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Sample GSM657008 Query DataSets for GSM657008
Status Public on Feb 01, 2012
Title v2 aCGH GSY2200
Sample type genomic
 
Channel 1
Source name 165 ng sonicated complete S. cerevisiae DNA pool plus 975 ng complete other spp DNA pool
Organism Saccharomyces cerevisiae
Characteristics test: 165 ng sonicated complete S. cerevisiae DNA pool plus 975 ng complete other spp DNA pool
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name 165 ng HaeIII-cut genomic DNA from GSY2200
Organism Saccharomyces cerevisiae
Characteristics lab database strain name: GSY2200
type: Wine - commercially produced strain
strain: NT116
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/2010-01/86341.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 83 null 50 18.7199 18 36.3568 35 null null null null null null 6.407113 13.0146 45 55 49 59 54.969 50.312 null null null -2.89054 null null null -14.7861 null null null null null null null null null null 3.110742 10.93523 null null 0 .7983544516 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 83.5 null 61.5 19.0201 19 36.2609 35 null null null null null null 6.65569 12.98273 45 55 72 82 77.184 50.237 null null null 2.05418 null null null 5.28821 null null null null null null null null null null 3.147453 10.96856 null null 0 .7969764689 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 80 null 58.5 19.1366 19 36.5082 35 null null null null null null 6.695204 13.25878 45 55 92 102 97.4 50.586 null null null -5.19113 null null null -8.87439 null null null null null null null null null null 3.179201 10.99745 null null 0 .7942207396 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 1708 null 76 19.2462 19 36.7905 36 null null null null null null 6.751275 13.42609 45 55 113 123 118.617 50.583 null null null 1648.34 null null null 7.27992 null null null null null null null null null null 323.6266 11.02312 null null -1.467739685 .1613806576 null -19.0237401764512 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 0 null null
5 null 699.5 null 133.5 19.0689 19 36.9115 36 null null null null null null 6.641472 13.75491 45 55 134 144 139.667 50.609 null null null 603.925 null null null 64.9036 null null null null null null null null null null 119.6552 65.73035 null null -.260165467 .08638291612 null -2.58547892419225 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
6 null 6155 null 102 19.4124 19 37.2263 36 null null null null null null 6.942468 14.31942 45 55 155 165 160.934 50.607 null null null 6160.11 null null null 36.7281 null null null null null null null null null null 1230.966 37.26203 null null -1.518979639 .1574062692 null -21.3086718105945 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
7 null 830 null 125 19.3733 19 37.504 36 null null null null null null 6.921429 14.73407 45 55 177 187 182 50.5 null null null 726.631 null null null 56.3332 null null null null null null null null null null 146.344 57.23573 null null -.407707802 .08945859323 null -5.28596072008259 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
8 null 9325 null 36372 19.3632 19 37.2744 36 null null null null null null 6.931206 14.53404 45 55 198 208 203.098 50.164 null null null 9581.39 null null null 37478.6 null null null null null null null null null null 1943.735 38122.48 null null 1.292544165 .1363762767 null -20.5854385158379 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
9 null 9753 null 27470 19.2962 19 37.0888 36 null null null null null null 6.969234 14.30666 45 55 219 229 224.292 50.323 null null null 9862.43 null null null 28405.7 null null null null null null null null null null 2014.201 28924.29 null null 1.15715977 .1246794558 null -19.7752799125083 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
10 null 11193 null 10084 19.0456 19 36.9994 36 null null null null null null 6.962395 14.13965 45 55 240 250 245.761 50.881 null null null 11424.4 null null null 10593.2 null null null null null null null null null null 2347.707 10796.84 null null .662652931 .08666159404 null -13.6848378663405 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
11 null 478 null 114.5 19.0065 19 36.5569 35 null null null null null null 6.749856 13.96464 46 56 261 271 266.625 51 null null null 396.866 null null null 61.9691 null null null null null null null null null null 82.00405 63.19632 null null -.1131435185 .09397859341 null -.640891157104255 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
12 null 710 null 99 19.2141 19 36.7302 36 null null null null null null 6.956887 13.90784 46 56 282 292 287.414 51.229 null null null 623.266 null null null 41.0855 null null null null null null null null null null 129.4228 41.91539 null null -.4896373965 .1004280924 null -5.96444248876147 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 1 null null
13 null 12428 null 28008 19.2399 19 36.9382 36 null null null null null null 6.845747 13.9087 46 56 303 313 308.781 51.25 null null null 12698.3 null null null 28534 null null null null null null null null null null 2648.898 29114.13 null null 1.041038632 .1149975461 null -18.855512231509 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
14 null 11503 null 9814 19.5169 19 37.2509 36 null null null null null null 7.045064 14.31781 46 56 324 334 329.781 51.25 null null null 11653.2 null null null 9925.19 null null null null null null null null null null 2440.626 10126.21 null null .617945449 .08375471499 null -12.7941478569027 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
15 null 4485 null 74 19.805 19 37.9715 37 null null null null null null 7.325407 14.62993 46 56 345 355 350.594 51.594 null null null 4733.86 null null null 8.6374 null null null null null null null null null null 994.9046 11.12571 null null -1.951453756 .1987242987 null -22.0341846401432 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 1 1 0 null null
16 null 76310 null 9853 19.6341 19 37.517 36 null null null null null null 7.072242 14.37601 46 56 366 376 371.846 51.269 null null null 77925.8 null null null 9966.22 null null null null null null null null null null 16428.91 10161.03 null null -.2086707538 .06431235149 null -2.92960338544962 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
17 null 10261 null 23532 19.6215 19 37.6284 36 null null null null null null 7.044786 14.77745 45 55 388 398 393.552 50.914 null null null 10357.7 null null null 24740.7 null null null null null null null null null null 2189.698 25206.43 null null 1.06112711 .1166466561 null -19.0319072500733 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
18 null 2933 null 302 19.512 19 37.4997 36 null null null null null null 6.903229 14.52693 46 56 409 419 414.667 51.391 null null null 2907.89 null null null 247.613 null null null null null null null null null null 616.0855 252.1079 null null -.3880545548 .07205977384 null -7.14041832618638 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
19 null 9213.5 null 21544 19.3498 19 37.3802 36 null null null null null null 6.745874 14.19974 46 56 431 441 436.2 51.1 null null null 9501.33 null null null 21972.6 null null null null null null null null null null 2016.782 22348.98 null null 1.044598801 .1152895483 null -18.8871613261279 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
20 null 1711.5 null 100.5 19.1632 19 37.2157 36 null null null null null null 6.490325 13.90153 46 56 452 462 457.305 51.322 null null null 1640.1 null null null 33.1183 null null null null null null null null null null 348.6142 33.65121 null null -1.015344353 .1190266398 null -16.8361001359473 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 22656 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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