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Sample GSM238727 Query DataSets for GSM238727
Status Public on Oct 18, 2008
Title AR_HTx_EMB6933
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 23S5
Organism(s) Homo sapiens
Characteristics Disease State: Acute Rejection Grade 1A
T 23S5
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 = 14:27:11; 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 = 14:27:11; 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/2005-02/59042.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 1449.475 1395 593.8361 584 37.57778 37 61.24444 61 61 61 208.737 56.10472 270 270 3.827054 6.779004 39 53 24 37 31.0026 46.3672 .000153303 .485122 3.82705 1375.44 26.726 74.0328 6.779 518.319 7.18347 75.5175 5371.34 1444.28 null null null null 0 0 5371.341 1444.28 -50.6267072362046 -59.5454676396541 .06559218326 .485122 -17.4661472112592 .485122 104.37 20.0165 1 1 1 1 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.5704314364
2 68.74545 68 67.4 66 37.51957 37 61.5089 61 55 55 5.831645 6.634924 281 281 3.931622 7.369878 38 52 45 59 52.4274 45.453 .000402975 .10941 3.93162 -5.34032 .786339 74.0858 7.36988 -8.19433 .894653 75.5943 -18.8508 -25.2607 null null null null 0 0 13.87826 22.71914 -7.86926429303863 -11.602642336192 1.861881307 .10941 0 .10941 2.7757 2.75795 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 null 0 0
3 99.09434 98 98.49057 100 37.95423 38 61.1162 61 53 53 7.301907 8.701509 284 284 3.934268 6.743447 39 53 66 80 73.3844 46.4984 .000211747 -.203832 3.93427 24.9567 1.00299 74.1377 6.74345 22.82 1.19524 75.6706 97.1438 63.7942 null null null null 0 0 97.14383 63.79419 -31.225256092595 -26.1795719255241 .4240294783 -.203832 -.176083441673362 -.203832 3.90416 3.34135 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 -.1826340748
4 3804.617 3737.5 2320.383 2265 38.03901 38 61.42199 61 60 60 292.2944 175.6757 282 282 4.174388 6.988751 39 52 87 101 94.6073 45.9869 .000135115 .861528 4.17439 3730.43 37.735 74.1845 6.98875 2244.64 22.6796 75.7451 14405.3 6325.24 null null null null 0 0 14405.33 6325.24 -66.530927973237 -66.5874185053793 .0557827599 .861528 -9.83088476906874 .861528 145.717 63.9097 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.3574461854
5 472.4098 463 541.5902 512 37.76534 38 60.93141 61 61 61 59.6678 80.10272 277 277 3.989001 6.473384 39 52 109 122 115.818 46.1229 -.000230202 .761338 3.989 398.179 7.63968 74.2308 6.47338 465.772 10.2561 75.8183 1528.2 1320.59 null null null null 0 0 1528.195 1320.589 -51.0057633774812 -47.5230307749557 .05465287311 .761338 -.609162661823179 .761338 29.3208 29.0788 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 -.06341132096
6 96.84211 96 92.10526 91 38.07904 38 60.47079 60 57 57 9.698655 10.07062 291 291 3.946706 6.492569 38 52 130 143 137.115 45.3807 -.000159926 .0491713 3.94671 22.5657 1.28462 74.2764 6.49257 16.2144 1.33389 75.8909 87.6356 45.4323 null null null null 0 0 87.63559 45.43225 -24.1867199863765 -16.9444955274571 .5224095535 .0491713 -.23287395983712 .0491713 4.98891 3.73751 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 1 null 0 -.2853162646
7 1374 1308.5 112.9821 113 37.96491 38 59.94035 60 56 56 166.9212 14.92952 285 285 4.101549 7.022596 38 52 151 165 158.365 45.5671 -.000108347 .249462 4.10155 1299.68 22.3058 74.3215 7.0226 37.0205 1.99504 75.9616 5003.87 104.633 null null null null 0 0 5003.868 104.6328 -50.404415605505 -25.3103307106056 .1397776235 .249462 -32.5360589823419 .249462 85.8791 5.63867 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -1.679638123
8 612.4464 602.5 1121.179 1114 37.04196 37 59.60839 59 56 56 47.79727 84.13628 286 286 4.000656 6.783918 38 51 172 186 179.288 44.7759 .000363305 .611274 4.00066 538.08 6.38718 74.3662 6.78392 1045.15 11.2432 76.0325 2094.67 2921.48 null null null null 0 0 2094.673 2921.478 -59.2167161609198 -61.54968621434 .05202057576 .611274 -2.26136711430078 .611274 24.8644 31.4279 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1444863679
9 278.0847 279 415.1356 409 37.16547 37 60.00719 60 59 59 22.57424 42.01373 278 278 3.964822 6.643578 38 52 193 207 200.533 45.4672 -.0000479845 .528394 3.96482 203.674 2.93892 74.4105 6.64358 339.033 5.46972 76.1027 783.148 959.464 null null null null 0 0 783.1482 959.4642 -57.2426130823756 -54.3467720449176 .06272028746 .528394 -.796630942188398 .528394 11.3004 15.4793 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .08818483807
10 79.01887 80 85.66038 85 37.61484 37 59.54064 59 53 53 5.796188 11.78973 283 283 3.915335 6.628512 38 51 214 228 221.598 45.2073 .000137085 .056379 3.91534 4.56342 .796168 74.4554 6.62851 9.48806 1.61944 76.1723 17.3592 27.1415 null null null null 0 0 17.35918 27.14149 -6.10576426706551 -6.36747792279483 1.526123836 .056379 -.0463409930693765 .056379 3.02861 4.63257 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 null 1 .1941046358
11 114.5893 112.5 106.0536 105 37.66787 38 60.03249 59 56 56 19.53345 14.51196 277 277 3.583094 6.507161 38 51 236 249 243.131 45.11 .0000841436 .252728 3.58309 40.0865 2.61027 74.5028 6.50716 29.8123 1.93924 76.2413 156.358 83.1703 null null null null 0 0 156.3581 83.17025 -20.8914248293184 -21.2579956256544 .2927919133 .252728 -.45705168434384 .252728 10.1814 5.41009 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -.2741524371
12 196.75 195.5 295.0167 291 38.0365 38 60.64599 60.5 60 60 20.27993 34.68673 274 274 4.206064 7.157736 38 51 257 270 264.138 44.8523 .000364808 .474885 4.20606 122.203 2.61813 74.5469 7.15774 218.707 4.47804 76.3097 471.042 617.419 null null null null 0 0 471.0418 617.4192 -48.0857928126185 -49.2333826959152 .07935178037 .474885 -.858223807198743 .474885 10.0918 12.6417 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .1175207146
13 93.68966 95 107.3966 105 38.15162 38 59.77256 60 58 58 8.649525 13.45811 277 277 3.92762 6.521056 38 52 278 292 285.709 45.4205 -.000331671 -.177066 3.92762 19.1007 1.13574 74.5889 6.52106 31.0188 1.76714 76.3778 74.3638 86.6978 null null null null 0 0 74.3638 86.6978 -23.5907704287419 -24.6179451159862 .4182847893 -.177066 -.0587835209583016 -.177066 4.4217 4.93917 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .06664651897
14 1400.018 1360 114.5893 112.5 37.95668 38 59.0722 59 56 56 149.3957 13.16438 277 277 3.683827 6.622468 38 52 299 312 306.074 45.4983 .00038757 -.0064306 3.68383 1325.39 19.9638 74.6308 6.62247 38.1435 1.75916 76.4458 5101.99 107.825 null null null null 0 0 5101.989 107.8248 -53.4797903621966 -28.9778067806464 .1393314169 -.0064306 -32.5641490755498 -.0064306 76.8495 4.97284 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -1.67502099
15 2163.927 2107 3635.382 3538 37.84669 37 60.05226 60 55 55 166.1211 291.9832 287 287 3.852732 6.81376 39 52 320 334 327.434 46.1437 .000236822 .904556 3.85273 2089.25 22.3998 74.6727 6.81376 3558.87 39.371 76.5139 8081.81 10011.3 null null null null 0 0 8081.805 10011.28 -60.6380286497087 -59.9075004176456 .04974014622 .904556 -1.21059166144031 .904556 86.6484 110.753 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .09298123171
16 161.3559 163 201.1356 205 37.58364 38 59.48699 60 59 59 13.38265 24.93679 269 269 3.873642 6.554936 38 52 341 355 348.526 45.5389 -.00010186 .116562 3.87364 86.6396 1.74227 74.7164 6.55494 124.553 3.24649 76.5826 333.858 351.725 null null null null 0 0 333.8584 351.7249 -49.6041915193603 -42.8897605597985 .1091132219 .116562 -.0779907048128946 .116562 6.7137 9.16776 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 1 .02264078253
17 84.35 85 92.21667 90.5 37.95035 38 59.72695 59 60 60 7.950749 14.82336 282 282 3.895113 7.133195 38 52 363 376 369.756 45.6507 .0000750224 .120147 3.89511 9.58946 1.02644 74.7605 7.1332 15.5648 1.91369 76.6519 36.944 43.963 null null null null 0 0 36.94403 43.96298 -12.511783593282 -10.4252732601389 .828794968 .120147 -.0327445204704062 .120147 3.95442 5.40525 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 null 1 .07554278371
18 309.2679 310.5 626.2679 627 37.95105 38 59.95105 59 56 56 19.56387 39.56329 286 286 4.082188 7.211422 38 51 383 397 390.671 45.0084 .00000138139 .160439 4.08219 234.463 2.61433 74.8051 7.21142 549.548 5.28687 76.7201 899.49 1558.75 null null null null 0 0 899.4897 1558.755 -61.30599445351 -64.6863752932777 .0591132423 .160439 -4.27091889800384 .160439 10.0296 14.9958 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 .2387816264
20 78.91379 80 78.62069 80 37.88258 38 59.80303 59 58 58 7.947822 8.833405 264 264 3.371407 7.393286 37 51 426 440 433.415 44.597 -.000316706 -.243117 3.37141 4.02645 1.0436 74.8873 7.39329 1.76487 1.15988 76.8558 15.0169 5.14931 null null null null 0 0 15.01688 21.57123 -3.45378564903111 -.793862526995847 1.845439667 -.243117 0 -.243117 3.89217 3.38417 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 null 0 0
21 1556.172 1495.5 112.6034 111.5 38.2509 38 61.27957 60 58 58 188.183 14.99701 279 279 3.848029 6.797215 38 52 447 461 454.59 45.3402 -.0000574603 .289219 3.84803 1481.23 24.7096 74.9414 6.79722 35.685 1.9692 76.9184 5700.97 100.892 null null null null 0 0 5700.972 100.8915 -52.4648819125172 -25.2477947732711 .144727392 .289219 -33.0089360193835 .289219 95.1026 5.56749 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 null 0 -1.752094302

Total number of rows: 22153

Table truncated, full table size 9354 Kbytes.




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