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Sample GSM474028 Query DataSets for GSM474028
Status Public on Apr 09, 2010
Title JWY3_nc_t64
Sample type RNA
 
Channel 1
Source name pooled reference (all 120 samples)
Organism Saccharomyces cerevisiae
Characteristics reference: pooled reference (all 120 samples)
Extracted molecule total RNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name JWY3_nc_t64
Organism Saccharomyces cerevisiae
Characteristics elapsed time: 64h
genotype: positive, XDH1 present
media: no carbon source in Minimal
Extracted molecule total RNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol not provided
Description Simple annotation: Carbon sources, Time course
Image: http://smd.stanford.edu/MicroArray/gifs/2008-04/79156.gif
Data processing Agilent Feature Extraction
 
Submission date Nov 20, 2009
Last update date Apr 09, 2010
Contact name Gavin Sherlock
E-mail(s) sherlock@genome.stanford.edu
Phone 650 498 6012
Fax 650 724 3701
URL http://genetics.stanford.edu/~sherlock/
Organization name Stanford University
Department Genetics
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platform ID GPL9703
Series (2)
GSE19116 Xylose utilization timecourse
GSE19121 Xylose Utilization Gene in Saccharomyces cerevisiae

Data table header descriptions
ID_REF ID_REF
RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
RAW.G_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the green channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
RAW.R_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the red channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
RAW.G_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
RAW.R_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
RAW.G_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the green channel.; Type: integer; Scale: linear_scale
RAW.R_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the red channel.; Type: integer; Scale: linear_scale
RAW.G_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
RAW.R_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
COMPUTED.BG_PIX_CORRELATION Ratio of estimated feature Background covariance in Red Green space to product of feature Standard Deviation in Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumulative quantitation of the tendency of pixels belonging to a particular feature's Background in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
COMPUTED.BG_SUB_SIG_CORRELATION Ratio of estimated background subtracted feature signal covariance in Red Green space to product of background subtracted feature Standard Deviation in Red Green space.; Type: float; Scale: linear_scale
COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
COMPUTED.G_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw green mean signal; Type: float; Scale: linear_scale
COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
COMPUTED.G_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the green channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: gBGSubSignal (gMeansignal - gBGUsed); Type: float; Scale: linear_scale
COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
COMPUTED.R_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw red mean signal; Type: float; Scale: linear_scale
COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
COMPUTED.R_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the red channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: rBGSubSignal (rMeansignal - rBGUsed); Type: float; Scale: linear_scale
COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
COMPUTED.G_IS_GOOD_PM Feature passes gIsWellAboveBG and additionally the gPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its gDelCtrlSignal; Type: float; Scale: linear_scale
COMPUTED.G_IS_LOW_SPECIFICITY gPerfMatchSignal fails positive and significance t-test (0.01) versus its gDelCtrlSignal; and deletion control passes gIsWellAboveBG; Type: float; Scale: linear_scale
COMPUTED.R_IS_GOOD_PM Feature passes rIsWellAboveBG and additionally the rPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its rDelCtrlSignal; Type: float; Scale: linear_scale
COMPUTED.R_IS_LOW_SPECIFICITY rPerfMatchSignal fails positive and significance t-test (0.01) versus its rDelCtrlSignal; and deletion control passes rIsWellAboveBG; Type: float; Scale: linear_scale
COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
COMPUTED.G_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between green Mean signal and green background.; Type: float; Scale: linear_scale
COMPUTED.R_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between red Mean signal and red background.; Type: float; Scale: linear_scale
VALUE log10 ratio (REDsignal/GREENsignal)
VALUE_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
COMPUTED.PIX_CORRELATION Ratio of estimated feature covariance in Red Green space to product of feature Standard Deviation ion Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumultive quantitation of the tendency of pixels belonging to a particular feature in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
COMPUTED.ERROR_MODEL Indicates the error model that the user chose for feature extraction. Options: 0 (Propagated model chosen by user or by software) | 1 (Universal error model chosen by user of software).; Type: integer; Scale: linear_scale
COMPUTED.G_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the green channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
COMPUTED.R_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the red channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_FEAT_NON_UNIF_OL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
COMPUTED.R_IS_FEAT_NON_UNIF_OL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
COMPUTED.R_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the green channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
COMPUTED.R_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the red channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
COMPUTED.R_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature's background is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
COMPUTED.R_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature's background is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
COMPUTED.R_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
COMPUTED.G_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the green channel); Type: boolean; Scale: linear_scale
COMPUTED.R_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the red channel); Type: boolean; Scale: linear_scale
COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
COMPUTED.IS_NORMALIZATION Boolean flag which indicates if a feaure is used to measure dye bias. Options: 1 (Feature used) | 0 (Feature not used).; Type: boolean; Scale: linear_scale

Data table
ID_REF RAW.G_MEAN_SIGNAL RAW.G_MEDIAN_SIGNAL RAW.R_MEAN_SIGNAL RAW.R_MEDIAN_SIGNAL RAW.G_MEAN_BG RAW.G_MEDIAN_BG RAW.R_MEAN_BG RAW.R_MEDIAN_BG RAW.G_NUM_PIX RAW.R_NUM_PIX RAW.G_PIX_SDEV RAW.R_PIX_SDEV RAW.G_BG_NUM_PIX RAW.R_BG_NUM_PIX RAW.G_BG_PIX_SDEV RAW.R_BG_PIX_SDEV RAW.TOP RAW.BOT RAW.LEFT RAW.RIGHT RAW.POSITION_X RAW.POSITION_Y COMPUTED.BG_PIX_CORRELATION COMPUTED.BG_SUB_SIG_CORRELATION COMPUTED.G_BG_SD_USED COMPUTED.G_BG_SUB_SIGNAL COMPUTED.G_BG_SUB_SIG_ERROR COMPUTED.G_BG_USED COMPUTED.R_BG_SD_USED COMPUTED.R_BG_SUB_SIGNAL COMPUTED.R_BG_SUB_SIG_ERROR COMPUTED.R_BG_USED COMPUTED.G_DYE_NORM_SIGNAL COMPUTED.R_DYE_NORM_SIGNAL COMPUTED.G_IS_GOOD_PM COMPUTED.G_IS_LOW_SPECIFICITY COMPUTED.R_IS_GOOD_PM COMPUTED.R_IS_LOW_SPECIFICITY COMPUTED.G_NUM_SAT_PIX COMPUTED.R_NUM_SAT_PIX COMPUTED.G_PROCESSED_SIGNAL COMPUTED.R_PROCESSED_SIGNAL COMPUTED.G_PVAL_FEAT_EQ_BG COMPUTED.R_PVAL_FEAT_EQ_BG VALUE VALUE_ERROR COMPUTED.PIX_CORRELATION COMPUTED.P_VALUE_LOG_RATIO COMPUTED.DYE_NORM_CORRELATION COMPUTED.G_DYE_NORM_ERROR COMPUTED.R_DYE_NORM_ERROR COMPUTED.ERROR_MODEL COMPUTED.G_IS_FOUND COMPUTED.R_IS_FOUND COMPUTED.G_IS_FEAT_NON_UNIF_OL COMPUTED.R_IS_FEAT_NON_UNIF_OL COMPUTED.G_IS_FEAT_POPN_OL COMPUTED.R_IS_FEAT_POPN_OL COMPUTED.G_IS_SATURATED COMPUTED.R_IS_SATURATED COMPUTED.R_IS_WELL_ABOVE_BG COMPUTED.G_IS_WELL_ABOVE_BG COMPUTED.G_IS_BG_NON_UNIF_OL COMPUTED.R_IS_BG_NON_UNIF_OL COMPUTED.G_IS_BG_POPN_OL COMPUTED.R_IS_BG_POPN_OL COMPUTED.G_IS_POS_AND_SIGNIF COMPUTED.R_IS_POS_AND_SIGNIF COMPUTED.IS_USED_BG_ADJUST COMPUTED.IS_NORMALIZATION
1 1237.722 1241 824.8333 808.5 55.99064 54 63.50877 62 36 36 137.6444 158.1086 855 855 14.72384 13.76806 2628 2628 6676 6676 6676.62 2628.8 .0856684 0 14.7238 1008.34 102.532 229.385 13.7681 700.996 70.9798 123.837 424.197 1855.64 null null null null 0 0 424.1967 1855.641 -85.9417106631466 -93.5902798514673 .6409266241 .08631758752 -.0335825 -12.9484728804598 0 43.1341 187.894 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
2 133.0556 129 120.9167 115 56.028 54 63.972 63 36 36 48.40776 34.91326 750 750 13.98867 13.30029 2629 2629 6701 6701 6701.93 2629.15 .0288373 0 13.9887 -96.964 18.5837 230.02 13.3003 -3.22932 11.1433 124.146 13.4356 17.7963 null null null null 0 0 13.43562 17.79629 -20.4216737322887 -.343307805750609 0 .6131372412 .637186 0 0 13.1872 17.4877 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 116.0833 119 112.9167 108.5 55.356 53 62.59867 61 36 36 27.32803 27.27885 750 750 14.64424 13.72767 2629 2629 6727 6727 6727.53 2629.26 -.0556665 0 14.6442 -114.464 18.5837 230.548 13.7277 -11.702 11.1433 124.619 13.4356 17.7963 null null null null 0 0 13.43562 17.79629 -24.2098830960795 -2.09970116200833 0 .6131372412 .0291759 0 0 13.1872 17.4877 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 1065.231 1029 171.5897 172 62.32165 56 64.93293 63 39 39 217.7864 35.64423 656 656 23.86012 13.83662 2629 2629 6753 6753 6753.14 2629.72 -.0356997 0 23.8601 834.16 85.461 231.07 13.8366 46.4815 12.0739 125.108 261.942 164.841 null null null null 0 0 261.9421 164.8407 -80.2826490955638 -16.067854617069 -.2011408481 .1046772799 .639219 -1.26229433476801 0 26.8364 42.8185 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0
5 2513.378 2449 298.3784 304 66.87351 59 64.74851 64 37 37 423.4966 61.97282 672 672 28.58642 13.37048 2630 2630 6777 6777 6777.88 2630.05 .0754238 0 28.5864 2281.86 228.941 231.519 13.3705 172.766 20.5585 125.613 902.471 486.466 null null null null 0 0 902.4706 486.4663 -110.373710970704 -50.4229139609565 -.268380337 .06933228044 .535175 -3.96488516380187 0 90.5459 57.8879 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 2558.487 2429 1218.538 1231 59.23966 56 63.60628 62 39 39 494.5146 332.2075 701 701 17.26258 14.45324 2630 2630 6803 6803 6803.44 2630.03 .0122997 0 17.2626 2326.7 233.41 231.792 14.4532 1092.45 109.812 126.088 1097.12 2580.04 null null null null 0 0 1097.119 2580.044 -110.956425539413 -107.439296106061 .3713731684 .0705547336 .77419 -6.85001846183629 0 110.061 259.343 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 6159.897 6173 781.8718 772 59.2216 55 63.6676 62 39 39 1063.898 156.998 713 713 18.09397 14.42037 2629 2629 6829 6829 6829.06 2629.63 .0510535 0 18.094 5928.14 593.106 231.754 14.4204 655.241 66.4649 126.631 2893.26 1495.11 null null null null 0 0 2893.258 1495.107 -138.974657262241 -91.4856063363232 -.2867149157 .06701388429 .791805 -4.7253635549773 0 289.468 151.657 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 6486.711 6407.5 451.1053 457 61.98675 57 63.93078 63 38 38 1214.553 71.61752 679 679 21.09883 13.79708 2630 2630 6854 6854 6854.39 2630.05 -.00299251 0 21.0988 6255.27 625.803 231.444 13.7971 323.883 34.2517 127.222 2895.19 779.286 null null null null 0 0 2895.192 779.286 -140.584077253741 -69.5985081291098 -.5699804666 .08112156522 .69842 -11.6733428517566 0 289.647 82.4119 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null
10 661.4474 653 128 121.5 57.54092 54 64.07351 63 38 38 99.47774 32.21801 721 721 16.30989 13.70245 2630 2630 6905 6905 6905.03 2630.79 .0541008 0 16.3099 430.698 46.908 230.75 13.7024 -.512846 11.1433 128.513 147.751 36.8121 null null null null 0 0 147.7515 36.81215 -60.67778277334 -.0433101527827003 -.6035406286 .2153895571 .0821611 -2.29436784737514 0 16.0919 36.1739 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
11 396.2564 388 191.7692 192 61.00552 57 64.25552 63 39 39 74.83903 40.13757 724 724 18.02787 14.28139 2630 2630 6930 6930 6930.29 2630.84 .0586851 0 18.0279 165.773 24.903 230.483 14.2814 62.5398 12.7783 129.229 51.7453 223.121 null null null null 0 0 51.74529 223.1206 -33.5711430628904 -22.4733725811065 .6346687791 .1712693759 .486456 -3.67607203164409 0 7.77337 45.5887 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 12111.33 11725 3776.974 3539 59.53857 56 64.48035 64 39 39 2670.763 801.029 687 687 17.93569 13.63324 2631 2631 6955 6955 6955.85 2631.07 .0432645 0 17.9357 11881.2 1188.27 230.091 13.6332 3647.02 364.872 129.954 7077.52 6818.03 null null null null 0 0 7077.518 6818.027 -159.807622138906 -145.118368875445 -.01622229608 .06145406435 .928631 -.101384671902749 0 707.838 682.121 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 1847.487 1847 441.8974 448 62.34599 58 65.2391 64 39 39 293.826 61.51072 711 711 20.7723 14.76899 2630 2630 6981 6981 6981.32 2630.87 .101737 0 20.7723 1617.8 162.843 229.692 14.769 311.167 33.0518 130.731 657.011 853.264 null null null null 0 0 657.0114 853.2642 -100.077393898587 -68.3620422052572 .1135106139 .06489292065 .334506 -1.09551891403105 0 66.1332 90.6328 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 325.8537 317 154.9268 155 62.15116 57 64.06105 63 41 41 73.81821 38.203 688 688 21.14882 13.58736 2631 2631 7007 7007 7007 2631.27 .0282232 0 21.1488 96.8608 20.9565 228.993 13.5874 23.4025 11.3864 131.524 39.2163 64.3699 null null null null 0 0 39.21629 64.36993 -20.3983462639666 -6.19206333384061 .2152165334 .2776273718 .402352 -.35830589138586 0 8.48471 31.319 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 1
15 1370.919 1358 303.5405 321 62.61014 57 63.26957 62 37 37 214.1532 64.15762 690 690 22.01148 12.82391 2631 2631 7032 7032 7032.29 2631.3 .0787897 0 22.0115 1142.9 115.791 228.023 12.8239 171.13 20.4213 132.41 417.689 521.459 null null null null 0 0 417.6887 521.4589 -89.6840548317646 -50.1380553836036 .09636733353 .06988399829 .556117 -.774932005628691 0 42.3174 62.2267 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 8461.658 8588.5 2916.737 2878.5 63.1506 55 64.44729 63 38 38 957.5395 350.3024 664 664 25.2803 13.75931 2631 2631 7057 7057 7057.68 2631.61 .0791756 0 25.2803 8234.61 823.671 227.044 13.7593 2783.32 278.555 133.412 4608.23 5538.76 null null null null 0 0 4608.231 5538.76 -148.821938624046 -136.668518040481 .07987827964 .06188572946 .756386 -.705987145325393 0 460.94 554.32 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
17 2911.429 2940 252.0571 250 60.05603 56 63.71408 62.5 35 35 570.363 45.13245 696 696 19.45912 12.97857 2631 2631 7083 7083 7083.01 2631.89 .103896 0 19.4591 2685.27 269.169 226.157 12.9786 117.644 16.2042 134.413 1036.1 339.547 null null null null 0 0 1036.096 339.5467 -115.249196261925 -39.1460658491609 -.4845005486 .07922712541 .382264 -9.01613341365231 0 103.857 46.7687 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 297.8158 292 112.3947 113.5 57.37225 55 63.2706 63 38 38 52.35268 23.78228 728 728 15.16993 13.18807 2631 2631 7108 7108 7108.5 2631.95 .0459738 0 15.1699 72.5039 19.948 225.312 13.1881 -23.0124 11.1433 135.407 37.1351 24.6562 null null null null 0 0 37.13512 24.65625 -14.5881446942811 -6.03519842940872 -.1778578974 .3747731474 .34983 -.197164684080878 0 10.217 24.2288 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
19 4540.895 4347.5 542.3421 509 59.67784 57 64.41837 63.5 38 38 611.0285 162.9086 686 686 17.47531 14.60482 2631 2631 7133 7133 7133.88 2631.97 .116963 0 17.4753 4316.34 432.034 224.558 14.6048 405.676 42.0702 136.666 1973.5 988.091 null null null null 0 0 1973.501 988.0906 -129.467539920188 -76.5696233661649 -.3004405051 .06784658635 .418067 -5.02223912054109 0 197.533 102.469 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 521.0789 515 414.5 412 60.64689 56 64.78582 64 38 38 85.86456 46.81461 691 691 20.55688 13.62001 2632 2632 7159 7159 7159.13 2632.48 .144007 0 20.5569 297.193 35.0513 223.886 13.62 276.885 29.8467 137.615 99.2761 923.067 null null null null 0 0 99.27608 923.0672 -49.8595579546254 -64.7666611608131 .96838872 .1177739688 .298115 -15.7002453267641 0 11.7087 99.5017 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0

Total number of rows: 15744

Table truncated, full table size 6205 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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