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Sample GSM616065 Query DataSets for GSM616065
Status Public on Nov 02, 2011
Title E4_acetate_a
Sample type RNA
 
Channel 1
Source name pooled reference
Organism Saccharomyces cerevisiae
Characteristics reference: pool of 6 parental strains
Extracted molecule total RNA
Extraction protocol not provided
Label Cy3
Label protocol LRILAK labeling
 
Channel 2
Source name E4_acetate_a
Organism Saccharomyces cerevisiae
Characteristics strain name: E4
media: aerobic
Growth protocol Wenger 2010 chemostat; Strains for chemostat cell cultures were grown 1% YPD cultures and 1mL aliquots were frozen in 15% glycerol at -80 oC. The entire contents of a single1mL frozen aliquot of evolved (E1-E5) or ancestral (CP1AB or simply P) isolates were used to inoculate an individual chemostat (ATR SixFors fermentation apparatus, ATR Biotechnologies) with working volume set to 400mL of minimal (SC) media defined by [1]. Batch cultures were then grown for 24 hours to achieve saturation. After saturation was achieved, chemostat pumps were turned on to the desired dilution rate and 2-3 vessel volumes of turnover were allowed so cultures could reach steady state. The dilution rate was set to 0.17hr-1 for aerobic (0.08% glucose) and anaerobic glucose limitation (0.08% glucose + 420mg mL-1 Tween 80 + 10mg L-1 ergosterol) and 0.05hr-1 for aerobic acetate limitation (10.9g/L sodium acetate). Aerobic conditions were achieved by sparging with 25 L h-1 of sterile air and anaerobic conditions by sparging cultures with 25 L hr-1 sterile-filtered, humidified N2 (g).
Extracted molecule total RNA
Extraction protocol To isolate total RNA, 100mL of sample was quickly filtered through 0.45 mm Nylon filters (Whatman) and flash frozen in liquid nitrogen. RNA for gene-expression measurements was isolated using the hot acid-phenol method described by [2].1. Adams J, Hansche PE (1974) Population studies in microorganisms. I.Evolution of diploidy in Saccharomyces cerevisiae. Genetics 76: 327-338.2. Ferea TL, Botstein D, Brown PO, Rosenzweig RF (1999) Systematicchanges in gene expression patterns following adaptive evolution in yeast.Proceedings of the National Academy of Sciences 96: 9721-9726
Label Cy5
Label protocol LRILAK labeling
 
 
Hybridization protocol not provided
Scan protocol Agilent Feature Extraction
Description Image: http://smd.stanford.edu/MicroArray/gifs/2010-06/88657.gif
Data processing Agilent Feature Extraction software
 
Submission date Nov 02, 2010
Last update date Nov 02, 2011
Contact name Jared Wenger
E-mail(s) jwenger@stanford.edu
Phone 650 498 5995
Fax 650-724-3701
Organization name Stanford University Medical School
Lab S225, Grant Building
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platform ID GPL9825
Series (1)
GSE25081 Genomic Characterization of Adaptive Mutations that Effect Minimal Fitness Trade-offs in Evolved Clones of Saccharomyces cerevisiae

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)
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 1251.667 1260 2807.694 2818.5 49.66143 49 67.19952 65 36 36 161.7884 219.687 827 827 9.343019 16.27592 2575 2585 343 353 348.691 2580.31 .201381 0 9.34302 1135.84 114.012 115.822 16.2759 2558.43 257.667 249.263 953.093 636.524 null null null null 0 0 953.0931 636.5244 -109.802372145189 -97.6628823183199 -.1753202459 .06377747737 .451921 -2.2233791807078 0 95.6678 64.1061 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
2 113.4286 113 224.0286 228 50.22788 49 67.70107 66 35 35 16.80561 33.82175 746 746 10.36251 16.05997 2575 2585 369 379 374.151 2580.81 .153704 0 10.3625 -3.15893 9.86069 116.588 16.06 -26.4049 30.6 250.433 6.67871 9.79044 null null null null 0 0 6.678713 9.790437 -.389637984460036 -1.55095379609615 0 .6208635041 .0778027 0 0 6.55795 9.60546 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 110.2162 107 198.7568 201 49.12055 49 66.28356 64 37 37 17.14665 41.23066 730 730 9.576734 16.32339 2575 2585 394 404 399.955 2580.61 .136995 0 9.57673 -7.09795 9.86069 117.314 16.3234 -52.561 30.6 251.318 6.67871 9.79044 null null null null 0 0 6.678713 9.790437 -1.18409499399883 -4.51066741163878 0 .6208635041 .0211367 0 0 6.55795 9.60546 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 3365 3288 11614.56 10904 54.07929 49 70.32362 65 39 39 431.7394 1926.636 618 618 21.65596 27.79017 2576 2586 419 429 424.812 2581.09 .468542 0 21.656 3247.01 324.85 117.993 27.7902 11362.3 1136.65 252.229 2708.64 2843.52 null null null null 0 0 2708.642 2843.525 -141.723614031643 -141.672594062166 .02110542923 .06147388437 .540716 -.135871703930166 0 270.989 284.456 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
5 7292.667 7196 11864.26 11583 65.01768 51 72.53537 66 39 39 847.943 1793.634 622 622 45.73998 26.77384 2576 2586 445 455 450.061 2581.38 .49312 0 45.74 7174.03 717.471 118.634 26.7738 11611 1161.51 253.228 5875.12 2959.89 null null null null 0 0 5875.116 2959.888 -165.82208275757 -142.311958570569 -.2977412022 .06719900235 .608364 -5.02728378425057 0 587.567 296.092 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 1 1 0 0
6 21111.66 20829 61018.98 62660 50.29721 49 69.19814 66 41 41 2269.734 4356.865 646 646 10.39655 19.30717 2576 2586 470 480 475.747 2581 .277864 0 10.3966 20992.4 2099.26 119.268 19.3072 60764.9 6076.57 254.03 14615.1 18220.9 null null null null 0 13 14615.1 18220.95 -198.462725057906 -191.188184456249 .09576915467 .06203865539 .910269 -.911294479775829 0 1461.53 1822.12 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 17309.26 17147.5 59295.42 59305 51.23364 50 69.91121 67 38 38 1297.553 4501.166 642 642 12.27003 19.82836 2576 2586 496 506 501 2581.43 .328494 0 12.27 17189.4 1718.96 119.909 19.8284 59040.8 5904.16 254.625 12264.5 17275.1 null null null null 0 5 12264.45 17275.13 -192.386576824158 -190.338124871379 .1487732148 .06290476347 .838684 -1.74406691881299 0 1226.47 1727.54 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 23343.11 23295.5 40474.47 39594.5 56.74689 50 73.04814 67 38 38 2952.579 5433.261 644 644 24.56178 26.64243 2575 2585 521 531 526.359 2580.98 .556487 0 24.5618 23222.5 2322.27 120.578 26.6424 40219.3 4022.05 255.133 16713.3 11666.5 null null null null 0 0 16713.28 11666.5 -201.532048737623 -179.001396763287 -.1561210182 .06305341737 .861942 -1.876608682722 0 1671.34 1166.68 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
9 null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null
10 3414.128 3407 6650.974 6748 50.26577 49 68.91742 67 39 39 338.6225 821.2803 666 666 10.87481 16.99918 2576 2586 572 582 577.37 2581.84 .153218 0 10.8748 3292.13 329.361 121.997 16.9992 6395.06 640.238 255.913 2769.11 1587.23 null null null null 0 0 2769.112 1587.227 -142.143144886589 -124.700529747567 -.2417015773 .06531342387 .696855 -3.66745049185216 0 277.035 158.904 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 369.5641 364 756.0769 755 50.30963 49 70.18667 69 39 39 52.46894 141.5672 675 675 11.33482 17.73906 2576 2586 597 607 602.068 2581.88 .220977 0 11.3348 246.954 26.5913 122.61 17.7391 499.939 58.6152 256.138 195.853 131.601 null null null null 0 0 195.8528 131.6014 -63.6469131613445 -49.964498218937 -.1726692437 .07022358668 .264371 -1.85579033397994 0 21.0888 15.4296 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
12 24606.17 24075.5 62331.3 64573.5 49.94225 49 70.57143 68 40 40 3588.26 3460.914 658 658 10.36178 18.35649 2577 2587 622 632 627.781 2582.08 .164507 0 10.3618 24483 2448.32 123.182 18.3565 62075.1 6207.58 256.224 16715.3 18981.3 null null null null 0 15 16715.29 18981.29 -203.138898306988 -191.818144983403 .05521181281 .06162564235 .832985 -.431453273427648 0 1671.54 1898.15 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
13 1896.769 1883 5205.667 5179 52.68405 50 70.52012 67 39 39 216.8024 761.6318 671 671 13.12904 18.51468 2576 2586 648 658 653.141 2581.82 .218577 0 13.129 1773.04 177.578 123.726 18.5147 4949.51 495.896 256.159 1491.1 1228.66 null null null null 0 0 1491.099 1228.662 -123.333510099737 -117.13554587933 -.08407421596 .06200112478 .629339 -.756724671977116 0 149.34 123.101 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 248.25 242.5 613.9444 595 52.11478 49 69.73899 66 36 36 33.01893 112.9571 636 636 14.52658 19.03857 2577 2587 674 684 679.264 2582.22 .229605 0 14.5266 123.911 15.8358 124.339 19.0386 358.025 47.0975 255.92 94.9921 97.4974 null null null null 0 0 94.99211 97.49744 -43.3881259362142 -40.5978882814292 .01130564865 .07969337158 .292749 -.0519847565870035 0 12.14 12.8256 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
15 1953.579 1931.5 5302.395 5158 53.123 50 71.3131 68 38 38 215.319 642.7147 626 626 15.51152 21.64346 2577 2587 698 708 703.816 2582.57 .267058 0 15.5115 1828.59 183.125 124.985 21.6435 5046.74 505.601 255.657 1538.26 1252.44 null null null null 0 0 1538.257 1252.439 -124.271072678732 -117.709847365663 -.08927243765 .06205653479 .551992 -.823117732764584 0 154.049 125.474 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 18148.03 18004.5 60361.08 60460.5 57.51177 50 75.9325 70 38 38 1271.24 3800.28 637 637 26.7357 27.10126 2577 2587 724 734 729.408 2582.25 .583371 0 26.7357 18022.5 1802.27 125.551 27.1013 60105.8 6010.65 255.312 12770.6 17708.3 null null null null 0 7 12770.61 17708.29 -193.825414005464 -190.86607167857 .1419651025 .06277317056 .848687 -1.62479769644677 0 1277.08 1770.85 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 8853.973 8620 12153.22 11699 50.99392 50 69.75228 68 37 37 1323.875 1923.737 658 658 11.30954 17.6607 2577 2587 749 759 754.689 2582.66 .267875 0 11.3095 8727.95 872.85 126.025 17.6607 11898.6 1190.25 254.651 7112.11 3048.36 null null null null 0 0 7112.106 3048.36 -171.782405522167 -143.034336959169 -.3679320129 .07006607862 .89711 -6.82073686297731 0 711.256 304.937 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 865.75 859.5 2925.194 2982 49.70397 49 68.43768 67 36 36 81.63801 353.1186 706 706 9.981623 16.48828 2578 2588 775 785 780.292 2583.18 .125861 0 9.98162 739.207 74.5754 126.543 16.4883 2671.37 268.884 253.824 619.751 665.182 null null null null 0 0 619.751 665.1819 -96.7595555940738 -98.9368543628934 .03072316953 .06195085588 .542921 -.207646734234259 0 62.5241 66.9532 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
19 17689.35 17570.5 33934.45 33261 49.81832 49 69.08108 68 40 40 1771.24 4203.087 666 666 10.96015 17.37571 2578 2588 800 810 805.7 2583.1 .209556 0 10.9601 17562.2 1756.25 127.142 17.3757 33681.2 3368.26 253.237 13231 9333.22 null null null null 0 0 13231.01 9333.218 -193.038944531657 -173.762222589855 -.151561742 .0629609624 .786899 -1.79387915448824 0 1323.12 933.36 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 288.5455 287 911.303 931 50.78988 49 69.78528 68 33 33 28.79354 117.0557 652 652 11.56669 17.69983 2578 2588 826 836 831.364 2583.23 .287898 0 11.5667 160.813 18.8638 127.732 17.6998 658.514 72.6138 252.789 126.895 174.221 null null null null 0 0 126.8946 174.2214 -50.9334057523711 -57.8749027748282 .1376584019 .0706896334 .447377 -1.28826715409537 0 14.885 19.2113 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1

Total number of rows: 15744

Table truncated, full table size 6229 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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