Arctic SDI catalogue
Arctic SDI catalogue (Arctic SDI)
Continents, countries, sea regions of the world.
EMODnet Digital Bathymetry (DTM 2020) - Tile B5
The "EMODnet Digital Bathymetry (DTM)- 2020" is a multilayer bathymetric product for Europe’s sea basins covering: • the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland • the English Channel and Celtic Seas • Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea • Iberian Coast and Bay of Biscay (Atlantic Ocean) • Adriatic Sea (Mediterranean) • Aegean - Levantine Sea (Mediterranean). • Madeira and Azores (Macaronesia) • Baltic Sea • Black Sea • Norwegian and Icelandic Seas • Canary Islands (Macaronesia) • Arctic region and Barentz Sea The DTM is based upon more than 16360 bathymetric survey data sets and Composite DTMs that have been gathered from 49 data providers from 24 countries riparian to European seas. Also Satellite Derived Bathymetry data products have been included derived from Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2020 and IBCAO V4. The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that in December 2020 contained > 30.000 survey data sets from European data providers for global waters. This discovery service makes use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). The Composite DTMs are described using the Sextant Catalogue Service that makes also use of SeaDataNet standards and services. Their metadata can be retrieved through interrogating the Source Reference map in the Central Map Viewing service (https://emodnet.ec.europa.eu/geoviewer/ ). In addition, the EMODnet Map Viewer gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as: • water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters). • option to view depth parameters of individual DTM cells and references to source data • option to download DTM in 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), GeoTiff and SD • option to visualize the DTM in 3D in the browser without plug-in • layer with a number of high resolution DTMs for coastal regions • layer with wrecks from the UKHO Wrecks database. The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal. The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
Creative Commons Attribution 4.0 International
The DTM is a grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters). Each grid cell has the following information: - x,y coordinates - minimum waterdepth in meters to LAT - average waterdepth in meters to LAT - maximum waterdepth in meters to LAT - standard deviation of waterdepth in meters - number of values used for interpolation over the grid cell - interpolation flag : 1 when extrapolated from the neighbouring cells - average
Delineation of Coral and Sponge Significant Benthic Areas in Eastern Canada (2016)
Significant Benthic Areas are defined in DFO's Ecological Risk Assessment Framework (ERAF) as "significant areas of cold-water corals and sponge dominated communities", where significance is determined "through guidance provided by DFO-lead processes based on current knowledge of such species, communities and ecosystems". Here we provide maps of the location of significant concentrations of corals and sponges on the east coast of Canada produced through quantitative analyses of research vessel trawl survey data, supplemented with other data sources where available. We have conducted those analyses following a bio-regionalization approach in order to facilitate modelling of similar species, given that many of the multispecies surveys do not record coral and sponge catch at species level resolution. The taxa analyzed are sponges (Porifera), large and small gorgonian corals (Alcyonacea), and sea pens (Pennatulacea). We applied kernel density estimation (KDE) to create a modelled biomass surface for each of those taxa, and applied an aerial expansion method to identify significant concentrations, following an approach first applied in 2010 to this region. We compared our results to those obtained previously. KDE uses only geo-referenced biomass data to identify "hot spots". The borders of the areas so identified can be refined using knowledge of null catches and species distribution models that predict species presence-absence and/or biomass, both incorporating environmental data.
Accumulated Precipitation represents the amount of total precipitation in mm (solid and/or liquid) which has been recorded over a given period of time. Products are produced for the following timeframes: Agricultural Year, Growing Season, Winter Season, as well as rolling products for 7, 14, 30, 60, 90, 180, 270, 365, 730, 1095, 1460 and 1825 days.
Hasse Lake, Alberta - Bathymetry, Digital Elevation Model (Arc ASCII grid format)
All available bathymetry and related information for Hasse Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.
Exploateringskontoret WMS-tjänst, produktionsmiljö
WMS for NOAA/NCDC Blended Monthly 0.25-degree Sea Surface Winds
Gridded and blended sea surface vector winds from multiple satellites with direction from NCEP Reanalysis-2; Global ocean coverage with a 0.25-degree resolution; The whole datasets covers from July 1987 to present, monthly resolution in this dataset; 6-hourly and daily are also available in other directories; See http://www.ncdc.noaa.gov/oa/rsad/blendedseawinds.html and links within for details. Include (u,v) means and scalar mean speed w for comparison
Surface Winds, air-sea flux, air-sea interaction, atmosphere, atmospheric, blended, component, degree, earth science, ekman pumping, ekman transport, means, monthly, ncdc, noaa, ocean upwelling, ocean winds, oceans, scalar, sea, sea surface winds, sea winds, speed, surface, wind, wind stress, wind-driven circulation, wind_speed, winds, windstress, x-component, x_wind, y-component, y_wind
Befolkningsfordelning - demografi, totalbefolkning
Befolkningsfordelning Inspire Visningstjanst. Sveriges totalbefolkning per kilometerruta
Terrestrial Protected Areas Representation by Biogeoclimatic Zone
Biogeoclimatic Ecosystem Classification (BEC) zone boundaries with percent protected, number of overlapping protected areas and other attributes added as a result of geoprocessing in the Protected Area System Overview (PASO) application. Protected area and park representation by BEC zone provides a zonal ecosystem context for natural resource planning processes such as; management plans, land use zoning, environmental risk assessment, landscape analysis, habitat supply, and management of high priority species. For important warnings about using this data for spatial analysis see the Data Quality section of the metadata
/Physical Environment/Bathymetry/Digital Terrain Model
EMODnet - DTM 2020 - TILE B5 - Format ESRI ASCII
EMODnet - DTM 2020 - TILE B5 - Format ESRI ASCII Mean Sea Level
EMODnet - DTM 2020 - TILE B5 - Format EMO
EMODnet - DTM 2020 - TILE B5 - Format EMO (without GEBCO data)
EMODnet - DTM 2020 - TILE B5 - Format RGB GeoTiff
EMODnet - DTM 2020 - TILE B5 - Format XYZ
EMODnet - DTM 2020 - TILE B5 - Format SD
EMODnet - DTM 2020 - TILE B5 - Format NetCDF V4
Coral and Sponge Significant Benthic Areas
Pre-packaged GeoTIF files (No linguistic component)
Hasse Lake, Alberta - Bathymetry, Digital Elevation Model (Arc ASCII grid format) - (ASCII GRID)
Hasse Lake, Alberta - Bathymetry, Digital Elevation Model (Arc ASCII grid format) - (HTML)
Original metadata (https://open.alberta.ca/opendata)
Hasse Lake, Alberta - Bathymetry, Digital Elevation Model (Arc ASCII grid format) - (XML)
Original metadata (https://catalogue.data.gov.bc.ca)
Shom (Service Hydrographique et Océanographique de la Marine)
Bulgarian National Oceanographic Data Centre(BGODC), Institute of Oceanology
CNR, Institute for the Marine and Coastal Environment (IAMC) - Napoli
CNR, Institute of Environmental Geology and Geoengineering (IGAG)
CNR, Institute of Marine Science (ISMAR) - Bologna
CONISMA, National Interuniversity Consortium for Marine Science
Danish Geodata Agency – Danish Hydrographic Office
Danube Delta National Institute for Research and Development
Department of Geology, Geophysics and Coastal Processes - Israel Oceanographic & Limnological Research.
Federal Maritime and Hydrographic Agency
Flemish Ministry of Mobility and Public Works; Agency for Maritime and Coastal Services; Coastal Division
Hellenic Centre for Marine Research, Institute of Oceanography (HCMR/IO)
IFREMER / IDM / SISMER - Scientific Information Systems for the SEA
Jardfeingi, the Faroe Islands Earth and Energy Directorate
Marine Geology and Seafloor Surveying group, Department of Geosciences, University of Malta
Marum - Center for Marine Environmental Sciences, University of Bremen
National Institute for Marine Research and Development "Grigore Antipa"
National Institute of Marine Geology and Geoecology
National Oceanography Centre, Southampton
NIOZ Royal Netherlands Institute for Sea Research
OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Infrastructures Division
Portuguese Institute of Ocean and Atmosphere
Royal Netherlands Navy, Hydrographic Service
Stockholm University, Department of Geological Sciences
Government of Canada; Fisheries and Oceans Canada
Government of Canada; Library and Archives Canada
Government of Canada; Agriculture and Agri-Food Canada; Science and Technology Branch
Government of Alberta; Government of Alberta; Alberta Energy Regulator
Government of British Columbia; Government of British Columbia; BC Parks
OESD Data Request / DSEM Demande de donnés (DFO/MPO)
Data Acquisition Assembly and Distribution / Acquisition, assemblage et distribution de donnée
Annual Average Daily Traffic for individual road sections across the Province, for the calendar year 2018.
The Ministry of Natural Resources and Forestry’s Make a Topographic Map is a mapping application that features the best available topographic data and imagery for Ontario. You can: * easily toggle between traditional map backgrounds and high-resolution imagery * choose to overlay the topographic information with the imagery * turn satellite imagery on or off * customize your map by adding your own text * print your custom map Data features include: * roads * trails * lakes * rivers * wooded areas * wetlands * provincial parks * municipal, township and other administrative boundaries You don’t need special software or licenses to use this application. __Technical information__ Using cached imagery and topographic data, the application provides a fast, seamless display at pre-defined scales. The caches are updated annually.
Prince Edward Island original metadata (https://data.princeedwardisland.ca)
L’application Faire une carte topographique
Original metadata (https://data.ontario.ca)
Original metadata (https://data.ontario.ca/fr)
Government of Prince Edward Island; Government of Prince Edward Island; Transportation, Infrastructure and Energy
Government of Ontario; Government of Ontario; Natural Resources and Forestry