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Sample GSM657058 Query DataSets for GSM657058
Status Public on Feb 01, 2012
Title v2 aCGH GSY2237
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 genomic DNA of GSY 2237
Organism Saccharomyces cerevisiae
Characteristics lab database strain name: GSY 2237
type: Wine - commercially produced strain
strain: LalvinAC
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/2009-11/85741.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 (1)
GSE26689 Analysis of the Saccharomyces cerevisiae Pan-Genome Reveals a Pool of Copy Number Variants Distributed in Diverse Yeast Strains From Differing Industrial Environments.

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 114 null 63 19.8198 19 39.0388 38 null null null null null null 5.975969 13.43646 46 56 47 57 52.2 51.37 null null null 8.85897 null null null -28.4749 null null null null null null null null null null 6.610232 28.26745 null null 0 .8512629342 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 105.5 null 75 20.1379 20 39.0636 38 null null null null null null 6.161623 13.39557 46 56 68 78 73.2 51.4 null null null .118651 null null null -20.3824 null null null null null null null null null null 6.577977 28.20098 null null 0 .8519444476 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 104 null 62 20.107 20 39.1388 38 null null null null null null 6.193303 13.58294 46 56 89 99 94.5 51.5 null null null -5.47327 null null null -30.4206 null null null null null null null null null null 6.546046 28.13693 null null 0 .8526762685 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 2155 null 84 20.127 20 39.0723 38 null null null null null null 6.248376 13.51171 46 56 110 120 115.5 51.04 null null null 2094.41 null null null -7.69833 null null null null null null null null null null 608.2239 28.06926 null null -1.335832502 .1551475963 null -17.1366025682818 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 0 null null
5 null 1061 null 148 20.2538 20 39.4189 38 null null null null null null 6.226569 14.04828 46 56 131 141 136.8 51.5 null null null 933.654 null null null 59.9662 null null null null null null null null null null 269.8382 78.08481 null null -.5385367837 .1132597346 null -5.70210517265398 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
6 null 7627 null 155 20.5461 20 39.5024 38 null null null null null null 6.56968 14.38799 46 56 152 162 157.8 51.61 null null null 7567.41 null null null 67.0098 null null null null null null null null null null 2177.129 87.07859 null null -1.397972739 .1470120565 null -20.7165564993728 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
7 null 975 null 181 20.7153 20 40.049 39 null null null null null null 6.595445 14.59679 46 56 174 184 179 51.5 null null null 843.202 null null null 90.326 null null null null null null null null null null 241.5064 117.1333 null null -.314248302 .0994869288 null -2.80002466027666 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
8 null 6688 null 45092.5 20.708 20 40.518 39 null null null null null null 6.593011 14.63791 46 56 195 205 200 51.22 null null null 6797.05 null null null 46745.3 null null null null null null null null null null 1938.384 60493.18 null null 1.494266672 .1544542245 null -21.4122932013104 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
9 null 5051 null 34780 20.6722 20 40.5648 39 null null null null null null 6.614678 14.71237 46 56 216 226 221.2 51.16 null null null 5062.99 null null null 36304.2 null null null null null null null null null null 1437.639 46890.24 null null 1.513432709 .1562064538 null -21.4725138340484 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
10 null 5945.5 null 4276.5 20.6013 20 40.2643 39 null null null null null null 6.532719 14.2458 46 56 237 247 242.9 51.56 null null null 5898.08 null null null 4181.43 null null null null null null null null null null 1667.346 5391.341 null null .5096710408 .07733404348 null -10.3582200290288 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
11 null 638 null 170 20.6475 20 39.9062 39 null null null null null null 6.511458 14.18793 46 56 258 268 263.8 51.52 null null null 532.138 null null null 68.6372 null null null null null null null null null null 149.8139 88.33978 null null -.2293959531 .1248388256 null -1.1795971563731 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
12 null 885 null 114 20.6831 20 39.5739 39 null null null null null null 6.536573 14.114 46 56 279 289 284.9 51.4 null null null 806.813 null null null 27.4928 null null null null null null null null null null 226.2228 35.32213 null null -.8064895289 .1545268734 null -6.74519774722976 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
13 null 6417 null 33514.5 20.6413 20 39.5526 38 null null null null null null 6.568059 14.01917 46 56 300 310 305.8 51.05 null null null 6252.51 null null null 34090.6 null null null null null null null null null null 1746.347 43721.14 null null 1.398560996 .1457940112 null -21.0665449022591 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
14 null 6096.5 null 7430 20.8702 20 39.7854 38 null null null null null null 6.615449 14.31562 46 56 322 332 327 51.3 null null null 6019.88 null null null 7472.13 null null null null null null null null null null 1674.641 9568.373 null null .756916495 .09318396889 null -15.3415315783896 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
15 null 6871 null 98.5 20.7147 20 40.1403 38 null null null null null null 6.630963 14.85494 46 56 343 353 348.3 51.38 null null null 7027.83 null null null 4.30197 null null null null null null null null null null 1947.415 27.5061 null null -1.850029417 .1896360237 null -21.7584081885474 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 0 null null
16 null 58154 null 7530 20.8586 20 39.965 38 null null null null null null 6.619412 14.84655 46 56 363 373 368.9 51.98 null null null 59965.4 null null null 7455.92 null null null null null null null null null null 16552.58 9521.023 null null -.2401821316 .06523306201 null -3.63545844329027 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
17 null 5577 null 24505 20.7934 20 40.0082 38 null null null null null null 6.576939 14.92472 46 56 385 395 390.7 51.21 null null null 5565.03 null null null 24892.6 null null null null null null null null null null 1530.564 31731.52 null null 1.316639234 .1385028874 null -20.7039662785194 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
18 null 4133 null 323 20.7447 20 40.1754 39 null null null null null null 6.548967 14.93882 46 56 407 417 412 51.5 null null null 4113.4 null null null 237.529 null null null null null null null null null null 1127.09 302.3933 null null -.5713865261 .08318626484 null -11.1886787558784 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
19 null 4768 null 28650 20.7116 20 39.8438 39 null null null null null null 6.471748 14.58672 45 55 427 437 432.9 50.95 null null null 4700.56 null null null 29147.3 null null null null null null null null null null 1283.598 37051 null null 1.460371089 .1513731292 null -21.2978067529391 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
20 null 2665 null 124 20.7053 20 39.5463 39 null null null null null null 6.53774 14.20041 46 56 449 459 454 51.46 null null null 2621.55 null null null 29.0474 null null null null null null null null null null 713.2934 36.88302 null null -1.286441753 .146020888 null -17.9025232808729 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null

Total number of rows: 62976

Table truncated, full table size 22589 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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