Institute of Marine Biology, Biotechnology and Aquaculture
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Sediment microbial diversity was investigated at the lagoonal complex of the Amvrakikos Gulf (Ionian Sea, Western Greece). Sampling was conducted in February of 2011. DNA was extracted from sediment and PCR amplification followed with primers targeting the V5-V6 region of the 16S rDNA gene. The amplicons were sequenced using the 454 GS FLX Titanium Series (Roche).
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The dataset contains information on abiotic parameters from Bay of Heraklion (Crete, Greece). Data include measurements from the water column and the sediment such as salinity, temperature, pH, oxygen concentration and Redox potential. Moreover, nutrient concentrations (NO2, NO3, NH4, PO4, SiO2) and sediment granulometry are included in the dataset. The samples were collected on October 2016 and July 2017 in the framework of JERICO-NEXT.
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The dataset contains information on the soft sediment microbial communities from the Bay of Heraklion (Crete, Greece). Data include Bacteria and Archaea OTUs based on sequencing of the 16S rRNA gene. The samples were collected on October 2016 and July 2017 in the framework of JERICO-NEXT.
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The dataset contains information on the soft sediment macrobenthic communities from the Bay of Heraklion (Crete, Greece). Data include the species of the taxonomic groups of Mollusca, Annelida, Crustacea and Echinodermata found in the area. The samples were collected on October 2016 and July 2017 in the framework of JERICO-NEXT.
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Jellyfish observations (Citizen Science Data) are collected from the Israeli Mediterranean coast and sea since June 2011 via a webapp (www.meduzot.co.il). Observations are validated by experts in a two-tier process, once daily and again semi-annually. This data is used to alert the public to incoming swarms and helps us increase our knowledge of their behavior, ecology, phenology (e.g. Edelist et al. 2022; Levy et al. 2024), and taxonomy (Edelist et al. 2019). The project also educates and disseminates information about jellyfish sting prevention and treatment (Edelist et al. 2023). This data is also stored in the EU Iliad Project Ocean Information Model.
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The current historical paper dated back in 1892, is available online through the Biodiversity Heritage Library at https://www.biodiversitylibrary.org/page/10122164#page/379/mode/1up (pages 363-373). Its original title is -quot;Campagne de la Melita, 1892. MOLLUSQUES RECUEILLIS SUR LES COTES DE LA TUNISIE ET DE L-#039;ALGÉRIE, par Ph. DAUTZENBERG, ancient President de la Société-quot;. This dataset presents dredging sampling events carried out by researchers off the north coast of Tunisia and Algeria, at several depths. The digitization and standardization process are related to the list of stations sampled and the species - belonging to Phyllum: Mollusca (classes: Pelecypoda, Scaphopoda, Gastropoda,) and Brachiopoda - found. This historical paper is digitized through a Citizen Science Workshop organized by the Hellenic Centre in Marine Research in Lecce, on 15 November 2023, using the Zooniverse platform.
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This dataset sourced from citizen scientists through the TunSea platform (TunSea), focusing on rare, cryptogenic and non-indigenous marine species along Tunisia-#039;s coastline. Initial data, comprising images and comments, underwent careful verification for accuracy. The refined dataset consolidates information linked to each specific observation. This study contributes to understanding the presence and distribution of non-indigenous marine species along the coastline of Tunisia in the south of the Mediterranean Sea.
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<p>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.-nbsp;</p><p>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.</p>
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<p>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.-nbsp;</p><p>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.</p>
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<p>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.-nbsp;</p><p>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.</p>