ERDDAP > tabledap > Subset

Dataset Title:	"Deepwater CTD - 00572316.bdo.nc - 21.67N, -85.56W - 1969-06-00"
Institution:	Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00572316_bdo)
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: 29)
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 30.0 50.0 70.0 100.0 120.0 140.0 160.0 180.0 200.0 230.0 260.0 290.0 320.0 360.0 400.0 449.0 531.0 580.0 629.0 678.0 727.0 825.0 922.0 1020.0 1215.0 1410.0 1605.0 1800.0  m	29 options
temperature	= (ANY) 4.190000057220459 4.260000228881836 4.360000133514404 4.5 5.039999961853027 5.78000020980835 6.480000019073486 7.670000076293945 7.980000019073486 8.75 10.180000305175781 10.65999984741211 13.039999961853027 13.649999618530273 14.899999618530273 16.049999237060547 17.020000457763672 17.540000915527344 18.229999542236328 19.399999618530273 20.81999969482422 21.940000534057617 23.670000076293945 24.920000076293945 25.8700008392334 26.979999542236328 27.270000457763672 28.84000015258789 29.799999237060547  degree_C	29 options
salinity	= (ANY) -99.98999786376953 34.845001220703125 34.86199951171875 34.9010009765625 34.90700149536133 34.928001403808594 34.95100021362305 34.96200180053711 34.972999572753906 35.020999908447266 35.209999084472656 35.279998779296875 35.64899826049805 35.7400016784668 35.95199966430664 36.02899932861328 36.09600067138672 36.12099838256836 36.150001525878906 36.17300033569336 36.3120002746582 36.39500045776367 36.46900177001953 36.49599838256836 36.59600067138672 36.599998474121094 36.69300079345703 36.71500015258789 36.763999938964844  PSU	29 options
oxygen	= (ANY) -99.98999786376953 2.0899999141693115 2.559999942779541 2.5899999141693115 2.630000114440918 2.7300000190734863 2.9200000762939453 3.0199999809265137 3.059999942779541 3.069999933242798 3.1600000858306885 3.180000066757202 3.200000047683716 3.299999952316284 3.309999942779541 3.509999990463257 3.549999952316284 3.740000009536743 3.7899999618530273 3.880000114440918 4.050000190734863 4.179999828338623 4.25 4.28000020980835 4.329999923706055 4.380000114440918 4.5 4.639999866485596 4.659999847412109  milliliters per liter	29 options
nitrite	= (ANY)  not-measured	1 option:
nitrate	= (ANY)  not-measured	1 option:
phosphate	= (ANY)  not-measured	1 option:
silicate	= (ANY)  not-measured	1 option:
salinity2	= (ANY)  PSU	1 option:
qualityFlag	= (ANY) 0.0 1.0	2 options

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	not-measured	not-measured	not-measured	not-measured	PSU
0.0	29.799999237060547	36.12099838256836	-99.98999786376953						0.0
30.0	28.84000015258789	36.09600067138672	4.329999923706055						0.0
50.0	27.270000457763672	36.02899932861328	4.380000114440918						0.0
70.0	26.979999542236328	36.17300033569336	4.179999828338623						0.0
100.0	25.8700008392334	36.46900177001953	3.880000114440918						0.0
120.0	24.920000076293945	36.59600067138672	3.740000009536743						0.0
140.0	23.670000076293945	36.69300079345703	4.050000190734863						0.0
160.0	21.940000534057617	36.763999938964844	3.180000066757202						0.0
180.0	20.81999969482422	36.71500015258789	3.299999952316284						0.0
200.0	19.399999618530273	36.599998474121094	3.309999942779541						0.0
230.0	18.229999542236328	36.49599838256836	4.5						0.0
260.0	17.540000915527344	36.39500045776367	3.549999952316284						0.0
290.0	17.020000457763672	36.3120002746582	3.509999990463257						1.0
320.0	16.049999237060547	36.150001525878906	3.069999933242798						1.0
360.0	14.899999618530273	35.95199966430664	3.1600000858306885						0.0
400.0	13.649999618530273	35.7400016784668	3.0199999809265137						0.0
449.0	13.039999961853027	35.64899826049805	3.059999942779541						0.0
531.0	10.65999984741211	35.279998779296875	2.7300000190734863						0.0
580.0	10.180000305175781	35.209999084472656	2.0899999141693115						0.0
629.0	8.75	35.020999908447266	2.559999942779541						0.0
678.0	7.980000019073486	34.928001403808594	2.630000114440918						1.0
727.0	7.670000076293945	34.9010009765625	2.5899999141693115						1.0
825.0	6.480000019073486	34.845001220703125	2.9200000762939453						1.0
922.0	5.78000020980835	34.86199951171875	3.200000047683716						0.0
1020.0	5.039999961853027	34.90700149536133	3.7899999618530273						0.0
1215.0	4.5	34.95100021362305	4.25						0.0
1410.0	4.360000133514404	-99.98999786376953	4.28000020980835						0.0
1605.0	4.260000228881836	34.96200180053711	4.639999866485596						0.0
1800.0	4.190000057220459	34.972999572753906	4.659999847412109						0.0