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Dataset Title:  "Deepwater CTD - 94g076a.ctd.nc - 27.93N, -90.62W - 1994-00-16" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g076a_ctd)
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: 335)
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   335 options
    temperature ?  =  degree_C   314 options
    salinity ?  =  PSU   263 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   13 options
    salinity2 ?  =  PSU   2 options
    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
2.0 28.875 31.458999633789062 4.488999843597412 0.019999999552965164 0.10000000149011612 0.019999999552965164 2.0999999046325684 -99.0 0.0
3.0 28.881999969482422 31.483999252319336 4.498000144958496 0.009999999776482582 0.10000000149011612 0.019999999552965164 1.899999976158142 -99.0 0.0
4.0 28.899999618530273 31.5310001373291 5.206999778747559 0.009999999776482582 0.20000000298023224 0.009999999776482582 1.2999999523162842 -99.0 0.0
5.0 28.898000717163086 31.52199935913086 4.828000068664551 0.0 0.20000000298023224 0.009999999776482582 1.0 -99.0 0.0
6.0 28.902000427246094 31.534000396728516 3.8429999351501465 0.07999999821186066 2.0 0.10000000149011612 2.700000047683716 -99.0 0.0
7.0 28.91699981689453 31.58799934387207 2.819000005722046 0.05999999865889549 11.5 0.550000011920929 3.799999952316284 -99.0 0.0
8.0 28.91699981689453 31.59000015258789 2.828000068664551 0.05000000074505806 15.300000190734863 0.7599999904632568 5.099999904632568 -99.0 0.0
9.0 28.950000762939453 31.69300079345703 2.7209999561309814 0.05000000074505806 16.299999237060547 0.9900000095367432 7.0 -99.0 0.0
10.0 28.992000579833984 31.78499984741211 2.6410000324249268 0.03999999910593033 20.899999618530273 1.1399999856948853 8.699999809265137 -99.0 0.0
11.0 29.035999298095703 31.97100067138672 2.5880000591278076 0.03999999910593033 23.0 1.2799999713897705 10.399999618530273 -99.0 0.0
12.0 29.496999740600586 32.83300018310547 2.515000104904175 0.03999999910593033 25.399999618530273 1.4500000476837158 12.399999618530273 -99.0 0.0
13.0 29.698999404907227 33.54399871826172 2.4649999141693115 0.03999999910593033 26.5 1.5199999809265137 13.699999809265137 -99.0 0.0
14.0 29.756000518798828 34.15800094604492 0.0
15.0 29.684999465942383 34.667999267578125 0.0
16.0 29.547000885009766 34.99800109863281 0.0
17.0 29.509000778198242 35.125999450683594 0.0
18.0 29.503000259399414 35.20100021362305 0.0
19.0 29.506999969482422 35.29399871826172 0.0
20.0 29.44499969482422 35.37900161743164 0.0
21.0 29.381000518798828 35.400001525878906 0.0
22.0 29.285999298095703 35.38100051879883 0.0
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297.0 11.829999923706055 35.47100067138672 0.0
298.0 11.829999923706055 35.470001220703125 0.0
299.0 11.829999923706055 35.470001220703125 0.0
300.0 11.829999923706055 35.470001220703125 0.0
301.0 11.829999923706055 35.470001220703125 0.0
302.0 11.829000473022461 35.470001220703125 0.0
303.0 11.829999923706055 35.470001220703125 0.0
304.0 11.831000328063965 35.470001220703125 0.0
305.0 11.831000328063965 35.470001220703125 0.0
306.0 11.829999923706055 35.470001220703125 0.0
307.0 11.831000328063965 35.470001220703125 0.0
308.0 11.829000473022461 35.46900177001953 0.0
309.0 11.829999923706055 35.470001220703125 0.0
310.0 11.82800006866455 35.46900177001953 0.0
311.0 11.826000213623047 35.46900177001953 0.0
312.0 11.82800006866455 35.46900177001953 0.0
313.0 11.824000358581543 35.46799850463867 0.0
314.0 11.826000213623047 35.46799850463867 0.0
315.0 11.82699966430664 35.46799850463867 0.0
316.0 11.82800006866455 35.46900177001953 0.0
317.0 11.82800006866455 35.46900177001953 0.0
318.0 11.82800006866455 35.46900177001953 0.0
319.0 11.82800006866455 35.46900177001953 0.0
320.0 11.822999954223633 35.46799850463867 0.0
321.0 11.788000106811523 35.4630012512207 0.0
322.0 11.777999877929688 35.46099853515625 0.0
323.0 11.75100040435791 35.457000732421875 0.0
324.0 11.736000061035156 35.45500183105469 0.0
325.0 11.729000091552734 35.45399856567383 0.0
326.0 11.725000381469727 35.452999114990234 0.0
327.0 11.704999923706055 35.45000076293945 0.0
328.0 11.675999641418457 35.44599914550781 0.0
329.0 11.670000076293945 35.44499969482422 0.0
330.0 11.663999557495117 35.444000244140625 0.0
331.0 11.661999702453613 35.444000244140625 0.0
332.0 11.65999984741211 35.44300079345703 0.0
333.0 11.654000282287598 35.44300079345703 0.0
334.0 11.645999908447266 35.441001892089844 0.0
335.0 11.571000099182129 35.430999755859375 0.0
336.0 11.567999839782715 35.430999755859375 0.0

In total, there are 335 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.


 
ERDDAP, Version 2.23
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