ERDDAP > tabledap > Subset

Dataset Title:	"CREMP - Dry Tortugas Revisited OBIS_Occurrence v2.2 - 2003"
Institution:	FWC-FWRI   (Dataset ID: dt_CREMP_Rev_OBIS_Occurrence_v2_2_2003)
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: 153)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

latitude	= (ANY) 24.6117 24.6414 24.6423 24.6993  degrees_north	4 options
longitude	= (ANY) -83.0022 -82.8971 -82.8962 -82.8702  degrees_east	4 options
organismQuantity	= (ANY) 0.0 4.4287E-4 4.49035E-4 4.49438E-4 4.63822E-4 4.90677E-4 5.36769E-4 5.71102E-4 6.06428E-4 6.07165E-4 8.8574E-4 8.98069E-4 8.98876E-4 9.27644E-4 9.81354E-4 0.001038961 0.001073537 0.001142204 0.001212856 0.001214329 0.001328609 0.001347104 0.001391466 0.001472031 0.001558442 0.001610306 0.001713307 0.001725626 0.001819284 0.001855288 0.00193299 0.001962709 0.002147075 0.002245173 0.002319109 0.002588438 0.002696629 0.003035823 0.003116883 0.003221649 0.003426613 0.003451251 0.003638569 0.003642987 0.003757381 0.003925417 0.004155844 0.004314064 0.004416094 0.004494382 0.004510309 0.004568818 0.004675325 0.004851425 0.00494382 0.00513992 0.005176877 0.005388415 0.005393258 0.005714286 0.005798969 0.005904455 0.006441224 0.006902502 0.006957328 0.007633588 0.007765315 0.007792208 0.007850834 0.007883566 0.007971656 0.008628128 0.008832188 0.008988764 0.009276438 0.009350649 0.010198604 0.01027984 0.010309278 0.010667904 0.011216566 0.011776251 0.013419216 0.013450835 0.014667817 0.016108247 0.016639828 0.017607772 0.017961383 0.019486271 0.019844694 0.01986044 0.020871985 0.02125775 0.021701885 0.022272987 0.02404318 0.025500911 0.026270702 0.027968597 0.028293135 0.028764045 0.030927835 0.034566404 0.039948454 0.043116883 0.043135436 0.046501329 0.048573163 0.049628942 0.054254712 0.060036386 0.06056701 0.067299396 0.067919951 0.075073602 0.078241005 0.078368223 0.07893139 0.080898876 0.088831169 0.101656196 0.115979381 0.1206792 0.126290225 0.127076785 0.134192163 0.144818423 0.148195876 0.154768704 0.157064888 0.165120594 0.18961039 0.197575213 0.205349439 0.250337079 0.271907216 0.309653916 0.31056701 0.377656345 0.501998858 0.505761067 0.608988764 0.628571429 0.635893011 0.638527167 0.641465677 0.702093398 0.750221435 0.824828263	150 options

View:      Map of Distinct Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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Map of Distinct Data   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.

 

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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.
 

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Distinct Data   (Metadata)    (Refine the data subset and/or download the data)  

latitude	longitude	organismQuantity
degrees_north	degrees_east
24.6117	-82.8702	0.0
24.6117	-82.8702	4.63822E-4
24.6117	-82.8702	5.36769E-4
24.6117	-82.8702	9.27644E-4
24.6117	-82.8702	0.001038961
24.6117	-82.8702	0.001073537
24.6117	-82.8702	0.001391466
24.6117	-82.8702	0.001558442
24.6117	-82.8702	0.001610306
24.6117	-82.8702	0.001725626
24.6117	-82.8702	0.001855288
24.6117	-82.8702	0.002147075
24.6117	-82.8702	0.002319109
24.6117	-82.8702	0.002588438
24.6117	-82.8702	0.003116883
24.6117	-82.8702	0.003451251
24.6117	-82.8702	0.003757381
24.6117	-82.8702	0.004155844
24.6117	-82.8702	0.004314064
24.6117	-82.8702	0.004675325
24.6117	-82.8702	0.005176877
24.6117	-82.8702	0.005714286
24.6117	-82.8702	0.005904455
24.6117	-82.8702	0.006441224
24.6117	-82.8702	0.006902502
24.6117	-82.8702	0.006957328
24.6117	-82.8702	0.007765315
24.6117	-82.8702	0.007792208
24.6117	-82.8702	0.008628128
24.6117	-82.8702	0.009276438
24.6117	-82.8702	0.009350649
24.6117	-82.8702	0.010198604
24.6117	-82.8702	0.010667904
24.6117	-82.8702	0.011216566
24.6117	-82.8702	0.013419216
24.6117	-82.8702	0.013450835
24.6117	-82.8702	0.014667817
24.6117	-82.8702	0.016639828
24.6117	-82.8702	0.019844694
24.6117	-82.8702	0.01986044
24.6117	-82.8702	0.020871985
24.6117	-82.8702	0.028293135
24.6117	-82.8702	0.043116883
24.6117	-82.8702	0.043135436
24.6117	-82.8702	0.049628942
24.6117	-82.8702	0.067299396
24.6117	-82.8702	0.078368223
24.6117	-82.8702	0.088831169
24.6117	-82.8702	0.134192163
24.6117	-82.8702	0.165120594
24.6117	-82.8702	0.18961039
24.6117	-82.8702	0.205349439
24.6117	-82.8702	0.628571429
24.6117	-82.8702	0.635893011
24.6117	-82.8702	0.641465677
24.6117	-82.8702	0.702093398
24.6414	-82.8962	0.0
24.6414	-82.8962	4.4287E-4
24.6414	-82.8962	4.49438E-4
24.6414	-82.8962	4.90677E-4
24.6414	-82.8962	8.8574E-4
24.6414	-82.8962	8.98876E-4
24.6414	-82.8962	9.81354E-4
24.6414	-82.8962	0.001328609
24.6414	-82.8962	0.001472031
24.6414	-82.8962	0.001962709
24.6414	-82.8962	0.002696629
24.6414	-82.8962	0.003925417
24.6414	-82.8962	0.004416094
24.6414	-82.8962	0.004494382
24.6414	-82.8962	0.00494382
24.6414	-82.8962	0.005393258
24.6414	-82.8962	0.007850834
24.6414	-82.8962	0.007971656
24.6414	-82.8962	0.008832188
24.6414	-82.8962	0.008988764
24.6414	-82.8962	0.011776251
24.6414	-82.8962	0.019486271
24.6414	-82.8962	0.02125775
24.6414	-82.8962	0.02404318
24.6414	-82.8962	0.027968597
24.6414	-82.8962	0.028764045
24.6414	-82.8962	0.046501329
24.6414	-82.8962	0.075073602
24.6414	-82.8962	0.080898876
24.6414	-82.8962	0.144818423
24.6414	-82.8962	0.250337079
24.6414	-82.8962	0.608988764
24.6414	-82.8962	0.750221435
24.6414	-82.8962	0.824828263
24.6423	-82.8971	0.0
24.6423	-82.8971	4.49035E-4
24.6423	-82.8971	8.98069E-4
24.6423	-82.8971	0.001347104
24.6423	-82.8971	0.002245173
24.6423	-82.8971	0.005388415
24.6423	-82.8971	0.007633588
24.6423	-82.8971	0.017961383
24.6423	-82.8971	0.127076785
24.6423	-82.8971	0.197575213
24.6423	-82.8971	0.638527167
24.6993	-83.0022	0.0
24.6993	-83.0022	5.71102E-4
24.6993	-83.0022	6.06428E-4
24.6993	-83.0022	6.07165E-4
24.6993	-83.0022	0.001142204
24.6993	-83.0022	0.001212856
24.6993	-83.0022	0.001214329
24.6993	-83.0022	0.001713307
24.6993	-83.0022	0.001819284
24.6993	-83.0022	0.00193299
24.6993	-83.0022	0.003035823
24.6993	-83.0022	0.003221649
24.6993	-83.0022	0.003426613
24.6993	-83.0022	0.003638569
24.6993	-83.0022	0.003642987
24.6993	-83.0022	0.004510309
24.6993	-83.0022	0.004568818
24.6993	-83.0022	0.004851425
24.6993	-83.0022	0.00513992
24.6993	-83.0022	0.005798969
24.6993	-83.0022	0.007883566
24.6993	-83.0022	0.01027984
24.6993	-83.0022	0.010309278
24.6993	-83.0022	0.016108247
24.6993	-83.0022	0.017607772
24.6993	-83.0022	0.021701885
24.6993	-83.0022	0.022272987
24.6993	-83.0022	0.025500911
24.6993	-83.0022	0.026270702
24.6993	-83.0022	0.030927835
24.6993	-83.0022	0.034566404
24.6993	-83.0022	0.039948454
24.6993	-83.0022	0.048573163
24.6993	-83.0022	0.054254712
24.6993	-83.0022	0.060036386
24.6993	-83.0022	0.06056701
24.6993	-83.0022	0.067919951
24.6993	-83.0022	0.078241005
24.6993	-83.0022	0.07893139
24.6993	-83.0022	0.101656196
24.6993	-83.0022	0.115979381
24.6993	-83.0022	0.1206792
24.6993	-83.0022	0.126290225
24.6993	-83.0022	0.148195876
24.6993	-83.0022	0.154768704
24.6993	-83.0022	0.157064888
24.6993	-83.0022	0.271907216
24.6993	-83.0022	0.309653916
24.6993	-83.0022	0.31056701
24.6993	-83.0022	0.377656345
24.6993	-83.0022	0.501998858
24.6993	-83.0022	0.505761067

In total, there are 153 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.
 

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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.
 

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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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