20250228 14315700 1.0 ISO 19139 Metadata Implementation Specification GML3.2 FALSE tasmax_percentiles_tasmax_change.tif 002 138.525000 152.525000 -37.725000 -24.575000 1 64 FALSE LZW 1 TIFF TRUE continuous double precision nan 20250228 14315700 20250228 14315700 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 tasmax_percentiles_tasmax_change.tif Raster Dataset dataset 2 1 0 138.525000 -37.725000 138.525000 -24.575000 152.525000 -24.575000 152.525000 -37.725000 145.525000 -31.150000 280 0.050000 263 0.050000 Band_1 1.534515 0.901473 64 20250228 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