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Dataset Title:	"Deepwater CTD - 87g1130.ctd.nc - 27.67N, -95.49W - 1987-11-24"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_87g1130_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) 8.0 13.0 16.0 22.0 28.0 33.0 37.0 42.0 47.0 53.0 58.0 62.0 67.0 72.0 77.0 83.0 87.0 92.0 97.0 102.0 108.0 112.0 117.0 122.0 127.0 132.0 138.0 142.0 148.0 152.0 158.0 162.0 167.0 172.0 177.0 183.0 187.0 192.0 197.0 203.0 207.0 212.0 217.0 222.0 228.0 232.0 237.0 242.0 247.0 252.0 257.0 262.0 267.0 272.0 277.0 282.0 287.0 292.0 297.0 303.0 308.0 312.0 317.0 322.0 327.0 332.0 337.0 342.0 347.0 352.0 357.0 362.0 367.0 372.0 377.0 382.0 387.0 392.0 397.0 403.0 407.0 413.0 417.0 422.0 426.0  m	85 options
temperature	= (ANY) 10.791999816894531 10.809000015258789 10.824999809265137 10.885000228881836 10.968000411987305 11.027000427246094 11.098999977111816 11.156999588012695 11.208000183105469 11.210000038146973 11.223999977111816 11.251999855041504 11.425999641418457 11.480999946594238 11.630000114440918 11.779999732971191 11.871999740600586 12.079999923706055 12.163000106811523 12.22599983215332 12.324999809265137 12.418999671936035 12.46399974822998 12.51200008392334 12.579000473022461 12.668000221252441 12.8100004196167 13.01200008392334 13.170999526977539 13.29800033569336 13.467000007629395 13.595000267028809 13.72599983215332 13.958000183105469 14.057999610900879 14.163000106811523 14.26200008392334 14.35200023651123 14.425999641418457 14.538000106811523 14.718999862670898 14.897000312805176 15.024999618530273 15.180999755859375 15.335000038146973 15.522000312805176 15.682000160217285 15.819000244140625 15.923999786376953 16.014999389648438 16.194000244140625 16.503000259399414 16.632999420166016 16.743999481201172 16.889999389648438 17.06999969482422 17.385000228881836 17.674999237060547 18.040000915527344 18.45199966430664 19.141000747680664 19.555999755859375 19.881000518798828 20.416000366210938 21.135000228881836 21.54599952697754 21.625999450683594 22.114999771118164 22.466999053955078 22.68199920654297 23.323999404907227 23.816999435424805 23.98699951171875 24.035999298095703 24.03700065612793 24.038000106811523 24.040000915527344 24.041000366210938 24.04400062561035 24.04599952697754 24.047000885009766 24.04800033569336 24.048999786376953 24.051000595092773  degree_C	84 options
salinity	= (ANY) 35.31399917602539 35.31700134277344 35.319000244140625 35.327999114990234 35.340999603271484 35.347999572753906 35.358001708984375 35.367000579833984 35.37300109863281 35.374000549316406 35.375999450683594 35.382999420166016 35.402000427246094 35.41299819946289 35.43199920654297 35.45600128173828 35.4739990234375 35.50699996948242 35.51499938964844 35.52399826049805 35.53900146484375 35.553001403808594 35.55799865722656 35.566001892089844 35.57600021362305 35.590999603271484 35.61600112915039 35.643001556396484 35.667999267578125 35.68600082397461 35.7140007019043 35.73400115966797 35.755001068115234 35.79199981689453 35.80400085449219 35.81999969482422 35.83700180053711 35.849998474121094 35.861000061035156 35.88199996948242 35.90700149536133 35.9370002746582 35.95500183105469 35.97600173950195 36.005001068115234 36.02899932861328 36.05699920654297 36.08100128173828 36.09000015258789 36.10300064086914 36.130001068115234 36.176998138427734 36.19200134277344 36.202999114990234 36.21200180053711 36.24300003051758 36.28099822998047 36.29199981689453 36.31100082397461 36.35499954223633 36.369998931884766 36.37099838256836 36.37200164794922 36.38100051879883 36.391998291015625 36.39799880981445 36.400001525878906 36.4010009765625 36.404998779296875 36.40599822998047 36.40700149536133 36.4109992980957 36.417999267578125 36.42300033569336 36.42900085449219 36.43199920654297 36.43600082397461  PSU	77 options
oxygen	= (ANY) -99.0 2.999000072479248 3.944999933242798 4.423999786376953 4.770999908447266 4.77400016784668 4.8420000076293945  milliliters per liter	8 options
nitrite	= (ANY) 0.009999999776482582 0.019999999552965164 0.029999999329447746 0.05000000074505806 0.07999999821186066 0.1599999964237213  micromols per liter	7 options
nitrate	= (ANY) 0.0 0.03999999910593033 0.05000000074505806 0.6100000143051147 4.03000020980835 10.5 13.199999809265137 16.5 28.899999618530273 29.299999237060547 30.5 32.29999923706055  micromols	13 options
phosphate	= (ANY) 0.10000000149011612 0.11999999731779099 0.15000000596046448 0.18000000715255737 0.2800000011920929 0.6399999856948853 0.699999988079071 0.9399999976158142 1.590000033378601 1.600000023841858 1.7300000190734863 1.8300000429153442  micromols per liter	13 options
silicate	= (ANY) 0.8100000023841858 0.8600000143051147 1.090000033378601 1.5099999904632568 3.4100000858306885 3.5899999141693115 4.940000057220459 13.399999618530273 20.600000381469727 25.399999618530273 26.899999618530273  micromols per liter	12 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 per liter	micromols	micromols per liter	micromols per liter	PSU
8.0	24.035999298095703	36.37099838256836	4.770999908447266	0.029999999329447746	0.0	0.10000000149011612	0.8600000143051147	-99.0	0.0
13.0	24.03700065612793	36.37099838256836	4.77400016784668	0.029999999329447746	0.05000000074505806	0.11999999731779099	1.090000033378601	-99.0	0.0
16.0	24.040000915527344	36.37099838256836	4.8420000076293945	0.07999999821186066	0.03999999910593033	0.15000000596046448	0.8100000023841858	-99.0	0.0
22.0	24.041000366210938	36.37099838256836	4.423999786376953	0.1599999964237213	0.6100000143051147	0.18000000715255737	0.8100000023841858	-99.0	0.0
28.0	24.04599952697754	36.369998931884766	3.944999933242798	0.05000000074505806	4.03000020980835	0.2800000011920929	1.5099999904632568	-99.0	0.0
33.0	24.047000885009766	36.37099838256836	2.999000072479248	0.05000000074505806	10.5	0.6399999856948853	3.4100000858306885	-99.0	0.0
37.0	24.04800033569336	36.37200164794922	-99.0	0.029999999329447746	13.199999809265137	0.699999988079071	3.5899999141693115	-99.0	0.0
42.0	24.048999786376953	36.37200164794922	-99.0	0.019999999552965164	16.5	0.9399999976158142	4.940000057220459	-99.0	0.0
47.0	24.048999786376953	36.37099838256836	-99.0	0.019999999552965164	29.299999237060547	1.600000023841858	13.399999618530273	-99.0	0.0
53.0	24.051000595092773	36.38100051879883	-99.0	0.029999999329447746	32.29999923706055	1.8300000429153442	20.600000381469727	-99.0	0.0
58.0	24.04400062561035	36.39799880981445	-99.0	0.019999999552965164	30.5	1.7300000190734863	25.399999618530273	-99.0	0.0
62.0	24.038000106811523	36.40599822998047	-99.0	0.009999999776482582	28.899999618530273	1.590000033378601	26.899999618530273	-99.0	0.0
67.0	23.98699951171875	36.40700149536133							0.0
72.0	23.816999435424805	36.42300033569336							0.0
77.0	23.323999404907227	36.43199920654297							0.0
83.0	22.68199920654297	36.43600082397461							0.0
87.0	22.466999053955078	36.42900085449219							0.0
92.0	22.114999771118164	36.417999267578125							0.0
97.0	21.625999450683594	36.4010009765625							0.0
102.0	21.54599952697754	36.404998779296875							0.0
108.0	21.135000228881836	36.400001525878906							0.0
112.0	20.416000366210938	36.4109992980957							0.0
117.0	19.881000518798828	36.417999267578125							0.0
122.0	19.555999755859375	36.404998779296875							0.0
127.0	19.141000747680664	36.391998291015625							0.0
132.0	18.45199966430664	36.35499954223633							0.0
138.0	18.040000915527344	36.31100082397461							0.0
142.0	17.674999237060547	36.29199981689453							0.0
148.0	17.385000228881836	36.28099822998047							0.0
152.0	17.06999969482422	36.24300003051758							0.0
158.0	16.889999389648438	36.21200180053711							0.0
162.0	16.743999481201172	36.202999114990234							0.0
167.0	16.632999420166016	36.19200134277344							0.0
172.0	16.503000259399414	36.176998138427734							0.0
177.0	16.194000244140625	36.130001068115234							0.0
183.0	16.014999389648438	36.10300064086914							0.0
187.0	15.923999786376953	36.09000015258789							0.0
192.0	15.819000244140625	36.08100128173828							0.0
197.0	15.682000160217285	36.05699920654297							0.0
203.0	15.522000312805176	36.02899932861328							0.0
207.0	15.335000038146973	36.005001068115234							0.0
212.0	15.180999755859375	35.97600173950195							0.0
217.0	15.024999618530273	35.95500183105469							0.0
222.0	14.897000312805176	35.9370002746582							0.0
228.0	14.718999862670898	35.90700149536133							0.0
232.0	14.538000106811523	35.88199996948242							0.0
237.0	14.425999641418457	35.861000061035156							0.0
242.0	14.35200023651123	35.849998474121094							0.0
247.0	14.26200008392334	35.83700180053711							0.0
252.0	14.163000106811523	35.81999969482422							0.0
257.0	14.057999610900879	35.80400085449219							0.0
262.0	13.958000183105469	35.79199981689453							0.0
267.0	13.72599983215332	35.755001068115234							0.0
272.0	13.595000267028809	35.73400115966797							0.0
277.0	13.467000007629395	35.7140007019043							0.0
282.0	13.29800033569336	35.68600082397461							0.0
287.0	13.170999526977539	35.667999267578125							0.0
292.0	13.01200008392334	35.643001556396484							0.0
297.0	12.8100004196167	35.61600112915039							0.0
303.0	12.668000221252441	35.590999603271484							0.0
308.0	12.579000473022461	35.57600021362305							0.0
312.0	12.51200008392334	35.566001892089844							0.0
317.0	12.46399974822998	35.55799865722656							0.0
322.0	12.418999671936035	35.553001403808594							0.0
327.0	12.324999809265137	35.53900146484375							0.0
332.0	12.22599983215332	35.52399826049805							0.0
337.0	12.163000106811523	35.51499938964844							0.0
342.0	12.079999923706055	35.50699996948242							0.0
347.0	11.871999740600586	35.4739990234375							0.0
352.0	11.779999732971191	35.45600128173828							0.0
357.0	11.630000114440918	35.43199920654297							0.0
362.0	11.480999946594238	35.41299819946289							0.0
367.0	11.425999641418457	35.402000427246094							0.0
372.0	11.251999855041504	35.382999420166016							0.0
377.0	11.223999977111816	35.375999450683594							0.0
382.0	11.210000038146973	35.374000549316406							0.0
387.0	11.208000183105469	35.37300109863281							0.0
392.0	11.156999588012695	35.367000579833984							0.0
397.0	11.098999977111816	35.358001708984375							0.0
403.0	11.027000427246094	35.347999572753906							0.0
407.0	10.968000411987305	35.340999603271484							0.0
413.0	10.885000228881836	35.327999114990234							0.0
417.0	10.824999809265137	35.319000244140625							0.0
422.0	10.809000015258789	35.31700134277344							0.0
426.0	10.791999816894531	35.31399917602539							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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