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Sample GSM238704 Query DataSets for GSM238704
Status Public on Oct 18, 2008
Title AR_HTx_EMB6930
Sample type RNA
 
Channel 1
Source Name hum ref
Organism(s) 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;T 23S2
Organism(s) Homo sapiens
Characteristics Disease State: Acute Rejection Grade 3B
T 23S2
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 = 14:50:44; Parameter Scanner Model = G2505A; Parameter Scanning software version = A.6.3.1; Parameter Scanning software = ChipScan; Parameter Scan Date = 2005-01-14; 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 = 14:50:44; Parameter Scanner Model = G2505A; Parameter Scanning software version = A.6.3.1; Parameter Scanning software = ChipScan; Parameter Scan Date = 2005-01-14; Performer: Cecile,,Holweg
Description Simple annotation: Tissue Rejection, Transplant
Image: http://www.stanford.edu/MicroArray/gifs/2005-02/59038.gif
Data processing VALUE is log(EMB/reference)
 
Submission 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 1243.852 1251 571.1111 560.5 35.49635 36 58.31022 58 54 54 87.72887 58.47066 274 274 3.756555 6.857693 21 35 29 42 36.2326 28.5483 .000174785 -.0041826 3.75656 1170 11.9384 73.853 6.85769 499.85 7.95685 71.261 6253.09 1667.3 null null null null 0 0 6253.089 1667.301 -60.8978682785466 -50.8974222394746 .06595594171 -.0041826 -17.494325284658 -.0041826 63.805 26.5409 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.5740805206
2 72.33929 73 64.71429 65 35.06909 35 56.74545 57 56 56 6.40533 5.748405 275 275 3.690433 6.314212 21 35 51 64 58.1416 28.3563 -.0000917883 -.0126271 3.69043 -1.5195 .855948 73.8588 6.31421 -6.65466 .768163 71.3689 -8.63464 -20.8769 null null null null 0 0 20.97109 19.80884 -1.04230557549066 -10.7503932308824 2.081820517 -.0126271 0 -.0126271 4.86397 2.40987 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 null 0 0
3 108.7619 109 104.5714 104 35.93511 36 56.94275 57 63 63 7.91021 12.54761 262 262 3.257703 6.145784 22 35 72 85 78.8274 28.7926 .000025584 -.0455703 3.2577 34.8924 .996593 73.8696 6.14578 33.0876 1.58085 71.4839 178.986 114.99 null null null null 0 0 178.9862 114.9898 -43.5709441178993 -30.2209044626207 .297740448 -.0455703 -.285107954194993 -.0455703 5.11219 5.49395 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.1921602646
4 3040.088 3008 2173.386 2170 36.07692 36 57.63736 58 57 57 173.4676 135.7405 273 273 3.680925 6.154595 21 35 93 106 99.9761 28.3085 .000243494 .673465 3.68092 2966.2 22.9763 73.8848 6.1546 2101.79 17.9793 71.5917 15902.2 6989.04 null null null null 0 0 15902.19 6989.041 -70.2860829321918 -67.9135298298273 .05580228267 .673465 -9.80375946176433 .673465 123.179 59.786 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.35703937
5 338.8033 339 333.1967 330 35.85 35 57.96429 58 61 61 30.2742 35.15102 280 280 4.003448 7.116955 22 35 114 127 121.025 28.8122 .000349309 .402949 4.00345 264.904 3.87621 73.8996 7.11696 261.498 4.50063 71.6991 1365.69 904.244 null null null null 0 0 1365.694 904.2442 -58.1768552031203 -54.3236137052823 .06342349341 .402949 -2.32310160125101 .402949 19.9836 15.5629 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.1790676843
6 94.53448 94 82.94828 82.5 35.82456 35 59.32982 59 58 58 8.529033 10.6135 285 285 4.054743 6.970005 21 35 135 148 142.09 28.3146 .000314533 -.0173256 4.05474 20.6239 1.11992 73.9106 6.97001 11.1422 1.39362 71.806 106.742 38.3789 null null null null 0 0 106.7419 38.37885 -25.6604650867696 -10.0286350743501 .6375312895 -.0173256 -.31343789937673 -.0173256 5.79628 4.80026 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1 null 0 -.4442429655
7 1148.714 1129.5 102.5179 103.5 36.28986 36 58.55797 58 56 56 139.221 13.14395 276 276 3.77976 6.466156 21 35 156 170 163.648 28.6747 .00011394 .200767 3.77976 1074.8 18.6042 73.9136 6.46616 30.6001 1.75643 71.9177 5510.35 106.403 null null null null 0 0 5510.354 106.4034 -50.2059771693869 -24.0048050257794 .143255908 .200767 -32.2721236404583 .200767 95.3811 6.1075 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -1.714224048
8 564.4516 560.5 969.8871 966.5 36.03901 36 58.52837 58 62 62 38.51833 73.31967 282 282 3.860822 7.036325 21 34 178 191 184.819 28.0492 .000199373 .520831 3.86082 490.535 4.89183 73.9165 7.03632 897.86 9.31161 72.0274 2606.26 3012.62 null null null null 0 0 2606.259 3012.621 -68.9046597550502 -67.8513048207149 .05161576167 .520831 -.652103293238631 .520831 25.9908 31.2436 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .06292691344
9 251.2222 251.5 447.7593 446 35.69597 36 60.15751 59 54 54 14.94476 43.09092 273 273 3.092784 6.835845 21 35 198 212 205.694 28.5551 .000260572 .364327 3.09278 177.303 2.03372 73.9193 6.83584 375.621 5.86393 72.1386 913.691 1299.42 null null null null 0 0 913.6915 1299.419 -58.872451410967 -51.4936857743702 .06355749861 .364327 -1.79298175766767 .364327 10.4803 20.2856 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1529497793
10 82.76271 83 93.67797 93 36.21352 36 59.59075 59 59 59 8.611017 13.20977 281 281 3.792468 6.910121 21 35 220 233 227.033 28.5961 .00028738 -.00295696 3.79247 8.84072 1.12106 73.922 6.91012 21.4337 1.71977 72.2443 45.8405 73.6917 null null null null 0 0 45.84045 73.69173 -9.9673127565509 -17.5879579881292 .7249545767 -.00295696 -.110075861230836 -.00295696 5.81286 5.91278 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 1 null 1 .2061698185
11 96.94545 96 121.2364 121 35.69176 36 60.44086 60 55 55 9.534379 14.31648 279 279 3.893128 6.094217 21 35 241 255 248.466 28.3771 .0000102782 .154622 3.89313 23.0207 1.28562 73.9248 6.09422 48.8889 1.93043 72.3474 118.101 169.887 null null null null 0 0 118.1008 169.8865 -24.1410311286176 -31.8855992091164 .3021148309 .154622 -.220977780207354 .154622 6.59548 6.70816 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1579061085
12 165.1228 161 232.1754 235 36.41912 36 61.22059 61 57 57 16.22396 23.9487 272 272 3.72199 7.368719 21 35 262 275 269.196 28.4009 -.0000623981 .186217 3.72199 91.1916 2.14892 73.9312 7.36872 159.725 3.17208 72.4503 465.861 557.386 null null null null 0 0 465.8605 557.3855 -44.09556091191 -48.7445538118382 .09674502004 .186217 -.376027208638937 .186217 10.9779 11.0695 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .07789976191
13 90.18333 90 109.9333 109 36.17391 36 60.26087 60 60 60 8.0979 12.5237 276 276 3.999842 6.395799 22 35 284 297 290.946 28.8011 .00028505 .0836854 3.99984 16.2406 1.04543 73.9427 6.3958 37.3804 1.6168 72.5529 83.4973 129.616 null null null null 0 0 83.49732 129.6158 -22.3257526304287 -31.8827916981886 .4077523566 .0836854 -.194153604378176 .0836854 5.37485 5.60623 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .1909854774
14 1174.525 1127 112.3607 113 36.22615 36 61.15194 61 61 61 132.2104 13.47842 283 283 4.137498 7.155434 22 36 304 318 311.341 29.316 -.0000189293 .173191 4.1375 1100.57 16.9278 73.9538 7.15543 39.7056 1.72573 72.6551 5652.14 137.829 null null null null 0 0 5652.14 137.8289 -56.6215566731346 -32.1589666857402 .1353444924 .173191 -32.0143085446782 .173191 86.9352 5.99049 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -1.612872639
15 1420.274 1368 3002.242 2940.5 36.37681 36 62.41304 62 62 62 176.4378 310.6719 276 276 3.754663 7.383252 22 36 325 339 332.714 29.7104 .000172543 .909414 3.75466 1346.31 22.4076 73.9602 7.38325 2929.49 39.4554 72.7566 7251.67 9695.79 null null null null 0 0 7251.667 9695.792 -55.2692734273839 -60.8054329354702 .05024528121 .909414 -1.91890919721492 .909414 120.694 130.586 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 null 1 .1261454177
16 164.7679 166 206.6607 209 35.81295 35.5 60.21583 60 56 56 14.32479 23.3435 278 278 3.883815 6.687736 22 36 346 360 353.735 29.3841 -.000543348 -.173309 3.88382 90.8037 1.91423 73.9641 6.68774 133.803 3.11941 72.8576 463.578 467.23 null null null null 0 0 463.5783 467.2296 -46.3861433848899 -44.0629276638262 .1035567844 -.173309 -.0115512753418669 -.173309 9.77268 10.8927 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .003407215746
17 84.05 84 85.08333 85 36.30337 36 60.11236 60 60 60 6.203949 11.36646 267 267 3.861526 6.326525 23 36 368 381 374.887 30.0999 -.000431741 -.0250571 3.86153 10.0797 .800926 73.9703 6.32653 12.1249 1.4674 72.9584 52.4999 41.5002 null null null null 0 0 52.49987 41.50015 -18.006270664544 -10.6170001500314 .9081725495 -.0250571 -.0407295369102633 -.0250571 4.17163 5.0225 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1 null 1 -.1021085418
18 267.1613 259.5 608.4839 600.5 36.24549 36 59.37184 59 62 62 29.90707 63.11186 277 277 4.084837 6.981523 22 35 389 402 395.994 29.2111 .000209933 .485988 4.08484 193.182 3.7982 73.9795 6.98152 535.426 8.01521 73.0583 1000.86 1842.36 null null null null 0 0 1000.861 1842.362 -51.1899140643198 -58.2349188475402 .06112697777 .485988 -4.8368672700153 .485988 19.6782 27.5798 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .2650011146
20 81.52459 82 70.93443 70 36.46996 36 58.77385 59 61 61 9.017772 9.373489 283 283 4.02232 6.950057 22 35 432 445 438.798 29.1021 .000170362 -.108426 4.02232 7.5243 1.15461 74.0003 6.95006 -2.32137 1.20015 73.2558 42.7572 -7.28256 null null null null 0 0 42.75725 21.80359 -7.67984955798077 -1.14631030388539 1.364616811 -.108426 -.0807713275215999 -.108426 6.56112 3.7651 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 null 0 -.2924816367
21 1320.098 1295 106.0164 105 36.47794 37 57.29044 56.5 61 61 188.0952 13.28846 272 272 3.893351 6.589171 23 36 453 466 459.815 29.7754 .000336457 .0575176 3.89335 1246.09 24.0831 74.0115 6.58917 32.6646 1.70141 73.3518 6396.75 113.436 null null null null 0 0 6396.748 113.4357 -50.764597819842 -27.4997443090295 .1452234003 .0575176 -32.7583163134859 .0575176 123.63 5.90857 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -1.751209575

Total number of rows: 22153

Table truncated, full table size 9345 Kbytes.




Supplementary data files not provided
Raw data included within Sample table
Processed data included within Sample table
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