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Dataset Title:  "Deepwater CTD - 94g0805.ctd.nc - 28.57N, -89.88W - 1994-10-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0805_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: 396)
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   396 options
    temperature ?  =  degree_C   395 options
    salinity ?  =  PSU   386 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   11 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 26.973100662231445 35.33290100097656 5.234000205993652 0.019999999552965164 0.0 0.07999999821186066 2.4000000953674316 -99.0 0.0
2.0 26.975799560546875 35.240501403808594 5.267000198364258 0.019999999552965164 0.0 0.07000000029802322 1.899999976158142 -99.0 0.0
3.0 26.985000610351562 35.48699951171875 3.1070001125335693 0.03999999910593033 10.800000190734863 0.6299999952316284 6.0 -99.0 0.0
4.0 26.984899520874023 35.70249938964844 3.2929999828338623 0.029999999329447746 14.800000190734863 0.8700000047683716 5.699999809265137 -99.0 0.0
5.0 26.980600357055664 35.75849914550781 2.99399995803833 0.029999999329447746 18.0 1.0800000429153442 8.100000381469727 -99.0 0.0
6.0 26.97209930419922 35.791900634765625 3.1510000228881836 0.03999999910593033 18.100000381469727 1.0800000429153442 8.100000381469727 -99.0 0.0
7.0 26.950899124145508 35.87070083618164 3.1029999256134033 0.05999999865889549 20.299999237060547 1.2599999904632568 10.100000381469727 -99.0 0.0
8.0 26.927900314331055 35.92490005493164 3.0139999389648438 0.019999999552965164 22.5 1.409999966621399 11.699999809265137 -99.0 0.0
9.0 26.907499313354492 35.957698822021484 2.934000015258789 0.019999999552965164 22.799999237060547 1.409999966621399 12.0 -99.0 0.0
10.0 26.902799606323242 35.95479965209961 2.799999952316284 0.05000000074505806 24.5 1.5199999809265137 13.0 -99.0 0.0
11.0 26.902999877929688 35.95130157470703 2.943000078201294 0.05000000074505806 26.799999237060547 1.7100000381469727 15.699999809265137 -99.0 0.0
12.0 26.89929962158203 35.95330047607422 0.0
13.0 26.894699096679688 35.95309829711914 0.0
14.0 26.891599655151367 35.95320129394531 0.0
15.0 26.889799118041992 35.95349884033203 0.0
16.0 26.88719940185547 35.95370101928711 0.0
17.0 26.88520050048828 35.95320129394531 0.0
18.0 26.87980079650879 35.95199966430664 0.0
19.0 26.876399993896484 35.95130157470703 0.0
20.0 26.87179946899414 35.950401306152344 0.0
21.0 26.869199752807617 35.95050048828125 0.0
22.0 26.868000030517578 35.950199127197266 0.0
23.0 26.86720085144043 35.95029830932617 0.0
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292.0 12.366100311279297 35.54679870605469 0.0
293.0 12.2947998046875 35.53820037841797 0.0
294.0 12.249099731445312 35.53110122680664 0.0
295.0 12.210100173950195 35.52389907836914 0.0
296.0 12.175399780273438 35.518699645996094 0.0
297.0 12.15369987487793 35.515201568603516 0.0
298.0 12.132499694824219 35.51150131225586 0.0
299.0 12.094799995422363 35.50579833984375 0.0
300.0 12.060400009155273 35.50130081176758 0.0
301.0 12.039600372314453 35.49810028076172 0.0
302.0 12.017499923706055 35.49409866333008 0.0
303.0 11.98330020904541 35.48929977416992 0.0
304.0 11.955499649047852 35.48540115356445 0.0
305.0 11.935199737548828 35.4828987121582 0.0
306.0 11.923100471496582 35.47999954223633 0.0
307.0 11.899200439453125 35.476200103759766 0.0
308.0 11.888099670410156 35.47460174560547 0.0
309.0 11.844300270080566 35.46910095214844 0.0
310.0 11.812000274658203 35.46329879760742 0.0
311.0 11.794699668884277 35.46039962768555 0.0
312.0 11.784199714660645 35.458099365234375 0.0
313.0 11.76509952545166 35.455501556396484 0.0
314.0 11.752799987792969 35.45370101928711 0.0
315.0 11.740900039672852 35.451900482177734 0.0
316.0 11.73390007019043 35.45000076293945 0.0
317.0 11.718099594116211 35.44779968261719 0.0
318.0 11.691300392150879 35.444400787353516 0.0
319.0 11.68280029296875 35.443199157714844 0.0
320.0 11.702500343322754 35.44419860839844 0.0
321.0 11.656100273132324 35.43870162963867 0.0
322.0 11.630999565124512 35.43519973754883 0.0
323.0 11.61929988861084 35.43299865722656 0.0
324.0 11.609199523925781 35.43119812011719 0.0
325.0 11.603599548339844 35.4297981262207 0.0
326.0 11.594499588012695 35.42839813232422 0.0
327.0 11.59179973602295 35.42789840698242 0.0
328.0 11.589799880981445 35.4275016784668 0.0
329.0 11.581500053405762 35.42649841308594 0.0
330.0 11.570799827575684 35.424800872802734 0.0
331.0 11.559300422668457 35.423099517822266 0.0
332.0 11.547599792480469 35.42150115966797 0.0
333.0 11.536399841308594 35.4197998046875 0.0
334.0 11.538700103759766 35.419898986816406 0.0
335.0 11.531299591064453 35.41899871826172 0.0
336.0 11.520899772644043 35.417301177978516 0.0
337.0 11.482799530029297 35.412498474121094 0.0
338.0 11.371700286865234 35.39939880371094 0.0
339.0 11.397700309753418 35.40190124511719 0.0
340.0 11.361100196838379 35.39500045776367 0.0
341.0 11.336299896240234 35.3921012878418 0.0
342.0 11.340399742126465 35.3921012878418 0.0
343.0 11.34119987487793 35.39179992675781 0.0
344.0 11.327099800109863 35.38949966430664 0.0
345.0 11.316300392150879 35.387901306152344 0.0
346.0 11.311300277709961 35.387001037597656 0.0
347.0 11.309599876403809 35.38669967651367 0.0
348.0 11.310099601745605 35.38650131225586 0.0
349.0 11.306500434875488 35.385398864746094 0.0
350.0 11.297200202941895 35.384700775146484 0.0
351.0 11.295700073242188 35.3843994140625 0.0
352.0 11.299200057983398 35.38410186767578 0.0
353.0 11.296199798583984 35.3838996887207 0.0
354.0 11.283499717712402 35.382301330566406 0.0
355.0 11.266799926757812 35.38010025024414 0.0
356.0 11.243900299072266 35.37689971923828 0.0
357.0 11.192399978637695 35.370399475097656 0.0
358.0 11.164899826049805 35.36579895019531 0.0
359.0 11.126299858093262 35.36119842529297 0.0
360.0 11.078800201416016 35.355201721191406 0.0
361.0 11.0516996383667 35.351200103759766 0.0
362.0 11.101900100708008 35.35639953613281 0.0
363.0 10.92549991607666 35.33549880981445 0.0
364.0 10.924799919128418 35.333900451660156 0.0
365.0 10.911100387573242 35.33169937133789 0.0
366.0 10.890000343322754 35.32830047607422 0.0
367.0 10.851699829101562 35.32270050048828 0.0
368.0 10.83489990234375 35.3203010559082 0.0
369.0 10.824700355529785 35.318599700927734 0.0
370.0 10.809000015258789 35.31639862060547 0.0
371.0 10.827500343322754 35.317100524902344 0.0
372.0 10.786100387573242 35.312801361083984 0.0
373.0 10.77929973602295 35.311500549316406 0.0
374.0 10.779199600219727 35.311100006103516 0.0
375.0 10.794899940490723 35.31230163574219 0.0
376.0 10.775799751281738 35.30970001220703 0.0
377.0 10.768400192260742 35.30910110473633 0.0
378.0 10.730899810791016 35.3036994934082 0.0
379.0 10.70009994506836 35.301300048828125 0.0
380.0 10.698599815368652 35.299800872802734 0.0
381.0 10.596400260925293 35.287899017333984 0.0
382.0 10.541799545288086 35.28089904785156 0.0
383.0 10.4822998046875 35.27439880371094 0.0
384.0 10.427300453186035 35.265098571777344 0.0
385.0 10.409500122070312 35.26190185546875 0.0
386.0 10.343299865722656 35.25419998168945 0.0
387.0 10.296199798583984 35.248199462890625 0.0
388.0 10.277700424194336 35.244998931884766 0.0
389.0 10.241800308227539 35.23899841308594 0.0
390.0 10.171500205993652 35.2317008972168 0.0
391.0 10.012499809265137 35.21369934082031 0.0
392.0 10.113499641418457 35.22090148925781 0.0
393.0 9.92609977722168 35.20029830932617 0.0
394.0 9.916600227355957 35.19169998168945 0.0
395.0 9.934900283813477 35.1973991394043 0.0
396.0 9.895899772644043 35.19150161743164 0.0

In total, there are 396 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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