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Dataset Title:  "Deepwater CTD - d93e211.ctd.nc - 27.84N, -94.59W - 1993-05-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93e211_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: 539)
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   270 options
    temperature ?  =  degree_C   538 options
    salinity ?  =  PSU   511 options
    oxygen ?  =  milliliters per liter   13 options
    pressure ?  =  decibars   539 options
    nitrite ?  =  micromols   10 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 options
    qualityFlag ?  =  2 options

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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
3.0 24.479299545288086 34.25640106201172 4.809999942779541 3.5239999294281006 0.029999999329447746 0.05000000074505806 0.029999999329447746 2.869999885559082 34.369998931884766 0.0
3.0 24.480300903320312 34.25619888305664 4.860000133514404 3.0199999809265137 0.05000000074505806 0.05999999865889549 0.029999999329447746 2.880000114440918 34.25299835205078 0.0
4.0 24.4768009185791 34.256900787353516 4.840000152587891 4.53000020980835 0.05999999865889549 0.019999999552965164 0.029999999329447746 1.7400000095367432 35.97100067138672 0.0
4.0 24.477100372314453 34.25600051879883 4.820000171661377 4.0269999504089355 0.05000000074505806 0.09000000357627869 0.029999999329447746 3.130000114440918 34.935001373291016 0.0
5.0 24.478099822998047 34.25640106201172 4.5 5.033999919891357 0.44999998807907104 0.46000000834465027 0.09000000357627869 4.440000057220459 35.61199951171875 0.0
5.0 24.478500366210938 34.25640106201172 4.099999904632568 5.5370001792907715 0.7300000190734863 1.659999966621399 0.1599999964237213 7.159999847412109 35.36399841308594 0.0
6.0 24.478599548339844 34.25559997558594 4.349999904632568 6.544000148773193 0.49000000953674316 2.0 0.17000000178813934 4.53000020980835 35.7869987487793 0.0
6.0 24.478700637817383 34.256099700927734 4.289999961853027 6.040999889373779 0.3799999952316284 1.4800000190734863 0.12999999523162842 3.7899999618530273 35.9640007019043 0.0
7.0 24.46940040588379 34.26319885253906 2.799999952316284 7.551000118255615 0.05000000074505806 13.869999885559082 0.75 5.53000020980835 36.29899978637695 0.0
7.0 24.47640037536621 34.25859832763672 3.990000009536743 7.046999931335449 0.20000000298023224 4.389999866485596 0.2800000011920929 4.659999847412109 35.98099899291992 0.0
8.0 24.415700912475586 34.270301818847656 2.6600000858306885 8.557000160217285 0.05000000074505806 21.549999237060547 1.2999999523162842 9.960000038146973 35.70500183105469 0.0
8.0 24.465099334716797 34.262699127197266 2.759999990463257 8.053999900817871 0.03999999910593033 17.809999465942383 1.0099999904632568 7.820000171661377 35.987998962402344 0.0
9.0 24.37420082092285 34.285499572753906 9.564000129699707 0.0
9.0 24.385799407958984 34.28379821777344 9.060999870300293 0.0
10.0 24.327699661254883 34.279998779296875 10.571000099182129 0.0
10.0 24.35260009765625 34.28350067138672 10.067999839782715 0.0
11.0 24.173099517822266 34.262298583984375 11.57800006866455 0.0
11.0 24.262100219726562 34.270301818847656 11.074000358581543 0.0
12.0 24.088899612426758 34.26959991455078 12.585000038146973 0.0
12.0 24.09670066833496 34.264198303222656 12.081000328063965 0.0
13.0 24.091699600219727 34.27280044555664 13.088000297546387 0.0
13.0 24.093399047851562 34.28030014038086 13.590999603271484 0.0
14.0 24.071500778198242 34.28129959106445 14.597999572753906 0.0
14.0 24.0841007232666 34.27980041503906 14.095000267028809 0.0
15.0 24.07939910888672 34.28770065307617 15.10200023651123 0.0
15.0 24.084199905395508 34.28950119018555 15.604999542236328 0.0
16.0 24.08609962463379 34.29059982299805 16.107999801635742 0.0
16.0 24.089500427246094 34.287601470947266 16.61199951171875 0.0
17.0 24.088199615478516 34.2958984375 17.618999481201172 0.0
17.0 24.08930015563965 34.29499816894531 17.114999771118164 0.0
18.0 24.078500747680664 34.29499816894531 18.625 0.0
18.0 24.089099884033203 34.296600341796875 18.121999740600586 0.0
19.0 24.05769920349121 34.29090118408203 19.631999969482422 0.0
19.0 24.066600799560547 34.29249954223633 19.128999710083008 0.0
20.0 24.051700592041016 34.29410171508789 20.13599967956543 0.0
20.0 24.075000762939453 34.29330062866211 20.638999938964844 0.0
21.0 23.517799377441406 34.243499755859375 21.645999908447266 0.0
21.0 24.017099380493164 34.29610061645508 21.14299964904785 0.0
22.0 22.886699676513672 34.21739959716797 22.652999877929688 0.0
22.0 22.927200317382812 34.221900939941406 22.14900016784668 0.0
23.0 22.825300216674805 34.20309829711914 23.65999984741211 0.0
23.0 22.849000930786133 34.21030044555664 23.1560001373291 0.0
24.0 22.754600524902344 34.187198638916016 24.666000366210938 0.0
24.0 22.7893009185791 34.19240188598633 24.163000106811523 0.0
25.0 22.749799728393555 34.227699279785156 25.67300033569336 0.0
25.0 22.757200241088867 34.193599700927734 25.170000076293945 0.0
26.0 22.896299362182617 34.35279846191406 26.177000045776367 0.0
26.0 22.975500106811523 34.412498474121094 26.68000030517578 0.0
27.0 23.1299991607666 34.52640151977539 27.18400001525879 0.0
27.0 23.386699676513672 34.74359893798828 27.687000274658203 0.0
28.0 23.71150016784668 35.13710021972656 28.190000534057617 0.0
28.0 23.71419906616211 35.32160186767578 28.694000244140625 0.0
29.0 23.584800720214844 35.31930160522461 29.701000213623047 0.0
29.0 23.62019920349121 35.32849884033203 29.19700050354004 0.0
30.0 23.542800903320312 35.36539840698242 30.20400047302246 0.0
30.0 23.628000259399414 35.454200744628906 30.70800018310547 0.0
31.0 23.931900024414062 35.66600036621094 31.211000442504883 0.0
31.0 24.19969940185547 35.80139923095703 31.71500015258789 0.0
32.0 24.478300094604492 35.92660140991211 32.21799850463867 0.0
32.0 24.569900512695312 35.9635009765625 32.72100067138672 0.0
33.0 24.61389923095703 35.98889923095703 33.224998474121094 0.0
33.0 24.658000946044922 36.014198303222656 33.72800064086914 0.0
34.0 24.670299530029297 36.029701232910156 34.73500061035156 0.0
34.0 24.70199966430664 36.03950119018555 34.231998443603516 0.0
35.0 24.655000686645508 36.04389953613281 35.23899841308594 0.0
35.0 24.6648006439209 36.064998626708984 35.742000579833984 0.0
36.0 24.661100387573242 36.076698303222656 36.749000549316406 0.0
36.0 24.6658992767334 36.07279968261719 36.244998931884766 0.0
37.0 24.562700271606445 36.09479904174805 37.75600051879883 0.0
37.0 24.62529945373535 36.08810043334961 37.25299835205078 0.0
38.0 24.515399932861328 36.0817985534668 38.76300048828125 0.0
38.0 24.54640007019043 36.092098236083984 38.25899887084961 0.0
39.0 24.41200065612793 36.047401428222656 39.77000045776367 0.0
39.0 24.45240020751953 36.061500549316406 39.26599884033203 0.0
40.0 24.21339988708496 35.97850036621094 40.777000427246094 0.0
40.0 24.342199325561523 36.02119827270508 40.27299880981445 0.0
41.0 23.754600524902344 35.831199645996094 41.784000396728516 0.0
41.0 24.056900024414062 35.925498962402344 41.279998779296875 0.0
42.0 23.547500610351562 35.769500732421875 42.79100036621094 0.0
42.0 23.608600616455078 35.7869987487793 42.2869987487793 0.0
43.0 23.41790008544922 35.714900970458984 43.79800033569336 0.0
43.0 23.48080062866211 35.73609924316406 43.29399871826172 0.0
44.0 22.473100662231445 35.46189880371094 44.80500030517578 0.0
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47.0 21.271699905395508 35.1255989074707 47.321998596191406 0.0
48.0 20.619400024414062 34.96739959716797 48.832000732421875 0.0
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49.0 19.625499725341797 34.71799850463867 49.8390007019043 0.0
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50.0 19.669300079345703 34.77920150756836 50.34299850463867 0.0
50.0 19.859600067138672 34.878299713134766 50.84600067138672 0.0
51.0 20.014999389648438 34.959598541259766 51.349998474121094 0.0
51.0 20.284700393676758 35.08089828491211 51.85300064086914 0.0
52.0 20.51059913635254 35.18230056762695 52.356998443603516 0.0
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53.0 21.542499542236328 35.640899658203125 53.36399841308594 0.0
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55.0 22.014799118041992 35.92599868774414 55.88100051879883 0.0
55.0 22.209800720214844 35.94710159301758 55.37799835205078 0.0
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57.0 21.971200942993164 35.96179962158203 57.391998291015625 0.0
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58.0 21.72410011291504 35.89419937133789 58.39899826049805 0.0
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60.0 21.7731990814209 35.977901458740234 60.41299819946289 0.0
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240.0 13.951800346374512 35.812599182128906 241.75799560546875 0.0
241.0 13.885700225830078 35.80459976196289 243.2689971923828 1.0
241.0 13.918999671936035 35.80979919433594 242.76499938964844 1.0
242.0 13.850700378417969 35.79840087890625 244.27699279785156 1.0
242.0 13.86359977722168 35.800899505615234 243.7729949951172 1.0
243.0 13.833499908447266 35.79570007324219 245.28500366210938 1.0
243.0 13.834199905395508 35.795799255371094 244.781005859375 1.0
244.0 13.83240032196045 35.79600143432617 246.29299926757812 1.0
244.0 13.833000183105469 35.7958984375 245.78900146484375 1.0
245.0 13.831399917602539 35.796199798583984 247.30099487304688 1.0
245.0 13.831899642944336 35.79610061645508 246.7969970703125 1.0
246.0 13.793700218200684 35.78900146484375 248.3090057373047 0.0
246.0 13.80620002746582 35.791500091552734 247.80499267578125 1.0
247.0 13.786800384521484 35.7869987487793 249.31700134277344 0.0
247.0 13.793299674987793 35.78839874267578 248.81300354003906 0.0
248.0 13.713700294494629 35.7755012512207 250.3249969482422 0.0
248.0 13.756699562072754 35.781898498535156 249.8209991455078 0.0
249.0 13.67590045928955 35.7681999206543 251.33299255371094 0.0
249.0 13.708399772644043 35.77560043334961 250.82899475097656 0.0
250.0 13.61970043182373 35.76110076904297 252.34100341796875 0.0
250.0 13.639599800109863 35.76319885253906 251.83700561523438 0.0
251.0 13.583399772644043 35.75450134277344 253.3489990234375 0.0
251.0 13.607999801635742 35.7588005065918 252.84500122070312 0.0
252.0 13.553199768066406 35.75090026855469 254.35699462890625 0.0
252.0 13.570300102233887 35.75360107421875 253.85299682617188 0.0
253.0 13.530599594116211 35.74689865112305 255.36500549316406 0.0
253.0 13.536199569702148 35.74810028076172 254.86099243164062 0.0
254.0 13.517000198364258 35.74399948120117 256.37298583984375 0.0
254.0 13.51729965209961 35.74470138549805 255.86900329589844 0.0
255.0 13.47089958190918 35.73749923706055 257.3810119628906 0.0
255.0 13.491900444030762 35.7401008605957 256.87701416015625 0.0
256.0 13.422499656677246 35.72850036621094 258.3890075683594 0.0
256.0 13.480999946594238 35.73870086669922 257.885009765625 0.0
257.0 13.373800277709961 35.72269821166992 259.3970031738281 0.0
257.0 13.37660026550293 35.7234001159668 258.89300537109375 0.0
258.0 13.378399848937988 35.72309875488281 259.9010009765625 0.0
258.0 13.380499839782715 35.722599029541016 260.4049987792969 0.0
259.0 13.361900329589844 35.72100067138672 261.4129943847656 0.0
259.0 13.368499755859375 35.72200012207031 260.90899658203125 0.0
260.0 13.353500366210938 35.71989822387695 262.4209899902344 0.0
260.0 13.369799613952637 35.721900939941406 261.9169921875 0.0
261.0 13.343500137329102 35.71849822998047 263.4289855957031 0.0
261.0 13.348600387573242 35.71950149536133 262.92498779296875 0.0
262.0 13.306500434875488 35.71329879760742 264.43701171875 1.0
262.0 13.316100120544434 35.713401794433594 263.9330139160156 0.0
263.0 13.298500061035156 35.71220016479492 265.44500732421875 1.0
263.0 13.321000099182129 35.715999603271484 264.9410095214844 1.0
264.0 13.298500061035156 35.712100982666016 265.9490051269531 1.0
264.0 13.300800323486328 35.71220016479492 266.4530029296875 1.0
265.0 13.297900199890137 35.71189880371094 267.46099853515625 1.0
265.0 13.298399925231934 35.71189880371094 266.9570007324219 1.0
266.0 13.293999671936035 35.71149826049805 268.468994140625 1.0
266.0 13.29580020904541 35.71149826049805 267.9649963378906 1.0
267.0 13.296099662780762 35.711700439453125 268.9729919433594 1.0
267.0 13.30049991607666 35.712398529052734 269.47698974609375 1.0
268.0 13.299699783325195 35.71260070800781 270.4849853515625 1.0
268.0 13.300399780273438 35.712501525878906 269.9809875488281 1.0
269.0 13.298299789428711 35.712100982666016 271.4930114746094 1.0
269.0 13.300000190734863 35.712501525878906 270.989013671875 1.0
270.0 13.252900123596191 35.704898834228516 272.5010070800781 1.0
270.0 13.289299964904785 35.71009826660156 271.99700927734375 0.0
271.0 13.241700172424316 35.7036018371582 273.5090026855469 1.0
271.0 13.247099876403809 35.7046012878418 273.0050048828125 1.0
272.0 13.247699737548828 35.70500183105469 274.01300048828125 1.0

In total, there are 539 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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