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Sample GSM451506 Query DataSets for GSM451506
Status Public on Apr 01, 2013
Title GSY2532-200genCloneA-VesselA
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 GSY86-Rep1-200a-MB1-62genomic DNA, Hae III cut, 450 ng
Organism Saccharomyces cerevisiae
Characteristics strain: GSY86
genotype: whole genome
developmental stage: 200
replicate: Rep1
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/2009-01/82530.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 Apr 01, 2013
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)
GSE18060 Recurrent rearrangement during adaptive evolution in an interspecific yeast hybrid suggests a model for rapid introgression

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
1 147.9289 148 114.7238 115 54.34846 54 66.73503 66 239 239 16.24624 15.82517 1102 1102 7.322231 9.100739 37 64 59 86 73.293 51.335 .0707085 0 7.32223 -7.02696 13.4199 154.956 9.10074 -2.76741 16.3174 117.491 -.701021 -.259042 null null null null 0 0 1.334294 1.522338 -.758607940534281 -.180755567691591 0 .6184616639 .167942 0 0 1.33879 1.52738 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 149.7336 151 113.5852 114 52.89021 52 66.33394 66 229 229 17.06062 15.05452 1093 1093 6.451057 9.090162 37 64 102 129 115.854 50.946 .0575312 0 6.45106 -5.48714 13.4199 155.221 9.09016 -4.09469 16.3174 117.68 -.551929 -.386606 null null null null 0 0 1.345318 1.535542 -.539792467400353 -.288542033526867 0 .618475454 -.137899 0 0 1.34985 1.54063 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 17021.71 17661 23283.94 23522.5 53.9319 54 68.1903 68 224 224 2882.476 2795.488 1072 1072 7.085053 9.280924 38 65 143 170 156.521 52.22 .141569 0 7.08505 16866.1 1686.67 155.568 9.28092 23166 2316.65 117.969 1708.13 2204.26 null null null null 0 0 1708.131 2204.26 -308 -308 .1107417274 .06224716947 .877264 -1.12361371152078 0 170.818 220.431 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4 4529.069 4751 12503.18 12887 55.13733 55 67.85069 68 231 231 906.4145 2042.672 1085 1085 7.483841 9.115486 37 64 186 213 199.944 50.97 .0793416 0 7.48384 4373.16 437.522 155.913 9.11549 12384.9 1238.6 118.256 446.114 1186.66 null null null null 0 0 446.1139 1186.664 -308 -308 .4248818886 .07274542525 .861923 -8.28406450698206 0 44.6324 118.677 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 16374.17 16781 16591.24 16664 56.82588 56 69.05423 68 221 221 2901.974 2291.509 1051 1051 7.591671 9.864796 39 66 228 255 241.865 53.339 .0859279 0 7.59167 16217.8 1621.84 156.337 9.8648 16472.6 1647.34 118.632 1663.55 1588.72 null null null null 0 0 1663.548 1588.718 -308 -308 -.01998867042 .06144815286 .885235 -.127867555107769 0 166.361 158.88 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 24683.9 25556 29467.12 29483 55.37376 55 68.70769 68 234 234 4601.286 4465.77 1105 1105 7.360209 9.786886 38 65 271 298 284.583 51.564 .108189 0 7.36021 24527.1 2452.75 156.761 9.78689 29348.1 2934.86 119 2531.08 2845.37 null null null null 0 0 2531.083 2845.369 -308 -308 .05083224742 .06159452227 .886811 -.388046261797789 0 253.112 284.541 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
7 18082.29 18496 17430.53 17673.5 53.51068 53 67.65569 67 222 222 2762.751 2236.05 1124 1124 6.418533 9.421455 38 65 313 340 327.373 52.159 .0848422 0 6.41853 17925.2 1792.57 157.08 9.42145 17311.3 1731.2 119.255 1858.82 1686.65 null null null null 0 0 1858.824 1686.651 -308 -308 -.04221288935 .06154147457 .912488 -.307364678425415 0 185.888 168.673 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 6688.117 6904.5 17408.13 17614 54.00626 54 67.60286 67 230 230 1080.798 2446.25 1118 1118 7.038897 9.277174 37 64 355 382 368.555 50.638 .0512711 0 7.0389 6530.76 653.214 157.36 9.27717 17288.7 1728.94 119.468 680.419 1690.84 null null null null 0 0 680.4187 1690.843 -308 -308 .3953270909 .07131431945 .884893 -7.52786417565361 0 68.0562 169.092 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 16532.72 17065.5 13640.87 13731.5 55.32237 55 67.24201 67 230 230 3251.621 2140.437 1095 1095 7.311757 9.758551 39 66 397 424 411.437 52.919 .0844944 0 7.31176 16375.1 1637.56 157.619 9.75855 13521.2 1352.22 119.661 1711.83 1327.52 null null null null 0 0 1711.827 1327.525 -308 -308 -.1104171916 .06224366176 .894096 -1.118779317209 0 171.188 132.762 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 14422.02 14819 14622.55 14893 55.38187 55 67.57418 67 236 236 2665.215 2456.875 1092 1092 7.003453 9.525064 38 65 440 467 454.333 51.61 .0852249 0 7.00345 14264.2 1426.48 157.857 9.52506 14502.7 1450.36 119.835 1496.83 1427.85 null null null null 0 0 1496.829 1427.854 -308 -308 -.02048819072 .06145026253 .837143 -.131458949337388 0 149.69 142.794 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 2769.915 2824 2588.879 2613 53.34901 53 66.38788 66 223 223 436.5085 338.8373 1106 1106 6.586788 9.004805 39 66 483 510 496.581 53.157 .052323 0 6.58679 2611.75 261.52 158.165 9.00481 2468.8 247.418 120.083 274.759 243.687 null null null null 0 0 274.7587 243.6866 -308 -308 -.05211977666 .06170722209 .786268 -.39977071785513 0 27.5121 24.4218 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
12 5319.95 5299 14309.52 14282 52.29525 52 66.45704 66 221 221 697.5469 1731.76 1094 1094 6.263477 9.096287 40 67 524 551 538.45 53.577 .0496584 0 6.26348 5161.48 516.323 158.466 9.09629 14189.2 1419.01 120.326 544.273 1403.21 null null null null 0 0 544.2734 1403.21 -308 -308 .4113055988 .07207820554 .84678 -7.93777726079959 0 54.4457 140.33 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
13 9044.07 9106 7014.17 7008 53.72091 54 67.00378 66 229 229 1192.046 757.1976 1057 1057 6.559653 9.296973 42 69 567 594 580.71 56.465 .0566011 0 6.55965 8885.37 888.638 158.705 9.29697 6893.66 689.559 120.507 938.151 682.889 null null null null 0 0 938.1509 682.8892 -308 -308 -.1379224648 .06270776511 .90172 -1.55523588202774 0 93.8258 68.308 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 18238.15 18496.5 17879.98 17715 53.30276 53 67.20659 67 218 218 2417.25 2282.237 1123 1123 6.433193 8.865004 40 67 609 636 622.89 53.671 .0544283 0 6.43319 18079.2 1807.97 158.968 8.865 17759.3 1776 120.716 1913.56 1760.35 null null null null 0 0 1913.555 1760.351 -308 -308 -.03624166296 .06150966983 .793345 -.255139821188101 0 191.361 176.043 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 8039.769 8037.5 19396.93 19295.5 52.57439 52 67.12173 67 216 216 969.9409 2222.097 1109 1109 6.121595 8.934406 41 68 651 678 665.01 55.464 .102698 0 6.1216 7880.6 788.174 159.167 8.93441 19276.1 1927.68 120.865 834.776 1912.05 null null null null 0 0 834.7759 1912.046 -308 -308 .3599283785 .06971040082 .776193 -6.61480449473819 0 83.4897 191.211 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 8267.377 8464 24382.34 24573 53.7457 53 68.65701 68 223 223 1208.765 3686.649 1105 1105 6.865395 9.543617 39 66 695 722 708.94 53.442 .109472 0 6.86539 8108.04 810.915 159.338 9.54362 24261.3 2426.19 120.991 860.22 2406.46 null null null null 0 0 860.2197 2406.459 -308 -308 .4467690365 .07384352853 .795235 -8.83966675422272 0 86.0338 240.651 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 4670.978 4744 13562.69 13242 54.66039 54 67.69086 67 227 227 697.1627 2027.528 1116 1116 6.777455 8.920895 42 69 736 763 750.4 55.708 .0406568 0 6.77745 4511.47 451.347 159.506 8.9209 13441.6 1344.26 121.119 478.627 1333.26 null null null null 0 0 478.6274 1333.255 -308 -308 .4449157986 .0737542833 .772718 -8.79173047945018 0 47.8839 133.335 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 15658.97 15922 4876.968 4850 53.44344 53 66.68959 66 217 217 1884.109 543.6009 1105 1105 6.799051 9.295205 41 68 779 806 792.99 55.266 -.00183314 0 6.79905 15499.3 1549.99 159.675 9.29521 4755.71 475.851 121.256 1645.09 471.451 null null null null 0 0 1645.095 471.4513 -308 -308 -.5427540216 .07914647854 .741031 -11.1547010557374 0 164.516 47.1729 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 18605.18 18796 17994.66 17882 53.06887 53 66.60147 66 238 238 3170.112 2669.025 1089 1089 6.619506 9.452233 42 69 822 849 835.51 56.047 .0341959 0 6.61951 18445.2 1844.57 159.953 9.45223 17873.2 1787.39 121.496 1957.42 1770.5 null null null null 0 0 1957.416 1770.505 -308 -308 -.04358592595 .0615493217 .862573 -.319796521024462 0 195.747 177.058 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 4891.996 4958 4702.354 4724 53.13451 53 67.68646 67 229 229 752.9261 614.4429 1078 1078 6.305993 9.323049 42 69 864 891 877.66 55.545 .104038 0 6.30599 4731.78 473.368 160.215 9.32305 4580.63 458.354 121.723 502.106 453.26 null null null null 0 0 502.106 453.2602 -308 -308 -.04444779106 .06158357633 .714726 -.327486760872362 0 50.2308 45.3548 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1

Total number of rows: 10807

Table truncated, full table size 4175 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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