{ "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "lIyP9Z7XLAJI" }, "source": [ "# Accesssing EMODnet Physics data (ERDDAP)\n", "#### Written by Pascal Derycke (Marine Analyst) and Laurent Dubroca (Ifremer)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 52 }, "colab_type": "code", "id": "FCY1JJMgUWHf", "outputId": "593a2acc-ccc2-4483-93f3-c24e74b4fb1e" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Warning message in install.packages(\"rgdal\"):\n", "“installation of package ‘rgdal’ had non-zero exit status”\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n", "Warning message in install.packages(\"knitr\"):\n", "“installation of package ‘knitr’ had non-zero exit status”\n", "Installing package into ‘/home/jupyter-webmaster/R/x86_64-pc-linux-gnu-library/3.6’\n", "(as ‘lib’ is unspecified)\n", "\n" ] } ], "source": [ "# This is a test for mybinder.com\n", "# if you envoy dirty code then it is for you :-)\n", "# Install R packages\n", "install.packages('ggplot2')\n", "install.packages('ggmap')\n", "install.packages('ggrepel')\n", "install.packages('raster')\n", "install.packages('rasterVis')\n", "install.packages('mapdata')\n", "install.packages('sp')\n", "install.packages('downloader')\n", "install.packages('rgdal')\n", "install.packages('XML')\n", "install.packages(\"rgeos\")\n", "install.packages(\"knitr\")\n", "install.packages(\"kableExtra\")" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "qjD79tZC2Zcz" }, "source": [ "Now that they are installed, we need to load them into memory:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": {}, "colab_type": "code", "id": "P2oqeea-RDR4" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading required package: sp\n", "\n", "rgdal: version: 1.5-23, (SVN revision 1121)\n", "Geospatial Data Abstraction Library extensions to R successfully loaded\n", "Loaded GDAL runtime: GDAL 2.2.3, released 2017/11/20\n", "Path to GDAL shared files: /usr/share/gdal/2.2\n", "GDAL binary built with GEOS: TRUE \n", "Loaded PROJ runtime: Rel. 4.9.3, 15 August 2016, [PJ_VERSION: 493]\n", "Path to PROJ shared files: (autodetected)\n", "Linking to sp version:1.4-5\n", "\n", "Loading required package: maps\n", "\n", "Warning message in fun(libname, pkgname):\n", "“rgeos: versions of GEOS runtime 3.6.2-CAPI-1.10.2\n", "and GEOS at installation 3.7.2dev-CAPI-1.11.2differ”\n", "rgeos version: 0.5-5, (SVN revision 640)\n", " GEOS runtime version: 3.6.2-CAPI-1.10.2 \n", " Linking to sp version: 1.4-5 \n", " Polygon checking: TRUE \n", "\n", "\n", "Loading required package: lattice\n", "\n", "Loading required package: latticeExtra\n", "\n", "Loading required package: RColorBrewer\n", "\n", "\n", "Attaching package: ‘ggplot2’\n", "\n", "\n", "The following object is masked from ‘package:latticeExtra’:\n", "\n", " layer\n", "\n", "\n", "Google's Terms of Service: https://cloud.google.com/maps-platform/terms/.\n", "\n", "Please cite ggmap if you use it! See citation(\"ggmap\") for details.\n", "\n" ] } ], "source": [ "# load dependencies\n", "## geospatial data handling\n", "library(rgdal)\n", "library(raster)\n", "library(sp)\n", "library(mapdata)\n", "library(rgeos)\n", "## general data handling\n", "library(XML)\n", "library(downloader)\n", "## plotting\n", "library(rasterVis)\n", "library(ggplot2)\n", "## for display reasons\n", "library(knitr)\n", "library(kableExtra)\n", "library(ggmap)\n", "library(ggrepel)\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "wPvL7oBHxQnO" }, "source": [ "# Setting the session parameters\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "ZqThTlIi41TO" }, "source": [ "Define the geographical extent for accessing data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 87 }, "colab_type": "code", "id": "aQGmwazob_BR", "outputId": "e6477673-83af-4b8a-eed1-63fb13f43f44" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1] \"West-Longitude: -2.02\"\n", "[1] \"South-Latitude: 43.18\"\n", "[1] \"East-Longitude: -1.17\"\n", "[1] \"North-Latitude: 44.09\"\n" ] } ], "source": [ "Sessionid <- 'mySession'\n", "source_provider <- \"EMODnet Physics\"\n", "source_provider_url <- \"https://www.emodnet.eu\"\n", "layer_title<-\"Platforms collecting SLEV\"\n", "layer <- \"EP_PLATFORMS_SLEV\"\n", "wfs_url <- \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?\"\n", "wms_url <- \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wms?\"\n", "wms_layer <- \"EP_PLATFORMS_SLEV\"\n", "geometry_name<-\"position\"\n", "map_label<-\"PlatformID\"\n", "epsg_code<-\"EPSG:4326\"\n", "\n", "\n", "minlon <- -2.02\n", "minlat <- 43.18\n", "maxlon <- -1.17\n", "maxlat <- 44.09\n", "\n", "xmin <- as.numeric(minlon)\n", "ymin <- as.numeric(minlat)\n", "xmax <- as.numeric(maxlon)\n", "ymax <- as.numeric(maxlat)\n", "\n", "print (paste(\"West-Longitude:\",round(xmin,2)))\n", "print (paste(\"South-Latitude:\",round(ymin,2)))\n", "print (paste(\"East-Longitude:\",round(xmax,2)))\n", "print (paste(\"North-Latitude:\",round(ymax,2)))" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "HutpfA5GLAJc" }, "source": [ "We make some maps to show the location of the MPA." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "colab_type": "code", "id": "WJgkMLLaLAJe", "outputId": "cdd0bed0-dbd9-411a-b17f-7efb5a35b5a7" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Source : http://tile.stamen.com/terrain/6/31/22.png\n", "\n", "Source : http://tile.stamen.com/terrain/6/31/23.png\n", "\n", "Regions defined for each Polygons\n", "\n" ] }, { "data": { "image/png": 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zcqfOymfMYUE3bPClX93ve+9yu/8iur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\nfh6v5o1VXS7RGO266Q3M15yeyzKsgd1TxISdYRiGsRcQEcbi0IU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OuwVpXF7Sdkm9TW5oyqNLMWOMkeP8QQynVklpGvWdEpKczaqurqvQ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+OEUsa5fRfE+w/8OAEAWQLwXkcPrzcIoaAFd01jjVmt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\nnXrXppYgHU9R3eiKHS3iv6Q9k8z1RDFmCMIcvA8R24U+0Y3RSws66OI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Biv9RfNoL4RM23MpX7hE/+f5d/vnlDeze5UW5rvM6T2YBKOJi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\n++kZUbUsgIw8jnM8Tzt0Th9mW49TG1aV7UdXtC4GNuP66n1UVmA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DrQkQXPnCLfBCQ6lfRsI3YwLrZLRhqCg4UKXYFGPXUZJa6DlznvM8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0Cex+nPEEds/xwVgLRUC6WIvr3wAAjJzI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hThcNH/FVxfSuTWWVUVKHaYRdQ6rOfZGwFz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\nsVwtctq/vj4/PT5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eZrlBlE46t5O+aRBRrkUaJkjlIA3JCWkbC+UicBiGx4RERs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\nSUVORK5CYII=", "text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "# Displaying the defined area on map\n", "sr=sp::SpatialPolygons(list(sp::Polygons(list(sp::Polygon(cbind(c(xmin, xmin, xmax, xmax),c(ymax, ymin, ymin, ymax)))),\"1\")))\n", "mpa=sp::SpatialPolygonsDataFrame(sr, data.frame(cbind(1:1), row.names=c(\"1\")))\n", "sp::proj4string(mpa)<-CRS(\"+proj=longlat +datum=WGS84\")\n", "\n", "\n", "zoom_value<-6 #zoom definition\n", "base<-get_map(location=c(xmin-1,ymin-1,xmax+1,ymax+1), zoom=zoom_value, maptype=\"terrain-background\", source = \"stamen\")\n", "terrain <- ggmap(base)\n", "\n", "map <- terrain + geom_polygon(data=mpa,aes(x=long,y=lat,group=group,fill=\"mpa\"),colour=\"green\",fill=\"blue\",alpha=.1) +\n", "ggtitle(\"\")+xlab(\"Longitude\")+ylab(\"Latitude\")\n", "plot(map)\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "O2Ai1RuE6zwu" }, "source": [ "# EMODnet physics WFS\n", "\n", "The WFS of the EMODnet Physics portal offers the possibility to identify the existing in-situ measurements for the region of interest (bbox).\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 55 }, "colab_type": "code", "id": "wTuPEAbW6y1-", "outputId": "299e065e-6ef7-4ed2-c698-d3ede102bc30" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_SLEV&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_WIND&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_WAVE&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_TEMP&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_HCXX&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_MO&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_FB&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n", "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&VERSION=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_GL&OUTPUTFORMAT=csv&bbox=43.18,-2.02,44.09,-1.17\"\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Regions defined for each Polygons\n", "\n" ] }, { "data": { "image/png": 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KFDAHD0KH75BR9/fN5asxk2GwoLcfw4hg8/t9xqxenTGDoUACwWrFnDzEcU7dgl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\nlclkxcXF+/fvVyqV8+fPb/3yY8eO9enTZ/z48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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "# function to download point data as csv from the EMODnet physics WFS\n", "getEMODnetPhysicsplatform<-function(name=\"EP_PLATFORMS_SLEV\",xmin,xmax,ymin,ymax){\n", " name<-as.character(name)\n", " bbox<-paste(xmin,xmax,ymin,ymax,sep=\",\")\n", " con<-paste0(wfs_url,\"service=WFS&VERSION=1.1.0&request=GetFeature&typeName=\",name,\"&OUTPUTFORMAT=csv&bbox=\",bbox)\n", " utils::download.file(con,\"dat.csv\", quiet = TRUE, mode = \"wb\")\n", " pipo<-utils::read.csv(\"dat.csv\")\n", " if(ncol(pipo)<=1){\n", " return(data.frame())\n", " }\n", " else{\n", " xy<-strsplit(gsub(\"\\\\)\",\"\",gsub(\"POINT \\\\(\",\"\",pipo$position)),split=\" \")\n", " fun1<-function(a){as.numeric(a[1])}\n", " fun2<-function(a){as.numeric(a[2])}\n", " pipo$y<-sapply(xy,fun1)\n", " pipo$x<-sapply(xy,fun2)\n", " print(con)\n", " return(pipo)\n", " }\n", " \n", "}\n", "\n", "# define a function to combine different data layers in a dataframe\n", "getEMODnetPhysicsplatformall<-function (xmin, xmax, ymin, ymax){\n", " physics <- data.frame()\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_SLEV\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_SLEV\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_WIND\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_WIND\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_WAVE\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_WAVE\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_TEMP\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_TEMP\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_HCXX\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_HCXX\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_MO\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_MO\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_FB\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_FB\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " rez0 <- getEMODnetPhysicsplatform(\"EP_PLATFORMS_GL\", ymin, xmin, ymax, xmax)\n", " if (nrow(rez0) > 0){\n", " physics1 <- data.frame(type = \"EP_PLATFORMS_GL\", status = rez0$ProjectsDescr,\n", " purpose = rez0$ParametersGroupDescr, info = rez0$DataOwner, name = rez0$PlatformID, PltLink = rez0$PlatformInfoLink,\n", " country = rez0$Country, x = rez0$x, y = rez0$y)\n", " physics <- rbind(physics, physics1)\n", " rm(rez0)\n", " }\n", " \n", " return(physics)\n", "}\n", "\n", "# get the data for the defined area\n", "physics<-getEMODnetPhysicsplatformall(xmin,xmax,ymin,ymax)\n", "\n", "\n", "# PLOT MAP WITH Platforms\n", "map<-ggplot() +\n", " theme_bw() +\n", " borders(\"worldHires\",xlim=c(xmin,xmax),ylim=c(ymin,ymax),fill=\"light grey\",colour=\"light grey\")+ \n", " geom_point(data= physics,aes(x=x,y=y,shape=type,group=type),colour=\"red\", alpha=1, size=4) +\n", " geom_polygon(data=mpa,aes(x=long,y=lat,group=group,fill=\"mpa\"),colour=\"green\",fill=\"blue\",alpha=.1) +\n", " coord_quickmap(xlim=range(xmin,xmax),ylim=range(ymin,ymax)) +\n", " ggtitle(\"EMODnet Physics Platforms\")+xlab(\"Longitude\")+ylab(\"Latitude\")\n", "plot(map)\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "SlAuAgI67OHt" }, "source": [ "\n", "# Get layer names from WFS getcapabilities" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 877 }, "colab_type": "code", "id": "pqa8LE5D7M92", "outputId": "e8b3008a-e240-436a-b930-4208df82eca6" }, "outputs": [ { "data": { "text/html": [ "\n", "
  1. 'FID'
  2. 'fid'
  3. 'position'
  4. 'PlatformID'
  5. 'MapPlatformID'
  6. 'ProjectsDescr'
  7. 'PlatformCode'
  8. 'WMOCode'
  9. 'SeaRegionCode'
  10. 'SeaRegionDescr'
  11. 'ParametersGroupCode'
  12. 'ParametersGroupDescr'
  13. 'ParametersCodeDescr'
  14. 'DataTypeDescr'
  15. 'LastDataMeasured'
  16. 'Country'
  17. 'DataOwner'
  18. 'DataProvider'
  19. 'LogoURL'
  20. 'PlatformTypeCode'
  21. 'PlatformInfoLink'
  22. 'ColorFeatures'
  23. 'ProjectsCode'
\n" ], "text/latex": [ "\\begin{enumerate*}\n", "\\item 'FID'\n", "\\item 'fid'\n", "\\item 'position'\n", "\\item 'PlatformID'\n", "\\item 'MapPlatformID'\n", "\\item 'ProjectsDescr'\n", "\\item 'PlatformCode'\n", "\\item 'WMOCode'\n", "\\item 'SeaRegionCode'\n", "\\item 'SeaRegionDescr'\n", "\\item 'ParametersGroupCode'\n", "\\item 'ParametersGroupDescr'\n", "\\item 'ParametersCodeDescr'\n", "\\item 'DataTypeDescr'\n", "\\item 'LastDataMeasured'\n", "\\item 'Country'\n", "\\item 'DataOwner'\n", "\\item 'DataProvider'\n", "\\item 'LogoURL'\n", "\\item 'PlatformTypeCode'\n", "\\item 'PlatformInfoLink'\n", "\\item 'ColorFeatures'\n", "\\item 'ProjectsCode'\n", "\\end{enumerate*}\n" ], "text/markdown": [ "1. 'FID'\n", "2. 'fid'\n", "3. 'position'\n", "4. 'PlatformID'\n", "5. 'MapPlatformID'\n", "6. 'ProjectsDescr'\n", "7. 'PlatformCode'\n", "8. 'WMOCode'\n", "9. 'SeaRegionCode'\n", "10. 'SeaRegionDescr'\n", "11. 'ParametersGroupCode'\n", "12. 'ParametersGroupDescr'\n", "13. 'ParametersCodeDescr'\n", "14. 'DataTypeDescr'\n", "15. 'LastDataMeasured'\n", "16. 'Country'\n", "17. 'DataOwner'\n", "18. 'DataProvider'\n", "19. 'LogoURL'\n", "20. 'PlatformTypeCode'\n", "21. 'PlatformInfoLink'\n", "22. 'ColorFeatures'\n", "23. 'ProjectsCode'\n", "\n", "\n" ], "text/plain": [ " [1] \"FID\" \"fid\" \"position\" \n", " [4] \"PlatformID\" \"MapPlatformID\" \"ProjectsDescr\" \n", " [7] \"PlatformCode\" \"WMOCode\" \"SeaRegionCode\" \n", "[10] \"SeaRegionDescr\" \"ParametersGroupCode\" \"ParametersGroupDescr\"\n", "[13] \"ParametersCodeDescr\" \"DataTypeDescr\" \"LastDataMeasured\" \n", "[16] \"Country\" \"DataOwner\" \"DataProvider\" \n", "[19] \"LogoURL\" \"PlatformTypeCode\" \"PlatformInfoLink\" \n", "[22] \"ColorFeatures\" \"ProjectsCode\" " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Getcapabilities<-function(){\n", " con<-paste0(wfs_url,\"service=WFS&version=1.1.0&request=Getcapabilities\")\n", " pipo <- xmlParse(file = con)\n", " return(pipo)\n", "}\n", "WFS_GetCapa <- Getcapabilities()\n", "\n", "rootnode <- xmlRoot(WFS_GetCapa)\n", "\n", "rootsize <- xmlSize(rootnode)\n", "numberOfLayers <- xmlSize(rootnode[[4]])\n", "\n", "EMODnetPhysics<-data.frame()\n", "\n", "for (i in 1:xmlSize(rootnode[[4]]))\n", "{\n", "Layer_i <- c(rootnode[[4]][[i]][[1]],rootnode[[4]][[i]][[2]])\n", "EMODnetPhysics <- append(EMODnetPhysics, Layer_i)\n", "}\n", "\n", "EMODnetPhysics\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "hUBN6t0j-jKr" }, "source": [ "# Get colnames from WFS" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 895 }, "colab_type": "code", "id": "9bQ1RGU9-kp3", "outputId": "e0ebcfe2-346e-41bf-fcfd-7f2d89fc9c24" }, "outputs": [ { "data": { "text/html": [ "\n", "
  1. 'FID'
  2. 'fid'
  3. 'position'
  4. 'PlatformID'
  5. 'MapPlatformID'
  6. 'ProjectsDescr'
  7. 'PlatformCode'
  8. 'WMOCode'
  9. 'SeaRegionCode'
  10. 'SeaRegionDescr'
  11. 'ParametersGroupCode'
  12. 'ParametersGroupDescr'
  13. 'ParametersCodeDescr'
  14. 'DataTypeDescr'
  15. 'LastDataMeasured'
  16. 'Country'
  17. 'DataOwner'
  18. 'DataProvider'
  19. 'LogoURL'
  20. 'PlatformTypeCode'
  21. 'PlatformInfoLink'
  22. 'ColorFeatures'
  23. 'ProjectsCode'
\n" ], "text/latex": [ "\\begin{enumerate*}\n", "\\item 'FID'\n", "\\item 'fid'\n", "\\item 'position'\n", "\\item 'PlatformID'\n", "\\item 'MapPlatformID'\n", "\\item 'ProjectsDescr'\n", "\\item 'PlatformCode'\n", "\\item 'WMOCode'\n", "\\item 'SeaRegionCode'\n", "\\item 'SeaRegionDescr'\n", "\\item 'ParametersGroupCode'\n", "\\item 'ParametersGroupDescr'\n", "\\item 'ParametersCodeDescr'\n", "\\item 'DataTypeDescr'\n", "\\item 'LastDataMeasured'\n", "\\item 'Country'\n", "\\item 'DataOwner'\n", "\\item 'DataProvider'\n", "\\item 'LogoURL'\n", "\\item 'PlatformTypeCode'\n", "\\item 'PlatformInfoLink'\n", "\\item 'ColorFeatures'\n", "\\item 'ProjectsCode'\n", "\\end{enumerate*}\n" ], "text/markdown": [ "1. 'FID'\n", "2. 'fid'\n", "3. 'position'\n", "4. 'PlatformID'\n", "5. 'MapPlatformID'\n", "6. 'ProjectsDescr'\n", "7. 'PlatformCode'\n", "8. 'WMOCode'\n", "9. 'SeaRegionCode'\n", "10. 'SeaRegionDescr'\n", "11. 'ParametersGroupCode'\n", "12. 'ParametersGroupDescr'\n", "13. 'ParametersCodeDescr'\n", "14. 'DataTypeDescr'\n", "15. 'LastDataMeasured'\n", "16. 'Country'\n", "17. 'DataOwner'\n", "18. 'DataProvider'\n", "19. 'LogoURL'\n", "20. 'PlatformTypeCode'\n", "21. 'PlatformInfoLink'\n", "22. 'ColorFeatures'\n", "23. 'ProjectsCode'\n", "\n", "\n" ], "text/plain": [ " [1] \"FID\" \"fid\" \"position\" \n", " [4] \"PlatformID\" \"MapPlatformID\" \"ProjectsDescr\" \n", " [7] \"PlatformCode\" \"WMOCode\" \"SeaRegionCode\" \n", "[10] \"SeaRegionDescr\" \"ParametersGroupCode\" \"ParametersGroupDescr\"\n", "[13] \"ParametersCodeDescr\" \"DataTypeDescr\" \"LastDataMeasured\" \n", "[16] \"Country\" \"DataOwner\" \"DataProvider\" \n", "[19] \"LogoURL\" \"PlatformTypeCode\" \"PlatformInfoLink\" \n", "[22] \"ColorFeatures\" \"ProjectsCode\" " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "DescribeFeatureType<-function(layer){\n", "layer<-as.character(layer)\n", "con<-paste0(wfs_url,\"service=WFS&version=1.1.0&request=GetFeature&featureID=\",geometry_name,\"&typeName=\",layer,\"&OUTPUTFORMAT=csv\")\n", "pipo<-utils::read.csv(url(con), header= TRUE, encoding = 'UTF-8')\n", "return(pipo)\n", "}\n", "WFS_Colnames <- DescribeFeatureType(layer)\n", "colnames( WFS_Colnames )\n", "\n", "rez_nblist<- c(1:dim(WFS_Colnames)[2])" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "XWh23TI6C-Vm" }, "source": [ "# GET DATA as CSV" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "colab_type": "code", "id": "X1mmg3FnDB8Z", "outputId": "2d7b2996-36af-4a08-e8ac-cffd8d97d294" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&version=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_SLEV&bbox=-2.02,-1.17,43.18,44.09,EPSG:4326&outputFormat=csv\"\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\n", "\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\n", "
A data.frame: 810 × 23
FIDfidpositionPlatformIDMapPlatformIDProjectsDescrPlatformCodeWMOCodeSeaRegionCodeSeaRegionDescrDataTypeDescrLastDataMeasuredCountryDataOwnerDataProviderLogoURLPlatformTypeCodePlatformInfoLinkColorFeaturesProjectsCode
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EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-162 28523POINT (42.1189 15.5016)639609670616CMEMS INSTAC,Fixed Moorings RMN-IsoleTremiti Mediterranean SeaAdriatic Sea NRT,NRT M,REP 2020/09/27 23:53:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=639609#FF00FFINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-161 28533POINT (41.1798 29.6039)639610670621CMEMS INSTAC,Fixed Moorings Sile Black Sea Black Sea NRT,NRT M 2021/02/11 09:21:00Turkey GCM - The Ministry of National Defense, General Command of Mapping - Turkey General Command of Mapping (Turkey) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=639610#DC323BINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-160 28543POINT (41.0019 39.7445)639611670622CMEMS INSTAC,Fixed Moorings Trabzon Black Sea Black Sea NRT,NRT M,REP 2021/02/11 09:20:30Turkey GCM - The Ministry of National Defense, General Command of Mapping - Turkey General Command of Mapping (Turkey) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=639611#DC323BINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15f 63293POINT (43.3189 4.8662) 7274 7274JericoNEXT,CMEMS INSTAC,Fixed Moorings61284 61284Mediterranean SeaMediterranean Sea - Western BasinNRT,NRT M,REP 2019/10/15 16:33:12France IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - France IFREMER Institut Francais de Recherche pour l'Exploitation de la Merhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ifremer.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=7274 #DC323BJRC,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15e 70788POINT (39.893 4.27056) 8739 8739CMEMS INSTAC MahonTG Mediterranean SeaMediterranean Sea - Western BasinNRT,NRT M,REP 2021/02/11 14:04:00Spain PdE - Puertos del Estado - Spain Puertos del Estado (Spain) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.pngTGhttp://www.emodnet-physics.eu/map/spi.aspx?id=8739 #FF00FFINSTAC
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15d 77760POINT (42.958 27.899) 8888 8888JericoNEXT,CMEMS INSTAC,Fixed MooringsShkorpilovtsi Black Sea Black Sea NRT,NRT M,REP 2018/12/19 09:20:00Bulgaria IOBAS - Institude of Oceanology - Bulgarian Academy of Science - Bulgaria Institute of Oceanology Bulgarian Academy of Sciences (IO-BAS) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/IOBAS.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=8888 #DC323BJRC,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15c 87434POINT (40.026 15.266) 10752248923SeaDataNet,Fixed Moorings RMN-PALINURO PALI0 Mediterranean SeaTyrrhenian Sea VAL 2004/12/31 00:00:00Italy APAT - Agency for Environmental Protection and Technical Services - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10752 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15b 87444POINT (40.846 8.406) 10753 12234SeaDataNet,Fixed Moorings RMN-PORTOTORRES PTOR0 Mediterranean SeaMediterranean Sea - Western BasinVAL 2004/12/31 00:00:00Italy APAT - Agency for Environmental Protection and Technical Services - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10753 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15a 94662POINT (42.48 27.48) 10802250448SeaDataNet,CMEMS INSTAC,Fixed MooringsBurgas Black Sea Black Sea NRT,NRT M,REP,VAL2018/08/13 07:29:00Bulgaria IOBAS - Institude of Oceanology - Bulgarian Academy of Science - Bulgaria Institute of Oceanology Bulgarian Academy of Sciences (IO-BAS) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/IOBAS.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10802 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-159 94674POINT (39.5233 15.9267) 10803 329SeaDataNet,Fixed Moorings CETRARO CETR0 Mediterranean SeaTyrrhenian Sea VAL 2006/10/29 00:00:00 -- -- MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10803 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-158 94748POINT (38.2367 15.6472) 10952 239SeaDataNet,Fixed Moorings ULIXEE Mediterranean SeaIonian Sea VAL 1980/03/25 12:30:00Italy OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - Divisione di Oceanografia - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/OGS.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10952 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-157 86993POINT (41.874 19.376) 10759 10485SeaDataNet,Fixed Moorings Buna rivermouth Pulaj Station Mediterranean SeaAdriatic Sea VAL 1990/12/31 00:00:00Albania UPT - Institute of GeoSciences, Energy, Water and Environment, Polytechnic University of Tirana - Albania http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/upt.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=10759 #FF00FFSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-156 87019POINT (37.0333 27.4167) 10761 10487SeaDataNet,Fixed Moorings Coastal location - Bodrum Mediterranean SeaAegean Sea VAL 1986/12/31 21:00:00United KingdomIOSBL - Institute of Oceanographic Sciences - Bidston Laboratory - United Kingdom http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=10761 #FF00FFSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-155 94431POINT (39.08 17.138) 10971248927SeaDataNet,Fixed Moorings RMN-CROTONE CROT0 Mediterranean SeaIonian Sea VAL 2004/12/31 00:00:00Italy APAT - Agency for Environmental Protection and Technical Services - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10971 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-154 94480POINT (38.2478 15.6115) 10976 244SeaDataNet,Fixed Moorings ULIXED Mediterranean SeaIonian Sea VAL 1980/07/02 11:46:00Italy OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - Divisione di Oceanografia - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/OGS.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10976 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-153100556POINT (40.026 15.266) 11905248923SeaDataNet,CMEMS INSTAC,Fixed MooringsRMN-PALINURO Mediterranean SeaTyrrhenian Sea NRT,NRT M,REP,VAL2004/12/31 23:50:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11905 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-152100565POINT (43.624 13.506) 11906248928SeaDataNet,CMEMS INSTAC,Fixed MooringsRMN-ANCONA Mediterranean SeaAdriatic Sea NRT,NRT M,REP,VAL2004/12/31 23:50:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11906 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-151100575POINT (39.164 8.287) 11907248901SeaDataNet,CMEMS INSTAC,Fixed MooringsRMN-CARLOFORTE Mediterranean SeaMediterranean Sea - Western BasinNRT,NRT M,REP,VAL2004/12/31 23:50:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11907 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-150100591POINT (40.475 17.223) 11909248908SeaDataNet,CMEMS INSTAC,Fixed MooringsRMN-TARANTO Mediterranean SeaIonian Sea NRT,NRT M,REP,VAL2004/12/31 23:50:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11909 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14f100618POINT (42.46 14.23) 11912 12232SeaDataNet,Fixed Moorings RMN-PESCARA Mediterranean SeaAdriatic Sea VAL 2001/03/27 15:45:00Italy APAT - Agency for Environmental Protection and Technical Services - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11912 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14e100627POINT (41.882 16.185) 11913248905SeaDataNet,CMEMS INSTAC,Fixed MooringsRMN-VIESTE Mediterranean SeaAdriatic Sea NRT,NRT M,REP,VAL2004/12/31 23:50:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11913 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14d100637POINT (40.846 8.406) 11914 12234SeaDataNet,CMEMS INSTAC,Fixed MooringsRMN-PORTOTORRES Mediterranean SeaMediterranean Sea - Western BasinNRT,NRT M,REP,VAL2004/12/31 23:50:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientalehttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11914 #DC323BSDN,INSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14c 67230POINT (39.8347 3.13917) 8399 8399CMEMS INSTAC AlcudiaTG Mediterranean SeaBalearic Sea NRT,NRT M,REP 2021/02/11 14:04:00Spain PdE - Puertos del Estado - Spain Puertos del Estado (Spain) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.pngTGhttp://www.emodnet-physics.eu/map/spi.aspx?id=8399 #FF00FFINSTAC
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14b 74864POINT (41.342 2.163) 8443 8443CMEMS INSTAC BarcelonaTG Mediterranean SeaBalearic Sea NRT,NRT M,REP 2021/02/11 00:59:00Spain PdE - Puertos del Estado - Spain Puertos del Estado (Spain) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.pngTGhttp://www.emodnet-physics.eu/map/spi.aspx?id=8443 #FF00FFINSTAC
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14a 92782POINT (38.403 15.794) 10875 147SeaDataNet,Fixed Moorings RMN-MESSINA MESS0 Mediterranean SeaTyrrhenian Sea VAL 2004/12/31 00:00:00Italy APAT - Agency for Environmental Protection and Technical Services - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=10875 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-149 92815POINT (38.2092 15.5677) 11018 187SeaDataNet,Fixed Moorings MULIS-C1D Mediterranean SeaIonian Sea VAL 1992/06/09 12:16:00Italy SAIPEM - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/sdnsaipem.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11018 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-148 92874POINT (38.125 15.65) 11024 133SeaDataNet,Fixed Moorings REGGIO CALABRIA REG10 Mediterranean SeaIonian Sea VAL 1992/05/01 00:00:00Italy SAIPEM - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/sdnsaipem.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11024 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-147 92885POINT (40.475 17.223) 11025248908SeaDataNet,Fixed Moorings RMN-TARANTO TARA0 Mediterranean SeaIonian Sea VAL 2004/12/31 00:00:00Italy APAT - Agency for Environmental Protection and Technical Services - Italy http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png MOhttp://www.emodnet-physics.eu/map/spi.aspx?id=11025 #DC323BSDN,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-146100299POINT (43.5833 13.4833) 12075 12394PSMSL PSMSL_ANCONA_101 Mediterranean SeaAdriatic Sea NRT,NRT M,REP 2015/08/05 12:49:42Other Not Defined INSTITUTO TALASSOGRAFICO DI TRIESTE http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=12075 #FF00FFPSMSL
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-145100311POINT (37.5 15.1333) 12076 12395PSMSL PSMSL_CATANIA_102 Mediterranean SeaIonian Sea NRT,NRT M,REP 2015/08/05 12:49:42Other Not Defined INSTITUTO TALASSOGRAFICO DI TRIESTE http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=12076 #FF00FFPSMSL
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1aa586970POINT (41.668 2.908) 927519 259582CMEMS INSTAC,VOS/SOOP OOCS_20171205103000 NRT 2017/12/05 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927519 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ab586979POINT (41.668 2.908) 927520 259582CMEMS INSTAC,VOS/SOOP OOCS_20180112103000 NRT 2018/01/12 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927520 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ac586992POINT (41.668 2.908) 927521 259582CMEMS INSTAC,VOS/SOOP OOCS_20180215103000 NRT 2018/02/15 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927521 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ad586999POINT (41.668 2.908) 927522 259582CMEMS INSTAC,VOS/SOOP OOCS_20180313103000 NRT 2018/03/13 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927522 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ae660680POINT (40.4756 17.2238) 608052 12396IOC IOC_TA18 Mediterranean Sea Ionian Sea NRT 2021/02/11 15:44:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - ItalyIstituto Superiore per la Protezione e la Ricerca Ambientale ( Italy ) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=608052 #FF00FFIOC
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1af660858POINT (41.4469 12.6348) 607890 638156CMEMS INSTAC,Fixed Moorings RMN-Anzio Mediterranean Sea Tyrrhenian Sea NRT,NRT M,REP2020/10/06 08:01:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - ItalyISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=607890 #FF00FFINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b0554755POINT (43.5273 -1.5154) 370010 393920CMEMS INSTAC,AtlantOS,Fixed MooringsBayonneBoucauTG-60min Atlantic, Bay of Biscay, Celtic Sea, AtlantOSBay of Biscay,AtlantOS NRT M 2018/01/01 00:00:00FranceShom - France http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=370010 #FF00FFINSTAC,ATLANTOS,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b1554847POINT (42.9658 9.34983) 370020 393930CMEMS INSTAC,Fixed Moorings CenturiTG-10min Mediterranean Sea Mediterranean Sea - Western BasinNRT M 2018/07/01 00:00:00FranceShom - France http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=370020 #FF00FFINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b2554850POINT (42.9658 9.34983) 370021 393931CMEMS INSTAC,Fixed Moorings CenturiTG-60min Mediterranean Sea Mediterranean Sea - Western BasinNRT M 2018/01/01 00:00:00FranceShom - France http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=370021 #FF00FFINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b3554872POINT (43.733 7.4237) 370081 393991CMEMS INSTAC,Fixed Moorings MonacoTG-60min Mediterranean Sea Mediterranean Sea - Western BasinNRT M 2018/01/01 00:00:00FranceShom - France http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=370081 #FF00FFINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b4584905POINT (38.7995 1.1213) 927443 259598CMEMS INSTAC,VOS/SOOP EABV_20140217134404 EABV NRT 2014/02/17 13:44:04Spain SOCIB - Balearic Islands Coastal Observing and Forecasting System SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927443 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b5584915POINT (37.146 -0.80412) 927444 259646CMEMS INSTAC,VOS/SOOP EABV_20140507065935 EABV NRT 2014/05/07 06:59:35Spain SOCIB - Balearic Islands Coastal Observing and Forecasting System SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927444 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b6584925POINT (38.8045 0.85997) 927445 259718CMEMS INSTAC,VOS/SOOP EABV_20141125132933 EABV NRT 2014/11/25 13:29:33Spain SOCIB - Balearic Islands Coastal Observing and Forecasting System SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927445 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b7584938POINT (39.0003 0.99499) 927446 259764CMEMS INSTAC,VOS/SOOP EABV_20150423164011 EABV NRT 2015/04/23 16:40:11Spain SOCIB - Balearic Islands Coastal Observing and Forecasting System SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927446 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b8584948POINT (39.6046 2.34851) 927447 259787CMEMS INSTAC,VOS/SOOP EABV_20150506082252 EABV NRT 2015/05/06 08:22:52Spain SOCIB - Balearic Islands Coastal Observing and Forecasting System SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927447 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b9532045POINT (37.0311 27.4303) 10694661060045TAD - Tsunami Alert Device TAD_SEISMO-TR-000 Mediterranean Sea Aegean Sea -- 2021/02/11 17:00:08 -- -- JRC TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=1069466#FF00FFTAD
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ba532053POINT (37.0349 27.4247) 10694671060046TAD - Tsunami Alert Device TAD_SEISMO-TR-001 Mediterranean Sea Aegean Sea -- 2021/02/11 17:00:14 -- -- JRC TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=1069467#FF00FFTAD
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bb532062POINT (36.6207 29.0922) 10694681060047TAD - Tsunami Alert Device TAD_SENTEZ-01 Mediterranean Sea Mediterranean Sea - Eastern Basin -- 2019/10/17 16:46:55 -- -- SENTEZ TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=1069468#FF00FFTAD
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bc532071POINT (38.7984 15.1931) 10694691060048TAD - Tsunami Alert Device TAD_FI02 Mediterranean Sea Tyrrhenian Sea -- 2015/06/13 18:36:15 -- -- UNIFI TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=1069469#FF00FFTAD
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bd541662POINT (39.2101 9.1142) 366675 12397IOC IOC_CA02 Mediterranean Sea Tyrrhenian Sea NRT 2021/02/11 23:22:00Italy ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - ItalyIstituto Superiore per la Protezione e la Ricerca Ambientale ( Italy ) http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=366675 #FF00FFIOC
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1be555774POINT (42.6396 8.93524) 370719 394762CMEMS INSTAC,Fixed Moorings IleRousseTG-20min Mediterranean Sea Mediterranean Sea - Western BasinNRT,NRT M 2018/11/29 23:50:37FranceShom - France http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=370719 #FF00FFINSTAC,FIXEDMOORINGS
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bf685119POINT (43.2262 28.0136) 832898 867632CMEMS INSTAC SD1013418031 Black Sea Black Sea NRT,NRT M 2019/11/04 09:18:21Other Not Defined Unknown institution http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png TGhttp://www.emodnet-physics.eu/map/spi.aspx?id=832898 #FF00FFINSTAC
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c0584115POINT (41.668 2.908) 927473 259582CMEMS INSTAC,VOS/SOOP OOCS_20140211103000 NRT 2014/02/11 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927473 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c1584123POINT (41.668 2.908) 927474 259582CMEMS INSTAC,VOS/SOOP OOCS_20140311103000 NRT 2014/03/11 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927474 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c2584134POINT (41.668 2.908) 927475 259582CMEMS INSTAC,VOS/SOOP OOCS_20140407103000 NRT 2014/04/07 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927475 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c3584143POINT (41.668 2.908) 927476 259582CMEMS INSTAC,VOS/SOOP OOCS_20140502103000 NRT 2014/05/02 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927476 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c4583132POINT (41.668 2.908) 927500 259582CMEMS INSTAC,VOS/SOOP OOCS_20160505103000 NRT 2016/05/05 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927500 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c5583147POINT (41.668 2.908) 927501 259582CMEMS INSTAC,VOS/SOOP OOCS_20160608103000 NRT 2016/06/08 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927501 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c6583156POINT (41.668 2.908) 927502 259582CMEMS INSTAC,VOS/SOOP OOCS_20160707103000 NRT 2016/07/07 10:30:00Spain CEAB – Centre d'Estudis Avançats de Blanes - Spain CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Researchhttp://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png CThttp://www.emodnet-physics.eu/map/spi.aspx?id=927502 #808080INSTAC,VOSSOOP
EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c7681107POINT (43.2954 -1.72975)11557461147471AtlantOS,MERTEC EndarlatsaBidasoa NRT,NRT M,REP2021/02/10 00:00:00 -- Confederacion Hidrografica del Cantabrico, CHCantabrico http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/Logo_CHCantabrico.pngRFhttp://www.emodnet-physics.eu/map/spi.aspx?id=1155746#E70B0BATLANTOS,MOHID
\n" ], "text/latex": [ "A data.frame: 810 × 23\n", "\\begin{tabular}{lllllllllllllllllllll}\n", " FID & fid & position & PlatformID & MapPlatformID & ProjectsDescr & PlatformCode & WMOCode & SeaRegionCode & SeaRegionDescr & ⋯ & DataTypeDescr & LastDataMeasured & Country & DataOwner & DataProvider & LogoURL & PlatformTypeCode & PlatformInfoLink & ColorFeatures & ProjectsCode\\\\\n", " & & & & & & & & & & ⋯ & & & & & & & & & & \\\\\n", "\\hline\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-162 & 28523 & POINT (42.1189 15.5016) & 639609 & 670616 & CMEMS INSTAC,Fixed Moorings & RMN-IsoleTremiti & & Mediterranean Sea & Adriatic Sea & ⋯ & NRT,NRT M,REP & 2020/09/27 23:53:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=639609 & \\#FF00FF & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-161 & 28533 & POINT (41.1798 29.6039) & 639610 & 670621 & CMEMS INSTAC,Fixed Moorings & Sile & & Black Sea & Black Sea & ⋯ & NRT,NRT M & 2021/02/11 09:21:00 & Turkey & GCM - The Ministry of National Defense, General Command of Mapping - Turkey & General Command of Mapping (Turkey) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=639610 & \\#DC323B & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-160 & 28543 & POINT (41.0019 39.7445) & 639611 & 670622 & CMEMS INSTAC,Fixed Moorings & Trabzon & & Black Sea & Black Sea & ⋯ & NRT,NRT M,REP & 2021/02/11 09:20:30 & Turkey & GCM - The Ministry of National Defense, General Command of Mapping - Turkey & General Command of Mapping (Turkey) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=639611 & \\#DC323B & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-15f & 63293 & POINT (43.3189 4.8662) & 7274 & 7274 & JericoNEXT,CMEMS INSTAC,Fixed Moorings & 61284 & 61284 & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT,NRT M,REP & 2019/10/15 16:33:12 & France & IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - France & IFREMER Institut Francais de Recherche pour l'Exploitation de la Mer & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ifremer.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=7274 & \\#DC323B & JRC,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-15e & 70788 & POINT (39.893 4.27056) & 8739 & 8739 & CMEMS INSTAC & MahonTG & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT,NRT M,REP & 2021/02/11 14:04:00 & Spain & PdE - Puertos del Estado - Spain & Puertos del Estado (Spain) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=8739 & \\#FF00FF & INSTAC \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-15d & 77760 & POINT (42.958 27.899) & 8888 & 8888 & JericoNEXT,CMEMS INSTAC,Fixed Moorings & Shkorpilovtsi & & Black Sea & Black Sea & ⋯ & NRT,NRT M,REP & 2018/12/19 09:20:00 & Bulgaria & IOBAS - Institude of Oceanology - Bulgarian Academy of Science - Bulgaria & Institute of Oceanology Bulgarian Academy of Sciences (IO-BAS) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/IOBAS.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=8888 & \\#DC323B & JRC,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-15c & 87434 & POINT (40.026 15.266) & 10752 & 248923 & SeaDataNet,Fixed Moorings & RMN-PALINURO PALI0 & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & VAL & 2004/12/31 00:00:00 & Italy & APAT - Agency for Environmental Protection and Technical Services - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10752 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-15b & 87444 & POINT (40.846 8.406) & 10753 & 12234 & SeaDataNet,Fixed Moorings & RMN-PORTOTORRES PTOR0 & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & VAL & 2004/12/31 00:00:00 & Italy & APAT - Agency for Environmental Protection and Technical Services - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10753 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-15a & 94662 & POINT (42.48 27.48) & 10802 & 250448 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & Burgas & & Black Sea & Black Sea & ⋯ & NRT,NRT M,REP,VAL & 2018/08/13 07:29:00 & Bulgaria & IOBAS - Institude of Oceanology - Bulgarian Academy of Science - Bulgaria & Institute of Oceanology Bulgarian Academy of Sciences (IO-BAS) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/IOBAS.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10802 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-159 & 94674 & POINT (39.5233 15.9267) & 10803 & 329 & SeaDataNet,Fixed Moorings & CETRARO CETR0 & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & VAL & 2006/10/29 00:00:00 & -- & -- & & & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10803 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-158 & 94748 & POINT (38.2367 15.6472) & 10952 & 239 & SeaDataNet,Fixed Moorings & ULIXEE & & Mediterranean Sea & Ionian Sea & ⋯ & VAL & 1980/03/25 12:30:00 & Italy & OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - Divisione di Oceanografia - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/OGS.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10952 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-157 & 86993 & POINT (41.874 19.376) & 10759 & 10485 & SeaDataNet,Fixed Moorings & Buna rivermouth Pulaj Station & & Mediterranean Sea & Adriatic Sea & ⋯ & VAL & 1990/12/31 00:00:00 & Albania & UPT - Institute of GeoSciences, Energy, Water and Environment, Polytechnic University of Tirana - Albania & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/upt.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=10759 & \\#FF00FF & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-156 & 87019 & POINT (37.0333 27.4167) & 10761 & 10487 & SeaDataNet,Fixed Moorings & Coastal location - Bodrum & & Mediterranean Sea & Aegean Sea & ⋯ & VAL & 1986/12/31 21:00:00 & United Kingdom & IOSBL - Institute of Oceanographic Sciences - Bidston Laboratory - United Kingdom & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=10761 & \\#FF00FF & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-155 & 94431 & POINT (39.08 17.138) & 10971 & 248927 & SeaDataNet,Fixed Moorings & RMN-CROTONE CROT0 & & Mediterranean Sea & Ionian Sea & ⋯ & VAL & 2004/12/31 00:00:00 & Italy & APAT - Agency for Environmental Protection and Technical Services - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10971 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-154 & 94480 & POINT (38.2478 15.6115) & 10976 & 244 & SeaDataNet,Fixed Moorings & ULIXED & & Mediterranean Sea & Ionian Sea & ⋯ & VAL & 1980/07/02 11:46:00 & Italy & OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - Divisione di Oceanografia - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/OGS.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10976 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-153 & 100556 & POINT (40.026 15.266) & 11905 & 248923 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & RMN-PALINURO & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & NRT,NRT M,REP,VAL & 2004/12/31 23:50:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11905 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-152 & 100565 & POINT (43.624 13.506) & 11906 & 248928 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & RMN-ANCONA & & Mediterranean Sea & Adriatic Sea & ⋯ & NRT,NRT M,REP,VAL & 2004/12/31 23:50:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11906 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-151 & 100575 & POINT (39.164 8.287) & 11907 & 248901 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & RMN-CARLOFORTE & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT,NRT M,REP,VAL & 2004/12/31 23:50:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11907 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-150 & 100591 & POINT (40.475 17.223) & 11909 & 248908 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & RMN-TARANTO & & Mediterranean Sea & Ionian Sea & ⋯ & NRT,NRT M,REP,VAL & 2004/12/31 23:50:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11909 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-14f & 100618 & POINT (42.46 14.23) & 11912 & 12232 & SeaDataNet,Fixed Moorings & RMN-PESCARA & & Mediterranean Sea & Adriatic Sea & ⋯ & VAL & 2001/03/27 15:45:00 & Italy & APAT - Agency for Environmental Protection and Technical Services - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11912 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-14e & 100627 & POINT (41.882 16.185) & 11913 & 248905 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & RMN-VIESTE & & Mediterranean Sea & Adriatic Sea & ⋯ & NRT,NRT M,REP,VAL & 2004/12/31 23:50:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11913 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-14d & 100637 & POINT (40.846 8.406) & 11914 & 12234 & SeaDataNet,CMEMS INSTAC,Fixed Moorings & RMN-PORTOTORRES & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT,NRT M,REP,VAL & 2004/12/31 23:50:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11914 & \\#DC323B & SDN,INSTAC,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-14c & 67230 & POINT (39.8347 3.13917) & 8399 & 8399 & CMEMS INSTAC & AlcudiaTG & & Mediterranean Sea & Balearic Sea & ⋯ & NRT,NRT M,REP & 2021/02/11 14:04:00 & Spain & PdE - Puertos del Estado - Spain & Puertos del Estado (Spain) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=8399 & \\#FF00FF & INSTAC \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-14b & 74864 & POINT (41.342 2.163) & 8443 & 8443 & CMEMS INSTAC & BarcelonaTG & & Mediterranean Sea & Balearic Sea & ⋯ & NRT,NRT M,REP & 2021/02/11 00:59:00 & Spain & PdE - Puertos del Estado - Spain & Puertos del Estado (Spain) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=8443 & \\#FF00FF & INSTAC \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-14a & 92782 & POINT (38.403 15.794) & 10875 & 147 & SeaDataNet,Fixed Moorings & RMN-MESSINA MESS0 & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & VAL & 2004/12/31 00:00:00 & Italy & APAT - Agency for Environmental Protection and Technical Services - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=10875 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-149 & 92815 & POINT (38.2092 15.5677) & 11018 & 187 & SeaDataNet,Fixed Moorings & MULIS-C1D & & Mediterranean Sea & Ionian Sea & ⋯ & VAL & 1992/06/09 12:16:00 & Italy & SAIPEM - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/sdnsaipem.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11018 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-148 & 92874 & POINT (38.125 15.65) & 11024 & 133 & SeaDataNet,Fixed Moorings & REGGIO CALABRIA REG10 & & Mediterranean Sea & Ionian Sea & ⋯ & VAL & 1992/05/01 00:00:00 & Italy & SAIPEM - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/sdnsaipem.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11024 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-147 & 92885 & POINT (40.475 17.223) & 11025 & 248908 & SeaDataNet,Fixed Moorings & RMN-TARANTO TARA0 & & Mediterranean Sea & Ionian Sea & ⋯ & VAL & 2004/12/31 00:00:00 & Italy & APAT - Agency for Environmental Protection and Technical Services - Italy & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & MO & http://www.emodnet-physics.eu/map/spi.aspx?id=11025 & \\#DC323B & SDN,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-146 & 100299 & POINT (43.5833 13.4833) & 12075 & 12394 & PSMSL & PSMSL\\_ANCONA\\_101 & & Mediterranean Sea & Adriatic Sea & ⋯ & NRT,NRT M,REP & 2015/08/05 12:49:42 & Other & Not Defined & INSTITUTO TALASSOGRAFICO DI TRIESTE & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=12075 & \\#FF00FF & PSMSL \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_-145 & 100311 & POINT (37.5 15.1333) & 12076 & 12395 & PSMSL & PSMSL\\_CATANIA\\_102 & & Mediterranean Sea & Ionian Sea & ⋯ & NRT,NRT M,REP & 2015/08/05 12:49:42 & Other & Not Defined & INSTITUTO TALASSOGRAFICO DI TRIESTE & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=12076 & \\#FF00FF & PSMSL \\\\\n", "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋱ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1aa & 586970 & POINT (41.668 2.908) & 927519 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20171205103000 & & & & ⋯ & NRT & 2017/12/05 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927519 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1ab & 586979 & POINT (41.668 2.908) & 927520 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20180112103000 & & & & ⋯ & NRT & 2018/01/12 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927520 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1ac & 586992 & POINT (41.668 2.908) & 927521 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20180215103000 & & & & ⋯ & NRT & 2018/02/15 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927521 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1ad & 586999 & POINT (41.668 2.908) & 927522 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20180313103000 & & & & ⋯ & NRT & 2018/03/13 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927522 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1ae & 660680 & POINT (40.4756 17.2238) & 608052 & 12396 & IOC & IOC\\_TA18 & & Mediterranean Sea & Ionian Sea & ⋯ & NRT & 2021/02/11 15:44:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & Istituto Superiore per la Protezione e la Ricerca Ambientale ( Italy ) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=608052 & \\#FF00FF & IOC \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1af & 660858 & POINT (41.4469 12.6348) & 607890 & 638156 & CMEMS INSTAC,Fixed Moorings & RMN-Anzio & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & NRT,NRT M,REP & 2020/10/06 08:01:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=607890 & \\#FF00FF & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b0 & 554755 & POINT (43.5273 -1.5154) & 370010 & 393920 & CMEMS INSTAC,AtlantOS,Fixed Moorings & BayonneBoucauTG-60min & & Atlantic, Bay of Biscay, Celtic Sea, AtlantOS & Bay of Biscay,AtlantOS & ⋯ & NRT M & 2018/01/01 00:00:00 & France & Shom - France & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=370010 & \\#FF00FF & INSTAC,ATLANTOS,FIXEDMOORINGS\\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b1 & 554847 & POINT (42.9658 9.34983) & 370020 & 393930 & CMEMS INSTAC,Fixed Moorings & CenturiTG-10min & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT M & 2018/07/01 00:00:00 & France & Shom - France & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=370020 & \\#FF00FF & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b2 & 554850 & POINT (42.9658 9.34983) & 370021 & 393931 & CMEMS INSTAC,Fixed Moorings & CenturiTG-60min & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT M & 2018/01/01 00:00:00 & France & Shom - France & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=370021 & \\#FF00FF & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b3 & 554872 & POINT (43.733 7.4237) & 370081 & 393991 & CMEMS INSTAC,Fixed Moorings & MonacoTG-60min & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT M & 2018/01/01 00:00:00 & France & Shom - France & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=370081 & \\#FF00FF & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b4 & 584905 & POINT (38.7995 1.1213) & 927443 & 259598 & CMEMS INSTAC,VOS/SOOP & EABV\\_20140217134404 & EABV & & & ⋯ & NRT & 2014/02/17 13:44:04 & Spain & SOCIB - Balearic Islands Coastal Observing and Forecasting System & SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927443 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b5 & 584915 & POINT (37.146 -0.80412) & 927444 & 259646 & CMEMS INSTAC,VOS/SOOP & EABV\\_20140507065935 & EABV & & & ⋯ & NRT & 2014/05/07 06:59:35 & Spain & SOCIB - Balearic Islands Coastal Observing and Forecasting System & SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927444 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b6 & 584925 & POINT (38.8045 0.85997) & 927445 & 259718 & CMEMS INSTAC,VOS/SOOP & EABV\\_20141125132933 & EABV & & & ⋯ & NRT & 2014/11/25 13:29:33 & Spain & SOCIB - Balearic Islands Coastal Observing and Forecasting System & SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927445 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b7 & 584938 & POINT (39.0003 0.99499) & 927446 & 259764 & CMEMS INSTAC,VOS/SOOP & EABV\\_20150423164011 & EABV & & & ⋯ & NRT & 2015/04/23 16:40:11 & Spain & SOCIB - Balearic Islands Coastal Observing and Forecasting System & SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927446 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b8 & 584948 & POINT (39.6046 2.34851) & 927447 & 259787 & CMEMS INSTAC,VOS/SOOP & EABV\\_20150506082252 & EABV & & & ⋯ & NRT & 2015/05/06 08:22:52 & Spain & SOCIB - Balearic Islands Coastal Observing and Forecasting System & SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927447 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1b9 & 532045 & POINT (37.0311 27.4303) & 1069466 & 1060045 & TAD - Tsunami Alert Device & TAD\\_SEISMO-TR-000 & & Mediterranean Sea & Aegean Sea & ⋯ & -- & 2021/02/11 17:00:08 & -- & -- & JRC & & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=1069466 & \\#FF00FF & TAD \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1ba & 532053 & POINT (37.0349 27.4247) & 1069467 & 1060046 & TAD - Tsunami Alert Device & TAD\\_SEISMO-TR-001 & & Mediterranean Sea & Aegean Sea & ⋯ & -- & 2021/02/11 17:00:14 & -- & -- & JRC & & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=1069467 & \\#FF00FF & TAD \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1bb & 532062 & POINT (36.6207 29.0922) & 1069468 & 1060047 & TAD - Tsunami Alert Device & TAD\\_SENTEZ-01 & & Mediterranean Sea & Mediterranean Sea - Eastern Basin & ⋯ & -- & 2019/10/17 16:46:55 & -- & -- & SENTEZ & & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=1069468 & \\#FF00FF & TAD \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1bc & 532071 & POINT (38.7984 15.1931) & 1069469 & 1060048 & TAD - Tsunami Alert Device & TAD\\_FI02 & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & -- & 2015/06/13 18:36:15 & -- & -- & UNIFI & & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=1069469 & \\#FF00FF & TAD \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1bd & 541662 & POINT (39.2101 9.1142) & 366675 & 12397 & IOC & IOC\\_CA02 & & Mediterranean Sea & Tyrrhenian Sea & ⋯ & NRT & 2021/02/11 23:22:00 & Italy & ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy & Istituto Superiore per la Protezione e la Ricerca Ambientale ( Italy ) & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=366675 & \\#FF00FF & IOC \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1be & 555774 & POINT (42.6396 8.93524) & 370719 & 394762 & CMEMS INSTAC,Fixed Moorings & IleRousseTG-20min & & Mediterranean Sea & Mediterranean Sea - Western Basin & ⋯ & NRT,NRT M & 2018/11/29 23:50:37 & France & Shom - France & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=370719 & \\#FF00FF & INSTAC,FIXEDMOORINGS \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1bf & 685119 & POINT (43.2262 28.0136) & 832898 & 867632 & CMEMS INSTAC & SD1013418031 & & Black Sea & Black Sea & ⋯ & NRT,NRT M & 2019/11/04 09:18:21 & Other & Not Defined & Unknown institution & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png & TG & http://www.emodnet-physics.eu/map/spi.aspx?id=832898 & \\#FF00FF & INSTAC \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c0 & 584115 & POINT (41.668 2.908) & 927473 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20140211103000 & & & & ⋯ & NRT & 2014/02/11 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927473 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c1 & 584123 & POINT (41.668 2.908) & 927474 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20140311103000 & & & & ⋯ & NRT & 2014/03/11 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927474 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c2 & 584134 & POINT (41.668 2.908) & 927475 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20140407103000 & & & & ⋯ & NRT & 2014/04/07 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927475 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c3 & 584143 & POINT (41.668 2.908) & 927476 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20140502103000 & & & & ⋯ & NRT & 2014/05/02 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927476 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c4 & 583132 & POINT (41.668 2.908) & 927500 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20160505103000 & & & & ⋯ & NRT & 2016/05/05 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927500 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c5 & 583147 & POINT (41.668 2.908) & 927501 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20160608103000 & & & & ⋯ & NRT & 2016/06/08 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927501 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c6 & 583156 & POINT (41.668 2.908) & 927502 & 259582 & CMEMS INSTAC,VOS/SOOP & OOCS\\_20160707103000 & & & & ⋯ & NRT & 2016/07/07 10:30:00 & Spain & CEAB – Centre d'Estudis Avançats de Blanes - Spain & CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png & CT & http://www.emodnet-physics.eu/map/spi.aspx?id=927502 & \\#808080 & INSTAC,VOSSOOP \\\\\n", "\t EP\\_PLATFORMS\\_SLEV.fid--1a753987\\_17796917fdf\\_1c7 & 681107 & POINT (43.2954 -1.72975) & 1155746 & 1147471 & AtlantOS,MERTEC & EndarlatsaBidasoa & & & & ⋯ & NRT,NRT M,REP & 2021/02/10 00:00:00 & -- & Confederacion Hidrografica del Cantabrico, CHCantabrico & & http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/Logo\\_CHCantabrico.png & RF & http://www.emodnet-physics.eu/map/spi.aspx?id=1155746 & \\#E70B0B & ATLANTOS,MOHID \\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 810 × 23\n", "\n", "| FID <fct> | fid <int> | position <fct> | PlatformID <int> | MapPlatformID <int> | ProjectsDescr <fct> | PlatformCode <fct> | WMOCode <fct> | SeaRegionCode <fct> | SeaRegionDescr <fct> | ⋯ ⋯ | DataTypeDescr <fct> | LastDataMeasured <fct> | Country <fct> | DataOwner <fct> | DataProvider <fct> | LogoURL <fct> | PlatformTypeCode <fct> | PlatformInfoLink <fct> | ColorFeatures <fct> | ProjectsCode <fct> |\n", "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-162 | 28523 | POINT (42.1189 15.5016) | 639609 | 670616 | CMEMS INSTAC,Fixed Moorings | RMN-IsoleTremiti | | Mediterranean Sea | Adriatic Sea | ⋯ | NRT,NRT M,REP | 2020/09/27 23:53:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=639609 | #FF00FF | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-161 | 28533 | POINT (41.1798 29.6039) | 639610 | 670621 | CMEMS INSTAC,Fixed Moorings | Sile | | Black Sea | Black Sea | ⋯ | NRT,NRT M | 2021/02/11 09:21:00 | Turkey | GCM - The Ministry of National Defense, General Command of Mapping - Turkey | General Command of Mapping (Turkey) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=639610 | #DC323B | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-160 | 28543 | POINT (41.0019 39.7445) | 639611 | 670622 | CMEMS INSTAC,Fixed Moorings | Trabzon | | Black Sea | Black Sea | ⋯ | NRT,NRT M,REP | 2021/02/11 09:20:30 | Turkey | GCM - The Ministry of National Defense, General Command of Mapping - Turkey | General Command of Mapping (Turkey) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=639611 | #DC323B | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15f | 63293 | POINT (43.3189 4.8662) | 7274 | 7274 | JericoNEXT,CMEMS INSTAC,Fixed Moorings | 61284 | 61284 | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT,NRT M,REP | 2019/10/15 16:33:12 | France | IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - France | IFREMER Institut Francais de Recherche pour l'Exploitation de la Mer | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ifremer.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=7274 | #DC323B | JRC,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15e | 70788 | POINT (39.893 4.27056) | 8739 | 8739 | CMEMS INSTAC | MahonTG | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT,NRT M,REP | 2021/02/11 14:04:00 | Spain | PdE - Puertos del Estado - Spain | Puertos del Estado (Spain) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=8739 | #FF00FF | INSTAC |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15d | 77760 | POINT (42.958 27.899) | 8888 | 8888 | JericoNEXT,CMEMS INSTAC,Fixed Moorings | Shkorpilovtsi | | Black Sea | Black Sea | ⋯ | NRT,NRT M,REP | 2018/12/19 09:20:00 | Bulgaria | IOBAS - Institude of Oceanology - Bulgarian Academy of Science - Bulgaria | Institute of Oceanology Bulgarian Academy of Sciences (IO-BAS) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/IOBAS.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=8888 | #DC323B | JRC,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15c | 87434 | POINT (40.026 15.266) | 10752 | 248923 | SeaDataNet,Fixed Moorings | RMN-PALINURO PALI0 | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | VAL | 2004/12/31 00:00:00 | Italy | APAT - Agency for Environmental Protection and Technical Services - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10752 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15b | 87444 | POINT (40.846 8.406) | 10753 | 12234 | SeaDataNet,Fixed Moorings | RMN-PORTOTORRES PTOR0 | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | VAL | 2004/12/31 00:00:00 | Italy | APAT - Agency for Environmental Protection and Technical Services - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10753 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15a | 94662 | POINT (42.48 27.48) | 10802 | 250448 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | Burgas | | Black Sea | Black Sea | ⋯ | NRT,NRT M,REP,VAL | 2018/08/13 07:29:00 | Bulgaria | IOBAS - Institude of Oceanology - Bulgarian Academy of Science - Bulgaria | Institute of Oceanology Bulgarian Academy of Sciences (IO-BAS) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/IOBAS.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10802 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-159 | 94674 | POINT (39.5233 15.9267) | 10803 | 329 | SeaDataNet,Fixed Moorings | CETRARO CETR0 | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | VAL | 2006/10/29 00:00:00 | -- | -- | | | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10803 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-158 | 94748 | POINT (38.2367 15.6472) | 10952 | 239 | SeaDataNet,Fixed Moorings | ULIXEE | | Mediterranean Sea | Ionian Sea | ⋯ | VAL | 1980/03/25 12:30:00 | Italy | OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - Divisione di Oceanografia - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/OGS.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10952 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-157 | 86993 | POINT (41.874 19.376) | 10759 | 10485 | SeaDataNet,Fixed Moorings | Buna rivermouth Pulaj Station | | Mediterranean Sea | Adriatic Sea | ⋯ | VAL | 1990/12/31 00:00:00 | Albania | UPT - Institute of GeoSciences, Energy, Water and Environment, Polytechnic University of Tirana - Albania | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/upt.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=10759 | #FF00FF | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-156 | 87019 | POINT (37.0333 27.4167) | 10761 | 10487 | SeaDataNet,Fixed Moorings | Coastal location - Bodrum | | Mediterranean Sea | Aegean Sea | ⋯ | VAL | 1986/12/31 21:00:00 | United Kingdom | IOSBL - Institute of Oceanographic Sciences - Bidston Laboratory - United Kingdom | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=10761 | #FF00FF | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-155 | 94431 | POINT (39.08 17.138) | 10971 | 248927 | SeaDataNet,Fixed Moorings | RMN-CROTONE CROT0 | | Mediterranean Sea | Ionian Sea | ⋯ | VAL | 2004/12/31 00:00:00 | Italy | APAT - Agency for Environmental Protection and Technical Services - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10971 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-154 | 94480 | POINT (38.2478 15.6115) | 10976 | 244 | SeaDataNet,Fixed Moorings | ULIXED | | Mediterranean Sea | Ionian Sea | ⋯ | VAL | 1980/07/02 11:46:00 | Italy | OGS - Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - Divisione di Oceanografia - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/OGS.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10976 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-153 | 100556 | POINT (40.026 15.266) | 11905 | 248923 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | RMN-PALINURO | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | NRT,NRT M,REP,VAL | 2004/12/31 23:50:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11905 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-152 | 100565 | POINT (43.624 13.506) | 11906 | 248928 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | RMN-ANCONA | | Mediterranean Sea | Adriatic Sea | ⋯ | NRT,NRT M,REP,VAL | 2004/12/31 23:50:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11906 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-151 | 100575 | POINT (39.164 8.287) | 11907 | 248901 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | RMN-CARLOFORTE | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT,NRT M,REP,VAL | 2004/12/31 23:50:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11907 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-150 | 100591 | POINT (40.475 17.223) | 11909 | 248908 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | RMN-TARANTO | | Mediterranean Sea | Ionian Sea | ⋯ | NRT,NRT M,REP,VAL | 2004/12/31 23:50:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11909 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14f | 100618 | POINT (42.46 14.23) | 11912 | 12232 | SeaDataNet,Fixed Moorings | RMN-PESCARA | | Mediterranean Sea | Adriatic Sea | ⋯ | VAL | 2001/03/27 15:45:00 | Italy | APAT - Agency for Environmental Protection and Technical Services - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11912 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14e | 100627 | POINT (41.882 16.185) | 11913 | 248905 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | RMN-VIESTE | | Mediterranean Sea | Adriatic Sea | ⋯ | NRT,NRT M,REP,VAL | 2004/12/31 23:50:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11913 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14d | 100637 | POINT (40.846 8.406) | 11914 | 12234 | SeaDataNet,CMEMS INSTAC,Fixed Moorings | RMN-PORTOTORRES | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT,NRT M,REP,VAL | 2004/12/31 23:50:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11914 | #DC323B | SDN,INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14c | 67230 | POINT (39.8347 3.13917) | 8399 | 8399 | CMEMS INSTAC | AlcudiaTG | | Mediterranean Sea | Balearic Sea | ⋯ | NRT,NRT M,REP | 2021/02/11 14:04:00 | Spain | PdE - Puertos del Estado - Spain | Puertos del Estado (Spain) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=8399 | #FF00FF | INSTAC |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14b | 74864 | POINT (41.342 2.163) | 8443 | 8443 | CMEMS INSTAC | BarcelonaTG | | Mediterranean Sea | Balearic Sea | ⋯ | NRT,NRT M,REP | 2021/02/11 00:59:00 | Spain | PdE - Puertos del Estado - Spain | Puertos del Estado (Spain) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/puertodelestado.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=8443 | #FF00FF | INSTAC |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14a | 92782 | POINT (38.403 15.794) | 10875 | 147 | SeaDataNet,Fixed Moorings | RMN-MESSINA MESS0 | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | VAL | 2004/12/31 00:00:00 | Italy | APAT - Agency for Environmental Protection and Technical Services - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=10875 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-149 | 92815 | POINT (38.2092 15.5677) | 11018 | 187 | SeaDataNet,Fixed Moorings | MULIS-C1D | | Mediterranean Sea | Ionian Sea | ⋯ | VAL | 1992/06/09 12:16:00 | Italy | SAIPEM - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/sdnsaipem.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11018 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-148 | 92874 | POINT (38.125 15.65) | 11024 | 133 | SeaDataNet,Fixed Moorings | REGGIO CALABRIA REG10 | | Mediterranean Sea | Ionian Sea | ⋯ | VAL | 1992/05/01 00:00:00 | Italy | SAIPEM - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/sdnsaipem.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11024 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-147 | 92885 | POINT (40.475 17.223) | 11025 | 248908 | SeaDataNet,Fixed Moorings | RMN-TARANTO TARA0 | | Mediterranean Sea | Ionian Sea | ⋯ | VAL | 2004/12/31 00:00:00 | Italy | APAT - Agency for Environmental Protection and Technical Services - Italy | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | MO | http://www.emodnet-physics.eu/map/spi.aspx?id=11025 | #DC323B | SDN,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-146 | 100299 | POINT (43.5833 13.4833) | 12075 | 12394 | PSMSL | PSMSL_ANCONA_101 | | Mediterranean Sea | Adriatic Sea | ⋯ | NRT,NRT M,REP | 2015/08/05 12:49:42 | Other | Not Defined | INSTITUTO TALASSOGRAFICO DI TRIESTE | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=12075 | #FF00FF | PSMSL |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-145 | 100311 | POINT (37.5 15.1333) | 12076 | 12395 | PSMSL | PSMSL_CATANIA_102 | | Mediterranean Sea | Ionian Sea | ⋯ | NRT,NRT M,REP | 2015/08/05 12:49:42 | Other | Not Defined | INSTITUTO TALASSOGRAFICO DI TRIESTE | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=12076 | #FF00FF | PSMSL |\n", "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1aa | 586970 | POINT (41.668 2.908) | 927519 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20171205103000 | | | | ⋯ | NRT | 2017/12/05 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927519 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ab | 586979 | POINT (41.668 2.908) | 927520 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20180112103000 | | | | ⋯ | NRT | 2018/01/12 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927520 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ac | 586992 | POINT (41.668 2.908) | 927521 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20180215103000 | | | | ⋯ | NRT | 2018/02/15 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927521 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ad | 586999 | POINT (41.668 2.908) | 927522 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20180313103000 | | | | ⋯ | NRT | 2018/03/13 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927522 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ae | 660680 | POINT (40.4756 17.2238) | 608052 | 12396 | IOC | IOC_TA18 | | Mediterranean Sea | Ionian Sea | ⋯ | NRT | 2021/02/11 15:44:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | Istituto Superiore per la Protezione e la Ricerca Ambientale ( Italy ) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=608052 | #FF00FF | IOC |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1af | 660858 | POINT (41.4469 12.6348) | 607890 | 638156 | CMEMS INSTAC,Fixed Moorings | RMN-Anzio | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | NRT,NRT M,REP | 2020/10/06 08:01:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=607890 | #FF00FF | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b0 | 554755 | POINT (43.5273 -1.5154) | 370010 | 393920 | CMEMS INSTAC,AtlantOS,Fixed Moorings | BayonneBoucauTG-60min | | Atlantic, Bay of Biscay, Celtic Sea, AtlantOS | Bay of Biscay,AtlantOS | ⋯ | NRT M | 2018/01/01 00:00:00 | France | Shom - France | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=370010 | #FF00FF | INSTAC,ATLANTOS,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b1 | 554847 | POINT (42.9658 9.34983) | 370020 | 393930 | CMEMS INSTAC,Fixed Moorings | CenturiTG-10min | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT M | 2018/07/01 00:00:00 | France | Shom - France | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=370020 | #FF00FF | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b2 | 554850 | POINT (42.9658 9.34983) | 370021 | 393931 | CMEMS INSTAC,Fixed Moorings | CenturiTG-60min | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT M | 2018/01/01 00:00:00 | France | Shom - France | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=370021 | #FF00FF | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b3 | 554872 | POINT (43.733 7.4237) | 370081 | 393991 | CMEMS INSTAC,Fixed Moorings | MonacoTG-60min | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT M | 2018/01/01 00:00:00 | France | Shom - France | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=370081 | #FF00FF | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b4 | 584905 | POINT (38.7995 1.1213) | 927443 | 259598 | CMEMS INSTAC,VOS/SOOP | EABV_20140217134404 | EABV | | | ⋯ | NRT | 2014/02/17 13:44:04 | Spain | SOCIB - Balearic Islands Coastal Observing and Forecasting System | SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927443 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b5 | 584915 | POINT (37.146 -0.80412) | 927444 | 259646 | CMEMS INSTAC,VOS/SOOP | EABV_20140507065935 | EABV | | | ⋯ | NRT | 2014/05/07 06:59:35 | Spain | SOCIB - Balearic Islands Coastal Observing and Forecasting System | SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927444 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b6 | 584925 | POINT (38.8045 0.85997) | 927445 | 259718 | CMEMS INSTAC,VOS/SOOP | EABV_20141125132933 | EABV | | | ⋯ | NRT | 2014/11/25 13:29:33 | Spain | SOCIB - Balearic Islands Coastal Observing and Forecasting System | SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927445 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b7 | 584938 | POINT (39.0003 0.99499) | 927446 | 259764 | CMEMS INSTAC,VOS/SOOP | EABV_20150423164011 | EABV | | | ⋯ | NRT | 2015/04/23 16:40:11 | Spain | SOCIB - Balearic Islands Coastal Observing and Forecasting System | SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927446 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b8 | 584948 | POINT (39.6046 2.34851) | 927447 | 259787 | CMEMS INSTAC,VOS/SOOP | EABV_20150506082252 | EABV | | | ⋯ | NRT | 2015/05/06 08:22:52 | Spain | SOCIB - Balearic Islands Coastal Observing and Forecasting System | SOCIB (Sistema de Observacion y prediccion Costero de las Islas Baleares) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/socib.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927447 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b9 | 532045 | POINT (37.0311 27.4303) | 1069466 | 1060045 | TAD - Tsunami Alert Device | TAD_SEISMO-TR-000 | | Mediterranean Sea | Aegean Sea | ⋯ | -- | 2021/02/11 17:00:08 | -- | -- | JRC | | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=1069466 | #FF00FF | TAD |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ba | 532053 | POINT (37.0349 27.4247) | 1069467 | 1060046 | TAD - Tsunami Alert Device | TAD_SEISMO-TR-001 | | Mediterranean Sea | Aegean Sea | ⋯ | -- | 2021/02/11 17:00:14 | -- | -- | JRC | | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=1069467 | #FF00FF | TAD |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bb | 532062 | POINT (36.6207 29.0922) | 1069468 | 1060047 | TAD - Tsunami Alert Device | TAD_SENTEZ-01 | | Mediterranean Sea | Mediterranean Sea - Eastern Basin | ⋯ | -- | 2019/10/17 16:46:55 | -- | -- | SENTEZ | | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=1069468 | #FF00FF | TAD |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bc | 532071 | POINT (38.7984 15.1931) | 1069469 | 1060048 | TAD - Tsunami Alert Device | TAD_FI02 | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | -- | 2015/06/13 18:36:15 | -- | -- | UNIFI | | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=1069469 | #FF00FF | TAD |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bd | 541662 | POINT (39.2101 9.1142) | 366675 | 12397 | IOC | IOC_CA02 | | Mediterranean Sea | Tyrrhenian Sea | ⋯ | NRT | 2021/02/11 23:22:00 | Italy | ISPRA - Istituto Superiore per la Protezione e la Ricerca Ambientale - Italy | Istituto Superiore per la Protezione e la Ricerca Ambientale ( Italy ) | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ISPRA.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=366675 | #FF00FF | IOC |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1be | 555774 | POINT (42.6396 8.93524) | 370719 | 394762 | CMEMS INSTAC,Fixed Moorings | IleRousseTG-20min | | Mediterranean Sea | Mediterranean Sea - Western Basin | ⋯ | NRT,NRT M | 2018/11/29 23:50:37 | France | Shom - France | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/SHOM.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=370719 | #FF00FF | INSTAC,FIXEDMOORINGS |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bf | 685119 | POINT (43.2262 28.0136) | 832898 | 867632 | CMEMS INSTAC | SD1013418031 | | Black Sea | Black Sea | ⋯ | NRT,NRT M | 2019/11/04 09:18:21 | Other | Not Defined | Unknown institution | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/none.png | TG | http://www.emodnet-physics.eu/map/spi.aspx?id=832898 | #FF00FF | INSTAC |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c0 | 584115 | POINT (41.668 2.908) | 927473 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20140211103000 | | | | ⋯ | NRT | 2014/02/11 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927473 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c1 | 584123 | POINT (41.668 2.908) | 927474 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20140311103000 | | | | ⋯ | NRT | 2014/03/11 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927474 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c2 | 584134 | POINT (41.668 2.908) | 927475 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20140407103000 | | | | ⋯ | NRT | 2014/04/07 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927475 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c3 | 584143 | POINT (41.668 2.908) | 927476 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20140502103000 | | | | ⋯ | NRT | 2014/05/02 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927476 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c4 | 583132 | POINT (41.668 2.908) | 927500 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20160505103000 | | | | ⋯ | NRT | 2016/05/05 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927500 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c5 | 583147 | POINT (41.668 2.908) | 927501 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20160608103000 | | | | ⋯ | NRT | 2016/06/08 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927501 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c6 | 583156 | POINT (41.668 2.908) | 927502 | 259582 | CMEMS INSTAC,VOS/SOOP | OOCS_20160707103000 | | | | ⋯ | NRT | 2016/07/07 10:30:00 | Spain | CEAB – Centre d'Estudis Avançats de Blanes - Spain | CEAB-CSIC Center for Advanced Studies of Blanes - Spanish Council for Scientific Research | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/ceab.png | CT | http://www.emodnet-physics.eu/map/spi.aspx?id=927502 | #808080 | INSTAC,VOSSOOP |\n", "| EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c7 | 681107 | POINT (43.2954 -1.72975) | 1155746 | 1147471 | AtlantOS,MERTEC | EndarlatsaBidasoa | | | | ⋯ | NRT,NRT M,REP | 2021/02/10 00:00:00 | -- | Confederacion Hidrografica del Cantabrico, CHCantabrico | | http://www.emodnet-physics.eu/Map/includes/images/dataProviders/loghi/Logo_CHCantabrico.png | RF | http://www.emodnet-physics.eu/map/spi.aspx?id=1155746 | #E70B0B | ATLANTOS,MOHID |\n", "\n" ], "text/plain": [ " FID fid \n", "1 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-162 28523\n", "2 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-161 28533\n", "3 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-160 28543\n", "4 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15f 63293\n", "5 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15e 70788\n", "6 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15d 77760\n", "7 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15c 87434\n", "8 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15b 87444\n", "9 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-15a 94662\n", "10 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-159 94674\n", "11 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-158 94748\n", "12 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-157 86993\n", "13 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-156 87019\n", "14 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-155 94431\n", "15 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-154 94480\n", "16 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-153 100556\n", "17 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-152 100565\n", "18 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-151 100575\n", "19 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-150 100591\n", "20 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14f 100618\n", "21 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14e 100627\n", "22 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14d 100637\n", "23 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14c 67230\n", "24 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14b 74864\n", "25 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-14a 92782\n", "26 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-149 92815\n", "27 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-148 92874\n", "28 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-147 92885\n", "29 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-146 100299\n", "30 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_-145 100311\n", "⋮ ⋮ ⋮ \n", "781 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1aa 586970\n", "782 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ab 586979\n", "783 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ac 586992\n", "784 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ad 586999\n", "785 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ae 660680\n", "786 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1af 660858\n", "787 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b0 554755\n", "788 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b1 554847\n", "789 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b2 554850\n", "790 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b3 554872\n", "791 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b4 584905\n", "792 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b5 584915\n", "793 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b6 584925\n", "794 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b7 584938\n", "795 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b8 584948\n", "796 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1b9 532045\n", "797 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1ba 532053\n", "798 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bb 532062\n", "799 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bc 532071\n", "800 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bd 541662\n", "801 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1be 555774\n", "802 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1bf 685119\n", "803 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c0 584115\n", "804 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c1 584123\n", "805 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c2 584134\n", "806 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c3 584143\n", "807 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c4 583132\n", "808 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c5 583147\n", "809 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c6 583156\n", "810 EP_PLATFORMS_SLEV.fid--1a753987_17796917fdf_1c7 681107\n", " position PlatformID MapPlatformID\n", "1 POINT (42.1189 15.5016) 639609 670616 \n", "2 POINT (41.1798 29.6039) 639610 670621 \n", "3 POINT (41.0019 39.7445) 639611 670622 \n", "4 POINT (43.3189 4.8662) 7274 7274 \n", "5 POINT (39.893 4.27056) 8739 8739 \n", "6 POINT (42.958 27.899) 8888 8888 \n", "7 POINT (40.026 15.266) 10752 248923 \n", "8 POINT (40.846 8.406) 10753 12234 \n", "9 POINT (42.48 27.48) 10802 250448 \n", "10 POINT (39.5233 15.9267) 10803 329 \n", "11 POINT (38.2367 15.6472) 10952 239 \n", "12 POINT (41.874 19.376) 10759 10485 \n", "13 POINT (37.0333 27.4167) 10761 10487 \n", "14 POINT (39.08 17.138) 10971 248927 \n", "15 POINT (38.2478 15.6115) 10976 244 \n", "16 POINT (40.026 15.266) 11905 248923 \n", "17 POINT (43.624 13.506) 11906 248928 \n", "18 POINT (39.164 8.287) 11907 248901 \n", "19 POINT (40.475 17.223) 11909 248908 \n", "20 POINT (42.46 14.23) 11912 12232 \n", "21 POINT (41.882 16.185) 11913 248905 \n", "22 POINT (40.846 8.406) 11914 12234 \n", "23 POINT (39.8347 3.13917) 8399 8399 \n", "24 POINT (41.342 2.163) 8443 8443 \n", "25 POINT (38.403 15.794) 10875 147 \n", "26 POINT (38.2092 15.5677) 11018 187 \n", "27 POINT (38.125 15.65) 11024 133 \n", "28 POINT (40.475 17.223) 11025 248908 \n", "29 POINT (43.5833 13.4833) 12075 12394 \n", "30 POINT (37.5 15.1333) 12076 12395 \n", "⋮ ⋮ ⋮ ⋮ \n", "781 POINT (41.668 2.908) 927519 259582 \n", "782 POINT (41.668 2.908) 927520 259582 \n", "783 POINT (41.668 2.908) 927521 259582 \n", "784 POINT (41.668 2.908) 927522 259582 \n", "785 POINT (40.4756 17.2238) 608052 12396 \n", "786 POINT (41.4469 12.6348) 607890 638156 \n", "787 POINT (43.5273 -1.5154) 370010 393920 \n", "788 POINT (42.9658 9.34983) 370020 393930 \n", "789 POINT (42.9658 9.34983) 370021 393931 \n", "790 POINT (43.733 7.4237) 370081 393991 \n", "791 POINT (38.7995 1.1213) 927443 259598 \n", "792 POINT (37.146 -0.80412) 927444 259646 \n", "793 POINT (38.8045 0.85997) 927445 259718 \n", "794 POINT (39.0003 0.99499) 927446 259764 \n", "795 POINT (39.6046 2.34851) 927447 259787 \n", "796 POINT (37.0311 27.4303) 1069466 1060045 \n", "797 POINT (37.0349 27.4247) 1069467 1060046 \n", "798 POINT (36.6207 29.0922) 1069468 1060047 \n", "799 POINT (38.7984 15.1931) 1069469 1060048 \n", "800 POINT (39.2101 9.1142) 366675 12397 \n", "801 POINT (42.6396 8.93524) 370719 394762 \n", "802 POINT (43.2262 28.0136) 832898 867632 \n", "803 POINT (41.668 2.908) 927473 259582 \n", "804 POINT (41.668 2.908) 927474 259582 \n", "805 POINT (41.668 2.908) 927475 259582 \n", "806 POINT (41.668 2.908) 927476 259582 \n", "807 POINT (41.668 2.908) 927500 259582 \n", "808 POINT (41.668 2.908) 927501 259582 \n", "809 POINT (41.668 2.908) 927502 259582 \n", "810 POINT (43.2954 -1.72975) 1155746 1147471 \n", " ProjectsDescr PlatformCode \n", "1 CMEMS INSTAC,Fixed Moorings RMN-IsoleTremiti \n", "2 CMEMS INSTAC,Fixed Moorings Sile \n", "3 CMEMS INSTAC,Fixed Moorings Trabzon \n", "4 JericoNEXT,CMEMS INSTAC,Fixed Moorings 61284 \n", "5 CMEMS INSTAC MahonTG \n", "6 JericoNEXT,CMEMS INSTAC,Fixed Moorings Shkorpilovtsi \n", "7 SeaDataNet,Fixed Moorings RMN-PALINURO PALI0 \n", "8 SeaDataNet,Fixed Moorings RMN-PORTOTORRES PTOR0 \n", "9 SeaDataNet,CMEMS INSTAC,Fixed Moorings Burgas \n", "10 SeaDataNet,Fixed Moorings CETRARO CETR0 \n", "11 SeaDataNet,Fixed Moorings ULIXEE \n", "12 SeaDataNet,Fixed Moorings Buna rivermouth Pulaj Station\n", "13 SeaDataNet,Fixed Moorings Coastal location - Bodrum \n", "14 SeaDataNet,Fixed Moorings RMN-CROTONE CROT0 \n", "15 SeaDataNet,Fixed Moorings ULIXED \n", "16 SeaDataNet,CMEMS INSTAC,Fixed Moorings RMN-PALINURO \n", "17 SeaDataNet,CMEMS INSTAC,Fixed Moorings RMN-ANCONA \n", "18 SeaDataNet,CMEMS INSTAC,Fixed Moorings RMN-CARLOFORTE \n", "19 SeaDataNet,CMEMS INSTAC,Fixed Moorings RMN-TARANTO \n", "20 SeaDataNet,Fixed Moorings RMN-PESCARA \n", "21 SeaDataNet,CMEMS INSTAC,Fixed Moorings RMN-VIESTE \n", "22 SeaDataNet,CMEMS INSTAC,Fixed Moorings RMN-PORTOTORRES \n", "23 CMEMS INSTAC AlcudiaTG \n", "24 CMEMS INSTAC BarcelonaTG \n", "25 SeaDataNet,Fixed Moorings RMN-MESSINA MESS0 \n", "26 SeaDataNet,Fixed Moorings MULIS-C1D \n", "27 SeaDataNet,Fixed Moorings REGGIO CALABRIA REG10 \n", "28 SeaDataNet,Fixed Moorings RMN-TARANTO TARA0 \n", "29 PSMSL PSMSL_ANCONA_101 \n", "30 PSMSL PSMSL_CATANIA_102 \n", "⋮ ⋮ ⋮ \n", "781 CMEMS INSTAC,VOS/SOOP OOCS_20171205103000 \n", "782 CMEMS INSTAC,VOS/SOOP OOCS_20180112103000 \n", "783 CMEMS INSTAC,VOS/SOOP OOCS_20180215103000 \n", "784 CMEMS INSTAC,VOS/SOOP OOCS_20180313103000 \n", "785 IOC IOC_TA18 \n", "786 CMEMS INSTAC,Fixed Moorings RMN-Anzio \n", "787 CMEMS INSTAC,AtlantOS,Fixed Moorings BayonneBoucauTG-60min \n", "788 CMEMS INSTAC,Fixed Moorings CenturiTG-10min \n", "789 CMEMS INSTAC,Fixed Moorings CenturiTG-60min \n", "790 CMEMS INSTAC,Fixed Moorings MonacoTG-60min \n", "791 CMEMS INSTAC,VOS/SOOP EABV_20140217134404 \n", "792 CMEMS INSTAC,VOS/SOOP EABV_20140507065935 \n", "793 CMEMS INSTAC,VOS/SOOP EABV_20141125132933 \n", "794 CMEMS INSTAC,VOS/SOOP EABV_20150423164011 \n", "795 CMEMS INSTAC,VOS/SOOP EABV_20150506082252 \n", "796 TAD - Tsunami Alert Device TAD_SEISMO-TR-000 \n", "797 TAD - Tsunami Alert Device TAD_SEISMO-TR-001 \n", "798 TAD - Tsunami Alert Device TAD_SENTEZ-01 \n", "799 TAD - Tsunami Alert Device TAD_FI02 \n", "800 IOC IOC_CA02 \n", "801 CMEMS INSTAC,Fixed Moorings IleRousseTG-20min \n", "802 CMEMS INSTAC SD1013418031 \n", "803 CMEMS INSTAC,VOS/SOOP OOCS_20140211103000 \n", "804 CMEMS INSTAC,VOS/SOOP OOCS_20140311103000 \n", "805 CMEMS INSTAC,VOS/SOOP OOCS_20140407103000 \n", "806 CMEMS INSTAC,VOS/SOOP OOCS_20140502103000 \n", "807 CMEMS INSTAC,VOS/SOOP OOCS_20160505103000 \n", "808 CMEMS INSTAC,VOS/SOOP OOCS_20160608103000 \n", "809 CMEMS INSTAC,VOS/SOOP OOCS_20160707103000 \n", "810 AtlantOS,MERTEC EndarlatsaBidasoa \n", " WMOCode SeaRegionCode \n", "1 Mediterranean Sea \n", "2 Black Sea \n", "3 Black Sea \n", "4 61284 Mediterranean Sea \n", "5 Mediterranean Sea \n", "6 Black Sea \n", "7 Mediterranean Sea \n", "8 Mediterranean Sea \n", "9 Black Sea \n", "10 Mediterranean Sea \n", "11 Mediterranean Sea \n", "12 Mediterranean Sea \n", "13 Mediterranean Sea \n", "14 Mediterranean Sea \n", "15 Mediterranean Sea \n", "16 Mediterranean Sea \n", "17 Mediterranean Sea \n", "18 Mediterranean Sea \n", "19 Mediterranean Sea \n", "20 Mediterranean Sea \n", "21 Mediterranean Sea \n", "22 Mediterranean Sea \n", "23 Mediterranean Sea \n", "24 Mediterranean Sea \n", "25 Mediterranean Sea \n", "26 Mediterranean Sea \n", "27 Mediterranean Sea \n", "28 Mediterranean Sea \n", "29 Mediterranean Sea \n", "30 Mediterranean Sea \n", "⋮ ⋮ ⋮ \n", "781 \n", "782 \n", "783 \n", "784 \n", "785 Mediterranean Sea \n", "786 Mediterranean Sea \n", "787 Atlantic, Bay of Biscay, Celtic Sea, AtlantOS\n", "788 Mediterranean Sea \n", "789 Mediterranean Sea \n", "790 Mediterranean Sea \n", "791 EABV \n", "792 EABV \n", "793 EABV \n", "794 EABV \n", "795 EABV \n", "796 Mediterranean Sea \n", "797 Mediterranean Sea \n", "798 Mediterranean Sea \n", "799 Mediterranean Sea \n", "800 Mediterranean Sea \n", "801 Mediterranean Sea \n", "802 Black Sea \n", "803 \n", "804 \n", "805 \n", "806 \n", "807 \n", "808 \n", "809 \n", "810 \n", " SeaRegionDescr ⋯ DataTypeDescr LastDataMeasured \n", "1 Adriatic Sea ⋯ NRT,NRT M,REP 2020/09/27 23:53:00\n", "2 Black Sea ⋯ NRT,NRT M 2021/02/11 09:21:00\n", "3 Black Sea ⋯ NRT,NRT M,REP 2021/02/11 09:20:30\n", "4 Mediterranean Sea - Western Basin ⋯ NRT,NRT M,REP 2019/10/15 16:33:12\n", "5 Mediterranean Sea - Western Basin ⋯ NRT,NRT M,REP 2021/02/11 14:04:00\n", "6 Black Sea ⋯ NRT,NRT M,REP 2018/12/19 09:20:00\n", "7 Tyrrhenian Sea ⋯ VAL 2004/12/31 00:00:00\n", "8 Mediterranean Sea - Western Basin ⋯ VAL 2004/12/31 00:00:00\n", "9 Black Sea ⋯ NRT,NRT M,REP,VAL 2018/08/13 07:29:00\n", "10 Tyrrhenian Sea ⋯ VAL 2006/10/29 00:00:00\n", "11 Ionian Sea ⋯ VAL 1980/03/25 12:30:00\n", "12 Adriatic Sea ⋯ VAL 1990/12/31 00:00:00\n", "13 Aegean Sea ⋯ VAL 1986/12/31 21:00:00\n", "14 Ionian Sea ⋯ VAL 2004/12/31 00:00:00\n", "15 Ionian Sea ⋯ VAL 1980/07/02 11:46:00\n", "16 Tyrrhenian Sea ⋯ NRT,NRT M,REP,VAL 2004/12/31 23:50:00\n", "17 Adriatic Sea ⋯ NRT,NRT M,REP,VAL 2004/12/31 23:50:00\n", "18 Mediterranean Sea - Western Basin ⋯ NRT,NRT M,REP,VAL 2004/12/31 23:50:00\n", "19 Ionian Sea ⋯ NRT,NRT M,REP,VAL 2004/12/31 23:50:00\n", "20 Adriatic Sea ⋯ VAL 2001/03/27 15:45:00\n", "21 Adriatic Sea ⋯ NRT,NRT M,REP,VAL 2004/12/31 23:50:00\n", "22 Mediterranean Sea - Western Basin ⋯ NRT,NRT M,REP,VAL 2004/12/31 23:50:00\n", "23 Balearic Sea ⋯ NRT,NRT M,REP 2021/02/11 14:04:00\n", "24 Balearic Sea ⋯ NRT,NRT M,REP 2021/02/11 00:59:00\n", "25 Tyrrhenian Sea ⋯ VAL 2004/12/31 00:00:00\n", "26 Ionian Sea ⋯ VAL 1992/06/09 12:16:00\n", "27 Ionian Sea ⋯ VAL 1992/05/01 00:00:00\n", "28 Ionian Sea ⋯ VAL 2004/12/31 00:00:00\n", "29 Adriatic Sea ⋯ NRT,NRT M,REP 2015/08/05 12:49:42\n", "30 Ionian Sea ⋯ NRT,NRT M,REP 2015/08/05 12:49:42\n", "⋮ ⋮ ⋱ ⋮ ⋮ \n", "781 ⋯ NRT 2017/12/05 10:30:00\n", "782 ⋯ NRT 2018/01/12 10:30:00\n", "783 ⋯ NRT 2018/02/15 10:30:00\n", "784 ⋯ NRT 2018/03/13 10:30:00\n", "785 Ionian Sea ⋯ NRT 2021/02/11 15:44:00\n", "786 Tyrrhenian Sea ⋯ NRT,NRT M,REP 2020/10/06 08:01:00\n", "787 Bay of Biscay,AtlantOS ⋯ NRT M 2018/01/01 00:00:00\n", "788 Mediterranean Sea - Western Basin ⋯ NRT M 2018/07/01 00:00:00\n", "789 Mediterranean Sea - Western Basin ⋯ NRT M 2018/01/01 00:00:00\n", "790 Mediterranean Sea - Western Basin ⋯ NRT M 2018/01/01 00:00:00\n", "791 ⋯ NRT 2014/02/17 13:44:04\n", "792 ⋯ NRT 2014/05/07 06:59:35\n", "793 ⋯ NRT 2014/11/25 13:29:33\n", "794 ⋯ NRT 2015/04/23 16:40:11\n", "795 ⋯ NRT 2015/05/06 08:22:52\n", "796 Aegean Sea ⋯ -- 2021/02/11 17:00:08\n", "797 Aegean Sea ⋯ -- 2021/02/11 17:00:14\n", "798 Mediterranean Sea - Eastern Basin ⋯ -- 2019/10/17 16:46:55\n", "799 Tyrrhenian Sea ⋯ -- 2015/06/13 18:36:15\n", "800 Tyrrhenian Sea ⋯ NRT 2021/02/11 23:22:00\n", "801 Mediterranean Sea - Western Basin ⋯ NRT,NRT M 2018/11/29 23:50:37\n", "802 Black Sea ⋯ NRT,NRT M 2019/11/04 09:18:21\n", "803 ⋯ NRT 2014/02/11 10:30:00\n", "804 ⋯ NRT 2014/03/11 10:30:00\n", "805 ⋯ NRT 2014/04/07 10:30:00\n", "806 ⋯ NRT 2014/05/02 10:30:00\n", "807 ⋯ NRT 2016/05/05 10:30:00\n", "808 ⋯ NRT 2016/06/08 10:30:00\n", "809 ⋯ NRT 2016/07/07 10:30:00\n", "810 ⋯ NRT,NRT M,REP 2021/02/10 00:00:00\n", " Country \n", "1 Italy \n", "2 Turkey \n", "3 Turkey \n", "4 France 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http://www.emodnet-physics.eu/map/spi.aspx?id=1069467\n", "798 TG http://www.emodnet-physics.eu/map/spi.aspx?id=1069468\n", "799 TG http://www.emodnet-physics.eu/map/spi.aspx?id=1069469\n", "800 TG http://www.emodnet-physics.eu/map/spi.aspx?id=366675 \n", "801 TG http://www.emodnet-physics.eu/map/spi.aspx?id=370719 \n", "802 TG http://www.emodnet-physics.eu/map/spi.aspx?id=832898 \n", "803 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927473 \n", "804 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927474 \n", "805 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927475 \n", "806 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927476 \n", "807 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927500 \n", "808 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927501 \n", "809 CT http://www.emodnet-physics.eu/map/spi.aspx?id=927502 \n", "810 RF http://www.emodnet-physics.eu/map/spi.aspx?id=1155746\n", " ColorFeatures ProjectsCode \n", "1 #FF00FF INSTAC,FIXEDMOORINGS \n", "2 #DC323B INSTAC,FIXEDMOORINGS \n", "3 #DC323B INSTAC,FIXEDMOORINGS \n", "4 #DC323B JRC,INSTAC,FIXEDMOORINGS \n", "5 #FF00FF INSTAC \n", "6 #DC323B JRC,INSTAC,FIXEDMOORINGS \n", "7 #DC323B SDN,FIXEDMOORINGS \n", "8 #DC323B SDN,FIXEDMOORINGS \n", "9 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "10 #DC323B SDN,FIXEDMOORINGS \n", "11 #DC323B SDN,FIXEDMOORINGS \n", "12 #FF00FF SDN,FIXEDMOORINGS \n", "13 #FF00FF SDN,FIXEDMOORINGS \n", "14 #DC323B SDN,FIXEDMOORINGS \n", "15 #DC323B SDN,FIXEDMOORINGS \n", "16 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "17 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "18 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "19 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "20 #DC323B SDN,FIXEDMOORINGS \n", "21 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "22 #DC323B SDN,INSTAC,FIXEDMOORINGS \n", "23 #FF00FF INSTAC \n", "24 #FF00FF INSTAC \n", "25 #DC323B SDN,FIXEDMOORINGS \n", "26 #DC323B SDN,FIXEDMOORINGS \n", "27 #DC323B SDN,FIXEDMOORINGS \n", "28 #DC323B SDN,FIXEDMOORINGS \n", "29 #FF00FF PSMSL \n", "30 #FF00FF PSMSL \n", "⋮ ⋮ ⋮ \n", "781 #808080 INSTAC,VOSSOOP \n", "782 #808080 INSTAC,VOSSOOP \n", "783 #808080 INSTAC,VOSSOOP \n", "784 #808080 INSTAC,VOSSOOP \n", "785 #FF00FF IOC \n", "786 #FF00FF INSTAC,FIXEDMOORINGS \n", "787 #FF00FF INSTAC,ATLANTOS,FIXEDMOORINGS\n", "788 #FF00FF INSTAC,FIXEDMOORINGS \n", "789 #FF00FF INSTAC,FIXEDMOORINGS \n", "790 #FF00FF INSTAC,FIXEDMOORINGS \n", "791 #808080 INSTAC,VOSSOOP \n", "792 #808080 INSTAC,VOSSOOP \n", "793 #808080 INSTAC,VOSSOOP \n", "794 #808080 INSTAC,VOSSOOP \n", "795 #808080 INSTAC,VOSSOOP \n", "796 #FF00FF TAD \n", "797 #FF00FF TAD \n", "798 #FF00FF TAD \n", "799 #FF00FF TAD \n", "800 #FF00FF IOC \n", "801 #FF00FF INSTAC,FIXEDMOORINGS \n", "802 #FF00FF INSTAC \n", "803 #808080 INSTAC,VOSSOOP \n", "804 #808080 INSTAC,VOSSOOP \n", "805 #808080 INSTAC,VOSSOOP \n", "806 #808080 INSTAC,VOSSOOP \n", "807 #808080 INSTAC,VOSSOOP \n", "808 #808080 INSTAC,VOSSOOP \n", "809 #808080 INSTAC,VOSSOOP \n", "810 #E70B0B ATLANTOS,MOHID " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "getWFSpoly<-function(layer, xmin, xmax, ymin, ymax){\n", "layer<-as.character(layer)\n", "#!!!! there is an error with the bbox xmin, xmax ... don't appear in the right order ???\n", "#bbox<-paste(xmin,ymin,xmax,ymax,sep=\",\")\n", "bbox<-paste(xmin,xmax,ymin,ymax,sep=\",\")\n", "con<-paste0(wfs_url,\"service=WFS&version=1.1.0&request=GetFeature&typeName=\",layer,\"&bbox=\",bbox,\",EPSG:4326&outputFormat=csv\")\n", "pipo<-utils::read.csv(url(con), header= TRUE, encoding = 'UTF-8')\n", "# if no data return empty dataframe\n", "print(con)\n", "if(ncol(pipo)<=1){\n", "return(data.frame())\n", "} else {\n", "# convert coordinates to numeric type\n", "xy<-strsplit(gsub(\"\\\\)\",\"\",gsub(\"POINT \\\\(\",\"\",pipo[[geometry_name]])),split=\" \")\n", "fun1<-function(a){as.numeric(a[1])}\n", "fun2<-function(a){as.numeric(a[2])}\n", "pipo$y<-sapply(xy,fun1)\n", "pipo$x<-sapply(xy,fun2)\n", "return(pipo)\n", "}\n", "}\n", "\n", "getWFSpolyall<-function (layer, xmin, xmax, ymin, ymax, rez_nblist){\n", "wfs_data <- data.frame()\n", "layer<-as.character(layer)\n", "rez0 <- getWFSpoly(layer, xmin, xmax, ymin, ymax)\n", "if (nrow(rez0) > 0) {\n", "col_rez0 = c()\n", "for (i in 1:length(rez_nblist))\n", "{col_rez0 <- append(col_rez0, rez0[rez_nblist[i]])}\n", "\n", "wfs_data1 <- data.frame(col_rez0)\n", "wfs_data <- rbind(wfs_data,wfs_data1)\n", "rm(rez0)\n", "}\n", "return(wfs_data)\n", "}\n", "\n", "\n", "wfs_data<-getWFSpolyall(layer, xmin, xmax, ymin, ymax, rez_nblist)\n", "\n", "\n", "#plot data\n", "\n", "if(nrow(wfs_data) > 0) {\n", "\n", "wfs_data\n", "\n", "} else {\n", "\n", "print(\"No data available for the defined geographical extent\")\n", "\n", "}\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "cX5peM-_ECuh" }, "source": [ "# Get data as GEOJSON" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 877 }, "colab_type": "code", "id": "OMYaljsdEGJv", "outputId": "54c538a1-eefd-406b-9892-f956d80a547e" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1] \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&srsName=EPSG:4326&version=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_SLEV&OUTPUTFORMAT=application/json&bbox=-2.02,43.18,-1.17,44.09,EPSG:4326\"\n", "OGR data source with driver: GeoJSON \n", "Source: \"http://geoserver.emodnet-physics.eu/geoserver/emodnet/wfs?service=WFS&srsName=EPSG:4326&version=1.1.0&request=GetFeature&typeName=EP_PLATFORMS_SLEV&OUTPUTFORMAT=application/json&bbox=-2.02,43.18,-1.17,44.09,EPSG:4326\", layer: \"OGRGeoJSON\"\n", "with 48 features\n", "It has 22 fields\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Regions defined for each Polygons\n", "\n" ] }, { "data": { "image/png": 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GxMdnY2xQ5oFMUOAGBjMjIymMEOaBTFDgBgY44ePRoaGio7BaBGFDsAgC0pKSkp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\n8PDwjh071hzPzc2NiYmRfmzXrp1M8gMANF5lZWV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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "getGeojson<-function(layer, xmin, xmax, ymin, ymax){\n", "layer<-as.character(layer)\n", "bbox<-paste(xmin,ymin,xmax,ymax,sep=\",\")\n", "con<-paste0(wfs_url,\"service=WFS&srsName=\",epsg_code,\"&version=1.1.0&request=GetFeature&typeName=\",\n", "layer,\"&OUTPUTFORMAT=application/json&bbox=\",bbox,\",EPSG:4326\")\n", "print(con)\n", "ogrInfo(dsn=con,layer = 'OGRGeoJSON')\n", "layer<-readOGR(dsn=con,layer = 'OGRGeoJSON', encoding = \"UTF-8\", use_iconv = TRUE)\n", "return(layer)\n", "}\n", "\n", "#get data\n", "WFS_json<-getGeojson(layer, xmin, xmax, ymin, ymax)\n", "WFS_json<-spTransform(WFS_json,CRS(\"+proj=longlat +datum=WGS84\"))\n", "WFS_json <- intersect(WFS_json, mpa)\n", "\n", "\n", "#print map\n", "if(nrow(wfs_data) > 0) {\n", "\n", "WFS_json_df <- as.data.frame(WFS_json)\n", "colnames(WFS_json_df)[colnames(WFS_json_df) %in% c(\"coords.x1\", \"coords.x2\")] <- c(\"x_longitude\", \"y_latitude\")\n", "\n", "map <- ggplot() +\n", "borders(\"worldHires\", fill = \"gray\", colour = \"black\", xlim = range(xmin,xmax), ylim = range(ymin,ymax), size = .25) +\n", " theme_bw() +\n", " theme(panel.grid.minor.y= element_blank(), panel.grid.minor.x = element_blank()) +\n", " geom_point(data=WFS_json_df,aes(x = x_longitude, y = y_latitude), color=\"red\" ,alpha=1,size=2) +\n", " geom_polygon(data=mpa,aes(x=long,y=lat,group=group,fill=\"mpa\"),colour=\"green\",fill=\"blue\",alpha=.1) +\n", " coord_quickmap(xlim=range(xmin,xmax),ylim=range(ymin,ymax)) +\n", " ggtitle(layer_title)+xlab(\"Longitude (x)\")+ylab(\"Latitude (y)\")\n", "\n", "map\n", "\n", "} else {\n", "\n", "print(\"No data available for the defined geographical extent\")\n", " \n", "}\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "gp9Y4EGF-sx2" }, "source": [ "# print map with ids\n", "\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 877 }, "colab_type": "code", "id": "GkqGBW0c-tu3", "outputId": "8d815e0d-1056-4ebf-ea7c-874f4d09f939" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Regions defined for each Polygons\n", "\n", "Warning message:\n", "“Ignoring unknown parameters: check_overlap”\n", "Warning message:\n", "“Use of `WFS_json_df[[map_label]]` is discouraged. Use `.data[[map_label]]` instead.”\n", "Warning message:\n", "“ggrepel: 29 unlabeled data points (too many overlaps). Consider increasing max.overlaps”\n" ] }, { "data": { "image/png": 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74i9W9/+1v9ldUf42td8Xru3LnrrtP4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\nBACMWwC5T/KvE/wF+CyYb1owSwh2YFyiC6O7VHfREA3bhQCAkWpqalq7du3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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "if(nrow(wfs_data) > 0) {\n", "\n", "map <- ggplot() +\n", "borders(\"worldHires\", fill = \"gray\", colour = \"black\", xlim = range(xmin,xmax), ylim = range(ymin,ymax), size = .25) +\n", " theme_bw() +\n", " theme(panel.grid.minor.y= element_blank(), panel.grid.minor.x = element_blank()) +\n", " geom_point(data=WFS_json_df,aes(x = x_longitude, y = y_latitude),colour=\"red\",fill=\"blue\",alpha=.9) +\n", " geom_polygon(data=mpa,aes(x=long,y=lat,group=group,fill=\"mpa\"),colour=\"green\",fill=\"blue\",alpha=.1) +\n", " geom_text_repel(data=WFS_json_df, aes(label = WFS_json_df[[map_label]], x = x_longitude, y = y_latitude), size=2, hjust= 0, vjust=2, check_overlap = TRUE) +\n", " coord_quickmap(xlim=range(xmin,xmax),ylim=range(ymin,ymax)) +\n", " ggtitle(layer_title)+xlab(\"Longitude (x)\")+ylab(\"Latitude (y)\")\n", "\n", "map\n", "\n", "\n", "} else {\n", "\n", "print(\"No data available for the defined geographical extent\")\n", "\n", "}\n" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "bGqqIROsCSGH" }, "source": [ "## Access measurements (7days) from ERDDAP" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 624 }, "colab_type": "code", "id": "jLzc7ibSCTKD", "outputId": "8b2ae766-9e6a-4bfa-c3a9-ba1c264b7815" }, "outputs": [], "source": [ "if(nrow(wfs_data) > 0) {\n", "\n", "XSLEVLIST <- list() \n", "PlatformIDLIST <- c()\n", "map_PlatformID <- 'PlatformID'\n", "Parameter <- 'SLEV'\n", "Units <- 'meter'\n", "\n", "\n", "for (data in 1:nrow(wfs_data)){\n", "PlatformID <- as.integer(wfs_data[[map_label]][data])\n", "EndDate <- format(Sys.time(), '%d/%m/%Y')\n", "StartDate <- format(as.Date(Sys.time())-7, '%d/%m/%Y')\n", "erddap_url <- paste0(\"https://erddap.emodnet-physics.eu/erddap/tabledap/EP_ERD_INT_SLEV_AL_TS_NRT.csvp?EP_PLATFORM_ID,time,depth,\",Parameter,\"&EP_PLATFORM_ID=%22\",PlatformID,\"%22&time%3E=now-7days\")\n", "\n", "print(PlatformID)\n", "\n", "tryCatch({CSLEV<- read.csv(erddap_url, header=T)\n", "\n", "\n", "if(length(CSLEV) > 0) {\n", "\n", "colnames(CSLEV) <- c('ID','DATE','DEPTH','SLEV')\n", "CSLEV$DATE <- as.POSIXct(CSLEV$DATE, \"UTC\", \"%Y-%m-%dT%H:%M:%S\")\n", "XSLEV<- subset(CSLEV, select=c(\"DATE\",\"SLEV\"))\n", "\n", "\n", "#Select the first depth in the list\n", "#XSLEV<-XSLEV[XSLEV$DEPTH == min(XSLEV$DEPTH, na.rm=T), ]\n", "\n", "XSLEVLIST[[data]] <- subset(XSLEV, select=c(\"DATE\",\"SLEV\"))\n", "PlatformIDLIST <- append(PlatformIDLIST, PlatformID)\n", "\n", "map <- ggplot(XSLEV, aes(x = DATE, y = SLEV))+ geom_point()+geom_smooth(aes(color=DATE,fill=DATE))+\n", "ggtitle(paste(\"PlatformID: \",PlatformID,\" - \",min(XSLEV$DEPTH, na.rm=T)))+xlab(\"7 days\")+ylab(paste0(Parameter,\" (\",Units,\")\"))\n", "plot(map)\n", "\n", "\n", "} else {\n", "print(paste(\"PlatformID:\",as.integer(PlatformID),\"- No accessible data\"))\n", "}\n", "}, error=function(e){cat(\"ERROR: No accessible data\\n\",conditionMessage(e), \"\\n\")})\n", "}\n", "}\n", "\n", "\n" ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "R tutorial Working with EMODnet Data.ipynb", "provenance": [], "toc_visible": true }, "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 1 }