AndreaBozzo/ceres-open-data-index huggingface dataset:
Micro litter - Nets location & mesh size used - Other specific protocols 2011/2021 v2023

This visualization product displays nets locations where specific protocols have been applied to collate data on microlitter.
Mesh size used with these protocols have been indicated with different colors in the map.
EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10).
A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter.
European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization.

A filter is applied to represent only micro-litter sampled according to a very specific protocol such as the Volvo Ocean Race (VOR) or Oceaneye.

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 National Oceanographic Data Centre (NODC) for this area.
Feeding rhythms of the common goby Pomatoschistus microps at the brackish tidal marsh 'Het verdronken land van Saeftinge' in 1994

Catch data and numerical and gravimetrical analysis of stomach contents of Pomatoschistus microps sampled on 16, 17 and 19 August 1994 at 'Het verdronken land van Saeftinge'. The data were digitized by VLIZ from the original report: Bulayi, M.E. (1997). Diurnal and semi lunar feeding rhythms of the common goby Pomatoschistus microps in the brackish tidal marsh 'Het verdronken land van Saeftinge [sic]' (Westerschelde, SW Netherlands). MSc Thesis. RUG: Gent. 38 pp.
The influence of tidal, neap, spring and day night cycles on the feeding behaviour of the common goby Pomatoschistus microps was investigated in a creek of a salt marsh in the brackish zone of the Westerschelde estuary. Effects of tidal cycles were assessed using samples taken on 16, 17 and 19 August 1994. A stow net was used for collecting the samples. Sampling was conducted over several tidal phases. On each occasion sampling started when water began to flood the creek. After slack water the net was turned around to sample the ebb current. The net was hauled every one hour. It was observed that most of Pomatoschistus microps entered the creek during the first hour of the tidal cycle and left the creek during the last two hours of ebb. Feeding activity was highly influenced by tidal stimuli (tidal cycle and neap-spring tides). There was no significant difference between the feeding activity of fish caught during day time and at night and neap and spring tides had an influence on the feeding pattern of fish. The amphipod Corophium volutator was the most important prey. This amphipod had a high contribution to the diet both in terms of numbers and biomass. The mysid Mesopodopsis slabberi was also important. Neomysis integer, Nereis diversicolor and Crangon crangon were taken infrequently but due to their high biomass, contributed significantly to the total diet. Calanoid copepods were eaten very frequently but were unimportant in terms of biomass.
EMODNET Bathymetry World Base Layer version 1

The EMODnet Bathymetry World Base Layer (EBWB) service is a gridded representation of worldwide bathymetric and topographic coverage adapted for a better representation of seabed morphological features. Based on modern WMTS schema, it allows a fluid and powerful rendering.

For the global oceans EBWB1 is composed of the 2018 EMODnet Bathymetric grid around Europe (approx. 100m resolution) and uses the GEBCO 2019 grid (approx. 500m resolution) elsewhere in the marine environment. Land coverage is based on a combination of 30 arc second ASTER GDEM, SRTM3, EU-DEM, and Global 1 second world-wide water body map for the topographic part. This compilation of publicly available data sources have been merged and pre-tiled for rendering, at 10 levels of zoom starting from 1/24th of an arcminute (approx. 75m resolution). The EBWB1 service is available in non-projected system (Lat, Long, WGS84: EPSG:4086), Web Mercator (EPSG:3857), Inspire compliant ETRS-EALA projection (EPSG:3035) and projections adapted to both poles (ESPG 3031 and 3996)

Service URL: 
https://tiles.emodnet-bathymetry.eu/wmts/1.0.0/WMTSCapabilities.xml
EMODnet Bathymetric Surveys

EMODnet Bathymetry has adopted the CDI Data Discovery & Access service as developed and operated by SeaDataNet, the pan-European network of NODCs, to bring together and provide access to available high resolution bathymetric survey data sets from many data providers, such as National Hydrographic Institutes, Research Institutes, and Survey companies. 
All bathymetric survey data are described with INSPIRE compliant metadata, following the CDI metadata profile, based on ISO 19115 – 19139 standards. This way, the CDI service gives users a highly detailed insight in the availability and geographical spreading of bathymetric survey data sets that are acquired and managed by an increasing group of data providers and for which users can request access for downloading. The CDI metadata are public domain and freely available for all users. However, a major part of the survey data sets is not freely available and requires negotiation with the data owners. The SeaDataNet CDI search, shopping and tracking mechanism facilitates identifying and requesting access to these background data sets from data providers. Note that all data sets are used internally with permission of the data owners for contributing to the EMODnet Digital Terrain Model (DTM) for the European sea regions.  
The service URL is : https://geo-service.maris.nl/emodnet_bathymetry/wfs?service=WFS&request=GetCapabilities.
The layer in the Map Viewer facilitates users to view the locations of the CDI entries and to retrieve details of individual surveys by clicking on the map. From there users are linked to the actual CDI Data Discovery and Access service (https://cdi-bathymetry.seadatanet.org/search) for performing more queries and submitting requests for data access.
Seafloor litter - Composition of litter according to material categories in percent per trawl 2007/2022 v2023

This visualization product displays the marine litter material categories percentage per trawl.

EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of seafloor litter collected by international fish-trawl surveys 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 (OSPAR and MEDITS protocols) and reference lists used on a European scale. Moreover, within the same protocol, different gear types are deployed during fishing bottom trawl surveys.

Unlike other EMODnet seafloor litter products, all trawls surveyed since 2007 are included in this map even if the wingspread and/or the distance are unknown.
Only surveys with an unknown number of items were excluded from this product.

Harmonization of the material categories between ICES and MEDITS lists has been performed and the following calculation has been applied: 
Material %  = (∑Number of items of each material category*100)/(∑Number of items of all material categories)

More information on data processing and calculation are detailed in the document attached.

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.
European seas - DIVAnd 4D monthly analysis of Water_body_dissolved_inorganic_nitrogen 1960/2023 v2025

Water_body_dissolved_inorganic_nitrogen - Monthly Climatology for the European Seas for the period 1960-2023 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.
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 2.7.12, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.
Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.
Units: umol/l.
The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
2013/5 Multibeam Survey: Isle of May continuation: North East Anstruther: 1/128

This BGS marine multibeam survey took place in May/June 2013 in the area of Isle of May, Anstruther and the Firth of Forth on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS). Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system to IHO Order 1A. Bathymetric data on MV White Ribbon was acquired by the British Geological Survey (BGS) using a Kongsberg EM3002D dual head, multibeam echosounder system (MBES). Data were acquired using the Kongsberg SIS operating system, logging raw .ALL files. Offline data processing was performed using CARIS HIPS and SIPS 7.1 SP2
Baltic Sea DIVA 4D analysis of Water_body_chlorophyll-a

Units: mg/m3. Method: spatial interpolation produced with DIVA (Data-Interpolating Variational Analysis). URL: http://modb.oce.ulg.ac.be/DIVA.
		
Comment: Every year of the time dimension corresponds to a 10-year centred average for each season :
- winter season (December-February),
- spring (March-May),
- summer (June-August),
- autumn (September-November).
.
Composite high resolution DTM of a subset form the Calabrian Arc

Bathymetry data based on data recorded during M112 between 06.11.2014 and 15.12.2014 and during POS499 between 04.05.2016 and 22.05.2016 in the Mediterranean Sea. The aim of the cruises was to investigate in mud volcanoes of the Calabrian Arc in Italian waters, where 54 potential mud volcanoes have been documented while it remained unclear whether they are still active or not. Therefore, the bathymetric surveys were accompanied with investigations in the water column. Several sound velocity profiles (SVPs) were taken to correct the bathymetry. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry post-processing and its products.
EMODnet Human Activities, Pipelines

The dataset on offshore pipelines in the European seas was created in 2017 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several 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 contains lines representing the actual routes of offshore pipelines (where available) in the following countries: Croatia, Denmark, Estonia, Finland, Germany, Ireland, Netherlands, Norway, Poland, Russia, Spain (Andalucía), Sweden and United Kingdom. Each line has the following harmonized attributes (where available): code, name, status (abandoned, active, application submitted, not in use, planned, pre-commissioning, proposed, under construction), medium (air, chemical glycol, chemical methanol, chemical n/a, condensate, control, cooling water, gas, geothermal heating, hydraulic, mixed hydrocarbons, oil, other fluid, sewage, water), operator, size (inches), length (metres), year, from and to locality or facility, country code, country name and notes. Compared with the previous version, this new version includes updated data from German BSH-CONTIS source.
Arctic Ocean - Eutrophication and Acidity aggregated datasets 1925/2017 v2018

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (14 parameters with quality flag indicators), and covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters with 220031 CDI stations. Data were aggregated and quality controlled by 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)'.

Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12 ). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium.

Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/

Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e

The aggregated dataset can be downloaded as ODV spreadsheet, which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV )

The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Baltic Sea - Contaminants aggregated datasets 1972/2017 v2018

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (49 parameters), and covers the Baltic Sea with 3818 CDI records divided per matrices: 1358 biota (396 Vertical profiles and 962 Time series),906 water profiles, 2510 sediment profiles. Vertical profiles temporal range is from 1985-04-16 to 2016-09-27. Time series temporal range is from 1972-05-02 to 2017-10-30. Data were aggregated and quality controlled by ‘Swedish Meteorological and Hydrological Institute (SMHI)’ from Sweden.	
Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. 
Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.
The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).
The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).
The 49 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 .
Detailed documentation will be published soon.
The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
O_ASSEN - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in Assen (the Netherlands)

O_ASSEN - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in Assen (the Netherlands) is a bird tracking dataset published by the Vogelwerkgroep Assen, Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected for the study O_ASSEN using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational in 2018 and 2019. In total 6 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird in the city of Assen (the Netherlands), mainly to study space use of oystercatchers breeding in urban areas.
Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

These data were collected by Bert Dijkstra and Rinus Dillerop from Vogelwerkgroep Assen, in collaboration with the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University and the University of Amsterdam (UvA). Funding was provided by the Prins Bernard Cultuurfonds Drenthe, municipality of Assen, IJsvogelfonds (from Birdlife Netherlands and Nationale Postcodeloterij) and the Waterleiding Maatschappij Drenthe. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

The DOI in the citation represents all versions. To find the DOI of the different versions, go to the Zenodo record.
Tracking of Arctic tern migrations 2007-2008

The study of long-distance migration provides insights into the habits and performance of organisms at the limit of their physical abilities. The Arctic tern Sterna paradisaea is the epitome of such behavior; despite its small size (-lt;125 g), banding recoveries and at-sea surveys suggest that its annual migration from boreal and high Arctic breeding grounds to the Southern Ocean may be the longest seasonal movement of any animal. Our tracking of 11 Arctic terns fitted with miniature (1.4 g) geolocators revealed that these birds do indeed travel huge distances (more than 80,000 km annually for some individuals). As well as confirming the location of the main wintering region, we also identified a previously unknown oceanic stopover area in the North Atlantic used by birds from at least two breeding populations (from Greenland and Iceland). Although birds from the same colony took one of two alternative southbound migration routes following the African or South American coast, all returned on a broadly similar, sigmoidal trajectory, crossing from east to west in the Atlantic in the region of the equatorial Intertropical Convergence Zone. Arctic terns clearly target regions of high marine productivity both as stopover and wintering areas, and exploit prevailing global wind systems to reduce flight costs on long-distance commutes.
Purpose: The Arctic tern is known to make the longest annual migration in the animal kingdom. During its breeding season, it is found far to the north where summer days are long, and it winters far south in the southern hemisphere, where the days are longest during November to February. This means that the Arctic tern probably experiences more sun light during a calendar year than any other creature on Earth. The long-distance travel of the Arctic tern is well-known both amongst researchers and in the broader public. Now, for the first time, technological advances allow us to follow the Arctic tern on its immense journey, practically from pole to pole. Supplemental information: Four erroneous points were removed from the original dataset: ARTE_410, 9/17/2007 noon; ARTE_370, 9/13/2007 noon; ARTE_373, 9/15/2007 noon and 9/16/2007 noon. Sand Island (74.263 degrees N, 20.160 degrees W), northeast Greenland, is the breeding colony for these Arctic terns and was placed on the map (red-orange square). Sand Island can be used as the beginning and end of all tracks, but since exact dates of the starting and ending of the migration were not available (high-Arctic zone = continuous day light during summer = poor positions when using geolocators), the tracklines for each animal were not mapped to and from the breeding colony. Original provider: Greenland Institute of Natural Resources Dataset credits: Greenland Institute of Natural Resources
Billards A. 1936.The fishery grounds near Alexandria. VI Hydroidea. Notes et memoires No 13

This is a historical dataset that was published in 1936 by A. Billards and concerns of the faunistic report on the Hydroidea collected during the floristical and faunistical survey of Adolf Steuer on the coasts near Alexandria mainly with the vessel “El Hoot”.
This dataset covers the time span of 2/9/1933 to 12/11/1933 and contains occurrence data of Hydroidea in the coasts of Alexandria, Egypt. The digitization of this dataset was done by LifewatchGreece team.

Hydroidea were found in about 20 sampling stations near Alexandria, Egypt, eastern Mediterranean.

This dataset is only a part from a large faunistical expedition(http://ipt.medobis.eu/resource?r=egyptexpeditionpreliminaryrepor) that took place in the coasts near Alexandria. The samples were collected by A. Steuer. For bottom samples almost exclusively a dredge with 20x70 cm opening was used. A single catch was made in a depth of 20 m with a large otter trawl in the eastern part of the Bay of Abukir. In general, the motor-launch of the Marine Laboratory "El Hoot" was used for dredging and a rowing boat in shallow water. All excursions were one-day trips. After the expedition, taxonomic identification of the samples was done by specialists. The results of this expedition were published in separate for each taxonomic group volumes. Thus, sampling methods were described in a preliminary report by A. Steuer. Species indentification and description were done by A. Billards.