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Dataset Title:  "LATEX CTD - d93e147.nc - 28.62N, 95.49W - 1993-05-06" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93e147)
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: 27)
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   27 options
    depth ?  =  m   27 options
    temperature ?  =  degree_C   27 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   27 options
    sigmat ?  =  kg m-3   27 options
    descentRate ?  =  meters per second   27 options
    transmission ?  =  percent   26 options
    par ?  =  umol m-2 s-1   10 options
    parv ?  =  volts   11 options
    fluorescence ?  =  volts   26 options
    backscattering ?  =  volts   1 option: -9.0

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)  

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
2.5 2.5 21.80900001525879 21.808500289916992 4.071400165557861 27.968000411987305 18.937299728393555 -0.19900000095367432 3.2219998836517334 0.9200000166893005 0.9929999709129333 2.13100004196167 -9.0
3.0 3.0 21.823200225830078 21.822599411010742 4.0594000816345215 27.867300033569336 18.857200622558594 0.4259999990463257 3.4000000953674316 1.0199999809265137 1.0379999876022339 2.128999948501587 -9.0
3.5 3.5 21.822599411010742 21.8218994140625 4.060400009155273 27.874799728393555 18.863000869750977 0.7799999713897705 3.2160000801086426 0.7900000214576721 0.9269999861717224 2.122999906539917 -9.0
4.0 4.0 21.82200050354004 21.821199417114258 4.061299800872803 27.882299423217773 18.868900299072266 0.40799999237060547 3.11899995803833 0.5400000214576721 0.765999972820282 2.117000102996826 -9.0
4.5 4.5 21.813400268554688 21.8125 4.068699836730957 27.943599700927734 18.917600631713867 0.5180000066757202 3.2060000896453857 0.30000001192092896 0.503000020980835 2.119999885559082 -9.0
5.0 5.0 21.802200317382812 21.80120086669922 4.090700149536133 28.118999481201172 19.053600311279297 0.7160000205039978 3.128000020980835 0.23999999463558197 0.41200000047683716 2.115999937057495 -9.0
5.5 5.5 21.773300170898438 21.772300720214844 4.128399848937988 28.426700592041016 19.294300079345703 0.7670000195503235 3.0239999294281006 0.18000000715255737 0.2930000126361847 2.109999895095825 -9.0
6.0 6.0 21.766199111938477 21.765100479125977 4.136600017547607 28.49370002746582 19.346900939941406 0.7070000171661377 2.947999954223633 0.14000000059604645 0.18799999356269836 2.114000082015991 -9.0
6.5 6.5 21.75309944152832 21.75189971923828 4.154399871826172 28.638700485229492 19.46030044555664 0.382999986410141 2.937000036239624 0.10000000149011612 0.04399999976158142 2.1040000915527344 -9.0
7.0 7.0 21.636999130249023 21.635700225830078 4.2164998054504395 29.194700241088867 19.913000106811523 0.46399998664855957 3.0820000171661377 0.09000000357627869 -9.0 2.0889999866485596 -9.0
7.599999904632568 7.5 21.52090072631836 21.519500732421875 4.27869987487793 29.75480079650879 20.368799209594727 0.8370000123977661 2.7809998989105225 0.09000000357627869 0.0 2.1110000610351562 -9.0
8.100000381469727 8.0 21.43910026550293 21.437599182128906 4.286799907684326 29.87380027770996 20.481000900268555 0.8989999890327454 2.2829999923706055 0.09000000357627869 0.0 2.0980000495910645 -9.0
8.600000381469727 8.5 21.41819953918457 21.41659927368164 4.285099983215332 29.875200271606445 20.487699508666992 0.7419999837875366 2.0220000743865967 0.09000000357627869 0.0 2.069999933242798 -9.0
9.100000381469727 9.0 21.417299270629883 21.415599822998047 4.28410005569458 29.867700576782227 20.4822998046875 0.3799999952316284 2.0190000534057617 0.09000000357627869 0.0 2.055999994277954 -9.0
9.600000381469727 9.5 21.40999984741211 21.408199310302734 4.287499904632568 29.899200439453125 20.508100509643555 0.7329999804496765 1.9210000038146973 0.09000000357627869 0.0 2.0439999103546143 -9.0
10.100000381469727 10.0 21.396299362182617 21.394399642944336 4.301000118255615 30.0132999420166 20.59830093383789 0.8169999718666077 1.937000036239624 0.09000000357627869 0.0 2.0350000858306885 -9.0
10.600000381469727 10.5 21.27239990234375 21.27039909362793 4.31879997253418 30.23889923095703 20.80270004272461 0.675000011920929 1.9509999752044678 0.09000000357627869 0.0 2.0360000133514404 -9.0
11.100000381469727 11.0 21.108299255371094 21.106199264526367 4.320499897003174 30.367700576782227 20.94420051574707 0.23499999940395355 1.6660000085830688 0.09000000357627869 0.0 1.9980000257492065 -9.0
11.600000381469727 11.5 21.161300659179688 21.159099578857422 4.33489990234375 30.44339942932129 20.987499237060547 0.6639999747276306 0.6990000009536743 0.09000000357627869 0.0 1.9859999418258667 -9.0
12.100000381469727 12.0 21.312599182128906 21.310300827026367 4.362400054931641 30.55109977722168 21.02899932861328 0.8230000138282776 0.9440000057220459 0.09000000357627869 0.0 1.9780000448226929 -9.0
12.600000381469727 12.5 21.375200271606445 21.372800827026367 4.3734002113342285 30.592100143432617 21.04319953918457 0.7929999828338623 1.0839999914169312 0.09000000357627869 0.0 1.9630000591278076 -9.0
13.100000381469727 13.0 21.405000686645508 21.40250015258789 4.38070011138916 30.627700805664062 21.06220054626465 0.44999998807907104 1.2230000495910645 0.09000000357627869 0.0 1.9630000591278076 -9.0
13.600000381469727 13.5 21.43829917907715 21.435699462890625 4.392199993133545 30.693300247192383 21.103099822998047 0.6669999957084656 1.559999942779541 0.09000000357627869 0.0 1.9600000381469727 -9.0
14.100000381469727 14.0 21.546899795532227 21.544200897216797 4.424900054931641 30.87070083618164 21.20829963684082 0.9100000262260437 1.5360000133514404 0.09000000357627869 0.0 1.9570000171661377 -9.0
14.600000381469727 14.5 21.66200065612793 21.65920066833496 4.47160005569458 31.151599884033203 21.390399932861328 0.9340000152587891 1.5980000495910645 0.09000000357627869 0.0 1.9579999446868896 -9.0
15.100000381469727 15.0 21.6427001953125 21.639799118041992 4.493500232696533 31.336299896240234 21.53580093383789 0.7590000033378601 1.6959999799728394 0.09000000357627869 0.0 1.9559999704360962 -9.0
15.600000381469727 15.5 21.599199295043945 21.596200942993164 4.501399993896484 31.42930030822754 21.618200302124023 0.3400000035762787 2.0190000534057617 0.09000000357627869 0.0 1.9359999895095825 -9.0

In total, there are 27 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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