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Sample GSM657055 Query DataSets for GSM657055
Status Public on Feb 01, 2012
Title v2 slide001 self ctrl
Sample type genomic
 
Channel 1
Source name 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
Organism Saccharomyces cerevisiae
Characteristics test: 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
Organism Saccharomyces cerevisiae
Characteristics lab database strain name: 55 ng sonicated complete S. cerevisiae DNA pool plus 325 ng complete other spp DNA pool
strain: none
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Scanner Model: G2505C
Description Simple annotation: Wine, aCGH cell line
Image: http://smd.stanford.edu/MicroArray/gifs/2009-11/85772.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 100 null 65 16.8412 16 39.2134 38 null null null null null null 5.542942 15.18199 45 55 45 55 50.6 50.723 null null null 23.7879 null null null 4.99919 null null null null null null null null null null 45.06297 9.269296 null null -.6867730695 .2759953957 null -1.89164659112445 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 1 null null
2 null 90.5 null 57 16.9319 17 39.4629 38 null null null null null null 5.54314 15.49432 45 55 67 77 72.1 50.906 null null null 14.6807 null null null .274588 null null null null null null null null null null 27.65801 7.932252 null null -.5424244353 .3812528714 null -.810198205631517 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 0 null null
3 null 88.5 null 66.5 17.0185 17 39.6764 38 null null null null null null 5.531146 15.57671 45 55 88 98 93.2 50.536 null null null 12.6315 null null null 6.02688 null null null null null null null null null null 23.67421 11.20225 null null -.3249702083 .3594751607 null -.436532529832355 null null null null null null 0 0 0 0 0 0 0 0 0 0 1 1 1 1 null null
4 null 354 null 270.5 17.1158 17 39.7913 39 null null null null null null 5.611808 15.5781 45 55 109 119 114.6 50.964 null null null 274.013 null null null 219.234 null null null null null null null null null null 510.8188 407.9076 null null -.09770509096 .06337331807 null -.909610920681037 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
5 null 200 null 159 16.9351 17 39.7404 39 null null null null null null 5.557548 15.46299 46 56 130 140 135.9 51.463 null null null 126.16 null null null 98.01 null null null null null null null null null null 233.9523 182.5198 null null -.1078174508 .06830413281 null -.941373158882687 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
6 null 1140.5 null 1169.5 16.825 17 39.7452 39 null null null null null null 5.492238 15.36834 46 56 151 161 156.8 51.115 null null null 1087.22 null null null 1130.69 null null null null null null null null null null 2006.307 2107.332 null null .02133566742 .06151473932 null -.137443599069796 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
7 null 203.5 null 172.5 16.8724 16 39.753 39 null null null null null null 5.502074 15.19011 46 56 173 183 178 51.203 null null null 127.915 null null null 102.032 null null null null null null null null null null 234.8721 190.2917 null null -.09141153223 .0677859352 null -.750832940097983 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
8 null 1710 null 1626 16.7428 16 39.8317 39 null null null null null null 5.47001 15.2289 46 56 194 204 199 51.774 null null null 1648.09 null null null 1549.74 null null null null null null null null null null 3011.161 2891.838 null null -.01756001578 .06147080065 null -.11062253030735 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
9 null 1152 null 1120 16.8393 16 40.2238 39 null null null null null null 5.57999 15.32334 46 56 215 225 220.3 51.764 null null null 1107.43 null null null 1016.51 null null null null null null null null null null 2013.576 1897.71 null null -.02573822634 .06153445182 null -.170215737246291 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
10 null 1090.5 null 1040.5 16.9293 16 40.22 39 null null null null null null 5.573588 15.13221 46 56 236 246 241.5 51.818 null null null 1015.52 null null null 972.802 null null null null null null null null null null 1837.707 1816.775 null null -.004975284042 .06150107183 null -.0289453199737509 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
11 null 159 null 114 16.9786 16 40.1564 39 null null null null null null 5.532938 14.90693 46 56 257 267 262.6 51.684 null null null 98.7609 null null null 59.9655 null null null null null null null null null null 177.8953 112.0202 null null -.2008683867 .07573781547 null -2.0970189604857 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
12 null 192 null 162 17.0723 17 39.9263 39 null null null null null null 5.49149 14.96486 46 56 278 288 283.9 51.774 null null null 111.608 null null null 95.9837 null null null null null null null null null null 200.1042 179.3339 null null -.04759385214 .06859065949 null -.311797418097168 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
13 null 1289 null 1324 17.0707 17 39.5228 38 null null null null null null 5.545368 15.01603 46 56 300 310 305.1 51.712 null null null 1221.8 null null null 1238.38 null null null null null null null null null null 2180.766 2313.936 null null .02574224878 .06151602604 null -.170305328616697 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
14 null 976 null 1012 17.0193 17 40.0283 39 null null null null null null 5.539352 15.28879 46 56 321 331 326.1 51.712 null null null 911.369 null null null 914.892 null null null null null null null null null null 1619.515 1709.46 null null .02347399495 .06155116151 null -.153090414528284 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
15 null 1122.5 null 1040 16.9576 17 39.8678 39 null null null null null null 5.565376 15.13256 46 56 342 352 347.2 51.745 null null null 1039.24 null null null 988.362 null null null null null null null null null null 1838.683 1846.533 null null .001850224886 .06149608348 null -.010551174893122 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
16 null 12873 null 10315.5 17.015 17 39.8149 39 null null null null null null 5.630024 15.13878 46 56 363 373 368.5 51.324 null null null 12912.9 null null null 10221 null null null null null null null null null null 22749.45 19092.51 null null -.07610779341 .06181094103 null -.661123769042433 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
17 null 963.5 null 839.5 17.1723 17 39.689 39 null null null null null null 5.811114 15.11188 46 56 384 394 389.4 51.393 null null null 891.617 null null null 772.394 null null null null null null null null null null 1564.209 1442.408 null null -.03520658627 .06161741798 null -.245845766106935 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
18 null 722 null 680 16.9101 16 39.9541 39 null null null null null null 5.534518 15.08216 46 56 405 415 410.9 51.271 null null null 637.355 null null null 637.686 null null null null null null null null null null 1113.431 1190.426 null null .02903921767 .06167015004 null -.195365404726508 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
19 null 1523 null 1464 16.8857 16 39.8821 39 null null null null null null 5.546566 15.23818 46 56 426 436 431.8 51.038 null null null 1460.13 null null null 1414.91 null null null null null null null null null null 2540.602 2640.268 null null .01671140492 .06147576173 null -.104717199032421 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null
20 null 417.5 null 428 16.8742 16 39.8318 39 null null null null null null 5.54519 15.3033 46 56 447 457 452.9 51.271 null null null 352.005 null null null 370.097 null null null null null null null null null null 609.9661 690.2442 null null .05369704536 .06221559751 null -.41106372186467 null null null null null null 0 0 0 0 0 0 1 1 0 0 1 1 1 1 null null

Total number of rows: 62976

Table truncated, full table size 22645 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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