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ERDDAP > tabledap > Subset ?

Dataset Title:  "CREMP - Florida Keys Revisited OBIS_Occurrence v2.2 - 2001" Subscribe RSS
Institution:  FWC-FWRI   (Dataset ID: fk_CREMP_Rev_OBIS_Occurrence_v2_2_2001)
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: 1156)
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   50 options
    longitude ?  =  degrees_east   54 options
    organismQuantity ?  =  1077 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 4.56413E-4
24.4517 -81.8798 4.77327E-4
24.4517 -81.8798 5.0E-4
24.4517 -81.8798 9.54654E-4
24.4517 -81.8798 0.001369238
24.4517 -81.8798 0.0015
24.4517 -81.8798 0.002
24.4517 -81.8798 0.002282063
24.4517 -81.8798 0.003194888
24.4517 -81.8798 0.003341289
24.4517 -81.8798 0.004107713
24.4517 -81.8798 0.0045
24.4517 -81.8798 0.005476951
24.4517 -81.8798 0.0055
24.4517 -81.8798 0.005727924
24.4517 -81.8798 0.007
24.4517 -81.8798 0.0075
24.4517 -81.8798 0.007759014
24.4517 -81.8798 0.014797136
24.4517 -81.8798 0.018138425
24.4517 -81.8798 0.020994979
24.4517 -81.8798 0.031
24.4517 -81.8798 0.057507987
24.4517 -81.8798 0.064916468
24.4517 -81.8798 0.148790507
24.4517 -81.8798 0.168
24.4517 -81.8798 0.21575179
24.4517 -81.8798 0.3385
24.4517 -81.8798 0.432
24.4517 -81.8798 0.67398568
24.4517 -81.8798 0.745321771
24.452 -81.8775 0.0
24.452 -81.8775 5.25486E-4
24.452 -81.8775 5.47345E-4
24.452 -81.8775 0.001094691
24.452 -81.8775 0.001135718
24.452 -81.8775 0.001642036
24.452 -81.8775 0.001703578
24.452 -81.8775 0.002101944
24.452 -81.8775 0.002189381
24.452 -81.8775 0.002736727
24.452 -81.8775 0.003678403
24.452 -81.8775 0.004542873
24.452 -81.8775 0.005780347
24.452 -81.8775 0.006246451
24.452 -81.8775 0.006568144
24.452 -81.8775 0.007382169
24.452 -81.8775 0.008407777
24.452 -81.8775 0.008757526
24.452 -81.8775 0.008933263
24.452 -81.8775 0.009304871
24.452 -81.8775 0.009653606
24.452 -81.8775 0.009852217
24.452 -81.8775 0.012611666
24.452 -81.8775 0.014764338
24.452 -81.8775 0.01532567
24.452 -81.8775 0.018739353
24.452 -81.8775 0.044882321
24.452 -81.8775 0.047819233
24.452 -81.8775 0.078817734
24.452 -81.8775 0.817186645
24.452 -81.8775 0.907514451
24.452 -81.8775 0.928449744
24.4532 -81.8568 0.0
24.4532 -81.8568 5.2356E-4
24.4532 -81.8568 0.001079331
24.4532 -81.8568 0.002094241
24.4532 -81.8568 0.002158662
24.4532 -81.8568 0.003141361
24.4532 -81.8568 0.003237992
24.4532 -81.8568 0.003777658
24.4532 -81.8568 0.004856989
24.4532 -81.8568 0.005759162
24.4532 -81.8568 0.007555316
24.4532 -81.8568 0.007853403
24.4532 -81.8568 0.011872639
24.4532 -81.8568 0.030760928
24.4532 -81.8568 0.035078534
24.4532 -81.8568 0.061521856
24.4532 -81.8568 0.069633508
24.4532 -81.8568 0.110631409
24.4532 -81.8568 0.32513089
24.4532 -81.8568 0.543979058
24.4532 -81.8568 0.752833243
24.4545 -81.8589 0.0
24.4545 -81.8589 4.84731E-4
24.4545 -81.8589 5.11771E-4
24.4545 -81.8589 5.41126E-4
24.4545 -81.8589 9.69462E-4
24.4545 -81.8589 0.001023541
24.4545 -81.8589 0.001082251
24.4545 -81.8589 0.001454193
24.4545 -81.8589 0.001535312
24.4545 -81.8589 0.001938924
24.4545 -81.8589 0.002047083
24.4545 -81.8589 0.002423655
24.4545 -81.8589 0.002558854
24.4545 -81.8589 0.002705628
24.4545 -81.8589 0.003070624
24.4545 -81.8589 0.003877848
24.4545 -81.8589 0.008240427
24.4545 -81.8589 0.008700102
24.4545 -81.8589 0.01502666
24.4545 -81.8589 0.020843432
24.4545 -81.8589 0.023029683
24.4545 -81.8589 0.024350649
24.4545 -81.8589 0.032467532
24.4545 -81.8589 0.041453429
24.4545 -81.8589 0.066408143
24.4545 -81.8589 0.08982684
24.4545 -81.8589 0.158549784
24.4545 -81.8589 0.682900433
24.4545 -81.8589 0.876393602
24.4545 -81.8589 0.915046059
24.4548 -81.857 0.0
24.4548 -81.857 5.01002E-4
24.4548 -81.857 0.002004008
24.4548 -81.857 0.003006012
24.4548 -81.857 0.003507014
24.4548 -81.857 0.004509018
24.4548 -81.857 0.01252505
24.4548 -81.857 0.03507014
24.4548 -81.857 0.043086172
24.4548 -81.857 0.081162325
24.4548 -81.857 0.812625251
24.478 -81.7171 0.0
24.478 -81.7171 5.29381E-4
24.478 -81.7171 5.31632E-4
24.478 -81.7171 0.001588142
24.478 -81.7171 0.002646903
24.478 -81.7171 0.002658161
24.478 -81.7171 0.003721425
24.478 -81.7171 0.004764426
24.478 -81.7171 0.004784689
24.478 -81.7171 0.005847953
24.478 -81.7171 0.006881948
24.478 -81.7171 0.017469561
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24.478 -81.7171 0.021796917
24.478 -81.7171 0.02764487
24.478 -81.7171 0.030704076
24.478 -81.7171 0.174166226
24.478 -81.7171 0.309409888
24.478 -81.7171 0.615629984
24.478 -81.7171 0.742191636
24.4796 -81.7176 0.0
24.4796 -81.7176 4.89476E-4
24.4796 -81.7176 4.95786E-4
24.4796 -81.7176 0.001468429
24.4796 -81.7176 0.001487357
24.4796 -81.7176 0.001957905
24.4796 -81.7176 0.002478929
24.4796 -81.7176 0.003966287
24.4796 -81.7176 0.004405286
24.4796 -81.7176 0.006363191
24.4796 -81.7176 0.006941001
24.4796 -81.7176 0.007932573
24.4796 -81.7176 0.010279001
24.4796 -81.7176 0.014194812
24.4796 -81.7176 0.016152717
24.4796 -81.7176 0.01784829
24.4796 -81.7176 0.019831433
24.4796 -81.7176 0.020823004
24.4796 -81.7176 0.029368576
24.4796 -81.7176 0.083787804
24.4796 -81.7176 0.826970749
24.4796 -81.7176 0.913852178
24.4796 -81.7142 0.0
24.4796 -81.7142 4.97265E-4
24.4796 -81.7142 0.001491795
24.4796 -81.7142 0.00298359
24.4796 -81.7142 0.010442566
24.4796 -81.7142 0.017901542
24.4796 -81.7142 0.377921432
24.4796 -81.7142 0.58478369
24.4798 -81.7158 0.0
24.4798 -81.7158 5.68828E-4
24.4798 -81.7158 0.001706485
24.4798 -81.7158 0.002275313
24.4798 -81.7158 0.007394767
24.4798 -81.7158 0.007963595
24.4798 -81.7158 0.008532423
24.4798 -81.7158 0.024459613
24.4798 -81.7158 0.033560865
24.4798 -81.7158 0.04778157
24.4798 -81.7158 0.858361775
24.4884 -81.6659 0.0
24.4884 -81.6659 5.09424E-4
24.4884 -81.6659 5.18135E-4
24.4884 -81.6659 0.001036269
24.4884 -81.6659 0.001049318
24.4884 -81.6659 0.001528273
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24.4884 -81.6659 0.00996852
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24.4884 -81.6659 0.026757608
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24.4884 -81.6659 0.206735751
24.4884 -81.6659 0.240957718
24.4884 -81.6659 0.56444218
24.4884 -81.6659 0.646632124
24.4884 -81.6659 0.742392445
24.4917 -81.663565 0.0
24.4917 -81.663565 4.88281E-4
24.4917 -81.663565 5.03525E-4
24.4917 -81.663565 5.22739E-4
24.4917 -81.663565 9.76563E-4
24.4917 -81.663565 0.001510574
24.4917 -81.663565 0.001953125
24.4917 -81.663565 0.002090957
24.4917 -81.663565 0.005227392
24.4917 -81.663565 0.006347656
24.4917 -81.663565 0.006795609
24.4917 -81.663565 0.008789063
24.4917 -81.663565 0.010070493
24.4917 -81.663565 0.014636696
24.4917 -81.663565 0.015136719
24.4917 -81.663565 0.025679758
24.4917 -81.663565 0.027190332
24.4917 -81.663565 0.048092002
24.4917 -81.663565 0.051269531
24.4917 -81.663565 0.055175781
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24.4917 -81.663565 0.083115525
24.4917 -81.663565 0.196878147
24.4917 -81.663565 0.737160121
24.4917 -81.663565 0.802734375
24.4917 -81.663565 0.838996341
24.4977 -81.8056 0.0
24.4977 -81.8056 4.85909E-4
24.4977 -81.8056 4.88759E-4
24.4977 -81.8056 5.66572E-4
24.4977 -81.8056 9.71817E-4
24.4977 -81.8056 9.77517E-4
24.4977 -81.8056 0.001133144
24.4977 -81.8056 0.002429543
24.4977 -81.8056 0.002832861
24.4977 -81.8056 0.002932551
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24.5036 -81.7677 0.0
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24.5036 -81.7677 5.03525E-4
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24.5421 -81.4153 0.0
24.5421 -81.4153 5.33903E-4
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24.5426 -81.4128 0.0
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24.5475 -81.5866 0.0
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25.0447 -80.3948 0.069137168
25.0447 -80.3948 0.08714044
25.0447 -80.3948 0.129032258
25.0447 -80.3948 0.152327221
25.0447 -80.3948 0.159845133
25.0447 -80.3948 0.255483871
25.0447 -80.3948 0.275442478
25.0447 -80.3948 0.296661965
25.0447 -80.3948 0.415820643
25.0447 -80.3948 0.461836283
25.0447 -80.3948 0.467005076
25.0447 -80.3948 0.49835449
25.0447 -80.3948 0.59483871
25.1032 -80.3243 0.0
25.1032 -80.3243 4.23908E-4
25.1032 -80.3243 4.41112E-4
25.1032 -80.3243 4.55581E-4
25.1032 -80.3243 8.47817E-4
25.1032 -80.3243 8.82223E-4
25.1032 -80.3243 0.001822323
25.1032 -80.3243 0.002119542
25.1032 -80.3243 0.002205558
25.1032 -80.3243 0.002277904
25.1032 -80.3243 0.00264667
25.1032 -80.3243 0.003815176
25.1032 -80.3243 0.004411116
25.1032 -80.3243 0.004555809
25.1032 -80.3243 0.004852228
25.1032 -80.3243 0.00501139
25.1032 -80.3243 0.005086901
25.1032 -80.3243 0.00546697
25.1032 -80.3243 0.005734451
25.1032 -80.3243 0.008902077
25.1032 -80.3243 0.016762241
25.1032 -80.3243 0.017380246
25.1032 -80.3243 0.019850022
25.1032 -80.3243 0.02713014
25.1032 -80.3243 0.038724374

In total, there are 1156 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 156 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 1.82
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