Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d93e122.nc - 28.62N, 94.64W - 1993-05-03" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93e122) |
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 | 21.50040054321289 | 21.5 | 4.769800186157227 | 33.61589813232422 | 23.305999755859375 | 0.3720000088214874 | 4.438000202178955 | 178.0 | 3.2809998989105225 | 1.246000051498413 | -9.0 |
2.5 | 2.5 | 21.498300552368164 | 21.497800827026367 | 4.769700050354004 | 33.61600112915039 | 23.30660057067871 | 0.621999979019165 | 4.436999797821045 | 182.0 | 3.2890000343322754 | 1.25600004196167 | -9.0 |
3.0 | 3.0 | 21.498199462890625 | 21.497600555419922 | 4.769599914550781 | 33.615699768066406 | 23.306499481201172 | 0.621999979019165 | 4.435999870300293 | 181.0 | 3.2869999408721924 | 1.2430000305175781 | -9.0 |
3.5 | 3.5 | 21.497299194335938 | 21.496700286865234 | 4.769599914550781 | 33.61579895019531 | 23.306800842285156 | 0.6589999794960022 | 4.434999942779541 | 119.0 | 3.1070001125335693 | 1.2289999723434448 | -9.0 |
4.0 | 4.0 | 21.49690055847168 | 21.4960994720459 | 4.769599914550781 | 33.61579895019531 | 23.30699920654297 | 0.7670000195503235 | 4.440000057220459 | 123.0 | 3.11899995803833 | 1.2400000095367432 | -9.0 |
4.5 | 4.5 | 21.49720001220703 | 21.496299743652344 | 4.769599914550781 | 33.6161003112793 | 23.307100296020508 | 0.8529999852180481 | 4.440999984741211 | 95.69999694824219 | 3.010999917984009 | 1.2419999837875366 | -9.0 |
5.0 | 5.0 | 21.5039005279541 | 21.502899169921875 | 4.770299911499023 | 33.615699768066406 | 23.30500030517578 | 0.8700000047683716 | 4.440000057220459 | 94.4000015258789 | 3.005000114440918 | 1.2400000095367432 | -9.0 |
5.5 | 5.5 | 21.5093994140625 | 21.508399963378906 | 4.770899772644043 | 33.6161994934082 | 23.30389976501465 | 0.8050000071525574 | 4.439000129699707 | 89.30000305175781 | 2.9809999465942383 | 1.2450000047683716 | -9.0 |
6.0 | 6.0 | 21.50670051574707 | 21.505599975585938 | 4.770699977874756 | 33.6161003112793 | 23.30459976196289 | 0.6679999828338623 | 4.439000129699707 | 80.30000305175781 | 2.934999942779541 | 1.246999979019165 | -9.0 |
6.5 | 6.5 | 21.506099700927734 | 21.50480079650879 | 4.770599842071533 | 33.61579895019531 | 23.30459976196289 | 0.5540000200271606 | 4.440000057220459 | 65.19999694824219 | 2.8440001010894775 | 1.2419999837875366 | -9.0 |
7.0 | 7.0 | 21.505699157714844 | 21.5044002532959 | 4.770400047302246 | 33.61479949951172 | 23.30389976501465 | 0.6119999885559082 | 4.441999912261963 | 64.4000015258789 | 2.8389999866485596 | 1.2400000095367432 | -9.0 |
7.599999904632568 | 7.5 | 21.507600784301758 | 21.506200790405273 | 4.7708001136779785 | 33.6161994934082 | 23.304500579833984 | 0.7400000095367432 | 4.438000202178955 | 57.79999923706055 | 2.7920000553131104 | 1.25600004196167 | -9.0 |
8.100000381469727 | 8.0 | 21.508399963378906 | 21.506799697875977 | 4.770899772644043 | 33.61640167236328 | 23.304500579833984 | 0.8100000023841858 | 4.435999870300293 | 52.5 | 2.75 | 1.2719999551773071 | -9.0 |
8.600000381469727 | 8.5 | 21.51059913635254 | 21.509000778198242 | 4.771399974822998 | 33.61840057373047 | 23.305400848388672 | 0.8159999847412109 | 4.434999942779541 | 51.0 | 2.73799991607666 | 1.2669999599456787 | -9.0 |
9.100000381469727 | 9.0 | 21.51460075378418 | 21.512800216674805 | 4.77209997177124 | 33.62009811401367 | 23.305700302124023 | 0.7730000019073486 | 4.436999797821045 | 49.29999923706055 | 2.7230000495910645 | 1.2760000228881836 | -9.0 |
9.600000381469727 | 9.5 | 21.515899658203125 | 21.513999938964844 | 4.772500038146973 | 33.62200164794922 | 23.306800842285156 | 0.6940000057220459 | 4.438000202178955 | 42.70000076293945 | 2.6600000858306885 | 1.2740000486373901 | -9.0 |
10.100000381469727 | 10.0 | 21.516199111938477 | 21.514299392700195 | 4.77269983291626 | 33.62350082397461 | 23.307899475097656 | 0.6340000033378601 | 4.438000202178955 | 40.599998474121094 | 2.6389999389648438 | 1.281999945640564 | -9.0 |
10.600000381469727 | 10.5 | 21.516300201416016 | 21.514299392700195 | 4.772900104522705 | 33.6245002746582 | 23.3085994720459 | 0.6769999861717224 | 4.434000015258789 | 37.70000076293945 | 2.6059999465942383 | 1.2690000534057617 | -9.0 |
11.100000381469727 | 11.0 | 21.515899658203125 | 21.5137996673584 | 4.773200035095215 | 33.62770080566406 | 23.311100006103516 | 0.7789999842643738 | 4.434999942779541 | 36.099998474121094 | 2.5869998931884766 | 1.2660000324249268 | -9.0 |
11.600000381469727 | 11.5 | 21.516599655151367 | 21.514299392700195 | 4.773900032043457 | 33.63180160522461 | 23.31410026550293 | 0.8259999752044678 | 4.432000160217285 | 31.700000762939453 | 2.5309998989105225 | 1.2489999532699585 | -9.0 |
12.100000381469727 | 12.0 | 21.51729965209961 | 21.514999389648438 | 4.774499893188477 | 33.63589859008789 | 23.317100524902344 | 0.781000018119812 | 4.434999942779541 | 29.0 | 2.493000030517578 | 1.2419999837875366 | -9.0 |
12.600000381469727 | 12.5 | 21.517099380493164 | 21.514699935913086 | 4.775400161743164 | 33.64339828491211 | 23.322900772094727 | 0.6579999923706055 | 4.435999870300293 | 29.399999618530273 | 2.497999906539917 | 1.2519999742507935 | -9.0 |
13.100000381469727 | 13.0 | 21.514400482177734 | 21.511899948120117 | 4.776500225067139 | 33.65370178222656 | 23.33139991760254 | 0.5479999780654907 | 4.436999797821045 | 29.5 | 2.5 | 1.253000020980835 | -9.0 |
13.600000381469727 | 13.5 | 21.510000228881836 | 21.507400512695312 | 4.777200222015381 | 33.662899017333984 | 23.33970069885254 | 0.6019999980926514 | 4.428999900817871 | 25.0 | 2.427999973297119 | 1.2640000581741333 | -9.0 |
14.100000381469727 | 14.0 | 21.49489974975586 | 21.49220085144043 | 4.778299808502197 | 33.683101654052734 | 23.35919952392578 | 0.7649999856948853 | 4.425000190734863 | 23.700000762939453 | 2.4040000438690186 | 1.2660000324249268 | -9.0 |
14.600000381469727 | 14.5 | 21.472000122070312 | 21.469100952148438 | 4.779200077056885 | 33.707801818847656 | 23.384300231933594 | 0.9039999842643738 | 4.419000148773193 | 23.399999618530273 | 2.3989999294281006 | 1.2569999694824219 | -9.0 |
15.100000381469727 | 15.0 | 21.446300506591797 | 21.44339942932129 | 4.779600143432617 | 33.73080062866211 | 23.40880012512207 | 0.9639999866485596 | 4.414999961853027 | 22.100000381469727 | 2.374000072479248 | 1.2740000486373901 | -9.0 |
15.600000381469727 | 15.5 | 21.292999267578125 | 21.290000915527344 | 4.777200222015381 | 33.833099365234375 | 23.52829933166504 | 0.9290000200271606 | 4.388999938964844 | 20.899999618530273 | 2.3499999046325684 | 1.312000036239624 | -9.0 |
16.100000381469727 | 16.0 | 20.45400047302246 | 20.451000213623047 | 4.760000228881836 | 34.36640167236328 | 24.160400390625 | 0.7870000004768372 | 4.0370001792907715 | 19.5 | 2.321000099182129 | 1.3869999647140503 | -9.0 |
16.600000381469727 | 16.5 | 20.3705997467041 | 20.36750030517578 | 4.75570011138916 | 34.39889907836914 | 24.207500457763672 | 0.5569999814033508 | 3.8350000381469727 | 18.200000762939453 | 2.2909998893737793 | 1.5110000371932983 | -9.0 |
17.100000381469727 | 17.0 | 20.359600067138672 | 20.356399536132812 | 4.754300117492676 | 34.39609909057617 | 24.208200454711914 | 0.4909999966621399 | 3.806999921798706 | 17.100000381469727 | 2.2639999389648438 | 1.6619999408721924 | -9.0 |
17.600000381469727 | 17.5 | 20.35140037536621 | 20.348100662231445 | 4.753499984741211 | 34.395999908447266 | 24.210399627685547 | 0.7260000109672546 | 3.742000102996826 | 16.899999618530273 | 2.256999969482422 | 1.718999981880188 | -9.0 |
18.100000381469727 | 18.0 | 20.347200393676758 | 20.343799591064453 | 4.7530999183654785 | 34.39590072631836 | 24.21139907836914 | 0.878000020980835 | 3.7109999656677246 | 15.800000190734863 | 2.2279999256134033 | 1.7269999980926514 | -9.0 |
18.600000381469727 | 18.5 | 20.3435001373291 | 20.34000015258789 | 4.752699851989746 | 34.395599365234375 | 24.212200164794922 | 0.906000018119812 | 3.697000026702881 | 14.300000190734863 | 2.186000108718872 | 1.7309999465942383 | -9.0 |
19.100000381469727 | 19.0 | 20.339799880981445 | 20.336200714111328 | 4.752399921417236 | 34.39630126953125 | 24.21380043029785 | 0.8299999833106995 | 3.683000087738037 | 12.699999809265137 | 2.132999897003174 | 1.7339999675750732 | -9.0 |
19.600000381469727 | 19.5 | 20.335800170898438 | 20.332199096679688 | 4.752099990844727 | 34.39699935913086 | 24.21540069580078 | 0.6890000104904175 | 3.677000045776367 | 11.0 | 2.072000026702881 | 1.7280000448226929 | -9.0 |
20.100000381469727 | 20.0 | 20.334699630737305 | 20.330900192260742 | 4.752099990844727 | 34.397499084472656 | 24.216100692749023 | 0.593999981880188 | 3.6600000858306885 | 9.90999984741211 | 2.0260000228881836 | 1.7480000257492065 | -9.0 |
20.600000381469727 | 20.5 | 20.33300018310547 | 20.329200744628906 | 4.751999855041504 | 34.397701263427734 | 24.216699600219727 | 0.6549999713897705 | 3.631999969482422 | 8.869999885559082 | 1.9780000448226929 | 1.7549999952316284 | -9.0 |
21.100000381469727 | 21.0 | 20.332000732421875 | 20.328100204467773 | 4.751999855041504 | 34.39820098876953 | 24.21739959716797 | 0.7379999756813049 | 3.635999917984009 | 7.78000020980835 | 1.9210000038146973 | 1.746000051498413 | -9.0 |
21.600000381469727 | 21.5 | 20.328500747680664 | 20.324499130249023 | 4.751699924468994 | 34.398799896240234 | 24.218799591064453 | 0.765999972820282 | 3.6040000915527344 | 6.760000228881836 | 1.8600000143051147 | 1.7350000143051147 | -9.0 |
22.100000381469727 | 22.0 | 20.328100204467773 | 20.323999404907227 | 4.751699924468994 | 34.39910125732422 | 24.219200134277344 | 0.7549999952316284 | 3.5769999027252197 | 5.940000057220459 | 1.8040000200271606 | 1.7680000066757202 | -9.0 |
22.700000762939453 | 22.5 | 20.32670021057129 | 20.322500228881836 | 4.751699924468994 | 34.39970016479492 | 24.219999313354492 | 0.7319999933242798 | 3.568000078201294 | 5.320000171661377 | 1.75600004196167 | 1.8049999475479126 | -9.0 |
23.200000762939453 | 23.0 | 20.3262996673584 | 20.32200050354004 | 4.751699924468994 | 34.400299072265625 | 24.220600128173828 | 0.7250000238418579 | 3.561000108718872 | 4.739999771118164 | 1.7059999704360962 | 1.7879999876022339 | -9.0 |
23.700000762939453 | 23.5 | 20.3262996673584 | 20.3218994140625 | 4.751800060272217 | 34.400699615478516 | 24.22089958190918 | 0.7129999995231628 | 3.562999963760376 | 4.170000076293945 | 1.649999976158142 | 1.7829999923706055 | -9.0 |
24.200000762939453 | 24.0 | 20.326000213623047 | 20.32159996032715 | 4.751800060272217 | 34.400699615478516 | 24.22100067138672 | 0.6029999852180481 | 3.563999891281128 | 3.609999895095825 | 1.5880000591278076 | 1.7799999713897705 | -9.0 |
24.700000762939453 | 24.5 | 20.3262996673584 | 20.321699142456055 | 4.7519001960754395 | 34.40129852294922 | 24.221500396728516 | 0.4620000123977661 | 3.569000005722046 | 3.119999885559082 | 1.5240000486373901 | 1.7769999504089355 | -9.0 |
25.200000762939453 | 25.0 | 20.326400756835938 | 20.321699142456055 | 4.751999855041504 | 34.4015007019043 | 24.221599578857422 | 0.42500001192092896 | 3.5309998989105225 | 2.7200000286102295 | 1.465000033378601 | 1.7680000066757202 | -9.0 |
25.700000762939453 | 25.5 | 20.326200485229492 | 20.321500778198242 | 4.752099990844727 | 34.402400970458984 | 24.222400665283203 | 0.4269999861717224 | 3.5739998817443848 | 2.4000000953674316 | 1.4110000133514404 | 1.7599999904632568 | -9.0 |
26.200000762939453 | 26.0 | 20.3262996673584 | 20.321399688720703 | 4.752200126647949 | 34.40290069580078 | 24.22279930114746 | 0.4050000011920929 | 3.555999994277954 | 2.130000114440918 | 1.3589999675750732 | 1.7519999742507935 | -9.0 |
26.700000762939453 | 26.5 | 20.331199645996094 | 20.326200485229492 | 4.752600193023682 | 34.40190124511719 | 24.220699310302734 | 0.26899999380111694 | 3.5480000972747803 | 1.850000023841858 | 1.2979999780654907 | 1.7640000581741333 | -9.0 |
27.200000762939453 | 27.0 | 20.33930015563965 | 20.334199905395508 | 4.752999782562256 | 34.39830017089844 | 24.215900421142578 | 0.2199999988079071 | 3.5739998817443848 | 1.600000023841858 | 1.2350000143051147 | 1.7790000438690186 | -9.0 |
27.700000762939453 | 27.5 | 20.332399368286133 | 20.327299118041992 | 4.752900123596191 | 34.4031982421875 | 24.221399307250977 | 0.5389999747276306 | 3.5169999599456787 | 1.4299999475479126 | 1.184000015258789 | 1.777999997138977 | -9.0 |
28.200000762939453 | 28.0 | 20.3341007232666 | 20.328899383544922 | 4.752900123596191 | 34.40169906616211 | 24.21980094909668 | 0.5249999761581421 | 3.552000045776367 | 1.2599999904632568 | 1.1299999952316284 | 1.7699999809265137 | -9.0 |
28.700000762939453 | 28.5 | 20.346900939941406 | 20.34160041809082 | 4.753399848937988 | 34.39469909667969 | 24.211200714111328 | 0.24300000071525574 | 3.552000045776367 | 1.090000033378601 | 1.0679999589920044 | 1.7610000371932983 | -9.0 |
In total, there are 54 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.