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

ERDDAP > tabledap > Subset ?

Dataset Title:  "LATEX CTD - d94i066.nc - 29.17N, 93.0W - 1994-07-31" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i066)
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: 31)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   31 options
    depth ?  =  m   31 options
    temperature ?  =  degree_C   29 options
    potentialTemperature ?  =  degree_C   29 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   31 options
    sigmat ?  =  kg m-3   29 options
    descentRate ?  =  meters per second   31 options
    transmission ?  =  percent   24 options
    par ?  =  umol m-2 s-1   30 options
    parv ?  =  volts   30 options
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   13 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)  

pressure depth temperature potentialTemperature conductivity salinity sigmat descentRate transmission par parv fluorescence backscattering
dBar m degree_C degree_C Siemens per meter PSU kg m-3 meters per second percent umol m-2 s-1 volts volts volts
1.5 1.5 28.895599365234375 28.895200729370117 5.354000091552734 32.50809860229492 20.231300354003906 0.22300000488758087 4.354000091552734 243.0 2.5250000953674316 1.4880000352859497 0.04399999976158142
2.0 2.0 28.91830062866211 28.917800903320312 5.3572001457214355 32.514801025390625 20.228900909423828 -0.1379999965429306 4.355999946594238 191.0 2.4189999103546143 1.4049999713897705 0.03999999910593033
2.5 2.5 28.909099578857422 28.90850067138672 5.356100082397461 32.51350021362305 20.231000900268555 -0.008999999612569809 4.3460001945495605 160.0 2.3420000076293945 1.4229999780654907 0.03500000014901161
3.0 3.0 28.90850067138672 28.907800674438477 5.356100082397461 32.51319885253906 20.231000900268555 0.17800000309944153 4.349999904632568 141.0 2.2880001068115234 1.409999966621399 0.028999999165534973
3.5 3.5 28.906700134277344 28.905899047851562 5.355999946594238 32.514198303222656 20.23240089416504 0.009999999776482582 4.3429999351501465 126.0 2.240000009536743 1.4119999408721924 0.027000000700354576
4.0 4.0 28.904699325561523 28.90369987487793 5.355299949645996 32.510101318359375 20.229999542236328 -0.9610000252723694 4.3429999351501465 111.0 2.184000015258789 1.409000039100647 0.03200000151991844
4.5 4.5 28.90489959716797 28.903799057006836 5.354899883270264 32.50709915161133 20.227800369262695 -0.017000000923871994 4.361000061035156 97.69999694824219 2.128999948501587 1.4479999542236328 0.029999999329447746
5.0 5.0 28.905799865722656 28.904600143432617 5.356200218200684 32.51580047607422 20.233999252319336 -0.15199999511241913 4.363999843597412 87.0999984741211 2.0789999961853027 1.434999942779541 0.027000000700354576
5.5 5.5 28.905500411987305 28.904199600219727 5.356599807739258 32.51860046386719 20.236299514770508 0.5289999842643738 4.361999988555908 78.19999694824219 2.0320000648498535 1.4170000553131104 0.026000000536441803
6.0 6.0 28.90559959411621 28.904199600219727 5.35699987411499 32.52069854736328 20.23780059814453 0.5199999809265137 4.369999885559082 72.30000305175781 1.9980000257492065 1.4220000505447388 0.029999999329447746
6.5 6.5 28.905899047851562 28.904300689697266 5.356900215148926 32.52009963989258 20.23740005493164 0.07800000160932541 4.374000072479248 67.0999984741211 1.965999960899353 1.4270000457763672 0.026000000536441803
7.0 7.0 28.90570068359375 28.90399932861328 5.356900215148926 32.519500732421875 20.23699951171875 0.1679999977350235 4.374000072479248 64.0999984741211 1.9459999799728394 1.4270000457763672 0.024000000208616257
7.599999904632568 7.5 28.905899047851562 28.90410041809082 5.356900215148926 32.51969909667969 20.23710060119629 0.10499999672174454 4.370999813079834 60.70000076293945 1.9220000505447388 1.4429999589920044 0.02500000037252903
8.100000381469727 8.0 28.904699325561523 28.902799606323242 5.35699987411499 32.52119827270508 20.23870086669922 -0.03200000151991844 4.375 59.099998474121094 1.9110000133514404 1.4450000524520874 0.02500000037252903
8.600000381469727 8.5 28.904800415039062 28.902700424194336 5.357100009918213 32.520999908447266 20.23859977722168 -0.06700000166893005 4.369999885559082 56.599998474121094 1.8919999599456787 1.5049999952316284 0.026000000536441803
9.100000381469727 9.0 28.906299591064453 28.90410041809082 5.3572998046875 32.52159881591797 20.238500595092773 0.09799999743700027 4.374000072479248 53.599998474121094 1.8680000305175781 1.4700000286102295 0.02500000037252903
9.600000381469727 9.5 28.90679931640625 28.904499053955078 5.357399940490723 32.52170181274414 20.238500595092773 -0.1340000033378601 4.376999855041504 52.0 1.8550000190734863 1.440000057220459 0.026000000536441803
10.100000381469727 10.0 28.927900314331055 28.925500869750977 5.361700057983398 32.53670120239258 20.242799758911133 -0.04399999976158142 4.372000217437744 51.0 1.847000002861023 1.4329999685287476 0.02500000037252903
10.600000381469727 10.5 28.98699951171875 28.984500885009766 5.376699924468994 32.5984992980957 20.26959991455078 -0.21899999678134918 4.360000133514404 50.099998474121094 1.8389999866485596 1.4529999494552612 0.024000000208616257
11.100000381469727 11.0 29.05139923095703 29.0487003326416 5.395100116729736 32.679500579833984 20.30900001525879 0.20900000631809235 4.348999977111816 47.0 1.8109999895095825 1.5099999904632568 0.026000000536441803
11.600000381469727 11.5 29.199800491333008 29.19700050354004 5.439499855041504 32.88010025024414 20.410200119018555 -1.4110000133514404 4.349999904632568 46.20000076293945 1.8040000200271606 1.5470000505447388 0.026000000536441803
12.100000381469727 12.0 29.242799758911133 29.23979949951172 5.454699993133545 32.95349884033203 20.450899124145508 -0.546999990940094 4.3470001220703125 47.0 1.8109999895095825 1.5880000591278076 0.026000000536441803
12.600000381469727 12.5 29.255599975585938 29.252500534057617 5.457699775695801 32.96480178833008 20.4552001953125 1.031000018119812 4.3420000076293945 45.79999923706055 1.7999999523162842 1.6139999628067017 0.02800000086426735
13.100000381469727 13.0 29.245899200439453 29.242700576782227 5.4567999839782715 32.96549987792969 20.458999633789062 0.22599999606609344 4.348999977111816 43.599998474121094 1.7790000438690186 1.6330000162124634 0.027000000700354576
13.600000381469727 13.5 29.226299285888672 29.222999572753906 5.462399959564209 33.01679992675781 20.503999710083008 0.4300000071525574 4.3520002365112305 44.400001525878906 1.7860000133514404 1.6490000486373901 0.029999999329447746
14.100000381469727 14.0 29.172000885009766 29.16860008239746 5.459499835968018 33.03409957885742 20.53510093688965 1.2209999561309814 4.364999771118164 43.5 1.777999997138977 1.6660000085830688 0.02800000086426735
14.600000381469727 14.5 29.145099639892578 29.141599655151367 5.455900192260742 33.02799987792969 20.539499282836914 0.12399999797344208 4.370999813079834 41.099998474121094 1.753000020980835 1.649999976158142 0.02500000037252903
15.100000381469727 15.0 29.131399154663086 29.127700805664062 5.453499794006348 33.02080154418945 20.538700103759766 0.9750000238418579 4.392000198364258 40.099998474121094 1.7419999837875366 1.61899995803833 0.023000000044703484
15.600000381469727 15.5 29.115299224853516 29.111600875854492 5.452300071716309 33.02410125732422 20.546600341796875 0.1420000046491623 4.396999835968018 38.5 1.725000023841858 1.5859999656677246 0.02500000037252903
16.100000381469727 16.0 29.10849952697754 29.10460090637207 5.452700138092041 33.03089904785156 20.554000854492188 -1.1349999904632568 4.410999774932861 37.79999923706055 1.715999960899353 1.5850000381469727 0.020999999716877937
16.600000381469727 16.5 29.108299255371094 29.10420036315918 5.45389986038208 33.039100646972656 20.560300827026367 -0.8360000252723694 4.406000137329102 33.099998474121094 1.659000039100647 1.5880000591278076 0.024000000208616257

In total, there are 31 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