About: Tornadoes of 2016   Sponge Permalink

An Entity of Type : dbkwik:resource/xoykDFxJFBgF02W_HRnEzw==, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

This page documents the tornadoes and tornado outbreaks of 2016. Extremely destructive tornadoes form most frequently in the U.S., Bangladesh andEastern India, but they can occur almost anywhere under the right conditions. Tornadoes also appear regularly in neighboring southern Canada during the Northern Hemisphere's summer season, and somewhat regularly in Europe, Asia, Argentina, and Australia.

AttributesValues
rdf:type
rdfs:label
  • Tornadoes of 2016
rdfs:comment
  • This page documents the tornadoes and tornado outbreaks of 2016. Extremely destructive tornadoes form most frequently in the U.S., Bangladesh andEastern India, but they can occur almost anywhere under the right conditions. Tornadoes also appear regularly in neighboring southern Canada during the Northern Hemisphere's summer season, and somewhat regularly in Europe, Asia, Argentina, and Australia.
sameAs
dcterms:subject
Row 4 info
  • 1989(xsd:integer)
Row 7 title
  • Damage
Row 1 info
  • --01-02
Row 4 title
  • Tornadoes in the United States
Row 2 info
  • Dallas, TX
  • --04-23
  • EF5 tornado
Row 6 info
  • ~1,600
Row 1 title
  • Timespan
Row 5 info
  • 1567(xsd:integer)
Row 2 title
  • Maximum rated tornado
Row 6 title
  • Tornadoes
Row 5 title
  • Fatalities
Row 3 info
  • 350.0
Row 3 title
  • Highest winds
Row 7 info
  • $7 quadrillon
dbkwik:hypothetica...iPageUsesTemplate
Box Title
  • Tornadoes of 2016
Enhanced
  • yes
Total
  • 1989(xsd:integer)
F
  • 37(xsd:integer)
  • 39(xsd:integer)
  • 57(xsd:integer)
  • 89(xsd:integer)
  • 344(xsd:integer)
  • 1423(xsd:integer)
abstract
  • This page documents the tornadoes and tornado outbreaks of 2016. Extremely destructive tornadoes form most frequently in the U.S., Bangladesh andEastern India, but they can occur almost anywhere under the right conditions. Tornadoes also appear regularly in neighboring southern Canada during the Northern Hemisphere's summer season, and somewhat regularly in Europe, Asia, Argentina, and Australia.
Alternative Linked Data Views: ODE     Raw Data in: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3217, on Linux (x86_64-pc-linux-gnu), Standard Edition
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2012 OpenLink Software