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Sample GSM656993 Query DataSets for GSM656993
Status Public on Feb 01, 2012
Title v2 aCGH GSY2196-2
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 genomic DNA of GSY 2196
Organism Saccharomyces cerevisiae
Characteristics lab database strain name: GSY 2196
type: Wine - commercially produced strain
strain: N96
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/2009-11/85764.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 53 null 54 17.0329 17 39.0663 38 null null null null null null 5.692616 16.31052 46 56 48 58 53.9 51.403 null null null -17.4802 null null null -18.5815 null null null null null null null null null null 8.812314 10.69967 null null 0 .6229300946 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 0 0 null null
2 null 51 null 56 17.0174 17 39.244 38 null null null null null null 5.674445 16.40974 46 56 69 79 74.96 51.02 null null null -18.4615 null null null -15.354 null null null null null null null null null null 8.925337 10.91275 null null 0 .6232824931 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 0 0 null null
3 null 65 null 44 17.1006 17 39.4451 38 null null null null null null 5.858142 16.40285 46 56 91 101 96.4 51.586 null null null -10.0266 null null null -19.6857 null null null null null null null null null null 9.05484 11.16408 null null 0 .6237211691 null 0 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 0 0 null null
4 null 7525.5 null 73 17.3841 17 40.1241 39 null null null null null null 5.929001 16.66643 46 56 112 122 117.21 51.839 null null null 7497.14 null null null 2.28509 null null null null null null null null null null 1256.741 11.39806 null null -2.042414909 .2075207422 null -22.1293881258365 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 0 1 0 null null
5 null 123.5 null 112.5 17.4916 17 40.6405 39 null null null null null null 5.912098 16.65024 46 56 133 143 138.6 51.586 null null null 52.0897 null null null 49.3295 null null null null null null null null null null 9.286326 14.19869 null null .1844044474 .56544214 null -.128234313815171 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 0 1 null null
6 null 8495 null 123.5 17.5361 17 40.94 40 null null null null null null 5.837566 16.94185 46 56 154 164 159.27 51.821 null null null 8721.22 null null null 67.76 null null null null null null null null null null 1498.139 19.89319 null null -1.876847554 .1912068168 null -22.0164959646301 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 0 1 1 null null
7 null 268 null 216 17.4462 17 40.9474 40 null null null null null null 5.843501 17.04281 46 56 176 186 181 51.5 null null null 191.487 null null null 152.105 null null null null null null null null null null 33.27733 45.49652 null null .1358297818 .1830170194 null -.339149493181488 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 1 1 null null
8 null 6251 null 53115 17.3152 17 40.3035 39 null null null null null null 5.970584 16.85047 45 55 197 207 202.21 50.854 null null null 6093.96 null null null 57084.7 null null null null null null null null null null 1070.137 17364.93 null null 1.210233703 .1292213334 null -20.1213152520522 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
9 null 5535.5 null 52790 17.1562 17 40.2847 39 null null null null null null 5.913824 16.98758 46 56 218 228 223 51.07 null null null 5513 null null null 55005.5 null null null null null null null null null null 979.2264 17048.58 null null 1.240805053 .1318643798 null -20.3031839469781 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
10 null 3803 null 3116 17.1252 17 40.0026 39 null null null null null null 5.957259 17.03294 46 56 239 249 244.48 51.803 null null null 3828.89 null null null 3195.14 null null null null null null null null null null 688.5289 1010.749 null null .166721334 .06383330026 null -2.0454649506307 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
11 null 183 null 190 17.1784 17 39.9894 39 null null null null null null 5.975378 16.9415 46 56 260 270 265.56 51.973 null null null 106.435 null null null 126.639 null null null null null null null null null null 19.34861 40.79042 null null .3239085139 .2580867701 null -.678888044405184 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 1 1 null null
12 null 221 null 164 17.3525 17 40.1083 39 null null null null null null 6.007789 16.95611 47 57 281 291 286.62 52 null null null 151.482 null null null 101.256 null null null null null null null null null null 27.82349 33.18187 null null .07648922312 .2465666678 null -.12125089928577 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 0 1 1 null null
13 null 5498.5 null 42398.5 17.3897 17 39.9531 39 null null null null null null 5.928999 16.89528 46 56 302 312 307.77 51.656 null null null 5591.7 null null null 43363.1 null null null null null null null null null null 1036.843 14438.19 null null 1.143799858 .1235552091 null -19.6788723498535 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
14 null 6965 null 7569.5 17.3528 17 39.8903 39 null null null null null null 5.901057 17.10228 46 56 324 334 329 51.932 null null null 7059.75 null null null 7684.71 null null null null null null null null null null 1322.55 2603.51 null null .2941472721 .06717222697 null -4.92363486905792 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
15 null 4214 null 64 17.2947 17 40.4853 39 null null null null null null 5.926517 17.3192 47 57 344 354 349.74 52.778 null null null 4283.34 null null null -1.30005 null null null null null null null null null null 811.0195 13.92805 null null -1.765141015 .1837182181 null -21.1303915787838 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 0 1 0 null null
16 null 93880.5 null 4579 17.3673 17 40.1929 39 null null null null null null 6.009607 17.15739 46 56 366 376 371.45 51.754 null null null 94685.9 null null null 4530.74 null null null null null null null null null null 18069.89 1584.271 null null -1.057125994 .1163216115 null -18.9960403248006 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
17 null 4781 null 22076.5 17.0644 16 39.9115 39 null null null null null null 5.961504 16.78833 46 56 387 397 392.16 51.638 null null null 4869.75 null null null 23821.9 null null null null null null null null null null 937.3963 8454.397 null null .9551594015 .1081093528 null -18.0000503220546 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
18 null 17138 null 374 17.1504 17 40.3386 39 null null null null null null 5.980741 17.10085 47 57 408 418 413.23 52.821 null null null 17424.2 null null null 320.559 null null null null null null null null null null 3389.473 115.8535 null null -1.466222962 .1521179305 null -21.2607049544645 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
19 null 4668 null 29317.5 17.2162 17 40.2981 39 null null null null null null 5.940297 17.23427 46 56 429 439 434.45 51.638 null null null 4562.07 null null null 29993.6 null null null null null null null null null null 893.4496 10967.99 null null 1.089057102 .1189731722 null -19.2599277301329 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 0 1 1 null null
20 null 9195 null 175.5 17.2769 17 39.7401 39 null null null null null null 5.907564 16.95599 47 57 450 460 455.72 52.246 null null null 9496.68 null null null 102.818 null null null null null null null null null null 1877.065 38.2079 null null -1.691326265 .1735292067 null -21.7196957099382 null null null null null null 0 0 0 0 0 0 0 1 0 0 1 0 1 1 null null

Total number of rows: 62976

Table truncated, full table size 22611 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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