The data relate to the quantification of tumor vascular trees on the basis of vascular signal, signal dipersion and vessel caliber. The data reported in the referenced file relate to untreated tumors obtained from xenografts of KMS-11 cells implanted on NOD/SCID mice. Tumor vascular trees were identified by in-vivo staining with sulphobiotin and representative image stacks were builded analyzing 100 micron thick slices at the laser scanning confocal microscope. Stacks were then turned isotropic, and filtered to eliminate noise or isolated particles with the enclosed 3DFilter ImageJ macro. Then vessels were divided into classes according to their projected cross-section following the logic protocol reported in the paper and using the enclosed vessel-calibrometry ImageJ macro. For each final image binary stack, reporting signal from vessels with a given caliber, we calculated: - the % amount of occupied volume - Vol% - (black voxels over total voxels of the stack *100). - the spatial dispersion of the signal calculated as the number of 3D dilation cycles needed to fill 90% of the volume. In this file we show also the figures relative to filling 95% or 99% of the volumes. These values were normalized according to the stack showing the highest Vol% value. Normalization deposited new voxels around those existing until each stack reached the same Vol% value. Only at this point we considered the number of dilation cycles necessary to fill the volume. These values were generally plotted as a z-projection of a Vol% vs. nH90% vs caliber graph, identifying results from vessels with different calibers with different symbols. Organization of this worksheet In addition to this read_me, this worksheet presents 32 consecutive sheets, one for each sample analyzed. The sheets are grouped by treatment and are named consequently using these abbreviations: Ctrl, control; CA4P, Combretastatin-A4-phosphate, Soraf, sorafenib; Suni, sunitinib. Following these 32 sheets there are 4 summary sheets called Controls, CA4P, Sorafenib and Sunitinib that calculate the descriptive statistics for each group of data (n=8). Finally, the last sheet presents the name of the graphs builded using the data presented or organized in the previous sheets. Contents of the sample sheet Each sheet presents data from top to bottom grouped according to the figure to which they refer. From top: Group 1: data from stacks containing input voxels classified according to vessel caliber and analyzed to collect percent volume and spatial distribution (nHv 90%) values. They are organized in the paper as Figure 5 panel A. The table lists both non-normalized and normalized data for 3 different values of volume filling, as obtained from the output file of our ImageJ plugin. Hv 95% and Hv 99% values were not used in the paper. Group 2: data from stacks containing voxels representing skeletonized vessels classified according to caliber of the represented vessel and analyzed to collect percent volume and spatial distribution (nHv 90%) values. They are organized in the paper as Figure 5 panel B. Group 3: ratio between input and skeletonized voxels, elaborated dividing V% values from Group 1 with V% values from Group 2. They are used for Figure 6 panel A. Group 4: report the luminal volumes of vessels calculated subtracting the binary map of hollow vessels from the corresponding map of filled vessels. They are divided for input voxels and the ratio is shown. They are used for Figure 6 panel B. The 2 samples used for normalizing input voxels and skeletonized voxels are marked with a bold NORM tag Contents of the summary sheet Each sheet presents Blocks of data from top to bottom summarizing the 4 sets of data from sample sheets. From top: Blocks 1 and 2: V% and nHv values related to input voxels (Group 1 data) classified according to vessel caliber (n=8). Block 1, left: quantile 25%, median and quantile 75% for percent Volume. Right: data organized for graphical rendering. Block 2, left: quantile 25%, median and quantile 75% for spatial distribution (nHv 90%). Right: data organized for graphical rendering. Blocks 3 and 4: V% and nHv values related to skeletonized voxels (Group 2 data) classified according to vessel caliber (n=8). Block 3, left: quantile 25%, median and quantile 75% for percent Volume. Right: data organized for graphical rendering. Block 4, left: quantile 25%, median and quantile 75% for spatial distribution (nHv 90%). Right: data organized for graphical rendering. Block 5: summary of input/skeletonized voxels for that treatment (Group 3 data). Data report averages and standard deviations for each class of cross section. Block 6: summary of luminal voxels/input voxels according to treatment (Group 4 data). Data report averages and standard deviations for each class of cross section. Special case only for CA4P samples: the 8 samples were divided according to the presence of intracellular staining of sulfobiotin in 2 sets of 4 samples. The page reports V% and nHv 90% medians, according to vessel caliber, calculated for each set. Contents of the Graphs sheet This page reports the name of the plots and histograms organized in 4 groups. From top to bottom: First group: plots related to input voxels. From top: 1) plot showing percent Volume on the X axis and spatial distribution on the Y axis. Treatments are color coded: black, untreated controls; red, CA4P; blue, sorafenib; green, sunitinib. Points of the same color refer to different classes of cross-sections and represent medians from 8 samples. Horizontal and vertical dotted lines represent IQR 25-75%. 2) similar to the previous plot, but points are connected with a line. Plots 3) to 6) are one for each treatment and report data from each sample (colored lines with symbols) plus the black line obtained connecting the median points to visualize the dispersion of data around the median. Second group: plots related to skeletonized voxels. From top, plots are arranged as in the first group. Third group. From top: 13) histogram representing the amount of input voxels for skeletonized voxel, according to vessel caliber. 14) histogram showing the amount of observed vascular lumen for input voxel, according to vessel caliber. Fourth group: plot showing data from 4 CA4P samples showing intracellular sulfobiotin staining (red) and from 4 samples with normal staining. The solid lines connect median values referring to different classes of cross-sections. Dotted lines connect values obtained from each independent sample. They are colored according to group code.