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Sample GSM491395 Query DataSets for GSM491395
Status Public on Jun 08, 2010
Title Scerev_Sparad_F2_hybrid P2C3
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 P2C3 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/2008-07/80436.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
1 583.4561 583 3366.298 3341 83.04861 83 66.83333 66.5 57 57 21.40099 127.5305 288 288 6.044354 6.366835 153 153 164 164 164.928 153.381 -.0367294 0 6.04435 -580.019 398.904 1163.48 6.36683 -894.519 493.374 4260.82 -356.69 -141.705 null null null null 0 0 223.545 77.89386 -3.72884405139568 -5.44052189877352 0 .8111558146 .0180532 0 0 245.31 80.0404 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 1509.965 1511 4168.825 4132 81.82772 82 67.21723 67 57 57 43.97725 195.8618 267 267 6.574637 6.145908 153 153 187 187 187.067 153.067 -.052102 0 6.57464 348.54 400.423 1161.43 6.14591 -86.43 493.374 4255.25 214.339 -13.8077 null null null null 0 0 224.367 78.55369 -1.62404390721206 -.187703110697132 0 .8093695535 .395578 0 0 246.245 80.0404 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 2924.193 2877 6206.895 6198 83.3156 83 67.10284 67 57 57 258.1119 250.3618 282 282 7.005568 6.552829 153 153 207 207 207.324 153.38 .0842539 0 7.00557 1768.54 436.35 1155.65 6.55283 1956.69 530.758 4250.21 1087.59 314.885 null null null null 0 0 1087.585 314.8846 -25.2203414711045 -20.9962250629026 -.5383119177 .196330112 .508858 -2.21402807982576 0 268.339 86.1052 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4 2970.214 2958.5 14429.68 14466 84.12847 84 67.33333 67 56 56 170.1009 829.0544 288 288 7.791769 6.22124 152 152 228 228 228.993 152.643 .0257808 0 7.79177 1820.2 438.469 1150.02 6.22124 10184.4 1131.65 4245.29 1119.35 1649.79 null null null null 0 0 1119.352 1649.79 -26.4269229113311 -161.643452155333 .1684619592 .1036004065 .843846 -.98324296487844 0 269.642 183.589 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 2252.088 2269 5553.667 5513 84.71631 84 66.76596 67 57 57 136.2358 228.0815 282 282 7.077433 6.202558 153 153 249 249 249.978 153.043 .00367046 0 7.07743 1111.19 414.091 1140.89 6.20256 1313.25 510.553 4240.42 683.342 214.066 null null null null 0 0 683.3419 214.0658 -11.4811058898837 -10.6107364318975 -.5040907839 .2876480737 .565401 -1.09856728273481 0 254.65 82.8273 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 1488.759 1485 7562.362 7464 85.27698 85 66.90288 67 58 58 89.37685 453.1119 278 278 6.814635 6.942356 153 153 271 271 271 153 .0916826 0 6.81464 356.851 400.497 1131.91 6.94236 3327.32 595.087 4235.04 219.45 545.3 null null null null 0 0 227.9734 545.3003 -1.68511990514459 -48.026827795186 .3787515277 .3157413307 .723103 -.637688683061112 0 246.29 96.5413 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0
7 1694.066 1646 8473.41 8401 84.57244 85 66.60071 67 61 61 133.7841 728.2692 283 283 6.486009 6.110066 153 153 292 292 292 153.086 .00972521 0 6.48601 566.57 402.907 1127.5 6.11007 4243.23 650.745 4230.18 348.419 698.771 null null null null 0 0 348.4186 698.7713 -3.58387229606283 -66.7045714565799 .3022337445 .2323353044 .83971 -.713747309997117 0 247.772 105.571 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 2155.864 2127 8908.169 8675 85.38095 85 67.34524 67 59 59 140.2597 719.4338 252 252 7.056242 6.476733 153 153 313 313 313.5 153.5 -.0673123 0 7.05624 1031.05 412.013 1124.81 6.47673 4682.45 680.2 4225.72 634.058 774.56 null null null null 0 0 634.0582 774.5597 -10.0798918116413 -75.3998093206992 .08692580211 .1709785596 .864966 -.213836825293023 0 253.372 110.349 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 2508.05 2494.5 12996.22 12856 84.19636 84 66.59636 66 60 60 173.7002 1098.323 275 275 6.661085 6.332686 153 153 334 334 334.226 153 .0932509 0 6.66109 1385.06 422.265 1122.99 6.33269 8774.68 1006.66 4221.54 851.759 1456.36 null null null null 0 0 851.759 1456.357 -16.7752339259521 -143.250904006476 .2329509943 .1181950372 .860402 -1.31215968556406 0 259.677 163.311 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 2784.849 2768 11462.11 11378 84.35379 84 67.08303 67 53 53 160.5602 682.922 277 277 6.591972 6.115758 152 152 355 355 355.631 152.396 .126168 0 6.59197 1662.8 432.173 1122.04 6.11576 7244.47 876.494 4217.65 1022.56 1205.84 null null null null 0 0 1022.561 1205.841 -22.7953239337042 -120.648049167401 .07160080739 .1177529461 .697624 -.265081850081911 0 265.77 142.194 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
11 1904.685 1893.5 4303.37 4299.5 84.27241 84.5 66.67586 66 54 54 95.48344 183.6985 290 290 6.82796 6.300857 152 152 377 377 377.218 152.544 -.0578599 0 6.82796 786.624 406.586 1118.06 6.30086 89.9151 493.456 4213.46 483.744 15.0066 null null null null 0 0 483.7438 82.06506 -6.29208167634043 -.196585223298766 -.7704571168 .5035710576 .583127 -.899560562629474 0 250.035 80.0537 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
12 6357.517 6364.5 21606.14 21428 83.83051 84 67.02034 67 58 58 380.8702 998.2335 295 295 7.556032 6.733478 152 152 397 397 397.925 152.388 -.00574821 0 7.55603 5243.24 658.817 1114.28 6.73348 17396.7 1808.28 4209.44 3224.39 2909.14 null null null null 0 0 3224.391 2909.141 -108.087134155373 -231.5487387183 -.04468298704 .07089781216 .715278 -.276926787034884 0 405.147 293.358 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 1785.519 1777 8061.815 8022.5 84.04594 84 67.03887 67 54 54 95.51523 446.7432 283 283 7.507538 6.36217 153 153 418 418 418.936 153.429 .0464378 0 7.50754 672.385 404.531 1113.13 6.36217 3855.67 626.163 4206.14 413.491 646.068 null null null null 0 0 413.4907 646.0679 -4.79784693288845 -58.8638281950574 .1938123736 .2239242454 .770212 -.412569828101693 0 248.771 101.583 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 1818.224 1805.5 12294.64 12059.5 84.26573 84 66.05245 66 58 58 135.9818 989.2861 286 286 6.983139 6.001232 152 152 440 440 440.088 152.5 .105246 0 6.98314 707.402 405.127 1110.82 6.00123 8091.77 947.726 4202.87 435.025 1356.89 null null null null 0 0 435.0251 1356.887 -5.23602723380423 -133.533179813715 .4940294506 .1568915359 .907625 -2.78539771412815 0 249.138 153.75 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 1412.796 1405 7184.981 7161.5 83.86182 83 66.19636 66 54 54 96.6498 398.9491 275 275 7.287313 6.190231 153 153 461 461 461.746 153.355 -.0539262 0 7.28731 301.549 400.042 1111.25 6.19023 2984.58 576.624 4200.4 185.441 501.016 null null null null 0 0 236.5101 501.0157 -1.29907227236903 -40.9979592751335 .3260016974 .3243871804 .774989 -.501816494411256 0 246.01 93.5461 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0
16 2175.403 2154 10159.44 9915 83.125 83 67.34122 67 62 62 197.9718 1022.677 296 296 6.688309 6.397176 152 152 482 482 482.886 152.121 .0377418 0 6.68831 1062.68 412.816 1112.72 6.39718 5961.09 773.799 4198.35 653.506 1000.44 null null null null 0 0 653.5064 1000.441 -10.6240694912474 -99.2036942353804 .1849415466 .1509705619 .706664 -.656456090482549 0 253.866 125.534 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 1999.069 2003.5 10070.28 9849 83.91103 84 65.97865 66 58 58 213.3073 960.1535 281 281 6.764079 6.610023 153 153 503 503 503.831 153.235 -.0172964 0 6.76408 884.896 408.601 1114.17 6.61002 5873.75 767.09 4196.52 544.177 986.14 null null null null 0 0 544.1771 986.1395 -7.72226704658654 -97.655146165322 .2581981247 .1638130578 .798864 -.939357312127434 0 251.274 124.446 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 2573.525 2563 6449.695 6354 82.89855 83 65.78986 65.5 59 59 169.4901 343.1072 276 276 6.968803 6.114011 153 153 524 524 524.918 153.144 .0198102 0 6.9688 1458.2 424.721 1115.32 6.11401 2254.7 542.453 4194.99 896.74 378.349 null null null null 0 0 896.7396 378.3485 -18.3048520529074 -26.5052431010399 -.3747743056 .1992569538 .598125 -1.22191361807871 0 261.187 88.0024 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 2674.544 2647 4688.123 4655 84.06294 84 65.92308 65.5 57 57 195.9806 222.3696 286 286 7.47789 6.280102 153 153 546 546 546.106 153.319 -.00423003 0 7.47789 1562.87 428.427 1111.67 6.2801 494.549 495.847 4193.57 961.105 82.9253 null null null null 0 0 961.1054 82.9253 -20.5657489497607 -2.01852253172452 -1.064083967 .3337882594 .576177 -2.84372493043442 0 263.466 80.4415 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 3134.909 3139 11236.27 11158 82.32042 81.5 65.94014 66 55 55 163.3279 526.9353 284 284 7.845199 6.713202 152 152 567 567 567.76 152.225 .0441775 0 7.8452 2026.55 447.43 1108.36 6.7132 7043.64 859.969 4192.63 1246.25 1179.15 null null null null 0 0 1246.251 1179.152 -31.3659007607483 -117.450496483408 -.02403605007 .1105088719 .693547 -.0820661339853509 0 275.152 139.513 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 4344 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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