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Sample GSM657057 Query DataSets for GSM657057
Status Public on Feb 01, 2012
Title v2 slide002 self ctrl
Sample type genomic
 
Channel 1
Source name 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
Organism Saccharomyces cerevisiae
Characteristics test: 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
Organism Saccharomyces cerevisiae
Characteristics lab database strain name: 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
strain: none
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Scanner Model: G2505C
Description Simple annotation: Wine, aCGH cell line
Image: http://smd.stanford.edu/MicroArray/gifs/2009-11/85715.gif
Data processing Agilent Feature Extraction
 
Submission date Jan 18, 2011
Last update date Feb 21, 2012
Contact name Barbara Dunn
E-mail(s) bdunn@stanford.edu
Phone 650-498-5995
Organization name Stanford University
Department Genetics
Street address -
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platform ID GPL11575
Series (2)
GSE26689 Analysis of the Saccharomyces cerevisiae Pan-Genome Reveals a Pool of Copy Number Variants Distributed in Diverse Yeast Strains From Differing Industrial Environments.
GSE35549 Array CGH of interspecific hybrid yeasts using multi-species array platform

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(REDsignal/GREENsignal); Type: float; Scale: linear_scale
COMPUTED.LOG_RATIO_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 COMPUTED.LOG_RATIO_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 null 110 null 72 18.3856 18 36.6383 35 null null null null null null 6.056141 14.21798 47 57 45 55 50.371 52.15 null null null -10.2398 null null null 5.22613 null null null null null null null null null null 9.050483 7.905322 null null 0 .6205919643 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 0 0 null null
2 null 90 null 63 17.9595 17 36.624 35 null null null null null null 5.874502 14.41353 47 57 66 76 71.281 52.11 null null null -25.9898 null null null -1.61789 null null null null null null null null null null 9.16826 8.004668 null null 0 .620213738 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 0 0 null null
3 null 98 null 61.5 17.8062 17 36.6557 35 null null null null null null 5.765697 14.4862 47 57 87 97 92.4 52.57 null null null -20.2227 null null null -.0679439 null null null null null null null null null null 9.284574 8.10328 null null 0 .6202263625 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 0 0 null null
4 null 798.5 null 570 17.8006 17 37.0638 36 null null null null null null 5.774397 14.48776 47 57 108 118 113.75 52.19 null null null 672.066 null null null 513.851 null null null null null null null null null null 485.0114 439.0598 null null -.04322832832 .06266600617 null -.309532128447536 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
5 null 385 null 301 17.8776 17 37.2742 36 null null null null null null 5.707857 14.36222 47 57 129 139 134.784 52.41 null null null 279.139 null null null 234.687 null null null null null null null null null null 203.7378 202.7304 null null -.002152569304 .06713289592 null -.0112534660116685 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
6 null 2551 null 2626 17.8952 17 37.7109 37 null null null null null null 5.783955 14.5773 47 57 150 160 155.843 52.25 null null null 2486.28 null null null 2556.18 null null null null null null null null null null 1834.126 2230.805 null null .085032545 .06196821303 null -.769544962265687 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
7 null 356 null 289 17.8215 17 38.0727 37 null null null null null null 5.756898 14.82693 47 57 172 182 177 52.8 null null null 254.956 null null null 237.762 null null null null null null null null null null 190.0349 209.5857 null null .04252839133 .06767999271 null -.275922030378804 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
8 null 2742 null 2704 17.9802 17 37.7328 37 null null null null null null 5.832041 14.65758 47 57 192 202 197.709 52.22 null null null 2664.1 null null null 2887.95 null null null null null null null null null null 2004.321 2568.311 null null .107680358 .06225064109 null -1.07743886446123 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
9 null 2699.5 null 2003 17.9146 17 37.619 36 null null null null null null 5.839795 14.78891 47 57 214 224 219.264 52.15 null null null 2685.05 null null null 2028.12 null null null null null null null null null null 2038.97 1819.768 null null -.04939480843 .06165547612 null -.373609034721225 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
10 null 2225 null 2314 17.8152 17 37.3452 36 null null null null null null 5.778189 14.62529 47 57 235 245 240.945 52.15 null null null 2176.42 null null null 2326.39 null null null null null null null null null null 1667.412 2105.103 null null .1012302629 .06218633591 null -.984825167224374 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
11 null 243 null 224 18.1448 18 37.3649 36 null null null null null null 6.00552 14.30106 47 57 256 266 261.667 52.61 null null null 135.709 null null null 151.396 null null null null null null null null null null 104.8113 138.0636 null null .1196711784 .07886555444 null -.888858979062668 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
12 null 320.5 null 310 17.9188 17 37.308 36 null null null null null null 5.733401 14.50451 47 57 277 287 282.93 52.26 null null null 216.538 null null null 261.603 null null null null null null null null null null 168.5179 240.2887 null null .1540873337 .06936345993 null -1.57970395050808 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
13 null 2903 null 2732 18.1431 18 37.7126 37 null null null null null null 5.950479 14.7378 47 57 298 308 303.897 52.4 null null null 2843.16 null null null 2719.91 null null null null null null null null null null 2228.525 2515.389 null null .05258780836 .06165631107 null -.40482961826392 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
14 null 2230 null 2454 18.2967 18 37.9189 37 null null null null null null 5.96525 14.84174 47 57 320 330 325.196 52.11 null null null 2207.08 null null null 2351.43 null null null null null null null null null null 1741.637 2188.437 null null .09917646976 .06215689392 null -.956315646808704 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
15 null 2241.5 null 2373 18.249 18 38.384 37 null null null null null null 5.98325 15.43049 47 57 341 351 346.068 52.27 null null null 2269.16 null null null 2301.63 null null null null null null null null null null 1801.826 2154.819 null null .07769790373 .06190114726 null -.679005466552432 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
16 null 22792 null 10688.5 18.4543 18 38.571 38 null null null null null null 6.041251 15.56057 47 57 362 372 367.5 52.5 null null null 23400.8 null null null 10862.8 null null null null null null null null null null 18692.83 10227.87 null null -.2618897501 .06592433911 null -4.14814158326067 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
17 null 2205 null 1542.5 18.3885 18 38.7351 38 null null null null null null 6.070854 15.57834 47 57 383 393 388.314 52.37 null null null 2185.18 null null null 1522.34 null null null null null null null null null null 1754.895 1440.549 null null -.08572309302 .06203162374 null -.777297708148577 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
18 null 1264.5 null 1164 18.322 18 39.273 38 null null null null null null 5.983688 15.98984 47 57 404 414 409.623 52.34 null null null 1147.97 null null null 1129.3 null null null null null null null null null null 926.6203 1073.732 null null .06399399203 .0619955172 null -.520048179557147 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
19 null 2171 null 2352 18.2217 18 39.0906 38 null null null null null null 5.950441 15.67227 47 57 425 435 430.56 52.14 null null null 2231.47 null null null 2335.05 null null null null null null null null null null 1809.477 2229.62 null null .09067783765 .06204830818 null -.841927854496428 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
20 null 900 null 848 18.0654 18 39.3492 38 null null null null null null 5.732823 15.85958 47 57 447 457 452.19 52.25 null null null 840.106 null null null 781.315 null null null null null null null null null null 684.2309 749.1095 null null .03934264814 .06211641967 null -.278607933301253 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null

Total number of rows: 62976

Table truncated, full table size 22703 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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