AndreaBozzo/ceres-open-data-index huggingface dataset:
HELCOM/OSPAR Netherlands ports water sampling

This dataset includes the data used in in the HELCOM/OSPAR Ballast Water Exemptions Decision Support Tool. This tool was developed in 2013 based on the overall IMO framework, the 21 Baltic and North-East Atlantic coastal states and the EU. It allows user to define 'low risk' routes, as well as other necessary steps in granting exemptions under regulation A-4 of the IMO Ballast Water Management Convention (BWMC)
EMODnet Digital Bathymetry (DTM 2024) - Tile E8

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.
Mediterranean Sea DIVA 4D analysis of Water_body_nitrate

Moving 10-years analysis of nitrates at Mediterranean Sea for each season :
- winter (January-March),
- spring (April-June),
- summer (July-September),
- autumn (October-December).

Every year of the time dimension corresponds to the 10-year centered average of each season.
Decades span from 1960-1969 until 2004-2013.
Observational data span from 1960 to 2013.
Depth range (IODE standard depths): -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0.

Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.

Description of DIVA analysis:  Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5.

DIVA settings: A constant value for signal-to-noise ratio was used equal to 3. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used.

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.

Originators of Italian data sets-List of contributors
•	Brunetti Fabio (OGS)
•	Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306
•	Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987
•	Cataletto Bruno (OGS)
•	Cinzia Comici Cinzia (OGS)
•	Civitarese Giuseppe (OGS)
•	DeVittor Cinzia (OGS)
•	Giani Michele (OGS)
•	Kovacevic Vedrana (OGS)
•	Mosetti Renzo (OGS)
•	Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5
•	Celio Massimo (ARPA FVG)
•	Malaguti Antonella (ENEA)
•	Fonda Umani Serena (UNITS)
•	Bignami Francesco (ISAC/CNR)
•	Boldrini Alfredo (ISMAR/CNR)
•	Marini Mauro (ISMAR/CNR)
•	Miserocchi Stefano (ISMAR/CNR)
•	Zaccone Renata (IAMC/CNR)
•	Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d’Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.

Units: umol/l
Contaminants: Metals and metalloids - Nickel (median values), v2023

This product displays for Nickel, median values of the last 6 available years that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The median values ranges are derived from the following percentiles: 0-25%, 25-75%, 75-90%, >90%. Only "good data" are used, namely data with Quality Flag=1, 2, 6, Q (SeaDataNet Quality Flag schema). For water, only surface values are used (0-15 m), for sediment and biota data at all depths are used.
Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body dissolved inorganic nitrogen 1980/2022 v2025

Water body dissolved inorganic nitrogen - Seasonal Climatology for NW Black Sea (region in front of Danube Delta months) for the period 1980-2019 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. 
Season definition: winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November.
Units: umol/l.
Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.13, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.73km and vertical correlation length of 45m were applied. 
The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
The vertical resolution is 14 depth levels: 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0, 60.0, 70.0 m.  
The error variance (epsilon2): 1 
An anamorphosis transformation was applied to the data: threshold value=200.
The mean value was used as background analysis field.
Quality control of the observations was applied using the interpolated field: QCMETHOD=3 and visual inspection (Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis after thoroughly visual inspection).
COMARGIS: Information System on Continental Margin Ecosystems

COMARGIS is the Information System of COMARGE (COntinental MARgin Ecosystems on a worldwide scale), a field project of the Census of Marine Life. The core of the system is a relational database implemented in ORACLE. Additional software help the users uploading, retrieving or updating data in the database. The whole system is derived from Biocean, a database developed and maintained by the Deep-Sea Department and the French Oceanographic Data Centre at Ifremer, Brest.
JNCC/Cefas Barmade Bank MCZ Verification survey (CEND0412) - Seabed Still Analyses

The Joint Nature Conservation Committee (JNCC) and Centre for Environment, Fisheries and Aquaculture Science (Cefas) undertook an offshore seabed survey of Barmade Bank on the MRV Endeavour in March 2012 (Cruise Code: CEND0412) as part of a Cefas Marine Conservation Zone (MCZ) verification survey of Barmade Bank; Compass Rose; and Farnes East.

A total of 266 still images were collected across 16 stations at Barmade Bank.
HMAP Dataset 03: SE Australian Trawl Fishery III: Fish (various) landings and fishing effort, South East Australia, 1951-1957

Historical data relating to the South East Fishery (SEF), time period 1951-1957.
On 28 November 1991, the New South Wales Department of Agriculture and Fisheries provided historical data relating to the South East Fishery (SEF) to the Bureau of Resource Sciences (BRS) in accordance with the Fishing Industry Research and Development Corporation (FIRDC)-funded 'historic SET catch data' project. The data were originally collected by CSIRO and handed over to NSW Fisheries when CSIRO ceased work in the 1960s on what was then known as the 'South East Trawl Fishery'. These data cover the periods 1918-1923, 1937-1943 and 1952-1957.No documentation exists for these data except for a simple description of the data field names. This document describes the processing carried out, and the assumptions made, to convert the data into a format suitable for inclusion in the Australian Fishing Zone Information System (AFZIS). This format, in turn, was adapted to render the data compatible with the HMAP/OBIS schema.
Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2006 (UIG), Blue mussel beds in the Wadden Sea of Lower Saxony 2006

Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2006. Im Rahmen des Miesmuschel Managementplans wurden j├ñhrliche Kartierungen der eulitoralen Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer durchgef├╝hrt. Die Erfassung erfolgte mittels stereoskopischer Auswertung von Luftbildern. Die Befliegungen fanden im Fr├╝hjahr bzw. Sommer fl├ñchendeckend statt. (Deutsch), Blue mussel beds in the Wadden Sea of Lower Saxony 2006. The intertidal blue mussel beds were determined yearly in the scope of the blue mussel management plan. Aerial surveys were carried out and aerial photographs were analysed by using a stereoscope to detect the mussel beds. (Englisch)
Beach litter - Composition of litter according to material categories in percent normalized per beach per year - Other sources 2001/2021 v2023

This visualization product displays marine macro-litter (> 2.5cm) material categories percentage per beach per year from non-MSFD monitoring surveys, research & cleaning operations.

EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB).
The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale.


Preliminary processing were necessary to harmonize all the data:
		- Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring;
		- Selection of surveys from non-MSFD monitoring, cleaning and research operations;
		- Exclusion of beaches without coordinates;
		- Exclusion of surveys without associated length;
		- Some litter types like organic litter, small fragments (paraffin and wax; items > 2.5cm) and pollutants have been removed. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines and EU Threshold Value for Macro Litter on Coastlines from JRC (these two documents are attached to this metadata);
		- Exclusion of the "feaces" category: it concerns more exactly the items of dog excrements in bags of the OSPAR (item code: 121) and ITA (item code: IT59) reference lists;
		- Normalization of survey lengths to 100m & 1 survey / year: in some case, the survey length was not 100m, so in order to be able to compare the abundance of litter from different beaches a normalization is applied using this formula:
		Number of items (normalized by 100 m) = Number of litter per items x (100 / survey length)
		Then, this normalized number of items is summed to obtain the total normalized number of litter for each survey.

To calculate percentages for each material category, formula applied is:
Material (%)  = (∑number of items (normalized at 100 m) of each material category)*100 / (∑number of items (normalized at 100 m)  of all categories)

The material categories differ between reference lists (OSPAR, TSG_ML, UNEP, UNEP_MARLIN). In order to apply a common procedure for all the surveys, the material categories have been harmonized.

More information is available in the attached documents.


Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the Marine Litter Database for this area.
H.Bachmann (1936) The fishery grounds near Alexandria. XIV. Phytoplankton from the Nile. Fisheries Research Directorate of Egypt, Notes and Memoirs No 22

Egyptian plankton samples for revision as to its phytoplankton content. First samples are dated in 1933 owned by Prof. Steuer, while the other samples are from the Nile area and collected by Dr. Hans Amberg, in 1904. The samples that come from the large district of the Nile prove that the Melosira in Prof. Steuer's material represents a real phytoplankton component of Nile water and not merely a passive swimming organism.
Study Extent:	Phytoplankton from the Nile area
Quality Control:	Taxonomic quality control through WoRMS
Method step description:

http://ipt.medobis.eu/resource?r=egyptexpeditionpreliminaryrepor http://ipt.medobis.eu/resource?r=egypt1

Apart from the samples of 1933, there are samples of Nile owned by H. Bachmann and collected by Dr Hans Amberg, in 1904. The equipment used is a very small net. The samples are from the following stations: (1) Assuan, 1904/02/09; (2) Above Edfu, 1904/02/08; (3) Dendera, 1904/02/04; (4) Assiut, 1904/02/02; (5) Above Fashn, 1904/01/30; (6) Cairo, 1904/04/08 and (7) Bedreshein, 1904/01/29. The samples 1,2,3 contain the genus Melosira and were very frequently. The samples 4,6 and 7 conatin Melosira granulata var. augustissima and the typical Melosira crucipunctata. These samples showed hardly any other phytoplankton. One may mention: Pediastrum clathratum, with varieties, Surirella splendida, Eudorina elegans.
Mediterranean Sea - DIVA 4D 6-year seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1990/2019 v2021

Moving 6-year analysis of Water_body_dissolved_inorganic_nitrogen_(DIN) in the Mediterranean Sea for each season:
- winter: January-March,
- spring: April-June,
- summer: July-September,
- autumn: October-December.
Every year of the time dimension corresponds to the 6-year centered average of the season.
6-years periods span from 1990-1995 until 2014-2019.
Observational data span from 1970 to 2019.
Depth range (IODE standard depths):  -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0.
Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.
Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analysed filed masked using relative error threshold 0.3 and 0.5.
DIVA settings: A constant value for signal-to-noise ratio was used equal to 1. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used.
'log(data)-exp(analysis' 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.
The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/ .

Originators of Italian data sets-List of contributors:
- Brunetti Fabio (OGS)
- Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306
- Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987
- Cataletto Bruno (OGS)
- Cinzia Comici Cinzia (OGS)
- Civitarese Giuseppe (OGS)
- DeVittor Cinzia (OGS)
- Giani Michele (OGS)
- Kovacevic Vedrana (OGS)
- Mosetti Renzo (OGS)
- Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5
- Celio Massimo (ARPA FVG)
- Malaguti Antonella (ENEA)
- Fonda Umani Serena (UNITS)
- Bignami Francesco (ISAC/CNR)
- Boldrini Alfredo (ISMAR/CNR)
- Marini Mauro (ISMAR/CNR)
- Miserocchi Stefano (ISMAR/CNR)
- Zaccone Renata (IAMC/CNR)
- Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.
Sardine and anchovy eggs abundance from PELACUS surveys in the Northeast Atlantic waters (spring)

Acoustic evaluation surveys for the study of small pelagic fish in the northern Spanish coast have been conducted since 1993. These surveys have evolved into the current multidisciplinary campaigns that provide a holistic view of ecosystems and address the objectives outlined in the European Union's Marine Strategy Framework Directive. One of the primary goals of the campaign is to determine the abundance and characteristics of the main pelagic fish species (primarily sardine, anchovy, horse mackerel, mackerel, and blue whiting) using the echo integration method and mapping their distribution area. To analyze the distribution of sardine and anchovy eggs and determine the spawning area, the sampling system CUFES (Continuous Underway Fish Egg Sampler) is used since 2003. This device collects fish eggs continuously from ~3-5 m depth/under the surface) while the research vessel is moving along transects of acoustic data acquisition. This method allows for the efficient and systematic sampling of fish eggs over large areas, providing valuable data for studies on the distribution and abundance of spawning fish populations. When possible, these samples have been completed with environmental data (i. e. water temperature, salinity, fluorescence) from onboard continuous thermosalinometer. These surveys are part of the National Basic Data Program for the Fisheries Sector and respond to various international commitments for the sustainable management of our seas. To this purpose, the Ministry of Agriculture, Fisheries and Food, through the General Secretariat of Fisheries, invests efforts in the development of these research campaigns aboard its oceanographic vessels. The “PELACUS”  surveys time series is conducted in coordination with the Spanish Institute of Oceanography (IEO-CSIC). Thanks to this coordination, the Ministry of Agriculture, Fisheries, and Food facilitates the use and equipment of the ships for the research personnel and provides scientists with the most suitable instruments for the specific purposes of each survey, while striving to optimize resources for the best possible scientific knowledge to ensure effective fisheries management.
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.
Air-Sea Interaction: Heat and Momentum Fluxes based on data records from the R/V Ramon Margalef around Spanish waters (2013-2023).

This dataset presents air-sea interaction fluxes derived from meteorological and sea surface (thermosalinometer) data collected between 2013 and 2023 aboard the research vessel Ramon Margalef (RM) operated by the Spanish Institute of Oceanography (IEO; IEO-CSIC since 2022). The files include sensible (SHFL) and latent (LHFL) heat  (positive towards the atmosphere), as well as momentum fluxes (MOFL, representing wind stress directed towards the sea surface). These were computed using the bulk aerodynamic approximation (Large and Yeager, 2009), which include atmospheric and oceanic measurements. Accordingly, the datasets also provide both meteorological and thermosalinometer data recorded along the vessel's trajectory, which are essential for these calculations. Meteorological variables used for calculations include atmospheric pressure at sea level (ATMS), air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly used for flux calculations, it is included because it complements the heat storage balance of the ocean alongside the flux variables. The sea surface temperature is stored as TEMP. The monthly files are stored in monthly Medar/Medatlas-format (Lowry et al., 2002). with hourly resolution. They are named as follows: "29RM_YYYYMM.dat", where "29RM" identifies the vessel (according to C17 SeaDataNet vocabulary),"YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables The calculation of air-sea interaction fluxes depends on the simultaneous availability of meteorological and thermosalinometer data. When the required variables are unavailable, the flux columns are omitted. However, the remaining experimental variables are preserved, as they provide independent scientific value, contributing to the interpretation of flux signs, trends, proportionality, and behavior.
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.
Faults in the Alboran Sea

Mapping of the recent and subrecent faults in the Alboran Sea based on multibeam bathymery and seismic records. They are related to NNE-SSW broad band of deformation due to the convergence between Iberia and African plates.
The mapping of the faults has been done based on a high resolution multibeam bathymetry (grid cell 50 m and 100) and multi- and single-channel seismic records from low to very high resolution.
Bathymetry in the area of NW Spanish continental margin, Alboran Sea

This bathymetry was recovered in the framework of the FAUCES project, which addresses the study of marine geological hazards, with special emphasis on sedimentary instabilities associated with the heads of three submarine canyons located on the Mediterranean continental margins of southern Iberia.  This bathymetry is focussed on submarine canyons close to the entrance of the Strait of Gibraltar.