Metocean: Historical collections
|
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d94j133.nc - 27.23N, 97.05W - 1994-11-10" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94j133) |
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 | 25.0585994720459 | 25.0580997467041 | 5.019199848175049 | 32.83530044555664 | 21.69059944152832 | 0.39899998903274536 | 4.288000106811523 | 112.0 | 2.187000036239624 | 1.4279999732971191 | 0.03200000151991844 |
2.5 | 2.5 | 25.06100082397461 | 25.060400009155273 | 5.019499778747559 | 32.83580017089844 | 21.690200805664062 | 0.5180000066757202 | 4.289000034332275 | 101.0 | 2.1440000534057617 | 1.4359999895095825 | 0.02800000086426735 |
3.0 | 3.0 | 25.060300827026367 | 25.05970001220703 | 5.019499778747559 | 32.835899353027344 | 21.690500259399414 | 0.843999981880188 | 4.288000106811523 | 89.9000015258789 | 2.0929999351501465 | 1.4359999895095825 | 0.028999999165534973 |
3.5 | 3.5 | 25.060300827026367 | 25.059499740600586 | 5.019499778747559 | 32.83580017089844 | 21.690500259399414 | 0.9449999928474426 | 4.288000106811523 | 77.80000305175781 | 2.0299999713897705 | 1.437000036239624 | 0.027000000700354576 |
4.0 | 4.0 | 25.06100082397461 | 25.060199737548828 | 5.019599914550781 | 32.83570098876953 | 21.690200805664062 | 0.8859999775886536 | 4.2870001792907715 | 73.9000015258789 | 2.007999897003174 | 1.4290000200271606 | 0.026000000536441803 |
4.5 | 4.5 | 25.059799194335938 | 25.058900833129883 | 5.0192999839782715 | 32.83470153808594 | 21.689899444580078 | 0.6019999980926514 | 4.275000095367432 | 69.0 | 1.9780000448226929 | 1.4199999570846558 | 0.027000000700354576 |
5.0 | 5.0 | 25.055599212646484 | 25.054500579833984 | 5.019000053405762 | 32.835201263427734 | 21.691499710083008 | 0.6069999933242798 | 4.289000034332275 | 62.20000076293945 | 1.9329999685287476 | 1.437999963760376 | 0.027000000700354576 |
5.5 | 5.5 | 25.055599212646484 | 25.054399490356445 | 5.019000053405762 | 32.83509826660156 | 21.691499710083008 | 0.9210000038146973 | 4.290999889373779 | 56.5 | 1.8910000324249268 | 1.444000005722046 | 0.02800000086426735 |
6.0 | 6.0 | 25.05769920349121 | 25.056400299072266 | 5.0192999839782715 | 32.83530044555664 | 21.691099166870117 | 1.0269999504089355 | 4.290999889373779 | 52.099998474121094 | 1.8559999465942383 | 1.4420000314712524 | 0.027000000700354576 |
6.5 | 6.5 | 25.056900024414062 | 25.055500030517578 | 5.019199848175049 | 32.83530044555664 | 21.691299438476562 | 0.9919999837875366 | 4.289999961853027 | 47.29999923706055 | 1.8140000104904175 | 1.4459999799728394 | 0.026000000536441803 |
7.0 | 7.0 | 25.056100845336914 | 25.05459976196289 | 5.019100189208984 | 32.83530044555664 | 21.691600799560547 | 0.7689999938011169 | 4.289000034332275 | 43.900001525878906 | 1.781999945640564 | 1.4470000267028809 | 0.026000000536441803 |
7.599999904632568 | 7.5 | 25.05389976501465 | 25.05229949951172 | 5.018799781799316 | 32.83409881591797 | 21.6914005279541 | 0.39500001072883606 | 4.289000034332275 | 40.599998474121094 | 1.7480000257492065 | 1.4429999589920044 | 0.027000000700354576 |
8.100000381469727 | 8.0 | 25.049299240112305 | 25.04759979248047 | 5.01800012588501 | 32.83150100708008 | 21.690900802612305 | 0.5569999814033508 | 4.289000034332275 | 38.099998474121094 | 1.7200000286102295 | 1.440999984741211 | 0.026000000536441803 |
8.600000381469727 | 8.5 | 25.047500610351562 | 25.045700073242188 | 5.0177998542785645 | 32.831199645996094 | 21.691200256347656 | 0.8180000185966492 | 4.289999961853027 | 35.599998474121094 | 1.690000057220459 | 1.4520000219345093 | 0.026000000536441803 |
9.100000381469727 | 9.0 | 25.04840087890625 | 25.04640007019043 | 5.0177998542785645 | 32.8307991027832 | 21.69070053100586 | 0.9380000233650208 | 4.284999847412109 | 34.400001525878906 | 1.6759999990463257 | 1.4470000267028809 | 0.026000000536441803 |
9.600000381469727 | 9.5 | 25.047500610351562 | 25.045499801635742 | 5.0177001953125 | 32.830501556396484 | 21.69070053100586 | 0.9279999732971191 | 4.288000106811523 | 32.20000076293945 | 1.6469999551773071 | 1.4329999685287476 | 0.027000000700354576 |
10.100000381469727 | 10.0 | 25.045900344848633 | 25.043699264526367 | 5.017600059509277 | 32.83060073852539 | 21.6914005279541 | 0.722000002861023 | 4.289000034332275 | 30.100000381469727 | 1.6169999837875366 | 1.4320000410079956 | 0.026000000536441803 |
10.600000381469727 | 10.5 | 25.047000885009766 | 25.044700622558594 | 5.0177998542785645 | 32.8306999206543 | 21.691099166870117 | 0.5040000081062317 | 4.288000106811523 | 27.5 | 1.5779999494552612 | 1.4490000009536743 | 0.026000000536441803 |
11.100000381469727 | 11.0 | 25.048599243164062 | 25.046199798583984 | 5.0177998542785645 | 32.829898834228516 | 21.690000534057617 | 0.8190000057220459 | 4.288000106811523 | 26.100000381469727 | 1.5549999475479126 | 1.4509999752044678 | 0.026000000536441803 |
11.600000381469727 | 11.5 | 25.04840087890625 | 25.045900344848633 | 5.017899990081787 | 32.8302001953125 | 21.690399169921875 | 0.9210000038146973 | 4.288000106811523 | 24.899999618530273 | 1.534999966621399 | 1.4539999961853027 | 0.026000000536441803 |
12.100000381469727 | 12.0 | 25.048900604248047 | 25.046300888061523 | 5.017899990081787 | 32.829898834228516 | 21.690099716186523 | 0.8840000033378601 | 4.2870001792907715 | 23.700000762939453 | 1.5140000581741333 | 1.4550000429153442 | 0.026000000536441803 |
12.600000381469727 | 12.5 | 25.048599243164062 | 25.045900344848633 | 5.017899990081787 | 32.830101013183594 | 21.69029998779297 | 0.652999997138977 | 4.2870001792907715 | 22.299999237060547 | 1.4880000352859497 | 1.4490000009536743 | 0.026000000536441803 |
13.100000381469727 | 13.0 | 25.04599952697754 | 25.04319953918457 | 5.0177998542785645 | 32.83110046386719 | 21.6919002532959 | 0.35100001096725464 | 4.288000106811523 | 21.299999237060547 | 1.468000054359436 | 1.434000015258789 | 0.029999999329447746 |
13.600000381469727 | 13.5 | 25.043699264526367 | 25.040800094604492 | 5.017600059509277 | 32.831298828125 | 21.692699432373047 | 0.4790000021457672 | 4.289999961853027 | 20.200000762939453 | 1.4450000524520874 | 1.4210000038146973 | 0.027000000700354576 |
14.100000381469727 | 14.0 | 25.043899536132812 | 25.0408992767334 | 5.0177001953125 | 32.83169937133789 | 21.69300079345703 | 0.5559999942779541 | 4.289000034332275 | 18.700000762939453 | 1.4119999408721924 | 1.4229999780654907 | 0.026000000536441803 |
14.600000381469727 | 14.5 | 25.04669952392578 | 25.043500900268555 | 5.017899990081787 | 32.83089828491211 | 21.691600799560547 | 0.6110000014305115 | 4.289000034332275 | 18.100000381469727 | 1.3960000276565552 | 1.4249999523162842 | 0.026000000536441803 |
15.100000381469727 | 15.0 | 25.049100875854492 | 25.045900344848633 | 5.018199920654297 | 32.831298828125 | 21.691200256347656 | 0.6299999952316284 | 4.288000106811523 | 17.299999237060547 | 1.378000020980835 | 1.4229999780654907 | 0.027000000700354576 |
15.600000381469727 | 15.5 | 25.051599502563477 | 25.048200607299805 | 5.018599987030029 | 32.832298278808594 | 21.691299438476562 | 0.5519999861717224 | 4.290999889373779 | 16.5 | 1.3569999933242798 | 1.4270000457763672 | 0.026000000536441803 |
16.100000381469727 | 16.0 | 25.053600311279297 | 25.050100326538086 | 5.019000053405762 | 32.833499908447266 | 21.691600799560547 | 0.39899998903274536 | 4.290999889373779 | 15.899999618530273 | 1.340000033378601 | 1.4279999732971191 | 0.02500000037252903 |
16.600000381469727 | 16.5 | 25.059499740600586 | 25.055999755859375 | 5.020100116729736 | 32.837100982666016 | 21.6924991607666 | 0.746999979019165 | 4.2820000648498535 | 15.300000190734863 | 1.3240000009536743 | 1.4259999990463257 | 0.026000000536441803 |
17.100000381469727 | 17.0 | 25.06730079650879 | 25.063600540161133 | 5.021500110626221 | 32.84149932861328 | 21.693500518798828 | 0.9190000295639038 | 4.294000148773193 | 14.5 | 1.2990000247955322 | 1.4249999523162842 | 0.026000000536441803 |
17.600000381469727 | 17.5 | 25.069000244140625 | 25.065200805664062 | 5.021900177001953 | 32.843299865722656 | 21.694400787353516 | 0.9269999861717224 | 4.294000148773193 | 13.600000381469727 | 1.2730000019073486 | 1.4249999523162842 | 0.026000000536441803 |
18.100000381469727 | 18.0 | 25.078399658203125 | 25.074499130249023 | 5.023799896240234 | 32.850101470947266 | 21.696800231933594 | 0.7540000081062317 | 4.295000076293945 | 12.800000190734863 | 1.246000051498413 | 1.4170000553131104 | 0.026000000536441803 |
18.600000381469727 | 18.5 | 25.11910057067871 | 25.115100860595703 | 5.030900001525879 | 32.87200164794922 | 21.701000213623047 | 0.5249999761581421 | 4.302999973297119 | 12.399999618530273 | 1.2330000400543213 | 1.4210000038146973 | 0.02500000037252903 |
19.100000381469727 | 19.0 | 25.16790008544922 | 25.163700103759766 | 5.039700031280518 | 32.901100158691406 | 21.70829963684082 | 0.8330000042915344 | 4.309000015258789 | 12.0 | 1.2170000076293945 | 1.4160000085830688 | 0.03099999949336052 |
19.600000381469727 | 19.5 | 25.252700805664062 | 25.24850082397461 | 5.059999942779541 | 32.98789978027344 | 21.74810028076172 | 0.9229999780654907 | 4.314000129699707 | 11.300000190734863 | 1.1920000314712524 | 1.4129999876022339 | 0.027000000700354576 |
20.100000381469727 | 20.0 | 25.350299835205078 | 25.34589958190918 | 5.085000038146973 | 33.09960174560547 | 21.802799224853516 | 0.8529999852180481 | 4.317999839782715 | 10.699999809265137 | 1.1670000553131104 | 1.4160000085830688 | 0.026000000536441803 |
20.600000381469727 | 20.5 | 25.437999725341797 | 25.433500289916992 | 5.110599994659424 | 33.22269821166992 | 21.868999481201172 | 0.5509999990463257 | 4.309000015258789 | 10.199999809265137 | 1.1460000276565552 | 1.4240000247955322 | 0.02500000037252903 |
21.100000381469727 | 21.0 | 25.56570053100586 | 25.561100006103516 | 5.162199974060059 | 33.505001068115234 | 22.042999267578125 | 0.42100000381469727 | 4.298999786376953 | 9.930000305175781 | 1.1360000371932983 | 1.4390000104904175 | 0.026000000536441803 |
21.600000381469727 | 21.5 | 25.645000457763672 | 25.640300750732422 | 5.191299915313721 | 33.658599853515625 | 22.134599685668945 | 0.6549999713897705 | 4.300000190734863 | 9.4399995803833 | 1.1139999628067017 | 1.4620000123977661 | 0.027000000700354576 |
22.100000381469727 | 22.0 | 25.716800689697266 | 25.711999893188477 | 5.217700004577637 | 33.79759979248047 | 22.21739959716797 | 0.7110000252723694 | 4.296000003814697 | 8.949999809265137 | 1.090999960899353 | 1.4470000267028809 | 0.027000000700354576 |
22.700000762939453 | 22.5 | 25.7716007232666 | 25.766599655151367 | 5.234899997711182 | 33.881900787353516 | 22.26409912109375 | 0.6510000228881836 | 4.297999858856201 | 8.529999732971191 | 1.0700000524520874 | 1.4420000314712524 | 0.02800000086426735 |
23.200000762939453 | 23.0 | 25.765499114990234 | 25.760400772094727 | 5.231900215148926 | 33.864601135253906 | 22.253000259399414 | 0.42800000309944153 | 4.288000106811523 | 8.260000228881836 | 1.055999994277954 | 1.4490000009536743 | 0.027000000700354576 |
23.700000762939453 | 23.5 | 25.910600662231445 | 25.905399322509766 | 5.281599998474121 | 34.11759948730469 | 22.39900016784668 | 0.3310000002384186 | 4.25 | 7.920000076293945 | 1.0379999876022339 | 1.465000033378601 | 0.02800000086426735 |
24.200000762939453 | 24.0 | 25.991199493408203 | 25.98579978942871 | 5.308199882507324 | 34.25090026855469 | 22.474599838256836 | 0.4480000138282776 | 4.205999851226807 | 7.670000076293945 | 1.0240000486373901 | 1.4700000286102295 | 0.03400000184774399 |
24.700000762939453 | 24.5 | 26.050800323486328 | 26.045299530029297 | 5.331099987030029 | 34.37200164794922 | 22.547399520874023 | 0.6209999918937683 | 4.191999912261963 | 7.389999866485596 | 1.0080000162124634 | 1.4819999933242798 | 0.04500000178813934 |
25.200000762939453 | 25.0 | 26.18280029296875 | 26.177200317382812 | 5.375699996948242 | 34.59579849243164 | 22.675100326538086 | 0.6859999895095825 | 4.025000095367432 | 7.059999942779541 | 0.9879999756813049 | 1.534000039100647 | 0.057999998331069946 |
25.700000762939453 | 25.5 | 26.318300247192383 | 26.3125 | 5.421000003814697 | 34.8213005065918 | 22.802799224853516 | 0.5989999771118164 | 3.8320000171661377 | 6.78000020980835 | 0.9700000286102295 | 1.6540000438690186 | 0.09399999678134918 |
26.200000762939453 | 26.0 | 26.35140037536621 | 26.345600128173828 | 5.429599761962891 | 34.85850143432617 | 22.82040023803711 | 0.39100000262260437 | 3.76200008392334 | 6.53000020980835 | 0.9539999961853027 | 1.8839999437332153 | 0.09000000357627869 |
26.700000762939453 | 26.5 | 26.413700103759766 | 26.407699584960938 | 5.452099800109863 | 34.9734001159668 | 22.887500762939453 | 0.6930000185966492 | 3.7060000896453857 | 6.239999771118164 | 0.9340000152587891 | 1.9789999723434448 | 0.0860000029206276 |
27.200000762939453 | 27.0 | 26.432100296020508 | 26.426000595092773 | 5.457300186157227 | 34.99720001220703 | 22.899700164794922 | 0.847000002861023 | 3.674999952316284 | 5.909999847412109 | 0.9110000133514404 | 1.9420000314712524 | 0.14800000190734863 |
27.700000762939453 | 27.5 | 26.438899993896484 | 26.432600021362305 | 5.459799766540527 | 35.0099983215332 | 22.90719985961914 | 0.8080000281333923 | 3.6610000133514404 | 5.489999771118164 | 0.8790000081062317 | 1.9190000295639038 | 0.17100000381469727 |
28.200000762939453 | 28.0 | 26.444799423217773 | 26.438499450683594 | 5.461699962615967 | 35.01839828491211 | 22.911800384521484 | 0.5230000019073486 | 3.617000102996826 | 4.989999771118164 | 0.8370000123977661 | 1.8209999799728394 | 0.1850000023841858 |
28.700000762939453 | 28.5 | 26.465599060058594 | 26.4591007232666 | 5.468699932098389 | 35.053199768066406 | 22.931499481201172 | 0.42399999499320984 | 3.5739998817443848 | 4.389999866485596 | 0.7820000052452087 | 1.7079999446868896 | 0.2150000035762787 |
29.200000762939453 | 29.0 | 26.46739959716797 | 26.460800170898438 | 5.468999862670898 | 35.05419921875 | 22.931699752807617 | 0.6100000143051147 | 3.553999900817871 | 4.010000228881836 | 0.7419999837875366 | 1.652999997138977 | 0.1979999989271164 |
29.700000762939453 | 29.5 | 26.468399047851562 | 26.461700439453125 | 5.469299793243408 | 35.05540084838867 | 22.932300567626953 | 0.5540000200271606 | 3.552999973297119 | 3.640000104904175 | 0.699999988079071 | 1.5980000495910645 | 0.20000000298023224 |
30.200000762939453 | 30.0 | 26.464399337768555 | 26.457500457763672 | 5.468400001525879 | 35.05189895629883 | 22.930999755859375 | 0.3370000123977661 | 3.562999963760376 | 3.2899999618530273 | 0.656000018119812 | 1.6959999799728394 | 0.19699999690055847 |
30.700000762939453 | 30.5 | 26.466400146484375 | 26.45949935913086 | 5.468599796295166 | 35.051300048828125 | 22.929899215698242 | 0.47699999809265137 | 3.507999897003174 | 2.9700000286102295 | 0.6119999885559082 | 1.7109999656677246 | 0.20900000631809235 |
In total, there are 58 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.