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ERDDAP > tabledap > Subset ?

Dataset Title:  "CREMP - Dry Tortugas Revisited OBIS_Occurrence v2.2 - 2004" Subscribe RSS
Institution:  FWC-FWRI   (Dataset ID: dt_CREMP_Rev_OBIS_Occurrence_v2_2_2004)
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: 294)
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   8 options
    longitude ?  =  degrees_east   8 options
    organismQuantity ?  =  287 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)
Optional: Click on the map to select the closest data.
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
24.608 -82.944 0.0
24.608 -82.944 3.95257E-4
24.608 -82.944 4.10509E-4
24.608 -82.944 4.45434E-4
24.608 -82.944 4.91642E-4
24.608 -82.944 7.90514E-4
24.608 -82.944 8.90869E-4
24.608 -82.944 9.83284E-4
24.608 -82.944 0.001185771
24.608 -82.944 0.001336303
24.608 -82.944 0.001474926
24.608 -82.944 0.001581028
24.608 -82.944 0.001642036
24.608 -82.944 0.001781737
24.608 -82.944 0.001966568
24.608 -82.944 0.001976285
24.608 -82.944 0.002052545
24.608 -82.944 0.002371542
24.608 -82.944 0.002463054
24.608 -82.944 0.00311804
24.608 -82.944 0.003284072
24.608 -82.944 0.003441495
24.608 -82.944 0.003694581
24.608 -82.944 0.004008909
24.608 -82.944 0.005747126
24.608 -82.944 0.00623608
24.608 -82.944 0.007572383
24.608 -82.944 0.007866273
24.608 -82.944 0.008210181
24.608 -82.944 0.009441708
24.608 -82.944 0.016600791
24.608 -82.944 0.027504105
24.608 -82.944 0.036363636
24.608 -82.944 0.03830735
24.608 -82.944 0.042772861
24.608 -82.944 0.043756146
24.608 -82.944 0.04719764
24.608 -82.944 0.051724138
24.608 -82.944 0.06636971
24.608 -82.944 0.087351779
24.608 -82.944 0.206896552
24.608 -82.944 0.222529644
24.608 -82.944 0.256570156
24.608 -82.944 0.256637168
24.608 -82.944 0.587020649
24.608 -82.944 0.596436526
24.608 -82.944 0.623715415
24.608 -82.944 0.667487685
24.6117 -82.8702 0.0
24.6117 -82.8702 4.52284E-4
24.6117 -82.8702 4.84966E-4
24.6117 -82.8702 5.14933E-4
24.6117 -82.8702 5.2356E-4
24.6117 -82.8702 9.69932E-4
24.6117 -82.8702 0.001029866
24.6117 -82.8702 0.00104712
24.6117 -82.8702 0.001356852
24.6117 -82.8702 0.002059732
24.6117 -82.8702 0.002094241
24.6117 -82.8702 0.00226142
24.6117 -82.8702 0.002574665
24.6117 -82.8702 0.002617801
24.6117 -82.8702 0.003089598
24.6117 -82.8702 0.003141361
24.6117 -82.8702 0.003394762
24.6117 -82.8702 0.003604531
24.6117 -82.8702 0.003618272
24.6117 -82.8702 0.003664921
24.6117 -82.8702 0.003879728
24.6117 -82.8702 0.004188482
24.6117 -82.8702 0.004364694
24.6117 -82.8702 0.004712042
24.6117 -82.8702 0.005149331
24.6117 -82.8702 0.005664264
24.6117 -82.8702 0.005879692
24.6117 -82.8702 0.006806283
24.6117 -82.8702 0.007329843
24.6117 -82.8702 0.008141113
24.6117 -82.8702 0.008244423
24.6117 -82.8702 0.009268795
24.6117 -82.8702 0.010184287
24.6117 -82.8702 0.010402533
24.6117 -82.8702 0.012124151
24.6117 -82.8702 0.013568521
24.6117 -82.8702 0.017639077
24.6117 -82.8702 0.02125735
24.6117 -82.8702 0.024248303
24.6117 -82.8702 0.02460733
24.6117 -82.8702 0.027225131
24.6117 -82.8702 0.039800995
24.6117 -82.8702 0.07129001
24.6117 -82.8702 0.078269825
24.6117 -82.8702 0.080104712
24.6117 -82.8702 0.122039135
24.6117 -82.8702 0.126701571
24.6117 -82.8702 0.155585708
24.6117 -82.8702 0.16828322
24.6117 -82.8702 0.690591659
24.6117 -82.8702 0.704712042
24.6117 -82.8702 0.719583899
24.6117 -82.8702 0.765705458
24.6206 -82.8696 0.0
24.6206 -82.8696 4.89237E-4
24.6206 -82.8696 5.23286E-4
24.6206 -82.8696 6.28931E-4
24.6206 -82.8696 9.78474E-4
24.6206 -82.8696 0.001046572
24.6206 -82.8696 0.001569859
24.6206 -82.8696 0.001886792
24.6206 -82.8696 0.001956947
24.6206 -82.8696 0.002616431
24.6206 -82.8696 0.003139717
24.6206 -82.8696 0.004402516
24.6206 -82.8696 0.004892368
24.6206 -82.8696 0.008805031
24.6206 -82.8696 0.008806262
24.6206 -82.8696 0.013605442
24.6206 -82.8696 0.022994129
24.6206 -82.8696 0.026418787
24.6206 -82.8696 0.028864971
24.6206 -82.8696 0.03610675
24.6206 -82.8696 0.047798742
24.6206 -82.8696 0.048923679
24.6206 -82.8696 0.06163522
24.6206 -82.8696 0.068550497
24.6206 -82.8696 0.149056604
24.6206 -82.8696 0.178440607
24.6206 -82.8696 0.690737834
24.6206 -82.8696 0.725786164
24.6206 -82.8696 0.849315068
24.6207 -82.8673 0.0
24.6207 -82.8673 4.84027E-4
24.6207 -82.8673 5.43183E-4
24.6207 -82.8673 9.68054E-4
24.6207 -82.8673 0.001452081
24.6207 -82.8673 0.001936108
24.6207 -82.8673 0.002420136
24.6207 -82.8673 0.002715915
24.6207 -82.8673 0.002904163
24.6207 -82.8673 0.003259098
24.6207 -82.8673 0.003872217
24.6207 -82.8673 0.004356244
24.6207 -82.8673 0.035850081
24.6207 -82.8673 0.03678606
24.6207 -82.8673 0.042911461
24.6207 -82.8673 0.059535334
24.6207 -82.8673 0.059750136
24.6207 -82.8673 0.851167844
24.6207 -82.8673 0.880445305
24.6414 -82.8962 0.0
24.6414 -82.8962 4.57247E-4
24.6414 -82.8962 4.75964E-4
24.6414 -82.8962 4.76644E-4
24.6414 -82.8962 9.14495E-4
24.6414 -82.8962 9.53289E-4
24.6414 -82.8962 0.001371742
24.6414 -82.8962 0.001427891
24.6414 -82.8962 0.001828989
24.6414 -82.8962 0.002286237
24.6414 -82.8962 0.002379819
24.6414 -82.8962 0.003657979
24.6414 -82.8962 0.003813155
24.6414 -82.8962 0.0042898
24.6414 -82.8962 0.004766444
24.6414 -82.8962 0.007149666
24.6414 -82.8962 0.008091385
24.6414 -82.8962 0.010962822
24.6414 -82.8962 0.015546411
24.6414 -82.8962 0.02049571
24.6414 -82.8962 0.023322228
24.6414 -82.8962 0.0521262
24.6414 -82.8962 0.128986197
24.6414 -82.8962 0.834840552
24.6414 -82.8962 0.9218107
24.6414 -82.8962 0.931839847
24.6423 -82.8971 0.0
24.6423 -82.8971 4.75737E-4
24.6423 -82.8971 9.51475E-4
24.6423 -82.8971 0.001427212
24.6423 -82.8971 0.00190295
24.6423 -82.8971 0.002854424
24.6423 -82.8971 0.004281637
24.6423 -82.8971 0.005708849
24.6423 -82.8971 0.009990485
24.6423 -82.8971 0.066127498
24.6423 -82.8971 0.119410086
24.6423 -82.8971 0.785918173
24.6431 -82.9307 0.0
24.6431 -82.9307 5.00501E-4
24.6431 -82.9307 5.03778E-4
24.6431 -82.9307 5.27704E-4
24.6431 -82.9307 0.001001001
24.6431 -82.9307 0.00100553
24.6431 -82.9307 0.001007557
24.6431 -82.9307 0.001055409
24.6431 -82.9307 0.001501502
24.6431 -82.9307 0.001508296
24.6431 -82.9307 0.001511335
24.6431 -82.9307 0.001583113
24.6431 -82.9307 0.002011061
24.6431 -82.9307 0.002110818
24.6431 -82.9307 0.003003003
24.6431 -82.9307 0.003526448
24.6431 -82.9307 0.004004004
24.6431 -82.9307 0.004504505
24.6431 -82.9307 0.005005005
24.6431 -82.9307 0.006033183
24.6431 -82.9307 0.006549118
24.6431 -82.9307 0.007387863
24.6431 -82.9307 0.00906801
24.6431 -82.9307 0.00950951
24.6431 -82.9307 0.01055409
24.6431 -82.9307 0.011011011
24.6431 -82.9307 0.011083123
24.6431 -82.9307 0.0115636
24.6431 -82.9307 0.011609499
24.6431 -82.9307 0.019019019
24.6431 -82.9307 0.019105078
24.6431 -82.9307 0.020580475
24.6431 -82.9307 0.036536537
24.6431 -82.9307 0.084634761
24.6431 -82.9307 0.088588589
24.6431 -82.9307 0.110608346
24.6431 -82.9307 0.1176781
24.6431 -82.9307 0.120620621
24.6431 -82.9307 0.121914358
24.6431 -82.9307 0.134564644
24.6431 -82.9307 0.148315737
24.6431 -82.9307 0.160201511
24.6431 -82.9307 0.19525066
24.6431 -82.9307 0.293112117
24.6431 -82.9307 0.405228758
24.6431 -82.9307 0.496569921
24.6431 -82.9307 0.598992443
24.6431 -82.9307 0.692692693
24.6993 -83.0022 0.0
24.6993 -83.0022 5.36481E-4
24.6993 -83.0022 5.55556E-4
24.6993 -83.0022 5.67537E-4
24.6993 -83.0022 6.19963E-4
24.6993 -83.0022 0.001072961
24.6993 -83.0022 0.001111111
24.6993 -83.0022 0.001239926
24.6993 -83.0022 0.001609442
24.6993 -83.0022 0.001666667
24.6993 -83.0022 0.001702611
24.6993 -83.0022 0.001859888
24.6993 -83.0022 0.002145923
24.6993 -83.0022 0.002222222
24.6993 -83.0022 0.002682403
24.6993 -83.0022 0.002837684
24.6993 -83.0022 0.003218884
24.6993 -83.0022 0.003333333
24.6993 -83.0022 0.003719777
24.6993 -83.0022 0.004291845
24.6993 -83.0022 0.004444444
24.6993 -83.0022 0.004540295
24.6993 -83.0022 0.005
24.6993 -83.0022 0.006666667
24.6993 -83.0022 0.006810443
24.6993 -83.0022 0.006819591
24.6993 -83.0022 0.00737798
24.6993 -83.0022 0.007439554
24.6993 -83.0022 0.008583691
24.6993 -83.0022 0.009444444
24.6993 -83.0022 0.011779293
24.6993 -83.0022 0.015021459
24.6993 -83.0022 0.01555794
24.6993 -83.0022 0.01983881
24.6993 -83.0022 0.021566402
24.6993 -83.0022 0.027278363
24.6993 -83.0022 0.03
24.6993 -83.0022 0.032777778
24.6993 -83.0022 0.037457435
24.6993 -83.0022 0.037777778
24.6993 -83.0022 0.051456913
24.6993 -83.0022 0.052575107
24.6993 -83.0022 0.060555556
24.6993 -83.0022 0.072777778
24.6993 -83.0022 0.075107296
24.6993 -83.0022 0.076049943
24.6993 -83.0022 0.083075015
24.6993 -83.0022 0.083690987
24.6993 -83.0022 0.087222222
24.6993 -83.0022 0.110669694
24.6993 -83.0022 0.114074915
24.6993 -83.0022 0.121452894
24.6993 -83.0022 0.122752635
24.6993 -83.0022 0.280223187
24.6993 -83.0022 0.28111588
24.6993 -83.0022 0.378177309
24.6993 -83.0022 0.452253219
24.6993 -83.0022 0.479001135
24.6993 -83.0022 0.642777778

In total, there are 294 rows of distinct combinations of the variables listed above. All of the rows are shown above.
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.


 
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