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Sample GSM491384 Query DataSets for GSM491384
Status Public on Jun 08, 2010
Title Scerev_Sparad_F2_hybrid P6A2
Sample type genomic
 
Channel 1
Source name Scerev+Sparad_gDNA
Organism Saccharomyces cerevisiae
Characteristics reference: S.cerevisiae+S.paradoxus genomic DNA
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name P6A2 gDNA
Organism Saccharomyces cerevisiae
Characteristics genotype: F2
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Agilent
Description Image: http://smd.stanford.edu/MicroArray/gifs/2008-07/80481.gif
Data processing Agilent Feature Extraction
 
Submission date Dec 28, 2009
Last update date Jun 08, 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 GPL9835
Series (1)
GSE19683 Speciation

Data table header descriptions
ID_REF ID_REF
AGILENT_RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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
AGILENT_COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
AGILENT_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
AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
AGILENT_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
AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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(REDsignal/GREENsignal); Type: float; Scale: linear_scale
AGILENT_COMPUTED.LOG_RATIO_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
AGILENT_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 AGILENT_RAW.G_MEAN_SIGNAL AGILENT_RAW.G_MEDIAN_SIGNAL AGILENT_RAW.R_MEAN_SIGNAL AGILENT_RAW.R_MEDIAN_SIGNAL AGILENT_RAW.G_MEAN_BG AGILENT_RAW.G_MEDIAN_BG AGILENT_RAW.R_MEAN_BG AGILENT_RAW.R_MEDIAN_BG AGILENT_RAW.G_NUM_PIX AGILENT_RAW.R_NUM_PIX AGILENT_RAW.G_PIX_SDEV AGILENT_RAW.R_PIX_SDEV AGILENT_RAW.G_BG_NUM_PIX AGILENT_RAW.R_BG_NUM_PIX AGILENT_RAW.G_BG_PIX_SDEV AGILENT_RAW.R_BG_PIX_SDEV AGILENT_RAW.TOP AGILENT_RAW.BOT AGILENT_RAW.LEFT AGILENT_RAW.RIGHT AGILENT_RAW.POSITION_X AGILENT_RAW.POSITION_Y AGILENT_COMPUTED.BG_PIX_CORRELATION AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION AGILENT_COMPUTED.G_BG_SD_USED AGILENT_COMPUTED.G_BG_SUB_SIGNAL AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR AGILENT_COMPUTED.G_BG_USED AGILENT_COMPUTED.R_BG_SD_USED AGILENT_COMPUTED.R_BG_SUB_SIGNAL AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR AGILENT_COMPUTED.R_BG_USED AGILENT_COMPUTED.G_DYE_NORM_SIGNAL AGILENT_COMPUTED.R_DYE_NORM_SIGNAL AGILENT_COMPUTED.G_IS_GOOD_PM AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY AGILENT_COMPUTED.R_IS_GOOD_PM AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY AGILENT_COMPUTED.G_NUM_SAT_PIX AGILENT_COMPUTED.R_NUM_SAT_PIX AGILENT_COMPUTED.G_PROCESSED_SIGNAL AGILENT_COMPUTED.R_PROCESSED_SIGNAL AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG VALUE AGILENT_COMPUTED.LOG_RATIO_ERROR AGILENT_COMPUTED.PIX_CORRELATION AGILENT_COMPUTED.P_VALUE_LOG_RATIO AGILENT_COMPUTED.DYE_NORM_CORRELATION AGILENT_COMPUTED.G_DYE_NORM_ERROR AGILENT_COMPUTED.R_DYE_NORM_ERROR AGILENT_COMPUTED.ERROR_MODEL AGILENT_COMPUTED.G_IS_FOUND AGILENT_COMPUTED.R_IS_FOUND AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.G_IS_FEAT_POPN_OL AGILENT_COMPUTED.R_IS_FEAT_POPN_OL AGILENT_COMPUTED.G_IS_SATURATED AGILENT_COMPUTED.R_IS_SATURATED AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.G_IS_BG_POPN_OL AGILENT_COMPUTED.R_IS_BG_POPN_OL AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF AGILENT_COMPUTED.IS_USED_BG_ADJUST AGILENT_COMPUTED.IS_NORMALIZATION
1 876.5526 889.5 2292.132 2272.5 67.47736 67 43.32681 43 38 38 78.11831 221.3642 817 817 11.84985 10.66489 2595 2595 358 358 358.592 2595.91 .0665854 0 11.8498 -343.654 388.453 1220.21 10.6649 263.052 328.713 2029.08 -75.4841 44.9698 null null null null 0 0 84.86102 55.70643 -1.66035580255277 -1.42754431193063 0 .6405988379 -.194865 0 0 85.3241 56.1948 1 1 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0
2 1653.829 1698 2305.927 2295 67.71283 67 45.23907 45 41 41 172.7129 212.4105 686 686 12.84156 12.94586 2596 2596 384 384 384.027 2596.28 .141126 0 12.8416 444.748 390.991 1209.08 12.9459 273.857 328.801 2032.07 96.5937 46.744 null null null null 0 0 96.59373 55.61955 -2.51467330797061 -1.51936507853836 -.2397214259 .5955166997 -.696092 -.16286375347604 0 84.9184 56.1222 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0
3 1708.079 1732 2280.289 2276.5 69.11008 68 45.63101 45 38 38 161.4345 207.7725 645 645 13.14274 14.39473 2596 2596 409 409 409.071 2596.8 .124054 0 13.1427 509.777 391.784 1198.3 14.3947 245.511 328.577 2034.78 109.444 41.7775 null null null null 0 0 109.4436 55.44944 -3.15599403146048 -1.28435760481106 -.2952930331 .552366734 -.491634 -.226997111243312 0 84.1116 55.9125 1 1 1 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0
4 5018.243 4982 6591.432 6326 68.16508 67 46.47143 45 37 37 1073.814 1269.24 630 630 12.65469 15.81214 2597 2597 434 434 434 2597 .189454 0 12.6547 3830.01 545.514 1188.24 15.8121 4554.05 561.029 2037.39 812.773 771.665 null null null null 0 0 812.7734 771.665 -91.7719796868691 -140.684407466208 -.02254072273 .08213616587 .457455 -.105820614896949 0 115.765 95.0641 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
5 6632.513 6799 9084.333 9479 67.94136 66 48.00792 45 39 39 1334.687 1918.72 631 631 12.66145 18.80007 2597 2597 458 458 458.581 2597.11 .132568 0 12.6615 5453.97 669.592 1178.54 18.8001 7045.29 776.995 2039.04 1143.98 1187.42 null null null null 0 0 1143.982 1187.422 -141.019319112065 -216.267821027776 .01618574922 .07155070547 .554636 -.0856382113063706 0 140.448 130.956 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
6 6912.923 7259 14457.08 15275 67.95625 66 51.06094 46 39 39 1479.228 2447.384 640 640 12.67375 25.44609 2597 2597 484 484 484.189 2597.39 .234407 0 12.6738 5743.73 693.398 1169.19 25.4461 12417 1284.21 2040.03 1189.76 2078.5 null null null null 0 0 1189.758 2078.499 -149.177282859175 -308 .2422912214 .07048213354 .645261 -3.23148221609853 0 143.631 214.965 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
7 2365.243 2389 3615.432 3587 68.90506 67 50.41772 46 37 37 509.0784 544.0052 632 632 13.73592 23.98017 2598 2598 510 510 510 2598 .322298 0 13.7359 1204.3 406.693 1160.95 23.9802 1573.07 363.463 2042.36 246.208 261.168 null null null null 0 0 246.2079 261.1675 -14.2310660578132 -30.5833894450382 .02561724314 .1759248448 .509588 -.0534369330884164 0 83.1447 60.3435 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
8 2706.744 2737 3557.769 3562 68.44356 67 49.25596 46 39 39 388.6638 592.6752 629 629 14.02257 20.59357 2598 2598 535 535 535.347 2598.07 .19778 0 14.0226 1553.95 418.382 1152.8 20.5936 1512.4 360.879 2045.37 313.687 248.892 null null null null 0 0 313.6874 248.8918 -22.2974006040876 -28.6022007255403 -.1004865039 .1601177701 .352335 -.275494786542003 0 84.4565 59.3888 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
9 8959.053 9103.5 18132.13 18284 68.36615 67 48.64462 47 38 38 1673.123 3174.354 650 650 12.40662 18.06438 2597 2597 560 560 560.873 2597.95 .167935 0 12.4066 7811.88 872.44 1147.17 18.0644 16085 1641.54 2047.12 1556.88 2621.47 null null null null 0 0 1556.883 2621.469 -201.637379945059 -308 .2262887486 .06782137124 .615898 -3.07146035078583 0 173.874 267.531 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
10 4666.579 4477 4427.842 4268 68.1168 67 47.2192 46 38 38 1026.448 1040.921 625 625 12.60459 15.64198 2598 2598 585 585 585.867 2598.57 .0926941 0 12.6046 3524.34 524.505 1142.24 15.642 2379.39 404.938 2048.46 693.155 383.655 null null null null 0 0 693.1554 383.6554 -81.9903196941377 -59.6686212985875 -.2568892146 .1013320395 .652085 -1.94920375361729 0 103.158 65.2927 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
11 5903.026 6283.5 12310.97 12409.5 68.39969 67 52.46082 47 38 38 1266.884 2408.839 638 638 13.46657 28.72455 2598 2598 611 611 611.292 2598.63 .299221 0 13.4666 4767.51 614.969 1135.52 28.7245 10260.7 1077.12 2050.27 925.421 1635.76 null null null null 0 0 925.4212 1635.765 -120.888236924475 -289.573308226764 .2473813496 .07283081103 .661669 -3.16612529931999 0 119.372 171.714 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
12 11259.03 11747.5 26364.95 26820.5 67.98281 67 50.06875 46 40 40 1833.95 3630.484 640 640 13.61009 22.67595 2598 2598 636 636 636.905 2598.73 .203138 0 13.6101 10124.5 1084.41 1134.54 22.676 24314.1 2453.38 2050.9 1939.2 3829.34 null null null null 0 0 1939.202 3829.339 -249.992717481918 -308 .2955007175 .06858284065 .378301 -4.78451999376818 0 207.704 386.395 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
13 2368.85 2206 3851.675 3782.5 68.65224 67 47.65224 46 40 40 507.1968 562.4941 647 647 13.39913 17.09556 2599 2599 662 662 662.5 2599 .218297 0 13.3991 1237.66 407.693 1131.19 17.0956 1800.36 373.862 2051.31 233.871 279.931 null null null null 0 0 233.8713 279.9305 -14.9385512908465 -38.3341077042357 .07807338231 .1635894837 .59328 -.198470890977314 0 77.0385 58.1303 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
14 8494.615 8853 5843.615 5852 66.9511 65 48.87382 45 39 39 1450.531 985.08 634 634 12.47554 20.72859 2599 2599 687 687 687.921 2599.61 .169634 0 12.4755 7365.2 832.68 1129.42 20.7286 3790.47 501.035 2053.15 1372.77 581.494 null null null null 0 0 1372.768 581.4935 -191.123542555024 -113.418873312321 -.3730523229 .08165202047 .625851 -5.30935373947822 0 155.2 76.8636 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
15 6099.513 6179 6791.487 6906 67.45032 66 49.30929 46 39 39 957.511 1088.604 624 624 13.02525 21.9631 2600 2600 713 713 713.192 2600 .270681 0 13.0253 4968.97 630.716 1130.54 21.9631 4736.69 575.954 2054.79 913.735 716.756 null null null null 0 0 913.7347 716.756 -126.9107768777 -146.920923721136 -.1054487596 .07766417457 .511687 -.758099767053155 0 115.981 87.1533 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
16 9559.054 9825 19860.03 19555 69.32075 67 53.47013 47 37 37 1318.023 2440.11 636 636 14.44722 30.1622 2599 2599 738 738 738.932 2599.99 .218018 0 14.4472 8426.11 927.841 1132.94 30.1622 17804.5 1810.35 2055.55 1528.83 2656.28 null null null null 0 0 1528.827 2656.278 -215.428545065978 -308 .2399149786 .06772357254 .478266 -3.40202007156531 0 168.347 270.088 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
17 7752.615 8039 9641.154 9700 67.40553 66 49.58218 46 39 39 1494.221 1602.168 651 651 13.56347 20.93273 2600 2600 764 764 764.085 2600.1 .254418 0 13.5635 6617.9 767.373 1134.72 20.9327 7584.75 826.223 2056.41 1185.06 1115.61 null null null null 0 0 1185.056 1115.606 -172.555405653876 -230.194770405724 -.02622807418 .06927705199 .725686 -.151818733583738 0 137.412 121.525 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
18 9251.432 9382 15748.11 16024 67.73028 67 49.28076 46 37 37 1088.764 2197.236 634 634 13.11782 21.87715 2600 2600 789 789 789.377 2600.34 .235524 0 13.1178 8112.66 899.471 1138.77 21.8772 13690.2 1407.68 2057.91 1433.59 1984.43 null null null null 0 0 1433.591 1984.431 -208.484147341902 -308 .1412109412 .06630599311 .314193 -1.47889399457572 0 158.946 204.048 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1
19 9540.263 9652 10894.74 10806.5 68.35427 68 50.37842 46 38 38 1388.259 1476.684 621 621 12.72463 24.68642 2600 2600 814 814 814.424 2600.86 .247511 0 12.7246 8396.55 925.157 1143.71 24.6864 8835.9 942.386 2058.83 1464.22 1262 null null null null 0 0 1464.22 1261.997 -214.781685111489 -259.781792834167 -.06454779646 .0670641886 .558733 -.473906854549001 0 161.332 134.597 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0
20 6446.703 6645 14183.16 14759 68.7965 68 50.3132 46 37 37 949.2709 2418.279 629 629 12.7438 24.11785 2601 2601 840 840 840 2601 .18474 0 12.7438 5298.34 656.978 1148.36 24.1179 12124.3 1255.92 2058.86 911.896 1705.81 null null null null 0 0 911.8955 1705.809 -136.553571575487 -323.306215343116 .2719854421 .07186868174 .392733 -3.81239030246747 0 113.072 176.7 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0

Total number of rows: 15744

Table truncated, full table size 6317 Kbytes.




Supplementary data files not provided
Processed data included within Sample table

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