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ERDDAP
Ocean Observing System |
Compliance Complete Report
Compliance Dataset Results
CF 1.8 IOOS Compliance Report on ERDDAP datasets
|
Dataset Title: | Bedford Basin HYP Level 2 Binned (new)
![]() ![]() |
Institution: | MEOPAR, OFI (Dataset ID: new_bb1_hyp_level2_binned) |
Information: | Summary ![]() ![]() ![]() |
To view the map, check View : Map of All Related Data above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data
(Metadata)
(Refine the data subset and/or download the data)
green_backscattering |
---|
1/(m*sr) |
-0.01302466 |
-0.01291112 |
-0.01288679 |
-0.01287057 |
-0.012720535 |
-0.012704315 |
-0.012655655 |
-0.01262727 |
-0.01260294 |
-0.012550225000000002 |
-0.01254617 |
-0.012465070000000002 |
-0.012323145 |
-0.012310980000000001 |
-0.01229476 |
-0.012274485 |
-0.01213256 |
-0.01209201 |
-0.012063625000000001 |
-0.01177572 |
-0.011755445 |
-0.011572970000000002 |
-0.01134589 |
-0.011285065 |
-0.011175580000000001 |
-0.01096472 |
-0.01074575 |
-0.010729530000000001 |
-0.010084784999999999 |
-0.009837430000000001 |
-0.00972389 |
-0.009679285 |
-0.009298115000000001 |
-0.009285950000000001 |
-0.009233235 |
-0.009208905 |
-0.00906698 |
-0.00869392 |
-0.0086777 |
-0.00866959 |
-0.00846684 |
-0.008292475 |
-0.00810189 |
-0.00803701 |
-0.008024845 |
-0.00789914 |
-0.0078667 |
-0.00771261 |
-0.00763151 |
-0.007611235 |
-0.006921885 |
-0.006743465000000001 |
-0.006625870000000001 |
-0.006106830000000001 |
-0.00591219 |
-0.005677 |
-0.0055553500000000006 |
-0.00521473 |
-0.005194455000000001 |
-0.0051093 |
-0.00497954 |
-0.004886275000000001 |
-0.00471191 |
-0.0046227 |
-0.00429019 |
-0.004083385 |
-0.003410255 |
-0.0031223500000000003 |
-0.00291149 |
-0.00245733 |
-0.002420835 |
-0.00236812 |
-0.00231135 |
-0.00195451 |
-0.00185719 |
-0.0014841300000000002 |
-0.00147602 |
-0.0013381500000000002 |
-0.0011435100000000001 |
-0.00102997 |
-7.136800000000001E-4 |
-6.3258E-4 |
-5.06875E-4 |
-4.7849000000000004E-4 |
-4.7443500000000005E-4 |
-4.7038000000000006E-4 |
-4.66325E-4 |
-4.6227E-4 |
-4.58215E-4 |
-4.5416E-4 |
-4.4605000000000003E-4 |
-4.4199500000000004E-4 |
-4.3794000000000005E-4 |
-4.3794E-4 |
-4.33885E-4 |
-4.2983E-4 |
-4.25775E-4 |
-4.2172E-4 |
-4.17665E-4 |
-4.055E-4 |
-3.9739E-4 |
-3.93335E-4 |
-3.8928E-4 |
-3.85225E-4 |
-3.8117E-4 |
-3.7306000000000004E-4 |
-3.6900500000000005E-4 |
-3.6495000000000006E-4 |
-3.6495E-4 |
-3.60895E-4 |
-3.5684000000000003E-4 |
-3.52785E-4 |
-3.4873E-4 |
-3.44675E-4 |
-3.4062000000000003E-4 |
-3.3251000000000005E-4 |
-3.3251E-4 |
-3.28455E-4 |
-3.244E-4 |
-3.20345E-4 |
-3.1629E-4 |
-3.12235E-4 |
-3.0818E-4 |
-3.0412500000000003E-4 |
-3.0007000000000005E-4 |
-3.0007E-4 |
-2.96015E-4 |
-2.9196E-4 |
-2.9195999999999996E-4 |
-2.87905E-4 |
-2.8385E-4 |
-2.79795E-4 |
-2.7574E-4 |
-2.71685E-4 |
-2.6763000000000004E-4 |
-2.6763E-4 |
-2.63575E-4 |
-2.5952E-4 |
-2.55465E-4 |
-2.5546499999999997E-4 |
-2.5141000000000003E-4 |
-2.5141E-4 |
-2.47355E-4 |
-2.433E-4 |
-2.3924500000000002E-4 |
-2.3519000000000003E-4 |
-2.3519E-4 |
-2.3113500000000002E-4 |
-2.31135E-4 |
-2.2708E-4 |
-2.2302500000000001E-4 |
-2.1897E-4 |
-2.1491499999999998E-4 |
-2.1086E-4 |
-2.06805E-4 |
-2.0275E-4 |
-1.98695E-4 |
-1.9869499999999998E-4 |
-1.9464E-4 |
-1.8653000000000002E-4 |
-1.8247500000000003E-4 |
-1.82475E-4 |
-1.7842000000000002E-4 |
-1.7842E-4 |
-1.74365E-4 |
-1.7031000000000001E-4 |
-1.6625500000000003E-4 |
-1.622E-4 |
-1.58145E-4 |
-1.5409E-4 |
-1.5003500000000002E-4 |
-1.4598E-4 |
-1.41925E-4 |
-1.3787E-4 |
-1.3381500000000002E-4 |
-1.2976E-4 |
-1.2165E-4 |
-1.17595E-4 |
-1.1354E-4 |
-1.0948500000000001E-4 |
-1.0543E-4 |
-1.0137500000000001E-4 |
-1.01375E-4 |
-9.732E-5 |
-9.326500000000001E-5 |
-8.921000000000001E-5 |
-8.515500000000001E-5 |
-8.11E-5 |
-7.7045E-5 |
-7.299E-5 |
-7.298999999999999E-5 |
-6.8935E-5 |
-6.488E-5 |
-6.0825E-5 |
-5.677E-5 |
-5.2715E-5 |
-4.866E-5 |
-4.4605E-5 |
-4.055E-5 |
-4.0549999999999996E-5 |
-3.244E-5 |
-2.8385E-5 |
-2.433E-5 |
-2.0275E-5 |
-2.0274999999999998E-5 |
-1.622E-5 |
-1.2165E-5 |
-8.11E-6 |
-4.055E-6 |
0.0 |
4.055E-6 |
4.055000000000001E-6 |
8.109999999999999E-6 |
8.11E-6 |
1.2165E-5 |
1.622E-5 |
2.0274999999999998E-5 |
2.0275E-5 |
2.433E-5 |
2.4330000000000003E-5 |
2.8385E-5 |
3.244E-5 |
3.6494999999999995E-5 |
3.6495E-5 |
4.0549999999999996E-5 |
4.055E-5 |
4.4605E-5 |
4.866E-5 |
5.2715E-5 |
5.677E-5 |
6.0825E-5 |
6.488E-5 |
6.8935E-5 |
7.298999999999999E-5 |
7.299E-5 |
7.7045E-5 |
8.109999999999999E-5 |
8.11E-5 |
8.515500000000001E-5 |
8.921E-5 |
8.921000000000001E-5 |
9.326500000000001E-5 |
9.732E-5 |
1.01375E-4 |
1.0137500000000001E-4 |
1.0543E-4 |
1.09485E-4 |
1.1354E-4 |
1.17595E-4 |
1.1759500000000002E-4 |
1.2165E-4 |
1.25705E-4 |
1.2570500000000002E-4 |
1.2976E-4 |
1.3381500000000002E-4 |
1.3787E-4 |
1.41925E-4 |
1.4598E-4 |
1.5003500000000002E-4 |
1.5409E-4 |
1.58145E-4 |
1.622E-4 |
1.6625500000000003E-4 |
1.7031000000000001E-4 |
1.74365E-4 |
1.7842E-4 |
1.7842000000000002E-4 |
1.82475E-4 |
1.8247500000000003E-4 |
1.8653000000000002E-4 |
1.90585E-4 |
1.9464E-4 |
1.9869499999999998E-4 |
1.98695E-4 |
2.0275E-4 |
2.0275000000000002E-4 |
2.06805E-4 |
2.1086E-4 |
2.1086000000000002E-4 |
2.1491499999999998E-4 |
2.14915E-4 |
2.1897E-4 |
2.2302500000000001E-4 |
2.2708E-4 |
2.31135E-4 |
2.3113500000000002E-4 |
2.3519E-4 |
2.3519000000000003E-4 |
2.39245E-4 |
2.3924500000000002E-4 |
2.433E-4 |
2.47355E-4 |
2.5141E-4 |
2.5141000000000003E-4 |
2.5546499999999997E-4 |
2.55465E-4 |
2.5952E-4 |
2.63575E-4 |
2.6357500000000005E-4 |
2.6763E-4 |
2.6763000000000004E-4 |
2.71685E-4 |
2.7574E-4 |
2.79795E-4 |
2.8385E-4 |
2.87905E-4 |
2.9195999999999996E-4 |
2.9196E-4 |
2.96015E-4 |
3.0007E-4 |
3.0007000000000005E-4 |
3.0412500000000003E-4 |
3.0818E-4 |
3.12235E-4 |
3.1629E-4 |
3.20345E-4 |
3.2439999999999997E-4 |
3.244E-4 |
3.28455E-4 |
3.3251E-4 |
3.3251000000000005E-4 |
3.3656500000000004E-4 |
3.4062000000000003E-4 |
3.44675E-4 |
3.4873E-4 |
3.52785E-4 |
3.5684E-4 |
3.5684000000000003E-4 |
3.6089499999999997E-4 |
3.60895E-4 |
3.6495E-4 |
3.6495000000000006E-4 |
3.69005E-4 |
3.6900500000000005E-4 |
3.7306000000000004E-4 |
3.77115E-4 |
3.8117E-4 |
3.85225E-4 |
3.8928E-4 |
3.93335E-4 |
3.9333500000000003E-4 |
3.9738999999999996E-4 |
3.9739E-4 |
4.01445E-4 |
4.0144500000000006E-4 |
4.055E-4 |
4.0550000000000004E-4 |
4.0955500000000003E-4 |
4.1361E-4 |
4.17665E-4 |
4.2172E-4 |
4.25775E-4 |
4.2982999999999997E-4 |
4.2983E-4 |
4.33885E-4 |
4.3794E-4 |
4.3794000000000005E-4 |
4.4199500000000004E-4 |
4.4605000000000003E-4 |
4.50105E-4 |
4.5416E-4 |
4.58215E-4 |
4.5821500000000004E-4 |
4.6227E-4 |
4.6227000000000003E-4 |
4.6632499999999996E-4 |
4.66325E-4 |
4.6632500000000007E-4 |
4.7037999999999995E-4 |
4.7038E-4 |
4.7038000000000006E-4 |
4.724075E-4 |
4.74435E-4 |
4.7443500000000005E-4 |
4.7849000000000004E-4 |
4.82545E-4 |
4.866E-4 |
4.90655E-4 |
4.9471E-4 |
4.98765E-4 |
5.0282E-4 |
5.028200000000001E-4 |
5.06875E-4 |
5.068750000000001E-4 |
5.109299999999999E-4 |
5.1093E-4 |
5.149849999999999E-4 |
5.14985E-4 |
5.1904E-4 |
5.23095E-4 |
5.230950000000001E-4 |
5.2715E-4 |
5.271500000000001E-4 |
5.31205E-4 |
5.312050000000001E-4 |
5.3526E-4 |
5.352600000000001E-4 |
5.393150000000001E-4 |
5.4337E-4 |
5.47425E-4 |
5.5148E-4 |
5.55535E-4 |
5.5959E-4 |
5.63645E-4 |
5.677E-4 |
5.71755E-4 |
5.7581E-4 |
5.758100000000001E-4 |
5.798649999999999E-4 |
5.79865E-4 |
5.839199999999999E-4 |
5.8392E-4 |
5.87975E-4 |
5.9203E-4 |
5.920300000000001E-4 |
5.96085E-4 |
5.960850000000001E-4 |
6.0014E-4 |
6.001400000000001E-4 |
6.04195E-4 |
6.041950000000001E-4 |
6.062225E-4 |
6.082500000000001E-4 |
6.12305E-4 |
6.1636E-4 |
6.20415E-4 |
6.2447E-4 |
6.28525E-4 |
6.3258E-4 |
6.36635E-4 |
6.4069E-4 |
6.406900000000001E-4 |
6.44745E-4 |
6.447450000000001E-4 |
6.487999999999999E-4 |
6.488E-4 |
6.528549999999999E-4 |
6.52855E-4 |
6.5691E-4 |
6.60965E-4 |
6.609650000000001E-4 |
6.6502E-4 |
6.650200000000001E-4 |
6.69075E-4 |
6.690750000000001E-4 |
6.7313E-4 |
6.731300000000001E-4 |
6.771850000000001E-4 |
6.812400000000001E-4 |
6.85295E-4 |
6.8935E-4 |
6.93405E-4 |
6.9746E-4 |
7.01515E-4 |
7.0557E-4 |
7.09625E-4 |
7.1368E-4 |
7.136800000000001E-4 |
7.177349999999999E-4 |
7.17735E-4 |
7.217899999999999E-4 |
7.2179E-4 |
7.258449999999999E-4 |
7.25845E-4 |
7.299E-4 |
7.299000000000001E-4 |
7.319275E-4 |
7.33955E-4 |
7.339550000000001E-4 |
7.3801E-4 |
7.380100000000001E-4 |
7.42065E-4 |
7.420650000000001E-4 |
7.461200000000001E-4 |
7.501750000000001E-4 |
7.5423E-4 |
7.58285E-4 |
7.6234E-4 |
7.66395E-4 |
7.7045E-4 |
7.74505E-4 |
7.7856E-4 |
7.82615E-4 |
7.826150000000001E-4 |
7.8667E-4 |
7.866700000000001E-4 |
7.907249999999999E-4 |
7.90725E-4 |
7.947799999999999E-4 |
7.9478E-4 |
7.98835E-4 |
7.988350000000001E-4 |
8.0289E-4 |
8.028900000000001E-4 |
8.06945E-4 |
8.069450000000001E-4 |
8.11E-4 |
8.110000000000001E-4 |
8.150550000000001E-4 |
8.191100000000001E-4 |
8.23165E-4 |
8.2722E-4 |
8.31275E-4 |
8.3533E-4 |
8.39385E-4 |
8.4344E-4 |
8.47495E-4 |
8.5155E-4 |
8.515500000000001E-4 |
8.55605E-4 |
8.556050000000001E-4 |
8.596599999999999E-4 |
8.5966E-4 |
8.637149999999999E-4 |
8.63715E-4 |
8.6777E-4 |
8.677700000000001E-4 |
8.71825E-4 |
8.718250000000001E-4 |
8.7588E-4 |
8.758800000000001E-4 |
8.79935E-4 |
8.799350000000001E-4 |
8.839900000000001E-4 |
8.880450000000001E-4 |
8.921000000000001E-4 |
8.96155E-4 |
9.0021E-4 |
9.04265E-4 |
9.0832E-4 |
9.12375E-4 |
9.123750000000001E-4 |
9.1643E-4 |
9.164300000000001E-4 |
9.20485E-4 |
9.204850000000001E-4 |
9.2454E-4 |
9.245400000000001E-4 |
9.285949999999999E-4 |
9.28595E-4 |
9.285950000000002E-4 |
9.326499999999999E-4 |
9.3265E-4 |
9.326500000000001E-4 |
9.367049999999999E-4 |
9.36705E-4 |
9.367050000000001E-4 |
9.4076E-4 |
9.407600000000001E-4 |
9.44815E-4 |
9.448150000000001E-4 |
9.4887E-4 |
9.488700000000001E-4 |
9.52925E-4 |
9.529250000000001E-4 |
9.5698E-4 |
9.569800000000001E-4 |
9.610350000000001E-4 |
9.6509E-4 |
9.69145E-4 |
9.732E-4 |
9.77255E-4 |
9.8131E-4 |
9.85365E-4 |
9.853650000000002E-4 |
9.8942E-4 |
9.914475E-4 |
9.93475E-4 |
9.934750000000002E-4 |
9.9753E-4 |
0.001001585 |
0.0010015850000000001 |
0.00100564 |
0.0010056400000000001 |
0.001009695 |
0.0010096950000000001 |
0.00101375 |
0.0010137500000000001 |
0.001017805 |
0.0010218599999999999 |
0.00102186 |
0.001025915 |
0.0010299699999999998 |
0.00102997 |
0.001034025 |
0.00103808 |
0.001042135 |
0.00104619 |
0.0010461900000000002 |
0.001050245 |
0.0010543 |
0.0010543000000000002 |
0.001058355 |
0.00106241 |
0.0010624100000000002 |
0.001066465 |
0.00107052 |
0.0010705200000000002 |
0.001074575 |
0.0010786300000000001 |
0.001082685 |
0.0010826850000000001 |
0.00108674 |
0.0010907949999999999 |
0.001090795 |
0.00109485 |
0.0010989049999999998 |
0.001098905 |
0.00110296 |
0.001107015 |
0.00111107 |
0.001115125 |
0.0011151250000000002 |
0.00111918 |
0.001123235 |
0.0011232350000000002 |
0.00112729 |
0.001131345 |
0.0011313450000000002 |
0.0011354 |
0.001139455 |
0.0011394550000000002 |
0.00114351 |
0.0011435100000000001 |
0.0011475650000000001 |
0.00115162 |
0.0011516200000000001 |
0.001155675 |
0.0011597299999999999 |
0.00115973 |
0.001163785 |
0.0011678399999999999 |
0.00116784 |
0.001171895 |
0.00117595 |
0.001180005 |
0.00118406 |
0.0011840600000000002 |
0.001188115 |
0.00119217 |
0.0011921700000000002 |
0.001196225 |
0.00120028 |
0.0012002800000000002 |
0.001204335 |
0.00120839 |
0.0012083900000000002 |
0.001212445 |
0.0012165000000000001 |
0.001220555 |
0.0012205550000000001 |
0.00122461 |
0.0012286649999999999 |
0.001228665 |
0.00123272 |
0.0012367749999999999 |
0.001236775 |
0.00124083 |
0.001244885 |
0.00124894 |
0.001252995 |
0.0012529950000000002 |
0.00125705 |
0.001261105 |
0.0012611050000000002 |
0.00126516 |
0.001269215 |
0.0012692150000000002 |
0.00127327 |
0.0012773250000000002 |
0.00128138 |
0.0012813800000000001 |
0.0012854350000000001 |
0.00128949 |
0.0012894900000000001 |
0.0012935450000000001 |
0.0012975999999999999 |
0.0012976 |
0.001301655 |
0.0013057099999999999 |
0.00130571 |
0.001309765 |
0.00131382 |
0.001317875 |
0.00132193 |
0.0013219300000000002 |
0.001325985 |
0.00133004 |
0.0013300400000000002 |
0.001334095 |
0.00133815 |
0.0013381500000000002 |
0.001342205 |
0.00134626 |
0.0013462600000000002 |
0.001350315 |
0.0013543700000000001 |
0.001358425 |
0.0013584250000000001 |
0.0013624800000000001 |
0.0013665349999999999 |
0.001366535 |
0.00137059 |
0.0013746449999999999 |
0.001374645 |
0.0013787 |
0.001382755 |
0.00138681 |
0.001390865 |
0.0013908650000000002 |
0.00139492 |
0.001398975 |
0.0013989750000000002 |
0.00140303 |
0.001407085 |
0.0014070850000000002 |
0.00141114 |
0.001415195 |
0.0014151950000000002 |
0.00141925 |
0.0014192500000000002 |
0.0014233050000000001 |
0.00142736 |
0.0014273600000000001 |
0.0014314150000000001 |
0.0014354699999999999 |
0.00143547 |
0.001439525 |
0.0014435799999999999 |
0.00144358 |
0.001447635 |
0.00145169 |
0.001455745 |
0.0014598 |
0.0014598000000000002 |
0.001463855 |
0.00146791 |
0.0014679100000000002 |
0.001471965 |
0.00147602 |
0.0014760200000000002 |
0.001480075 |
0.00148413 |
0.0014841300000000002 |
0.001488185 |
0.0014922400000000001 |
0.001496295 |
0.0014962950000000001 |
0.0015003500000000001 |
0.001504405 |
0.0015044050000000001 |
0.00150846 |
0.0015125149999999999 |
0.001512515 |
0.00151657 |
0.0015206249999999998 |
0.001520625 |
0.00152468 |
0.001528735 |
0.0015287350000000002 |
0.00153279 |
0.001536845 |
0.0015368450000000002 |
0.0015409 |
0.001544955 |
0.0015449550000000002 |
0.00154901 |
0.001553065 |
0.0015530650000000002 |
0.00155712 |
0.0015611750000000001 |
0.00156523 |
0.0015652300000000001 |
0.0015692850000000001 |
0.00157334 |
0.0015733400000000001 |
0.001577395 |
0.0015814499999999999 |
0.00158145 |
0.001585505 |
0.00158956 |
0.001593615 |
0.00159767 |
0.001601725 |
0.00160578 |
0.001609835 |
0.00161389 |
0.0016138900000000002 |
0.001617945 |
0.001622 |
0.0016220000000000002 |
0.001626055 |
0.0016301100000000002 |
0.001634165 |
0.0016341650000000001 |
0.0016382200000000001 |
0.001642275 |
0.0016422750000000001 |
0.00164633 |
0.0016503849999999999 |
0.001650385 |
0.00165444 |
0.0016584949999999998 |
0.001658495 |
0.00166255 |
0.001666605 |
0.00167066 |
0.001674715 |
0.00167877 |
0.001682825 |
0.00168688 |
0.0016909350000000002 |
0.00169499 |
0.0016990450000000002 |
0.0017031 |
0.0017031000000000001 |
0.0017071550000000001 |
0.00171121 |
0.0017112100000000001 |
0.001715265 |
0.0017193199999999999 |
0.00171932 |
0.001723375 |
0.00172743 |
0.001731485 |
0.00173554 |
0.001739595 |
0.00174365 |
0.0017436500000000002 |
0.001747705 |
0.00175176 |
0.0017517600000000002 |
0.001755815 |
0.00175987 |
0.001763925 |
0.0017679800000000002 |
0.001772035 |
0.0017720350000000001 |
0.0017760900000000001 |
0.001780145 |
0.0017801450000000001 |
0.0017842000000000001 |
0.0017882549999999999 |
0.001788255 |
0.00179231 |
0.001796365 |
0.00180042 |
0.001804475 |
0.00180853 |
0.001812585 |
0.00181664 |
0.001820695 |
0.0018206950000000002 |
0.00182475 |
0.001828805 |
0.0018288050000000002 |
0.00183286 |
0.0018369150000000002 |
0.00184097 |
0.0018409700000000001 |
0.0018450250000000001 |
0.00184908 |
0.0018490800000000001 |
0.0018531350000000001 |
0.00185719 |
0.001861245 |
0.0018652999999999999 |
0.0018653 |
0.001869355 |
0.00187341 |
0.0018734100000000003 |
0.001877465 |
0.00188152 |
0.001885575 |
0.00188963 |
0.001893685 |
0.00189774 |
0.0019058500000000002 |
0.001909905 |
0.0019099050000000002 |
0.0019139600000000001 |
0.001918015 |
0.0019180150000000001 |
0.0019220700000000001 |
0.0019261249999999999 |
0.00193018 |
0.0019342349999999999 |
0.001934235 |
0.00193829 |
0.001942345 |
0.0019464 |
0.001950455 |
0.00195451 |
0.001958565 |
0.0019585650000000002 |
0.00196262 |
0.001966675 |
0.00197073 |
0.0019747849999999997 |
0.00197884 |
0.001982895 |
0.00198695 |
0.0019869500000000003 |
0.0019910049999999997 |
0.00199506 |
0.001999115 |
0.00200317 |
0.0020031700000000003 |
0.002007225 |
0.00201128 |
0.0020112800000000003 |
0.002015335 |
0.0020193900000000002 |
0.002023445 |
0.0020275 |
0.0020275000000000002 |
0.002031555 |
0.00203561 |
0.0020396650000000004 |
0.0020437199999999997 |
0.00204372 |
0.002047775 |
0.00205183 |
0.0020558850000000004 |
0.00205994 |
0.002063995 |
0.00206805 |
0.00207616 |
0.002080215 |
0.00208427 |
0.0020883250000000003 |
0.00209238 |
0.0020923800000000005 |
0.002096435 |
0.0020964350000000002 |
0.00210049 |
0.002104545 |
0.0021086 |
0.0021126549999999997 |
0.00211671 |
0.002120765 |
0.00212482 |
0.0021248200000000004 |
0.002128875 |
0.00213293 |
0.002136985 |
0.00214104 |
0.0021410400000000003 |
0.002145095 |
0.00214915 |
0.0021491500000000003 |
0.002153205 |
0.0021572600000000003 |
0.00216537 |
0.0021653700000000002 |
0.002169425 |
0.00218159 |
0.002185645 |
0.0021897 |
0.0021937550000000004 |
0.00219781 |
0.002201865 |
0.00220592 |
0.0022099750000000003 |
0.00221403 |
0.002218085 |
0.0022180850000000003 |
0.00222214 |
0.0022261950000000003 |
0.00223025 |
0.002234305 |
0.00223836 |
0.00224647 |
0.0022464700000000004 |
0.00225458 |
0.002258635 |
0.00226269 |
0.0022667449999999997 |
0.0022708 |
0.002274855 |
0.00227891 |
0.002282965 |
0.00228702 |
0.0022870200000000003 |
0.002291075 |
0.0022951300000000003 |
0.002299185 |
0.0023032400000000002 |
0.00231135 |
0.0023154050000000004 |
0.00231946 |
0.002323515 |
0.00232757 |
0.002331625 |
0.0023316250000000004 |
0.00233568 |
0.002339735 |
0.00234379 |
0.0023478450000000003 |
In total, there are 1241 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 241 rows aren't being shown.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data
(Metadata)
(Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.