AndreaBozzo/ceres-open-data-index huggingface dataset:
DEMERSTOCK : Biological parameters of 7 species of demersal fish in Mayotte

The DEMERSTOCK project aims to provide biological data on seven species of demersal fish caught on the reefs of Mayotte, so that models can be used to assess stock status. The acquisition of data such as the size, weight, maturity stage and age of the individuals caught is essential for assessing the state of commercial fish populations and stocks. To carry out this study, the following species were selected on the basis of their importance in local fisheries: bluefin trevally (Caranx melampygus), green jobfish (Aprion virescens), rusty jobfish (Aphareus rutilans), redmouth groupper (Aethaloperca rogaa), yellow-edged lyretail (Variola louti) and two deep-water red snapper (Etelis boweni and Etelis carbunculus). The project is based on collaboration with local fishermen and fishmongers to sample the defined species.
HELCOM/ASCOBANS Harbour Porpoise observations

HELCOM countries agreed in 2007, in cooperation with the 1991 Agreement on the Conservation of Small Cetaceans of the Baltic and North Seas (ASCOBANS), to develop a coordinated reporting system and database for harbour porpoise observations in the Baltic Sea, including sightings, bycatch, and strandings. The dataset contains georeferenced point observations of harbour porpoise (Phocoena phocoena) reported by HELCOM Contracting Parties. Data are submitted using a standardised reporting template and compiled into the HELCOM Biodiversity database. The dataset includes both historical and contemporary records, including data originating from earlier initiatives such as the Baltic Sea Porpoise and Jastarnia projects. The compiled dataset supports regional assessment and conservation efforts under HELCOM and ASCOBANS frameworks.
Global scale surface micro-plankton dataset collected with Bongo nets and imaged with FlowCam during the Tara Pacific Expedition

The Tara Pacific expedition sampled differents ecosystems of the oceans during a two-year expedition (2016-2018), collecting environmental data and surface plankton of Atlantic and Pacific Ocean, from viruses to metazoans, on board the 36-metre Tara Schooner. Mesoplankton and plastics were collected with the Bongo nets by scuba divers using an underwater scooter. Samples were taken from the surface, near reefs and lagoons in the Pacific.See https://doi.org/10.17882/102694 and https://doi.org/10.5194/essd-17-2761-2025 for more details.
Dataset of Bottlenose Dolphin Acoustic Recordings from Boat-Based Encounters Using HydroMoth Devices, Event 006 (2024-12-01)

This dataset contains acoustic information derived from underwater recordings of a group of bottlenose dolphins (Tursiops truncatus) during a boat-based encounter on 1 December 2024 off Costes del Garraf (Natura 2000: ES5110020; Catalonia, Spain, NW Mediterranean). Recordings were made using a HydroMoth device (AudioMoth Firmware Basic v1.11.0) by the Institut de Ciències del Mar (ICM-CSIC), with field support from Associació Cetàcea.The workflow relies entirely on open-source tools and is designed to ensure FAIR data publication in biodiversity repositories: media files and supplementary materials are preserved in Zenodo, while structured data are published as a Darwin Core Archive (DwC-A) through GBIF.
MBON_RockyShoreAssemblage_Azores_PortoMartins

Sampling performed within a Marine Biodiversity Data Mobilization Workshop, held in Terceira Azores. The workshop delivered training in field data collection, standards and formats for data sharing in OBIS. This dataset is the result of the participants sampling, with the contribution of professionals on Marine Ecologist, Marine Biologist and Data Science who worked all together to create this resource.
Historical Records of Shallow-Water Shrimp Landings in the Colombian Caribbean: 1993-2023

This database contains information on the landings of the shallow-water shrimp fishery in the Colombian Caribbean, with monthly records available from 1993 to 2023. The data include the year and month of landing, the common names of the species caught, their commercial presentation, and the quantity landed in tons. According to historical information, there is no consistency in taxonomy. Common names and their corresponding species are described as follows: From 1993 to 1998: Red shrimp: Penaeus (Farfantepenaeus) notialis, Pleoticus robustus; White shrimp: Penaeus (Farfantepenaeus) duorarum, Penaeus (Farfantepenaeus) aztecus, Penaeus (Litopenaeus) setiferus, Penaeus (Litopenaeus) schmitti; Tití shrimp: Xiphopenaeus kroyeri; Shrimp (Trachypenaeus): T. similis, T. constrictus; In the year 1999: Red shrimp: Pleoticus robustus; White shrimp: P. (Litopenaeus) schmitti; Shrimp (Trachypenaeus): T. similis, T. constrictus; From 2007 onward: Pink shrimp: P. (Farfantepenaeus) notialis; White shrimp: P. (Litopenaeus) schmitti. In the year 2023 only "shrimp" is recorded, encompassing different species of the Penaeidae family. Currently, these species are taxonomically identified as: Pink shrimp (P. notialis) and White shrimp (P. schmitti). The records also mention the term "national shrimp," which refers to a group of species that did not meet the minimum size for international trade and were destined for local markets. Additionally, the recorded landings originate from vessels using trawl nets, with Cartagena as their main port. In the early years, the nets were made of polyamide with headrope lengths (HRL) ranging from 65 to 90 feet. Later, flat or semi-balloon polyethylene (PE) nets with HRLs of 42 to 46 feet were introduced. A smaller fleet of trawlers operating from Tolú adopted net designs with HRLs of 37 and 42 feet.
Silver eel migration in the Gudena River, Denmark

The population of European silver eel (Anguilla anguilla) has declined tremendously in the last decades. The cause of this decline is unknown, and it is necessary to investigate the migratory behaviour and survival rates of silver eels during the reproductive migration in order to understand if the decline is related to factors acting during that migration. We estimated survival and progression rates of European silver eel migrating in the lower part of the River Gudenaa and during the first phase of the marine migration in the Randers Fjord in Denmark. Fifty migrating silver eel (total body length: 56 to 84 cm) were captured, and each was equipped with an acoustic transmitter. Their migration was subsequently monitored using an array of automatic listening stations, and progression rate and mortality in the river, inner part of the fjord and outer part of the fjord were estimated.Survival was high in fresh water. However, 60% of eels were lost in the inner and outer fjord, supporting the hypothesis that mortality is large in the early phase of the marine migration and that fishing may be a major cause of mortality of silver eels. There was no indication that the slowest-migrating individuals were more prone to fishing mortality than the faster-migrating individuals. Progression rate increased as the eels proceeded downriver and out of the fjord. The migration was predominantly nocturnal, both in the river and fjord. Based on the available evidence, a considerable increase in eel survival in the river–fjord system will be needed in order to fulfil the goals in the European Union recovery plan for eels.
North East Atlantic Ocean- Beach litter aggregated datasets 2001/2023 v2025

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for  the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://nodc.ogs.it/marinelitter/vocab
The harmonized datasets can be downloaded as EMODnet Beach litter data format  Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.
Data from grazing assays along an exposure-gradient in the Northern Baltic Sea, consisting of naturally varying grazer communities, aquatic plant species, and epiphytic diatoms sampled in August 2024.

The dataset consists of data from grazing assays along an exposure-gradient in the Northern Baltic Sea, consisting of naturally varying grazer communities, aquatic plant species, and epiphytic diatoms sampled in August 2024. The data includes variables linked to the grazer community (grazer taxa richness, biomass of different taxa and total biomass), the plant community (species used in the grazing assay, grazing, grazing rate and biomass-standardized grazing rates), and the epiphytic diatom community (species richness, shannon diversity, functional dispersion, community weighted mean traits, and dissimilarities in community composition). The data was collected by Tiina Salo, Marie C. Nordström and Leena Virta.
ARMS-MBON data on long-term monitoring of hard-bottom communities: 18S results from 2018-2020

ARMS-MBON is a network of more than 25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) settlement units in the vicinity of marine stations and Long-term Ecological Research sites in European coastal waters and Ant/arctica. After a few months the units are brought up, and visual, photographic, and genetic assessments are made of the lifeforms that settled on them. The collected data are published (see the related datasets and GitHub links listed in this record) and the omics data analysed. In this record we include the outputs of our analysis of the 18S data from 2018-2020. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been submitted as DwCA to (Eur)OBIS. In addition, all the PEMA inputs and outputs can be found on the ARMS-MBON GitHub site (see links in this record), and the subset of the sampling data to which these 18S results are linked can also be found on the ARMS-MBON GitHub site.
ARMS-MBON data on long-term monitoring of hard-bottom communities: COI results from 2018-2020

ARMS-MBON is a network of more than 25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) settlement units in the vicinity of marine stations and Long-term Ecological Research sites in European coastal waters and Ant/arctica. After a few months the units are brought up, and visual, photographic, and genetic assessments are made of the lifeforms that settled on them. The collected data are published (see the related datasets and GitHub links listed in this record) and the omics data analysed. In this record we include the outputs of our analysis of the COI data from 2018-2020. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been submitted as DwCA to (Eur)OBIS. In addition, all the PEMA inputs and outputs can be found on the ARMS-MBON GitHub site (see links in this record), and the subset of the sampling data to which these COI results are linked can also be found on the ARMS-MBON GitHub site.
ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2018-2020

ARMS-MBON is a network of more than 25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) settlement units in the vicinity of marine stations and Long-term Ecological Research sites in European coastal waters and Ant/arctica. After a few months the units are brought up, and visual, photographic, and genetic assessments are made of the lifeforms that settled on them. The collected data are published (see the related datasets and GitHub links listed in this record) and the omics data analysed. In this record we include the outputs of our analysis of the ITS data from 2018-2020. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been submitted as DwCA to (Eur)OBIS. In addition, all the PEMA inputs and outputs can be found on the ARMS-MBON GitHub site (see links in this record), and the subset of the sampling data to which these ITS results are linked can also be found on the ARMS-MBON GitHub site.
European seas - DIVAnd 4D monthly analysis of Water body chlorophyll-a 1960/2020 v2023

Water body chlorophyll-a - Monthly Climatology for the European Seas for the period 1960-2020 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 2.7.9, 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: mg/m3.
The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
Dolphins validated sightings reported in the Mediterranean Sea from 2019 onwards by avvistAPP users

Sampling Methods
avvistAPP is a free citizen science tool that allows everyone to actively contribute to the monitoring of marine animals. Available both in Google and Apple app stores. App description: https://doi.org/10.13120/h127-9v54

Study Extent	Mediterranean Sea from 2019 onwards.
Method step description:

The reported sightings are validated by researchers.
Bearded fireworms validated sightings reported by avvistAPP users

Validated sightings reported by avvistAPP users. avvistAPP is a free citizen science tool that allows everyone to actively contribute to the monitoring of marine animals. Available both in Google and Apple app stores. App description: https://doi.org/10.13120/h127-9v54
Since summer 2016, the invasive species Mnemiopsis leidyi (ctenophore known as "sea nut") forms huge bloom even in the north Adriatic Sea, creating serious problems for the fishing sector in the Grado and Marano lagoon. The NOCE di MARE project has created a program of observations and research aimed at investigating the dynamics of the massive proliferation of M. leidyi in the waters of the Autonomous Region of Friuli Venezia Giulia and assessing its impact on the ecosystem. The project was financed by the Autonomous Region of Friuli Venezia Giulia (regional law 14/2018, art.2, paragraphs 51-55).
Microzooplankton species composition in the Trieste harbour (Adriatic Sea) - SOS Monitoring, 2008

Environmental monitoring in the port of Trieste after the mooring of the Ro-Ro vessel Und Adriyatik, as requested by the Harbour Master. Water and sediment samples were collected before and after arrival to assess possible impacts on the marine ecosystem. Chemical analyses, plankton abundance and taxonomic composition, biological toxicity tests, and microbiological studies were performed to detect pollutants and ecological changes.
Method step description:Samples were collected using Niskin bottles at various depths, filtered using meshes sized 20 to 200 um, and organism were counted using optical microscopy
Microzooplankton in the Trieste harbour (Adriatic Sea) - SOS Monitoring, 2008

Environmental monitoring in the port of Trieste after the mooring of the Ro-Ro vessel Und Adriyatik, as requested by the Harbour Master. Water and sediment samples were collected before and after arrival to assess possible impacts on the marine ecosystem. Chemical analyses, plankton abundance and taxonomic composition, biological toxicity tests, and microbiological studies were performed to detect pollutants and ecological chan
Method step description:Samples were collected using Niskin bottles at various depths, filtered using meshes sized 20 to 200 um, and organism were counted using optical microscopy
Blue crabs validated sightings reported by avvistAPP users

Validated sightings reported by avvistAPP users. avvistAPP is a free citizen science tool that allows everyone to actively contribute to the monitoring of marine animals. Available both in Google and Apple app stores. App description: https://doi.org/10.13120/h127-9v54
Since summer 2016, the invasive species Mnemiopsis leidyi (ctenophore known as "sea nut") forms huge bloom even in the north Adriatic Sea, creating serious problems for the fishing sector in the Grado and Marano lagoon. The NOCE di MARE project has created a program of observations and research aimed at investigating the dynamics of the massive proliferation of M. leidyi in the waters of the Autonomous Region of Friuli Venezia Giulia and assessing its impact on the ecosystem. The project was financed by the Autonomous Region of Friuli Venezia Giulia (regional law 14/2018, art.2, paragraphs 51-55).
Census of Marine Malacofauna of the Italian Coasts

The census of the Italian marine malacofauna took shape in 1982 by a group of researchers: Daniele Bedulli, Bruno Dell'Angelo, Piero Piani and Gianni Spada with a publication in the Bollettino di Malacologia (Bedulli D., Dell'Angelo B., Piani P., Spada G. 1982. Project for the census of the Italian marine malacofauna. Bollettino Malacologico, 18, 85-94). Subsequently, Filippo Bassignani, Vincenzo Iacono and Bruno Sabelli collaborated on the project, as well as 93 collectors.
The Census of the Italian Marine Malacofauna was a research project by the S.I.M. (Italian Society of Malacology) coordinated by Prof. D. Bedulli of the Department of Evolutionary and Functional Biology of the University of Parma. The project was conceived to increase and organize knowledge on the distribution of marine molluscs of the Italian coasts. This research was necessary because knowledge on the biogeography of the Mediterranean was quantitatively scarce and highlighted a lack of biogeographic data. The aim of the research was to create a database of marine molluscs present on the Italian coasts and their density. Each piece of data (presence and density of a species) is completed by some environmental parameters (e.g. depth, environment, type of substrate, etc.). The main objective of this census was to study the qualitative composition of the coastal malacocenoses of the Italian peninsula and to determine the biogeographic distribution patterns of the different mollusc species, to identify the Lessepsian migrations and the anthropochoric introductions. The data were obtained through a coordinated system of collectors, as well as using the results of various campaigns conducted by research institutions such as: Universities, ENEA, etc. The data collected were checked by SIM "trustees" especially with regard to the systematics.These data come from the old ENEA database, managed by the S. Teresa Centre of ENEA, which collected the data of The Census of the Italian Marine Malacofauna.The Census of the Malacofauna of the Italian coasts was possible thanks to: Daniele Bedulli, Bruno Dell'Angelo, Piero Piani, Gianni Spada, Filippo Bassignani, Vincenzo Iacono, Bruno Sabelli and Aldo Bruschi as well as 93 collectors whose names can be consulted within the dataset.
Arctic Ocean - Eutrophication and Acidity aggregated datasets 1923/2024 v2026

EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters. Data were aggregated and quality controlled by the 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' in Norway.
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets .
Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/ .
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L.
The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ).