Yearly citation counts for the publication titled "Synchronising geometric representations for map mashups using relative positioning and Linked Data".

This resource contains a HydroShare Map Project file created using the HydroShare GIS web app. The Map Project file is in JSON format and contains data regarding the state of the project upon creating this resource.

National Library of Scotland Historic Maps APIHistorical Maps of Great Britain for use in mashups and ArcGIS Onlinehttps://nls.tileserver.com/https://maps.nls.uk/projects/api/index.htmlThis seamless historic map can be:embedded in your own websiteused for research purposesused as a backdrop for your own markers or geographic dataused to create derivative work (such as OpenStreetMap) from it.The mapping is based on out-of-copyright Ordnance Survey maps, dating from the 1920s to the 1940s.The map can be directly opened in a web browser by opening the Internet address: https://nls.tileserver.com/The map is ready for natural zooming and panning with finger pinching and dragging.How to embed the historic map in your websiteThe easiest way of embedding the historical map in your website is to copy < paste this HTML code into your website page. Simple embedding (try: hello.html):You can automatically position the historic map to open at a particular place or postal address by appending the name as a "q" parameter - for example: ?q=edinburgh Embedding with a zoom to a place (try: placename.html):You can automatically position the historic map to open at particular latitude and longitude coordinates: ?lat=51.5&lng=0&zoom=11. There are many ways of obtaining geographic coordinates. Embedding with a zoom to coordinates (try: coordinates.html):The map can also automatically detect the geographic location of the visitor to display the place where you are right now, with ?q=auto Embedding with a zoom to coordinates (try: auto.html):How to use the map in a mashupThe historic map can be used as a background map for your own data. You can place markers on top of it, or implement any functionality you want. We have prepared a simple to use JavaScript API to access to map from the popular APIs like Google Maps API, Microsoft Bing SDK or open-source OpenLayers or KHTML. To use our map in your mashups based on these tools you should include our API in your webpage: ... ...

This map is created and published by Stamen Design. These high-contrast B+W (black and white) maps are featured in Stamen's Dotspotting project. They are perfect for data mashups and exploring river meanders and coastal zones.

Network of 45 papers and 63 citation links related to "Synchronising geometric representations for map mashups using relative positioning and Linked Data".

Bus stops and routes are maintained by LeeTran staff in Remix. These layers were created by converting stops and routes from LeeTran's General Transit Feed Specification (GTFS) data set. The GTFS data set is publicly available from: https://www.leegov.com/leetran/gtfsUpdated June 2025.

This map provides current weather observations, watches, and warnings from NOAA nowCOAST. nowCOAST is a GIS-based web mapping portal displaying near real-time observations, analyses, tide predictions, model guidance, watches/warnings, and forecasts for the coastal United States.nowCOAST provides situational awareness on present and future environmental conditions for coastal and marine users by integrating data and information from across NOAA, other federal agencies and regional ocean and weather observing systems. For example, users can assess present conditions by creating maps of the latest in-situ weather/marine weather observations, weather radar reflectivity mosaics, cloud images from satellites, surface wind and sea-surface temperature analyses, and precipitation amounts for the last few hours. In terms of future conditions, users can obtain maps of critical weather and marine weather advisories, watches, and warnings, weather forecasts, tropical cyclone track and intensity forecasts, and forecast guidance of water levels, temperature, salinity, and currents from oceanographic forecast models.In addition, nowCOAST provides users with thousands of geo-referenced hyperlinks to observations, forecasts, forecast guidance, and forecast discussions located on web pages operated by NOAA and other federal agencies to obtain more detailed data and information. For example, users can obtain weather observations from buoys operated by NWS or regional ocean observing systems, NOS tide predictions at specific stations, river discharge observations at USGS gauges, river stage forecasts at NWS forecast locations, and NOS Harmful Algae Bloom forecasts for coastal waters.Users can display maps of this information using the nowCOAST interactive map viewer or by connecting to its map services. The interactive viewer allows users to zoom and pan, animate, chose different map backgrounds and overlays, click on mapped hyperlinks to obtain more detailed information, and even click at a point to obtain the latest weather or marine weather forecast for that specific location. The nowCOAST map services (REST and WMS) allow users to obtain maps from nowCOAST and create mashups with their own map layers such as coastal evacuation routes, critical infrastructure, or fishing areas.nowCOAST is designed to support recreational and commercial mariners and fishermen, coastal and emergency managers, first responders, and search and rescue operations. nowCOAST has been available to the public since August 2002. nowCOAST is monitored weekdays during regular business hours.www.noaa.gov

The World Hydro Basemap service is designed to be used as a base map by scientists, professionals, and researchers in the fields of Hydrology, Geography, Climate, Soils, and other natural sciences. The map features a hydro-centric design based on the amount of water flowing within the drainage network such that symbols of the same size and color represent roughly the same amount of water. This map shows surface water flow as a linear phenomenon even over and through bodies of water. Using the best available data we show relative flow accurately, so that if one river carries more water downstream than another river, the result will be that the river will have a thicker symbol on the map. This map is a mashup of the World Hydro Reference overlay, and the World Terrain base, which allows you to sandwich in content such as thematic services like soil units, vegetation, or ecoregions. This basemap provides a frame of reference for showing regional, national, and continental hydrologic phenomena such as drought, runoff, river level monitoring and flood forecasting.River names are collected in the UTF8 character set, so river names are collected in their original language, but are written in the Roman alphabet. Sources for all river names are from the open source geonames.org project so they are international by nature.The map is compiled from several sources. The global scales (very small scales through 1:2,300,000) include content from: HydroSHEDS, GTOPO30 Global Topographic Data, SRTM, GLWD, WorldClim, GRDC, and WWF Global 200 Terrestrial Eco Regions, with the latter three providing the inputs and basis for calculating flow. At medium scales (1:36,000 to 1:2,000,000) this service currently contains only U.S. data from the NHDPlusV2 that was jointly produced by the USGS and EPA. This work is licensed under the Web Services and API Terms of Use. View Summary | View Terms of Use HydroSHEDSThis product, the World Hydro Basemap, incorporates data from the HydroSHEDS database which is © World Wildlife Fund, Inc. (2006-2012) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within the World Hydro Basemap, and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS database incorporate data which are the intellectual property rights of © USGS (2006-2008) (data available from U.S. Geological Survey, EROS Data Center, SD), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The scientific citation for the HydroSHEDS database is: Lehner, B., Verdin, K., Jarvis, A. (2008): New global hydrography derived from spaceborne elevation data. Eos, Transactions, AGU, 89(10): 93-94.

The file "Census-Rural-Urban NTIA-Mashup.tab" is a listing of all US Census blocks with urban/rural designation, combined with data from the National Telecommunications and Information Administration s National Broadband Map project.

Ocean currents, sea surface temperature, and ocean floor relief.Ocean currents: Digitized by Joseph Kerski from http://blue.utb.edu/paullgj/geog3333/lectures/physgeog.html, original image made by Dr. Michael Pidwirny (see http://www.physicalgeography.netMean Sea Surface Temperature 2003-2007 (2008)http://downloads.wdpa.org/ArcGIS/rest/services/ocean_data_viewer/sea_surface_temp_yr_all/MapServerSea Surface Temperature from Commonwealth of Australia Bureau of Meteorology. This layer has currently been removed from the table of contents because it is slow to draw. However, it is useful and should be considered to be re-added in the future if it is served in a more responsive manner.Ocean floor relief: The World Hydro Basemap service is designed to be used as a base map by scientists, professionals, and researchers in the fields of Hydrology, Geography, Climate, Soils, and other natural sciences. The map features a hydro-centric design based on the amount of water flowing within the drainage network such that symbols of the same size and color represent roughly the same amount of water. This map shows surface water flow as a linear phenomenon even over and through bodies of water. Using the best available data we show relative flow accurately, so that if one river carries more water downstream than another river, the result will be that the river will have a thicker symbol on the map. This map is a mashup of the World Hydro Reference overlay, and the World Terrain base, which allows you to sandwich in content such as thematic services like soil units, vegetation, or ecoregions. This basemap provides a frame of reference for showing regional, national, and continental hydrologic phenomena such as drought, runoff, river level monitoring and flood forecasting.River names are collected in the UTF8 character set, so river names are collected in their original language, but are written in the Roman alphabet. Sources for all river names are from the open source geonames.org project so they are international by nature.The map is compiled from several sources. The global scales (very small scales through 1:2,300,000) include content from: HydroSHEDS, GTOPO30 Global Topographic Data, SRTM, GLWD, WorldClim, GRDC, and WWF Global 200 Terrestrial Eco Regions, with the latter three providing the inputs and basis for calculating flow. At medium scales (1:36,000 to 1:2,000,000) this service currently contains only U.S. data and that was derived from the NHDPlus program that was jointly produced by the USGS, EPA, and Horizon Systems. This work is licensed under the Web Services and API Terms of Use. View Summary | View Terms of Use

The World Hydro Basemap service is designed to be used as a base map by scientists, professionals, and researchers in the fields of Hydrology, Geography, Climate, Soils, and other natural sciences. The map features a hydro-centric design based on the amount of water flowing within the drainage network such that symbols of the same size and color represent roughly the same amount of water. This map shows surface water flow as a linear phenomenon even over and through bodies of water. Using the best available data we show relative flow accurately, so that if one river carries more water downstream than another river, the result will be that the river will have a thicker symbol on the map. This map is a mashup of the World Hydro Reference overlay, and the World Terrain base, which allows you to sandwich in content such as thematic services like soil units, vegetation, or ecoregions. This basemap provides a frame of reference for showing regional, national, and continental hydrologic phenomena such as drought, runoff, river level monitoring and flood forecasting.River names are collected in the UTF8 character set, so river names are collected in their original language, but are written in the Roman alphabet. Sources for all river names are from the open source geonames.org project so they are international by nature.The map is compiled from several sources. The global scales (very small scales through 1:2,300,000) include content from: HydroSHEDS, GTOPO30 Global Topographic Data, SRTM, GLWD, WorldClim, GRDC, and WWF Global 200 Terrestrial Eco Regions, with the latter three providing the inputs and basis for calculating flow. At medium scales (1:36,000 to 1:2,000,000) this service currently contains only U.S. data from the NHDPlusV2 that was jointly produced by the USGS and EPA. This work is licensed under the Web Services and API Terms of Use. View Summary | View Terms of Use HydroSHEDSThis product, the World Hydro Basemap, incorporates data from the HydroSHEDS database which is © World Wildlife Fund, Inc. (2006-2012) and has been used herein under license. WWF has not evaluated the data as altered and incorporated within the World Hydro Basemap, and therefore gives no warranty regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS database incorporate data which are the intellectual property rights of © USGS (2006-2008) (data available from U.S. Geological Survey, EROS Data Center, SD), NASA (2000-2005), ESRI (1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her Royal Majesty and the British Crown and are used under license. The scientific citation for the HydroSHEDS database is: Lehner, B., Verdin, K., Jarvis, A. (2008): New global hydrography derived from spaceborne elevation data. Eos, Transactions, AGU, 89(10): 93-94.

Geocoded Pubs in England with Food Hygiene Ratings

Establishments and their Location Information

By GetTheData [source]

About this dataset

This dataset - Geocoded Open Pubs in England, with Food Hygiene Ratings - contains data on open pubs located in England, such as their FSA ID, name, address and postcode, easting and northing coordinates for geographical mapping purposes, as well as latitude and longitude values. This information can be used to plot pubs onto a map or to create applications that allow you to locate the nearest pub. You can also mashup this data with other geocoded datasets for even more prospects of use. With this dataset you are able to link the pub with their corresponding data in the Food Standards Agency's Food Hygiene Ratings database and work out an efficient route should you want to embark upon an epic pub crawl around England!

The raw data used for this dataset comes from the Food Standard Agency's Food Hygiene Ratings database and is licensed under their terms & conditions. The local authority field is derived from the ONS Postcode Directory which is licenced under OGL (Open Government Licence). This open-data has been published by GetTheData (https://www.getthedata.com) thank you!

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How to use the dataset

• To get started with this data set you'll need to have some basic understanding of GIS systems (GPS) as well as knowledge on finding FSA ID's. With that said let's go through a few simple steps on how best to utilise this dataset:

• Take at look at the columns provided in the data set as they will provide you useful insight into what kind of information is available for each pub. This will let you narrow down certain pubs if it matches your purpose or location better than others.

• Once you've determined which pubs may fit your criteria use either easting/northing or lat/long (depending what platform you are using) along with other columns such as postal code or local authority for reference points - making sure to double check accuracy when referencing certain areas.

  • Making sure your referenced locations are correct allow them act like floor plans - pinning parks and buses stops around these points can further help locate some great points of interest within a given area e.,g parks nearby or bus stops leading up closer getting there!

  • With this close eye over specific areas it makes easier going tracking down information related places whether they be small scale (pubs) or large scale (town centres). Additional data sourced from such sources like OS Maps make plotting additional layers easier ensuring accuracy when pinpointing locations but also keeping track route paths taking guesses out off tricky situations finding right direction any situation providing routes between multiple points easily

• Hitting two birds one stone make effort successful poking around featured area especially selecting best displayed locations putting all pieces together combining datasets creating mashups applications expanding knowledge individual topics make understanding clear meet first goal achieving aspirations goals prospects far simpler task making complete process lot enjoyable bringing desired results forefront far quicker rate providing quality end product everytime respecting boundaries regulations policies standards privacy all times highest level appreciation recognition pick one best suited everyone occasion last statement something think thoroughly research upon ensuring confident before building individual or company related projects using geocoded based datasets obtain full understanding

Research Ideas

• Combining pubs and their respective food hygiene ratings to create an app that helps users select and rate pubs based on their last inspection rating.
• Creating an automated pub-crawling route planner to help guide pub crawls more efficiently, based on geographical locations of pubs in the dataset.
• Creating a web application that displays all Open Pubs at once with their addresses and contact details for customers to find easily, either by simply typing in the postcode or zooming in into an area on a map

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: open_pubs.csv | Column name | Description | |:-----------------------------------------------...

UK Hansard 1935-2014

The "uk_hansard_1935_2014_BvW_2022.tsv" is a metadata enriched version of the Hansard corpus. It is one of the outputs from Betto van Waarden's Marie Skłodowska-Curie project "Presenting Parliament: Parliamentarians’ visions of the communication and role of parliament within the mediated democracies of Britain, Belgium and the Netherlands, 1844-1995 ".

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 897761.

The project has been executed in collaboration with Mathias Johansson from the DigitalHistory@Lund platform, Lund University

Base corpora

The attached file is an agglomeration of two preexisting versions of the UK Hansard corpus: Political Mashup, provided to us by Kaspar Beelen and a .tsv file we received from Ludovic Rheault which itself is based on the Political Mashup corpus.

This corpus is based on the Rheault version and is reproduced with his written permission. The original corpus contained the following columns:

cabinet

function

parliament

party

party_in_power

speaker_id

speech_id

speech_text

topic

year

To which we have added the following columns:

date

times_in_house

seniority

district

district_class

Changed the 'year' column to 'date' as it contained the ISO8061-formatted date, leaving only the year in the 'year' column

Career

In the Political Mashup data there is information about which offices each speaker has held and using this data we have calculated how many terms a speaker has held office at the time of a speech times_in_house. From this we derived a column we call seniority: speakers that have been in office at most one time before the current parliament/round is classified as a junior - everyone else as a senior.

Districts

By cross referencing the speaker_ids against the Political Mashup we have extracted which district each speaker was representing. We have then mapped these districts against a classification of UK districts (Baker, 2018, accessed on 2021-07-12) that uses six classes which we reduced to three classes for simplicity's sake:

    Original
    Reduced




    Core City

Other City

    city


    Large Town

Medium Town

    town


    Small Town

Village or Smaller

    village

Mapping districts to one of the three classes was mostly done automatically by matching district names against the list, and districts that have split or merged over time were processed manually. Still, not all districts were resolved satisfactorily leaving 43,541 speeches without a district classification resulting in a coverage of 98.7%.

    class
    count




    town
    1,253,330


    city
    1,184,605


    village
    908,606


    N/A
    43,541

State Level Datasets for California is available from this website. These datasets include: Existing Vegetation, Fire History, FRID (Fire Return Interval Departure), and other California extent datasets. These datasets are zipped personal or file geodatabases created using ESRI ArcGIS 10.x software. Additional descriptive information, as well as data steward contact information for each geodatabase, can be found under the metadata link. These metadata files meet the Federal Geospatial Data Committee standards for structure and content.

Many other Forest Service geospatial datasets can be downloaded from the FSGeodata Clearinghouse, where datasets are available on a national level, covering all forests in the country. Datasets which are available in the FSGeodata Clearinghouse are not available here on the Pacific Southwest Region site.