AndreaBozzo/ceres-open-data-index huggingface dataset:
Acoustic mapping of the seabed of the Menai Strait. South West Menai.

The section of the Menai Straits that were surveyed were divided into three parts.

The hardness/roughness isopleths were combined using CAMRIS GIS to produce a composite map showing 7 types of group (very hard/very rough; hard/rough; moderately hard/moderately rough; moderately soft/moderately smooth; soft/moderately rough; soft/smooth; very soft/very smooth).
A map for the whole of the survey area was followed by a map showing the biotope types as observed using the remote video, which are as follows (SA = superabundant; A = abundant; C = common; O = occasional)

Sand/shell: Medium fine sand with shell: very silty.
Coarse sand/silt: Coarse sand: very silty.
Gravel: Barren
Silty cobble: Silt accretion (A); Cerianthus (O-C); Urticina (O-C).
Silty cobble/rich: Silt accretion (A); sponges (Haliclona, Halichondria) (C); hydroids (C); Urticina (O-C).
Boulder/cobble sponge: Similar to above, but with sponges C-A.
Cobble/bounder faunal turf: Hydroids (C); Tubularia (O); Alcyonium(O); Flustra(O).
Cobble hydroid turf: Short turf of hydroids (C-A).
Cobble Pomatoceros: Pomatoceros and barnacles (A).
Bedrock/boulder silt sponge: Similar to boulder/cobble sponge above, but on bedrock/boulder.
Boulder Laminaria: Small Laminaria hyperboraea (C); red algal turf (C).
Bedrock sponge/Flustra: Bedrock with encrusting sponges (C-A) and Flustra (O-C).
Bedrock Mytilus. Small Mytilus (A-SA); Asteria(C-SA); encrusting corralines (O).
Bedrock and faunal turf: Hydroids (C); Tubularia(O); Alcyonium(O); encrusting and branching sponges(O-C).


The maps were subsequently transposed into EUNIS in 2006 using expert judgement.
Northern Ireland broadscale habitat mapping: Carlingford Lough

The responsibilities of the Department of Agriculture and Rural Development (DARD) include: the development of the agricultural, forestry and fishing industries in Northern Ireland; rural development in Northern Ireland; providing an advisory service for farmers; agricultural research and education; providing a veterinary service and administration of animal health and welfare policies; responsibility to the Ministry of Agriculture, Fisheries and Food in the administration in Northern Ireland of schemes affecting the whole of the United Kingdom; the application of EU agricultural policy to Northern Ireland. Within the Agriculture and Food Science Division, DARD's Biological Oceanography Programme seeks to understand the effects of humans and climate change on the Irish Sea ecosystem using a research vessel (RV Lough Foyle) and automated moorings to monitor environmental change.
Rügen Herring Larvae Survey

Dataset with abundance and growth data of the western Baltic spring spawning herring in the main spawning area Greifswald Bay. The yearly survey is carried out by the Thünen Institute of Baltic Sea Fisheries once per week during the herring spawning season from March to June. The survey provides the base for an annual recruitment index (N20) used for the assessment of this herring stock. WGIPS is the ICES group responsible for this dataset.
The cnidarians collection (IK) of the Muséum national d'Histoire naturelle (MNHN - Paris)

The collection of cnidarians, comprising about 80 000 lots, combines old specimens from all oceans. These specimens are preserved in either alcohol, dry, as slides, or in a separate herbaria for some hydroids and sea fans.
The oldest specimens (1706-1707) of Hydroids and Octocorallia of the collection are preserved in herbaria made by Sébastien Vaillant. The story is revealed on the label and recalls the big names such as Peron and Lesueur; Savigny; Jean-Baptiste Lamarck; Quoy and Gaimard; Valenciennes; and H. Milne-Edwards and Haime. Generations of scientists have enriched the collection, thanks to naturalist expeditions like that of Egypt (1800-1804), Baudin on the western coast of Australia, the Astrolabe (1837-1840), and the two French Antarctic expeditions in early twentieth century. For forty years, various campaigns in the Atlantic (Thalassa, Biogas ...), the sub-Antarctic (on the Marion Dufresne), the Indo-Pacific (program MUSORSTOM / Deep-Sea Benthos), and the great expeditions (Santo, Vanuatu 2006, Guadeloupe 2012) made for the "Planet revisited" program, enriched the collection. Scientists donate collections made throughout their careers, as is the case of the collections of G. Faure, J. Laborel, M. Pichon, B. Salvat, H. Zibrowius ... Specimens sampled by J. Goy in the Mediterranean, Brazil, and Australia expanded the collection of Jellyfish.
The International Herring Larvae Surveys

The ICES programme of international herring larval surveys in the North Sea and adjacent areas is in operation since 1967. The main purpose of this programme is to provide quantitative estimates of herring larval abundance, which are used as a relative index of changes of the herring spawning‐stock biomass in the assessment. The larvae surveys are carried out in specific periods and areas, following autumn and winter spawning activity of herring from north to south. Catch data together with specific information like haul position, survey area etc. are reported to the ICES International Herring Larvae database annually. The database contains information about the surveys conducted since 1972. The ICES responsible group for the dataset is WGIPS.
North Sea cod and plaice egg surveys (2004, 2009)

The dataset includes information about spatial distribution and abundance of fish eggs and larvae in the North Sea based on the data from the North Sea Cod and Plaice egg surveys.
The survey aims at studying fish egg and larval distributions in the winter in the North Sea, target species are cod and plaice.  The program was steered by the WGEGGS until 2012 and is currently steered by WGEGGS2.
The North Sea cod and plaice egg surveys have been conducted in 2004 and 2009 and will be continued in 2013 alongside the MIK herring larvae sampling during the IBTS survey.

The surveys were originally directed at cod and plaice, but also supply data of other winter spawning North Sea fish. The surveys are conducted with Gulf III or VII plankton torpedo’s, Bongo nets or CUFES. With the Gulf’s and Bongo’s double oblique hauls are conducted through the water column till 5m above the sea floor or a maximum of 200m depth. The CUFES sampling is a continues sampling at 5m depth. The mesh size of all sampling equipment is 280 μm. During the sampling temperature and salinity are measured. Flowmeters are used to measure the amount of water filtered while sampling.

The database contains the haul information data, position, time , duration, water volume, depth, temperature and salinity. Eggs and larvae in the samples werecounted. All eggs >1mm were measured and identified to species were possible. Eggs
Arctic Ocean - DIVA 4D 6-year analysis of Water body silicate 1965/2017 v2021

Moving 6-year analysis of Water body silicate in the Arctic Ocean, for each season in the period 1965-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (IODE standard depths): 0, 5, 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, ..., 1500, 1750, 2000, 2500m. Units: umol/l. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.6, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.1 degrees. Signal-to-noise ratio was fixed to 2.0, horizontal correlation length to 100 km, and vertical correlation length varying between 25 and 200 m. Logarithmic transformation is applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data.
Phytoplankton North Adriatic-Gulf of Trieste C1 – LTER time-series 2006-2009

Time series of phytoplankton abundance collected with a monthly frequency at 0.5, 5, 10 and 15 meters in the Gulf of Trieste. The time series station C1, located in the Gulf of Trieste in the northernmost part of the Adriatic Sea, is part of the Adriatic Long Term Ecological Research (LTER) site. It is a shallow coastal station (17 m depth) located at 0.2 Km from the coast, at the outer border of the Natural Marine Reserve of Miramare, Trieste. More information about activities carried out and about datasets from other periods can be found at: http://nettuno.ogs.trieste.it/ilter/GoTTs/en_index.html. Samples were fixed with Ca(HCO3)2-buffered formaldehyde (0.8% final concentration) and cell abundance was estimated according to Utermöhl’s method (1958), using an inverted microscope equipped with phase contrast, at 200-320-400x final magnifications. Abundant cells were counted in defined random fields, rarer species were counted on the whole chamber (Fonda Umani et al., 2007).
Samples were collected with Niskin bottles at 0.5, 5, 10 and 15 meters depths.

Study Extent	At least monthly sampling was carried out, during some periods sampling was at bi-monthly basis.The time series station C1, located in the Gulf of Trieste in the northernmost part of the Adriatic Sea, is part of the Adriatic Long Term Ecological Research (LTER) site.
Method step description:

Samples were fixed with Ca(HCO3)2-buffered formaldehyde (0.8% final concentration) and cell abundance was estimated according to Utermöhl’s method (1958), using an inverted microscope equipped with phase contrast, at 200-320-400x final magnifications. Abundant cells were counted in defined random fields, rarer species were counted on the whole chamber (Fonda Umani et al., 2007).
Vrijlevende mariene nematoden van de Zuidelijke Bocht van de Noordzee

The nematode communities from 102 stations in the Southern Bight of the North Sea, sampled between 1972 and 1984, are examined. On the whole, 456 species, belonging to 159 genera and 37 families were found.
In the framework of a PhD thesis, data were collected on the nematode community of the Southern Bight of the North Sea, with the focus on both ecological and taxonomical matters.
2243_EMODNet DTM of the Belgian Laser Altimetry Surveys for the coastal waters

Source data for the EMODNet DTM for the Belgium Coastal Waters is compiled by the Vlaamse Hydrografie (http://www.afdelingkust.be/en/bathymetric-database) at a resolution of 1/512 arc minute. 
The data set covers dry coast and dunes along the Belgian coast.
2012/9_MS: Argyll Array: South-west of Tiree: Priority Area: 1/128

This marine geophysical and multibeam survey was undertaken by British Geological Survey on behalf of Marine Scotland utilising the Northern Lighthouse Board vessel NLV Polestar, it took place in July/August 2012 off south-west Tiree. The purpose was to further our understanding of Scotland’s marine environment, increase the efficiency of use of public resources, enhance the safety of those at sea and contribute to new policy priorities such as marine protected areas, wider conservation measures, marine planning and renewable. Bathymetric data was collected using a Kongsberg EM3002D dual head, multibeam system. Data was acquired using a Kongsberg SIS operating system, logging raw .ALL files. This data was processed offline by BGS using CARIS HIPS and SIPS 7.1 SP2.
Broadscale remote survey and mapping of the sublittoral habitats and biota of the Wash, and the Lincolnshire and the north Norfolk coasts - lifeforms and species presence

Natural England (NE) is one of the UK's conservation agencies, advising the government about the conservation of wildlife, geology and wild places in England. NE has been involved with the UK Marine SACs (Special Areas of Conservation) project, including marine habitat mapping of candidate SACs in English waters.
Northeast Atlantic Ocean - Loire River - DIVAnd 4D seasonal analysis of Water body dissolved oxygen concentration 1963/2020 v2021

Seasonal Climatology of Dissolved Oxygen concentration for Loire River for the period 1963-2020 and for the following seasons:   
    - winter: January-March,
    - spring: April-June,
    - summer: July-September,
    - autumn: October-December
    Observational data span from 1963 to 2020. 
    Depth levels (m): -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -25.0, -20.0, -15.0, -10.0, -8.0, -6.0, -4.0, -2.0, -0.0
    Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
    Description of DIVAnd analysis: The computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used. Signal to noise ratio was fixed to 1 for vertical profiles and to 0.1 for time series to account for the redundancy in the time series observations. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. . Detrending of data: no, Advection constraint applied: no. Units: umol/l.
Copepoden van een sublittoraal zandig station in de Noordzee

Gegevens over densiteiten en soortensamenstelling van copepoden op een sublittoraal zandig station (station 50) in de Noordzee.
During one year, samples were collected from a sublittoral sandy station to investigate the present meiofauna and in particular the copepods. The goal was to study the vertical distribution of the meiofauna in space and time. Meiobenthic communities were analysed both in a qualitative and quantitative manner.
EMODnet Human Activities, Other Forms of Area Management, MSFD Reporting Units

The present layer compiles the marine regions and subregions listed in Article 4 of the Marine Strategy Framework Directive (MSFD), together with other surrounding seas of Europe. The MSFD marine regions and subregions map was developed to support DG Environment and EU Member States in their implementation of the MSFD. It represents the current state of understanding of the marine regions and subregions and is subject to amendment in light of any new information which may be produced
Contaminants-Hexachlorobenzene: LOD/LOQ values in biota not compliant to EQSD v2019

This product displays the stations where hexachlorobenzene has been measured in biota and the values present in EMODnet Chemistry infrastructure are not compliant with EQSD, i.e for the substance, in that station, quality values found in EMODnet validated dataset can be equal to 6 or Q and values are above the 30% of the value established by EQSD for hexachlorobenzene in biota.
It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station.  
EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. 
For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. 
The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products.
To produce the maps the following process has been followed:
    1. Data collection through SeaDataNet standards (CDI+ODV)
    2. Harvesting, harmonization, validation and P01 code decomposition of data
    3. SQL query on data sets from point 2 
    4. Production of map with each point representing at least one record that match the criteria
The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols.
Preliminary processing were necessary to harmonize all the data :
    • For water: contaminants in the dissolved phase;
    • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm
    • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans
    • Exclusion of data values equal to 0
Fish and crustacean community in the Western Scheldt (Doel nuclear power station) during winter season 1991-1992

Study of the epibenthos and fish community at the nuclear power station in Doel (Western Scheldt) during the period September 1991-February 1992. The data were digitized by VLIZ from the original report: Maebe, S. (1992). De vis- en crustaceagemeenschap van de Westerschelde ter hoogte van de kerncentrale van Doel gedurende het winterhalfjaar 1991-1992. BSc Thesis. Katholieke Universiteit Leuven. Faculteit Wetenschappen: Leuven. 106 pp.
Monthly sampling of the nuclear power water circulating system using nets with 2,5 mm mesh size. Dataset contains densities of fish and epibenthos species. Additionally the length of the fish species was measured.
Groundfish Survey Invertebrate Data

The Irish Groundfish Surveys is part of an annual International Bottom Trawl Survey (IBTS) programme co-ordinated by the International Council for the Exploration of the Sea (ICES). The survey is carried out over 47 days between October-December each year by the Marine Institute and collects demersal trawl and ancillary data in Irish waters to produce relative abundance indices for fisheries management in the Northwest Atlantic Shelf waters.
In addition to the commercially exploited fish, elasmobranch, cephalopod and crustacean species, and an amount of macroinvertebrate species are also caught. These are sampled in a similar way to the groundfish, identified by species (or higher taxa where not practical to ID at sea), and total weight as well as counts are recorded where possible. An internal review of this data was undertaken in 2019 to check for spatial and temporal consistency in abundance and taxonomy with the standardised data set being made available here.
Atlas de biodiversidad marina del Mar Balear

El Atlas de biodiversidad marina del Mar Balear integra información marina con información relevante sobre diferentes grupos taxonómicos (desde fitoplancton a grandes especies) durante un periodo de más de 40 años de investigaciones y campañas.
El Atlas de biodiversidad marina del Mar Balear se origina tras la demanda de la comunidad científica, la administración pública, consultoras ambientales u organizaciones no gubernamentales, de disponer de una herramienta de fácil acceso a datos sobre biodiversidad marina recogidos por agencias gubernamentales tales como el Instituto Español de Oceanografía (IEO).
El Atlas está elaborado a partir de datos provenientes de los diferentes grupos de investigación del Centre Oceanogràfic de les Balears con series  de datos que abarcan aproximadamente 40 años de investigaciones marinas.
	
A partir de estos datos se construye una base de datos que contiene más de 90.000 registros e integra un elevado número de grupos taxonómicos: 33 filos, 615 familias, 1058 géneros y alrededor de 1600 especies encontradas en el contexto de las Islas Baleares.
La base de datos espacial abarca una superficie muestreada de aproximadamente 150.000 km2.

Objetivos del proyecto:

1. Establecer el estado de la biodiversidad marina del Mar Balear y determinar la composición específica de las comunidades de grupos taxonómicos objetivo en biotopos del Mar Balear.

2. Diseñar e implementar un Sistema de Información de Biodiversidad Marina (SIBM) que permita la integración del conjunto de la información disponible en una plataforma común georeferenciada.
Biomass-Weighted Fish Functional Feeding Traits for the Northeast Atlantic (1997-2020)

This product enables users to assess spatial and temporal change in fish functional feeding traits across the northeast Atlantic shelf seas. Values are based on non-metric multidimensional axis scores, weighted by biomass observed in otter trawl surveys.
This product is the result of collating and analyzing fish stomach contents data from the North Atlantic and Arctic Oceans to classify fish into feeding guilds. The feeding guilds identified include planktivores, benthivores, bentho-piscivores, and piscivores. Non-metric multidimensional scaling (NMDS) analysis was used to provide a more nuanced understanding of different predator feeding traits in relation to others. The NMDS analysis presents axis scores that offer a bounded data perspective, as opposed to categorical, of different predator feeding traits. This analysis is part of the process to classify feeding guilds based on predator stomach contents data. See figure S4 in https://essd.copernicus.org/preprints/essd-2024-102/essd-2024-102-supplement.pdf for a pictorial depiction. Uses attributes recommended by http://cfconventions.org
EMODnet Human Activities, Fisheries, EUMOFA Monthly first sales

The dataset on first sales of fish in the European markets was created in 2016 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated twice a year and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset originates from the monthly first sales of fish data made available by the European Market Observatory for Fisheries and Aquaculture products (EUMOFA). The EUMOFA is a fully-fledged observatory, but it is also a work in progress and its coverage is constantly revised by adding or removing locations and species. EUMOFA data have been related to the fish markets locations (points) made available in DG MARE's Master Data Register, revised when necessary according to the United Nations Code for Trade and Transport Locations database (UN/LOCODE) and according to the EUROSTAT/GISCO dataset on main ports locations. Volume (net weight in kg), value (Euro) and price (Euro/kg) data are provided for each fish species in each place of sale by year, month, Commodity Group (CG), Main Commercial Species (MCS), EU's Electronic recording and reporting system (ERS) name, size category (according to AnnexII of Council R. 2406/96), preservation state and presentation state (aggregated by group and disaggregated by presentation type). The geographic coverage of available data is: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and the UK. Compared with the previous version, this new version of the dataset includes data for Denmark, Finland and ⁭Iceland, and it covers a time series from 2009 to January 2025, where available.