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North Atlantic Ocean

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    Shapefile containing a set of gridded map layers showing the average abundance of the six most abundant Copepod species from the CPR for different time windows (seasonal, annual) using geospatial modelling. The spatial modelling tool used to calculate the gridded abundance maps is based on DIVA (Data-Interpolating Variational Analysis).

  • In the framework of the R/V J. Rioja (Spanish Institute of Oceanography, IEO-CSIC) routine field and monitoring operations on the Cantabrian Sea waters (southern Bay of Biscay), a continuous thermosalinometer (TSG, SeaBird 21) was installed in 2002 as an IEO contribution to the Ferrybox EU-funded project (2002-2005, EC-FP5-EESD nºEVK2-2002-00144). This research vessel has sampled the area in the framework of the IEO monitoring program RADIALES (monthly sampling, https://www.seriestemporales-ieo.net/). Data was routinely sent to the IEO datacenter and underway data are available from 15th October 2002 to 25th October 2012. During this period, the vessel performed more than 120 monthly sampling cruises with underway TSG data, recording more than 492 000 temperature and salinity lines. A recent revision, standardization and quality control/quality assessment of the dataset have been performed in the framework of SeaDataCloud project (H2020 INFRARAIA-1-2016-2017, n730960). This includes re-checking the clock, position, vessel speed, and recorded temperature and salinity values, as well as vocabularies that facilitate the accesibility of them. The whole dataset is provided with updated quality flags (QF) that improve their reusability. Monthly datafiles and the QF follow the seadatanet.org standards, as in formats as in vocabularies, in the pursuit of the FAIR (findable, accessible, interoperable, and reusable) data principles for sharing. At the moment, these data are freely distributed using OGC standard services (WMS, WFS, etc.) through institutional Thredds (http://centolo.co.ieo.es:8080/geoserver/web/) which facilitates the user's queries, automation of routines (e. g. model validation), and the development and implementation of web services and applications. Ref: Viloria, A. Atlas costero de temperatura y salinidad superficial en el Cantábrico. Master thesis. U Vigo (2012). http://hdl.handle.net/10508/15653 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.

  • LIDAR digital surface modelo, regular grid with 25 mts of spacing between points, from Peniche coastal area.

  • LIDAR digital surface modelo, regular grid with 25 mts of spacing between points, from Porto coastal area.

  • LIDAR digital surface model, regular grid with 25 mts of spacing between points, from Costa Vicentina coastal area.

  • LIDAR digital surface model, regular grid with 25 mts of spacing between points, from Povoa do Varzim Coast.

  • LIDAR digital surface model, regular grid with 25 mts of spacing between points, from Vila Nova de Milfontes coastal area.

  • LIDAR digital surface modelo, regular grid with 25 mts of spacing between points, from Nazare coastal area.

  • LIDAR Digital Surface Model, regular grid with 25 mts of spacing between points for Rio Minho area. Additional info: https://snig.dgterritorio.gov.pt/rndg/srv/por/catalog.search#/metadata/75d36fe737e241d3ac29c42ba7114403?tab=metainfo

  • LIDAR digital surface model, regular grid with 25 mts of spacing between points, from Lagos Portimão coastal area.