AndreaBozzo/ceres-open-data-index huggingface dataset:
SOMLIT-Wimereux (French research infrastructure ILICO) Long Time series in coastal and offshore waters of the eastern English Channel

The two SOMLIT-Wimereux time-series data characterize hydrology and plankton biomass and diversity of the eastern English Channel near Boulogne sur mer, located at 50°40,75'N and 1°31,17'E and 1° 24,64'E . Fortnightly measurements have been undertaken since 1998 by a laboratory involving the CNRS, University of Lille and ULCO, named the Laboratory of Oceanology and Geoscience (UMR 8187 LOG) since 2008 (https://log.cnrs.fr). The SOMLIT-Wimereux observation station is a part of the French monitoring network SOMLIT (https://www.somlit.fr/), accredited by the CNRS as a national Earth Science Observatory (Service National d’Observation : SNO).
It aims to detect the long-term evolution of these ecosystems including both natural and anthropogenic forcings. The development of a systematic approach to observing coastal environments is the result of local initiatives, based either on opportunities or on a tradition of scientific culture specific to each Marine Station / Marine Laboratory. The federation of these efforts by four French coastal stations (Roscoff, Arcachon-Bordeaux, Marseille, and Villefranche-sur-Mer), through RESOMAR, led to the establishment of the Service d'Observation en Milieu Littoral (SOMLIT) in 1995. In 1996, SOMLIT was accredited by the INSU (Ocean-Atmosphere domain), giving it the status of National Observation Service (SNO). The first banked data appeared in January 1997. Following new evaluations, SOMLIT was again accredited in 2001, 2005, 2009, 2015, and 2020. Since its creation, various Marine Stations have joined SOMLIT; 1996: Roscoff, Arcachon-Bordeaux, Marseille, and Villefranche-sur-Mer; 1997 : Banyuls-sur-Mer; 1998 : Wimereux and Brest; 2007 : Luc-sur-Mer; 2011 : La Rochelle; 2012 : Dinard; 2015 : Sète; 2017 : the station of Anglet started the acquisition of SOMLIT parameters. It is not yet in the labelled perimeter. SOMLIT currently includes 11 Marine Stations / Marine Laboratories within its certified perimeter and a Marine Station that acquires data according to SOMLIT protocols. In addition to the acquisition of all the parameters collected under the SNO SOMLIT, additional samples are taken by some LOG researchers to support other SNOs (PHYTOBS, U. Christaki) and related research activities related to the characterization of microbial diversity using molecular tools (S. Monchy -amp; U. Christaki), microbial and phytoplanktonic dynamics using automated approaches (F. Artigas), photosynthetic activity using automated variable fluorescence (F. Lizon) and zooplankton diversity (A. Delegrange). 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.
Global database of key seagrass structure, biomass and production variables - Darwin Core Archive

Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to decipher the role of seagrasses worldwide. This database comprises of data compiled from peer-previewed publications (1975-2020; based on a Web of Science search) containing 11 individual measures of seagrass meadow structure (e.g. percent cover), biomass (e.g. above-ground biomass) and productivity (e.g. shoot production). Each row of data also includes biological, spatial and temporally relevant information such as bioregion, latitude, longitude, sampling year and genera. This compiled database will facilitate a deeper understanding of spatial and temporal patterns in seagrass meadow structure, biomass and production characteristics globally.
Events with orcas - AnavNet

This geographic dataset contains geospatial information related to events (sightings and interactions) with orcas along the Iberian coast, reported through the portal https://geoanavnet.hidrografico.pt. For more information, please consult https://arcg.is/1POGT9. This dataset is part of the High-Value Datasets (HVD) identified in accordance with Implementing Regulation No. 2023/138 of Directive (EU) 2019/1024, concerning open data and the re-use of public sector information.
Biodiversity data from rocky intertidal zones, surveyed from Scotland to Morocco in 2022 and 2023

In 2022 and 2023, the CoastalWarming research team at CIBIO, in Portugal, surveyed the intertidal biodiversity of rocky shores along the North Atlantic coast, from Scotland to Morocco.
The sampling protocol encompassed two approaches to identify and estimate the abundance of the main macrospecies typifying each shore: (i) quadrat sampling and (ii) SACFOR scaling. Some specimens were collected to confirm identifications with a magnifying lens.
Phytoplankton data collected during cruises on the R/V Knipovich in 1948 and 1950

Phytoplankton data collected by the IBSS staff on the R/V Knipovich  in the Black Sea along the Yalta-Batumi transect during the cruise in August-September 1948, and along the Yalta - Sukhumi transect, diurnal station 8, 50 km from Sukhumi in April 1950. This dataset contains abundance data (individuals per liter) for phytoplankton taxa collected in layer and discrete depths samples. Biomass data (mg/m³) are also available for 1948. No additional metadata is available.
This dataset was rescued through data archaeology activities in the framework of the EMODnet Biology data grants.
Koster historical biodiversity assessment

!Important! - Download this dataset as a Darwin-Core Archive file to ensure both individualCount and organismQuantity are included. As of now, data downloads as GBIF Annotated Archives do not include organismQuantity. Dataset of species records extracted from video footage recorded by remotely operated vehicles (ROVs) in the marine protected area Kosterhavets nationalpark on the Swedish west-coast. The original movies were collected during 1997-2023.
This data set is based on videos of 70 transects across slopes and rock walls in the National Park at depths between 7-105 m. Species records were extracted from the movies using Yolov8 model, while depth information was extracted with the easyOCR python package from the ROV video overlays. Original videos are archived and accessible at Tjärnö Marine Laboratory’s (Univerisity of Gothenburg). The analysis was performed using the Swedish platform for subsea image analysis (www.subsim.se). We acknowledge the support of the technical officers and ROV pilots at Tjärnö Marine Laboratory, in particular Tomas Lundälv, Roger Johannesson, and Joel White.
Phytoplankton and environmental data at the LTER  -quot;MareChiara-quot; site (Gulf of Naples, Mediterranean Sea) 1995-2015

The dataset provides the monthly phytoplankton data (species composition and abundance - one sampling per month out of four) collected at the Long Term Ecological Research station “MareChiara” (LTER-MC) in the Gulf of Naples (Tyrrhenian Sea, Western Mediterranean) from 1995 to 2015. The data set also includes environmental variables data (temperature, salinity, nutrients and chlorophyll a) aquired during the same sampling events.
Green Balkans Cetacean monitoring surveys in the Bulgarian Black Sea waters

The Green Balkans dataset contains effort-based occurrence records collected during a cetacean monitoring programme in the Bulgarian Black Sea waters, since 2016. The project is led by the Green Balkans NGO and aims to ensure regular monitoring of cetaceans in Bulgarian territorial and shelf waters in the Black Sea. Platforms are motor sailing yachts and at one occasion a fishing vessel. On-board trained marine mammal observers collected data on: survey effort including meteorological conditions and cetacean sightings. Data is provided in the recent OBIS-ENV-DATA format and comprises 2643 georeferenced positions associated with 1663 occurrences of 3 marine taxa. On several occasions, data was recorded only to level of Family or Superfamily. For each recorded sighting, perpendicular distance is recorded.
Sea Turtles of Dominica (aggregated per 1-degree cell)

Original provider: DomSeTCO/Oceans Forward Dataset credits: Data provider Dominica Sea Turtle Conservation Organization and Oceans Forward Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner Oceans Forward: Leverages technology to empower communities to bring about ocean conservation. Oceans Forward supports innovative science and local actions that have the potential to scale up and change the world.
Abstract: DomSeTCO has been working in Dominica for many years teaching ocean and island conservation. Island ecosystems are fragile at best and with human intervention can become destabilized quickly. DomSeTCO has worked tirelessly for years conserving the sea turtles that make Dominica their home either permanently or temporarily. This project has dual purpose: first, to elucidate the habitats frequented by nesting leatherbacks in the waters of Dominica and their migratory routes for determining sites for high seas MPA's; Second, to be models in the classroom for the global nature of populations and how one small island can effect a global population. Supplemental information: Visit STAT's project page for additional information. This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
Counts of isopods sampled at Gazi Bay (Kenya) between 18 and 25 October 1994

In October 1994, the hyperbenthos of Gazi Bay was sampled at 38 locations using a hyperbenthic sledge to study the diversity of isopods. Sampling (day and night) was conducted in as many different habitats as possible. The data were digitized by VLIZ from the original report: De Bont, R. (1999). Diversiteit van de isopoden van Gazi Bay (Kenia)= Diversity of the isopods of Gazi Bay, Kenya. Thesis. Universiteit Gent: Ghent. 28 pp.
Phytoplankton North Adriatic-Gulf of Trieste C1 – LTER time-series 1986-2005

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).
Seagrass meadow and macrofauna communities in  Southern coast of Algerian Basin (El Mellah Lagoon), 2019

This dataset is the main part of a study conducted monthly throughout 2019 at three stations selected due to their combined continental and marine influences. The study aimed to assess the health status of the El Mellah lagoon. The analysis of the spatio-temporal variation of angiosperms reveals significant changes in their distribution within the lagoon, which appear to be linked to fluctuations in the environmental conditions of El Mellah. It is observed that Zostera noltei (Hornemann, 1832) dominates the stations influenced by freshwater, while Ruppia maritima (Linnaeus, 1753) dominates the northern part of the lagoon, where the influence of marine waters is more pronounced.
The invasive species Arcuatula senhousia, which was first observed in June 2019 in El Mellah, has been found attached to the leaves and rhizomes of Zostera noltei, and to a lesser extent, on the empty shells of the bivalve Cerastoderma glaucum. Since its introduction, it has dominated the bivalve community in El Mellah with a maximum density of 1321 ± 1167 ind.m-2. This phenomenon can lead to a decline in the biodiversity of the lagoon, particularly affecting the Zostera noltei seagrass and the threatened Cerastoderma glaucum species. It is necessary to conduct comprehensive studies to assess the impact of Arcuatula senhousia in the El Mellah lagoon to implement appropriate conservation and restoration measures to preserve the integrity of the ecosystem.-quot;
Acoustic telemetry data for Atlantic cod (Gadus morhua) in the C-Power wind farm in the southern North Sea (Belgium)

This is an acoustic telemetry dataset published by Ghent University. It contains animal (fish) tracking data collected by what later became the Permanent Belgian Acoustic Receiver Network  (https://lifewatch.be/en/fish-acoustic-receiver-network) for the project/study 2010_phd_Reubens, using VEMCO tags (V9) and receivers (VR2W). In total 41 individuals of Atlantic cod (Gadus morhua) were captured, tagged and released in 2010 and 2011 in the C-Power wind farm in the Belgian part of the North Sea, to study their movement behaviour and assess the impacts of offshore wind farms on their movement ecology. This dataset also includes the data of the synchronisation tags present in the study. To calculate exact 2D positions using acoustic telemetry, the time difference of arrival of signals at different receivers is used. Therefore sync tags are needed to account for clock drift in the receivers.
Intensive exploitation of the marine environment by mankind can alter the natural habitat of marine organisms drastically. The addition of artificial hard substrates (e.g. offshore wind turbines) to soft-sediment sandy bottoms is a pervasive example of an anthropogenic habitat change. In this study, we assess the influence of offshore wind farms on the spatio-temporal movement ecology of Atlantic cod (Gadus morhua). The results of this study will be useful for management measures for the conservation and restoration of the cod population.

This study was funded by Research Foundation - Flanders (FWO). Data were exported from the European Tracking Network data portal  (http://www.lifewatch.be/etn)  developed by VLIZ using the ETN R package  (https://inbo.github.io/etn/)  developed by INBO. Field definitions can be found at https://inbo.github.io/etn/articles/etn_fields.html.
Joint Open Sea Surveys 2016, Improving Environmental Monitoring in the Black Sea - Phase II (EMBLAS-II), ENPI/2013/313-169, (Phytoplankton)

Phytoplankton data: species composition, volume of the cell [µm3], abundance [*1000cells/l], biomass (mg/m3) and Carbon biomass collected during the Joint Open Sea Survey (JOSS UA - GE 2016) in the Black Sea waters (Transects Odessa - Batumi - Constanta) onboard the R/V "Mare Nigrum" (Romania) in May-June 2016
Data collected within the EMBLAS-II - EU-UNDP Project 'Improving Environmental Monitoring in the Black Sea' (EMBLAS-II)- (http://emblasproject.org/). EMBLAS-II is co-financed by the European Commission (EC) and United Nations Development Programme (UNDP). The project implementation started on 1 April 2014 and ended on 31 May 2018, having the total duration of 50 months. The EMBLAS project is addressing the overall need for support in protection and restoring the environmental quality and sustainability of the Black Sea. The specific objectives are as follows:  Improve availability and quality of Black Sea environmental data in line with the MSFD and Black Sea Strategic Action Plan (2009) needs; Improve partner countries' ability to perform marine environmental monitoring along MSFD principles, taking into account the Black Sea Diagnostic Report II recommendations on capacity building.  
The National Pilot Monitoring Studies (NPMS) and Joint Open Sea Survey (JOSS) Programme was developed within the framework of Project Activities. The JOSS UA - GE 2016 was performed in period 2016.05.24 - 2016.06.04 in the Black Sea waters (Transects Odessa - Batumi - Constanta) onboard the R/V "Mare Nigrum" (Romania). 
Quantitative phytoplankton samples (58 samples at 25 stations) were collected by vertical series consisting from several sampling depths. The depths were chosen aiming to collect samples from main hydrophysical layers. At each station these layers were defined according to the CTD-sounding performed before the phytoplankton sampling. A special attention paid to the fluorescence profiles obtained simultaneously with the CTD-sounding. The samples were collected from upper mixed layer, upper thermocline layer, and deep chlorophyll-a maximum depth. When the vertical distribution of fluorescence allowed to suppose the presence of phytoplankton at such depths, samples from the Cold Intermediate Layer (CIL) at several stations, lower thermocline and near bottom layers were collected additionally. For sample collecting 5L Niskis bottles attached to the CTD rosette system were used. Volume of sample was equal to 3 L. Sampling performed by A. Zotov (IMB NANU), M. Grandova (UkrSCES)
Monitored bycatch of Mustelus mustelus, Squalus acanthias, Myliobatis aquila, Pteroplatytrygon violacea and Caretta caretta in mid-water pair trawl in the northern Adriatic Sea, from 2006-2017

Gridded data of monitored fishing effort and relative bycatch of Mustelus mustelus, Squalus acanthias, Myliobatis aquila, Pteroplatytrygon violacea and Caretta caretta in mid-water pair trawl in the northern Adriatic Sea from, 2006-2017.
The present dataset focus on the distribution of one elasmobranch species commonly caught by mid-water pair trawlers in the northern Adriatic Sea. Between 2006 and 2017 an extensive monitoring programme of accidental catches of cetaceans, sea turtles and elasmobranchs was conducted on board mid-water pelagic trawlers targeting small pelagic fish. The data collection was supported by the Italian Ministry of Agriculture, Food and Forestry Policies (General Directorate for Fisheries and Aquaculture, Agreement No. 007525) in compliance with the Italian obligations to the Council Regulation (EC) 812/2004. 

Specifically, there are 4 elasmobranchs species (Mustelus mustelus, Squalus acanthias, Myliobatis aquila and Pteroplatytrygon violacea) and 1 reptiles species (Caretta caretta). Data are provided in a gridded form at yearly base and values represent the raw abundances of individuals caught aggregated by year and cell.
In the dataset is also provided the number of fishing operations (fishing haul) aggregated by year and cell. A fishing haul was assigned to a cell considering the cell in which the midpoint of the fishing operation fall within. The spatial grid used for the aggregation have a resolution of 5 nm
2015_PHD_VERHELST_EEL - Acoustic telemetry data for European eel (Anguilla anguilla) in the Scheldt estuary and southern North Sea (Belgium)

This is an acoustic telemetry dataset published by Ghent University. It contains animal (fish) tracking data collected by the Permanent Belgian Acoustic Receiver Network  (https://lifewatch.be/en/fish-acoustic-receiver-network) for the project/study 2015_phd_verhelst_eel, using VEMCO tags (V13) and receivers (VR2AR, VR2Tx, VR2W). In total 136 female individuals of European eel (Anguilla anguilla) were captured, tagged and released between 2015 and 2018 in the Scheldt estuary, to study their migration behaviour - especially their use of selective tidal stream transport - in a tidal system without migration barriers.
Large estuaries with a complete salinity gradient from a tidal freshwater zone to marine have become rare due to water regulating constructions such as sluices, shipping locks, water pumping stations and dams. However, the Scheldt estuary in Belgium still has an extensive estuary of ca 160 km. Diadromous fish have to overcome substantial distances which come with a high energetic cost. Due to the high energetic cost of migration and the low adult survival, some of these species have developed semelparity. Consequently, a bioenergetic trade-off between migration and reproduction may exist for semelparous fish species, especially since many will stop feeding during migration: the smaller the energy expenditure during migration, the larger the amount of energy that may remain available for gonad maturation. An example where migration can have important bioenergetic repercussions is migration through strong tidal systems. To reduce energy loss in such systems, fish may perform selective tidal stream transport (STST): an animal ascends into the water column with the appropriate tide and rests on or in the bottom during the opposite tide. However, the use of STST by silver European eels is still controversial. In this study, we found strong evidence that silver European eels apply STST. The results illustrate that eels can distinguish between ebb and flood and suggest that tides play a role in orientation, either directly or indirectly. The general migration speed was higher in the downstream part of the estuary compared to the upstream part, while tidal migration speed was equal in both parts, indicating that eels migrated more consistently in the downstream part. The results of this study give insight in how a diadromous species migrates through an estuary and underline the importance of the tides.

This dataset was collected using infrastructure provided by VLIZ and INBO funded by the Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Data were exported from the European Tracking Network data portal  (http://www.lifewatch.be/etn)  developed by VLIZ using the ETN R package  (https://inbo.github.io/etn/)  developed by INBO. Field definitions can be found at https://inbo.github.io/etn/articles/etn_fields.html.
Marine Non-native species records from Natural resources Wales (NRW) monitoring research and ad-hoc sightings

This dataset comprised marine surveys undertaken by the Natural Resources Wales (and previously Countryside Council for Wales) for Marine alien and non-native species, currently held in Marine Recorder. The surveys represent ongoing non-native monitoring, sightings and ad-hoc records of invasive and non-native species supplied to NRW or noted outside of other research and monitoring work.
Purpose of data capture: To collate and monitor the spread of non-native around Wales and feed information into the UK non-native portal. This dataset is kept separate from others provided by NRW to allow it to be updated more often.

Methods of data capture: Field observations and incidental records taken by field staff. Presence/absence surveys of marinas around Wales.

Geographical coverage: All Wales, although the majority of data is collected for habitats know to be colonised by non-native species, such as ports and harbours.

Data quality: Not stated.