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Sample GSM406526 Query DataSets for GSM406526
Status Public on May 22, 2009
Title GSY504-DyeSwap
Sample type genomic
 
Channel 1
Source name GSY504 genomic DNA 350 ng HaeIII cut
Organism Saccharomyces cerevisiae
Characteristics strain name: GSY504=CBS1484
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name Sbay CBS7001 + Scer S288C genomic DNA, sonicated, 400 ng each
Organism Saccharomyces cerevisiae
Characteristics reference: Sbay CBS7001 + Scer S288C genomic DNA sonicated, 400 ng ea
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Feature Extraction; Software and parameters for feature extraction.; Protocol Type = Feature Extraction; Parameter Datafile type = Agilent result file; Software: type: feature extraction; Performer: Barbara,,Dunn
Description Simple annotation: Beer, DNA
Image: http://smd.stanford.edu/MicroArray/gifs/2006-10/70730.gif
Strain Name: GSY504=CBS1484
Data processing VALUE is log10(test/reference)
 
Submission date May 21, 2009
Last update date May 21, 2009
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 GPL7077
Series (1)
GSE12177 Saccharomyces pastorianus strains comparison

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 log10 (test/reference)
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
INV_VALUE log(REDsignal/GREENsignal); Type: float; 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 INV_VALUE
1 105.2281 104 78.22807 77 47.24483 47 66.04138 66 57 57 7.901215 7.245732 290 290 3.735001 6.493943 153 153 61 61 61.8174 153.548 -.0503502 0 3.735 3.39293 4.74213 101.835 6.49394 .675717 8.39582 77.5524 8.15721 1.21544 null null null null 0 0 11.33397 15.05106 -1.19999817218203 -.0786371554498884 0 .627085245 -.0470882 0 0 11.4009 15.1019 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 102.807 102 79 78 48.02405 48 66.57388 66 57 57 9.101488 7.171372 291 291 4.272943 6.304121 151 151 83 83 83.3182 151.891 -.0180519 0 4.27294 .979615 4.73099 101.827 6.30412 1.46684 8.39683 77.5332 2.38469 2.64435 null null null null 0 0 11.47602 15.08465 -.22869038009249 -.187120051909944 0 .6258781 -.159775 0 0 11.5167 15.1375 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
3 1196.732 1196.5 506.0179 498.5 48.0318 48 66.89399 67 56 56 108.5019 55.39002 283 283 4.08453 5.8917 153 153 104 104 104.297 153.585 .0017615 0 4.08453 1094.92 109.594 101.811 5.8917 428.504 43.6651 77.5138 2696.19 775.574 null null null null 0 0 2696.193 775.5741 -308 -280.433928011062 0.541128 .0792285498 .519529 -11.0708939393207 0 269.871 79.032 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 -.5411277624
4 682.3729 700 583.2881 580 47.33333 47 65.96774 66 59 59 98.19648 55.59058 279 279 3.863684 5.982201 151 151 125 125 125.606 151.953 .0502684 0 3.86368 580.552 58.2476 101.821 5.9822 505.789 51.2709 77.4995 1444.3 916.143 null null null null 0 0 1444.299 916.1425 -308 -303.058779353792 0.197694 .06442356166 .498249 -2.6675212517471 0 144.908 92.8678 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1 -.1976941141
5 680.7018 682 383.0175 380 47.26296 47 66.6037 66 57 57 75.81509 45.03312 270 270 3.603143 6.438325 153 153 146 146 146.442 153.533 .0255014 0 3.60314 578.885 58.0814 101.817 6.43833 305.533 31.6858 77.4849 1453.64 554.772 null null null null 0 0 1453.635 554.7717 -308 -234.751602461029 0.418341 .07296977696 .592879 -8.00600401616193 0 145.848 57.5335 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 -.4183410734
6 1008.14 994 485.4035 484 47.15734 47 66.25524 66 57 57 98.22904 52.28625 286 286 3.982382 6.393628 152 152 167 167 167.75 152.276 .163783 0 3.98238 906.328 90.7561 101.813 6.39363 407.931 41.6481 77.472 2295.01 740.506 null null null null 0 0 2295.01 740.5057 -308 -273.74455863543 0.491256 .07645484601 .547111 -9.88111481547618 0 229.813 75.6026 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.4912561058
7 363.5345 374 369.2414 365 47.89547 48 66.86063 66 58 58 39.95094 36.27348 287 287 4.024776 6.986607 153 153 188 188 188.508 153.074 .017137 0 4.02478 261.72 26.596 101.814 6.98661 291.777 30.3615 77.4645 667.642 529.984 null null null null 0 0 667.6417 529.9838 -290.741947277286 -228.59838064372 0.100281 .06369264943 .42479 -.93785585521311 0 67.8457 55.1487 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 -.1002808544
8 529.4821 533 614.9643 616 47.57554 48 65.07194 65 56 56 40.81399 37.49083 278 278 3.699894 6.282909 152 152 210 210 210.643 152.391 .0140529 0 3.69989 427.667 43.0275 101.815 6.28291 537.504 54.4021 77.4604 1098.55 975.325 null null null null 0 0 1098.553 975.3247 -308 -311.38280668199 0.0516718 .06213894229 .341166 -.391835983836121 0 110.525 98.715 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.05167177899
9 1003.684 1011 509.1053 508 48.15468 48 65.73741 65.5 57 57 103.9756 38.72554 278 278 4.141168 6.056244 152 152 231 231 231.119 152.941 .0589151 0 4.14117 901.879 90.3119 101.805 6.05624 431.656 43.9745 77.4489 2329.75 782.765 null null null null 0 0 2329.754 782.7651 -308 -281.431497895006 0.473679 .07549145 .576837 -9.45527092809088 0 233.296 79.7433 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.4736786907
10 1192 1197.5 524.7857 527.5 47.56897 47 65.24483 65 56 56 115.3691 51.32453 290 290 3.804532 6.313499 151 151 252 252 252.512 151.951 -.0650263 0 3.80453 1090.2 109.123 101.796 6.3135 447.348 45.5158 77.4373 2830.82 809.433 null null null null 0 0 2830.815 809.4325 -308 -286.29493037009 0.543731 .07937178441 .508902 -11.1329561022624 0 283.348 82.3564 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.5437308811
11 481.1296 474 305.2037 301.5 47.52 48 65.18545 65 54 54 49.28739 36.03791 275 275 3.810588 6.533334 153 153 273 273 273.918 153.5 .022353 0 3.81059 379.34 38.2278 101.789 6.53333 227.777 24.2757 77.4265 989.275 411.74 null null null null 0 0 989.2752 411.7397 -308 -195.93725636047 0.380694 .07179944732 .223037 -6.94149533891718 0 99.6936 43.8818 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.3806944198
12 658.5833 660.5 662.3833 664.5 47.79496 48 66.01079 66 60 60 75.46001 60.04972 278 278 3.837546 6.193909 153 153 293 293 293.81 153.281 .00191599 0 3.83755 556.794 55.88 101.789 6.19391 584.957 59.0951 77.4266 1457.12 1054.87 null null null null 0 0 1457.125 1054.874 -308 -323.005185347452 0.140296 .0631106301 .512866 -1.58145578025335 0 146.237 106.568 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.1402959954
13 118.3684 119 426.4912 429 47.60573 47 65.54122 65 57 57 11.31944 42.88861 279 279 3.719785 6.214764 153 153 316 316 316.302 153.865 -.0293255 0 3.71979 16.5787 5.01211 101.79 6.21476 349.062 35.9017 77.4292 43.5259 627.864 null null null null 0 0 43.5259 627.8636 -17.0350373914246 -252.646347232528 -1.15912 .1307298909 .361564 -18.1221900260868 0 13.1588 64.5769 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 1.159117495
14 1129.035 1132 648.7544 647 48.34545 48 65.16 65 57 57 124.1023 64.97892 275 275 4.705247 6.237092 153 153 336 336 336.714 153.319 .0115407 0 4.70525 1027.25 102.833 101.789 6.23709 571.326 57.7462 77.4282 2703.55 1024.23 null null null null 0 0 2703.554 1024.23 -308 -319.746787543356 0.421537 .0727358158 .531512 -8.16663069189853 0 270.642 103.523 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.4215373884
15 228.0714 229.5 664.3214 674 49.04181 49 66.60976 66 56 56 22.94567 49.78101 287 287 4.457844 6.278026 153 153 358 358 358.098 153.374 .0882898 0 4.45784 126.284 13.4851 101.788 6.27803 586.901 59.2875 77.4205 333.015 1048.57 null null null null 0 0 333.0148 1048.572 -193.447942902254 -323.306215343116 -0.498135 .07778387925 .345865 -9.82024146293368 0 35.5607 105.925 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 .4981347176
16 196.3077 197.5 534.3846 531 47.86268 48 65.22535 65 52 52 19.03613 53.37259 284 284 4.436296 6.210551 152 152 379 379 379.296 152.53 .115271 0 4.4363 94.5197 10.5694 101.788 6.21055 456.974 46.4622 77.4109 249.646 813.033 null null null null 0 0 249.6464 813.0326 -156.702145420184 -289.197130535297 -0.512783 .07941358909 .406953 -9.9717650099965 0 27.916 82.664 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 .5127827296
17 314.4821 318 521 526 47.85357 48 65.22857 65 56 56 43.5531 57.35155 280 280 4.152555 6.43004 153 153 400 400 400.542 153.575 .0294474 0 4.15256 212.691 21.7887 101.791 6.43004 443.598 45.1473 77.4021 562.236 786.616 null null null null 0 0 562.2358 786.6159 -262.627614622218 -285.147698762645 -0.145844 .06410440572 .565697 -1.64017197772756 0 57.5971 80.058 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 .1458442789
18 486.4545 485 441.2 446 47.59649 48 65.41754 66 55 55 50.83299 51.26525 285 285 4.076123 6.334933 152 152 421 421 421.565 152.315 .0635469 0 4.07612 384.658 38.7556 101.796 6.33493 363.799 37.3361 77.4008 1017.64 642.015 null null null null 0 0 1017.641 642.0146 -308 -258.229493352952 0.20005 .06490848231 .362665 -2.68698317114972 0 102.531 65.8889 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.2000496156
19 320.2712 325 375.2542 372 47.33808 47 64.02847 64 59 59 36.03726 34.88681 281 281 4.256458 6.005882 153 153 443 443 443.268 153.813 .0788358 0 4.25646 218.468 22.353 101.803 6.00588 297.853 30.9459 77.4016 577.926 523.757 null null null null 0 0 577.9263 523.7566 -266.247054680743 -231.348677395554 0.0427429 .0634084687 .203787 -.300808516534968 0 59.1316 54.4165 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 -.04274291944
20 171.8983 170 459.7627 462 47.8556 47 64.92419 65 59 59 18.52184 44.30316 277 277 4.21618 6.065885 152 152 464 464 464.277 152.807 .0787639 0 4.21618 70.0882 8.45555 101.81 6.06588 382.365 39.1473 77.3981 185.421 669.034 null null null null 0 0 185.4211 669.0343 -121.098003095206 -264.964398179205 -0.557289 .08303488064 .152323 -10.715291346394 0 22.3695 68.4972 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 .5572892659

Total number of rows: 10807

Table truncated, full table size 4347 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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