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Dataset Title:  "Deepwater CTD - 94g0853.ctd.nc - 28.54N, -89.64W - 1994-10-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0853_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: 356)
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   356 options
    temperature ?  =  degree_C   348 options
    salinity ?  =  PSU   324 options
    oxygen ?  =  milliliters per liter   8 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   10 options
    silicate ?  =  micromols per liter   11 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
1.0 26.033899307250977 29.351299285888672 -99.0 0.009999999776482582 0.0 0.019999999552965164 1.5 -99.0 0.0
2.0 25.828100204467773 30.322399139404297 4.940000057220459 0.009999999776482582 0.0 0.019999999552965164 1.5 -99.0 0.0
3.0 25.711599349975586 30.517499923706055 -99.0 0.009999999776482582 0.0 0.009999999776482582 1.2000000476837158 -99.0 0.0
4.0 25.827899932861328 31.216800689697266 -99.0 0.019999999552965164 0.0 0.019999999552965164 1.0 -99.0 0.0
5.0 26.240800857543945 32.98659896850586 -99.0 0.10000000149011612 1.7000000476837158 0.09000000357627869 1.600000023841858 -99.0 0.0
6.0 26.16320037841797 33.72370147705078 3.4240000247955322 0.03999999910593033 9.0 0.4099999964237213 3.0999999046325684 -99.0 0.0
7.0 26.096099853515625 34.04840087890625 -99.0 0.019999999552965164 11.100000381469727 0.550000011920929 3.5999999046325684 -99.0 0.0
8.0 26.081100463867188 34.11149978637695 3.2260000705718994 0.009999999776482582 22.0 1.2599999904632568 10.0 -99.0 0.0
9.0 26.104900360107422 34.1422004699707 3.5850000381469727 0.0 30.5 1.8600000143051147 23.200000762939453 -99.0 0.0
10.0 26.13450050354004 34.245399475097656 4.011000156402588 0.009999999776482582 29.700000762939453 1.7999999523162842 24.799999237060547 -99.0 0.0
11.0 26.201000213623047 34.3557014465332 4.333000183105469 0.0 27.700000762939453 1.7400000095367432 25.299999237060547 -99.0 0.0
12.0 26.507099151611328 34.890499114990234 0.0
13.0 26.791799545288086 35.49509811401367 0.0
14.0 26.909400939941406 35.72050094604492 0.0
15.0 26.99720001220703 35.86539840698242 0.0
16.0 27.022600173950195 35.917701721191406 0.0
17.0 27.04010009765625 35.95650100708008 0.0
18.0 27.052400588989258 35.97949981689453 0.0
19.0 27.055099487304688 35.98529815673828 0.0
20.0 27.055299758911133 35.98759841918945 0.0
21.0 27.049400329589844 35.98809814453125 0.0
22.0 27.042299270629883 35.987300872802734 0.0
23.0 27.03849983215332 35.98720169067383 0.0
24.0 27.037700653076172 35.98789978027344 0.0
25.0 27.03820037841797 35.98899841308594 0.0
26.0 27.039400100708008 35.990501403808594 0.0
27.0 27.041500091552734 35.992698669433594 0.0
28.0 27.04450035095215 35.99679946899414 0.0
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41.0 26.507999420166016 36.136600494384766 0.0
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293.0 13.565099716186523 35.731998443603516 0.0
294.0 13.564000129699707 35.73139953613281 0.0
295.0 13.564599990844727 35.731300354003906 0.0
296.0 13.565600395202637 35.7317008972168 0.0
297.0 13.560199737548828 35.730899810791016 0.0
298.0 13.559800148010254 35.730499267578125 0.0
299.0 13.561300277709961 35.7307014465332 0.0
300.0 13.564299583435059 35.73109817504883 0.0
301.0 13.567299842834473 35.7317008972168 0.0
302.0 13.565299987792969 35.73099899291992 0.0
303.0 13.562600135803223 35.7307014465332 0.0
304.0 13.564399719238281 35.73099899291992 0.0
305.0 13.569600105285645 35.7317008972168 0.0
306.0 13.570500373840332 35.7318000793457 0.0
307.0 13.571100234985352 35.7317008972168 0.0
308.0 13.572699546813965 35.73210144042969 0.0
309.0 13.573800086975098 35.732200622558594 0.0
310.0 13.57229995727539 35.7322998046875 0.0
311.0 13.57229995727539 35.73189926147461 0.0
312.0 13.57349967956543 35.73210144042969 0.0
313.0 13.57229995727539 35.731998443603516 0.0
314.0 13.566800117492676 35.73109817504883 0.0
315.0 13.565699577331543 35.730899810791016 0.0
316.0 13.5649995803833 35.730899810791016 0.0
317.0 13.564800262451172 35.7307014465332 0.0
318.0 13.563799858093262 35.73059844970703 0.0
319.0 13.558500289916992 35.72990036010742 0.0
320.0 13.553000450134277 35.72890090942383 0.0
321.0 13.554499626159668 35.729000091552734 0.0
322.0 13.546500205993652 35.727901458740234 0.0
323.0 13.55210018157959 35.72869873046875 0.0
324.0 13.552300453186035 35.72829818725586 0.0
325.0 13.56190013885498 35.72999954223633 0.0
326.0 13.56820011138916 35.730899810791016 0.0
327.0 13.572600364685059 35.7317008972168 0.0
328.0 13.542499542236328 35.726600646972656 0.0
329.0 13.52970027923584 35.72520065307617 0.0
330.0 13.47249984741211 35.718101501464844 0.0
331.0 13.434900283813477 35.71179962158203 0.0
332.0 13.433199882507324 35.71110153198242 0.0
333.0 13.427499771118164 35.709800720214844 0.0
334.0 13.422499656677246 35.70880126953125 0.0
335.0 13.421500205993652 35.708499908447266 0.0
336.0 13.420599937438965 35.70819854736328 0.0
337.0 13.419099807739258 35.70790100097656 0.0
338.0 13.402999877929688 35.70539855957031 0.0
339.0 13.356599807739258 35.69839859008789 0.0
340.0 13.235300064086914 35.68119812011719 0.0
341.0 13.189399719238281 35.673099517822266 0.0
342.0 13.05210018157959 35.65079879760742 0.0
343.0 12.941200256347656 35.63309860229492 0.0
344.0 12.902600288391113 35.627201080322266 0.0
345.0 12.879300117492676 35.62369918823242 0.0
346.0 12.866600036621094 35.62139892578125 0.0
347.0 12.853799819946289 35.619300842285156 0.0
348.0 12.827300071716309 35.615501403808594 0.0
349.0 12.78969955444336 35.609901428222656 0.0
350.0 12.76990032196045 35.6067008972168 0.0
351.0 12.737099647521973 35.60169982910156 0.0
352.0 12.72439956665039 35.599300384521484 0.0
353.0 12.712499618530273 35.5973014831543 0.0
354.0 12.681900024414062 35.59270095825195 0.0
355.0 12.526399612426758 35.56809997558594 0.0
356.0 12.519000053405762 35.56660079956055 0.0

In total, there are 356 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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