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Dataset Title:  "Deepwater CTD - 94g0707b.bdo.nc - 25.99N, -90.6W - 1994-00-18" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0707b_bdo)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | 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 ?  =  m   24 options
    temperature ?  =  degree_C   24 options
    salinity ?  =  PSU   23 options
    oxygen ?  =  milliliters per liter   24 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   24 options
    phosphate ?  =  micromols per liter   22 options
    silicate ?  =  micromols per liter   20 options
    salinity2 ?  =  PSU   1 option:
    qualityFlag ?  =  1 option: 0.0

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
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.
 


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)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
125.0 17.666000366210938 36.34000015258789 2.765000104904175 0.03999999910593033 14.100000381469727 0.7200000286102295 5.0 0.0
150.0 16.415000915527344 36.17599868774414 2.7990000247955322 0.03999999910593033 15.899999618530273 0.8199999928474426 5.5 0.0
175.0 15.824999809265137 36.08599853515625 2.7799999713897705 0.03999999910593033 16.799999237060547 0.8799999952316284 6.0 0.0
201.0 14.70199966430664 35.92100143432617 2.7690000534057617 0.029999999329447746 18.5 0.9900000095367432 7.099999904632568 0.0
225.0 13.890000343322754 35.78900146484375 2.9149999618530273 0.029999999329447746 19.600000381469727 1.0800000429153442 7.900000095367432 0.0
301.0 11.798999786376953 35.472999572753906 2.5899999141693115 0.029999999329447746 24.399999618530273 1.3899999856948853 11.399999618530273 0.0
350.0 10.8100004196167 35.33100128173828 2.5799999237060547 0.03999999910593033 26.299999237060547 1.5199999809265137 13.300000190734863 0.0
400.0 9.79699993133545 35.189998626708984 2.625 0.03999999910593033 27.899999618530273 1.6799999475479126 15.300000190734863 0.0
450.0 9.057000160217285 35.099998474121094 2.5929999351501465 0.05000000074505806 29.299999237060547 1.7300000190734863 17.0 0.0
501.0 8.22700023651123 35.0099983215332 2.674999952316284 0.05000000074505806 30.299999237060547 1.840000033378601 19.100000381469727 0.0
550.0 7.642000198364258 34.95199966430664 2.8329999446868896 0.05000000074505806 30.799999237060547 1.8600000143051147 20.700000762939453 0.0
600.0 7.072000026702881 34.917999267578125 2.9549999237060547 0.05000000074505806 31.0 1.8899999856948853 22.200000762939453 0.0
650.0 6.6579999923706055 34.902000427246094 3.072000026702881 0.05000000074505806 30.700000762939453 1.8799999952316284 23.299999237060547 0.0
700.0 6.230000019073486 34.89500045776367 3.319000005722046 0.03999999910593033 30.200000762939453 1.8700000047683716 24.399999618530273 0.0
751.0 5.906000137329102 34.89699935913086 3.427000045776367 0.03999999910593033 29.700000762939453 1.840000033378601 25.0 0.0
801.0 5.617000102996826 34.90299987792969 3.61299991607666 0.03999999910593033 28.899999618530273 1.8200000524520874 25.5 0.0
850.0 5.394000053405762 34.904998779296875 3.759999990463257 0.029999999329447746 28.200000762939453 1.7699999809265137 25.600000381469727 0.0
900.0 5.195000171661377 34.917999267578125 3.882999897003174 0.029999999329447746 27.600000381469727 1.7300000190734863 25.799999237060547 0.0
950.0 4.894999980926514 34.92599868774414 4.0329999923706055 0.029999999329447746 26.899999618530273 1.7100000381469727 25.799999237060547 0.0
1001.0 4.724999904632568 34.930999755859375 4.173999786376953 0.029999999329447746 26.399999618530273 1.6699999570846558 25.899999618530273 0.0
1051.0 4.723999977111816 34.93899917602539 4.324999809265137 0.019999999552965164 25.799999237060547 1.6299999952316284 25.899999618530273 0.0
1100.0 4.60099983215332 34.95500183105469 4.409999847412109 0.019999999552965164 25.200000762939453 1.590000033378601 25.600000381469727 0.0
1150.0 4.50600004196167 34.95100021362305 4.545000076293945 0.019999999552965164 24.899999618530273 1.5499999523162842 25.700000762939453 0.0
1200.0 4.445000171661377 34.95399856567383 4.63100004196167 0.019999999552965164 24.600000381469727 1.5399999618530273 25.700000762939453 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.
 


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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