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Dataset Title:  "Deepwater CTD - d94i053.ctd.nc - 27.66N, -93.0W - 1994-07-31" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i053_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: 607)
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   304 options
    temperature ?  =  degree_C   601 options
    salinity ?  =  PSU   574 options
    oxygen ?  =  milliliters per liter   13 options
    pressure ?  =  decibars   607 options
    nitrite ?  =  micromols   8 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   9 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   2 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
1.0 29.2273006439209 36.197601318359375 4.639999866485596 1.5099999904632568 0.0 0.05999999865889549 0.009999999776482582 1.7999999523162842 -9.0 0.0
2.0 29.226600646972656 36.19820022583008 4.940000057220459 2.5169999599456787 0.019999999552965164 0.029999999329447746 0.009999999776482582 1.190000057220459 -9.0 0.0
2.0 29.23240089416504 36.19660186767578 4.630000114440918 2.013000011444092 0.029999999329447746 0.019999999552965164 0.009999999776482582 1.7100000381469727 -9.0 0.0
3.0 29.2322998046875 36.196998596191406 5.099999904632568 3.0199999809265137 0.009999999776482582 0.10999999940395355 0.019999999552965164 1.75 -9.0 0.0
3.0 29.234399795532227 36.197200775146484 5.119999885559082 3.5239999294281006 0.019999999552965164 0.09000000357627869 0.019999999552965164 0.9599999785423279 -9.0 0.0
4.0 29.23419952392578 36.19729995727539 4.170000076293945 4.53000020980835 0.1599999964237213 2.430000066757202 0.10999999940395355 2.809999942779541 -9.0 0.0
4.0 29.234699249267578 36.197601318359375 4.690000057220459 4.0269999504089355 0.05999999865889549 0.2199999988079071 0.019999999552965164 1.090000033378601 -9.0 0.0
5.0 29.232999801635742 36.19649887084961 2.890000104904175 5.5370001792907715 0.03999999910593033 14.600000381469727 0.800000011920929 4.880000114440918 -9.0 0.0
5.0 29.232999801635742 36.19649887084961 3.0299999713897705 5.033999919891357 0.03999999910593033 11.34000015258789 0.5899999737739563 4.059999942779541 -9.0 0.0
6.0 29.23200035095215 36.1968994140625 2.640000104904175 6.544000148773193 0.029999999329447746 23.760000228881836 1.440000057220459 11.239999771118164 -9.0 0.0
6.0 29.23310089111328 36.19660186767578 2.75 6.039999961853027 0.029999999329447746 19.459999084472656 1.1299999952316284 8.239999771118164 -9.0 0.0
7.0 29.231599807739258 36.197200775146484 7.551000118255615 0.0
7.0 29.23240089416504 36.1968994140625 2.700000047683716 7.046999931335449 0.03999999910593033 26.239999771118164 1.6399999856948853 13.8100004196167 -9.0 0.0
8.0 29.232200622558594 36.1974983215332 8.053999900817871 0.0
8.0 29.2322998046875 36.1974983215332 8.557000160217285 0.0
9.0 29.23200035095215 36.1973991394043 9.060999870300293 0.0
9.0 29.232900619506836 36.197601318359375 9.564000129699707 0.0
10.0 29.233400344848633 36.198001861572266 10.067999839782715 0.0
10.0 29.233699798583984 36.19850158691406 10.571000099182129 0.0
11.0 29.231700897216797 36.196800231933594 11.57800006866455 0.0
11.0 29.233699798583984 36.19839859008789 11.074000358581543 0.0
12.0 29.231000900268555 36.19660186767578 12.081000328063965 0.0
12.0 29.233999252319336 36.19810104370117 12.585000038146973 0.0
13.0 29.232900619506836 36.197898864746094 13.590999603271484 0.0
13.0 29.23349952697754 36.198299407958984 13.088000297546387 0.0
14.0 29.236000061035156 36.200401306152344 14.095000267028809 0.0
14.0 29.236099243164062 36.20109939575195 14.597999572753906 0.0
15.0 29.23550033569336 36.20069885253906 15.604999542236328 0.0
15.0 29.236799240112305 36.201698303222656 15.10200023651123 0.0
16.0 29.234100341796875 36.20000076293945 16.61199951171875 0.0
16.0 29.23699951171875 36.20159912109375 16.107999801635742 0.0
17.0 29.237600326538086 36.20330047607422 17.618999481201172 0.0
17.0 29.23780059814453 36.20349884033203 17.114999771118164 0.0
18.0 29.248699188232422 36.21149826049805 18.121999740600586 0.0
18.0 29.27079963684082 36.22489929199219 18.625 0.0
19.0 29.270700454711914 36.224700927734375 19.128999710083008 0.0
19.0 29.28030014038086 36.230098724365234 19.631999969482422 0.0
20.0 29.27910041809082 36.22880172729492 20.13599967956543 0.0
20.0 29.28459930419922 36.234500885009766 20.638999938964844 0.0
21.0 29.284000396728516 36.23320007324219 21.645999908447266 0.0
21.0 29.297000885009766 36.24079895019531 21.142000198364258 0.0
22.0 29.29050064086914 36.23780059814453 22.14900016784668 0.0
22.0 29.303499221801758 36.247798919677734 22.652999877929688 0.0
23.0 29.280099868774414 36.265499114990234 23.65999984741211 0.0
23.0 29.305200576782227 36.253299713134766 23.1560001373291 0.0
24.0 29.1781005859375 36.27830123901367 24.666000366210938 0.0
24.0 29.215299606323242 36.28089904785156 24.163000106811523 0.0
25.0 28.710100173950195 36.24039840698242 25.67300033569336 0.0
25.0 28.999000549316406 36.275699615478516 25.170000076293945 0.0
26.0 28.3612003326416 36.24190139770508 26.68000030517578 0.0
26.0 28.48509979248047 36.23870086669922 26.177000045776367 0.0
27.0 28.32029914855957 36.24509811401367 27.687000274658203 0.0
27.0 28.323699951171875 36.24420166015625 27.18400001525879 0.0
28.0 28.229999542236328 36.2484016418457 28.694000244140625 0.0
28.0 28.287399291992188 36.24380111694336 28.190000534057617 0.0
29.0 28.126300811767578 36.25960159301758 29.701000213623047 0.0
29.0 28.17180061340332 36.25080108642578 29.19700050354004 0.0
30.0 28.105100631713867 36.265098571777344 30.70800018310547 0.0
30.0 28.11549949645996 36.26350021362305 30.20400047302246 0.0
31.0 27.92329978942871 36.25859832763672 31.71500015258789 0.0
31.0 28.053699493408203 36.26639938354492 31.211000442504883 0.0
32.0 27.59239959716797 36.23680114746094 32.72100067138672 0.0
32.0 27.69409942626953 36.240299224853516 32.21799850463867 0.0
33.0 27.513599395751953 36.225799560546875 33.72800064086914 0.0
33.0 27.558500289916992 36.23440170288086 33.224998474121094 0.0
34.0 27.030799865722656 36.17219924926758 34.73500061035156 0.0
34.0 27.40169906616211 36.20949935913086 34.231998443603516 0.0
35.0 26.22170066833496 36.17890167236328 35.742000579833984 0.0
35.0 26.559499740600586 36.14789962768555 35.23899841308594 0.0
36.0 26.021299362182617 36.2328987121582 36.749000549316406 0.0
36.0 26.07859992980957 36.21649932861328 36.24599838256836 0.0
37.0 25.95549964904785 36.20790100097656 37.75600051879883 0.0
37.0 26.010799407958984 36.226898193359375 37.25299835205078 0.0
38.0 25.755300521850586 36.1697998046875 38.76300048828125 0.0
38.0 25.834999084472656 36.186100006103516 38.25899887084961 0.0
39.0 25.73200035095215 36.185699462890625 39.77000045776367 0.0
39.0 25.73419952392578 36.17150115966797 39.26599884033203 0.0
40.0 25.682300567626953 36.174400329589844 40.777000427246094 0.0
40.0 25.73240089416504 36.18960189819336 40.27299880981445 0.0
41.0 25.516599655151367 36.122398376464844 41.784000396728516 0.0
41.0 25.58970069885254 36.13970184326172 41.279998779296875 0.0
42.0 25.443899154663086 36.12950134277344 42.79100036621094 0.0
42.0 25.502199172973633 36.135501861572266 42.2869987487793 0.0
43.0 25.31760025024414 36.10369873046875 43.79800033569336 0.0
43.0 25.422800064086914 36.125099182128906 43.29399871826172 0.0
44.0 25.197200775146484 36.06549835205078 44.80500030517578 0.0
44.0 25.27680015563965 36.09550094604492 44.30099868774414 0.0
45.0 24.79960060119629 35.98780059814453 45.81100082397461 0.0
45.0 24.956600189208984 36.013301849365234 45.30799865722656 0.0
46.0 24.271900177001953 35.85960006713867 46.81800079345703 0.0
46.0 24.774099349975586 35.97079849243164 46.314998626708984 0.0
47.0 23.78230094909668 35.79629898071289 47.82500076293945 0.0
47.0 23.993600845336914 35.8114013671875 47.321998596191406 0.0
48.0 23.453800201416016 35.825401306152344 48.832000732421875 0.0
48.0 23.54640007019043 35.772300720214844 48.32899856567383 0.0
49.0 23.29759979248047 35.89759826660156 49.8390007019043 0.0
49.0 23.300899505615234 35.876800537109375 49.33599853515625 0.0
50.0 23.302000045776367 35.99480056762695 50.84600067138672 0.0
50.0 23.315900802612305 35.94169998168945 50.34299850463867 0.0
51.0 23.235000610351562 36.02579879760742 51.85300064086914 0.0
51.0 23.26099967956543 36.01279830932617 51.349998474121094 0.0
52.0 23.18199920654297 36.05590057373047 52.86000061035156 0.0
52.0 23.197799682617188 36.04669952392578 52.356998443603516 0.0
53.0 23.154300689697266 36.067501068115234 53.867000579833984 0.0
53.0 23.169599533081055 36.058799743652344 53.36399841308594 0.0
54.0 23.077899932861328 36.05619812011719 54.874000549316406 0.0
54.0 23.14859962463379 36.07059860229492 54.37099838256836 0.0
55.0 22.909900665283203 36.00699996948242 55.88100051879883 0.0
55.0 23.005300521850586 36.034698486328125 55.37799835205078 0.0
56.0 22.614999771118164 35.98830032348633 56.88800048828125 0.0
56.0 22.724300384521484 35.98970031738281 56.3849983215332 0.0
57.0 22.095500946044922 35.91529846191406 57.89500045776367 0.0
57.0 22.269500732421875 35.94990158081055 57.391998291015625 0.0
58.0 21.7987003326416 35.91960144042969 58.902000427246094 0.0
58.0 21.908300399780273 35.908199310302734 58.39899826049805 0.0
59.0 21.774900436401367 35.97890090942383 59.909000396728516 0.0
59.0 21.827499389648438 35.94940185546875 59.40599822998047 0.0
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60.0 21.798900604248047 36.050899505615234 60.91600036621094 0.0
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62.0 21.48080062866211 36.03219985961914 62.426998138427734 0.0
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64.0 21.1112003326416 36.097900390625 64.94499969482422 0.0
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298.0 10.632499694824219 35.31439971923828 300.2250061035156 0.0
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299.0 10.625699996948242 35.313499450683594 301.73699951171875 0.0
299.0 10.626299858093262 35.31370162963867 301.2330017089844 0.0
300.0 10.622599601745605 35.313201904296875 302.7449951171875 0.0
300.0 10.62559986114502 35.31340026855469 302.2409973144531 0.0
301.0 10.620599746704102 35.31290054321289 303.2489929199219 0.0
301.0 10.620800018310547 35.313201904296875 303.75299072265625 0.0
302.0 10.621100425720215 35.31290054321289 304.7619934082031 0.0
302.0 10.621800422668457 35.3130989074707 304.2569885253906 0.0
303.0 10.620400428771973 35.312599182128906 305.7699890136719 0.0
303.0 10.620499610900879 35.31290054321289 305.2659912109375 0.0
304.0 10.61709976196289 35.312198638916016 306.77801513671875 0.0
304.0 10.61929988861084 35.312400817871094 306.27398681640625 0.0

In total, there are 607 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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