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Dataset Title:  "LATEX CTD - d94h077.nc - 28.97N, 94.0W - 1994-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h077)
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: 26)
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   26 options
    depth ?  =  m   26 options
    temperature ?  =  degree_C   26 options
    potentialTemperature ?  =  degree_C   26 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   26 options
    sigmat ?  =  kg m-3   26 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   24 options
    par ?  =  umol m-2 s-1   26 options
    parv ?  =  volts   26 options
    fluorescence ?  =  volts   26 options
    backscattering ?  =  volts   23 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
3.0 3.0 24.276500701904297 24.27589988708496 4.343599796295166 28.42329978942871 18.59309959411621 0.38199999928474426 4.3480000495910645 291.0 2.7950000762939453 0.4059999883174896 0.035999998450279236
3.5 3.5 24.280799865722656 24.280099868774414 4.373899936676025 28.641199111938477 18.756099700927734 0.3869999945163727 4.3460001945495605 249.0 2.7279999256134033 0.42399999499320984 0.039000000804662704
4.0 4.0 24.260299682617188 24.25950050354004 4.412399768829346 28.93600082397461 18.984500885009766 0.3449999988079071 4.3429999351501465 220.0 2.674999952316284 0.46799999475479126 0.03799999877810478
4.5 4.5 24.07080078125 24.069900512695312 4.477099895477295 29.534000396728516 19.4906005859375 0.3400000035762787 4.340000152587891 192.0 2.615000009536743 0.48500001430511475 0.03099999949336052
5.0 5.0 23.912099838256836 23.911100387573242 4.548600196838379 30.167600631713867 20.014799118041992 0.3190000057220459 4.3420000076293945 176.0 2.5759999752044678 0.5519999861717224 0.02800000086426735
5.5 5.5 23.701200485229492 23.70009994506836 4.602499961853027 30.712299346923828 20.487199783325195 0.34599998593330383 4.295000076293945 150.0 2.506999969482422 0.5329999923706055 0.029999999329447746
6.0 6.0 23.462299346923828 23.46109962463379 4.664899826049805 31.347000122070312 21.035499572753906 0.5040000081062317 4.3480000495910645 135.0 2.4609999656677246 0.5680000185966492 0.028999999165534973
6.5 6.5 23.223499298095703 23.222200393676758 4.727399826049805 31.98940086364746 21.58989906311035 0.37700000405311584 4.361000061035156 123.0 2.4200000762939453 0.6240000128746033 0.032999999821186066
7.0 7.0 23.13610076904297 23.134700775146484 4.726200103759766 32.0432014465332 21.65570068359375 0.6050000190734863 4.372000217437744 110.0 2.374000072479248 0.6759999990463257 0.029999999329447746
7.599999904632568 7.5 23.051300048828125 23.049800872802734 4.726600170135498 32.10770034790039 21.728599548339844 0.8410000205039978 4.361999988555908 96.69999694824219 2.316999912261963 0.6629999876022339 0.029999999329447746
8.100000381469727 8.0 23.02680015563965 23.02519989013672 4.742099761962891 32.24380111694336 21.838699340820312 0.8840000033378601 4.361000061035156 87.19999694824219 2.2720000743865967 0.6650000214576721 0.03200000151991844
8.600000381469727 8.5 22.55699920654297 22.555299758911133 4.724100112915039 32.45199966430664 22.129199981689453 0.6940000057220459 4.326000213623047 79.5 2.2320001125335693 0.6940000057220459 0.03500000014901161
9.100000381469727 9.0 22.129100799560547 22.127300262451172 4.695199966430664 32.54800033569336 22.321500778198242 0.6940000057220459 4.205999851226807 74.5 2.2039999961853027 0.7149999737739563 0.03799999877810478
9.600000381469727 9.5 21.999300003051758 21.997400283813477 4.679800033569336 32.525699615478516 22.340599060058594 0.9480000138282776 4.105999946594238 69.0999984741211 2.1710000038146973 0.699999988079071 0.061000000685453415
10.100000381469727 10.0 21.895700454711914 21.893699645996094 4.667600154876709 32.507598876953125 22.355499267578125 0.843999981880188 4.040999889373779 62.599998474121094 2.128000020980835 0.6959999799728394 0.0949999988079071
10.600000381469727 10.5 21.73069953918457 21.728700637817383 4.652599811553955 32.51470184326172 22.406299591064453 0.5059999823570251 3.9149999618530273 56.900001525878906 2.0869998931884766 0.6740000247955322 0.09099999815225601
11.100000381469727 11.0 21.19339942932129 21.191299438476562 4.6178998947143555 32.64870071411133 22.654300689697266 0.546999990940094 3.4059998989105225 52.599998474121094 2.052999973297119 0.6370000243186951 0.14399999380111694
11.600000381469727 11.5 21.145099639892578 21.142900466918945 4.656099796295166 32.98780059814453 22.924999237060547 0.7170000076293945 3.562000036239624 48.5 2.0169999599456787 0.6290000081062317 0.2460000067949295
12.100000381469727 12.0 21.1299991607666 21.127700805664062 4.715199947357178 33.46889877319336 23.295000076293945 0.7400000095367432 3.8259999752044678 44.900001525878906 1.9839999675750732 0.6320000290870667 0.21199999749660492
12.600000381469727 12.5 21.12689971923828 21.124500274658203 4.730599880218506 33.594200134277344 23.39109992980957 0.5690000057220459 3.694999933242798 40.599998474121094 1.940000057220459 0.652999997138977 0.16500000655651093
13.100000381469727 13.0 20.95989990234375 20.957399368286133 4.752299785614014 33.89899826049805 23.667999267578125 0.49799999594688416 3.384000062942505 34.5 1.86899995803833 0.7919999957084656 0.20900000631809235
13.600000381469727 13.5 20.79290008544922 20.790300369262695 4.77400016784668 34.20610046386719 23.94700050354004 0.765999972820282 3.431999921798706 31.899999618530273 1.8350000381469727 0.8140000104904175 0.23899999260902405
14.100000381469727 14.0 20.78219985961914 20.779499053955078 4.773200035095215 34.20759963989258 23.950899124145508 0.7929999828338623 3.559000015258789 28.399999618530273 1.784999966621399 0.8059999942779541 0.23600000143051147
14.600000381469727 14.5 20.75670051574707 20.7539005279541 4.771999835968018 34.21889877319336 23.966400146484375 0.5979999899864197 3.802000045776367 24.399999618530273 1.718999981880188 0.7820000052452087 0.2160000056028366
15.100000381469727 15.0 20.542600631713867 20.5398006439209 4.771999835968018 34.391300201416016 24.15489959716797 0.36899998784065247 3.9830000400543213 18.399999618530273 1.597000002861023 0.6850000023841858 0.1889999955892563
15.600000381469727 15.5 20.207300186157227 20.20439910888672 4.778500080108643 34.71770095825195 24.492900848388672 0.6190000176429749 3.9519999027252197 14.699999809265137 1.4980000257492065 0.7089999914169312 0.17800000309944153

In total, there are 26 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.


 
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