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Dataset Title:  "LATEX CTD - d94h031.nc - 28.9N, 90.51W - 1994-04-27" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h031)
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   22 options
    salinity ?  =  PSU   23 options
    sigmat ?  =  kg m-3   25 options
    descentRate ?  =  meters per second   26 options
    transmission ?  =  percent   21 options
    par ?  =  umol m-2 s-1   8 options
    parv ?  =  volts   8 options
    fluorescence ?  =  volts   23 options
    backscattering ?  =  volts   18 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
2.0 2.0 23.759899139404297 23.7593994140625 5.037899971008301 33.94129943847656 22.912399291992188 0.3610000014305115 4.158999919891357 1.1399999856948853 0.3869999945163727 0.4659999907016754 0.06199999898672104
2.5 2.5 23.760900497436523 23.760400772094727 5.037899971008301 33.94089889526367 22.91189956665039 0.36000001430511475 4.171000003814697 0.8500000238418579 0.2590000033378601 0.4690000116825104 0.06800000369548798
3.0 3.0 23.767099380493164 23.766399383544922 5.0381999015808105 33.937801361083984 22.907800674438477 0.5519999861717224 4.151000022888184 0.800000011920929 0.2370000034570694 0.4449999928474426 0.0689999982714653
3.5 3.5 23.781200408935547 23.780399322509766 5.039400100708008 33.93600082397461 22.902299880981445 0.6660000085830688 4.164000034332275 0.550000011920929 0.07400000095367432 0.4580000042915344 0.06199999898672104
4.0 4.0 23.793899536132812 23.793100357055664 5.040599822998047 33.935298919677734 22.898000717163086 0.6230000257492065 4.175000190734863 0.5699999928474426 0.08799999952316284 0.4690000116825104 0.05999999865889549
4.5 4.5 23.803300857543945 23.802400588989258 5.041900157928467 33.937599182128906 22.8971004486084 0.5 4.175000190734863 0.49000000953674316 0.020999999716877937 0.4659999907016754 0.06400000303983688
5.0 5.0 23.782899856567383 23.78190040588379 5.039700031280518 33.9369010925293 22.902599334716797 0.30799999833106995 4.177999973297119 0.46000000834465027 -9.0 0.43799999356269836 0.05999999865889549
5.5 5.5 23.776199340820312 23.774999618530273 5.039100170135498 33.93730163574219 22.90489959716797 0.48100000619888306 4.178999900817871 0.4699999988079071 0.0 0.42399999499320984 0.06400000303983688
6.0 6.0 23.77790069580078 23.776599884033203 5.0395002365112305 33.938499450683594 22.90530014038086 0.7039999961853027 4.173999786376953 0.4699999988079071 0.0 0.43799999356269836 0.061000000685453415
6.5 6.5 23.782400131225586 23.7810001373291 5.03980016708374 33.937599182128906 22.90329933166504 0.7070000171661377 4.173999786376953 0.4699999988079071 0.0 0.42100000381469727 0.061000000685453415
7.0 7.0 23.765899658203125 23.764400482177734 5.038300037384033 33.93880081176758 22.909099578857422 0.5910000205039978 4.170000076293945 0.4699999988079071 0.0 0.6179999709129333 0.06499999761581421
7.599999904632568 7.5 23.763700485229492 23.762100219726562 5.038000106811523 33.937599182128906 22.90880012512207 0.453000009059906 4.173999786376953 0.4699999988079071 0.0 0.753000020980835 0.06300000101327896
8.100000381469727 8.0 23.76460075378418 23.76289939880371 5.038000106811523 33.9369010925293 22.908100128173828 0.32600000500679016 4.170000076293945 0.4699999988079071 0.0 0.5260000228881836 0.061000000685453415
8.600000381469727 8.5 23.762800216674805 23.76099967956543 5.037899971008301 33.937198638916016 22.90880012512207 0.40799999237060547 4.171999931335449 0.4699999988079071 0.0 0.5270000100135803 0.057999998331069946
9.100000381469727 9.0 23.753599166870117 23.751800537109375 5.037899971008301 33.944400787353516 22.91699981689453 0.7059999704360962 4.171000003814697 0.4699999988079071 0.0 0.5139999985694885 0.06199999898672104
9.600000381469727 9.5 23.65570068359375 23.65369987487793 5.037499904632568 34.015899658203125 22.999799728393555 0.824999988079071 4.14300012588501 0.4699999988079071 0.0 0.4779999852180481 0.06199999898672104
10.100000381469727 10.0 23.196800231933594 23.194700241088867 5.025100231170654 34.27619934082031 23.3302001953125 0.7670000195503235 4.079999923706055 0.4699999988079071 0.0 0.46700000762939453 0.06700000166893005
10.600000381469727 10.5 22.96739959716797 22.965299606323242 5.017199993133545 34.393699645996094 23.48539924621582 0.49000000953674316 4.044000148773193 0.4699999988079071 0.0 0.47999998927116394 0.07800000160932541
11.100000381469727 11.0 22.072500228881836 22.07029914855957 4.927599906921387 34.403499603271484 23.746700286865234 0.23100000619888306 3.875999927520752 0.4699999988079071 0.0 0.460999995470047 0.06400000303983688
11.600000381469727 11.5 21.958099365234375 21.955799102783203 4.926499843597412 34.485599517822266 23.84079933166504 0.2720000147819519 3.618000030517578 0.4699999988079071 0.0 0.5239999890327454 0.11500000208616257
12.100000381469727 12.0 21.890600204467773 21.888200759887695 4.925899982452393 34.5349006652832 23.8971004486084 0.2800000011920929 3.309999942779541 0.4699999988079071 0.0 0.6259999871253967 0.12800000607967377
12.600000381469727 12.5 21.886199951171875 21.883699417114258 4.927700042724609 34.5526008605957 23.911800384521484 0.4569999873638153 3.2669999599456787 0.4699999988079071 0.0 0.6359999775886536 0.16500000655651093
13.100000381469727 13.0 21.90570068359375 21.903099060058594 4.930600166320801 34.55889892578125 23.91119956970215 0.578000009059906 3.4059998989105225 0.4699999988079071 0.0 0.621999979019165 0.22100000083446503
13.600000381469727 13.5 21.889799118041992 21.88719940185547 4.928500175476074 34.555198669433594 23.912900924682617 0.4320000112056732 3.3589999675750732 0.4699999988079071 0.0 0.6399999856948853 0.2370000034570694
14.100000381469727 14.0 21.872900009155273 21.870100021362305 4.926000118255615 34.54880142211914 23.912700653076172 0.38600000739097595 3.2860000133514404 0.4699999988079071 0.0 0.671999990940094 0.25600001215934753
14.600000381469727 14.5 21.852500915527344 21.849700927734375 4.922900199890137 34.54069900512695 23.91230010986328 0.19099999964237213 3.2119998931884766 0.4699999988079071 0.0 0.6690000295639038 0.29100000858306885

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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