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ERDDAP > tabledap > Subset ?

Dataset Title:  "CREMP - Florida Keys Revisited OBIS_Occurrence v2.2 - 2009" Subscribe RSS
Institution:  FWC-FWRI   (Dataset ID: fk_CREMP_Rev_OBIS_Occurrence_v2_2_2009)
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: 1292)
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   51 options
    longitude ?  =  degrees_east   54 options
    organismQuantity ?  =  1228 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 2.96472E-4
24.4517 -81.8798 5.92944E-4
24.4517 -81.8798 5.98623E-4
24.4517 -81.8798 6.23441E-4
24.4517 -81.8798 8.89416E-4
24.4517 -81.8798 8.97935E-4
24.4517 -81.8798 0.001197246
24.4517 -81.8798 0.001496558
24.4517 -81.8798 0.001778832
24.4517 -81.8798 0.002075304
24.4517 -81.8798 0.002182045
24.4517 -81.8798 0.002371776
24.4517 -81.8798 0.002394493
24.4517 -81.8798 0.003261192
24.4517 -81.8798 0.003591739
24.4517 -81.8798 0.003854136
24.4517 -81.8798 0.00444708
24.4517 -81.8798 0.00467581
24.4517 -81.8798 0.004788985
24.4517 -81.8798 0.004987531
24.4517 -81.8798 0.008104738
24.4517 -81.8798 0.009577971
24.4517 -81.8798 0.011845387
24.4517 -81.8798 0.013044767
24.4517 -81.8798 0.02697895
24.4517 -81.8798 0.043100868
24.4517 -81.8798 0.07026386
24.4517 -81.8798 0.098174199
24.4517 -81.8798 0.104358138
24.4517 -81.8798 0.122506234
24.4517 -81.8798 0.132169576
24.4517 -81.8798 0.256210715
24.4517 -81.8798 0.577970667
24.4517 -81.8798 0.712281796
24.4517 -81.8798 0.765490661
24.452 -81.8775 0.0
24.452 -81.8775 3.66435E-4
24.452 -81.8775 3.66972E-4
24.452 -81.8775 3.67377E-4
24.452 -81.8775 7.32869E-4
24.452 -81.8775 7.33945E-4
24.452 -81.8775 7.34754E-4
24.452 -81.8775 0.001099304
24.452 -81.8775 0.001102131
24.452 -81.8775 0.001465738
24.452 -81.8775 0.00146789
24.452 -81.8775 0.001469508
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24.452 -81.8775 0.002568807
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24.452 -81.8775 0.004397215
24.452 -81.8775 0.008427996
24.452 -81.8775 0.008440367
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24.452 -81.8775 0.009893734
24.452 -81.8775 0.010653931
24.452 -81.8775 0.01355808
24.452 -81.8775 0.014678899
24.452 -81.8775 0.0191036
24.452 -81.8775 0.021651376
24.452 -81.8775 0.04440367
24.452 -81.8775 0.053944954
24.452 -81.8775 0.068523269
24.452 -81.8775 0.089272594
24.452 -81.8775 0.84733945
24.452 -81.8775 0.862233652
24.452 -81.8775 0.884206669
24.4532 -81.8568 0.0
24.4532 -81.8568 3.06373E-4
24.4532 -81.8568 3.45423E-4
24.4532 -81.8568 6.12745E-4
24.4532 -81.8568 6.90846E-4
24.4532 -81.8568 0.002072539
24.4532 -81.8568 0.002417962
24.4532 -81.8568 0.003676471
24.4532 -81.8568 0.003982843
24.4532 -81.8568 0.004595588
24.4532 -81.8568 0.005208333
24.4532 -81.8568 0.00656304
24.4532 -81.8568 0.008272059
24.4532 -81.8568 0.008290155
24.4532 -81.8568 0.011398964
24.4532 -81.8568 0.027879902
24.4532 -81.8568 0.043177893
24.4532 -81.8568 0.083026961
24.4532 -81.8568 0.1208981
24.4532 -81.8568 0.137254902
24.4532 -81.8568 0.166839378
24.4532 -81.8568 0.635924007
24.4532 -81.8568 0.723958333
24.4545 -81.8589 0.0
24.4545 -81.8589 3.25945E-4
24.4545 -81.8589 3.31895E-4
24.4545 -81.8589 3.79651E-4
24.4545 -81.8589 6.5189E-4
24.4545 -81.8589 6.6379E-4
24.4545 -81.8589 9.95685E-4
24.4545 -81.8589 0.00132758
24.4545 -81.8589 0.001629726
24.4545 -81.8589 0.002281617
24.4545 -81.8589 0.002323266
24.4545 -81.8589 0.002657555
24.4545 -81.8589 0.003318951
24.4545 -81.8589 0.003416856
24.4545 -81.8589 0.003911343
24.4545 -81.8589 0.005215124
24.4545 -81.8589 0.007593014
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24.4545 -81.8589 0.02088079
24.4545 -81.8589 0.023158694
24.4545 -81.8589 0.024119948
24.4545 -81.8589 0.032268579
24.4545 -81.8589 0.035180883
24.4545 -81.8589 0.065383339
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24.4545 -81.8589 0.168839635
24.4545 -81.8589 0.759452412
24.4545 -81.8589 0.832574032
24.4545 -81.8589 0.870229008
24.4548 -81.857 0.0
24.4548 -81.857 3.71471E-4
24.4548 -81.857 7.42942E-4
24.4548 -81.857 0.00371471
24.4548 -81.857 0.01077266
24.4548 -81.857 0.037147103
24.4548 -81.857 0.056463596
24.4548 -81.857 0.070579495
24.4548 -81.857 0.820208024
24.478 -81.7171 0.0
24.478 -81.7171 3.07503E-4
24.478 -81.7171 3.25521E-4
24.478 -81.7171 9.22509E-4
24.478 -81.7171 9.76563E-4
24.478 -81.7171 0.001230012
24.478 -81.7171 0.001302083
24.478 -81.7171 0.001627604
24.478 -81.7171 0.001845018
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24.478 -81.7171 0.083333333
24.478 -81.7171 0.797851563
24.478 -81.7171 0.854551046
24.4796 -81.7176 0.0
24.4796 -81.7176 3.16256E-4
24.4796 -81.7176 3.27225E-4
24.4796 -81.7176 6.32511E-4
24.4796 -81.7176 9.48767E-4
24.4796 -81.7176 9.81675E-4
24.4796 -81.7176 0.001265022
24.4796 -81.7176 0.001581278
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24.4796 -81.7176 0.050719895
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24.4796 -81.7176 0.110274869
24.4796 -81.7176 0.807591623
24.4796 -81.7176 0.847881088
24.4796 -81.7142 0.0
24.4796 -81.7142 3.15657E-4
24.4796 -81.7142 9.4697E-4
24.4796 -81.7142 0.004103535
24.4796 -81.7142 0.007260101
24.4796 -81.7142 0.007891414
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24.4796 -81.7142 0.060606061
24.4796 -81.7142 0.099116162
24.4796 -81.7142 0.805871212
24.4798 -81.7158 0.0
24.4798 -81.7158 4.01123E-4
24.4798 -81.7158 8.02246E-4
24.4798 -81.7158 0.001604493
24.4798 -81.7158 0.005214601
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24.4798 -81.7158 0.045326915
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24.4798 -81.7158 0.841556358
24.4884 -81.6659 0.0
24.4884 -81.6659 2.94464E-4
24.4884 -81.6659 5.7971E-4
24.4884 -81.6659 8.69565E-4
24.4884 -81.6659 0.00115942
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24.4884 -81.6659 0.56632344
24.4884 -81.6659 0.629269729
24.4884 -81.6659 0.768985507
24.4917 -81.663565 0.0
24.4917 -81.663565 3.4002E-4
24.4917 -81.663565 6.46204E-4
24.4917 -81.663565 0.001360082
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24.4917 -81.663565 0.752504039
24.4977 -81.8056 0.0
24.4977 -81.8056 2.85225E-4
24.4977 -81.8056 3.12793E-4
24.4977 -81.8056 3.25627E-4
24.4977 -81.8056 5.70451E-4
24.4977 -81.8056 6.25586E-4
24.4977 -81.8056 9.7688E-4
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24.5036 -81.7677 0.0
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24.5209 -81.6621 0.0
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24.5452 -81.4071 0.0
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24.9553 -80.458 0.167557372
24.9553 -80.458 0.208425024
24.9553 -80.458 0.603269412
24.9562 -80.4571 0.0
24.9562 -80.4571 3.54233E-4
24.9562 -80.4571 7.35294E-4
24.9562 -80.4571 0.001062699
24.9562 -80.4571 0.002941176
24.9562 -80.4571 0.003188098
24.9562 -80.4571 0.003542331
24.9562 -80.4571 0.003676471
24.9562 -80.4571 0.004250797
24.9562 -80.4571 0.005667729
24.9562 -80.4571 0.016176471
24.9562 -80.4571 0.027205882
24.9562 -80.4571 0.028338647
24.9562 -80.4571 0.152941176
24.9562 -80.4571 0.170220588
24.9562 -80.4571 0.18136734
24.9562 -80.4571 0.200495926
24.9562 -80.4571 0.565710237
24.9562 -80.4571 0.626102941
24.9992 -80.4669 0.0
24.9992 -80.4669 3.91696E-4
24.9992 -80.4669 4.21763E-4
24.9992 -80.4669 8.43526E-4
24.9992 -80.4669 0.001566784
24.9992 -80.4669 0.001687052
24.9992 -80.4669 0.00195848
24.9992 -80.4669 0.002530578
24.9992 -80.4669 0.002741872
24.9992 -80.4669 0.002952341
24.9992 -80.4669 0.003133568
24.9992 -80.4669 0.003374104
24.9992 -80.4669 0.003795867
24.9992 -80.4669 0.005875441
24.9992 -80.4669 0.006748208
24.9992 -80.4669 0.009278785
24.9992 -80.4669 0.009400705
24.9992 -80.4669 0.011359185
24.9992 -80.4669 0.015667842
24.9992 -80.4669 0.020244623
24.9992 -80.4669 0.028593811
24.9992 -80.4669 0.040344693

In total, there are 1292 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 292 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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