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Sample GSM616067 Query DataSets for GSM616067
Status Public on Nov 02, 2011
Title E4_anaerobic_b
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_anaerobic_b
Organism Saccharomyces cerevisiae
Characteristics strain name: E4
media: anaerobic
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/2008-05/79799.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) [email protected]
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
1 823.7949 826 1135.846 1123 56.41542 55 62.18987 61 39 39 94.70152 130.8065 869 869 14.00827 13.79456 2560 2560 325 325 325.779 2560.95 .125031 0 14.0083 669.075 68.2449 154.719 13.7946 1017.93 102.577 117.913 654.295 751.109 null null null null 0 0 654.295 751.109 -84.3400562416361 -96.5136814744454 .05992936674 .06246465726 -.0536876 -.471917948833819 0 66.7373 75.6895 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
2 159.35 161.5 118.5 115.5 56.66021 54.5 62.29716 62 40 40 37.98552 23.26437 774 774 13.98787 13.54785 2560 2560 351 351 351.639 2560.92 .0557736 0 13.9879 4.62051 13.4522 154.729 13.5478 .550973 12.6589 117.949 13.3537 9.54596 null null null null 0 0 13.35365 9.545963 -.426412518368495 -.0408474234350913 0 .6171603119 .218833 0 0 13.1199 9.36569 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 148.5143 135 101.8 104 57.59894 56 62.66003 61 35 35 34.24511 18.50087 753 753 14.02965 13.7702 2560 2560 377 377 377.333 2560.86 .0157856 0 14.0296 -6.19224 13.4443 154.707 13.7702 -16.2841 12.6588 118.084 13.3537 9.54596 null null null null 0 0 13.35365 9.545963 -.628669792231348 -2.8716492043535 0 .6169171317 -.153353 0 0 13.1122 9.3656 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 1243.425 1260.5 1966.225 1873 63.49331 58 65.98663 63 40 40 189.6472 280.4078 673 673 23.93792 17.89415 2562 2562 402 402 402.063 2562.23 .353418 0 23.9379 1088.77 109.704 154.652 17.8942 1847.94 185.227 118.289 1051.35 1380.89 null null null null 0 0 1051.352 1380.888 -99.1035338603947 -114.107710565289 .1184102095 .06262967096 .841655 -1.23156688462038 0 105.934 138.412 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 2209.275 2228 3398.2 3262 67.68085 60 66.60182 64 40 40 355.132 549.0226 658 658 28.76634 19.00243 2562 2562 427 427 427.111 2562.25 .408687 0 28.7663 2054.68 205.907 154.596 19.0024 3279.67 328.211 118.528 1970.14 2468.08 null null null null 0 0 1970.141 2468.08 -118.392989149316 -131.044786721798 .09786185572 .06214504248 .789697 -.938102556379984 0 197.435 246.992 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
6 8164.306 8080 8934.917 8553 60.37518 57 64.06205 63 36 36 1204.43 1248.936 693 693 16.91993 14.5364 2562 2562 452 452 452.747 2562.59 .0573433 0 16.9199 8009.77 801.09 154.535 14.5364 8816.11 881.702 118.808 7760.16 6566.12 null null null null 0 0 7760.156 6566.117 -159.748103955732 -160.245268767046 -.07256179954 .06178250383 .832039 -.619415836503872 0 776.125 656.679 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
7 7953.026 7876 13615.64 13356 61.74927 58 64.26531 63 39 39 896.9306 1620.291 686 686 19.21811 15.48495 2563 2563 478 478 478.429 2563.03 .216707 0 19.2181 7798.56 779.972 154.464 15.4849 13496.5 1349.71 119.143 7630.35 9953.44 null null null null 0 0 7630.35 9953.441 -158.935740483769 -172.821296370321 .1154287835 .0623216353 .708239 -1.193787357646 0 763.148 995.388 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
8 10826.69 10503 18367.18 17228 63.84465 57 65.68477 64 39 39 1605.552 3053.754 663 663 23.51631 17.33416 2563 2563 503 503 503.646 2563.15 .281557 0 23.5163 10672.4 1067.32 154.338 17.3342 18247.7 1824.81 119.516 10646.2 13199.4 null null null null 0 0 10646.2 13199.42 -168.472724638411 -181.728297761646 .09335993859 .06201011224 .701923 -.878833598297286 0 1064.7 1319.97 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
10 980.5946 978 1620.595 1602 60.46091 57 63.0727 61 37 37 138.9457 226.598 729 729 17.65376 14.49361 2563 2563 554 554 554.319 2563.23 .122631 0 17.6538 826.429 83.7293 154.165 14.4936 1500.43 150.576 120.165 802.324 1115.2 null null null null 0 0 802.3236 1115.202 -90.7396781297537 -107.959207845861 .1430041391 .06322117775 .476937 -1.62526050360893 0 81.2871 111.916 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 278.1622 269 356.0541 336 61 58 64.39662 63 37 37 61.35394 67.69907 711 711 17.01491 15.40734 2563 2563 579 579 579.453 2563.67 .126718 0 17.0149 124.087 18.2954 154.076 15.4073 235.554 26.7414 120.5 121.658 173.363 null null null null 0 0 121.6584 173.3626 -34.7745563145911 -53.6851114919681 .1538133692 .07921740406 .0675496 -1.28251168463525 0 17.9374 19.6811 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
12 9214.231 9102 10524.79 9537 60.26754 57 64.68713 63 39 39 1604.584 2167.977 684 684 17.81605 14.62178 2564 2564 605 605 605.242 2564.26 .0874044 0 17.816 9060.25 906.125 153.977 14.6218 10403.9 1040.47 120.864 8837.46 7696.48 null null null null 0 0 8837.462 7696.483 -163.494426790852 -165.135777951455 -.0600352629 .06166841856 .878556 -.481096223034135 0 883.843 769.705 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 612.4722 592 490.7778 471.5 61.28255 58 64.42659 63 36 36 98.48611 73.91776 722 722 18.67186 15.15123 2563 2563 630 630 630.476 2563.84 .167523 0 18.6719 458.673 47.797 153.799 15.1512 369.545 39.0625 121.233 446.788 273.748 null null null null 0 0 446.7877 273.748 -72.9322449344095 -66.7382852242056 -.2127501956 .06739801675 .371654 -2.79694801478836 0 46.5585 28.9364 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 190.7949 191 183.641 184 61.29403 57 64.9345 62 39 39 29.54406 38.84821 687 687 19.50938 17.17582 2563 2563 656 656 656.3 2563.9 .243998 0 19.5094 37.2409 13.9505 153.554 17.1758 62.0468 14.0976 121.594 36.5376 45.6332 null null null null 0 0 36.53763 45.63323 -9.27236847765695 -18.9619961547981 .09654086479 .1822516184 .386325 -.224526709431237 0 13.6871 10.3683 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1
15 727.6944 730.5 1198.111 1200.5 62.53655 58.5 64.75146 63 36 36 85.38779 142.8391 684 684 19.64294 16.6408 2564 2564 681 681 681.113 2564.45 .304276 0 19.6429 574.408 58.9932 153.286 16.6408 1076.17 108.359 121.944 562.035 793.632 null null null null 0 0 562.0349 793.6323 -79.724499762679 -98.1542039275577 .1498560742 .06378506074 .174073 -1.72574686612316 0 57.7224 79.9104 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 7328.139 7356 10058.14 9847.5 63.37139 59 65.65297 64 36 36 694.5811 963.6658 657 657 21.30403 17.69236 2564 2564 706 706 706.702 2564.46 .322548 0 21.304 7175.09 717.635 153.045 17.6924 9935.87 993.667 122.271 6952.58 7398.94 null null null null 0 0 6952.582 7398.937 -156.402734934667 -163.776366497995 .02702324313 .06147574638 .630368 -.180295236170896 0 695.38 739.954 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
17 3647.541 3686 5861.622 5782 60.38012 58 63.90497 63 37 37 579.5422 942.9049 684 684 16.72012 14.60173 2565 2565 732 732 732.067 2565.03 .230854 0 16.7201 3494.72 349.73 152.823 14.6017 5739.02 574.042 122.597 3347.52 4323.23 null null null null 0 0 3347.524 4323.231 -134.535404649023 -147.567834336085 .1110846918 .06227729208 .563178 -1.12801505162216 0 335 432.428 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 386.1892 404 477.027 474 58.31258 56 63.81597 63 37 37 69.79209 84.06528 739 739 14.97264 14.80437 2565 2565 757 757 757.687 2565.3 .037103 0 14.9726 233.556 26.9487 152.633 14.8044 354.112 37.6058 122.915 227.795 261.98 null null null null 0 0 227.7952 261.9801 -52.7872851678511 -65.4935829177503 .06072356567 .06798718425 .496796 -.42972512494206 0 26.284 27.8216 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
19 7610.3 7502.5 8728.85 8530 59.67341 56.5 65.01301 63 40 40 959.5579 1256.083 692 692 17.37649 15.42157 2565 2565 783 783 783.105 2565.74 .096209 0 17.3765 7457.82 745.903 152.479 15.4216 8605.66 860.66 123.186 7213.67 6419.81 null null null null 0 0 7213.671 6419.809 -157.577600595545 -159.531791547849 -.05063424285 .06160075335 .846133 -.38606154271491 0 721.484 642.05 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
20 309.9429 313 330.0571 335 62.53436 59 64.90603 63 35 35 40.17751 53.23032 713 713 19.51215 15.39876 2565 2565 808 808 808.466 2565.41 .187533 0 19.5121 157.585 20.7142 152.358 15.3988 206.598 24.2295 123.459 154.472 152.081 null null null null 0 0 154.4716 152.0806 -41.4095025731531 -49.9342261471302 -.00677500852 .07657758881 .131021 -.0317500623585112 0 20.305 17.8358 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 6207 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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