AndreaBozzo/ceres-open-data-index huggingface dataset:
Manx Basking Shark Watch 2017-2018 (aggregated per 1-degree cell)

Manx Basking Shark Watch is a charity with two aims 1: To study basking sharks.2: To help the public to understand as much as possible about these enigmatic endangered animals and our work with them.
Original provider: Manx Basking Shark atch Dataset credits: Data provider Manx Basking Shark Watch Originating data center Satellite Tracking and Analysis Tool (STAT)Project partner Dr Matt Witt of Exeter University has also been tagging basking sharks. He and his team very kindly analyse our tag data with theirs, adding huge value to our work. We have jointly published papers about this work in Nature Scientific Papers. See the paper here https://www.nature.com/articles/srep42837 Project sponsor or sponsor description The Manx Government's Department of Environment, Fisheries and Agriculture (DEFA) generously supports the running costs of Happy Jack, the MBSW research boat.The Manx Lottery Trust very kindly sponsored Mae's SPOT tag. 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.
Northern Cyprus 2005: Loggerhead Turtles (aggregated per 1-degree cell)

The Marine Turtle Conservation Project is a project of the Marine Turtle Research Group and has been monitoring the nesting beaches of Northern Cyprus since 1992. The project is in collaboration with the Society for the Protection of Turtles in Northern Cyprus (SPoT) and the Department of Environmental Protection. In Northern Cyprus both green and loggerhead turtles nest. Green turtles in the Mediterranean are listed as critically endangered by the IUCN, with estimates suggesting that there are as few as 300-400 females nesting annually in this region. Loggerhead turtles nest in slightly greater numbers, with approximately 2000-3000 females nesting annually. Approximately 30 % of the green and 10% of the loggerhead turtles in the Mediterranean nest in Northern Cyprus.
Original provider: Annette Broderick Dataset credits: Data provider Marine Turtle Research Group Originating data center Satellite Tracking and Analysis Tool (STAT)Project partner Marine Turtle Research Group (Annette Broderick, Wayne, Fuller and Brendan Godley) of the University of Exeter, UK, and the Society for the Protection of Turtles in Northern Cyprus (SPoT) Project sponsor or sponsor description Our satellite tracking projects have been supported by Apache Corporation, BP Egypt, British Chelonia Group, Cyprus Turkish Airlines and Natural Environment Research Council. In addition, Liff Primary School have supported the MTCP over many years with their fund-raising efforts. We are now looking for other commercial sponsors and schools/youth groups who might like to join us in the tracking of more turtles in 2005. You can contact us on MTRG@seaturtle.orgSupplemental 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.
SHARK - National phytoplankton monitoring in Sweden since 1983

Data collected within various monitoring programmes and surveys. Standard quantitative phytoplankton techniques following HELCOM MONAS guidelines. Counts and sometimes biovolumes on species level.
Phytolankton have been monitored in Sweden since 1983.
The national monitoring program was initiated by the Swedish Environmental Protection Agency and is now financed by the Swedish Agency for Marine and Water Management. Monitoring is performed by Stockholm University, Swedish Meteorological and Hydrological Institute, Gothenburg University and Umeå University. 
Data are stored in the Swedish Ocean Archive database (SHARK), by the Swedish Meteorological and Hydrological Institute. Data are collected and analyzed according to the HELCOM COMBINE Manual - Part C Annex C6 Monitoring of phytoplankton species composition, abundance and biomass (https://www.helcom.fi/wp-content/uploads/2019/08/Guidelines-for-monitoring-phytoplankton-species-composition-abundance-and-biomass.pdf) or similar methods.
"In short, analysis of phytoplankton species composition, abundance and biomass is carried out for the following purposes • to describe temporal trends in phytoplankton species composition, phytoplankton abundance, biomass as well as the intensity and occurrence of blooms • to describe the spatial distribution of phytoplankton species • to identify key phytoplankton species (e.g. dominating, harmful, potential non-indigenous and/or invasive species, as well as indicator species) • to provide basic data for complex ecosystem analyses, food web studies, modelling as well as political and social requirements such as indicators in the frame of the Marine Strategy Framework Directive of the European Union (MSFD; European Union 2008) and the EU Water Framework Directive (WFD; European Union 2000)” (HELCOM COMBINE Manual https://www.helcom.fi/wp-content/uploads/2019/08/Guidelines-for-monitoring-phytoplankton-species-composition-abundance-and-biomass.pdf)
Information about the program and the methods are also available in Swedish at https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/vaxtplankton.html

Data are collected and analyzed according to the HELCOM COMBINE Manual - Part C Annex C6 Monitoring of phytoplankton species composition, abundance and biomass (https://www.helcom.fi/wp-content/uploads/2019/08/Guidelines-for-monitoring-phytoplankton-species-composition-abundance-and-biomass.pdf) or similar methods.
SHARK - National marine environmental monitoring of zooplankton in Sweden since 1979

The national monitoring program was initiated by the Swedish Environmental Protection Agency and is now financed by the Swedish Agency for Marine and Water Management.

Monitoring is performed by Stockholm University, Umeå University, Swedish Meteorological and Hydrological Institute and Gothenburg University. Data are stored in the Swedish Ocean Archive (SHARK) by the Swedish Meteorological and Hydrological Institute (SMHI).
Data should be sampled and analyzed according to the HELCOM COMBINE Manual - Part C Annex C7 Mesozooplankton (https://helcom.fi/media/publications/Guidelines-for-monitoring-of-mesozooplankton.pdf). However, deviations from the manual might occur. Information about the program and the methods are available in Swedish at the website of Swedish Agency for Marine and Water Management, https://www.havochvatten.se/vagledning-foreskrifter-och-lagar/vagledningar/ovriga-vagledningar/undersokningstyper-for-miljoovervakning/undersokningstyper/djurplankton-trend--och-omradesovervakning.html

Sampling Methods
Samples are taken with vertical hauls using a WP-2 net. The samples are preserved and subsequently analyzed using microscopy.
Acoustic detections in Northeast and South Atlantic

Abstract: Acoustic detections of odontocetes from over 30,000km of survey effort from the Arctic, Atlantic, Southern and Indian Oceans, using a streamlined workflow for increasing the speed of acoustic analysis for large datasets utilizing existing modules within PAMGuard.
Original provider: Thomas Webber, University of St Andrews Dataset credits: Thomas Webber, University of St Andrews Supplemental information: Each record represents species presence only. Records of "SONAR" were dropped. Survey trackline is provided as a static image online.
Biometric measurements of the seagrass Zostera noltii in the Mira channel of the Ria de Aveiro throughout the year 2020

Biometric measurements (shoot density, leaf width, leaves per shoot and leaf area) carried out in the Zostera noltei meadows along the Mira channel of the Ria de Aveiro lagoon throughout 2020.
Z. notei was collected in six areas distributed along the Mira channel of the Ria de Aveiro in nine visits over the course of a year. In each area, four corers were randomly collected along a transect of 5 meters. At the laboratory, corers were cleaned from sediments to measure seagrass biometrics. To determine the vegetative shoot density the vertical shoots of each corer were counted. Four vertical vegetative shoots with apparently healthy leaves and roots were randomly chosen in each corer to measure leaves per shoot, leaf width and leaf surface area. The average value of those four shoots was assigned for each corer. Leaves per shoot was calculated by counting the number of leaves in each shoot. Leaf width was measured with a millimeter caliper. The leaf surface area was calculated by dividing the total leaf area per shoot (leaf length x leaf width) by the number of leaves per shoot. 

•	Shoot density / shoot per square metre / Counting number of shoots in a surface area (n=4)
•	Leaf width / centimetre / Measuring with a tape measure (n=4)
•	Leaf area / Area surface / Multiplying the leaf width by the sum of the leaf length per vertical shoot and dividing it by the total number of leaves per shoot (n=4)
•	Leaves per shoot / Number of leaves per shoot / Counting the number leaves per shoot (n=4)
Grey seals GPS telemetry in Baie de Somme

Twelve grey seals (Halichoerus grypus) were captured in the Baie de Somme, Picardie (France) between May and September 2012 and fitted with Fastloc GPS/GSM tags (Sea Mammal Research Unit - SMRU, UK). The project was funded by the Région Poitou-Charentes. The study was conducted by Cecile Vincent at the University of La Rochelle (France) in collaboration with SMRU, the Parc naturel marin des estuaires picards et de la mer d’Opale, Picardie Nature, PELAGIS (CNRS/La Rochelle University) and the Office national de la chasse de la faune sauvage (ONCFS). Seals were caught under licenses delivered by the French ministry of the environment.
Original provider:
Cécile Vincent, Centre d’Études Biologiques de Chizé

Dataset credits:
Cecile Vincent, CEBC (CNRS/La Rochelle University)

Abstract:
Twelve grey seals (Halichoerus grypus) were captured in the Baie de Somme, Picardie (France) between May and September 2012 and fitted with Fastloc GPS/GSM tags (Sea Mammal Research Unit - SMRU, UK). The project was funded by the Région Poitou-Charentes. The study was conducted by Cecile Vincent at the University of La Rochelle (France) in collaboration with SMRU, the Parc naturel marin des estuaires picards et de la mer d’Opale, Picardie Nature, PELAGIS (CNRS/La Rochelle University) and the Office national de la chasse de la faune sauvage (ONCFS). Seals were caught under licenses delivered by the French ministry of the environment.

Purpose:
Identification of individual movements and foraging areas of grey seals
Report on the Danish Oceanographical expeditions 1908-1910 to the Mediterranean and adjacent seas. Vol II Biology. A.8 Lepadogaster By Frederic Guitel (1919)

This is a historical dataset that forms part of the Report on the Danish Oceanographical Expeditions 1908-1910 to the Mediterranean and adjacent seas. It includes data for the fish of the genus Lepadogaster sampled from several sites of the North Atlantic Ocean, near the English and French coasts and the Strait of Gibraltar during the years 1904-1910. The infromation extraction was based on the Table 1 of the publication and included abundance data and metadata of location, date, depth and the sampling effort. Additional information, such as the life stage, was extracted from the main text of the publication. The dataset was curated by the citizen scientists of the Zooniverse platform within the efforts of incorporating citizen science in the management of historical datasets of EMODnet Biology project. Standard quality control steps followed after this process.
Sampling Methods - The sampling instrument was a Petersen surface trawl. It was provided with several lengths of cable thrown into the sea so the depth of the sampling varied according to this length.

Taxonomic Coverage - The dataset regards the Lepadogaster genus. In the original publication it is stated: "It is certain that they all belong to the group of Lepadogaster with short dorsal and fins, i.e. with less than nine rays (L. bimaculatus and microcephalus) but the alteration of pigmentation and the lack of data on the embryonic characteristics of the two species prevent us for the moment from going further." Two individuals of the species Lepadogaster candolii Risso, 1810 are also reported but they are not included in the Table 1 of the publication so they were not included in the dataset.
CARESAT (aggregated per 1-degree cell)

CARESAT is a project funded by the Tuscany Region (Italy) aiming to use satellite telemetry to increase the limited information currently available on the movements of loggerhead turtles frequenting Tuscany waters and the Pelagos Marine Sanctuary. To this aim, turtles found in Tuscan waters and rehabilitated in Tuscan rescue centers will be equipped with satellite transmitters, to reconstruct the movements made by tracked individuals, to identify the areas of the Sanctuary that are mainly frequented, and to reveal hitherto unknown aspects of their ecology and behavior.
Original provider:
Islameta Group, University of Pisa

Dataset credits:
Data provider
Islameta Group, Dept. of Biology - University of Pisa
Originating data center
Satellite Tracking and Analysis Tool (STAT)
Project partner
Parco Regionale della Maremma (Maremma Regional Park)
Project sponsor or sponsor description
Osservatorio Toscano Cetacei e Tartarughe (Tuscan Observatory Cetaceans and Turtles)

Abstract:
CARESAT is a project funded by the Tuscany Region (Italy) aiming to use satellite telemetry to increase the limited information currently available on the movements of loggerhead turtles frequenting Tuscany waters and the Pelagos Marine Sanctuary. To this aim, turtles found in Tuscan waters and rehabilitated in Tuscan rescue centers will be equipped with satellite transmitters, to reconstruct the movements made by tracked individuals, to identify the areas of the Sanctuary that are mainly frequented, and to reveal hitherto unknown aspects of their ecology and behavior.

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.
Romanian Black Sea Zooplankton data from 2001 to 2010

The zooplankton dataset contains samples collected during 2001-2010, from different stations, from the Romanian Black Sea waters. Samples were collected from different depths, in different seasons . All samples were collected using the modified Juday net, with an opening of 36 cm diameter. Zooplankton samples were analyzed both from quantitative (density and biomass) and qualitative (list of species) point of view.
Sampling Methods
The sampling was carried out from standard depths with Juday net. A sample of 500 ml was collected from each depth or from bottom of Sea to surface by towing the net

Study Extent	Current dataset extends from 2001 to 2010, from January to December, without a similar annual frequency. The samples were collected from 29 transects in the Black Sea, covering coastal, shelf and offshore Romanian waters.
Quality Control	Data in the Romanian Black Sea zooplankton dataset were collected by experienced scientists. The data entry was done by a scientific team. The introduced data were checked by another scientist and the input errors were corrected, following the zooplankton datasheets.
Method step description:

This dataset was compiled from a historical collection of zooplankton datasheets. These data sheets were used as a protocol for zooplankton sampling and analysis. They provided information about the metadata (sampling transect, station number, coordinates of the sampling station, sampling depth, sample collection date, name of the researcher who processed the sample, name of the expedition, etc.); the equations used to calculate the abundance of zooplankton species; and data (identified species, individs counted in the subsample, total abundance, and total biomass).
The sampling was carried out from standard depths with Juday net. A sample of 500 ml was collected from each depth or from bottom of Sea to surface by towing the net. The samples were preserved with 80 ml of buffered 37 % formaldehyde solution/ 1000 ml of water sample. The mesozooplankton sample was homogenised, and quantitative and qualitative processing was performed. Organisms were counted in subsample(s) until each of the three dominant taxonomic groups reached 100 individuals. For the estimation of large animals‘ numbers, the whole sample was examined in a Petri dish or Bogorov Chamber.
Arctic soft-sediment macrobenthos

Samples of the macrobenthic fauna of soft sediments were collected from around Svalbard during the 1991 Arctic EPOS cruise of RVPolarstern
Although faunal variability could be related to sediment granulometry and depth, all stations to the south and east of the Archipelago lay within the broadly defined central Barents Sea community. In this community, (alfa-diversity was variable and sampled between 77 and 337 m showed no clear relationship to depth. Diversity in the area close to the polar front was notably high, rarefaction predicting that 43 ± 5.5 species might occur in a sample of 201 individuals. k-Dominance plots suggested that muddy sand communities around Sval- bard were no less diverse than similar assemblages in the North Sea.
North Cyprus 2017 (aggregated per 1-degree cell)

This year we are targeting satellite tracking of loggerheads to specific females at Alagadi. PhD student Julia Haywood has spent a year in the lab using forensics to find out which of the regular Alagadi nesting females may be using certain areas of interest as foraging sites. With a hit list of females in hand we set about tracking known females, but due to a relatively poor turnout of nesting females, not many of our target girls turned up. We therefore only managed to track 4 of our target of 11 females. Seven transmitters are ready to go out in 2018 when we hope to see more loggerhead nesting.
Original provider: Marine Turtle Research Group Dataset credits: Data provider Marine Turtle Research Group Originating data center Satellite Tracking and Analysis Tool (STAT)Project sponsor or sponsor description Many thanks to the following supporters:Kuzey Kibris Turkcell - Annual sponsorship of £-gt;1000.English School of Kyrenia - Regular fund and awareness raising effort. Pacific rentals - regular sponsorship.Alpadeo web design - voluntary web design and management.Burak Eyyüpler - voluntary veterinary support.  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.
Georgia Aquarium/DomSeTCO Leatherback's of Dominica (aggregated per 1-degree cell)

Dominica Sea turtle Conservation Organization, in partnership with the Georgia Aquarium, are working to research and conserve sea turtles in Dominica.  A small island in the Caribbean, Dominica has several sea turtle species nesting on it's beaches. Leatherbacks have been the main focus due to poaching on the island of adults and nests. Georgia Aquarium and DomSeTCO support patrollers on the main leatherback nesting beaches and has initiated a sea turtle tour program bringing visitors and locals alike to witness sea turtle nesting events on the island.
Original provider:
Jake Levenson

Dataset credits:
Data provider
Dominica Sea Turtle Conservation Organisation
Originating data center
Satellite Tracking and Analysis Tool (STAT)


Abstract:
Dominica Sea turtle Conservation Organization, in partnership with the Georgia Aquarium, are working to research and conserve sea turtles in Dominica.  A small island in the Caribbean, Dominica has several sea turtle species nesting on it-#039;s beaches. Leatherbacks have been the main focus due to poaching on the island of adults and nests. Georgia Aquarium and DomSeTCO support patrollers on the main leatherback nesting beaches and has initiated a sea turtle tour program bringing visitors and locals alike to witness sea turtle nesting events on the island.

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.
CorMedNet- Distribution and demographic data of habitat-forming invertebrate species from Mediterranean coralligenous assemblages between 1882 and 2019.

This dataset compiles data on geographic and depth distribution, demography, population and mortality, of different habitat-forming invertebrate species dwelling the Mediterranean coralligenous assemblages.
This dataset gathers published scientific papers, as well as grey literature and technical reports. We used different search strategies in the ISI Web of Knowledge and Google Scholar, introducing distinct sets of keywords, and contacts with researchers across the Mediterranean. 
 
The dataset provides information about the survey year, geographic coordinates, marine ecoregion, protection status of the geographic location, depth distribution range, species name, type of study conducted (distribution, demographic, population genetics or other), sampling methods, and different demographic parameters when available (i.e. density, colony height, recruitment, and mortality rates). 
The dataset includes available information of different habitat-forming marine invertebrate species, including key species such as octocorals and bryozoans, among others. 
The published scientific papers, grey literature, and technical reports include both in situ SCUBA sampling, and video or photo surveys.
Progetto Egadi (aggregated per 1-degree cell)

N/A
Original provider:
Islameta Group, University of Pisa

Dataset credits:
Data provider
Islameta Group, Dept. of Biology - University of Pisa
Originating data center
Satellite Tracking and Analysis Tool (STAT)


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.
Acoustic detections from research cruises in the Med sea, 1994-2001

CIBRA Center for Bioacoustics, Univ. of Pavia, organizes research cruises in the Med sea since 1994. Visual and acoustic contacts (1994 - 2001) are available on OBIS-SEAMAP, while acoustic recordings are stored in our Sound library and available upon request.
Original provider:
Claudio Fossati, University of Pavia

Dataset credits:
Claudio Fossati and Giulia Romè, CIBRA Center for Bioacoustics, University of Pavia

Abstract:
CIBRA Center for Bioacoustics, Univ. of Pavia, organizes research cruises in the Med sea since 1994. Visual and acoustic contacts (1994 - 2001) are available on OBIS-SEAMAP, while acoustic recordings are stored in our Sound library and available upon request.

Purpose:
Data were collected during cetacean research campaigns, acoustic software and hardware development campaigns.

Supplemental information:
Tracks of the cruises are coarse in June and Sept 1994, June 1995. From 1996 on, tracks are finer.
Data from visual contacts are registered in a separate dataset Visual contacts from research cruises in the Med sea, 1994-2001.
POPA- Fisheries Observer Program of the Azores: Seabird sightings in the Azores tuna fishery from 2000 on: during navigation or search mode

Sightings of birds were recorded daily, at 6 different fixed periods (snap shots), when the boat was in navigation or search mode.
For more detailed information on the dataset, including abundances estimates, please contact data owner (miguel@uac.pt)
Cefas01 - Structure of sublittoral nematode assemblages around the UK coast

Nematode and harpacticoid copepod species abundance data are listed as counts per sample. Other available data include sediment granulometry and trace metal concentrations. For a detailed description, see listed publications
Meiobenthos was sampled and environmental variables were measured at a number of stations around the UK coast to improve the understanding of how species assemblages respond to both anthropogenic impacts and natural environmental factors.