Sea Level Trend StationsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the National Oceanic and Atmospheric Administration, displays the Center for Operational Oceanographic Products and Services (CO-OPS) locations of all water level stations that have computed sea level trends at that location. According to NOAA, "Changes in Mean Sea Level (MSL), either as sea level rise or sea level fall, have been computed at long-term water level stations using a minimum span of 30 years of observations at each location. The trend analysis has also been extended to non-CO-OPS tide stations using data from the Permanent Service for Mean Sea Level (PSMSL found at https://www.psmsl.org). The trends measured by tide gauges that are presented are local relative MSL trends and therefore include any vertical land motion, as opposed to the absolute global sea level trend."Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Sealevel Trend Stations) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Tides and Currents Map: an interactive map of all CO-OPS stationsGeoplatform: Not AvailableOGC API Features Link: (Sea Level Trend Stations - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Sea Level Trends; Tides & Currents ProductsFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Water - Oceans & Coast Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Oceans & Coast is defined as "features and characteristics of salt water bodies (i.e. tides, tidal waves, coastal information, reefs) and features and characteristics that represent the intersection of the land with the water surface (i.e. shorelines), the lines from which the territorial sea and other maritime zones are measured (i.e. baseline maritime) and lands covered by water at any stage of the tide (i.e. Outer Continental Shelf ), as distinguished from tidelands, which are attached to the mainland or an island and cover and uncover with the tide."For other NGDA Content: Esri Federal Datasets

CityGML is an open data model and XML-based format for the storage and exchange of virtual 3D city models. It is an application schema for the Geography Markup Language version 3.1.1 (GML3), the extended international standard for spatial data exchange issued by the Open Geospatial Consortium (OGC) and the ISO TC211. The aim of the development of CityGML is to reach a common definition of the basic entities, attributes, and relations of a 3D city model. Note: The INSPIRE BU Specification (Building Data Product) is based on this. (7.3.2013)

Datums StationsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the National Oceanic and Atmospheric Administration, displays the Center for Operational Oceanographic Products and Services (CO-OPS) locations of all water level stations at which datums have been calculated. According to NOAA, "for marine applications, a datum is a base elevation used as a reference from which to reckon heights or depths. It is called a tidal datum when defined in terms of a certain phase of the tide. Tidal datums are local datums and should not be extended into areas that have differing hydrographic characteristics without substantiating measurements."Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Datums Stations) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Tides and Currents Map: an interactive map of all CO-OPS stationsGeoplatform: Not AvailableFor more information: Datums - Station Selection; Tides & Currents ProductsFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Water - Oceans & Coast Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Oceans & Coast is defined as "features and characteristics of salt water bodies (i.e. tides, tidal waves, coastal information, reefs) and features and characteristics that represent the intersection of the land with the water surface (i.e. shorelines), the lines from which the territorial sea and other maritime zones are measured (i.e. baseline maritime) and lands covered by water at any stage of the tide (i.e. Outer Continental Shelf ), as distinguished from tidelands, which are attached to the mainland or an island and cover and uncover with the tide."For other NGDA Content: Esri Federal Datasets

CityGML is an open data model and XML-based format for the storage and exchange of virtual 3D city models. It is an application schema for the Geography Markup Language version 3.1.1 (GML3), the extendible international standard for spatial data exchange issued by the Open Geospatial Consortium (OGC) and the ISO TC211. The aim of the development of CityGML is to reach a common definition of the basic entities, attributes, and relations of a 3D city model. Huom. INSPIRE BU-spesifikaatio (Rakennus-tietotuote) nojautuu tähän. (07.03.2013)

The Map Service (WFS Group) presents the digital spatial data from the field of conservation of the Saarland.:Protected landscape components. This term includes elements of nature and landscape that are protected for conservation, restoration and development. The landscape components are of further importance as habitats for certain wild animal and plant species.

The Map Service (WFS Group) presents data from the Saarland biotope cadastre: habitat types of the Saarland in terms of area; This is the basic unit of object detection in biotope mapping. The areas are uniform in terms of terrain shape, use and vegetation equipment. The acquisition is selective, i.e. this object class is used exclusively for the detection and evaluation of FFH habitat types. Each area of different type and assessment has its own demarcation. Viewing object in the GDZ; Export the area-based feature class GDZ2010.A_ngbt and the business table with the factual data (GDZ2010.ngbt) to the FileGDB. In addition to numerous internal database attributes, the following user-relevant attributes are available: IDENTIFIER: OSIRIS Usage Type INFORMATION DATE:Dateum of acquisition in OSIRIS Inclusion type FLAECHENANZAHL OFFIZIEL_FL: Area in ha (official) GEOGENAU: Geometric Accuracy GKRW: Legal value GKHW: High value InsDate: Date of takeover in DGZ

DCLG's INSPIRE OGC WMS Service under the terms of the the Public Sector End User Licence - INSPIRE http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/inspire-licence.html.

This Web Mapping Service, built using open source Geoserver, provides images of many of DCLG's geographic datasets over the internet.

The URL can be taken (from the metadata record or Data Resource details) and used in any GIS system.

Overview of the Disaster Risk Resilience InitiativeOverview | About | 2018-2019 Activities | 2020-2021 Activities | 2022-2023 Activities | Related ProjectsThe Open Geospatial Consortium (OGC) is working with the community to improve spatial data infrastructures to provide data and services that improve community resilience for disasters and climate. Geospatial information has been proven effective in supporting both the understanding of and response to disasters. However, the ability to effectively share, use, and reuse geospatial information and applications across and between governments and nongovernmental organizations in support of disaster response and resilience is dependent upon having the required partnerships, policies, standards, architecture, and technologies already in place when disaster strikes.Geospatial Data and Technology for Preparedness, Response, and RecoveryThe OGC Spatial Data Infrastructures for Disaster Resilience initiative was initiated in 2018 to understand how to best support the development of, or combination of SDI(s) for the use in disasters, to advance the understanding of stakeholder issues, and serve stakeholders’ needs.Quality, up-to-date geospatial data and tools are central to citizen access to governmental programs and, in addition, are an important means for Federal Agencies to interact and communicate with local communities and citizens. Geospatial data and tools also have the potential to save lives, limit damage, and reduce the costs of dealing with emergencies. Disasters point out the need for integrated solutions, including on-the-ground emergency response capabilities informed by geospatial tools and technologies. Geospatial applications are critical for preparedness activities, response to events, and post-disaster management. Geospatial tools play an increasing role in disaster response by improving communication through spatial data, providing capacity for interagency and intergovernmental approaches to address disasters, and facilitating long-term strategies for recovery efforts, risk reduction, restoration, and monitoring programs.In partnership with the OGC, the FGDC, the U.S. Department of Homeland Security (DHS), and the U.S. Geological Survey (USGS) initiated a concept development study to gather information from national and global stakeholders through surveys, workshops, and interviews. The FGDC participated in national and international conferences and engaged a variety of disasters committees, executives, and stakeholders to encourage participation. The FGDC co-led two well-attended workshops with more than 200 representatives from over 80 organizations, including Federal, State, local, academic, commercial, international, and other non-governmental organizations. The resulting study identified key challenges, gaps, needs, lessons learned, best practices, and other information critical for crafting a strategy to advance the use of geospatial data and services in disaster response, including the following:The lack of an integrated policy and operational framework to facilitate rapid acceptance, qualification, ingestion, and use of relevant geospatial information from a range of government and commercial providers and citizens.The inability with existing metadata approaches to quickly discover and understand which information sources are most useful in the context of a user’s need, especially for first responders.The inability to properly fuse and synthesize multiple data sources locally to derive the knowledge necessary for rapid disaster-response decisions.The need for a persistent platform to organize and manage disaster-related geospatial information and tools necessary for collaborating organizations to address the full disaster lifecycle—preparedness, response, and recovery.Over the next 5 years, the FGDC and other collaborators will engage the disasters community to address elements of the concept development study through workshops, pilots, and other initiatives. We will demonstrate how data standards help stakeholders and decision makers gain new and beneficial perspectives into social, economic, and environmental issues related to disasters by providing access to the vast online geospatial ecosystem of resources that improve the sharing, use, and integration of information tied to locations across the globe.From 2019-2023, OGC collaborators will engage the disasters community to address elements of the concept development study through workshops, pilots, and other initiatives. We will demonstrate how data standards help stakeholders and decision makers gain new and beneficial perspectives into social, economic, and environmental issues related to disasters by providing access to the vast online geospatial ecosystem of resources that improve the sharing, use, and integration of information tied to locations across the globe.

BGS soil property data layers including parent material, soil texture, group, grain size, thickness and European Soil Bureau description. These data are delivered under the terms of the Open Government Licence (http://www.nationalarchives.gov.uk/doc/open-government-licence/), subject to the following acknowledgement accompanying the reproduced BGS materials: Contains British Geological Survey materials copyright NERC [year]. Contact us if you create something new and innovative that could benefit others usingbgsdata@bgs.ac.uk.

These data contain the parameter estimation results described in "Beyond GWTC-3: Analysing and verifying new
gravitational-wave events from the 4-OGC Catalogue" in a format which is designed to be comparable to those used in GWTC catalogue parameter estimation data releases.

We have also included the posterior samples for the relevant events from the original [4-OGC](https://arxiv.org/abs/2112.06878) publication, which are made available under the terms of the CC-BY-SA 3.0 licence.

The results are presented in the same PESummary metafile format as the [GWTC-3](https://zenodo.org/doi/10.5281/zenodo.5546662) data release, however we do not provide mixed samples, as our analysis only contains results produced with the IMRPhenomXPHM waveform approximant.

The samples from our analysis are labelled as `C01:IMRPhenomXPHM` within the metafile, in keeping with the convention adopted in GWTC-3.
The samples from 4-OGC are labelled as `4-ogc`.

In addition, we provide the blueprints required to reproduce the various analyses using the asimov software.

These are contained in the YAML format files named OGC######_######.yaml for the various events.

Beyond GWTC-3 Samples

The samples from the "Beyond GWTC-3" publication are distributed according to the terms of the CC-BY 4.0 license.

4-OGC Samples

Note that the 4-OGC samples are redistributed under the terms of the CC-BY-SA 3.0 license. If you use the 4-OGC samples please cite the relevant publication:

@article{Nitz:2021zwj, author = {Nitz, Alexander H. and Kumar, Sumit and Wang, Yi-Fan and Kastha, Shilpa and Wu, Shichao and Sch\"afer, Marlin and Dhurkunde, Rahul and Capano, Collin D.}, title = "{4-OGC: Catalog of gravitational waves from compact-binary mergers}", eprint = "2112.06878", archivePrefix = "arXiv", primaryClass = "astro-ph.HE", month = "12", year = "2021" }

This research has made use of data or software obtained from the Gravitational Wave Open Science Center (gwosc.org), a service of the LIGO Scientific Collaboration, the Virgo Collaboration, and KAGRA. This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation, as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. KAGRA is supported by Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan Society for the Promotion of Science (JSPS) in Japan; National Research Foundation (NRF) and Ministry of Science and ICT (MSIT) in Korea; Academia Sinica (AS) and National Science and Technology Council (NSTC) in Taiwan.

The Map Service (WFS Group) presents data from the biotope cadastre of the Saarland.: Protected biotopes of the Saarland in terms of area. In this object class, areas that are protected in accordance with § 22 SNG in conjunction with § 30 BNatSchG are recorded and represented. Several biotope types can be grouped together in one GB area, provided that they form a meaningful functional unit, e.g. lime-half dry grasses and heat-loving bushes, used wet meadows and wet meadows, or mesotraphent meadows and large harrow meadows. Viewing object in the GDZ; Export the area-based feature class GDZ2010.A_nggbt and the business table with the factual data (GDZ2010.nggbt) to the FileGDB. In addition to numerous internal database attributes, the following user-relevant attributes are available: IDENTIFIER: OSIRIS identifier; NAME; PROJ_URSPRUNG: Project origin; TYPE OF USE; Date of acquisition in OSIRIS; RECORDING TYPE; FLAECHENANZAHL; OFFIZIEL_FL: Area in ha (official); GEOGENAU: Geometric accuracy; GKRW: Legal value; GKHW: High value; INSDATE: Date of takeover in DGZ; BEMERKNG;

The hydrogeological map indicates aquifer potential in generalised terms using a threefold division of geological formations: those in which intergranular flow in the saturated zone is dominant, those in which flow is controlled by fissures or discontinuities and less permeable formations including aquifers concealed at depth beneath covering layers. Highly productive aquifers are distinguished from those that are only of local importance or have no significant groundwater. Within each of these classes the strata are grouped together according to age or lithology. The 1:625 000 scale data may be used as a guide to the aquifers at a regional or national level, but should not be relied on for local information.

This is the Web Feature Server of DWD.:Auf Basis des BKG VG1000 Datensatzes definierte Bundesländer bzw. räumlich zusammengefasste Bundesländer für die räumlich abgeleitete Statistiken der meteorologischen Parameter bereitgestellt werden.

Monitoring Trends in Burn Severity in the Conterminous U.S.This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Forest Service (USFS), displays severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). Per the USFS, "The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships."Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Burned Area Boundaries (All Years)) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Monitoring Trends in Burn Severity Conterminous United States (Map Service)Geoplatform: Not AvailableFor more information: Monitoring Trends in Burn Severity from 1984-2018; MTBSFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Land Use Land Cover Theme Community. Per the Federal Geospatial Data Committee (FGDC), Land Use-Land Cover "is a term referring collectively to natural and man-made surface features that cover the land (Land Cover) and to the primary ways in which land cover is used by humans (Land Use). Examples of Land Cover may be grass, asphalt, trees, bare ground, water, etc. Examples of Land Use may be urban, agricultural, ranges, and forest areas."For other NGDA Content: Esri Federal Datasets

The hydrogeological map indicates aquifer potential in generalised terms using a threefold division of geological formations: those in which intergranular flow in the saturated zone is dominant, those in which flow is controlled by fissures or discontinuities and less permeable formations including aquifers concealed at depth beneath covering layers. Highly productive aquifers are distinguished from those that are only of local importance or have no significant groundwater. Within each of these classes the strata are grouped together according to age or lithology. The 1:625 000 scale data may be used as a guide to the aquifers at a regional or national level, but should not be relied on for local information.

Broads Authority INSPIRE Download Service. This service replicates the individual data sets listed under www.data.gov.uk. The data within this service is licenced under the terms outlined on the Broads Authority website (www.broads-authority.gov.uk/copyright.html).

The Geospatial Data Extraction Guide can be found here. The Geospatial Data Extraction Tool allows for the dynamic extraction of data from the Government of Canadas Open Data Portal. There is a selection of base layers including: Landsat mosaic Canadian Digital Surface Model Canadian Digital Elevation Model National Forest Inventory National Tiling System Grid Coverage National Parks Boundaries National Marine Conservation Areas Automatic Extraction Building Projects Limits The User can select the data to be extracted, including: CanVec Elevation Automatic Extraction Data CanVec CanVec contains more than 60 topographic features organized into 8 themes: Transport Features, Administrative Features, Hydro Features, Land Features, Manmade Features, Elevation Features, Resource Management Features and Toponymic Features.

This multiscale product originates from the best available geospatial data sources covering Canadian Territory. It offers quality topographic information in vector format complying with international geomatics standards. The document CanVec_Code in the Data Resourced section shows the list of entities and the scales at which they are available.The maximum extraction area is 150000km. Users are able to extract the following data:Lakes and rivers - Hydrographic featuresTransport networks - Transport featuresConstructions and land use - Manmade featuresMines, energy and communication networks - Resources Management FeaturesWooded areas, saturated soils and landscape - Land featuresElevation featuresMap Labels - Toponymic features (50K only)Output Options: OGC GeoPackage, ESRI file Geodatabase, ESRI ShapefileCoordinate System Options: NAD83 CSRS (EPSG:4617), WGS 84 / Pseudo-Mercator (EPSG:3857), NAD83 / Canada Atlas Lambert (EPSG:3979)Option to clip the data: Yes / NoScale Options: 1 / 50,000, 1 / 250,00ElevationElevation data consists of the Canadian Digital Elevation Model (CDDEM) and the Canadian Digital Surface Model (CDSM). These products are available for extraction along with their derived products (Shaded Relief, Color Shaded Relief, Color Relief, Slope Map*, Aspect Map* and Point Data). *Only available for CDEM.The maximum extraction area is 50000km. Users are able to extract the following data:Digital Elevation Model (DEM)Shaded ReliefColor ReliefColor Shaded ReliefSlope mapAspect mapPoint DataPick an azimuth between 0 and 360 Degrees: Direction of light source, between 0 and 360, measured in degrees, clockwise from the north.Pick an altitude between 0 and 90 degrees: Vertical direction of light source, from 0 (horizon) to 90 degrees (zenith).Enter a vertical exaggeration factor: Vertical exaggeration factor.Select the slope's measuring unit: Choice of degrees or percent slope.Coordinate System Options: NAD83 CSRS (EPSG:4617), WGS 84 / Pseudo-Mercator (EPSG:3857), NAD83 / Canada Atlas Lambert (EPSG:3979). Data is stored in geographic coordinates (longitude and latitude). However, it can also be offered in a plane coordinate projection (X and Y) at the time of extraction. Definition for the coordinate system can be found in the metadata.Select the DEM output formats: OGC GeoPackage, ESRI file Geodatabase, ESRI Shapefile. The source data (DEM or DSM) available formats are GeoTIFF and Esri ASCII Grid. The GeoTIFF format specification can be obtained from: https://www.pubdoc.org/fileformat/rasterimage/tiff/geotiff.pdf and https://geotiff.maptools.org/spec/geotiffhome.html.The Esri ASCII Grid format specification can be obtained from:https://desktop.arcgis.com/en/arcmap/10.3/manage-data/raster-and-images/esri-ascii-raster-format.htmSelect the Point Data output format: ASCII Gridded XYZ (xyz), ASCII Gridded CSV (.csv). The Point Data available formats are text CSV (.csv) (comma separated values) and text XYZ (.xyz) (space separated values). The format specification is the same for both (ASCII Gridded XYZ) and can be obtained from: https://www.gdal.org/frmt_xyz.htmlSelect the image resolution: 0.75 arc seconds, 1.5 arc seconds, 3 arc seconds, 6 arc seconds, 12 arc secondsEmail address (yourname@domain.com): When processed results will be deposited to the given email. The email information that you provide on this site is collected in accordance with the federal Privacy Act. You will be notified once your request has been processed and when it is ready for delivery. Informations about your privacy rights.The job status is listed and can be refreshed to see updates.Automatic Extraction DataThe maximum extraction area is 50000km. Users are able to extract the following data:BuildingsOutput Options: OGC GeoPackage, ESRI file Geodatabase, ESRI ShapefileCoordinate System Options: NAD83 CSRS (EPSG:4617), WGS 84 / Pseudo-Mercator (EPSG:3857), NAD83 / Canada Atlas Lambert (EPSG:3979)Email address (yourname@domain.com): When processed results will be deposited to the given email. The email information that you provide on this site is collected in accordance with the federal Privacy Act. You will be notified once your request has been processed and when it is ready for delivery. Informations about your privacy rights.The job status is listed and can be refreshed to see updates.

This service provides data implemented from ATKIS basic DLM for the INSPIRE topic Water Network (Hydro-Physical Waters). The topic of water network is defined in Annex I of the INSPIRE Directive this topic is as follows: ‘Elements of the water network, including marine areas and all other water bodies and associated subsystems, including river basins and sub-basins. Where appropriate, in accordance with the definitions laid down in Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy (2) and in the form of networks.’ In addition, the profile Hydrografie GDI-DE (www.geoportal.de) provides the following supplementary definition on the subject. “The data specification on hydrography focuses on the representation and description of standing and flowing waters or lakes, rivers and other waters. Depending on the application, there are thematic and geographical restrictions or different semantics: Geographically, all inland waters or above-ground water bodies in the inland are addressed. Topographically, the term ‘water network’ covers all waters flowing together from the source to the mouth.‘:A shallow part of a watercourse used as a transition.

Barrow Borough Council INSPIRE OGC WFS Service under the terms of the the Public Sector End User Licence - INSPIRE http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/inspire-licence.html. This service replicates the individual data sets listed under data.gov.uk Upon accessing the Licensed Data you will be deemed to have accepted the terms of the Public Sector End User Licence - INSPIRE

The Regional Plan South Hesse is the definition of spatial planning for the development of the planning region of South Hesse: