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ERDDAP > tabledap > Subset ?

Dataset Title:  "CREMP - Florida Keys Revisited OBIS_Occurrence v2.2 - 2005" Subscribe RSS
Institution:  FWC-FWRI   (Dataset ID: fk_CREMP_Rev_OBIS_Occurrence_v2_2_2005)
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: 1089)
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   48 options
    longitude ?  =  degrees_east   51 options
    organismQuantity ?  =  1025 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 4.75285E-4
24.4517 -81.8798 5.0E-4
24.4517 -81.8798 9.5057E-4
24.4517 -81.8798 9.79912E-4
24.4517 -81.8798 0.001
24.4517 -81.8798 0.001425856
24.4517 -81.8798 0.001959824
24.4517 -81.8798 0.0025
24.4517 -81.8798 0.003
24.4517 -81.8798 0.003429691
24.4517 -81.8798 0.003919647
24.4517 -81.8798 0.004409603
24.4517 -81.8798 0.0045
24.4517 -81.8798 0.006178707
24.4517 -81.8798 0.008
24.4517 -81.8798 0.009
24.4517 -81.8798 0.009799118
24.4517 -81.8798 0.014698677
24.4517 -81.8798 0.015
24.4517 -81.8798 0.020578148
24.4517 -81.8798 0.02661597
24.4517 -81.8798 0.029
24.4517 -81.8798 0.034695817
24.4517 -81.8798 0.09
24.4517 -81.8798 0.09648289
24.4517 -81.8798 0.134247918
24.4517 -81.8798 0.80499755
24.4517 -81.8798 0.825570342
24.4517 -81.8798 0.837
24.452 -81.8775 0.0
24.452 -81.8775 5.13347E-4
24.452 -81.8775 5.51876E-4
24.452 -81.8775 0.001026694
24.452 -81.8775 0.001103753
24.452 -81.8775 0.001472031
24.452 -81.8775 0.001655629
24.452 -81.8775 0.002053388
24.452 -81.8775 0.002453386
24.452 -81.8775 0.002566735
24.452 -81.8775 0.002759382
24.452 -81.8775 0.002944063
24.452 -81.8775 0.003080082
24.452 -81.8775 0.003311258
24.452 -81.8775 0.004106776
24.452 -81.8775 0.004416094
24.452 -81.8775 0.005397448
24.452 -81.8775 0.007174393
24.452 -81.8775 0.007186858
24.452 -81.8775 0.007360157
24.452 -81.8775 0.009813543
24.452 -81.8775 0.010794897
24.452 -81.8775 0.011776251
24.452 -81.8775 0.012320329
24.452 -81.8775 0.013245033
24.452 -81.8775 0.015452539
24.452 -81.8775 0.021560575
24.452 -81.8775 0.035320088
24.452 -81.8775 0.055937193
24.452 -81.8775 0.884690873
24.452 -81.8775 0.918322296
24.452 -81.8775 0.938398357
24.4532 -81.8568 0.0
24.4532 -81.8568 5.22739E-4
24.4532 -81.8568 0.001045478
24.4532 -81.8568 0.001375516
24.4532 -81.8568 0.001568217
24.4532 -81.8568 0.002090957
24.4532 -81.8568 0.003136435
24.4532 -81.8568 0.003668042
24.4532 -81.8568 0.004126547
24.4532 -81.8568 0.004585053
24.4532 -81.8568 0.004704652
24.4532 -81.8568 0.006419074
24.4532 -81.8568 0.009409305
24.4532 -81.8568 0.013591218
24.4532 -81.8568 0.0174232
24.4532 -81.8568 0.020632737
24.4532 -81.8568 0.031364349
24.4532 -81.8568 0.121798223
24.4532 -81.8568 0.124254929
24.4532 -81.8568 0.802927339
24.4532 -81.8568 0.810178817
24.4545 -81.8589 0.0
24.4545 -81.8589 4.5977E-4
24.4545 -81.8589 4.69263E-4
24.4545 -81.8589 5.03271E-4
24.4545 -81.8589 9.1954E-4
24.4545 -81.8589 9.38527E-4
24.4545 -81.8589 0.001006543
24.4545 -81.8589 0.00137931
24.4545 -81.8589 0.00183908
24.4545 -81.8589 0.001877053
24.4545 -81.8589 0.00281558
24.4545 -81.8589 0.00402617
24.4545 -81.8589 0.004137931
24.4545 -81.8589 0.005535984
24.4545 -81.8589 0.006542526
24.4545 -81.8589 0.009854528
24.4545 -81.8589 0.010323792
24.4545 -81.8589 0.028045977
24.4545 -81.8589 0.030196276
24.4545 -81.8589 0.045797685
24.4545 -81.8589 0.046926326
24.4545 -81.8589 0.059770115
24.4545 -81.8589 0.066431807
24.4545 -81.8589 0.836436839
24.4545 -81.8589 0.901609195
24.4545 -81.8589 0.926794932
24.4548 -81.857 0.0
24.4548 -81.857 4.78011E-4
24.4548 -81.857 9.56023E-4
24.4548 -81.857 0.002390057
24.4548 -81.857 0.002868069
24.4548 -81.857 0.032982792
24.4548 -81.857 0.034894837
24.4548 -81.857 0.058795411
24.4548 -81.857 0.864722753
24.478 -81.7171 0.0
24.478 -81.7171 5.00751E-4
24.478 -81.7171 5.47945E-4
24.478 -81.7171 0.001001502
24.478 -81.7171 0.00109589
24.478 -81.7171 0.001502253
24.478 -81.7171 0.001643836
24.478 -81.7171 0.002503756
24.478 -81.7171 0.003287671
24.478 -81.7171 0.003505258
24.478 -81.7171 0.007010516
24.478 -81.7171 0.013150685
24.478 -81.7171 0.014246575
24.478 -81.7171 0.014794521
24.478 -81.7171 0.017526289
24.478 -81.7171 0.032876712
24.478 -81.7171 0.035052579
24.478 -81.7171 0.045568353
24.478 -81.7171 0.883825739
24.478 -81.7171 0.916712329
24.4796 -81.7176 0.0
24.4796 -81.7176 4.79846E-4
24.4796 -81.7176 4.89956E-4
24.4796 -81.7176 9.59693E-4
24.4796 -81.7176 0.001439539
24.4796 -81.7176 0.001469868
24.4796 -81.7176 0.003919647
24.4796 -81.7176 0.009117083
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24.4796 -81.7176 0.025477707
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24.4796 -81.7176 0.053742802
24.4796 -81.7176 0.897792706
24.4796 -81.7176 0.913767761
24.4796 -81.7142 0.0
24.4796 -81.7142 4.83092E-4
24.4796 -81.7142 0.001449275
24.4796 -81.7142 0.003381643
24.4796 -81.7142 0.007246377
24.4796 -81.7142 0.011594203
24.4796 -81.7142 0.058454106
24.4796 -81.7142 0.914009662
24.4798 -81.7158 0.0
24.4798 -81.7158 0.001105583
24.4798 -81.7158 0.002763958
24.4798 -81.7158 0.00331675
24.4798 -81.7158 0.006080708
24.4798 -81.7158 0.009950249
24.4798 -81.7158 0.026533997
24.4798 -81.7158 0.028192371
24.4798 -81.7158 0.033720287
24.4798 -81.7158 0.043670536
24.4798 -81.7158 0.839690437
24.4884 -81.6659 0.0
24.4884 -81.6659 5.09165E-4
24.4884 -81.6659 5.15198E-4
24.4884 -81.6659 5.17063E-4
24.4884 -81.6659 0.00101833
24.4884 -81.6659 0.001030397
24.4884 -81.6659 0.001034126
24.4884 -81.6659 0.001527495
24.4884 -81.6659 0.002068252
24.4884 -81.6659 0.002545825
24.4884 -81.6659 0.002575992
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24.4884 -81.6659 0.004636785
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24.4884 -81.6659 0.010303967
24.4884 -81.6659 0.010819165
24.4884 -81.6659 0.011375388
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24.4884 -81.6659 0.017820774
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24.4884 -81.6659 0.115404431
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24.4884 -81.6659 0.614116435
24.4884 -81.6659 0.743536711
24.4884 -81.6659 0.752545825
24.4917 -81.663565 0.0
24.4917 -81.663565 4.64684E-4
24.4917 -81.663565 4.914E-4
24.4917 -81.663565 8.84564E-4
24.4917 -81.663565 9.29368E-4
24.4917 -81.663565 0.001394052
24.4917 -81.663565 0.001858736
24.4917 -81.663565 0.002457002
24.4917 -81.663565 0.003095975
24.4917 -81.663565 0.00464684
24.4917 -81.663565 0.011793612
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24.4917 -81.663565 0.014405204
24.4917 -81.663565 0.016364441
24.4917 -81.663565 0.021671827
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24.4917 -81.663565 0.031133829
24.4917 -81.663565 0.035315985
24.4917 -81.663565 0.04029484
24.4917 -81.663565 0.045555064
24.4917 -81.663565 0.05012285
24.4917 -81.663565 0.130915524
24.4917 -81.663565 0.781512605
24.4917 -81.663565 0.878624079
24.4917 -81.663565 0.884758364
24.4977 -81.8056 0.0
24.4977 -81.8056 4.85201E-4
24.4977 -81.8056 4.98008E-4
24.4977 -81.8056 5.47645E-4
24.4977 -81.8056 9.70403E-4
24.4977 -81.8056 9.96016E-4
24.4977 -81.8056 0.00109529
24.4977 -81.8056 0.001455604
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24.4977 -81.8056 0.00339641
24.4977 -81.8056 0.004852014
24.4977 -81.8056 0.00498008
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24.4977 -81.8056 0.005478088
24.4977 -81.8056 0.007763222
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24.4977 -81.8056 0.010189229
24.4977 -81.8056 0.010458167
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24.4977 -81.8056 0.019920319
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24.5036 -81.7677 0.0
24.5036 -81.7677 5.02513E-4
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24.5421 -81.4153 0.0
24.5421 -81.4153 4.91159E-4
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24.5426 -81.4128 0.0
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24.5452 -81.4071 0.0
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24.5857 -81.5826 0.0
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25.1075 -80.3069 4.89716E-4
25.1075 -80.3069 9.79432E-4
25.1075 -80.3069 0.001469148
25.1075 -80.3069 0.00243309
25.1075 -80.3069 0.003406326
25.1075 -80.3069 0.003428012
25.1075 -80.3069 0.004407444
25.1075 -80.3069 0.00489716
25.1075 -80.3069 0.005386876
25.1075 -80.3069 0.006326034
25.1075 -80.3069 0.006812652
25.1075 -80.3069 0.012652068
25.1075 -80.3069 0.015085158
25.1075 -80.3069 0.019098923
25.1075 -80.3069 0.021411192
25.1075 -80.3069 0.038197845
25.1075 -80.3069 0.041625857
25.1075 -80.3069 0.072019465
25.1075 -80.3069 0.094403893
25.1075 -80.3069 0.168952008
25.1075 -80.3069 0.35377129
25.1075 -80.3069 0.410218978
25.1075 -80.3069 0.710577865
25.1075 -80.3068 0.0
25.1075 -80.3068 5.06842E-4
25.1075 -80.3068 0.001419782
25.1075 -80.3068 0.001520527
25.1075 -80.3068 0.003312825
25.1075 -80.3068 0.004054739
25.1075 -80.3068 0.006588951
25.1075 -80.3068 0.007572172
25.1075 -80.3068 0.009465215
25.1075 -80.3068 0.029396858
25.1075 -80.3068 0.042593469
25.1075 -80.3068 0.064836725
25.1075 -80.3068 0.085149518
25.1075 -80.3068 0.20729853

In total, there are 1089 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 89 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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