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Sample GSM491398 Query DataSets for GSM491398
Status Public on Jun 08, 2010
Title Scerev_Sparad_F2_hybrid P1G10
Sample type genomic
 
Channel 1
Source name Scerev+Sparad_gDNA
Organism Saccharomyces cerevisiae
Characteristics reference: S.cerevisiae+S.paradoxus genomic DNA
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name P1G10_gDNA
Organism Saccharomyces cerevisiae
Characteristics genotype: F2
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Agilent
Description Image: http://smd.stanford.edu/MicroArray/gifs/2007-05/74005.gif
Data processing Agilent Feature Extraction
 
Submission date Dec 28, 2009
Last update date Jun 08, 2010
Contact name Gavin Sherlock
E-mail(s) sherlock@genome.stanford.edu
Phone 650 498 6012
Fax 650 724 3701
URL http://genetics.stanford.edu/~sherlock/
Organization name Stanford University
Department Genetics
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platform ID GPL9834
Series (1)
GSE19683 Speciation

Data table header descriptions
ID_REF ID_REF
AGILENT_RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the green channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
AGILENT_RAW.R_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the red channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
AGILENT_RAW.G_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
AGILENT_RAW.R_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
AGILENT_RAW.G_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the green channel.; Type: integer; Scale: linear_scale
AGILENT_RAW.R_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the red channel.; Type: integer; Scale: linear_scale
AGILENT_RAW.G_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
AGILENT_RAW.R_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
AGILENT_RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.BG_PIX_CORRELATION Ratio of estimated feature Background covariance in Red Green space to product of feature Standard Deviation in Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumulative quantitation of the tendency of pixels belonging to a particular feature's Background in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION Ratio of estimated background subtracted feature signal covariance in Red Green space to product of background subtracted feature Standard Deviation in Red Green space.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
AGILENT_COMPUTED.G_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw green mean signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the green channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: gBGSubSignal (gMeansignal - gBGUsed); Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
AGILENT_COMPUTED.R_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw red mean signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the red channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: rBGSubSignal (rMeansignal - rBGUsed); Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_IS_GOOD_PM Feature passes gIsWellAboveBG and additionally the gPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its gDelCtrlSignal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY gPerfMatchSignal fails positive and significance t-test (0.01) versus its gDelCtrlSignal; and deletion control passes gIsWellAboveBG; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_IS_GOOD_PM Feature passes rIsWellAboveBG and additionally the rPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its rDelCtrlSignal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY rPerfMatchSignal fails positive and significance t-test (0.01) versus its rDelCtrlSignal; and deletion control passes rIsWellAboveBG; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between green Mean signal and green background.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between red Mean signal and red background.; Type: float; Scale: linear_scale
VALUE log10(REDsignal/GREENsignal); Type: float; Scale: linear_scale
AGILENT_COMPUTED.LOG_RATIO_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.PIX_CORRELATION Ratio of estimated feature covariance in Red Green space to product of feature Standard Deviation ion Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumultive quantitation of the tendency of pixels belonging to a particular feature in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.ERROR_MODEL Indicates the error model that the user chose for feature extraction. Options: 0 (Propagated model chosen by user or by software) | 1 (Universal error model chosen by user of software).; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the green channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the red channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the green channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the red channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature's background is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature's background is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the green channel); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the red channel); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.IS_NORMALIZATION Boolean flag which indicates if a feaure is used to measure dye bias. Options: 1 (Feature used) | 0 (Feature not used).; Type: boolean; Scale: linear_scale

Data table
ID_REF AGILENT_RAW.G_MEAN_SIGNAL AGILENT_RAW.G_MEDIAN_SIGNAL AGILENT_RAW.R_MEAN_SIGNAL AGILENT_RAW.R_MEDIAN_SIGNAL AGILENT_RAW.G_MEAN_BG AGILENT_RAW.G_MEDIAN_BG AGILENT_RAW.R_MEAN_BG AGILENT_RAW.R_MEDIAN_BG AGILENT_RAW.G_NUM_PIX AGILENT_RAW.R_NUM_PIX AGILENT_RAW.G_PIX_SDEV AGILENT_RAW.R_PIX_SDEV AGILENT_RAW.G_BG_NUM_PIX AGILENT_RAW.R_BG_NUM_PIX AGILENT_RAW.G_BG_PIX_SDEV AGILENT_RAW.R_BG_PIX_SDEV AGILENT_RAW.TOP AGILENT_RAW.BOT AGILENT_RAW.LEFT AGILENT_RAW.RIGHT AGILENT_RAW.POSITION_X AGILENT_RAW.POSITION_Y AGILENT_COMPUTED.BG_PIX_CORRELATION AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION AGILENT_COMPUTED.G_BG_SD_USED AGILENT_COMPUTED.G_BG_SUB_SIGNAL AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR AGILENT_COMPUTED.G_BG_USED AGILENT_COMPUTED.R_BG_SD_USED AGILENT_COMPUTED.R_BG_SUB_SIGNAL AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR AGILENT_COMPUTED.R_BG_USED AGILENT_COMPUTED.G_DYE_NORM_SIGNAL AGILENT_COMPUTED.R_DYE_NORM_SIGNAL AGILENT_COMPUTED.G_IS_GOOD_PM AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY AGILENT_COMPUTED.R_IS_GOOD_PM AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY AGILENT_COMPUTED.G_NUM_SAT_PIX AGILENT_COMPUTED.R_NUM_SAT_PIX AGILENT_COMPUTED.G_PROCESSED_SIGNAL AGILENT_COMPUTED.R_PROCESSED_SIGNAL AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG VALUE AGILENT_COMPUTED.LOG_RATIO_ERROR AGILENT_COMPUTED.PIX_CORRELATION AGILENT_COMPUTED.P_VALUE_LOG_RATIO AGILENT_COMPUTED.DYE_NORM_CORRELATION AGILENT_COMPUTED.G_DYE_NORM_ERROR AGILENT_COMPUTED.R_DYE_NORM_ERROR AGILENT_COMPUTED.ERROR_MODEL AGILENT_COMPUTED.G_IS_FOUND AGILENT_COMPUTED.R_IS_FOUND AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.G_IS_FEAT_POPN_OL AGILENT_COMPUTED.R_IS_FEAT_POPN_OL AGILENT_COMPUTED.G_IS_SATURATED AGILENT_COMPUTED.R_IS_SATURATED AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.G_IS_BG_POPN_OL AGILENT_COMPUTED.R_IS_BG_POPN_OL AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF AGILENT_COMPUTED.IS_USED_BG_ADJUST AGILENT_COMPUTED.IS_NORMALIZATION
1 230.8947 231 2598.947 2597 47.22261 47 63.77739 64 57 57 11.5846 111.8803 283 283 3.862428 6.107482 46 59 44 57 51.156 53.006 -.000161466 .0421555 3.86243 6.9162 1.53442 223.979 6.10748 192.304 14.8189 2406.64 7.35318 65.5923 null null null null 0 0 7.353179 65.59233 -4.41971839325516 -17.7976561085047 .950377911 1.616586467 .0421555 -.254452952960108 .0421555 1.63137 5.05452 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 null 0
2 543.3393 540 3488.714 3509.5 47.74205 48 63.36042 63 56 56 24.51143 135.6726 283 283 3.959086 6.342818 47 60 65 79 72.3922 53.8245 .000124901 -.0233651 3.95909 319.86 3.27548 223.479 6.34282 1089.65 18.13 2399.06 351.282 359.803 null null null null 0 0 351.2815 359.8034 -63.0651370963529 -51.1548355800453 .01040995352 .1304503614 -.0233651 -.0285403412471676 -.0233651 3.59724 5.98652 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
3 1550.705 1541 3898.869 3905 47.84229 48 63.56631 64 61 61 96.37917 229.0497 279 279 3.963439 5.965887 46 59 87 100 93.8015 52.9328 -.000245412 .522443 3.96344 1327.68 12.3401 223.029 5.96589 1507.24 29.3268 2391.63 1758.39 412.697 null null null null 0 0 1758.386 412.6971 -69.6536294193732 -50.5964882750639 -.6294828111 .0819134261 .522443 -13.8144114764156 .522443 16.3433 8.02997 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
4 1205.623 1203 5049.951 5017 47.86071 48 63.92143 63.5 61 61 64.16234 280.6046 280 280 3.970125 5.691052 47 60 108 121 114.766 54.0249 .000165964 .464114 3.97012 983.085 8.21515 222.538 5.69105 2665.44 35.9277 2384.51 1353.36 702.132 null null null null 0 0 1353.356 702.1325 -72.4635375168099 -60.0108608851987 -.2849931338 .06872705018 .464114 -4.4720554635514 .464114 11.3093 9.46412 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
5 1363.806 1352 16168.77 16002.5 47.69858 48 63.57447 63 62 62 89.41611 2023.965 282 282 3.910648 5.961602 46 59 129 142 136.216 53.0805 .000116827 .611881 3.91065 1141.75 11.3559 222.054 5.9616 13791 257.044 2377.77 2085.85 2737.51 null null null null 0 0 2085.852 2737.512 -68.8024162309642 -52.3183255890223 .1180725764 .05300845584 .611881 -1.58638833653601 .611881 20.7459 51.0232 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
6 1193.621 1184 4422.379 4423 47.68198 48 63.62544 64 58 58 77.72394 202.1313 283 283 3.940775 6.299357 46 60 150 163 156.965 53.3512 .000381241 .649098 3.94078 971.928 10.2057 221.693 6.29936 2050.93 26.5411 2371.45 1286.48 561.895 null null null null 0 0 1286.476 561.8949 -63.8499039440469 -58.6845922938237 -.3597465686 .0743054469 .649098 -5.88977717096366 .649098 13.5085 7.27149 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
7 1385.068 1384 17462.34 17363 47.41993 47 64.2669 64 59 59 70.53047 1849.471 281 281 4.0109 6.262411 46 59 171 185 178.566 52.9261 .000296773 .596112 4.0109 1163.35 9.18228 221.719 6.26241 15096.8 240.781 2365.57 2159.05 2949.87 null null null null 0 0 2159.048 2949.871 -71.9178899260216 -54.2650226498374 .1355406969 .05291282476 .596112 -1.98215001911904 .596112 17.0413 47.0479 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
8 1078.492 1066 12538.94 12331 47.53405 47 63.94982 63 63 63 72.12307 1053.593 279 279 3.666603 6.493854 47 60 193 206 199.894 54.2207 .0000782316 .777412 3.6666 856.975 9.08665 221.517 6.49385 10178.9 132.74 2360.04 1435.49 2203.64 null null null null 0 0 1435.488 2203.641 -68.0018906847763 -62.4228725628885 .1861411998 .05633818018 .777412 -3.0208309027679 .777412 15.2207 28.7371 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
9 974.1186 962 10800.95 10743 47.5019 48 64.11027 64 59 59 60.03306 787.7379 263 263 3.619154 5.928261 47 60 213 227 220.731 54.0398 -.0000389307 .746778 3.61915 752.556 7.81564 221.563 5.92826 8446.07 102.555 2354.88 1195.56 1927.94 null null null null 0 0 1195.56 1927.939 -65.0408374039358 -61.0592788671543 .2075218832 .05856730604 .746778 -3.40324460507141 .746778 12.4164 23.4096 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
10 523.9194 520.5 5611.903 5640 47.70213 47 64.71986 65 62 62 34.6137 292.0588 282 282 3.769601 6.133413 47 60 235 248 241.892 54.0928 .000285718 .175748 3.7696 302.248 4.39594 221.672 6.13341 3261.43 37.0915 2350.47 368.046 971.27 null null null null 0 0 368.0463 971.2704 -58.9831755063325 -65.2432133218735 .4214376515 .09025835635 .175748 -5.51953234148201 .175748 5.35293 11.046 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
11 1157.867 1148 12004.98 11968 47.39161 47 63.76573 64 60 60 66.90455 1242.992 286 286 3.765094 6.16023 45 59 256 269 263.103 52.6353 .000206417 .583279 3.76509 936.108 8.63734 221.759 6.16023 9658.49 160.47 2346.49 1577.16 2078.89 null null null null 0 0 1577.157 2078.892 -68.9352164119959 -53.9406070013347 .1199569975 .05523048879 .583279 -1.52490135358689 .583279 14.5522 34.5394 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
12 1324.774 1321 5395.435 5360.5 48.02174 48 64.13406 64 62 62 88.55237 368.1353 276 276 3.977148 6.169733 47 60 277 290 284.088 54.0566 -.0000492928 .566854 3.97715 1103.06 11.2462 221.716 6.16973 3052.51 46.7532 2342.93 1577.57 773.994 null null null null 0 0 1577.574 773.9938 -68.1527124401701 -57.4354049433752 -.309252147 .06615253466 .566854 -5.53137082594702 .566854 16.0841 11.8547 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
13 778.2857 775 4099.365 4119 47.62324 47 63.86268 64 63 63 54.35885 206.8657 284 284 3.886502 6.992587 46 59 299 312 305.756 53.0981 -.000210459 .636297 3.8865 556.342 6.84857 221.943 6.99259 1759.5 26.0626 2339.86 676.99 524.35 null null null null 0 0 676.9897 524.3497 -64.0577041671462 -59.0513782513698 -.1109610111 .08747164217 .636297 -.689081073265304 .636297 8.33374 7.76694 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
14 631.7458 622 9089.712 9106 47.49819 48 63.96029 64 59 59 47.98656 843.0544 277 277 3.902456 5.945575 47 61 320 333 326.812 54.6274 -.0000865454 .681924 3.90246 409.694 6.24732 222.051 5.94558 6752.54 109.756 2337.17 568.588 1764.42 null null null null 0 0 568.5881 1764.418 -55.4819245239978 -53.7954947519276 .4918036072 .07331522114 .681924 -10.7050581814057 .681924 8.67024 28.679 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
15 1164.617 1163.5 16481.17 16053 47.71795 47 63.78022 63 60 60 83.78809 1796.256 273 273 3.941335 6.022877 46 59 341 354 348.115 53.1313 -.00000676409 .770302 3.94134 942.56 10.817 222.056 6.02288 14146.3 231.896 2334.89 1681.27 2875.97 null null null null 0 0 1681.273 2875.973 -63.3569630632958 -54.2792141103118 .2331464589 .05547652297 .770302 -4.57864404380547 .770302 19.2946 47.1449 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
16 1699.533 1679 3780.05 3746.5 48.04412 48 63.83088 64 60 60 113.4799 216.6023 272 272 4.085557 5.490757 47 61 362 376 369.32 54.2765 .0000556551 .68688 4.08556 1477.06 14.6502 222.478 5.49076 1446.9 27.9632 2333.15 1974.08 392.592 null null null null 0 0 1974.082 392.5917 -67.0547569914376 -50.1457152178897 -.701423972 .08381617921 .68688 -16.2342760808422 .68688 19.5799 7.58736 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
17 1054.627 1045 9591.966 9439 48.02555 48 64.0438 64 59 59 64.75974 985.5826 274 274 3.255213 5.994953 46 59 383 397 390.467 53.0366 -.000112558 .687728 3.25521 831.649 8.431 222.978 5.99495 7260.11 128.312 2331.86 1309.62 1671.9 null null null null 0 0 1309.62 1671.897 -65.6214640189939 -51.7203193704167 .1060644467 .05755917642 .687728 -1.18460539109608 .687728 13.2765 29.5484 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
18 881.1724 879.5 9652.328 9558 47.82437 48 63.52688 63 58 58 42.22751 744.3281 279 279 3.263265 5.981852 46 60 404 417 411.248 53.3609 -.0000278611 .631407 3.26327 657.605 5.54474 223.567 5.98185 7321.73 97.7351 2330.6 996.612 1751.96 null null null null 0 0 996.6115 1751.961 -69.3314929450932 -57.9095585307846 .2449985935 .06135858325 .631407 -4.1852829342541 .631407 8.40315 23.3863 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
19 1435.968 1438 4469.984 4485 47.93056 47 63.27083 63 63 63 88.91714 259.3501 288 288 4.139809 5.948348 45 58 426 439 432.964 52.1626 -.000245447 .582124 4.13981 1211.92 11.2025 224.043 5.94835 2140.37 32.675 2329.62 1665.81 564.69 null null null null 0 0 1665.809 564.6901 -71.6679657229725 -58.2394915709653 -.4698150789 .07339001939 .582124 -9.81322428924741 .582124 15.398 8.62061 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0
20 1333.468 1324 5683.355 5695 48.46377 48 64.1087 63.5 62 62 101.7713 354.2529 276 276 3.890612 5.927053 47 60 447 460 453.932 54.1671 -.000573585 .735513 3.89061 1109.15 12.925 224.321 5.92705 3354.53 44.9902 2328.82 1611.22 837.407 null null null null 0 0 1611.223 837.4073 -64.6235726995981 -60.9106531213897 -.2842189325 .06455265259 .735513 -4.97137604512884 .735513 18.7757 11.2311 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0

Total number of rows: 10807

Table truncated, full table size 4559 Kbytes.




Supplementary data files not provided
Processed data included within Sample table

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