoy Network is a network of 5 weather buoys around Ireland. These weather buoys are moored surface buoys with instruments which collect weather and ocean data including air temperature, atmospheric humidity, sea surface temperature, sea temperature and salinity on moored chain, wave statistics and wind speed/direction. This data set relates to the data collected at station Belmullet-AMETS between April 2011 and August 2011. The Weather Buoy network has been established to improve predictive weather forecasting. The weather buoy project has consisted of a team drawn together under an MOU between the Department of Transport, Tourism and Sport (DTTAS), the Marine Institute (MI), Met Eireann and the UK Met Office. There have been incomplete data observations for periods when the weather buoys were offline for maintenance and or damage from adverse weather conditions such as storms.
Aquaculture in Maltese waters

This data includes the location of cages used for aquaculture in Maltese waters. The cages which are close to the shore are used for the breeding, rearing and harvesting of fish from egg to adult. This process, called
close cycle aquaculture, is used to breed fish, such as sea bream (Sparus aurata), European sea bass (Dicentrarchus labrax) and common meagre (Argyrosomus reglus). Other cages, which are more distant from
the coast, are used to keep Atlantic Bluefin Tuna which is caught in the wild. These fish are fed for a months until they are big enough to be harvested and sold.