10.6084/m9.figshare.5948404.v1 Kyla Dahlin Kyla Dahlin Toby Ault Toby Ault GeoTIFFs for 'Global linkages between climate variability and the terrestrial biosphere' International Journal of Applied Earth Observations and Geoinformation, accepted figshare 2018 biosphere-atmosphere interactions teleconnections leaf area index (LAI) global ecology Ecological Impacts of Climate Change 2018-03-12 15:20:23 Dataset https://figshare.com/articles/dataset/GeoTIFFs_for_Global_linkages_between_climate_variability_and_the_terrestrial_biosphere_International_Journal_of_Applied_Earth_Observations_and_Geoinformation_accepted/5948404 These are the geoTIFFs behind the map-based figures in the article and supplement for Dahlin & Ault 2018 'Global linkages between climate variability and the terrestrial biosphere' International Journal of Applied Earth Observations and Geoinformation. Accepted 20180226. <div><br></div><div>See paper for more details.<br><div><br></div><div><div>All figs are </div><div>- global (lat -90 to 90, lon -180 to 180) geoTIFFs</div><div>- 0.25 x 0.25 degree resolution</div><div>- GCS WGS 1984</div><div><br></div><div>Correlation figs (Fig01 and b, d, & f of supplement figs) are</div><div>- floating point</div><div>- correlation (Pearson's R) values range up to -1 to 1</div><div>- No data values are NA/NoData</div></div><div><br></div><div>Correlation temporal location figs (Fig03 and a, c, & e of supplement figs) are</div><div><br></div><div>- unsigned integers</div><div><div>- No data values are NA/NoData</div><div>- note there are no significant R2s ranging from 0-0.1 so these are not included</div><div>- unsigned integers correspond to the following table (csv):</div><div>integer value,month,coefficient of determination range</div><div>1,JAN,>= 0.4</div><div>2,JAN,0.325-0.4</div><div>3,JAN,0.25-0.325</div><div>4,JAN,0.175-0.25</div><div>5,JAN,0.1-0.175</div><div>7,FEB,>= 0.4</div><div>8,FEB,0.325-0.4</div><div>9,FEB,0.25-0.325</div><div>10,FEB,0.175-0.25</div><div>11,FEB,0.1-0.175</div><div>13,MAR,>= 0.4</div><div>14,MAR,0.325-0.4</div><div>15,MAR,0.25-0.325</div><div>16,MAR,0.175-0.25</div><div>17,MAR,0.1-0.175</div><div>19,APR,>= 0.4</div><div>20,APR,0.325-0.4</div><div>21,APR,0.25-0.325</div><div>22,APR,0.175-0.25</div><div>23,APR,0.1-0.175</div><div>25,MAY,>= 0.4</div><div>26,MAY,0.325-0.4</div><div>27,MAY,0.25-0.325</div><div>28,MAY,0.175-0.25</div><div>29,MAY,0.1-0.175</div><div>31,JUN,>= 0.4</div><div>32,JUN,0.325-0.4</div><div>33,JUN,0.25-0.325</div><div>34,JUN,0.175-0.25</div><div>35,JUN,0.1-0.175</div><div>37,JUL,>= 0.4</div><div>38,JUL,0.325-0.4</div><div>39,JUL,0.25-0.325</div><div>40,JUL,0.175-0.25</div><div>41,JUL,0.1-0.175</div><div>43,AUG,>= 0.4</div><div>44,AUG,0.325-0.4</div><div>45,AUG,0.25-0.325</div><div>46,AUG,0.175-0.25</div><div>47,AUG,0.1-0.175</div><div>49,SEP,>= 0.4</div><div>50,SEP,0.325-0.4</div><div>51,SEP,0.25-0.325</div><div>52,SEP,0.175-0.25</div><div>53,SEP,0.1-0.175</div><div>55,OCT,>= 0.4</div><div>56,OCT,0.325-0.4</div><div>57,OCT,0.25-0.325</div><div>58,OCT,0.175-0.25</div><div>59,OCT,0.1-0.175</div><div>61,NOV,>= 0.4</div><div>62,NOV,0.325-0.4</div><div>63,NOV,0.25-0.325</div><div>64,NOV,0.175-0.25</div><div>65,NOV,0.1-0.175</div><div>67,DEC,>= 0.4</div><div>68,DEC,0.325-0.4</div><div>69,DEC,0.25-0.325</div><div>70,DEC,0.175-0.25</div><div>71,DEC,0.1-0.175</div></div><div><br></div><div><br></div></div>