{"datasetrec":{"DasID":8135,"Acronym":null,"StandardTitle":"ARMS-MBON data on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":null,"VersionDate":"Oct 26 2022 12:55PM","VersionDay":26,"VersionMonth":10,"VersionYear":2022,"SizeReference":null,"EngAbstract":"

ARMS-MBON is a network >25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) in the vicinity of marine stations and LTER 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 organisms on them. These data will be used to assess the status of, and changes in, the hard-bottom communities of these near-coast environments. The project began in 2018 and in 2023 it will be merged into EMBRC's EMO-BON project. The data here are a spreadsheet with the event metadata and the ENA accession numbers (only for the events that resulted in ENA data), and a spreadsheet with the download links to the images and visual observations made during the sampling events. This data is continuously updated as new events are completed, new sequences are added to ENA, and new image data are created. More data and all documentation can be found on the ARMS-MBON GitHub repository.<\/p>","EngDescr":null,"OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":"Oct 26 2022 12:54PM","ReleaseDate0":"2022-10-26","OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":null,"DescrTransFlag":null,"Citation":"Obst, M.; Pavloudi, C.; Gerovasileiou, V.; Exter, K.; Department of Marine Sciences; Faculty of Science. University of Gothenburg: Sweden; Institute of Marine Biology, Biotechnology and Aquaculture. Hellenic Centre for Marine Research: Greece; Flanders Marine Institute: Belgium; (2020): ARMS-MBON data on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities.","AccessConstraints":null,"UDate":"2025-02-03","CDate":"2022-10-26","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-04-03 01:47:42.174469","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":null,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Monitoring: field survey","Progress":"In Progress","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"\"Creative<\/a> This dataset is licensed under a Creative Commons Attribution 4.0 International License<\/a>.","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","AccConstrDescription":"This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":null,"AccConID":21},"dois":null,"spcols":null,"keywords":[{"ThesaurusTerm":"ANE, British Isles, England, Plymouth Sound","ThesTypID":34,"ThesType":"ASFA Geoterms","Code":null,"Description":null,"OrigThesTerm":"ANE, British Isles, England, Plymouth Sound","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"ANE, Denmark, Limfjorden","ThesTypID":34,"ThesType":"ASFA Geoterms","Code":null,"Description":null,"OrigThesTerm":"ANE, Denmark, Limfjorden","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"ANE, France, Brittany, Morlaix Bay","ThesTypID":34,"ThesType":"ASFA Geoterms","Code":null,"Description":null,"OrigThesTerm":"ANE, France, Brittany, Morlaix Bay","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"ASSEMBLEPlus Joint Research Activity 1","ThesTypID":8,"ThesType":"Assemble KO Types","Code":"JRA1","Description":null,"OrigThesTerm":"ASSEMBLEPlus Joint Research Activity 1","DutchTerm":null,"URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Benthic communities","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":null,"Description":null,"OrigThesTerm":"Benthic communities","DutchTerm":"Bentische gemeenschappen","URI":null,"DasKeywordDescr":null},{"ThesaurusTerm":"Biodiversity","ThesTypID":1,"ThesType":"ASFA Thesaurus List","Code":"c_33949","Description":null,"OrigThesTerm":"Biodiversity","DutchTerm":"Biodiversiteit","URI":"http:\/\/aims.fao.org\/aos\/agrovoc\/c_33949","DasKeywordDescr":null},{"ThesaurusTerm":"Genomics","ThesTypID":4,"ThesType":"CAB Thesaurus","Code":"51158","Description":"The generation and analysis of information about genes and genomes by systematic approaches that can be done on a large scale. 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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. <\/p>

In this record we include the outputs of our analysis of the 18S data from the 2020-2022 campaign. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been turned into DwC format. 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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: 18S results from 2020-2022<\/strong>","doi":null,"vlizDoi":null},{"DasID":6405,"Acronym":null,"EngAbstract":"The ARMS-MBON (Marine Biodiversity Observation network for genetic monitoring of hard-bottom communities) European project is a Genomics Observatory and a collaboration of ~20 European institutes. This dataset contains the ARMS data of 2018 for two observatories - this is a test dataset. ","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS 2018 dataset on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities","doi":null,"vlizDoi":null},{"DasID":8617,"Acronym":null,"EngAbstract":"

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. <\/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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: 18S results from 2018-2020","doi":null,"vlizDoi":"10.14284\/705"},{"DasID":8357,"Acronym":null,"EngAbstract":"

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. <\/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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: COI results from 2018-2020","doi":null,"vlizDoi":"10.14284\/620"},{"DasID":8922,"Acronym":null,"EngAbstract":"

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. <\/p>

In this record we include the outputs of our analysis of the COI data from the 2020-2022 campaign. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been turned into DwC format. 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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: COI results from 2020-2022","doi":null,"vlizDoi":null},{"DasID":8612,"Acronym":null,"EngAbstract":"

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. <\/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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2018-2020","doi":null,"vlizDoi":"10.14284\/706"},{"DasID":8921,"Acronym":null,"EngAbstract":"

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. <\/p>

In this record we include the outputs of our analysis of the ITS data from the 2020-2022 campaign. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been turned into DwC format. 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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2020-2022","doi":null,"vlizDoi":null},{"DasID":8618,"Acronym":null,"EngAbstract":"

In this Belgian EMBRC Joint Development Activity, funded by FWO, we tested deployment of Autonomous Reef Monitoring Structures (ARMS) in coastal dynamic environments and assessed different retrieval strategies in a methodological study. ARMS are typically deployed in shallow and sheltered areas, like ports and marinas, and are easily accessible with divers. Deploying further offshore, at greater depths and in dynamic environmental conditions with high currents and limited visibility, complicates deployment and retrieval strategies by divers. To this end we explored two set-ups to anchor ARMS in an offshore windmill farm: a concrete anchor and a tripod mounted with a float and acoustic release system. Each set-up was mounted with 3 replicate ARMS units, with each replicate unit undergoing a different retrieval treatment. One replicate unit was left uncovered and winched on board of the RV using the vessels\u2019 A-frame, one replicate units was covered with a crate by a diver before being winched on board, a third replicate unit was covered by a mesh and crate, cut loose from the anchor or tripod by a diver and brought to the surface by hand. Motile and sessile fractions were identified morphologically and subsequently used for the development of sequencing protocols for Oxford Nanopore Technologies (ONT). <\/p>

The JDA will deliver SOPs related to the operational and dive work at sea, lab processing, including the construction of a standardized photo set-up, subsequent morphological analysis and sequencing using ONT. <\/p>","License":null,"StandardTitle":"EMBRC-BE Joint Development Activity: Optimisation of in-situ sampling from ARMS in dynamic coastal environments","doi":null,"vlizDoi":null}],"othrel":null,"othrelrev":null,"ownerships":[{"OrderNr":1,"Surname":"Obst","Firstname":"Matthias","Initials":"M.","PerPublicFlag":1,"AdrID":null,"Email":null,"InsPublicFlag":1,"Acronym":null,"OrigNameLangCode":null,"OrigNameLangID":null,"FullOrigName":null,"InsOwnerCNT":1,"PersID":34431,"InsID":14530,"FullInstitute":"University of Gothenburg; Faculty of Science; Department of Marine Sciences","RoleID":24,"Role":"Contact","OrigName":null,"StandardName":"Department of Marine 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Early detection and diversity of benthic alien species along the northeast Atlantic Ocean coastline. MSc Thesis. Department of Marine Sciences, University of Gothenburg\/Marine Animal Ecology: G\u00f6teborg\/Wageningen. 14 pp.","RR":"van Berkel, D.<\/b> (2022). Early detection and diversity of benthic alien species along the northeast Atlantic Ocean coastline. MSc Thesis. Department of Marine Sciences, University of Gothenburg\/Marine Animal Ecology: G\u00f6teborg\/Wageningen. 14 pp.","4":"Early detection and diversity of benthic alien species along the northeast Atlantic Ocean coastline","StT":"Early detection and diversity of benthic alien species along the northeast Atlantic Ocean coastline","5":"van Berkel, D.","RSA":"van Berkel, D.","6":"Gebaseerd op deze dataset","DutchTerm":"Gebaseerd op deze dataset","7":null,"AnaDate":null,"8":2022,"MonDate":2022,"9":". MSc Thesis. 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