GCOOS Metocean: Historical collections
   
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 94g0833.ctd.nc - 28.66N, -89.88W - 1994-10-23" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0833_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: 200)
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   200 options
    temperature ?  =  degree_C   198 options
    salinity ?  =  PSU   198 options
    oxygen ?  =  milliliters per liter   10 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   9 options
    salinity2 ?  =  PSU   2 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 nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
7.0 25.97760009765625 33.88600158691406 4.947000026702881 0.019999999552965164 0.10000000149011612 0.10000000149011612 2.200000047683716 -99.0 0.0
8.0 26.0447998046875 33.94129943847656 4.980000019073486 0.009999999776482582 0.0 0.07000000029802322 1.600000023841858 -99.0 0.0
9.0 26.201900482177734 34.08530044555664 3.2699999809265137 0.019999999552965164 9.5 0.6000000238418579 6.099999904632568 -99.0 0.0
10.0 26.40060043334961 34.3650016784668 3.0429999828338623 0.009999999776482582 17.299999237060547 1.0700000524520874 7.900000095367432 -99.0 0.0
11.0 26.687400817871094 34.83599853515625 3.242000102996826 0.019999999552965164 17.200000762939453 1.0800000429153442 8.699999809265137 -99.0 0.0
12.0 26.749300003051758 34.94350051879883 2.9700000286102295 0.009999999776482582 22.0 1.4199999570846558 11.399999618530273 -99.0 0.0
13.0 26.782400131225586 34.98830032348633 2.984999895095825 0.019999999552965164 22.0 1.4299999475479126 11.399999618530273 -99.0 0.0
14.0 26.801799774169922 35.019901275634766 2.9030001163482666 0.019999999552965164 25.899999618530273 1.7200000286102295 15.600000381469727 -99.0 0.0
15.0 26.812700271606445 35.04359817504883 2.8910000324249268 0.029999999329447746 26.100000381469727 1.7200000286102295 15.5 -99.0 0.0
16.0 26.868499755859375 35.12929916381836 0.0
17.0 26.92639923095703 35.239601135253906 0.0
18.0 26.95949935913086 35.354698181152344 0.0
19.0 26.97010040283203 35.43899917602539 0.0
20.0 26.99799919128418 35.526798248291016 0.0
21.0 27.01569938659668 35.61389923095703 0.0
22.0 27.000999450683594 35.66910171508789 0.0
23.0 26.9822998046875 35.723201751708984 0.0
24.0 26.961200714111328 35.753501892089844 0.0
25.0 26.959800720214844 35.807701110839844 0.0
26.0 26.95840072631836 35.83689880371094 0.0
27.0 26.951400756835938 35.85260009765625 0.0
28.0 26.948999404907227 35.86119842529297 0.0
29.0 26.932300567626953 35.869300842285156 0.0
30.0 26.935800552368164 35.85689926147461 0.0
31.0 26.915199279785156 35.873600006103516 0.0
32.0 26.920400619506836 35.869598388671875 0.0
33.0 26.913400650024414 35.881900787353516 0.0
34.0 26.89430046081543 35.88750076293945 0.0
35.0 26.87700080871582 35.89849853515625 0.0
36.0 26.915700912475586 35.924400329589844 0.0
37.0 26.93779945373535 35.9390983581543 0.0
38.0 26.920799255371094 35.936500549316406 0.0
39.0 26.91469955444336 35.93429946899414 0.0
40.0 26.915300369262695 35.94240188598633 0.0
41.0 26.917299270629883 35.94409942626953 0.0
42.0 26.91939926147461 35.95199966430664 0.0
43.0 26.919599533081055 35.952301025390625 0.0
44.0 26.917299270629883 35.95399856567383 0.0
45.0 26.910499572753906 35.956298828125 0.0
46.0 26.89889907836914 35.96189880371094 0.0
47.0 26.895599365234375 35.96379852294922 0.0
48.0 26.870899200439453 35.9723014831543 0.0
49.0 26.84910011291504 35.977298736572266 0.0
50.0 26.824199676513672 35.98109817504883 0.0
51.0 26.780500411987305 35.99549865722656 0.0
52.0 26.763200759887695 36.01179885864258 0.0
53.0 26.713499069213867 36.02579879760742 0.0
54.0 26.64550018310547 36.026798248291016 0.0
55.0 26.376699447631836 36.076900482177734 0.0
56.0 25.99810028076172 36.13420104980469 0.0
57.0 25.5132999420166 36.18939971923828 0.0
58.0 24.868900299072266 36.23830032348633 0.0
59.0 23.644399642944336 36.33720016479492 0.0
60.0 23.31839942932129 36.349098205566406 0.0
61.0 22.691499710083008 36.380401611328125 0.0
62.0 22.472299575805664 36.38159942626953 0.0
63.0 22.067899703979492 36.39080047607422 0.0
64.0 22.01140022277832 36.389198303222656 0.0
65.0 21.921499252319336 36.38399887084961 0.0
66.0 20.848100662231445 36.42399978637695 0.0
67.0 20.298900604248047 36.44540023803711 0.0
68.0 19.982099533081055 36.435001373291016 0.0
69.0 19.768400192260742 36.43600082397461 0.0
70.0 19.566699981689453 36.461700439453125 0.0
71.0 19.304100036621094 36.46689987182617 0.0
72.0 19.255599975585938 36.48809814453125 0.0
73.0 19.221099853515625 36.50339889526367 0.0
74.0 19.179899215698242 36.5077018737793 0.0
75.0 19.10420036315918 36.49919891357422 0.0
76.0 19.040599822998047 36.48569869995117 0.0
77.0 18.801799774169922 36.44620132446289 0.0
78.0 18.68000030517578 36.42570114135742 0.0
79.0 18.528099060058594 36.4119987487793 0.0
80.0 18.528099060058594 36.406700134277344 0.0
81.0 18.459199905395508 36.39500045776367 0.0
82.0 18.392799377441406 36.38560104370117 0.0
83.0 18.31279945373535 36.37950134277344 0.0
84.0 18.227699279785156 36.373600006103516 0.0
85.0 18.18120002746582 36.36989974975586 0.0
86.0 18.19540023803711 36.36759948730469 0.0
87.0 18.072200775146484 36.36320114135742 0.0
88.0 18.052900314331055 36.359500885009766 0.0
89.0 18.048599243164062 36.358299255371094 0.0
90.0 18.025999069213867 36.3567008972168 0.0
91.0 17.9862003326416 36.35449981689453 0.0
92.0 17.969600677490234 36.35309982299805 0.0
93.0 17.953100204467773 36.35200119018555 0.0
94.0 17.930200576782227 36.34939956665039 0.0
95.0 17.912599563598633 36.347900390625 0.0
96.0 17.905899047851562 36.34659957885742 0.0
97.0 17.827199935913086 36.34519958496094 0.0
98.0 17.761499404907227 36.344398498535156 0.0
99.0 17.742599487304688 36.34339904785156 0.0
100.0 17.6476993560791 36.34659957885742 0.0
101.0 17.63170051574707 36.348201751708984 0.0
102.0 17.5674991607666 36.34280014038086 0.0
103.0 17.519500732421875 36.33700180053711 0.0
104.0 17.47559928894043 36.331298828125 0.0
105.0 17.434099197387695 36.32569885253906 0.0
106.0 17.351999282836914 36.316001892089844 0.0
107.0 17.30299949645996 36.30979919433594 0.0
108.0 17.29450035095215 36.307498931884766 0.0
109.0 17.26449966430664 36.30289840698242 0.0
110.0 17.11870002746582 36.287498474121094 0.0
111.0 17.097400665283203 36.28310012817383 0.0
112.0 17.067899703979492 36.2776985168457 0.0
113.0 17.053499221801758 36.274898529052734 0.0
114.0 17.03890037536621 36.27190017700195 0.0
115.0 17.021900177001953 36.2681999206543 0.0
116.0 16.997900009155273 36.264400482177734 0.0
117.0 16.97879981994629 36.26190185546875 0.0
118.0 16.96430015563965 36.260398864746094 0.0
119.0 16.952199935913086 36.25859832763672 0.0
120.0 16.904699325561523 36.25270080566406 0.0
121.0 16.881900787353516 36.24829864501953 0.0
122.0 16.87190055847168 36.24599838256836 0.0
123.0 16.838600158691406 36.24079895019531 0.0
124.0 16.79560089111328 36.234100341796875 0.0
125.0 16.65290069580078 36.21609878540039 0.0
126.0 16.58839988708496 36.20719909667969 0.0
127.0 16.538000106811523 36.19960021972656 0.0
128.0 16.495399475097656 36.193599700927734 0.0
129.0 16.4822998046875 36.191001892089844 0.0
130.0 16.434499740600586 36.18410110473633 0.0
131.0 16.40060043334961 36.179500579833984 0.0
132.0 16.37689971923828 36.17530059814453 0.0
133.0 16.326400756835938 36.16899871826172 0.0
134.0 16.31290054321289 36.166500091552734 0.0
135.0 16.28499984741211 36.162601470947266 0.0
136.0 16.254199981689453 36.15810012817383 0.0
137.0 16.243000030517578 36.15589904785156 0.0
138.0 16.234399795532227 36.154300689697266 0.0
139.0 16.2283992767334 36.15330123901367 0.0
140.0 16.214000701904297 36.15129852294922 0.0
141.0 16.207399368286133 36.1505012512207 0.0
142.0 16.20039939880371 36.14860153198242 0.0
143.0 16.172000885009766 36.14440155029297 0.0
144.0 16.147600173950195 36.14120101928711 0.0
145.0 16.128000259399414 36.13759994506836 0.0
146.0 16.094499588012695 36.133399963378906 0.0
147.0 16.078100204467773 36.13169860839844 0.0
148.0 16.06049919128418 36.12889862060547 0.0
149.0 16.056100845336914 36.12630081176758 0.0
150.0 16.050600051879883 36.125701904296875 0.0
151.0 16.042600631713867 36.124298095703125 0.0
152.0 16.037599563598633 36.12350082397461 0.0
153.0 16.052099227905273 36.12419891357422 0.0
154.0 16.035200119018555 36.122501373291016 0.0
155.0 16.03619956970215 36.12229919433594 0.0
156.0 16.030899047851562 36.12160110473633 0.0
157.0 16.011199951171875 36.11869812011719 0.0
158.0 15.974300384521484 36.11429977416992 0.0
159.0 15.948699951171875 36.11069869995117 0.0
160.0 15.909199714660645 36.10380172729492 0.0
161.0 15.904800415039062 36.102901458740234 0.0
162.0 15.895099639892578 36.10169982910156 0.0
163.0 15.885299682617188 36.10060119628906 0.0
164.0 15.893799781799316 36.10060119628906 0.0
165.0 15.87969970703125 36.09870147705078 0.0
166.0 15.857999801635742 36.095401763916016 0.0
167.0 15.8016996383667 36.08729934692383 0.0
168.0 15.758099555969238 36.081199645996094 0.0
169.0 15.723600387573242 36.07590103149414 0.0
170.0 15.703499794006348 36.073299407958984 0.0
171.0 15.687000274658203 36.06999969482422 0.0
172.0 15.673800468444824 36.067901611328125 0.0
173.0 15.66670036315918 36.06669998168945 0.0
174.0 15.640199661254883 36.0629997253418 0.0
175.0 15.626899719238281 36.0609016418457 0.0
176.0 15.571499824523926 36.05339813232422 0.0
177.0 15.497900009155273 36.04240036010742 0.0
178.0 15.475500106811523 36.038700103759766 0.0
179.0 15.456700325012207 36.03519821166992 0.0
180.0 15.430100440979004 36.03099822998047 0.0
181.0 15.402099609375 36.02669906616211 0.0
182.0 15.372599601745605 36.022098541259766 0.0
183.0 15.324600219726562 36.015098571777344 0.0
184.0 15.293000221252441 36.01020050048828 0.0
185.0 15.25409984588623 36.00450134277344 0.0
186.0 15.222000122070312 35.9994010925293 0.0
187.0 15.121600151062012 35.98460006713867 0.0
188.0 15.085000038146973 35.97890090942383 0.0
189.0 15.077300071716309 35.97719955444336 0.0
190.0 15.11709976196289 35.9807014465332 0.0
191.0 15.044300079345703 35.97010040283203 0.0
192.0 14.932100296020508 35.955501556396484 0.0
193.0 14.895400047302246 35.948299407958984 0.0
194.0 14.863300323486328 35.942501068115234 0.0
195.0 14.859299659729004 35.941001892089844 0.0
196.0 14.856900215148926 35.939701080322266 0.0
197.0 14.85669994354248 35.93899917602539 0.0
198.0 14.8572998046875 35.93840026855469 0.0
199.0 14.84850025177002 35.93730163574219 0.0
200.0 14.82509994506836 35.93389892578125 0.0
201.0 14.795599937438965 35.929500579833984 0.0
202.0 14.78030014038086 35.92720031738281 0.0
203.0 14.763899803161621 35.924598693847656 0.0
204.0 14.758500099182129 35.923500061035156 0.0
205.0 14.76200008392334 35.92399978637695 0.0
206.0 14.74899959564209 35.92190170288086 0.0

In total, there are 200 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.


 
ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact