ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - 00596228.bdo.nc - 23.11N, -84.68W - 1970-04-10"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00596228_bdo)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 24)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

depth	= (ANY) 0.0 49.0 79.0 89.0 98.0 118.0 138.0 157.0 177.0 197.0 227.0 257.0 297.0 346.0 396.0 446.0 496.0 546.0 566.0 664.0 762.0 936.0 1086.0 1136.0  m	24 options
temperature	= (ANY) 4.619999885559082 4.849999904632568 5.400000095367432 6.659999847412109 7.900000095367432 9.9399995803833 10.520000457763672 11.15999984741211 12.319999694824219 13.800000190734863 15.0600004196167 16.8799991607666 18.110000610351562 19.309999465942383 20.540000915527344 21.549999237060547 22.420000076293945 24.299999237060547 25.34000015258789 25.799999237060547 25.81999969482422 25.84000015258789  degree_C	22 options
salinity	= (ANY) 34.88100051879883 34.904998779296875 34.9370002746582 34.94900131225586 34.95000076293945 35.17399978637695 35.25899887084961 35.354000091552734 35.51900100708008 35.74599838256836 35.8849983215332 35.88600158691406 35.88800048828125 35.88999938964844 35.97700119018555 36.22200012207031 36.24300003051758 36.45899963378906 36.529998779296875 36.55699920654297 36.56800079345703 36.650001525878906 36.70000076293945  PSU	23 options
oxygen	= (ANY) 2.7799999713897705 2.799999952316284 3.0 3.0199999809265137 3.140000104904175 3.2699999809265137 3.3299999237060547 3.4000000953674316 3.4200000762939453 3.490000009536743 3.5299999713897705 3.6500000953674316 3.7799999713897705 3.869999885559082 3.9800000190734863 4.28000020980835 4.300000190734863 4.329999923706055 4.460000038146973 4.570000171661377 4.619999885559082 4.679999828338623 4.699999809265137  milliliters per liter	23 options
nitrite	= (ANY)  not-measured	1 option:
nitrate	= (ANY)  not-measured	1 option:
phosphate	= (ANY)  not-measured	1 option:
silicate	= (ANY) 1.0 2.0 4.0 5.0 7.0 9.0 11.0 13.0 14.0 19.0 22.0 24.0  micromols	12 options
salinity2	= (ANY)  PSU	1 option:
qualityFlag	= (ANY) 0.0	1 option: 0.0

View:      Map of All Related 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 All Related Data   (Refine the map and/or download the image)

To view the map, check View : Map of All 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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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)  

depth	temperature	salinity	oxygen	nitrite	nitrate	phosphate	silicate	salinity2	qualityFlag
m	degree_C	PSU	milliliters per liter	not-measured	not-measured	not-measured	micromols	PSU
0.0	25.84000015258789	35.88600158691406	4.699999809265137				1.0		0.0
49.0	25.84000015258789	35.8849983215332	4.679999828338623				1.0		0.0
79.0	25.799999237060547	35.88600158691406	4.699999809265137				1.0		0.0
89.0	25.81999969482422	35.88999938964844	4.570000171661377				1.0		0.0
98.0	25.799999237060547	35.88800048828125	4.619999885559082				1.0		0.0
118.0	25.34000015258789	36.22200012207031	4.329999923706055				1.0		0.0
138.0	24.299999237060547	36.55699920654297	3.869999885559082				1.0		0.0
157.0	22.420000076293945	36.529998779296875	4.28000020980835				1.0		0.0
177.0	21.549999237060547	36.650001525878906	3.9800000190734863				2.0		0.0
197.0	20.540000915527344	36.70000076293945	3.5299999713897705				2.0		0.0
227.0	19.309999465942383	36.56800079345703	3.4000000953674316				2.0		0.0
257.0	18.110000610351562	36.45899963378906	3.7799999713897705				2.0		0.0
297.0	16.8799991607666	36.24300003051758	3.4200000762939453				4.0		0.0
346.0	15.0600004196167	35.97700119018555	3.490000009536743				5.0		0.0
396.0	13.800000190734863	35.74599838256836	3.3299999237060547				7.0		0.0
446.0	12.319999694824219	35.51900100708008	3.0				9.0		0.0
496.0	11.15999984741211	35.354000091552734	3.140000104904175				11.0		0.0
546.0	10.520000457763672	35.25899887084961	2.7799999713897705				13.0		0.0
566.0	9.9399995803833	35.17399978637695	3.0199999809265137				14.0		0.0
664.0	7.900000095367432	34.94900131225586	2.799999952316284				19.0		0.0
762.0	6.659999847412109	34.88100051879883	3.2699999809265137				22.0		0.0
936.0	5.400000095367432	34.904998779296875	3.6500000953674316				24.0		0.0
1086.0	4.849999904632568	34.9370002746582	4.300000190734863				24.0		0.0
1136.0	4.619999885559082	34.95000076293945	4.460000038146973				24.0		0.0

In total, there are 24 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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