{"datasetrec":{"DasID":8612,"Acronym":null,"StandardTitle":"ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2018-2020","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":"1","ContactEmail":null,"VersionDate":"Jun 27 2024  7:17AM","VersionDay":27,"VersionMonth":6,"VersionYear":2024,"SizeReference":null,"EngAbstract":"<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>","EngDescr":null,"OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":"Jun 30 2024  7:17AM","ReleaseDate0":"2024-06-30","OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":null,"DescrTransFlag":null,"Citation":"Obst, M.; Exter, K.M.; Pavloudi, C.; Pagnier, J.; Genin, A.; Balazy, P.; Broudin, C.; Cancio, I.; Che\u0142chowski, M.; Chrismas, N.; Comtet, T.; Dailianis, T.; Daraghmeh, N.; Deneudt, K.; Diaz de Cerio, O.; Gonz\u00e1lez, J.; Kauppi, L.; Kristoffersen, J.B.; Kukli\u0144ski, P.; Lasota, R.; L\u00e9v\u00eaque, L.; Liraz, L.; Loisel, S.; Ma\u0142achowicz, M.; Mavric, B.; Mortelmans, J.; Paredes Rosendo, E.; Po\u0107wierz-Kotus, A.; Reiss, H.; Santi, I.; Solbakken, J.; Souza Troncoso, J.; Staehr, P.; Tajadura, J.; Thyrring, J.; Viard, F.; Zafeiropoulos, H.; Zbawicka, M.; University of Gothenburg, Faculty of Science, Department of Marine Sciences: Sweden; Flanders Marine Institute: Belgium; Hellenic Centre for Marine Research, Institute of Marine Biology, Biotechnology and Aquaculture: Greece; The Interuniversity Institute for Marine Sciences Of Eilat: Israel; Polish Academy of Sciences, Institute of Oceanology: Poland; Sorbonne Universit\u00e9, Station Biologique de Roscoff: France; University of the Basque country, Plentzia Marine Station: Spain; Marine Biological Association of the UK: United Kingdom; University of Vigo, Ecology and Animal Biology Department, Station of marine Science of Toralla: Spain; University of Helsinki, Tv\u00e4rminne Zoological Station: Finland; University of Gdansk, Faculty of Biology, Geography and Oceanology, Institute of Oceanography: Poland; National Institute of Biology, Marine Biological Station Piran: Slovenia; Nord University, Faculty of Bioscience and Aquaculture: Norway; &nbsp;European Marine Biological Research Centre: France; University of Vigo, Ecology and Animal Biology Department, Faculty of Marine Sciences: Spain; University of Aarhus, Faculty of Technical Sciences, Department of Ecoscience: Denmark; (2020): ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2018-2020","AccessConstraints":null,"UDate":"2026-01-26","CDate":"2024-06-27","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-01-26 11:34:07.190545","timezone_type":1,"timezone":"+01:00"},"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":"Completed","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"<a rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border:0px;height:15px;width:80px;vertical-align:middle;\" src=\"https:\/\/www.marinespecies.org\/aphia\/images\/cc\/by.png\" \/><\/a> This dataset is licensed under a <a rel=\"license\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" target=\"_blank\">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. 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Flanders Marine Institute: Belgium; Hellenic Centre for Marine Research, Institute of Marine Biology, Biotechnology and Aquaculture: Greece; The Interuniversity Institute for Marine Sciences Of Eilat: Israel; Polish Academy of Sciences, Institute of Oceanology: Poland; Sorbonne Universit\u00e9, Station Biologique de Roscoff: France; University of the Basque country, Plentzia Marine Station: Spain; Marine Biological Association of the UK: United Kingdom; University of Vigo, Ecology and Animal Biology Department, Station of marine Science of Toralla: Spain; University of Helsinki, Tv\u00e4rminne Zoological Station: Finland; University of Gdansk, Faculty of Biology, Geography and Oceanology, Institute of Oceanography: Poland; National Institute of Biology, Marine Biological Station Piran: Slovenia; Nord University, Faculty of Bioscience and Aquaculture: Norway; \u00a0European Marine Biological Research Centre: France; University of Vigo, Ecology and Animal Biology Department, Faculty of Marine Sciences: Spain; 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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>","License":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","StandardTitle":"ARMS-MBON data on long-term monitoring and biodiversity assessment of invasive and indigenous hard-bottom communities","doi":null,"vlizDoi":null}],"children":null,"othrel":null,"othrelrev":[{"DasID":1510,"Acronym":"EurOBIS","StandardTitle":"European Ocean Biodiversity Information System","Relation":"Published dataset","RelationY":"Published in","RelID":13,"doi":null,"vlizDoi":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":6,"PersID":34431,"InsID":14530,"FullInstitute":"University of Gothenburg; Faculty of Science; Department of Marine Sciences","RoleID":20,"Role":"Data owner","OrigName":null,"StandardName":"Department of 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