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Sample GSM451535 Query DataSets for GSM451535
Status Public on Dec 01, 2016
Title GSY31-Rep3-g200-FRY970
Sample type genomic
 
Channel 1
Source name S cerevisiae + S bayanus genomic DNA sonicated, 300 ng each
Organism Saccharomyces cerevisiae
Characteristics reference: S cerevisiae + S bayanus genomic DNA sonicated, 300 ng each
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name GSY31-Rep3-g200-FRY970-MB1-54genomic DNA, Hae III cut, 450 ng
Organism Saccharomyces cerevisiae
Characteristics strain: GSY31
genotype: whole genome
developmental stage: 200
replicate: Rep3
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: Interspecific Hybrid, aCGH cell line
Image: http://smd.stanford.edu/MicroArray/gifs/2009-01/82546.gif
Data processing VALUE is Log (base 2) of the ratio of the median of Channel 2 (usually 635 nm) to Channel 1 (usually 532 nm)
 
Submission date Sep 10, 2009
Last update date Dec 01, 2016
Contact name Barbara Dunn
E-mail(s) [email protected]
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 GPL9174
Series (1)
GSE35549 Array CGH of interspecific hybrid yeasts using multi-species array platform

Data table header descriptions
ID_REF ID_REF
AGILENT_RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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
AGILENT_COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
AGILENT_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
AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
AGILENT_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
AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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 log(REDsignal/GREENsignal); Type: float; Scale: linear_scale
AGILENT_COMPUTED.LOG_RATIO_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_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
AGILENT_COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
AGILENT_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 AGILENT_RAW.G_MEAN_SIGNAL AGILENT_RAW.G_MEDIAN_SIGNAL AGILENT_RAW.R_MEAN_SIGNAL AGILENT_RAW.R_MEDIAN_SIGNAL AGILENT_RAW.G_MEAN_BG AGILENT_RAW.G_MEDIAN_BG AGILENT_RAW.R_MEAN_BG AGILENT_RAW.R_MEDIAN_BG AGILENT_RAW.G_NUM_PIX AGILENT_RAW.R_NUM_PIX AGILENT_RAW.G_PIX_SDEV AGILENT_RAW.R_PIX_SDEV AGILENT_RAW.G_BG_NUM_PIX AGILENT_RAW.R_BG_NUM_PIX AGILENT_RAW.G_BG_PIX_SDEV AGILENT_RAW.R_BG_PIX_SDEV AGILENT_RAW.TOP AGILENT_RAW.BOT AGILENT_RAW.LEFT AGILENT_RAW.RIGHT AGILENT_RAW.POSITION_X AGILENT_RAW.POSITION_Y AGILENT_COMPUTED.BG_PIX_CORRELATION AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION AGILENT_COMPUTED.G_BG_SD_USED AGILENT_COMPUTED.G_BG_SUB_SIGNAL AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR AGILENT_COMPUTED.G_BG_USED AGILENT_COMPUTED.R_BG_SD_USED AGILENT_COMPUTED.R_BG_SUB_SIGNAL AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR AGILENT_COMPUTED.R_BG_USED AGILENT_COMPUTED.G_DYE_NORM_SIGNAL AGILENT_COMPUTED.R_DYE_NORM_SIGNAL AGILENT_COMPUTED.G_IS_GOOD_PM AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY AGILENT_COMPUTED.R_IS_GOOD_PM AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY AGILENT_COMPUTED.G_NUM_SAT_PIX AGILENT_COMPUTED.R_NUM_SAT_PIX AGILENT_COMPUTED.G_PROCESSED_SIGNAL AGILENT_COMPUTED.R_PROCESSED_SIGNAL AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG VALUE AGILENT_COMPUTED.LOG_RATIO_ERROR AGILENT_COMPUTED.PIX_CORRELATION AGILENT_COMPUTED.P_VALUE_LOG_RATIO AGILENT_COMPUTED.DYE_NORM_CORRELATION AGILENT_COMPUTED.G_DYE_NORM_ERROR AGILENT_COMPUTED.R_DYE_NORM_ERROR AGILENT_COMPUTED.ERROR_MODEL AGILENT_COMPUTED.G_IS_FOUND AGILENT_COMPUTED.R_IS_FOUND AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.G_IS_FEAT_POPN_OL AGILENT_COMPUTED.R_IS_FEAT_POPN_OL AGILENT_COMPUTED.G_IS_SATURATED AGILENT_COMPUTED.R_IS_SATURATED AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.G_IS_BG_POPN_OL AGILENT_COMPUTED.R_IS_BG_POPN_OL AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF AGILENT_COMPUTED.IS_USED_BG_ADJUST AGILENT_COMPUTED.IS_NORMALIZATION
1 102.1288 102 85.38197 85 47.9874 48 62.57246 62 233 233 11.43349 12.05 1111 1111 5.591485 8.280331 38 65 39 66 53.11 52.195 .0134848 0 5.59149 -3.66108 8.54466 105.79 8.28033 .598525 6.28508 84.7834 -1.69911 8.3682 null null null null 0 0 3.953221 127.3621 -.574881688397132 -.0944188922371856 0 1.074936383 .0906516 0 0 3.96558 87.874 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 98.87234 99 82.60851 82 48.32028 48 63.22865 63 235 235 10.82538 11.48466 1124 1124 5.620588 8.406112 40 67 80 107 94.32 53.58 .025268 0 5.62059 -7.10028 8.54466 105.973 8.40611 -2.22462 6.28479 84.8331 -3.2319 -31.1032 null null null null 0 0 3.877226 122.9513 -1.50162189454487 -.445966573379881 0 1.108895407 .121966 0 0 3.88935 87.87 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 23399.97 23263 482.272 445 50.30365 50 63.40873 63 239 239 2723.182 117.7187 1123 1123 5.971221 8.821027 38 65 124 151 137.75 51.827 .0792852 0 5.97122 23293.9 2329.4 106.102 8.82103 397.384 40.2323 84.8878 10410.1 5555.97 null null null null 0 0 10410.11 5555.974 -308 -302.116065017105 -.2726952969 .0664736218 .805677 -4.38822514918086 0 1041.02 562.503 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4 3917.386 3944 6759.123 6760 49.77544 49 63.54561 63 236 236 422.5627 708.7316 1140 1140 5.83686 8.830798 40 67 166 193 179.65 53.86 -.023341 0 5.83686 3811.16 381.212 106.225 8.8308 6674.18 667.448 84.9422 1674.13 93314.2 null null null null 0 0 1674.13 93314.17 -308 -308 1.746158487 .1778423344 .889023 -22.0284593587199 0 167.455 9331.83 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 19300.9 19369.5 105.6765 105 50.68494 51 62.95725 62 238 238 2191.02 17.64704 1076 1076 5.817551 8.420796 39 66 208 235 222.36 52.82 .0513744 0 5.81755 19194.6 1919.48 106.302 8.4208 20.6752 6.61614 85.0013 8300.68 289.067 null null null null 0 0 8300.681 289.0674 -308 -15.2481191530066 -1.458114588 .1520091541 .187216 -21.0647022317754 0 830.076 92.5026 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 17795.24 17927.5 173.0714 173.5 50.82821 51 62.98101 62 238 238 1877.229 24.86519 1106 1106 6.009748 9.011938 40 67 252 279 265.64 53.873 .0240014 0 6.00975 17688.9 1768.91 106.38 9.01194 88.012 10.8148 85.0594 7535.04 1230.53 null null null null 0 0 7535.037 1230.528 -308 -113.076242180259 -.7869937363 .09593631081 .369305 -15.6309905494385 0 753.512 151.206 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 13462.6 13569 153.9528 153 50.55864 50 63.19069 63 233 233 1317.898 23.92684 1117 1117 6.230878 8.537099 39 66 295 322 308.93 52.548 -.030456 0 6.23088 13356.1 1335.64 106.501 8.5371 68.8389 9.3213 85.1139 5613.47 962.462 null null null null 0 0 5613.469 962.4621 -308 -87.6807460766167 -.7658477189 .09489316044 .284091 -15.1553019366918 0 561.358 130.324 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 3677.381 3691 33659.39 33319 49.90381 50 64.59074 64 239 239 432.7624 3794.276 1102 1102 6.155995 8.844731 39 66 336 363 349.94 52.698 .0213791 0 6.156 3570.75 357.177 106.632 8.84473 33574.2 3357.43 85.1672 1482.88 469414 null null null null 0 0 1482.881 469413.6 -308 -308 2.500449509 .2508390394 .864151 -22.6784044449589 0 148.331 46941.4 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 16774.13 16915 136.159 135 50.75822 51 63.27911 63 239 239 1937.057 22.56624 1125 1125 6.203707 8.947273 38 65 378 405 392.05 51.944 -.0101634 0 6.20371 16667.4 1666.76 106.764 8.94727 50.9396 8.08993 85.2194 6844.97 712.205 null null null null 0 0 6844.972 712.2048 -308 -61.0043130440944 -.9827667399 .1111785376 .279044 -18.0172019920371 0 684.506 113.108 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 15067.35 15080 183.9247 185 50.00524 50 62.54633 62 239 239 1945.252 31.80565 1144 1144 5.754071 8.576532 40 67 420 447 434.42 53.537 .0334838 0 5.75407 14960.5 1496.07 106.895 8.57653 98.6548 11.6973 85.2699 6078.59 1379.33 null null null null 0 0 6078.594 1379.329 -308 -125.763596271843 -.6441352706 .08628448823 .410605 -13.0801813999084 0 607.869 163.544 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 915.8787 911 1166.795 1156 50.11269 50 63.41856 63 239 239 123.6144 154.6349 1056 1056 6.210188 8.670755 37 64 463 490 476.85 51.305 .0594486 0 6.21019 808.88 81.3381 106.998 8.67075 1081.47 108.329 85.3281 325.678 15120.4 null null null null 0 0 325.6782 15120.39 -308 -308 1.66677416 .1706737992 .699604 -21.8019248808327 0 32.749 1514.59 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 2728.388 2735 12967.88 12908 49.54488 49 63.91652 63 237 237 295.8599 1344.639 1114 1114 5.877169 8.691438 40 67 504 531 518.29 53.842 .051636 0 5.87717 2621.29 262.268 107.101 8.69144 12882.5 1288.26 85.3879 1046.05 180115 null null null null 0 0 1046.049 180114.9 -308 -308 2.235997447 .2249123993 .807845 -22.5618027476818 0 104.66 18011.7 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
13 1874.388 1876.5 23861.19 23831.5 49.73929 50 63.76786 64 240 240 172.4364 1959.554 1120 1120 6.1117 8.568895 38 65 547 574 561.15 52.326 .0699664 0 6.1117 1767.17 176.924 107.213 8.56889 23775.7 2377.58 85.4421 699.823 332417 null null null null 0 0 699.8232 332417.4 -308 -308 2.676695476 .2682357818 .849551 -22.7245422675009 0 70.0641 33241.9 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 19967.7 19928 92.7384 91 50.7153 51 63.05605 63 237 237 1942.746 13.28944 1124 1124 6.190569 8.628551 40 67 589 616 603.14 54.42 .0311563 0 6.19057 19860.4 1986.06 107.315 8.62855 7.23714 6.32632 85.5013 7807.34 101.185 null null null null 0 0 7807.336 101.1851 -308 -2.52636415449025 -1.887386473 .1924418488 -.00985374 -21.9810670824551 0 780.741 88.4507 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 4215.701 4185 6947.357 6880 49.51446 49 62.81507 62 241 241 522.1252 867.1956 1141 1141 5.947063 8.593346 38 65 632 659 645.73 52.257 .0337891 0 5.94706 4108.28 410.917 107.419 8.59335 6861.81 686.209 85.5511 1605.3 95937.4 null null null null 0 0 1605.299 95937.43 -308 -308 1.776432262 .1806991506 .833628 -22.0815055471665 0 160.565 9594.15 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 6709.914 6653.5 5566.32 5490.5 49.55996 49 63.05996 63 244 244 809.4701 681.0307 1134 1134 5.814993 8.625069 39 66 674 701 688.25 52.604 .0090967 0 5.81499 6602.4 660.295 107.514 8.62507 5480.73 548.109 85.5943 2565.07 76628 null null null null 0 0 2565.074 76628.04 -308 -308 1.475287792 .1527337839 .893399 -21.3474514495557 0 256.529 7663.31 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 1301.071 1271 3850.9 3782 49.33304 49 63.3034 63 241 241 171.7459 514.3696 1147 1147 5.604223 8.555252 37 64 716 743 729.97 50.948 .0344177 0 5.60422 1193.47 119.653 107.596 8.55525 3765.27 376.579 85.6345 461.491 52643.6 null null null null 0 0 461.4914 52643.57 -308 -308 2.057181653 .2075744325 .854338 -22.4265590563368 0 46.2673 5265.09 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 14305.48 14316.5 108.8729 108 50.11802 50 63.32793 63 236 236 1541.767 16.83995 1110 1110 5.775445 8.20151 40 67 759 786 772.51 53.937 .00043863 0 5.77544 14197.8 1419.81 107.663 8.20151 23.1999 6.69933 85.673 5463.01 324.367 null null null null 0 0 5463.005 324.3666 -308 -18.5352065229946 -1.226395547 .1322857683 .155193 -19.7334238785381 0 546.31 93.6658 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 9858.021 9827 93.21667 93 50.5083 50 63.62183 63 240 240 1138.374 14.35164 1145 1145 6.061758 8.667077 38 65 802 829 816.26 51.692 .0350413 0 6.06176 9750.28 975.066 107.738 8.66708 7.46705 6.329 85.7496 3737.86 104.4 null null null null 0 0 3737.857 104.3996 -308 -2.65953803780817 -1.553923898 .1642816303 -.0208102 -20.5069706718711 0 373.8 88.488 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 3626.653 3664 2352.099 2355.5 49.99102 50 63.71518 63 242 242 381.0104 277.7261 1113 1113 5.811325 8.445909 40 67 844 871 857.75 53.9 .0256903 0 5.81133 3518.84 351.988 107.814 8.44591 2266.27 226.714 85.8271 1344.09 31685.6 null null null null 0 0 1344.093 31685.58 -308 -308 1.372432399 .1435069763 .798781 -20.943804543941 0 134.449 3169.78 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0

Total number of rows: 10807

Table truncated, full table size 4208 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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