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Dataset Title:  "Deepwater CTD - d93g171.ctd.nc - 27.81N, -95.06W - 1993-11-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g171_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: 523)
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   262 options
    temperature ?  =  degree_C   490 options
    salinity ?  =  PSU   416 options
    oxygen ?  =  milliliters per liter   11 options
    pressure ?  =  decibars   523 options
    nitrite ?  =  micromols   5 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   7 options
    silicate ?  =  micromols   11 options
    salinity2 ?  =  PSU   9 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
2.0 25.631200790405273 36.09230041503906 4.699999809265137 2.5169999599456787 0.019999999552965164 0.2199999988079071 0.029999999329447746 2.380000114440918 36.099998474121094 0.0
2.0 25.632200241088867 36.09230041503906 4.809999942779541 2.013000011444092 0.009999999776482582 0.3100000023841858 0.029999999329447746 2.440000057220459 36.0989990234375 0.0
3.0 25.62849998474121 36.09239959716797 4.730000019073486 3.5239999294281006 0.009999999776482582 0.18000000715255737 0.029999999329447746 2.450000047683716 36.099998474121094 0.0
3.0 25.628700256347656 36.092498779296875 4.699999809265137 3.0199999809265137 0.019999999552965164 0.18000000715255737 0.029999999329447746 2.4200000762939453 36.0989990234375 0.0
4.0 25.6289005279541 36.092498779296875 4.909999847412109 4.0269999504089355 0.009999999776482582 0.10000000149011612 0.029999999329447746 2.440000057220459 36.0989990234375 0.0
4.0 25.630199432373047 36.092498779296875 4.889999866485596 4.53000020980835 0.019999999552965164 0.05000000074505806 0.029999999329447746 2.2899999618530273 36.09400177001953 0.0
5.0 25.630599975585938 36.09239959716797 3.359999895095825 5.5370001792907715 0.029999999329447746 5.590000152587891 0.1599999964237213 3.559999942779541 36.4109992980957 0.0
5.0 25.631099700927734 36.092498779296875 4.460000038146973 5.033999919891357 0.07999999821186066 0.75 0.07000000029802322 2.5899999141693115 36.279998779296875 0.0
6.0 25.629199981689453 36.09239959716797 2.880000114440918 6.039999961853027 0.009999999776482582 12.899999618530273 0.6899999976158142 5.019999980926514 36.345001220703125 0.0
6.0 25.6294002532959 36.092498779296875 2.759999990463257 6.544000148773193 0.009999999776482582 16.940000534057617 0.9599999785423279 7.079999923706055 36.064998626708984 0.0
7.0 25.627700805664062 36.09260177612305 7.551000118255615 0.0
7.0 25.62849998474121 36.092498779296875 2.740000009536743 7.046999931335449 0.019999999552965164 19.920000076293945 1.1699999570846558 9.25 35.74700164794922 0.0
8.0 25.629100799560547 36.09270095825195 8.053999900817871 0.0
8.0 25.630599975585938 36.09280014038086 8.557000160217285 0.0
9.0 25.630699157714844 36.09270095825195 9.060999870300293 0.0
9.0 25.632099151611328 36.09280014038086 9.564000129699707 0.0
10.0 25.631799697875977 36.09280014038086 10.571000099182129 0.0
10.0 25.634000778198242 36.09260177612305 10.067999839782715 0.0
11.0 25.632999420166016 36.09270095825195 11.074000358581543 0.0
11.0 25.633800506591797 36.092899322509766 11.57800006866455 0.0
12.0 25.634899139404297 36.09280014038086 12.081000328063965 0.0
12.0 25.635099411010742 36.09270095825195 12.585000038146973 0.0
13.0 25.633800506591797 36.09239959716797 13.590999603271484 0.0
13.0 25.63479995727539 36.092498779296875 13.088000297546387 0.0
14.0 25.63409996032715 36.09230041503906 14.095000267028809 0.0
14.0 25.635099411010742 36.09280014038086 14.597999572753906 0.0
15.0 25.633399963378906 36.09270095825195 15.604999542236328 0.0
15.0 25.635299682617188 36.09260177612305 15.10200023651123 0.0
16.0 25.630800247192383 36.09270095825195 16.61199951171875 0.0
16.0 25.630800247192383 36.09299850463867 16.107999801635742 0.0
17.0 25.62969970703125 36.09280014038086 17.618999481201172 0.0
17.0 25.630300521850586 36.09280014038086 17.114999771118164 0.0
18.0 25.629600524902344 36.09299850463867 18.121999740600586 0.0
18.0 25.63010025024414 36.093101501464844 18.625 0.0
19.0 25.630399703979492 36.092899322509766 19.128999710083008 0.0
19.0 25.63089942932129 36.092899322509766 19.631999969482422 0.0
20.0 25.631099700927734 36.09280014038086 20.13599967956543 0.0
20.0 25.631900787353516 36.09270095825195 20.638999938964844 0.0
21.0 25.632099151611328 36.09260177612305 21.142000198364258 0.0
21.0 25.632200241088867 36.09270095825195 21.645999908447266 0.0
22.0 25.632200241088867 36.09270095825195 22.14900016784668 0.0
22.0 25.63249969482422 36.09260177612305 22.652999877929688 0.0
23.0 25.632600784301758 36.09239959716797 23.65999984741211 0.0
23.0 25.632699966430664 36.09260177612305 23.1560001373291 0.0
24.0 25.63279914855957 36.09260177612305 24.163000106811523 0.0
24.0 25.632999420166016 36.09270095825195 24.666000366210938 0.0
25.0 25.63319969177246 36.09280014038086 25.170000076293945 0.0
25.0 25.634000778198242 36.09260177612305 25.67300033569336 0.0
26.0 25.634000778198242 36.09239959716797 26.68000030517578 0.0
26.0 25.634000778198242 36.092498779296875 26.177000045776367 0.0
27.0 25.633899688720703 36.09230041503906 27.687000274658203 0.0
27.0 25.633899688720703 36.09239959716797 27.18400001525879 0.0
28.0 25.634300231933594 36.092498779296875 28.190000534057617 0.0
28.0 25.635099411010742 36.09270095825195 28.694000244140625 0.0
29.0 25.635700225830078 36.09270095825195 29.19700050354004 0.0
29.0 25.636499404907227 36.09280014038086 29.701000213623047 0.0
30.0 25.63800048828125 36.093101501464844 30.20400047302246 0.0
30.0 25.638200759887695 36.09299850463867 30.70800018310547 0.0
31.0 25.636499404907227 36.09239959716797 31.71500015258789 0.0
31.0 25.63680076599121 36.09239959716797 31.211000442504883 0.0
32.0 25.63629913330078 36.09270095825195 32.72100067138672 0.0
32.0 25.63640022277832 36.09270095825195 32.21799850463867 0.0
33.0 25.636600494384766 36.092498779296875 33.224998474121094 0.0
33.0 25.636699676513672 36.092098236083984 33.72800064086914 0.0
34.0 25.63680076599121 36.09280014038086 34.231998443603516 0.0
34.0 25.636999130249023 36.09270095825195 34.73500061035156 0.0
35.0 25.63680076599121 36.09239959716797 35.742000579833984 0.0
35.0 25.636899948120117 36.092498779296875 35.23899841308594 0.0
36.0 25.63629913330078 36.09239959716797 36.749000549316406 0.0
36.0 25.637100219726562 36.09239959716797 36.24599838256836 0.0
37.0 25.636199951171875 36.09260177612305 37.25299835205078 0.0
37.0 25.63640022277832 36.09260177612305 37.75600051879883 0.0
38.0 25.637300491333008 36.092899322509766 38.25899887084961 0.0
38.0 25.638200759887695 36.09299850463867 38.76300048828125 0.0
39.0 25.637300491333008 36.092498779296875 39.77000045776367 0.0
39.0 25.637399673461914 36.09270095825195 39.26599884033203 0.0
40.0 25.637399673461914 36.09270095825195 40.27299880981445 0.0
40.0 25.63800048828125 36.09239959716797 40.777000427246094 0.0
41.0 25.635900497436523 36.092201232910156 41.784000396728516 0.0
41.0 25.636699676513672 36.09189987182617 41.279998779296875 0.0
42.0 25.637300491333008 36.09199905395508 42.79100036621094 0.0
42.0 25.637800216674805 36.092899322509766 42.2869987487793 0.0
43.0 25.636499404907227 36.09239959716797 43.79800033569336 0.0
43.0 25.636699676513672 36.092201232910156 43.29399871826172 0.0
44.0 25.63629913330078 36.09199905395508 44.80500030517578 0.0
44.0 25.63629913330078 36.092201232910156 44.30099868774414 0.0
45.0 25.635900497436523 36.09230041503906 45.81100082397461 0.0
45.0 25.63599967956543 36.09189987182617 45.30799865722656 0.0
46.0 25.63450050354004 36.09189987182617 46.314998626708984 0.0
46.0 25.63450050354004 36.092098236083984 46.81800079345703 0.0
47.0 25.634000778198242 36.09189987182617 47.82500076293945 0.0
47.0 25.63520050048828 36.09230041503906 47.321998596191406 0.0
48.0 25.61590003967285 36.089698791503906 48.832000732421875 0.0
48.0 25.624500274658203 36.09049987792969 48.32899856567383 0.0
49.0 25.599300384521484 36.088199615478516 49.8390007019043 0.0
49.0 25.623300552368164 36.09040069580078 49.33599853515625 0.0
50.0 25.595399856567383 36.08810043334961 50.84600067138672 0.0
50.0 25.596799850463867 36.088401794433594 50.34299850463867 0.0
51.0 25.59239959716797 36.08769989013672 51.85300064086914 0.0
51.0 25.59269905090332 36.08760070800781 51.349998474121094 0.0
52.0 25.57270050048828 36.083900451660156 52.86000061035156 0.0
52.0 25.592500686645508 36.08760070800781 52.356998443603516 0.0
53.0 25.49920082092285 36.07379913330078 53.867000579833984 0.0
53.0 25.542499542236328 36.07979965209961 53.36399841308594 0.0
54.0 25.4414005279541 36.063899993896484 54.874000549316406 0.0
54.0 25.471200942993164 36.068199157714844 54.37099838256836 0.0
55.0 25.392000198364258 36.05939865112305 55.88100051879883 0.0
55.0 25.406099319458008 36.060298919677734 55.37799835205078 0.0
56.0 25.371599197387695 36.0619010925293 56.88800048828125 0.0
56.0 25.38290023803711 36.059200286865234 56.3849983215332 0.0
57.0 25.366500854492188 36.065399169921875 57.89500045776367 0.0
57.0 25.368499755859375 36.063899993896484 57.391998291015625 0.0
58.0 25.357099533081055 36.06850051879883 58.902000427246094 0.0
58.0 25.363000869750977 36.066898345947266 58.39899826049805 0.0
59.0 25.343599319458008 36.07270050048828 59.909000396728516 0.0
59.0 25.350900650024414 36.07059860229492 59.40599822998047 0.0
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240.0 14.22070026397705 35.85029983520508 242.26100158691406 0.0
240.0 14.255900382995605 35.855899810791016 241.75799560546875 0.0
241.0 14.182299613952637 35.84450149536133 243.2689971923828 0.0
241.0 14.197500228881836 35.84749984741211 242.76499938964844 0.0
242.0 14.15779972076416 35.84040069580078 243.7729949951172 0.0
242.0 14.220800399780273 35.85029983520508 244.27699279785156 0.0
243.0 14.125900268554688 35.83700180053711 245.28500366210938 0.0
243.0 14.137499809265137 35.8385009765625 244.781005859375 0.0
244.0 14.116499900817871 35.83509826660156 246.29299926757812 0.0
244.0 14.119799613952637 35.83570098876953 245.78900146484375 0.0
245.0 14.098099708557129 35.83209991455078 247.30099487304688 0.0
245.0 14.110400199890137 35.83409881591797 246.7969970703125 0.0
246.0 14.078399658203125 35.82899856567383 248.3090057373047 0.0
246.0 14.088399887084961 35.83089828491211 247.80499267578125 0.0
247.0 14.070599555969238 35.82780075073242 248.81300354003906 0.0
247.0 14.115599632263184 35.834800720214844 249.31700134277344 0.0
248.0 14.01609992980957 35.819801330566406 250.3249969482422 0.0
248.0 14.035699844360352 35.82229995727539 249.8209991455078 0.0
249.0 13.928899765014648 35.805999755859375 251.33299255371094 0.0
249.0 13.969300270080566 35.8119010925293 250.82899475097656 0.0
250.0 13.881999969482422 35.797000885009766 252.34100341796875 0.0
250.0 13.897199630737305 35.80059814453125 251.83700561523438 0.0
251.0 13.858499526977539 35.79460144042969 253.3489990234375 0.0
251.0 13.866399765014648 35.795799255371094 252.84500122070312 0.0
252.0 13.848899841308594 35.79359817504883 254.35699462890625 0.0
252.0 13.852100372314453 35.793701171875 253.85299682617188 0.0
253.0 13.833100318908691 35.79069900512695 255.36500549316406 0.0
253.0 13.84630012512207 35.7932014465332 254.86099243164062 0.0
254.0 13.726200103759766 35.77410125732422 256.37298583984375 0.0
254.0 13.772600173950195 35.78179931640625 255.86900329589844 0.0
255.0 13.67240047454834 35.765499114990234 257.3810119628906 0.0
255.0 13.704400062561035 35.77050018310547 256.87701416015625 0.0
256.0 13.625100135803223 35.758201599121094 258.3890075683594 0.0
256.0 13.643099784851074 35.76139831542969 257.885009765625 0.0
257.0 13.578700065612793 35.750999450683594 259.3970031738281 0.0
257.0 13.589599609375 35.752201080322266 258.89300537109375 0.0
258.0 13.570899963378906 35.7495002746582 259.9010009765625 0.0
258.0 13.573699951171875 35.750999450683594 260.4049987792969 0.0
259.0 13.532299995422363 35.74549865722656 261.4129943847656 0.0
259.0 13.566699981689453 35.7495002746582 260.90899658203125 0.0
260.0 13.528800010681152 35.74470138549805 261.9169921875 0.0
260.0 13.531700134277344 35.74480056762695 262.4209899902344 0.0
261.0 13.521100044250488 35.743499755859375 263.4289855957031 0.0
261.0 13.527600288391113 35.74399948120117 262.92498779296875 0.0
262.0 13.52239990234375 35.74380111694336 263.9330139160156 0.0
262.0 13.525799751281738 35.74409866333008 264.43701171875 0.0
263.0 13.53339958190918 35.74480056762695 264.9410095214844 0.0

In total, there are 523 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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