Metocean: Historical collections
|
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d93f180.nc - 27.26N, 97.21W - 1993-08-05" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93f180) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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.
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 | 28.1023006439209 | 28.101900100708008 | 5.822500228881836 | 36.3307991027832 | 23.364599227905273 | 0.4699999988079071 | 4.448999881744385 | 173.0 | 2.5269999504089355 | 0.9259999990463257 | -9.0 |
2.5 | 2.5 | 28.076499938964844 | 28.075899124145508 | 5.8196001052856445 | 36.330299377441406 | 23.372699737548828 | 0.6470000147819519 | 4.441999912261963 | 184.0 | 2.552000045776367 | 0.9269999861717224 | -9.0 |
3.0 | 3.0 | 27.811899185180664 | 27.811199188232422 | 5.789899826049805 | 36.32490158081055 | 23.455400466918945 | 0.6159999966621399 | 4.445000171661377 | 156.0 | 2.4809999465942383 | 0.9340000152587891 | -9.0 |
3.5 | 3.5 | 27.726200103759766 | 27.725400924682617 | 5.780300140380859 | 36.3224983215332 | 23.481700897216797 | 0.6710000038146973 | 4.445000171661377 | 120.0 | 2.36899995803833 | 0.9319999814033508 | -9.0 |
4.0 | 4.0 | 27.604799270629883 | 27.60379981994629 | 5.767199993133545 | 36.32350158691406 | 23.521900177001953 | 0.7149999737739563 | 4.446000099182129 | 124.0 | 2.38100004196167 | 0.9139999747276306 | -9.0 |
4.5 | 4.5 | 27.330299377441406 | 27.329200744628906 | 5.736000061035156 | 36.31489944458008 | 23.60460090637207 | 0.699999988079071 | 4.439000129699707 | 130.0 | 2.4019999504089355 | 0.9070000052452087 | -9.0 |
5.0 | 5.0 | 27.27589988708496 | 27.274700164794922 | 5.729499816894531 | 36.310699462890625 | 23.61910057067871 | 0.6669999957084656 | 4.438000202178955 | 122.0 | 2.375999927520752 | 0.9179999828338623 | -9.0 |
5.5 | 5.5 | 27.13249969482422 | 27.131200790405273 | 5.713600158691406 | 36.30830001831055 | 23.66349983215332 | 0.6660000085830688 | 4.438000202178955 | 94.80000305175781 | 2.265000104904175 | 0.9459999799728394 | -9.0 |
6.0 | 6.0 | 27.112600326538086 | 27.1112003326416 | 5.711100101470947 | 36.30569839477539 | 23.667999267578125 | 0.6830000281333923 | 4.435999870300293 | 88.30000305175781 | 2.2339999675750732 | 0.9620000123977661 | -9.0 |
6.5 | 6.5 | 26.96179962158203 | 26.96030044555664 | 5.6940999031066895 | 36.301700592041016 | 23.71339988708496 | 0.6949999928474426 | 4.434999942779541 | 94.80000305175781 | 2.265000104904175 | 0.9890000224113464 | -9.0 |
7.0 | 7.0 | 26.700899124145508 | 26.69930076599121 | 5.66510009765625 | 36.296600341796875 | 23.792999267578125 | 0.6949999928474426 | 4.428999900817871 | 86.30000305175781 | 2.2239999771118164 | 1.3009999990463257 | -9.0 |
7.599999904632568 | 7.5 | 26.447900772094727 | 26.446199417114258 | 5.637199878692627 | 36.29359817504883 | 23.8710994720459 | 0.6930000185966492 | 4.423999786376953 | 76.19999694824219 | 2.1700000762939453 | 1.2599999904632568 | -9.0 |
8.100000381469727 | 8.0 | 26.289899826049805 | 26.28809928894043 | 5.619699954986572 | 36.29090118408203 | 23.91900062561035 | 0.6859999895095825 | 4.425000190734863 | 74.0999984741211 | 2.1579999923706055 | 1.1710000038146973 | -9.0 |
8.600000381469727 | 8.5 | 26.158599853515625 | 26.156600952148438 | 5.605100154876709 | 36.28799819946289 | 23.95829963684082 | 0.6800000071525574 | 4.426000118255615 | 71.4000015258789 | 2.1419999599456787 | 1.093000054359436 | -9.0 |
9.100000381469727 | 9.0 | 25.98979949951172 | 25.98780059814453 | 5.58650016784668 | 36.28519821166992 | 24.00909996032715 | 0.6840000152587891 | 4.423999786376953 | 70.0 | 2.132999897003174 | 1.0540000200271606 | -9.0 |
9.600000381469727 | 9.5 | 25.697200775146484 | 25.69499969482422 | 5.554100036621094 | 36.28010177612305 | 24.096500396728516 | 0.6909999847412109 | 4.426000118255615 | 66.19999694824219 | 2.1089999675750732 | 1.0149999856948853 | -9.0 |
10.100000381469727 | 10.0 | 25.037099838256836 | 25.034900665283203 | 5.48199987411499 | 36.27349853515625 | 24.29509925842285 | 0.6959999799728394 | 4.427000045776367 | 63.20000076293945 | 2.0889999866485596 | 1.0160000324249268 | -9.0 |
10.600000381469727 | 10.5 | 24.434900283813477 | 24.432600021362305 | 5.4166998863220215 | 36.2692985534668 | 24.47480010986328 | 0.6919999718666077 | 4.427000045776367 | 62.599998474121094 | 2.0850000381469727 | 1.031999945640564 | -9.0 |
11.100000381469727 | 11.0 | 24.23240089416504 | 24.230100631713867 | 5.394499778747559 | 36.265201568603516 | 24.53260040283203 | 0.6790000200271606 | 4.422999858856201 | 56.70000076293945 | 2.0420000553131104 | 1.0379999876022339 | -9.0 |
11.600000381469727 | 11.5 | 24.077899932861328 | 24.07539939880371 | 5.377299785614014 | 36.26060104370117 | 24.575300216674805 | 0.6470000147819519 | 4.410999774932861 | 53.900001525878906 | 2.0199999809265137 | 1.0479999780654907 | -9.0 |
12.100000381469727 | 12.0 | 23.886999130249023 | 23.88450050354004 | 5.356100082397461 | 36.254398345947266 | 24.627399444580078 | 0.6140000224113464 | 4.324999809265137 | 56.599998474121094 | 2.0409998893737793 | 1.0700000524520874 | -9.0 |
12.600000381469727 | 12.5 | 23.784500122070312 | 23.78190040588379 | 5.344399929046631 | 36.248600006103516 | 24.653499603271484 | 0.6100000143051147 | 4.229000091552734 | 56.099998474121094 | 2.0369999408721924 | 1.1399999856948853 | -9.0 |
13.100000381469727 | 13.0 | 23.732500076293945 | 23.729700088500977 | 5.3383002281188965 | 36.24470138549805 | 24.6658992767334 | 0.6209999918937683 | 4.1620001792907715 | 50.70000076293945 | 1.9930000305175781 | 1.2050000429153442 | -9.0 |
13.600000381469727 | 13.5 | 23.693300247192383 | 23.690399169921875 | 5.333899974822998 | 36.243099212646484 | 24.67639923095703 | 0.6240000128746033 | 4.104000091552734 | 45.5 | 1.9459999799728394 | 1.2719999551773071 | -9.0 |
14.100000381469727 | 14.0 | 23.661500930786133 | 23.65850067138672 | 5.330599784851074 | 36.24300003051758 | 24.685699462890625 | 0.5920000076293945 | 4.039999961853027 | 44.099998474121094 | 1.9329999685287476 | 1.315000057220459 | -9.0 |
14.600000381469727 | 14.5 | 23.666099548339844 | 23.663000106811523 | 5.331299781799316 | 36.24509811401367 | 24.68600082397461 | 0.39500001072883606 | 3.9739999771118164 | 43.400001525878906 | 1.9259999990463257 | 1.3910000324249268 | -9.0 |
15.100000381469727 | 15.0 | 23.6924991607666 | 23.68939971923828 | 5.33519983291626 | 36.25299835205078 | 24.684099197387695 | 0.5270000100135803 | 3.931999921798706 | 37.900001525878906 | 1.8669999837875366 | 1.4550000429153442 | -9.0 |
15.600000381469727 | 15.5 | 23.663400650024414 | 23.66010093688965 | 5.332099914550781 | 36.25299835205078 | 24.692800521850586 | 0.29899999499320984 | 3.9200000762939453 | 37.099998474121094 | 1.8569999933242798 | 1.496999979019165 | -9.0 |
16.100000381469727 | 16.0 | 23.645700454711914 | 23.64229965209961 | 5.33050012588501 | 36.25510025024414 | 24.699600219726562 | 0.5170000195503235 | 3.9019999504089355 | 34.29999923706055 | 1.8229999542236328 | 1.5160000324249268 | -9.0 |
16.600000381469727 | 16.5 | 23.63479995727539 | 23.63129997253418 | 5.329500198364258 | 36.25590133666992 | 24.703500747680664 | 0.6610000133514404 | 3.8499999046325684 | 31.200000762939453 | 1.781999945640564 | 1.534999966621399 | -9.0 |
17.100000381469727 | 17.0 | 23.633499145507812 | 23.629899978637695 | 5.329400062561035 | 36.25630187988281 | 24.704200744628906 | 0.625 | 3.753000020980835 | 28.799999237060547 | 1.746999979019165 | 1.5700000524520874 | -9.0 |
17.600000381469727 | 17.5 | 23.63629913330078 | 23.632600784301758 | 5.329800128936768 | 36.25659942626953 | 24.70359992980957 | 0.3479999899864197 | 3.7360000610351562 | 26.399999618530273 | 1.7100000381469727 | 1.6230000257492065 | -9.0 |
18.100000381469727 | 18.0 | 23.64240074157715 | 23.638599395751953 | 5.3308000564575195 | 36.259300231933594 | 24.703899383544922 | 0.18400000035762787 | 3.7660000324249268 | 23.399999618530273 | 1.656999945640564 | 1.6549999713897705 | -9.0 |
18.600000381469727 | 18.5 | 23.642099380493164 | 23.638200759887695 | 5.330999851226807 | 36.26110076904297 | 24.705400466918945 | 0.296999990940094 | 3.7950000762939453 | 21.700000762939453 | 1.6239999532699585 | 1.6390000581741333 | -9.0 |
19.100000381469727 | 19.0 | 23.63960075378418 | 23.63559913635254 | 5.3308000564575195 | 36.26139831542969 | 24.70639991760254 | 0.3019999861717224 | 3.7820000648498535 | 19.700000762939453 | 1.5820000171661377 | 1.6380000114440918 | -9.0 |
19.600000381469727 | 19.5 | 23.634000778198242 | 23.629899978637695 | 5.3302998542785645 | 36.26179885864258 | 24.70840072631836 | 0.2930000126361847 | 3.743000030517578 | 17.5 | 1.531999945640564 | 1.6469999551773071 | -9.0 |
20.100000381469727 | 20.0 | 23.633800506591797 | 23.629600524902344 | 5.3302998542785645 | 36.26129913330078 | 24.708099365234375 | 0.1979999989271164 | 3.703000068664551 | 15.5 | 1.4780000448226929 | 1.6519999504089355 | -9.0 |
20.600000381469727 | 20.5 | 23.63159942626953 | 23.627300262451172 | 5.329800128936768 | 36.25979995727539 | 24.707599639892578 | 0.24199999868869781 | 3.6040000915527344 | 13.699999809265137 | 1.4249999523162842 | 1.6670000553131104 | -9.0 |
In total, there are 38 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.
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.