{"data":{"id":"10.6084/m9.figshare.10005668","type":"dois","attributes":{"doi":"10.6084/m9.figshare.10005668","prefix":"10.6084","suffix":"m9.figshare.10005668","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Dillon, Whalen","givenName":"Whalen","familyName":"Dillon","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-8171-0407","nameIdentifierScheme":"ORCID"}],"affiliation":[]},{"name":"Hiatt, Drew","givenName":"Drew","familyName":"Hiatt","affiliation":[],"nameIdentifiers":[]},{"name":"Flory, S. Luke","givenName":"S. Luke","familyName":"Flory","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Data for Experimental manipulation of fuel structure to evaluate potential ecological effects of fire"}],"publisher":"figshare","container":{},"publicationYear":2022,"subjects":[{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"50103 Invasive Species Ecology","schemeUri":"http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E","subjectScheme":"FOR"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"60208 Terrestrial Ecology","schemeUri":"http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E","subjectScheme":"FOR"},{"subject":"70503 Forestry Fire Management","schemeUri":"http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E","subjectScheme":"FOR"},{"subject":"FOS: Agriculture, forestry and fisheries","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2022-01-06","dateType":"Created"},{"date":"2022-01-06","dateType":"Updated"},{"date":"2022","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["76150 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Data used for fitting models examining the effects of fuel structure and fuel load on fire temperature, flame height, rate of spread, and proportion of fuel consumed. Explanation of column names is below.\u003cbr\u003e\u003cbr\u003e\u003cb\u003efire_id:\u003c/b\u003e unique fire identifier\u003cb\u003estructure:\u003c/b\u003e fuel structure, either piled or standing\u003cb\u003etotal_biomass:\u003c/b\u003e fuel load in grams\u003cb\u003eavg_max_temp:\u003c/b\u003e maximum temperature in degrees Celsius as the average of the 5 highest temperatures (2 on either side of the peak)\u003cbr\u003e\u003cb\u003es_abv100:\u003c/b\u003e seconds temperature exceeded 100 degrees Celsius\u003cb\u003eavg_flame_ht:\u003c/b\u003e average flame height in centimeters\u003cbr\u003e\u003cb\u003erate_of_spread_ms:\u003c/b\u003e rate of fire spread in m/s\u003cbr\u003e\u003cb\u003ep_consumed:\u003c/b\u003e proportion of total biomass consumed\u003cbr\u003e\u003cb\u003epct_fuel_moisture:\u003c/b\u003e estimated fuel moisture\u003cb\u003eavg_air_temp:\u003c/b\u003e average ambient air temperature during experimental fires\u003cb\u003eavg_rh:\u003c/b\u003e average ambient relative humidity during fires\u003cb\u003eavg_wind_speed:\u003c/b\u003e average wind speed during fires\u003cbr\u003eThe included R script includes code used to analyze data and generate figures and tables\u003cbr\u003e\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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