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Sample GSM473918 Query DataSets for GSM473918
Status Public on Apr 09, 2010
Title JWY7_nc_t32
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 JWY7_nc_t32
Organism Saccharomyces cerevisiae
Characteristics elapsed time: 32h
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/2008-04/79254.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 1589.605 1580 2815.263 2774.5 56.35814 54 67.04535 66 38 38 222.0912 180.8923 860 860 14.73387 14.70055 139 139 6753 6753 6753.9 139.756 .0383596 0 14.7339 1449.82 145.568 139.781 14.7006 2683.05 268.564 132.216 1288.28 3226.29 null null null null 0 0 1288.285 3226.29 -112.687076180407 -133.746330099517 .398691506 .07156712845 .154295 -7.59608448003107 0 129.349 322.941 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
2 140.8529 135.5 126.5588 132 56.22043 54 65.37097 64 34 34 37.35914 16.45783 744 744 14.46134 14.10362 140 140 6779 6779 6779.3 140.524 -.00612272 0 14.4613 .744856 13.0403 140.108 14.1036 -6.00434 11.7943 132.563 14.4058 11.8091 null null null null 0 0 14.40578 11.8091 -.0543600943785011 -.721671758723704 0 .6086290982 .174657 0 0 14.1616 11.6044 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 149.5 149.5 143.075 140 56.47541 55 66.02049 65 40 40 34.75039 26.42492 732 732 13.82302 14.26621 140 140 6804 6804 6804.93 140.368 -.00383013 0 13.823 9.03454 13.0714 140.465 14.2662 10.1738 11.8381 132.901 14.4058 11.8091 null null null null 0 0 14.40578 11.8091 -1.1204602998927 -1.55297693112598 0 .6104041014 -.0349177 0 0 14.1953 11.6474 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 695.2 688 268.4571 263 63.25937 57 66.89505 65 35 35 67.07801 44.16636 667 667 21.9076 15.18458 140 140 6829 6829 6829.86 140.278 .149263 0 21.9076 554.393 56.9523 140.807 15.1846 135.12 17.9354 133.337 375.539 213.135 null null null null 0 0 375.5387 213.1347 -82.2892709899512 -41.4971524461663 -.2460005431 .07246580611 .120947 -3.16303808285595 0 38.5787 28.2909 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 3004.892 2979 1597.054 1595 62.18862 57 66.85479 66 37 37 247.006 156.9989 668 668 21.41873 14.13826 140 140 6855 6855 6855.12 140.432 .194923 0 21.4187 2863.78 286.674 141.115 14.1383 1463.25 146.8 133.804 2559.82 1749.12 null null null null 0 0 2559.822 1749.119 -134.257464963212 -114.795516447939 -.1653904109 .06335960684 .366385 -2.04358646140638 0 256.247 175.479 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 2987.385 2971 2932.256 2839 57.07371 55 67.2573 65 39 39 352.0616 397.7123 719 719 14.5597 14.89749 140 140 6880 6880 6880.78 140.176 .0841253 0 14.5597 2846.04 284.902 141.349 14.8975 2798.16 280.064 134.097 2671.55 3185.08 null null null null 0 0 2671.554 3185.08 -134.060490232077 -135.059648897204 .07635647876 .06187190265 .795103 -.663213255877433 0 267.436 318.791 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
7 4656.9 4680 2668.175 2677 60.10184 57 66.49081 65 40 40 323.3018 307.2411 707 707 17.66788 15.33796 140 140 6906 6906 6906.5 140 .138312 0 17.6679 4515.4 451.728 141.504 15.338 2533.86 253.66 134.317 4346.72 2812.47 null null null null 0 0 4346.717 2812.474 -148.691612754964 -131.9577987011 -.1890728574 .06384116809 .486992 -2.51423347210762 0 434.853 281.552 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 4799.053 4857 1896.184 1897 73.37885 61 70.12041 68 38 38 549.4276 251.9078 681 681 35.51926 17.6417 140 140 6931 6931 6931.55 140.1 .421068 0 35.5193 4657.35 465.918 141.7 17.6417 1761.66 176.56 134.523 4381.21 2000.96 null null null null 0 0 4381.209 2000.963 -149.672888428433 -120.595684668337 -.3403548879 .06892106388 .791743 -6.10350226754101 0 438.293 200.544 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
10 867.4571 869 509.6857 510 60.03771 57 67.33799 66 35 35 85.40538 79.58265 716 716 17.106 14.90718 140 140 6982 6982 6982.57 140.569 .0580161 0 17.106 725.074 73.6707 142.383 14.9072 374.722 39.2845 134.964 519.294 559.048 null null null null 0 0 519.2943 559.0483 -90.7598652764014 -72.3508355817561 .0320357588 .06354913585 .144047 -.21170147502936 0 52.7626 58.6086 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
11 423.0541 416 359 354 60.2613 57 66.13418 65 37 37 66.08158 69.53736 708 708 18.26981 15.31029 140 140 7007 7007 7007.41 140.362 .126518 0 18.2698 280.365 30.9207 142.689 15.3103 223.752 25.2934 135.248 189.564 353.596 null null null null 0 0 189.5636 353.5958 -60.9423681237991 -56.5149660406432 .2707522275 .07445625397 .336388 -3.55833310227203 0 20.9065 39.9712 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 14741.16 14454 12036.89 11927 59.24891 56 66.14847 66 37 37 1525.925 1441.84 687 687 16.71343 14.50148 140 140 7033 7033 7033.25 140.413 .114604 0 16.7134 14598.4 1459.89 142.807 14.5015 11901.4 1190.2 135.511 16885.2 10994.3 null null null null 0 0 16885.18 10994.29 -185.891725956322 -180.325086526717 -.1863387366 .06373743158 .906441 -2.46082460384643 0 1688.59 1099.48 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 1813.081 1839 745.3784 740 60.14878 57 65.76109 65 37 37 200.067 104.0778 699 699 18.2941 14.58387 140 140 7058 7058 7058.8 140.492 .0965595 0 18.2941 1670.2 167.529 142.876 14.5839 609.644 62.0948 135.735 1333.68 815.769 null null null null 0 0 1333.676 815.7687 -117.16989079526 -87.4687536204828 -.213483376 .06491285595 .219009 -2.99728702331186 0 133.773 83.0895 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 349.9444 347.5 423.4722 416 61.4858 57 67.35277 66 36 36 58.31145 56.91472 669 669 20.22668 14.98526 141 141 7084 7084 7084.76 141.014 .175285 0 20.2267 206.999 24.4649 142.945 14.9853 287.525 31.0776 135.947 139.912 454.529 null null null null 0 0 139.9122 454.5288 -51.6194740088719 -64.1805653098396 .5117056396 .08430922574 .184663 -8.89144730648195 0 16.536 49.1283 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 1364.364 1391 1594.061 1588 62.43043 58 68.41159 67 33 33 127.9956 177.2128 690 690 20.93064 16.29175 140 140 7109 7109 7109.46 140.542 .17366 0 20.9306 1221.34 122.828 143.024 16.2917 1457.86 146.262 136.202 1020.59 1864.11 null null null null 0 0 1020.594 1864.106 -107.255707016877 -114.680177997317 .261617783 .06616600279 .212524 -4.11425441870038 0 102.639 187.02 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 4088.718 4157 1305.103 1293 62.83562 58 67.16438 65 39 39 319.8082 159.4087 657 657 22.29433 16.06211 140 140 7135 7135 7135.06 140.54 .153739 0 22.2943 3945.51 394.767 143.205 16.0621 1168.61 117.455 136.488 3553.53 1386.39 null null null null 0 0 3553.527 1386.395 -144.414803311543 -107.770981494128 -.4087726473 .07203111663 .362698 -7.85782031091204 0 355.547 139.344 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 2194.316 2198.5 650.6316 640 59.98485 58 65.33333 64 38 38 302.4234 78.39623 726 726 16.72103 14.1799 140 140 7160 7160 7160.25 140.627 -.0233819 0 16.721 2050.93 205.507 143.383 14.1799 513.852 52.7214 136.779 1642.55 685.555 null null null null 0 0 1642.55 685.5555 -123.676686009538 -82.1485649110442 -.3794759619 .07097339886 .564569 -7.04791044498636 0 164.587 70.3382 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 321.3611 328 230.5278 224 57.69761 55 65.81034 65 36 36 69.26519 50.40776 754 754 15.46667 14.52661 140 140 7185 7185 7185.8 140.636 -.00957096 0 15.4667 177.868 22.0548 143.493 14.5266 93.4097 15.0452 137.118 124.587 142.491 null null null null 0 0 124.5871 142.4914 -47.0370106863776 -31.1691336512567 .05831556163 .09010867477 .49936 -.286070827522582 0 15.4482 22.9507 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
19 3829.389 3871.5 2164.833 2123.5 58.13788 55 65.99855 65 36 36 316.9621 201.6793 689 689 15.92469 14.80577 141 141 7211 7211 7211 141 .0921441 0 15.9247 3685.79 368.809 143.602 14.8058 2027.3 203.073 137.529 3443.9 2318.3 null null null null 0 0 3443.904 2318.301 -142.256226916295 -124.985643297604 -.1718811334 .06345481251 .370943 -2.17041380678959 0 344.606 232.222 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 447.5676 450 528.0541 531 61.92635 58.5 67.95751 66 37 37 82.39186 50.63812 706 706 19.66745 16.0625 140 140 7236 7236 7236.35 140.577 .173341 0 19.6675 303.828 33.063 143.739 16.0625 390.07 40.7511 137.984 208.063 608.621 null null null null 0 0 208.0634 608.6205 -63.4373265510241 -73.5936318683178 .4661509877 .07854700079 -.127053 -8.53102290470524 0 22.6417 63.5833 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 6195 Kbytes.




Supplementary data files not provided
Processed data included within Sample table

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