*** WARNING/ATTENTION: This service will close soon. Please consult

In the article 'Trace level analysis of reactive ISO 14687 impurities in hydrogen fuel using laser-based spectroscopic detection methods' (https://doi.org/10.1016/j.ijhydene.2020.09.046) measurements of various reactive compounds are presented in hydrogen and nitrogen. The dataset contain data for HCl.

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef and its neighbouring coast, the Wet Tropics rainforests and Torres Strait. It also includes lots of reference datasets that provide context for the research data. These reference datasets are sourced mostly from state and federal agencies. In addition to this a number of reference basemaps and associated layers are developed as part of the eAtlas and these are made available through this service.

This services also delivers map layers associated with the Torres Strait eAtlas.

This web map service is predominantly set up and maintained for delivery of visualisations through the eAtlas mapping portal (http://maps.eatlas.org.au) and the Australian Ocean Data Network (AODN) portal (http://portal.aodn.org.au). Other portals are free to use this service with attribution, provided you inform us with an email so we can let you know of any changes to the service.

This WMS is implemented using GeoServer version 2.3 software hosted on a server at the Australian Institute of Marine Science. Associated with each WMS layer is a corresponding cached tiled service which is much faster then the WMS. Please use the cached version when possible.

The layers that are available can be discovered by inspecting the GetCapabilities document generated by the GeoServer. This XML document lists all the layers, their descriptions and available rendering styles. Most WMS clients should be able to read this document allowing easy access to all the layers from this service.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/maps/wms?"

Note: this service has over 1000 layers and so retrieving the capabilities documents can take a while.

This services is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub.

The General Bathymetric Chart of the Oceans (GEBCO) consists of an international group of experts who work on the development of a range of bathymetric data sets and products. GEBCO operates under the joint auspices of the International Hydrographic Organization (IHO) and the Intergovernmental Oceanographic Commission (IOC) of UNESCO. See our web site for more information about GEBCO at https://www.gebco.net/. This service provides access to GEBCO's latest global bathymetric grid, GEBCO_2014, in the form of shaded relief imagery as layer 'GEBCO_LATEST'. It also provides access to imagery based on the Source Identifier (SID) Grid that accompanies the GEBCO_2014 Grid as GEBCO_LATEST_SID. The GEBCO_2014 Grid is a global grid of elevation data at 30 arc-second intervals. This data set is available as a Web Map Service (WMS) for use as imagery in your applications. The bathymetric portion of the grid was largely generated from a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. However, in areas where they improve on the existing GEBCO Grid, data sets generated by other methods have been included. Further information about the data sets included in the grid can be found in the documentation that accompanies the data set and is available from https://www.gebco.net/data_and_products/gridded_bathymetry_data/ Within the GEBCO grid land elevation data is largely taken from the 30 arc-second version of the Shuttle Radar Topography Mission data set (SRTM30). Further details can be found in the data set's documentation. The imagery for land areas in this WMS, north of 60 degrees south, is largely taken from the NASA Blue Marble: Next Generation data set, produced by Reto Stockli, NASA Earth Observatory, the NASA Goddard Space Flight Center (http://earthobservatory.nasa.gov/Features/BlueMarble). For land areas south of 60 degrees south, coastline and ice shelf information is taken from the Scientific Committee on Antarctic Research (SCAR) Antarctic Digital Database coastline dataset (http://www.add.scar.org). The GEBCO global grid is accompanied by a Source Identifier (SID) grid - this indicates which of the corresponding cells in the GEBCO grid are based on soundings or existing grids and which are interpolated. The SID grid accompanying the GEBCO_2014 Grid is available as a layer in this WMS, GEBCO_LATEST_SID. GEBCO's first gloabl 30 arc-second interval terrain model was the GEBCO_08 Grid, published in January 2009. The WMS layer generated for the 2010 version of the GEBCO_08 Grid is included as a layer, 'GEBCO_08', within this WMS to accommodate users of this existing WMS layer. Information on how to download the GEBCO's grids can be found at https://www.gebco.net/ Please note that GEBCO's grids are mainly deeper water data sets and do not contain detailed bathymetry in shallower water areas. This WMS has been developed by the British Oceanographic Data Centre (BODC) on behalf of the GEBCO community. If imagery from this WMS is included in web sites, reports and digital and printed imagery then we request that the source of the dataset is acknowledged and be of the form 'Imagery reproduced from the GEBCO Grid, version xxxxxx, www.gebco.net'. Where 'version xxxxxx' is the appropriate version number of the GEBCO Grid, given in the layer information below.

This resources contains PDF files and Python notebook files that demonstrate how to create geospatial resources in HydroShare and how to use these resources through web services provided by the built-in HydroShare GeoServer instance. Geospatial resources can be consumed directly into ArcMap, ArcGIS, Story Maps, Quantum GIS (QGIS), Leaflet, and many other mapping environments. This provides HydroShare users with the ability to store data and retrieve it via services without needing to set up new data services. All tutorials cover how to add WMS and WFS connections. WCS connections are available for QGIS and are covered in the QGIS tutorial. The tutorials and examples provided here are intended to get the novice user up-to-speed with WMS and GeoServer, though we encourage users to read further on these topic using internet searches and other resources. Also included in this resource is a tutorial designed to that walk users through the process of creating a GeoServer connected resource.

The current list of available tutorials: - Creating a Resource - ArcGIS Pro - ArcMap - ArcGIS Story Maps - QGIS - IpyLeaflet - Folium

A single point of access for data collected and managed by the United States Forest Service. Users can use the Geospatial Data Discovery Tool to access data about individual forests or grasslands or about an area of interest that they specify on the national map. Users can find and download datasets by topic area or theme or find and use map services published by the Agency.

The web service (WFS) of the 2010 water bodies theme allows you to consult the following geographical repositories: — Groundwater body — version Report 2010 — Elementary water body polygons — version Report 2010 — Mass of watercourses — version Report 2010 — Elementary breaks of water bodies — Reporting version 2010 — Mass of water body water body — version Report 2010 — Transition water mass — version Report 2010 Version Geographic exchange scenarios are disseminated via the data metadata sheets and on the Sandre site.

The Minnesota Geospatial Image Service provides versatile access to Minnesota air photos, hillshades, and scanned topographic maps using a Web Map Service (WMS). Using this service means you don't need to download and store these very large files on your own computer.

For a list of imagery data sets available through this service, see https://www.mngeo.state.mn.us/chouse/wms/wms_image_server_layers.html.

For technical specifications for using this service, see https://www.mngeo.state.mn.us/chouse/wms/wms_image_server_specs.html.

For information on how to use a Web Map Service (WMS), see https://www.mngeo.state.mn.us/chouse/wms/how_to_use_wms.html.

The description of the data is available in the data lot metadata sheet "Soil observatory at municipal level in the region of Nouvelle-Aquitaine for 2013 - Beta version" referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data accessible here is the South West quarter of the department of Lot et Garonne, i.e.: - south of a line running from the commune of Ruffiac (47227) in the west to the commune of Courbiac (47072) in the east - west of a line running from the commune of Lafitte sur Lot (47127) in the north to the commune of Nomdieu (47197) in the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_047.csv. If the rate of vectorization of the municipalities studied is low, it is necessary to check the relevance of the data before any conclusion.

The data can also be accessed in WMS and WFS: Warnings - Position on the address, right click, copy the link address and paste in the dialog box connecting to a WMS server, WFS. The use of another method leads to the appearance of parasitic spaces. - Problems of displaying multipolygons via the use of WFS (in the process of resolution) - prefer the download of the data if presence of multipolygons - Displaying WFS of more than 500 objects via WFS is currently not possible

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_047_donneesagr?

WFS address for integration into a GIS (see warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

Mosaics are published as ArcGIS image serviceswhich circumvent the need to download or order data. GEO-IDS image services are different from standard web services as they provide access to the raw imagery data. This enhances user experiences by allowing for user driven dynamic area of interest image display enhancement, raw data querying through tools such as the ArcPro information tool, full geospatial analysis, and automation through scripting tools such as ArcPy. Image services are best accessed through the ArcGIS REST APIand REST endpoints (URL's). You can copy the OPS ArcGIS REST API link below into a web browser to gain access to a directory containing all OPS image services. Individual services can be added into ArcPro for display and analysis by using Add Data -> Add Data From Path and copying one of the image service ArcGIS REST endpoint below into the resultant text box. They can also be accessed by setting up an ArcGIS server connectionin ESRI software using the ArcGIS Image Server REST endpoint/URL. Services can also be accessed in open-source software. For example, in QGIS you can right click on the type of service you want to add in the browser pane (e.g., ArcGIS REST Server, WCS, WMS/WMTS) and copy and paste the appropriate URL below into the resultant popup window. All services are in Web Mercator projection. For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca Available Products: ArcGIS REST APIhttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/ Image Service ArcGIS REST endpoint / URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServerWeb Coverage Services (WCS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WCSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WCSServer/Web Mapping Service (WMS) URL'shttps://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2013to2017/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2018to2022/ImageServer/WMSServer/https://ws.geoservices.lrc.gov.on.ca/arcgis5/services/AerialImagery/GEO_Imagery_Data_Service_2023to2027/ImageServer/WMSServer/ Metadata for all imagery products available in GEO-IDS can be accessed at the links below:South Central Ontario Orthophotography Project (SCOOP) 2023North-Western Ontario Orthophotography Project (NWOOP) 2022 Central Ontario Orthophotography Project (COOP) 2021 South-Western Ontario Orthophotography Project (SWOOP) 2020 Digital Raster Acquisition Project Eastern Ontario (DRAPE) 2019-2020 South Central Ontario Orthophotography Project (SCOOP) 2018 North-Western Ontario Orthophotography Project (NWOOP) 2017 Central Ontario Orthophotography Project (COOP) 2016 South-Western Ontario Orthophotography Project (SWOOP) 2015 Algonquin Orthophotography Project (2015) Additional Documentation: Ontario Web Raster Services User Guide (Word) Status:Completed: Production of the data has been completed Maintenance and Update Frequency:Annually: Data is updated every year Contact:Geospatial Ontario (GEO), geospatial@ontario.ca

Access to GéoLimousin data through the WMS service.

To access the @d indicators of a municipality of Ile-de-France. By walking the cursor on the map, the @d indicators of the municipality appear in tooltip. By clicking with the “Information” tool, the mapping of indicators can be accessed. C_Com_iau_Labels c_arobase_d c_Com_iau_2_ Tags c_dep_iau_Labels C_Com_iau c_links_maps c_Com_iau_2 C_dep_iau

Roadway Access Control data consists of linear geometric features which showcase the types of control over vehicle access to public roadways in the State of Maryland. Roadway Access Control data is commonly classified by three (3) control types, which are Full Access Control, Partial Access Control, and No Access Control. Roadway Access Control data is primarily used for general planning purposes, investment requirements modeling to calculate capacity and estimate type of design, in truck size and weight studies, and for Federal Highway Administration (FHWA) Highway Performance Monitoring System (HPMS) annual submission & coordination. The Maryland Department of Transportation State Highway Administration (MDOT SHA) currently reports this data only on the inventory direction (generally North or East) side of the roadway. Roadway Access Control data is not a complete representation of all roadway geometry.Roadway Access Control data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). Roadway Access Control data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Access Control data is key to understanding the types of control over vehicle access to public roadways in the State of Maryland.Roadway Access Control data is updated and published on an annual basis for the prior year. This data is for the year 2017.For additional information, contact the MDOT SHA Geospatial TechnologiesEmail: GIS@mdot.state.md.usFor additional information related to the Maryland Department of Transportation (MDOT):https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://roads.maryland.gov/Home.aspxMDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Link:https://geodata.md.gov/imap/rest/services/Transportation/MD_HighwayPerformanceMonitoringSystem/MapServer/0

This dataset is based on the Geologic Map of North America (scale 1 to 3,000,000, Reed et al., 2005) from DDS 424 (Garrity and Soller, 2009) and the Sherrod et al. (2007) compilation of Hawaii (scale 1 to 100000). The dataset is distributed as the USA USGIN 3M Geology Web Map Service (WMS) by the Arizona Geological Survey for inclusion with One Geology. Data were prepared by clipping data from Garrity and Soller (2009) to the boundaries of the United States including the offshore exclusive economic zone, as defined by NOAA (coastalmap.marine.usgs.gov/GISdata/basemaps/boundaries/eez/NOAA/useez_noaa.htm). US Pacific Island territories are not included. Data for Hawaii were acquired from Sherrod et al. (2007), and units were reclassified to better match the granularity of the Reed et al. (2005) map, and boundaries between reclassified units were dissolved to simplify the map. Offshore data around Hawaii were not found that could be included in the compilation. Data from Garrity and Soller (2009) and the Sherrod et al. (2007) generalization were merged into a single database using the NCGMP09 data structure (USGS NCGMP, 2010). Representative lithology and age properties were associated with each map unit. These property values are specified using CGI vocabularies for rock type (CGI Simple Lithology, resource.geosciml.org/Vocab2011html/SimpleLithology201012.html) and stratigraphic age (International Stratigraphic Chart, 2009-08, resource.geosciml.org/ISC2009/CGI2011TimeScale.rdf). Finer-scale granularity on some polygon-level representative lithology and age assignments than that presented in the Reed et al. (2005) mapping using the state geologic map compilation by the USGS Mineral Resources Division (e.g. Ludington et al., 2007). Data were exported from the NCGMP09 database into database tables conforming to the CGI GeoSciML Portrayal schema, and web services are deployed using these tables as the data source. Spatial data from Garrity and Soller (2009) has been reprojected into WGS 1984 decimal degrees. The Web map service view of the data presents three portrayals, based on representative age, representative lithology and lithostratigraphy. The representative age portrayal uses the color scheme presented on the International Stratigraphic Chart, 2009-08 (pdf cached at resource.geosciml.org/ISC2009/ISChart2009.pdf). RGB and CMYK colors for this legend were imported from OneGeology Europe color scheme (Asch et al., 2009, accessed at onegeology-europe.brgm.fr/how_to201002/OneGeologyWP3-DataSpec_Portrayal_v 201 205KA.doc, Table 1-1). The color scheme for the representative lithology portrayal was updated from a scheme developed by the GeoSciML workgroup (thanks to Eric Boisvert, GSC) using URN identifiers; the colors in that scheme were creatively adapted from Moyer,Hasting and Raines (2005, pubs.usgs.gov/of/2005/1314/of2005-1314.pdf) which provides xls spreadsheets for various color schemes. Most of the colors come from lithclass 6.1 and 6.2 (see www.nadm-geo.org/dmdt/pdf/lithclass61.pdf for lithclass 6.1). The lithostratigraphic scheme was created from the map legend included with Garrity and Soller (2009) by removing overlay patterns because they are incompatible with OGC Styled Layer Description (SLD) of map symbolization, and adjusting colors to preserve distinction between map units defined by Reed et al. (2005). Portrayal of the contact and fault themes use conventional geologic map symbolization. Additional feature classes that can not be mapped into the GeoSciML Portrayal scheme are included on the Reed et al. (2005) map and were digitized by Garrity and Soller (2009). These features are not currently exposed via web services. The additional features were clipped to the extent of the US geology polygons, and have been included in the NCGMP09-format geodatabase distribution of this dataset. Miscellaneous geologic line features including special submarine features, calderas, glaciation extent, impact structure outlines from Reed et al. (2005) were digitized by Garrity and Soller (2009) into a variety of feature classes. These were merged into a single otherLines feature class in the NCGMP09 version of the dataset. FeatureType terms correspond to the names of the original feature classes or feature types within the original feature classes if there were multiple kinds of features. Miscellaneous geologic point features including diapirs, mineral occurrences, gas seeps, hydrothermal vents, unusual igneous rock occurrences, volcanic vents from Reed et al. (2005) were digitized by Garrity and Soller (2009) into a variety of feature classes. These were merged into a single geoPointFeature feature class as an extension to the NCGMP09 model in this dataset. FeatureType terms correspond to the names of the original feature classes or feature types within the original feature classes if there were multiple kinds of features. Miscellaneous geologic overlay polygons that delineate areas of metamorphism, continental deposits, zones of abundant diapirs, and offshore outcrops (?) from Reed et al. (2005) were digitized by Garrity and Soller (2009) into multiple feature classes. These were merged back into a single OverlayPoly feature class of the NCGMP09 model. FeatureType terms correspond to the names of the original feature classes or feature types within the original feature classes if there were multiple kinds of features. References Garrity, C.P., and Soller, D.R., 2009, Database of the Geologic Map of North America- Adapted from the Map by J.C. Reed, Jr. and others (2005), U. S. Geological Survey USGS Data Series DS-DS424, 1 CDROM. 2009 Sherrod, D. R., Sinton, J. M., Watkins, S. E., and Brunt, K. M., 2007, Geologic Map of the State of Hawai I Reston, VA, U. S. Geological Survey Open-File Report 2007 1089, resolution variable. Reed Jr., J. C., Wheeler, J.O., and Tucholke, J.E., 2005, Geologic Map of North America Geological Society of America, DNAG Continent Scale Map 001, Scale 1 to 5,000,000, 3 sheets. USGS National Cooperative Geologic Mapping Program (NCGMP), 2010, NCGMP09 Draft Standard Format for Digital Publication of Geologic Maps, Version 1.1 in Soller, D.R. Editor, Digital Mapping Techniques 2009 Workshop Proceedings USGS Open File Report 2010 1335, p. 93 147. (accessed at pubs.usgs.gov/of/2010/1335/pdf/usgs_of2010 1335_NCGMP09.pdf 2012/01/25) Ludington, Steve, Moring, B.C., Miller, R.J., Stone, P.A., Bookstrom, A.A., Bedford, D.R., Evans, J.G., Haxel, G.A., Nutt, C. J., Flyn, K.S., and Hopkins, M.J., 2007, Preliminary integrated geologic map databases for the United States, Western States: California, Nevada, Arizona, Washington, Oregon, Idaho, and Utah, Version 1.3, updated December 2007: U. S. Geological Survey Open file Report 2005 1305, accessed online at pubs.usgs.gov/of/2005/1305/ (2011/11/08).

A digital elevation model (DEM) for North Carolina. The grid cell size is 3 feet. Data used to create the DEM was derived from LiDAR collected by the NC Floodplain Mapping Program and processed by NC Department of Public Safety - Division of Emergency Management.Download county-based DEMs from the NC OneMap Direct Data Downloads. Data should not be downloaded using the map on the dataset's item page.

This site provides free access to Iowa geographic map data, including aerial photography, orthophotos, elevation maps, and historical maps. The data is available through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999.

Map InformationThis nowCOAST updating map service provides maps depicting visible, infrared, and water vapor imagery composited from NOAA/NESDIS GOES-EAST and GOES-WEST. The horizontal resolutions of the IR, visible, and water vapor composite images are approximately 1km, 4km, and 4km, respectively. The visible and IR imagery depict the location of clouds. The water vapor imagery indicates the amount of water vapor contained in the mid to upper levels of the troposphere. The darker grays indicate drier air while the brighter grays/whites indicates more saturated air. The GOES composite imagers are updated in the nowCOAST map service every 30 minutes. For more detailed information about the update schedule, see: http://new.nowcoast.noaa.gov/help/#section=updatescheduleBackground InformationThe GOES map layer displays visible (VIS) and infrared (IR4) cloud, and water vapor (WV) imagery from the NOAA/ National Environmental Satellite, Data, and Information Service (NESDIS) Geostationary Satellites (GOES-East and GOES-West). These satellites circle the Earth in a geosynchronous orbit (i.e. orbit the equatorial plane of the Earth at a speed matching the rotation of the Earth). This allows the satellites to hover continuously over one position on the surface. The geosynchronous plane is about 35,800 km (22,300 miles) above the Earth which is high enough to allow the satellites a full-disc view of the Earth. GOES-East is positioned at 75 deg W longitude and the equator. GOES-West is located at 135 deg W and the equator. The two satellites cover an area from 20 deg W to 165 deg E. The images are derived from data from GOES' Imagers. An imager is a multichannel instrument that senses radiant energy and reflected solar energy from the Earth's surface and atmosphere. The VIS, IR4, and WV images are obtained from GOES Imager Channels 1, 4, and 3, respectively. The GOES raster images are obtained from NESDIS servers in geo-referenced Tagged-Image File Format (geoTIFF).Time InformationThis map is time-enabled, meaning that each individual layer contains time-varying data and can be utilized by clients capable of making map requests that include a time component.This particular service can be queried with or without the use of a time component. If the time parameter is specified in a request, the data or imagery most relevant to the provided time value, if any, will be returned. If the time parameter is not specified in a request, the latest data or imagery valid for the present system time will be returned to the client. If the time parameter is not specified and no data or imagery is available for the present time, no data will be returned.In addition to ArcGIS Server REST access, time-enabled OGC WMS 1.3.0 access is also provided by this service.Due to software limitations, the time extent of the service and map layers displayed below does not provide the most up-to-date start and end times of available data. Instead, users have three options for determining the latest time information about the service:Issue a returnUpdates=true request for an individual layer or for the service itself, which will return the current start and end times of available data, in epoch time format (milliseconds since 00:00 January 1, 1970). To see an example, click on the "Return Updates" link at the bottom of this page under "Supported Operations". Refer to the ArcGIS REST API Map Service Documentation for more information.Issue an Identify (ArcGIS REST) or GetFeatureInfo (WMS) request against the proper layer corresponding with the target dataset. For raster data, this would be the "Image Footprints with Time Attributes" layer in the same group as the target "Image" layer being displayed. For vector (point, line, or polygon) data, the target layer can be queried directly. In either case, the attributes returned for the matching raster(s) or vector feature(s) will include the following:validtime: Valid timestamp.starttime: Display start time.endtime: Display end time.reftime: Reference time (sometimes reffered to as issuance time, cycle time, or initialization time).projmins: Number of minutes from reference time to valid time.desigreftime: Designated reference time; used as a common reference time for all items when individual reference times do not match.desigprojmins: Number of minutes from designated reference time to valid time.Query the nowCOAST LayerInfo web service, which has been created to provide additional information about each data layer in a service, including a list of all available "time stops" (i.e. "valid times"), individual timestamps, or the valid time of a layer's latest available data (i.e. "Product Time"). For more information about the LayerInfo web service, including examples of various types of requests, refer to the nowCOAST help documentation at: http://new.nowcoast.noaa.gov/help/#section=layerinfoReferencesNOAA, 2013: Geostationary Operational Environmental Satellites (GOES). (Available at http://www.ospo.noaa.gov/Operations/GOES/index.html)A Basic Introduction to Water Vapor Imagery. (Available at http://cimss.ssec.wisc.edu/goes/misc/wv/wv_intro.html)CIMSS, 1996: Water Vapor Imagery Tutorial (Available at http://cimss.ssec.wisc.edu/goes/misc/wv/)

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the legacy WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef. The majority of the layers corresponding to Glenn De'ath's interpolated maps of the GBR developed under the MTSRF program (2008-2010).

This web map service is predominantly maintained for the legacy eAtlas map viewer (http://maps.eatlas.org.au/geoserver/www/map.html). All the these legacy map layers are available through the new eAtlas mapping portal (http://maps.eatlas.org.au), however the legends have not been ported across.

This WMS is implemented using GeoServer version 1.7 software hosted on a server at the Australian Institute of Marine Science.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/geoserver/wms?"

Note: this service has around 460 layers of which approximately half the layers correspond to Standard Error maps, which are WRONG (please ignore all *Std_Error layers.

This services is operated by the Australian Institute of Marine Science and co-funded by the MTSRF program.

This resource abstract has been updated by Rachel using the colab notebook. I have added additional geospatial datasets. I added a shapefile with the Geoglows version 1 basins in North America. I also included the country boundaries which can be helpful in a global dataset. Lastly, I added a tiff showing precipitation over the US which correlates to rainfall.This data is based on the GEOGLOWS version 2 historical simulation. This dataset contains streamflow values since 1849 for 7 million stream segments wouldwide. The data for this uploaded dataset contains monthly averages and standard deviations each of the stream segments. The segments each have a unique identifier that can be used to locate the river. This is a zarr file that contains the averages for every month and year as well as just the average over all months as a whole (for example, the average of all the January values on record). This data is designed in order to produce reports about the status and outlook of the rivers in the world.

The standard of data relates to the non-anonymised GPR, i.e. including the personal data (PACAGE number) of the declaring farmers who are beneficiaries of direct aid under the CAP. The RPG has been constituted, each year since 2004, of all the agricultural islands geolocated by the registrants themselves (on an ortho-photographic background provided) during the annual ‘CAP declarations’ campaign launched each spring throughout France (excluding Guyana and Guadeloupe). Their layout serves as the legal basis for the ASP to determine the amount of various direct aids to farmers and their area (seized using the ISIS software made available by the ASP) is checked, by direct sampling, during the summer following the declarations.The population retained for extraction from the ISIS extractor is that of the registrants of areas whose RPG is fully seized. These are the islets of the “Surfaces” files having one of the following five statutes:- “In the course of being entered” (with the indicator “RPG seizure completed” checked)- “Saisi”- “End of administrative control”- “Instruit”- “Good to liquidate” The islets of the files in the “Received”, “Only entering” (with the unchecked RPG Seizure indicator), “Rejected” and “Clos” are not included in this extraction, repeated weekly.