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Sample GSM238706 Query DataSets for GSM238706
Status Public on Oct 18, 2008
Title CMV_HTx_EMB1996
Sample type RNA
 
Channel 1
Source name hum ref
Organism Homo sapiens
Characteristics hum ref
Extracted molecule total RNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name endomyocardial biopsy;T19S3
Organism Homo sapiens
Characteristics Disease State: Acute Rejection Grade 1A
T19S3
Extracted molecule total RNA
Extraction protocol not provided
Label Cy5
Label protocol Holweg_RNA_amp; RNA amplification using Agilent Low RNA Input Fluorescent Linear Amplification Kit - To a 1.5 ml microcentrifuge tube, add 250ng total RNA in a volume of 10.3 ul or less - Add 1.2 ul of T7 promotor primer - Use nuclease free water to bring the total volume up to 11.5 ul - Incubate the reaction at 65?C for 10 minutes - Place the reaction on ice for 5 minutes - Mix the following components (per reaction) by pipetting: - 5X First Strand Buffer 4 ul - 0.1M DTT 2 ul - 10mM dNTP mix 1 ul - MMLV RT 1 ul - RNaseOUT 0.5 ul - Add 8.5ul of the mix to each asmple - Incubate the samples at 40?C in a circulating waterbath for 2 hours - Heat the samples at 65?C for 15 minutes - Incubate the samples on ice for 5 minutes - Add 2.4 ul Cy5-CTP (10mM) to each sample (for Human Reference sample: Cy3-CTP) - Preheat 50% PEG solution at 40?C for 1 minute - Mix the following components (per reaction) by pipetting: - Nuclease free water 15.3 ul - 4X Transcription buffer 20 ul - 0.1M DTT 6 ul - NTP mix 8 ul - 50% PEG 6.4 ul - RNAseOUT 0.5 ul - Inorganic Pyrophosphatase 0.6 ul - T7 RNA Polymerase 0.8 ul - Add 57.6 ulmix to each sample - Incubate the samples at 40?C in a waterbath, O/N Purification of amplified cRNA using the Qiagen RNeasy Minikit - Add 20 ul nuclease free water to each cRNA sample - Add 350 ul RLT buffer + 35 ul 2-ME to each sample and mix - Add 250 ul 100% ethanol to each sample and mix - Transfer the cRNA to an RNeasy mini column and spin for 30 seconds, full speed in a microcentrifuge - Add 500 ul RPE to each column, spin 30 seconds, full speed in a microcentrifuge - Add another 500 ul RPE to each column, spin 1 minute, full speed in a microcentrifuge - Dryspin the column for 2 minutes at full speed - Elute the cRNA with 30 ul nuclease free water, spin full speed for 1 minute - Repeat the elution step with the same 30 ul Note: Amplify a batch of Human Reference RNA and freeze aliquots of 750 ng. Use one aliquot per sample for the hybrization.; Protocol Type = Amplification; Performer: Cecile,,Holweg
 
 
Hybridization protocol not provided
Scan protocol Feature Extraction; Software and parameters for feature extraction.; Protocol Type = Feature Extraction; Parameter Datafile type = Agilent result file; Software: type: feature extraction; Performer: Cecile,,Holweg
Scanning parameters - Channel 1; Parameters for laser scanning of a hybridized array in channel 1.; Protocol Type = Scanning parameters; Parameter Scanner Make = Agilent Technologies Scanner; Parameter Pixel Size = 10; Parameter Scan Time = 10:02:53; Parameter Scanner Model = G2505A; Parameter Scanning software version = A.6.3.1; Parameter Scanning software = ChipScan; Parameter Scan Date = 2004-09-09; Performer: Cecile,,Holweg
Scanning parameters - Channel 2; Parameters for laser scanning of a hybridized array in channel 2.; Protocol Type = Scanning parameters; Parameter Scanner Make = Agilent Technologies Scanner; Parameter Pixel Size = 10; Parameter Scan Time = 10:02:53; Parameter Scanner Model = G2505A; Parameter Scanning software version = A.6.3.1; Parameter Scanning software = ChipScan; Parameter Scan Date = 2004-09-09; Performer: Cecile,,Holweg
Description Simple annotation: Tissue Rejection, Transplant
Image: http://www.stanford.edu/MicroArray/gifs/2004-11/57354.gif
Data processing VALUE is log(EMB/reference)
 
Submission date Oct 19, 2007
Last update date Oct 19, 2007
Contact name Cecile Holweg
E-mail(s) cholweg@cvmed.stanford.edu
Phone 725 3775
Fax 725 1599
Organization name Stanford University
Department Cardiovascular Medicine
Lab Falk CVRC
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5406
Country USA
 
Platform ID GPL887
Series (1)
GSE9377 Endomyocardial biopsies with different acute rejection gradings

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_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
VALUE log(EMB/reference); Type: float; 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_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 VALUE
1 359.371 363 151.3065 150 35.89568 35.5 57.20504 57 62 62 41.81193 24.89031 278 278 4.083945 6.760288 14 27 16 29 22.8111 21.1529 -.0000649351 .641836 4.08395 271.984 5.31012 87.3867 6.76029 88.1471 3.16107 63.1594 1291.37 698.991 null null null null 0 0 1291.367 698.9906 -51.2468828894645 -36.2286962626695 .07044009076 .641836 -3.81237466683919 .641836 25.2122 25.0667 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.2665783403
2 84.10169 82 60.33898 59 35.80783 36 57.19573 57 59 59 9.52437 7.34286 281 281 3.775685 6.565123 14 27 37 50 43.9538 21.2462 .000221283 .0739508 3.77568 -3.32413 1.23997 87.4258 6.56512 -2.85738 .955959 63.1964 -19.0182 -18.8038 null null null null 0 0 21.60166 43.20369 -1.97698636507246 -2.15048292699658 1.442586526 .0739508 0 .0739508 7.09417 6.29096 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 null 0 0
3 96.60656 98 69.90164 70 36.38351 36 57.86022 58 61 61 11.24022 8.543428 279 279 3.992783 6.536436 15 29 58 72 65.3382 22.6529 -.000153164 .216016 3.99278 9.12562 1.43916 87.4809 6.53644 6.66831 1.09387 63.2333 41.5204 55.1805 null null null null 0 0 41.52043 55.18053 -7.41803555835312 -6.73621012136943 .9367732734 .216016 -.0481313092440829 .216016 6.54801 9.05185 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 null 1 .1235240316
4 2554.082 2741 567.377 592 36.27206 36 57.75 58 61 61 556.8034 87.26457 272 272 3.904708 6.148531 14 28 79 92 86.0413 21.3122 -.0000562244 .809846 3.90471 2466.55 71.2914 87.5283 6.14853 504.107 11.1731 63.2703 12051.6 3884.54 null null null null 0 0 12051.56 3884.537 -40.6150358128293 -47.3389979967208 .06130415422 .809846 -14.9783211267197 .809846 348.329 86.0973 1 1 1 1 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.491704078
5 226.4237 221 133.1017 133 35.90357 35.5 57.57143 58 59 59 34.18116 17.44123 280 280 3.845771 6.473151 14 28 100 114 107.596 21.7243 -.0000414305 .564255 3.84577 138.854 4.45001 87.5694 6.47315 69.7995 2.27065 63.3022 655.495 556.688 null null null null 0 0 655.4946 556.6881 -37.3215836056419 -37.9118745472129 .08921921735 .564255 -.370150359403049 .564255 21.0073 18.1097 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 -.07095714169
6 110.3214 111.5 70.17857 70 36.1777 36 57.3554 57 56 56 13.90763 6.14405 287 287 3.636421 7.372162 14 27 121 135 128.672 21.1824 -.000346345 .179966 3.63642 22.711 1.85848 87.6104 7.37216 6.84516 .821033 63.3334 101.762 57.5179 null null null null 0 0 101.7621 61.94618 -16.6489113502062 -10.0687364356428 .5624561442 .179966 -.153959179300879 .179966 8.32739 6.89891 1 1 1 0 0 1 0 0 0 0 1 0 0 0 0 1 1 null 0 -.2155713124
7 241.4667 241 79.01667 77 36.37455 36 58.46909 58 60 60 26.53394 8.926236 275 275 3.974564 6.46622 15 29 143 156 150.089 22.7195 -.000137006 .172215 3.97456 153.815 3.42552 87.6515 6.46622 15.652 1.15237 63.3647 711.432 127.41 null null null null 0 0 711.4319 127.4103 -46.8581929038101 -19.7317895555343 .1515664116 .172215 -6.08066486991059 .172215 15.8438 9.38055 1 1 1 0 0 1 0 0 0 0 1 0 0 0 0 1 1 null 0 -.7469287187
8 309.5161 314 266.7742 271.5 36.40357 37 58.03571 59 62 62 37.0696 37.00439 280 280 3.56878 6.819654 15 28 164 177 171.205 21.7947 .000590638 .696737 3.56878 221.824 4.70784 87.6924 6.81965 203.378 4.69956 63.3961 1058.67 1604.44 null null null null 0 0 1058.666 1604.438 -49.075938950037 -47.1701156259333 .06131669139 .696737 -2.49054774598721 .696737 22.4684 37.0746 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1805640822
9 189.4194 194 145.7903 147.5 36.68858 37 58.36332 59 62 62 24.24029 16.71765 289 289 4.011257 6.652811 14 28 185 198 191.97 21.2772 .000312767 .435299 4.01126 101.677 3.07852 87.7424 6.65281 82.3627 2.12314 63.4276 479.564 657.47 null null null null 0 0 479.5643 657.4702 -40.1388026416153 -45.5868645946574 .09414426871 .435299 -.837064434224238 .435299 14.52 16.9482 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1370292223
10 81.43548 79 65.03226 65 36.28519 36 56.85185 56 62 62 10.47342 8.42706 270 270 3.715256 6.250078 14 27 206 219 213.128 21.1278 -.000199579 -.00610546 3.71526 -6.35849 1.33013 87.794 6.25008 1.57301 1.07024 63.4592 -36.3786 10.3517 null null null null 0 0 21.25593 41.13044 -4.87111307015687 -.76936462749114 1.493146958 -.00610546 0 -.00610546 7.60999 7.04301 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 null 0 0
11 97 97.5 73.53226 73 37.03846 37 58.41958 58 62 62 12.44397 9.855876 286 286 4.007264 6.662714 14 27 227 240 233.763 20.9556 .0000838066 .321329 4.00726 9.15288 1.58039 87.8471 6.66271 10.0364 1.2517 63.4959 41.2965 83.7511 null null null null 0 0 41.29654 83.75114 -6.52672475447712 -10.2085325192061 .7501888207 .321329 -.166027600047965 .321329 7.13049 10.4451 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 null 1 .3070770092
12 143.34 142.5 104.88 101 38.47465 38 59.30876 60 50 50 26.00911 20.17034 217 217 4.676632 6.452933 14 27 251 265 258.564 21.0387 .00047734 .0539967 4.67663 55.4426 3.67824 87.8974 6.45293 41.3396 2.85252 63.5404 256.191 336.834 null null null null 0 0 256.1907 336.8342 -19.3848856909946 -18.8426067033382 .1604181126 .0539967 -.338416499515403 .0539967 16.9965 23.2422 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1188527843
13 93.62295 94 70.39344 71 36.87435 37 60.24607 60 61 61 8.177538 8.256873 191 191 3.885861 8.833976 15 28 270 283 276.803 21.9291 -.000108444 .265115 3.88586 5.68282 1.04703 87.9401 8.83398 6.81334 1.05718 63.5801 26.0939 55.867 null null null null 0 0 26.09387 72.43547 -5.7811600177442 -6.61471554522479 .9915718723 .265115 0 .265115 4.80764 8.66854 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 null 1 0
14 229.7581 231.5 63.03226 63 36.88612 37 58.64413 58 62 62 28.72748 6.598479 281 281 4.057777 6.920057 15 28 291 304 297.807 22.1926 -.0000300488 .322881 4.05778 141.78 3.64839 87.9779 6.92006 -.580799 .838008 63.6131 811.161 -3.82212 null null null null 0 0 811.1606 45.53944 -44.2286220009815 -.271125377042586 .199578041 .322881 -9.43356125324371 .322881 20.8734 5.51475 1 1 1 0 0 1 0 0 0 0 1 0 0 0 0 1 0 null 0 -1.250719205
15 954 945 556.3898 548 36.78626 37 57.50763 57 59 59 254.181 77.82053 262 262 3.150157 6.63772 15 29 311 325 318.652 22.5196 .0000275744 .854105 3.15016 865.986 33.0916 88.0142 6.63772 492.744 10.1314 63.6462 4267.29 3764.86 null null null null 0 0 4267.295 3764.858 -33.0821354400879 -48.0797623732571 .05055182307 .854105 -.550002515932564 .854105 163.064 77.4098 1 1 1 1 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.0544040034
16 151.873 158 118.7143 119 36.19134 36 57.61733 58 63 63 27.82984 18.96468 277 277 3.627022 7.272002 15 28 333 346 339.807 22.0949 .000205944 .608867 3.62702 63.8199 3.50623 88.0531 7.272 55.0348 2.38932 63.6795 297.497 444.509 null null null null 0 0 297.4968 444.5092 -25.8942684666174 -32.1730949979893 .1328018571 .608867 -.723290447044833 .608867 16.3443 19.2983 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1743984436
17 93.78689 91 63.18033 63 36.31538 36 57.83077 58 61 61 10.82299 8.71112 260 260 4.044224 6.941719 16 29 354 367 361.067 23.0667 -.0000275711 .289269 4.04422 5.69422 1.38574 88.0927 6.94172 -.532588 1.11534 63.7129 32.5781 -3.50485 null null null null 0 0 32.57809 45.68199 -3.84150482708271 -.182305088546797 1.160138584 .289269 0 .289269 7.92819 7.33985 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 null 0 0
18 165.2414 165.5 127.8448 129.5 36.90037 37 57.94096 58 58 58 21.8787 15.53581 271 271 3.741811 6.36805 15 28 376 389 382.835 21.8023 -.000276223 .342676 3.74181 77.1097 2.87281 88.1317 6.36805 64.0914 2.03995 63.7534 361.835 514.242 null null null null 0 0 361.8353 514.2419 -33.4947740267951 -38.2728867419971 .1152176602 .342676 -.732380250061155 .342676 13.4806 16.3677 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1526565271
20 93.55738 93 61.68852 61 36.37993 36 58.6129 58 61 61 8.693915 6.998907 279 279 4.012448 6.374464 15 28 418 431 425.117 21.8203 .000226851 .191623 4.01245 5.34074 1.11314 88.2166 6.37446 -2.14697 .896118 63.8355 30.5558 -14.1288 null null null null 0 0 30.55577 41.949 -4.84529612346446 -1.5190277534998 1.250630924 .191623 0 .191623 6.36857 5.89717 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 null 0 0
21 304.9841 295 65.90476 65 36.96503 37 58.21678 58 63 63 59.09492 8.101601 286 286 4.064243 7.126073 16 29 439 452 446 22.8647 .000219498 .224534 4.06424 216.735 7.44526 88.2489 7.12607 2.03447 1.02071 63.8703 975.981 17.0101 null null null null 0 0 975.9812 59.58099 -37.1752534450604 -1.16158101076281 .1718579175 .224534 -11.7970783839063 .224534 33.5268 8.53411 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 null 0 -1.21433373

Total number of rows: 22153

Table truncated, full table size 9349 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
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