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Dataset Title:	"Deepwater CTD - 03259978.ctd.nc - 27.67N, -85.65W - 1979-02-14"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03259978_ctd)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 85)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

depth	= (ANY) 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 46.0 48.0 50.0 52.0 54.0 56.0 58.0 60.0 62.0 64.0 66.0 68.0 70.0 72.0 74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0 92.0 94.0 96.0 98.0 100.0 102.0 104.0 106.0 108.0 110.0 112.0 114.0 116.0 118.0 120.0 122.0 124.0 126.0 128.0 130.0 132.0 134.0 136.0 138.0 140.0 142.0 144.0 146.0 148.0 150.0 152.0 154.0 156.0 158.0 160.0 162.0 164.0 166.0 168.0  m	85 options
temperature	= (ANY) 15.23900032043457 15.300999641418457 15.343999862670898 15.366999626159668 15.399999618530273 15.472000122070312 15.532999992370605 15.574999809265137 15.633999824523926 15.72599983215332 15.817999839782715 15.906999588012695 16.0 16.124000549316406 16.24799919128418 16.325000762939453 16.384000778198242 16.44499969482422 16.55900001525879 16.690000534057617 16.757999420166016 16.808000564575195 16.87700080871582 16.933000564575195 17.018999099731445 17.11400032043457 17.17300033569336 17.239999771118164 17.356000900268555 17.493999481201172 17.57900047302246 17.628000259399414 17.72800064086914 17.808000564575195 17.844999313354492 17.981000900268555 18.075000762939453 18.145000457763672 18.253999710083008 18.399999618530273 18.570999145507812 18.687999725341797 18.847000122070312 19.016000747680664 19.17300033569336 19.334999084472656 19.492000579833984 19.64900016784668 19.756999969482422 19.836000442504883 19.948999404907227 20.07200050354004 20.211999893188477 20.34000015258789 20.413999557495117 20.479999542236328 20.611000061035156 20.76300048828125 20.847999572753906 20.878000259399414 20.898000717163086 20.91699981689453 20.93899917602539 20.952999114990234 20.961999893188477 20.97599983215332 20.996000289916992 21.011999130249023 21.020999908447266 21.02400016784668 21.02899932861328 21.033000946044922 21.04400062561035 21.073999404907227 21.1299991607666 21.256000518798828 21.482999801635742 21.840999603271484 22.18400001525879 22.31599998474121 22.336999893188477 22.360000610351562 22.39900016784668 22.45400047302246  degree_C	84 options
salinity	= (ANY) 36.02399826049805 36.02799987792969 36.040000915527344 36.04499816894531 36.04999923706055 36.06399917602539 36.06700134277344 36.082000732421875 36.099998474121094 36.11899948120117 36.12799835205078 36.13399887084961 36.159000396728516 36.17900085449219 36.18600082397461 36.1879997253418 36.20199966430664 36.224998474121094 36.2400016784668 36.24599838256836 36.25600051879883 36.257999420166016 36.27199935913086 36.29800033569336 36.314998626708984 36.31700134277344 36.31999969482422 36.33100128173828 36.334999084472656 36.33599853515625 36.34000015258789 36.34400177001953 36.34700012207031 36.35100173950195 36.369998931884766 36.37099838256836 36.375 36.380001068115234 36.39400100708008 36.395999908447266 36.39899826049805 36.40700149536133 36.4119987487793 36.417999267578125 36.42399978637695 36.428001403808594 36.43299865722656 36.43600082397461 36.4370002746582 36.4379997253418 36.439998626708984 36.44200134277344 36.444000244140625 36.44499969482422 36.448001861572266 36.45199966430664 36.45399856567383 36.457000732421875 36.46099853515625 36.46500015258789 36.472999572753906 36.48099899291992 36.486000061035156 36.49800109863281 36.50299835205078 36.512001037597656 36.516998291015625 36.527000427246094 36.53499984741211 36.540000915527344 36.54399871826172 36.54600143432617 36.547000885009766  PSU	73 options
oxygen	= (ANY) 2.609999895095825 2.7699999809265137 2.7899999618530273 2.940000057220459 2.9800000190734863 3.1500000953674316 3.3499999046325684 3.640000104904175 4.579999923706055 4.670000076293945 4.840000152587891 4.980000019073486  milliliters per liter	13 options
nitrite	= (ANY) -99.98999786376953 0.11999999731779099 0.2199999988079071 0.3199999928474426 0.5199999809265137 0.7200000286102295  micromols	7 options
nitrate	= (ANY) -99.98999786376953 0.10000000149011612 0.30000001192092896 3.799999952316284 6.300000190734863 9.600000381469727 15.399999618530273 20.399999618530273 24.600000381469727 25.899999618530273 27.200000762939453  micromols	12 options
phosphate	= (ANY) -99.98999786376953 0.009999999776482582 0.019999999552965164 0.05000000074505806 0.20000000298023224 0.3199999928474426 0.5 0.7900000214576721 1.090000033378601 1.440000057220459 1.5499999523162842 1.590000033378601  micromols	13 options
silicate	= (ANY) 0.20000000298023224 0.699999988079071 0.8999999761581421 1.2000000476837158 1.5 1.7999999523162842 2.5 4.0 6.400000095367432 12.5 13.0 13.5  micromols	13 options
salinity2	= (ANY) -99.0  PSU	2 options
qualityFlag	= (ANY) 0.0	1 option: 0.0

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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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.
 

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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.
 

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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	micromols	micromols	micromols	PSU
0.0	22.45400047302246	36.33599853515625	4.579999923706055	-99.98999786376953	-99.98999786376953	-99.98999786376953	0.20000000298023224	-99.0	0.0
2.0	22.45400047302246	36.33599853515625	4.670000076293945	-99.98999786376953	0.10000000149011612	0.009999999776482582	0.699999988079071	-99.0	0.0
4.0	22.39900016784668	36.33100128173828	4.980000019073486	-99.98999786376953	-99.98999786376953	0.019999999552965164	0.8999999761581421	-99.0	0.0
6.0	22.360000610351562	36.334999084472656	4.840000152587891	0.3199999928474426	0.30000001192092896	0.05000000074505806	1.2000000476837158	-99.0	0.0
8.0	22.336999893188477	36.34000015258789	3.640000104904175	0.5199999809265137	3.799999952316284	0.20000000298023224	1.5	-99.0	0.0
10.0	22.31599998474121	36.34400177001953	3.3499999046325684	0.3199999928474426	6.300000190734863	0.3199999928474426	1.7999999523162842	-99.0	0.0
12.0	22.18400001525879	36.35100173950195	3.1500000953674316	0.2199999988079071	9.600000381469727	0.5	2.5	-99.0	0.0
14.0	21.840999603271484	36.380001068115234	2.9800000190734863	0.11999999731779099	15.399999618530273	0.7900000214576721	4.0	-99.0	0.0
16.0	21.482999801635742	36.40700149536133	2.940000057220459	0.11999999731779099	20.399999618530273	1.090000033378601	6.400000095367432	-99.0	0.0
18.0	21.256000518798828	36.417999267578125	2.7899999618530273	0.7200000286102295	24.600000381469727	1.440000057220459	13.5	-99.0	0.0
20.0	21.1299991607666	36.42399978637695	2.609999895095825	-99.98999786376953	27.200000762939453	1.590000033378601	12.5	-99.0	0.0
22.0	21.073999404907227	36.428001403808594	2.7699999809265137	0.2199999988079071	25.899999618530273	1.5499999523162842	13.0	-99.0	0.0
24.0	21.04400062561035	36.43600082397461							0.0
26.0	21.033000946044922	36.4370002746582							0.0
28.0	21.02899932861328	36.4370002746582							0.0
30.0	21.02400016784668	36.4379997253418							0.0
32.0	21.020999908447266	36.4379997253418							0.0
34.0	21.011999130249023	36.4370002746582							0.0
36.0	20.996000289916992	36.43600082397461							0.0
38.0	20.97599983215332	36.43600082397461							0.0
40.0	20.961999893188477	36.4370002746582							0.0
42.0	20.952999114990234	36.439998626708984							0.0
44.0	20.93899917602539	36.439998626708984							0.0
46.0	20.91699981689453	36.44200134277344							0.0
48.0	20.898000717163086	36.444000244140625							0.0
50.0	20.878000259399414	36.448001861572266							0.0
52.0	20.847999572753906	36.45199966430664							0.0
54.0	20.76300048828125	36.45399856567383							0.0
56.0	20.611000061035156	36.46099853515625							0.0
58.0	20.479999542236328	36.48099899291992							0.0
60.0	20.413999557495117	36.50299835205078							0.0
62.0	20.34000015258789	36.516998291015625							0.0
64.0	20.211999893188477	36.53499984741211							0.0
66.0	20.07200050354004	36.54600143432617							0.0
68.0	19.948999404907227	36.547000885009766							0.0
70.0	19.836000442504883	36.540000915527344							0.0
72.0	19.756999969482422	36.54399871826172							0.0
74.0	19.64900016784668	36.540000915527344							0.0
76.0	19.492000579833984	36.527000427246094							0.0
78.0	19.334999084472656	36.512001037597656							0.0
80.0	19.17300033569336	36.49800109863281							0.0
82.0	19.016000747680664	36.486000061035156							0.0
84.0	18.847000122070312	36.472999572753906							0.0
86.0	18.687999725341797	36.46500015258789							0.0
88.0	18.570999145507812	36.457000732421875							0.0
90.0	18.399999618530273	36.44499969482422							0.0
92.0	18.253999710083008	36.43299865722656							0.0
94.0	18.145000457763672	36.417999267578125							0.0
96.0	18.075000762939453	36.4119987487793							0.0
98.0	17.981000900268555	36.39899826049805							0.0
100.0	17.844999313354492	36.395999908447266							0.0
102.0	17.808000564575195	36.39400100708008							0.0
104.0	17.72800064086914	36.375							0.0
106.0	17.628000259399414	36.369998931884766							0.0
108.0	17.57900047302246	36.37099838256836							0.0
110.0	17.493999481201172	36.34700012207031							0.0
112.0	17.356000900268555	36.31999969482422							0.0
114.0	17.239999771118164	36.31700134277344							0.0
116.0	17.17300033569336	36.314998626708984							0.0
118.0	17.11400032043457	36.29800033569336							0.0
120.0	17.018999099731445	36.27199935913086							0.0
122.0	16.933000564575195	36.257999420166016							0.0
124.0	16.87700080871582	36.25600051879883							0.0
126.0	16.808000564575195	36.24599838256836							0.0
128.0	16.757999420166016	36.2400016784668							0.0
130.0	16.690000534057617	36.224998474121094							0.0
132.0	16.55900001525879	36.20199966430664							0.0
134.0	16.44499969482422	36.18600082397461							0.0
136.0	16.384000778198242	36.1879997253418							0.0
138.0	16.325000762939453	36.17900085449219							0.0
140.0	16.24799919128418	36.159000396728516							0.0
142.0	16.124000549316406	36.13399887084961							0.0
144.0	16.0	36.12799835205078							0.0
146.0	15.906999588012695	36.11899948120117							0.0
148.0	15.817999839782715	36.099998474121094							0.0
150.0	15.72599983215332	36.082000732421875							0.0
152.0	15.633999824523926	36.06700134277344							0.0
154.0	15.574999809265137	36.06700134277344							0.0
156.0	15.532999992370605	36.06399917602539							0.0
158.0	15.472000122070312	36.04999923706055							0.0
160.0	15.399999618530273	36.040000915527344							0.0
162.0	15.366999626159668	36.04499816894531							0.0
164.0	15.343999862670898	36.040000915527344							0.0
166.0	15.300999641418457	36.02799987792969							0.0
168.0	15.23900032043457	36.02399826049805							0.0

In total, there are 85 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.
 

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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.
 

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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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