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Dataset Title:  "Deepwater CTD - 93g0104b.ctd.nc - 27.5N, -95.84W - 1993-01-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_93g0104b_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: 363)
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   363 options
    temperature ?  =  degree_C   363 options
    salinity ?  =  PSU   357 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   2 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   10 options
    silicate ?  =  micromols per liter   12 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
4.0 21.14299964904785 34.741600036621094 4.559999942779541 -99.0 0.10000000149011612 0.009999999776482582 1.100000023841858 -99.0 0.0
5.0 21.156600952148438 34.76089859008789 4.539999961853027 -99.0 0.10000000149011612 0.009999999776482582 1.5 -99.0 0.0
6.0 21.2091007232666 34.81990051269531 4.75 -99.0 0.10000000149011612 0.009999999776482582 1.5 -99.0 0.0
7.0 21.43589973449707 34.9900016784668 5.039999961853027 -99.0 0.10000000149011612 1.600000023841858 0.05999999865889549 -99.0 0.0
9.0 21.50790023803711 35.030399322509766 5.070000171661377 -99.0 0.10000000149011612 0.009999999776482582 1.7999999523162842 -99.0 0.0
10.0 21.828500747680664 35.2140007019043 4.980000019073486 -99.0 0.30000001192092896 0.03999999910593033 2.299999952316284 -99.0 0.0
11.0 22.011199951171875 35.301300048828125 4.849999904632568 -99.0 0.20000000298023224 0.029999999329447746 0.0 -99.0 0.0
12.0 22.22800064086914 35.40570068359375 2.990000009536743 -99.0 14.699999809265137 0.8899999856948853 3.799999952316284 -99.0 0.0
13.0 22.317399978637695 35.4385986328125 2.5899999141693115 -99.0 29.299999237060547 1.850000023841858 17.399999618530273 -99.0 0.0
14.0 22.384899139404297 35.47700119018555 2.9200000762939453 -99.0 32.099998474121094 2.119999885559082 23.5 -99.0 0.0
15.0 22.435199737548828 35.5004997253418 4.429999828338623 -99.0 27.5 1.8300000429153442 28.5 -99.0 0.0
16.0 22.44770050048828 35.50790023803711 4.860000133514404 -99.0 24.799999237060547 1.559999942779541 27.100000381469727 -99.0 0.0
17.0 22.481700897216797 35.527099609375 0.0
18.0 22.555599212646484 35.55910110473633 0.0
19.0 22.612499237060547 35.584999084472656 0.0
20.0 22.638099670410156 35.59700012207031 0.0
21.0 22.71780014038086 35.63800048828125 0.0
22.0 22.809499740600586 35.67639923095703 0.0
23.0 22.895099639892578 35.709598541259766 0.0
24.0 22.920000076293945 35.7223014831543 0.0
25.0 22.983400344848633 35.752899169921875 0.0
26.0 23.204200744628906 35.84049987792969 0.0
27.0 23.190500259399414 35.83610153198242 0.0
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299.0 10.873499870300293 35.33100128173828 0.0
300.0 10.847599983215332 35.333499908447266 0.0
301.0 10.87660026550293 35.32889938354492 0.0
302.0 10.801199913024902 35.3203010559082 0.0
303.0 10.78689956665039 35.319698333740234 0.0
304.0 10.7878999710083 35.319400787353516 0.0
305.0 10.829500198364258 35.32500076293945 0.0
306.0 10.789400100708008 35.317298889160156 0.0
307.0 10.760899543762207 35.315799713134766 0.0
308.0 10.762399673461914 35.31629943847656 0.0
309.0 10.776300430297852 35.316898345947266 0.0
310.0 10.763299942016602 35.3140983581543 0.0
311.0 10.751399993896484 35.3135986328125 0.0
312.0 10.746800422668457 35.3135986328125 0.0
313.0 10.754799842834473 35.31420135498047 0.0
314.0 10.738200187683105 35.311100006103516 0.0
315.0 10.722299575805664 35.30889892578125 0.0
316.0 10.703900337219238 35.30720138549805 0.0
317.0 10.704899787902832 35.30730056762695 0.0
318.0 10.700699806213379 35.30659866333008 0.0
319.0 10.694899559020996 35.305301666259766 0.0
320.0 10.685400009155273 35.304298400878906 0.0
321.0 10.676400184631348 35.30350112915039 0.0
322.0 10.675399780273438 35.30289840698242 0.0
323.0 10.674200057983398 35.301700592041016 0.0
324.0 10.65470027923584 35.29949951171875 0.0
325.0 10.636199951171875 35.298500061035156 0.0
326.0 10.62969970703125 35.296199798583984 0.0
327.0 10.634200096130371 35.29520034790039 0.0
328.0 10.596099853515625 35.29079818725586 0.0
329.0 10.581000328063965 35.289100646972656 0.0
330.0 10.565500259399414 35.28730010986328 0.0
331.0 10.562399864196777 35.28739929199219 0.0
332.0 10.55519962310791 35.285701751708984 0.0
333.0 10.550700187683105 35.28450012207031 0.0
334.0 10.549099922180176 35.28450012207031 0.0
335.0 10.543800354003906 35.28419876098633 0.0
336.0 10.544899940490723 35.28340148925781 0.0
337.0 10.526599884033203 35.28120040893555 0.0
338.0 10.513299942016602 35.27949905395508 0.0
340.0 10.499899864196777 35.27790069580078 0.0
341.0 10.504899978637695 35.2776985168457 0.0
342.0 10.49120044708252 35.27640151977539 0.0
343.0 10.48799991607666 35.276100158691406 0.0
344.0 10.483499526977539 35.2755012512207 0.0
345.0 10.487000465393066 35.27519989013672 0.0
346.0 10.45930004119873 35.27119827270508 0.0
347.0 10.449399948120117 35.27080154418945 0.0
348.0 10.440500259399414 35.269901275634766 0.0
349.0 10.437299728393555 35.26850128173828 0.0
350.0 10.428099632263184 35.267601013183594 0.0
351.0 10.428600311279297 35.267601013183594 0.0
352.0 10.429699897766113 35.26750183105469 0.0
353.0 10.431099891662598 35.2677001953125 0.0
354.0 10.440799713134766 35.269100189208984 0.0
355.0 10.4483003616333 35.26969909667969 0.0
356.0 10.451000213623047 35.270198822021484 0.0
357.0 10.445699691772461 35.269798278808594 0.0
358.0 10.444600105285645 35.269100189208984 0.0
359.0 10.439200401306152 35.267799377441406 0.0
360.0 10.375399589538574 35.259300231933594 0.0
361.0 10.336799621582031 35.25550079345703 0.0
362.0 10.315500259399414 35.252899169921875 0.0
363.0 10.309200286865234 35.2510986328125 0.0
364.0 10.288999557495117 35.24700164794922 0.0
365.0 10.264800071716309 35.24599838256836 0.0
366.0 10.25529956817627 35.245201110839844 0.0
367.0 10.24779987335205 35.24250030517578 0.0
368.0 10.186699867248535 35.2338981628418 0.0
369.0 10.181599617004395 35.234901428222656 0.0
370.0 10.013400077819824 35.21070098876953 0.0
371.0 9.607500076293945 35.15520095825195 0.0

In total, there are 363 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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