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ERDDAP > tabledap > Subset ?

Dataset Title:  "CREMP - Florida Keys Revisited OBIS_Occurrence v2.3 - 2008" Subscribe RSS
Institution:  FWC-FWRI   (Dataset ID: fk_CREMP_Rev_OBIS_Occurrence_v2_3_1_2008)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 1157)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    latitude ?  =  degrees_north   46 options
    longitude ?  =  degrees_east   49 options
    organismQuantity ?  =  1093 options

View:      Map of Distinct Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of Distinct Data ?   (Refine the map and/or download the image)
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Map of Distinct Data
 

Distinct Data Counts ?

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)  

latitude longitude organismQuantity
degrees_north degrees_east
24.4517 -81.8798 0.0
24.4517 -81.8798 3.17058E-4
24.4517 -81.8798 3.17864E-4
24.4517 -81.8798 3.25733E-4
24.4517 -81.8798 6.34115E-4
24.4517 -81.8798 6.35728E-4
24.4517 -81.8798 6.51466E-4
24.4517 -81.8798 9.51173E-4
24.4517 -81.8798 0.001271456
24.4517 -81.8798 0.001302932
24.4517 -81.8798 0.00158932
24.4517 -81.8798 0.001902346
24.4517 -81.8798 0.002605863
24.4517 -81.8798 0.002860776
24.4517 -81.8798 0.003583062
24.4517 -81.8798 0.00412175
24.4517 -81.8798 0.004450095
24.4517 -81.8798 0.005707039
24.4517 -81.8798 0.006357279
24.4517 -81.8798 0.006675143
24.4517 -81.8798 0.007166124
24.4517 -81.8798 0.008264463
24.4517 -81.8798 0.010779962
24.4517 -81.8798 0.01237785
24.4517 -81.8798 0.021876982
24.4517 -81.8798 0.024793388
24.4517 -81.8798 0.026058632
24.4517 -81.8798 0.032247557
24.4517 -81.8798 0.045022194
24.4517 -81.8798 0.10906785
24.4517 -81.8798 0.127463446
24.4517 -81.8798 0.150814332
24.4517 -81.8798 0.760912052
24.4517 -81.8798 0.797083069
24.4517 -81.8798 0.813731723
24.452 -81.8775 0.0
24.452 -81.8775 3.16756E-4
24.452 -81.8775 3.33E-4
24.452 -81.8775 6.33513E-4
24.452 -81.8775 6.66001E-4
24.452 -81.8775 6.9541E-4
24.452 -81.8775 0.001332001
24.452 -81.8775 0.001738526
24.452 -81.8775 0.001900538
24.452 -81.8775 0.002433936
24.452 -81.8775 0.002781641
24.452 -81.8775 0.002850808
24.452 -81.8775 0.003477051
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24.452 -81.8775 0.004662005
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24.452 -81.8775 0.008658009
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24.452 -81.8775 0.013937282
24.452 -81.8775 0.040681502
24.452 -81.8775 0.041292041
24.452 -81.8775 0.041958042
24.452 -81.8775 0.043810848
24.452 -81.8775 0.076021539
24.452 -81.8775 0.884214186
24.452 -81.8775 0.889768768
24.452 -81.8775 0.895437895
24.4532 -81.8568 0.0
24.4532 -81.8568 3.31455E-4
24.4532 -81.8568 6.6291E-4
24.4532 -81.8568 8.85217E-4
24.4532 -81.8568 9.94365E-4
24.4532 -81.8568 0.001988731
24.4532 -81.8568 0.002065506
24.4532 -81.8568 0.002320186
24.4532 -81.8568 0.002360578
24.4532 -81.8568 0.003314551
24.4532 -81.8568 0.003540868
24.4532 -81.8568 0.00649159
24.4532 -81.8568 0.007292012
24.4532 -81.8568 0.008949287
24.4532 -81.8568 0.010275108
24.4532 -81.8568 0.02183535
24.4532 -81.8568 0.025853497
24.4532 -81.8568 0.080875041
24.4532 -81.8568 0.084390676
24.4532 -81.8568 0.098259073
24.4532 -81.8568 0.158104077
24.4532 -81.8568 0.695392774
24.4532 -81.8568 0.779285925
24.4545 -81.8589 0.0
24.4545 -81.8589 2.94464E-4
24.4545 -81.8589 3.17259E-4
24.4545 -81.8589 3.35121E-4
24.4545 -81.8589 5.88928E-4
24.4545 -81.8589 6.34518E-4
24.4545 -81.8589 6.70241E-4
24.4545 -81.8589 8.83392E-4
24.4545 -81.8589 9.51777E-4
24.4545 -81.8589 0.001177856
24.4545 -81.8589 0.001586294
24.4545 -81.8589 0.002538071
24.4545 -81.8589 0.002680965
24.4545 -81.8589 0.003016086
24.4545 -81.8589 0.004021448
24.4545 -81.8589 0.005594817
24.4545 -81.8589 0.006979695
24.4545 -81.8589 0.009517766
24.4545 -81.8589 0.016420912
24.4545 -81.8589 0.027385159
24.4545 -81.8589 0.029825737
24.4545 -81.8589 0.052613941
24.4545 -81.8589 0.053592462
24.4545 -81.8589 0.068845178
24.4545 -81.8589 0.075067024
24.4545 -81.8589 0.815013405
24.4545 -81.8589 0.906725888
24.4545 -81.8589 0.909305065
24.4548 -81.857 0.0
24.4548 -81.857 3.125E-4
24.4548 -81.857 9.375E-4
24.4548 -81.857 0.00125
24.4548 -81.857 0.0015625
24.4548 -81.857 0.0028125
24.4548 -81.857 0.0065625
24.4548 -81.857 0.026875
24.4548 -81.857 0.04125
24.4548 -81.857 0.065625
24.4548 -81.857 0.8521875
24.478 -81.7171 0.0
24.478 -81.7171 4.12882E-4
24.478 -81.7171 0.001080692
24.478 -81.7171 0.001238646
24.478 -81.7171 0.001440922
24.478 -81.7171 0.00206441
24.478 -81.7171 0.002161383
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24.478 -81.7171 0.077208918
24.478 -81.7171 0.844343518
24.478 -81.7171 0.898054755
24.4796 -81.7176 0.0
24.4796 -81.7176 2.73673E-4
24.4796 -81.7176 5.47345E-4
24.4796 -81.7176 8.21018E-4
24.4796 -81.7176 9.40144E-4
24.4796 -81.7176 0.001094691
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24.4796 -81.7176 0.017549358
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24.4796 -81.7176 0.08147916
24.4796 -81.7176 0.8686932
24.4796 -81.7176 0.889709907
24.4796 -81.7142 0.0
24.4796 -81.7142 2.90698E-4
24.4796 -81.7142 5.81395E-4
24.4796 -81.7142 8.72093E-4
24.4796 -81.7142 0.001162791
24.4796 -81.7142 0.004069767
24.4796 -81.7142 0.00494186
24.4796 -81.7142 0.009883721
24.4796 -81.7142 0.013953488
24.4796 -81.7142 0.096511628
24.4796 -81.7142 0.867732558
24.4798 -81.7158 0.0
24.4798 -81.7158 3.98883E-4
24.4798 -81.7158 7.97766E-4
24.4798 -81.7158 0.001196649
24.4798 -81.7158 0.001595533
24.4798 -81.7158 0.003191065
24.4798 -81.7158 0.004786598
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24.4798 -81.7158 0.030315118
24.4798 -81.7158 0.036697248
24.4798 -81.7158 0.040686079
24.4798 -81.7158 0.857997607
24.4884 -81.6659 0.0
24.4884 -81.6659 2.98418E-4
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24.4884 -81.6659 5.82411E-4
24.4884 -81.6659 6.04412E-4
24.4884 -81.6659 8.95255E-4
24.4884 -81.6659 9.06618E-4
24.4884 -81.6659 0.001164822
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24.4884 -81.6659 0.070426738
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24.4884 -81.6659 0.107887579
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24.4884 -81.6659 0.644146768
24.4884 -81.6659 0.720459353
24.4884 -81.6659 0.829603104
24.4917 -81.663565 0.0
24.4917 -81.663565 2.91545E-4
24.4917 -81.663565 2.98775E-4
24.4917 -81.663565 3.28623E-4
24.4917 -81.663565 0.0011951
24.4917 -81.663565 0.001749271
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24.4917 -81.663565 0.119825073
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24.4917 -81.663565 0.63148688
24.4917 -81.663565 0.81367072
24.4917 -81.663565 0.819838661
24.4977 -81.8056 0.0
24.4977 -81.8056 3.26691E-4
24.4977 -81.8056 3.29164E-4
24.4977 -81.8056 5.74383E-4
24.4977 -81.8056 6.53381E-4
24.4977 -81.8056 8.61574E-4
24.4977 -81.8056 9.80072E-4
24.4977 -81.8056 9.87492E-4
24.4977 -81.8056 0.001148765
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24.5036 -81.7677 0.0
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24.5421 -81.4153 0.0
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25.0447 -80.3948 0.001983003
25.0447 -80.3948 0.002804612
25.0447 -80.3948 0.003037667
25.0447 -80.3948 0.003116236
25.0447 -80.3948 0.004248745
25.0447 -80.3948 0.00509915
25.0447 -80.3948 0.005665722
25.0447 -80.3948 0.007290401
25.0447 -80.3948 0.008883739
25.0447 -80.3948 0.009915014
25.0447 -80.3948 0.012776566
25.0447 -80.3948 0.018153727
25.0447 -80.3948 0.020048603
25.0447 -80.3948 0.042487447
25.0447 -80.3948 0.079464007
25.0447 -80.3948 0.081303116
25.0447 -80.3948 0.085552408
25.0447 -80.3948 0.173426033
25.0447 -80.3948 0.201620443
25.0447 -80.3948 0.234507898
25.0447 -80.3948 0.252126367
25.0447 -80.3948 0.254908071
25.0447 -80.3948 0.309772113
25.0447 -80.3948 0.393767705
25.0447 -80.3948 0.411898017
25.0447 -80.3948 0.439165701
25.0447 -80.3948 0.440012465
25.0447 -80.3948 0.47873633
25.1032 -80.3243 0.0
25.1032 -80.3243 2.73673E-4
25.1032 -80.3243 2.98775E-4
25.1032 -80.3243 3.04229E-4
25.1032 -80.3243 5.9755E-4
25.1032 -80.3243 9.12686E-4
25.1032 -80.3243 0.001094691
25.1032 -80.3243 0.0011951
25.1032 -80.3243 0.001493875
25.1032 -80.3243 0.001521144
25.1032 -80.3243 0.001825373
25.1032 -80.3243 0.001915709
25.1032 -80.3243 0.002091425
25.1032 -80.3243 0.00243383
25.1032 -80.3243 0.002688975

In total, there are 1157 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 157 rows aren't being shown.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?

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.


 
ERDDAP, Version 2.02
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