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Sample GSM491430 Query DataSets for GSM491430
Status Public on Jun 08, 2010
Title Scerev_Sparad_F2_hybrid P2C2
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 P2C2 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/2008-07/80435.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 GPL9836
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
1 588.6897 589.5 3305.552 3309 79.50714 79 64.68929 65 58 58 22.13849 103.1708 280 280 6.483501 6.30468 144 144 153 153 153.706 144.948 .0153554 0 6.4835 -538.76 409.549 1127.45 6.30468 -481.11 422.04 3786.66 -333.148 -91.0726 null null null null 0 0 252.3856 79.63314 -3.15128819622973 -2.48534468312912 0 .7700826682 -.0357635 0 0 253.249 79.8909 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 1573.621 1573.5 3995.328 3998 80.12186 79 65.34767 65 58 58 42.31786 123.2021 279 279 7.388952 6.442685 145 145 175 175 175.257 145.801 .0869103 0 7.38895 447.515 411.987 1126.11 6.44268 208.157 422.553 3787.17 276.726 39.4035 null null null null 0 0 276.7261 79.63314 -2.32035137798362 -.697528370573843 -.5409563485 .7328800551 .246964 -.336827792613846 0 254.757 79.9881 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
3 2945.603 2934 9911.293 9850 79.74539 80 65.05535 65 58 58 171.2587 490.5973 271 271 6.573074 5.601643 143 143 196 196 196.723 143.617 .0524895 0 6.57307 1824.33 448.344 1121.27 5.60164 6126.27 743.929 3785.02 1128.1 1159.69 null null null null 0 0 1128.098 1159.685 -25.4509685220177 -117.794974372551 .01199334581 .118065613 .660498 -.0366426982634091 0 277.239 140.824 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4 3292.617 3297 5869.283 5847.5 79.53873 79 64.50352 64 60 60 151.6025 232.0789 284 284 6.713884 6.254609 144 144 217 217 217.936 144.664 -.0269304 0 6.71388 2176.03 463.769 1116.59 6.25461 2086.25 470.789 3783.04 1345.57 394.92 null null null null 0 0 1345.572 394.9205 -33.7023423315081 -29.9220364841206 -.5323973056 .1681809613 .522336 -2.81036403454607 0 286.777 89.1189 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 2150.949 2125 10660.63 10577 81.28014 81 65.6773 66 59 59 115.3735 431.2474 282 282 7.956481 6.637442 143 143 239 239 239.357 143.868 .0461929 0 7.95648 1042.34 422.605 1108.61 6.63744 6882.32 807.33 3778.31 644.544 1302.8 null null null null 0 0 644.5443 1302.803 -9.81767381340123 -131.030523048398 .3056258619 .1405556325 .613104 -1.52762099797045 0 261.323 152.825 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 1484.492 1477 3439.571 3427 80.11032 79 65.28826 65 63 63 67.73308 148.6104 281 281 7.367782 6.313718 144 144 260 260 260.13 144.931 .0541313 0 7.36778 383.736 411.343 1100.76 6.31372 -333.934 422.04 3773.51 237.287 -63.2127 null null null null 0 0 252.3856 79.63314 -1.81288556268541 -1.39261361145992 0 .7731509377 .245106 0 0 254.358 79.8909 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
7 1677.707 1681 6671.362 6655.5 80.43986 80 65.71134 65 58 58 76.58226 324.9111 291 291 6.781236 6.203379 144 144 281 281 281.452 144.007 .0540152 0 6.78124 580.435 413.642 1097.27 6.20338 2898.85 512.007 3772.52 358.918 548.743 null null null null 0 0 358.9185 548.7429 -3.57146674537647 -48.9505687600663 .1843730589 .2656721845 .660446 -.311855861192081 0 255.78 96.9214 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 2143.649 2142 7418.088 7385 78.93333 79 65.60784 65 57 57 65.42757 251.6145 255 255 6.569395 6.426687 145 145 302 302 302.805 145.842 .0423671 0 6.5694 1048.19 422.75 1095.46 6.42669 3644.96 557.651 3773.13 648.161 689.98 null null null null 0 0 648.1613 689.9796 -9.91388942619868 -66.4709265708262 .0271531458 .1830550576 .453831 -.0544921228430073 0 261.412 105.562 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 2660.5 2648.5 5448.033 5424 79.97133 80 65.03943 65 60 60 144.8311 231.6165 279 279 6.877073 6.500848 144 144 324 324 324 144 .0341405 0 6.87707 1566.01 438.468 1094.49 6.50085 1673.36 454.003 3774.68 968.358 316.762 null null null null 0 0 968.3577 316.7618 -19.7668946947825 -20.9199546443331 -.4853030629 .2118382375 .567642 -1.65820118434745 0 271.132 85.9415 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 2920.213 2896 5506.836 5480 79.89643 80 64.92857 65 61 61 134.123 261.621 280 280 6.852255 6.325851 144 144 344 344 344.85 144.722 .210766 0 6.85225 1825.81 448.404 1094.4 6.32585 1729.61 456.107 3777.23 1129.01 327.41 null null null null 0 0 1129.012 327.4097 -25.4845765730808 -22.0979171144018 -.5376070431 .1947661415 .543291 -2.23842024988858 0 277.276 86.3396 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 1717.034 1727.5 11656.24 11772.5 81.11934 81 65.25926 65 58 58 73.92504 873.7418 243 243 8.010205 6.116185 144 144 366 366 366.671 144.685 .0621187 0 8.01021 625.658 414.3 1091.38 6.11618 7879.14 893.827 3777.1 386.882 1491.5 null null null null 0 0 386.8823 1491.499 -4.05582637908867 -146.993178965516 .5860439127 .1628856989 .702306 -3.49374377228891 0 256.187 169.199 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 6108.233 6134.5 23333.83 23310.5 81.88768 82 65.57246 65 60 60 221.8627 1061.613 276 276 6.285197 6.383943 144 144 387 387 387.037 144.716 -.0125296 0 6.2852 5019.69 647.845 1088.55 6.38394 19556.6 2000.68 3777.23 3103.98 3702.01 null null null null 0 0 3103.98 3702.008 -101.007105983897 -263.564717969887 .07651844889 .07053740018 .634775 -.555934063984663 0 400.602 378.723 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 1749.463 1733 4790.37 4783 80.34375 80 64.44141 64 54 54 93.97927 381.3419 256 256 7.219731 6.543706 145 145 408 408 408.708 145.169 .0570388 0 7.21973 661.167 414.852 1088.3 6.54371 1010.25 433.963 3780.12 408.84 191.238 null null null null 0 0 408.8399 191.2378 -4.45661246960859 -8.80759982963987 -.3299796495 .4084675178 .519403 -.377601399958347 0 256.528 82.1479 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
14 1952.286 1942.5 5009.232 5009.5 79.91941 80 63.97802 64 56 56 119.389 194.3587 273 273 6.219699 5.896743 144 144 429 429 429.55 144.092 .0137849 0 6.2197 865.378 418.592 1086.91 5.89674 1227.24 439.521 3781.99 535.117 232.313 null null null null 0 0 535.1165 232.3129 -7.09770386841569 -12.3481949483391 -.3623749947 .3253725651 .366724 -.576102465676246 0 258.841 83.2001 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 1289.569 1287.5 5884.293 5869 80.86364 81 65.06643 65 58 58 64.86778 248.1383 286 286 6.887487 6.864027 143 143 450 450 450.691 143.913 .00954389 0 6.88749 201.353 410.044 1088.22 6.86403 2097.3 471.28 3786.99 124.509 397.012 null null null null 0 0 252.3856 397.0124 -.694498158535967 -30.1724427026327 .1967394707 .3656441388 .556469 -.228755263661846 0 253.555 89.2118 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0
16 1904.333 1902.5 9460.241 9426 81.36082 81 64.92096 64 54 54 88.29731 498.3969 291 291 6.816085 6.856958 144 144 471 471 471.915 144.085 .0363216 0 6.81608 813.744 417.555 1090.59 6.85696 5666.69 706.564 3793.55 503.188 1072.69 null null null null 0 0 503.188 1072.688 -6.37737675147047 -109.224147899592 .3287433053 .1678556374 .536908 -1.29953223675697 0 258.2 133.75 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 1866.431 1831.5 4608.069 4643 82.00353 82 65.05654 65 58 58 143.729 210.7649 283 283 6.772126 6.56962 144 144 492 492 492.859 144.352 .0110745 0 6.77213 773.466 416.789 1092.97 6.56962 807.562 429.697 3800.51 478.281 152.869 null null null null 0 0 478.2813 152.8691 -5.83968756682048 -5.96730470048453 -.4953637933 .4114032453 .358952 -.641004769434769 0 257.726 81.3403 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 2476 2456.5 14492.41 14594.5 82.62937 82 64.48601 64 58 58 121.0565 991.7892 286 286 7.429839 6.897608 144 144 514 514 514.11 144.582 .0179736 0 7.42984 1380.92 432.203 1095.08 6.89761 10684.9 1148.82 3807.51 853.907 2022.62 null null null null 0 0 853.9071 2022.621 -15.9713596235373 -184.675186836035 .374503975 .1104100842 .661924 -3.15863699988428 0 267.258 217.468 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 2641.473 2605 9880.182 9869 82.26241 82 65.25887 65 55 55 144.5314 507.4149 282 282 7.972948 6.15173 144 144 535 535 535.5 144.392 .0366298 0 7.97295 1549.12 437.868 1092.35 6.15173 6071.56 739.43 3808.62 957.915 1149.33 null null null null 0 0 957.9148 1149.328 -19.409949930853 -116.796086356232 .07911707332 .1259836224 .770384 -.275718168150498 0 270.76 139.972 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
20 3308.217 3281.5 9591.75 9538.5 80.72887 81 65.36972 65 60 60 167.0363 457.8309 284 284 6.953689 6.339672 144 144 556 556 556.979 144.042 .0785094 0 6.95369 2218.29 465.767 1089.92 6.33967 5781.69 715.819 3810.06 1371.71 1094.46 null null null null 0 0 1371.707 1094.457 -34.7218205042105 -111.407610035253 -.09806261706 .1125802974 .776078 -.415975330922188 0 288.012 135.502 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0

Total number of rows: 10807

Table truncated, full table size 4340 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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