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Sample GSM616044 Query DataSets for GSM616044
Status Public on Nov 02, 2011
Title E4_aerobic_a
Sample type RNA
 
Channel 1
Source name pooled reference (all 6 parental)
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_aerobic_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/2008-05/79809.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 1389.951 1379 1889.683 1876 55.66628 54 62.91803 62 41 41 169.3609 277.4006 854 854 13.68683 14.40123 2592 2592 6710 6710 6710 2592.32 .081392 0 13.6868 1240.64 124.98 149.312 14.4012 1772.43 177.498 117.258 1266.73 1015.92 null null null null 0 0 1266.735 1015.925 -101.905039997563 -125.947667800197 -.09582424464 .06235279113 .202764 -.905387588962625 0 127.609 101.739 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
2 149.3784 147 109.4054 106 57.1004 55 62.93923 62 37 37 31.4036 24.08372 757 757 14.37105 14.076 2592 2592 6735 6735 6735.24 2592.74 .0687288 0 14.371 -.299751 15.1086 149.678 14.076 -8.00293 9.51713 117.408 21.3697 4.07956 null null null null 0 0 21.36969 4.079561 -.0181795813858487 -1.49364517016277 0 .8892260545 .0682154 0 0 20.9992 4.00739 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 249.6579 241.5 222.6842 201 57.4893 55 61.4639 60 38 38 50.08602 80.73785 748 748 14.94268 14.4715 2592 2592 6761 6761 6761.08 2592.92 .0928427 0 14.9427 99.5821 18.0952 150.076 14.4715 105.129 14.1809 117.555 115.602 53 null null null null 0 0 115.6015 53.00003 -26.3893504815132 -40.0927735762467 -.3386874825 .1200489723 .291333 -2.32022924515295 0 21.0061 7.14916 1 1 1 0 0 1 1 0 0 1 1 0 0 0 0 1 1 0 0
4 1214.175 1226.5 2257.85 2225.5 61.503 56 64.94895 63 40 40 148.1781 328.1137 666 666 22.26912 17.2016 2593 2593 6786 6786 6786.14 2593.28 .271593 0 22.2691 1063.67 107.435 150.505 17.2016 2140.17 214.228 117.681 1085.81 1226.98 null null null null 0 0 1085.806 1226.977 -97.1014393550603 -131.759707910204 .05308413376 .06191577793 .660564 -.407550356168667 0 109.671 122.819 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
5 3293.944 3279.5 4948.472 4854 67.14612 56 64.57839 63 36 36 453.6136 510.4821 657 657 34.09492 16.50463 2593 2593 6811 6811 6811.14 2593.28 .387698 0 34.0949 3142.98 314.661 150.964 16.5046 4830.69 483.163 117.781 3094.22 2871.66 null null null null 0 0 3094.224 2871.661 -130.950619147428 -156.860020219306 -.03241858022 .06153345148 .787817 -.223080012864706 0 309.78 287.222 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
6 10045.03 9651 2946.378 2847 59.34688 56 62.77939 62 37 37 1392.302 440.861 689 689 17.08954 13.86346 2593 2593 6836 6836 6836.57 2593.16 .0712678 0 17.0895 9893.62 989.477 151.41 13.8635 2828.52 283.012 117.858 9569.37 1711.45 null null null null 0 0 9569.369 1711.453 -166.804172274926 -140.357254614714 -.7475184469 .09248928922 .841818 -15.1965419686467 0 957.049 171.242 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 7074.865 7150 16539.73 15983 59.82976 57 64.92275 64 37 37 618.1192 1836.06 699 699 17.25789 15.80576 2593 2593 6862 6862 6862.33 2593.37 .0744069 0 17.2579 6922.99 692.464 151.871 15.8058 16421.8 1642.21 117.917 6496.99 10240.9 null null null null 0 0 6496.99 10240.87 -155.640172103656 -194.589691889286 .1976244651 .06402360972 .551261 -2.69387085993354 0 649.854 1024.1 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 10421.84 10201 16217.41 15535.5 62.0885 55 66.80678 64 32 32 1232.375 2431.492 678 678 23.97742 17.1626 2593 2593 6887 6887 6887.5 2593.5 .337089 0 23.9774 10269.5 1027.06 152.337 17.1626 16099.4 1609.97 117.973 9537.81 10144.8 null null null null 0 0 9537.807 10144.85 -167.97014970787 -193.978347700372 .02679699009 .06147090314 .896798 -.17855999824136 0 953.884 1014.5 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 1767.027 1773 3521.216 3461 58.20613 55 63.61003 62 37 37 239.0563 567.8099 718 718 16.09584 14.99497 2593 2593 6938 6938 6938.31 2593.66 .10726 0 16.0958 1613.58 162.064 153.446 14.995 3403.12 340.445 118.099 1629.29 1972.43 null null null null 0 0 1629.293 1972.434 -110.113559475403 -146.059250990717 .0830031744 .06200859507 .746234 -.743020265678593 0 163.642 197.32 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 281.1111 276.5 438.2222 445.5 58.66947 56 62.5028 62 36 36 55.8998 61.62519 714 714 16.04429 14.40871 2593 2593 6963 6963 6963.31 2593.6 .190504 0 16.0443 126.98 19.736 154.131 14.4087 320.065 33.3915 118.157 140.039 169.847 null null null null 0 0 140.0393 169.8469 -32.7733562809423 -73.3072200359459 .08380769343 .07891261734 .142442 -.54027386537204 0 21.7657 17.7197 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
12 13992.95 13744 30516.05 28839 58.24784 55 63.33573 62 39 39 1895.973 5785.794 694 694 16.47173 14.76095 2593 2593 6989 6989 6989.13 2593.53 .166279 0 16.4717 13838.1 1383.89 154.836 14.761 30397.8 3039.8 118.222 12277.8 20050.9 null null null null 0 0 12277.76 20050.91 -177.295955065601 -213.576578804816 .2130147132 .06443156666 .901583 -3.02402916079689 0 1227.85 2005.1 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 732.5128 737 1103.308 1097 61.35674 57 65.85815 65 39 39 86.25723 148.5529 712 712 19.3213 15.78328 2593 2593 7014 7014 7014.42 2593.88 .18303 0 19.3213 576.931 59.6386 155.582 15.7833 984.961 98.9549 118.346 589.024 564.604 null null null null 0 0 589.0237 564.6045 -78.0514031826859 -107.842407252796 -.01838849314 .06266461042 .403715 -.113970018276824 0 60.8887 56.7234 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
14 218.7222 217 307.0833 304.5 61.05985 57 63.98686 62 36 36 52.92022 62.15574 685 685 19.56122 16.02442 2593 2593 7040 7040 7040.07 2593.8 .212661 0 19.5612 62.338 16.3441 156.384 16.0244 188.589 21.1243 118.494 71.972 95.5961 null null null null 0 0 71.97201 95.59611 -15.8554257923904 -57.2578729260439 .1232765729 .1132177145 .401187 -.558741532961556 0 18.87 10.7079 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1
15 868.5641 901 1637.256 1613 63.07122 58 65.16914 64 39 39 106.385 230.0469 674 674 22.20466 15.24163 2594 2594 7065 7065 7065.44 2594.03 .236123 0 22.2047 711.438 72.7304 157.126 15.2416 1518.73 152.171 118.525 725.818 871.212 null null null null 0 0 725.8183 871.2125 -84.5660110745926 -121.186159579636 .07929616227 .06248349183 .552409 -.689487772686315 0 74.2005 87.2921 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
16 5968.125 5945 7726.625 7610 64.46577 59 65.70089 64 40 40 549.1433 688.6915 672 672 25.07352 15.52657 2593 2593 7090 7090 7090.89 2593.73 .291518 0 25.0735 5810.19 581.215 157.94 15.5266 7608.05 760.864 118.577 5559.21 4653.54 null null null null 0 0 5559.215 4653.542 -150.161013089841 -170.865392637521 -.07722976225 .06183622934 .388095 -.674306031323977 0 556.109 465.391 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
17 3279.324 3193 2679.162 2623 59.32353 56 64.26618 63 37 37 418.974 379.5758 680 680 17.50106 14.2897 2594 2594 7116 7116 7116.13 2594.24 .101046 0 17.5011 3120.66 312.431 158.665 14.2897 2560.55 256.232 118.61 3126.3 1495.83 null null null null 0 0 3126.301 1495.833 -130.727812489125 -137.288632347569 -.3201476139 .0681243156 .565696 -5.58361232663068 0 312.996 149.687 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 577.4595 586 1325.568 1251 57.18158 55 62.70093 62 37 37 91.92104 219.6828 749 749 15.12883 14.659 2594 2594 7141 7141 7141.37 2594.37 .098481 0 15.1288 417.915 44.4387 159.545 14.659 1206.91 121.066 118.658 427.313 690.796 null null null null 0 0 427.3131 690.7964 -68.0697485383047 -114.103584023527 .2086038354 .06560398233 .289723 -2.83148639543502 0 45.4381 69.2941 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 8255.162 8058 8204.892 7950 58.3 56 62.55362 62 37 37 973.3828 1099.865 690 690 15.88241 14.62489 2594 2594 7166 7166 7166.87 2594.5 .200784 0 15.8824 8094.78 809.619 160.384 14.6249 8086.21 808.677 118.679 7682.3 4986.46 null null null null 0 0 7682.303 4986.462 -160.529551285735 -172.744869870312 -.1876988609 .06377720966 .755098 -2.4881076852975 0 768.364 498.681 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 314.8788 316 412.6667 422 58.54899 55 63.5317 63 33 33 42.62024 62.95815 694 694 17.56258 14.25762 2594 2594 7192 7192 7192.41 2594.49 .177732 0 17.5626 153.828 21.5615 161.051 14.2576 294.009 30.9029 118.658 169.223 156.412 null null null null 0 0 169.2226 156.4123 -38.1132160840359 -70.7147578375746 -.0341875528 .07701967371 -.0210718 -.182349510717993 0 23.7194 16.4403 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 6220 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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