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Sample GSM657050 Query DataSets for GSM657050
Status Public on Feb 01, 2012
Title v2 aCGH Scer only ref pool
Sample type genomic
 
Channel 1
Source name 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng in-complete other spp DNA pool
Organism Saccharomyces cerevisiae
Characteristics test: 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng in-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
Organism Saccharomyces cerevisiae
Characteristics lab database strain name: 55 ng sonicated complete S. cerevisiae 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/2009-11/85768.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 69.5 null 58.5 18.8138 18 38.2208 37 null null null null null null 5.993604 15.59638 45 55 48 58 53.33 50.78 null null null -48.0582 null null null -46.352 null null null null null null null null null null 20.27328 27.07671 null null 0 .6288060245 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 69 null 54 18.8186 18 37.939 37 null null null null null null 6.101671 16.05486 45 55 69 79 74.37 50.07 null null null -51.5537 null null null -57.7562 null null null null null null null null null null 20.39749 27.3563 null null 0 .6291137842 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 73 null 57 18.9631 18 37.8403 37 null null null null null null 6.2289 16.37574 45 55 91 101 96 50.5 null null null -52.4378 null null null -53.6169 null null null null null null null null null null 20.52333 27.63766 null null 0 .6294195235 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 11776.5 null 125 19.1246 19 38.1234 37 null null null null null null 6.321875 16.35403 45 55 111 121 116.7 50.47 null null null 11604.3 null null null 20.7656 null null null null null null null null null null 1894.228 27.88677 null null -1.832033909 .1890740033 null -21.4760753004635 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 0 null null
5 null 249 null 143 19.0619 19 38.5494 37 null null null null null null 6.333251 16.54551 45 55 133 143 138.21 50.81 null null null 127.268 null null null 44.4035 null null null null null null null null null null 20.88172 28.13229 null null 0 .6297785437 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 0 null null
6 null 12574 null 228 19.0867 19 38.9948 38 null null null null null null 6.245588 16.71857 45 55 154 164 159.39 50.46 null null null 12804.8 null null null 103.951 null null null null null null null null null null 2110.301 40.58402 null null -1.715989373 .1774411135 null -21.396412570485 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
7 null 504 null 400 18.9222 18 39.4835 38 null null null null null null 6.133298 17.10087 45 55 175 185 180.56 50.97 null null null 380.455 null null null 290.308 null null null null null null null null null null 62.96791 114.1829 null null .2584816316 .1914877324 null -.751877316650114 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 1 null null
8 null 11986.5 null 37764 18.9393 18 39.1482 38 null null null null null null 6.058411 16.99232 45 55 196 206 201.02 50.07 null null null 11986.9 null null null 40081.6 null null null null null null null null null null 1990.506 15862.3 null null .9014025654 .1039092093 null -17.3831106005656 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
9 null 10723 null 39071 19.0054 19 39.0864 38 null null null null null null 6.026959 16.801 45 55 217 227 222.23 50.04 null null null 10990 null null null 41582.8 null null null null null null null null null null 1831.014 16556.82 null null .956285285 .1081997686 null -18.0117952821565 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
10 null 5416 null 9555 18.9752 18 38.7955 38 null null null null null null 5.997492 16.38618 45 55 239 249 244 50.8 null null null 5437.81 null null null 9647.83 null null null null null null null null null null 908.8798 3864.044 null null .6285356315 .08477735057 null -12.9115602492353 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
11 null 259 null 261 18.916 18 39 38 null null null null null null 6.020531 16.16216 46 56 260 270 265.37 51 null null null 136.957 null null null 144.62 null null null null null null null null null null 22.95099 58.21453 null null .4042299429 .4225823687 null -.470077167440662 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 1 null null
12 null 483 null 356 18.6315 18 38.7516 38 null null null null null null 5.847356 16.29084 45 55 281 291 286.02 50.93 null null null 374.853 null null null 239.247 null null null null null null null null null null 62.94947 96.71994 null null .1865239563 .2112173348 null -.423442655258063 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 1 null null
13 null 10017 null 28641 18.7866 18 38.8799 38 null null null null null null 6.093139 16.29145 45 55 302 312 307 50.69 null null null 9968.29 null null null 30319.3 null null null null null null null null null null 1676.935 12304.11 null null .8655337989 .1011815296 null -16.9258410950682 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
14 null 9377 null 22556 18.9239 18 38.7915 37 null null null null null null 6.184699 16.50438 45 55 323 333 328.31 50.22 null null null 9313.55 null null null 22746.5 null null null null null null null null null null 1568.985 9261.859 null null .7710794188 .09422867898 null -15.5579697111494 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
15 null 6755 null 116 18.8694 18 39.4164 38 null null null null null null 6.340196 16.71098 46 56 343 353 348.87 51.29 null null null 6819.75 null null null 3.81119 null null null null null null null null null null 1150.493 29.66161 null null -1.588689375 .1711968475 null -19.7704716701619 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 0 null null
16 null 42781.5 null 151143 18.835 18 39.5211 38 null null null null null null 6.208069 16.63512 45 55 365 375 370.84 50.75 null null null 42891.2 null null null 134036 null null null null null null null null null null 7241.428 54883.61 null null .8796184773 .1022121854 null -17.1204408262702 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
17 null 8144 null 15927 18.887 18 39.6954 38 null null null null null null 6.270527 16.74029 45 55 386 396 391.83 50.6 null null null 8091.15 null null null 16164.3 null null null null null null null null null null 1366.782 6632.15 null null .6859550433 .08834799855 null -14.085464377496 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
18 null 24252.5 null 702.5 18.808 18 39.8845 38 null null null null null null 6.213234 16.79448 46 56 408 418 413.46 51.52 null null null 25095.4 null null null 597.806 null null null null null null null null null null 4241.323 245.7366 null null -1.237031422 .1320276632 null -20.1373547946115 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
19 null 7504 null 24887 18.8972 18 39.2584 38 null null null null null null 6.265019 16.35948 45 55 428 438 433.89 50.16 null null null 7558.34 null null null 25762.2 null null null null null null null null null null 1277.062 10599.72 null null .9190824563 .1053170219 null -17.5818003613978 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
20 null 14843 null 316 18.7742 18 38.5522 37 null null null null null null 6.281041 16.42763 46 56 450 460 455.36 51.11 null null null 15163.2 null null null 212.507 null null null null null null null null null null 2561.886 87.52809 null null -1.466412433 .1534903545 null -20.9029037715668 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 22675 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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