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Sample GSM820684 Query DataSets for GSM820684
Status Public on Aug 01, 2012
Title T500-Bb
Sample type genomic
 
Channel 1
Source name S.cerevisae and S. bayanus sonicated genomic DNA 100 ng
Organisms Saccharomyces bayanus; Saccharomyces cerevisiae
Characteristics reference: S.cerevisae and S. bayanus sonicated genomic DNA 100 ng
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name T500-Bb genomic DNA, HAEIII-cut, 100ng
Organism Saccharomyces bayanus x Saccharomyces cerevisiae
Characteristics genotype: clone b (batch 2 at generation 500)
condition: High Temperature
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Agilent methods
Description Image: http://smd.stanford.edu/MicroArray/gifs/2009-07/84291.gif
Data processing Agilent lowess-normalized
 
Submission date Oct 21, 2011
Last update date Aug 01, 2012
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 GPL11007
Series (1)
GSE24479 Evolution of S. cerevisiae - S. bayanus Interspecific Hybrids

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 log(REDsignal/GREENsignal); Type: float; Scale: linear_scale
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
1 205.6508 199 260.7619 222 32.8598 33 52.02146 55 63 63 63.8388 123.0095 699 699 9.960543 32.55682 44 57 48 61 55.48 51.09 .542749 0 9.96054 16.7382 44.1253 188.913 32.5568 23.7627 81.9351 236.999 2.21065 7.73469 null null null null 0 0 5.795747 15.99788 -.48915618005265 -.345778201409988 0 1.179907093 .460642 0 0 5.8277 26.6697 1 1 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
2 116.8033 116 114.2787 119 33.31731 33 53.6 61 61 61 22.62655 38.95644 520 520 10.23073 32.62547 44 57 74 87 81.39 50.83 .470147 0 10.2307 -71.4366 44.0936 188.24 32.6255 -122.02 81.9006 236.298 -9.37843 -39.7171 null null null null 0 0 5.761154 17.1921 -4.50906159926629 -3.90623871728607 0 1.133147145 .32035 0 0 5.78875 26.6585 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 151.3621 150 192.5517 194 32.97481 33 53.56783 62 58 58 35.68512 51.261 516 516 9.931677 31.96602 44 57 100 113 106.5 51 .484069 0 9.93168 -36.2009 44.0936 187.563 31.966 -43.3538 81.9006 235.906 -4.72735 -14.1116 null null null null 0 0 5.730586 18.36012 -1.47660214888276 -.770955863868796 0 1.091998375 .04626 0 0 5.75804 26.6585 1 1 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
4 8240.23 8148 669.4426 677 32.25239 33 54.26577 63 61 61 1041.333 94.78054 523 523 9.52861 34.09363 44 57 125 138 132 51.4 .501045 0 9.52861 8053.7 806.576 186.529 34.0936 434.548 92.7148 234.895 1046.6 141.444 null null null null 0 0 1046.598 141.4442 -308 -35.3220911533386 -.8691948543 .104741301 .224363 -15.976989856593 0 104.817 30.1784 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 11855.46 11653 38617.31 38311 33.17625 33 53.75287 59.5 61 61 1201.896 3290.663 522 522 9.297161 34.27357 44 57 150 163 157.42 51.43 .447476 0 9.29716 11669.8 1167.81 185.703 34.2736 38383 3839.17 234.319 1510.52 12493.6 null null null null 0 0 1510.521 12493.57 -308 -308 .9175598633 .1051601367 .694231 -17.5761983489049 0 151.16 1249.64 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 7485.377 7536 847.5902 866 32.52863 32 51.33779 56 61 61 1177.82 139.8423 524 524 9.734975 33.4017 45 58 176 189 182.57 51.61 .519351 0 9.73497 7300.88 731.418 184.501 33.4017 614.775 102.407 232.815 941.763 200.108 null null null null 0 0 941.7626 200.1079 -308 -60.338890892349 -.6726771206 .09075674033 .195801 -12.9047217631394 0 94.3479 33.3333 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 2901.873 2604 411.4286 418 31.63273 32 51.26747 56 63 63 832.1812 105.821 501 501 9.377891 33.0582 45 58 201 214 208.21 52.39 .521355 0 9.37789 2718.5 275.402 183.376 33.0582 179.379 83.842 232.049 349.464 58.3875 null null null null 0 0 349.4637 58.38754 -308 -7.63673597105553 -.7770818443 .1193365304 .632101 -10.1289373122511 0 35.4031 27.2904 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
8 8555.016 8396 946.4262 937 31.41968 31 50.85944 53 61 61 1313.882 186.6239 498 498 9.15431 33.18833 45 58 226 239 233.38 52.34 .47843 0 9.15431 8372.55 838.415 182.465 33.1883 715.584 108.758 230.843 1073.85 232.921 null null null null 0 0 1073.849 232.9208 -308 -74.696773694266 -.6637348502 .08935600976 .259412 -12.9575552672931 0 107.534 35.4005 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 9073.594 8943 16249.59 15772.5 31.92075 32 50.88868 56.5 64 64 1441.35 1931.098 530 530 9.709453 33.99273 45 58 252 265 258.7 51.66 .511735 0 9.70945 8891.8 890.272 181.796 33.9927 16020.2 1604.11 229.394 1138.92 5214.54 null null null null 0 0 1138.922 5214.538 -308 -308 .6607216966 .08664146842 .645906 -13.6156771590834 0 114.032 522.135 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 5000.871 4828.5 55216.16 53823.5 30.39238 30 51.59619 60 62 62 642.1456 5375.235 525 525 9.145471 34.8758 45 58 277 290 284.2 51.63 .53609 0 9.14547 4820.74 484.086 180.13 34.8758 54987.8 5499.39 228.357 616.576 17898.4 null null null null 0 3 616.5764 17898.4 -308 -308 1.462827322 .1516091824 .739883 -21.3028034755329 0 61.915 1790.04 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 1161.635 1215 921.5714 962 30.62591 31 49.94708 56.5 63 63 500.8604 404.6523 548 548 9.420146 33.31396 44 57 303 316 309.5 50.93 .550499 0 9.42015 982.421 107.684 179.214 33.314 694.081 107.355 227.49 125.589 225.922 null null null null 0 0 125.5892 225.9218 -201.388506111033 -71.6414065916468 .2550057268 .0954568209 .7056 -2.12188068895166 0 13.7659 34.944 1 1 1 1 1 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 6319.131 6049 712.2951 702 30.92702 31 49.28994 53 61 61 926.0882 151.932 507 507 9.55805 33.15327 46 59 328 341 334.9 52.73 .581201 0 9.55805 6140.76 615.657 178.371 33.1533 485.772 95.2232 226.523 783.146 158.118 null null null null 0 0 783.1463 158.1175 -308 -42.2234709701819 -.6948628947 .0938439853 .499145 -12.8804232173684 0 78.5163 30.9949 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 11626.28 11393 65514.97 65528 30.81664 31 51.14934 54 58 58 1220.574 13.60981 529 529 9.367822 34.70878 45 58 354 367 360.6 51.97 .492643 0 9.36782 11448.7 1145.72 177.53 34.7088 65289.6 6529.48 225.351 1460.3 21251.6 null null null null 0 30 1460.297 21251.62 -308 -308 1.162950672 .1251805726 .00663612 -19.8124216129152 0 146.138 2125.33 1 1 1 0 0 0 0 0 1 1 1 0 0 0 0 1 1 0 0
14 7267.143 7153.5 39279.64 39521 30.88123 31 52.77395 55.5 56 56 671.6478 4430.975 522 522 9.544384 34.42088 45 58 379 392 386.1 52.19 .499141 0 9.54438 7090.55 710.425 176.593 34.4209 39055.4 3906.4 224.257 903.971 12712.4 null null null null 0 0 903.9707 12712.44 -308 -308 1.148074443 .1239366705 .840292 -19.7032656902534 0 90.5717 1271.52 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 7067.033 7104.5 870.0833 862.5 31.18324 31 52.51267 56 60 60 1117.351 134.7451 513 513 9.778282 35.57574 46 59 404 417 411.1 52.52 .534968 0 9.77828 6891.39 690.548 175.647 35.5757 647.647 104.414 222.436 878.228 210.808 null null null null 0 0 878.228 210.8077 -308 -65.0248716142412 -.6197208432 .08759499746 .595822 -11.8250155891977 0 88.0024 33.9864 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
16 9074.246 8801 63466.95 65501 32.89313 33 53.78817 59.5 57 57 1569.952 3035.035 524 524 10.15746 35.61574 45 58 430 443 436.6 52.4 .504109 0 10.1575 8899.67 891.058 174.579 35.6157 63246.6 6325.19 220.352 1134.39 20586.6 null null null null 0 18 1134.39 20586.62 -308 -308 1.258822817 .1334370715 .674312 -20.4029883130553 0 113.578 2058.83 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 2983.46 2989 1096.857 1107 32.83762 33 52.16436 58 63 63 487.2749 131.9939 505 505 10.15834 31.93363 46 59 455 468 461.7 53.12 .473489 0 10.1583 2810.03 284.441 173.433 31.9336 878.279 120.089 218.578 358.002 285.878 null null null null 0 0 358.0022 285.8777 -308 -97.3807365344322 -.09770534857 .07220756776 .227614 -.754442918962821 0 36.2383 39.0888 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 8097.773 8122.5 737.6818 698.5 31.65251 31 50.48263 56.5 66 66 1285.705 193.4637 518 518 10.05204 32.69356 46 59 480 493 487.3 52.66 .483663 0 10.052 7925.71 793.796 172.067 32.6936 520.75 97.0542 216.932 1010.55 169.503 null null null null 0 0 1010.551 169.5029 -308 -47.0589001992575 -.7753809118 .09774866789 .553935 -14.6676387208695 0 101.211 31.5909 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 2413.016 2424.5 1409.75 1372 32.13447 32 51.70833 58 64 64 447.8503 274.3728 528 528 10.32833 33.40429 45 58 506 519 512.6 52.36 .482551 0 10.3283 2242.56 228.55 170.454 33.4043 1194.52 144.832 215.233 286.142 388.812 null null null null 0 0 286.1424 388.8124 -308 -137.897322800914 .133157868 .07189426647 .162194 -1.19377613219102 0 29.1621 47.1426 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 9385.559 8942 765.7797 764 31.74303 32 52.08964 59 59 59 1349.131 157.8649 502 502 10.10522 33.20213 46 59 531 544 538.1 53.29 .436786 0 10.1052 9216.5 922.705 169.055 33.2021 552.346 98.7855 213.434 1175.41 179.787 null null null null 0 0 1175.409 179.7874 -308 -51.4870915784252 -.8154299964 .0999111912 .358189 -15.4804902714684 0 117.675 32.1545 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0

Total number of rows: 15744

Table truncated, full table size 6004 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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