ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Sample dataset
A without development model scenario is created by starting with a current conditions model scenario and switching off as much development in the model as possible. Typically this means removing all water users such as irrigation and towns along with infrastructure such as dams and weirs. A without development scenario is useful in understanding the extent to which human uses of the river have altered flows. This type of model scenario is sometimes known and a “natural case” but this termi
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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An example map with geographical information of the points of sale, parking garages and P&R places.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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TRADE DASHBOARD: The Trades dashboard is an initiative by the NSW Department of Planning and Environment—Water to bring greater transparency to the water market participants in relation to information on the dealings in the water markets. Annual accounting planned environment water information and data by water source that is presented by the Public Trade Dashboard. NB: This Public Trade Dashboard is updated on a daily basis and can be accessed through: https://www.industry.nsw.gov.au/wate
Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
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This is a recording of the UTexas Heatseeker student team video demo for a multi-touch and multicriteria decision support application for geospatial problems. The original video can be found on Youtube at https://youtu.be/SUhtSnl_ZRM?si=INb6GPrkKECwduqz Demo Video of the UT Austin Heat Seeker's Multi-attribute Decision Support Model Application created as part of the DOE EERE National Student Geothermal Competition. in this demo, the model is used to assess site suitability for geothermal power production in the eastern Snake River Plain, Idaho.
Just a simple demo upload.
A dataset containing the countries of the world
The fundamental input data of work undertaken by Water Modelling Team is climate data in the form of daily rainfall and potential evapotranspiration. This data is input to water models of varying types, purposes, and complexity. The water models transform this input data to produce a range of water related modelled data. The stochastic climate data and palaeo stochastic climate data include 10,000 replicates of 130-yr daily data sets of rainfall and potential evapotranspiration generated usin
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Data to be shared among URCLIM partners can be distributed and accessed through an URL http://gofile.me/1QXHe/xIfHlEXD
Number of COVID19 reported cases by country, 2020
Video of Mongol Empire expansion and contraction over time.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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There exists across the State of NSW, a range of ecological data collected under various environmental flows projects since 1995. Most of this data is not stored in secure and available locations that may be used for long term data sets. This site is designed as an umbrella for this historic data to be stored and available into the future. One of the major projects that collected relevant data since that time is the Integrated Monitoring of Environmental Flows (IMEF) program consists of ecologic
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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large csv for test
A dataset containing the countries of the world
Diffusion Index in Japan The survey item included are the current condition and outlook of the economy (two to three months ahead compared to the current situation).
Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Hunter Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies. The
http://dcat-ap.de/def/licenses/geonutz/20130319http://dcat-ap.de/def/licenses/geonutz/20130319
The DWD creates so-called basic warnings in four different stages. The smallest geographical units are the municipalities and, for selected cities, the city districts. However, there are also warnings at district level or in the form of combined municipalities (joined polygons).
CAP documentation: https://www.dwd.de/DE/dienstleistungen/opendata/help/warnings/cap_dwd_profile_de_pdf.pdf?_blob=publicationFile&v=7
GeoServer-Layer: dwd:Warnungen_Gemeinden_vereinigt
Further information on weather warnings:
- https://www.dwd.de/DE/dienstleistungen/opendata/hilfe.html
- "https://maps.dwd.de/geoserver/web/?wicket: bookmarkablePage=:org.geoserver.web.demo.MapPreviewPage" target="_blank">https://maps.dwd.de/geoserver/web/?wicket:bookmarkablePage=:org.geoserver.web.demo.MapPreviewPage</ a
- https://www.dwd.de/DE/PERFORMANCES /warnings/weather warnings.html
- https:/ /www.dwd.de/DE/wetter/warnings_current/criteria/warning criteria.html
Lorem ipsum dolor testing dataset
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
Sample dataset