Metocean: Historical collections
|
Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "NEGOM CTD - n1l10s03.nc - 28.51N, 83.36W - 1997-11-18" |
Institution: | OCEAN.TAMU (Dataset ID: negom_n1l10s03) |
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 |
2.5 | 2.5 | 20.728099822998047 | 20.72760009765625 | 4.957900047302246 | 35.74330139160156 | 25.134000778198242 | 0.21899999678134918 | 4.238999843597412 | 112.0 | 2.2019999027252197 | 1.2139999866485596 | 0.14900000393390656 |
3.0 | 3.0 | 20.729900360107422 | 20.729299545288086 | 4.958399772644043 | 35.74489974975586 | 25.134700775146484 | 0.2709999978542328 | 4.238999843597412 | 104.9000015258789 | 2.1740000247955322 | 1.2350000143051147 | 0.15299999713897705 |
3.5 | 3.5 | 20.72570037841797 | 20.725000381469727 | 4.957499980926514 | 35.74150085449219 | 25.13330078125 | 0.257999986410141 | 4.242000102996826 | 92.62999725341797 | 2.119999885559082 | 1.2309999465942383 | 0.15700000524520874 |
4.0 | 4.0 | 20.72920036315918 | 20.7283992767334 | 4.958199977874756 | 35.744300842285156 | 25.13450050354004 | 0.2070000022649765 | 4.241000175476074 | 84.1500015258789 | 2.078000068664551 | 1.2029999494552612 | 0.1550000011920929 |
4.5 | 4.5 | 20.7273006439209 | 20.72640037536621 | 4.957900047302246 | 35.74250030517578 | 25.133699417114258 | 0.23100000619888306 | 4.241000175476074 | 76.31999969482422 | 2.0360000133514404 | 1.1959999799728394 | 0.15299999713897705 |
5.0 | 5.0 | 20.726699829101562 | 20.72570037841797 | 4.957699775695801 | 35.742000579833984 | 25.133499145507812 | 0.25200000405311584 | 4.243000030517578 | 69.5999984741211 | 1.996000051498413 | 1.2009999752044678 | 0.1509999930858612 |
5.5 | 5.5 | 20.72949981689453 | 20.7283992767334 | 4.9583001136779785 | 35.744300842285156 | 25.13450050354004 | 0.21299999952316284 | 4.247000217437744 | 64.54000091552734 | 1.9630000591278076 | 1.2039999961853027 | 0.15800000727176666 |
6.0 | 6.0 | 20.761899948120117 | 20.760799407958984 | 4.965700149536133 | 35.776100158691406 | 25.149999618530273 | 0.2540000081062317 | 4.245999813079834 | 57.2599983215332 | 1.9119999408721924 | 1.2259999513626099 | 0.15800000727176666 |
6.5 | 6.5 | 20.768999099731445 | 20.767799377441406 | 4.967100143432617 | 35.78120040893555 | 25.152000427246094 | 0.2240000069141388 | 4.248000144958496 | 55.52000045776367 | 1.8980000019073486 | 1.2450000047683716 | 0.15800000727176666 |
7.0 | 7.0 | 20.761699676513672 | 20.760400772094727 | 4.965400218963623 | 35.77399826049805 | 25.148500442504883 | 0.27300000190734863 | 4.244999885559082 | 50.93000030517578 | 1.8600000143051147 | 1.2280000448226929 | 0.16599999368190765 |
7.599999904632568 | 7.5 | 20.764299392700195 | 20.76289939880371 | 4.96619987487793 | 35.7776985168457 | 25.15060043334961 | 0.19200000166893005 | 4.249000072479248 | 48.88999938964844 | 1.843000054359436 | 1.2350000143051147 | 0.1599999964237213 |
8.100000381469727 | 8.0 | 20.791500091552734 | 20.790000915527344 | 4.972499847412109 | 35.805999755859375 | 25.1648006439209 | 0.2709999978542328 | 4.252999782562256 | 45.54999923706055 | 1.812000036239624 | 1.2359999418258667 | 0.15299999713897705 |
8.600000381469727 | 8.5 | 20.795400619506836 | 20.793800354003906 | 4.973299980163574 | 35.80849838256836 | 25.165800094604492 | 0.25600001215934753 | 4.252999782562256 | 43.68000030517578 | 1.7929999828338623 | 1.2519999742507935 | 0.1509999930858612 |
9.100000381469727 | 9.0 | 20.806299209594727 | 20.80459976196289 | 4.975800037384033 | 35.81930160522461 | 25.171100616455078 | 0.19200000166893005 | 4.252999782562256 | 41.68000030517578 | 1.7740000486373901 | 1.2640000581741333 | 0.15199999511241913 |
9.600000381469727 | 9.5 | 20.827800750732422 | 20.826000213623047 | 4.981500148773193 | 35.847599029541016 | 25.186800003051758 | 0.27799999713897705 | 4.25600004196167 | 39.31999969482422 | 1.7480000257492065 | 1.284000039100647 | 0.15000000596046448 |
10.100000381469727 | 10.0 | 20.829200744628906 | 20.827299118041992 | 4.981800079345703 | 35.8484001159668 | 25.187000274658203 | 0.2669999897480011 | 4.255000114440918 | 38.619998931884766 | 1.7410000562667847 | 1.2799999713897705 | 0.14900000393390656 |
10.600000381469727 | 10.5 | 20.838499069213867 | 20.83650016784668 | 4.984300136566162 | 35.86040115356445 | 25.193700790405273 | 0.18400000035762787 | 4.255000114440918 | 36.70000076293945 | 1.718000054359436 | 1.2740000486373901 | 0.1550000011920929 |
11.100000381469727 | 11.0 | 20.84830093383789 | 20.846200942993164 | 4.986999988555908 | 35.8745002746582 | 25.201799392700195 | 0.28299999237060547 | 4.255000114440918 | 35.43000030517578 | 1.7029999494552612 | 1.253000020980835 | 0.15399999916553497 |
11.600000381469727 | 11.5 | 20.847299575805664 | 20.84510040283203 | 4.9868998527526855 | 35.873600006103516 | 25.201400756835938 | 0.23000000417232513 | 4.255000114440918 | 34.56999969482422 | 1.6920000314712524 | 1.2680000066757202 | 0.15600000321865082 |
12.100000381469727 | 12.0 | 20.84939956665039 | 20.84709930419922 | 4.987500190734863 | 35.87710189819336 | 25.203500747680664 | 0.20399999618530273 | 4.254000186920166 | 33.369998931884766 | 1.6770000457763672 | 1.2680000066757202 | 0.1589999943971634 |
12.600000381469727 | 12.5 | 20.849899291992188 | 20.84749984741211 | 4.9878997802734375 | 35.87969970703125 | 25.205400466918945 | 0.2720000147819519 | 4.254000186920166 | 32.560001373291016 | 1.6660000085830688 | 1.2690000534057617 | 0.15199999511241913 |
13.100000381469727 | 13.0 | 20.850500106811523 | 20.847999572753906 | 4.988100051879883 | 35.88079833984375 | 25.206100463867188 | 0.24500000476837158 | 4.255000114440918 | 31.850000381469727 | 1.656999945640564 | 1.2730000019073486 | 0.1550000011920929 |
13.600000381469727 | 13.5 | 20.85110092163086 | 20.848499298095703 | 4.988399982452393 | 35.882198333740234 | 25.207000732421875 | 0.1940000057220459 | 4.254000186920166 | 31.0 | 1.6449999809265137 | 1.2860000133514404 | 0.1509999930858612 |
14.100000381469727 | 14.0 | 20.850900650024414 | 20.84819984436035 | 4.988399982452393 | 35.882301330566406 | 25.207199096679688 | 0.257999986410141 | 4.255000114440918 | 30.420000076293945 | 1.6369999647140503 | 1.281000018119812 | 0.14900000393390656 |
14.600000381469727 | 14.5 | 20.85099983215332 | 20.84819984436035 | 4.988500118255615 | 35.88240051269531 | 25.207300186157227 | 0.2370000034570694 | 4.255000114440918 | 29.850000381469727 | 1.628999948501587 | 1.2640000581741333 | 0.15399999916553497 |
15.100000381469727 | 15.0 | 20.851299285888672 | 20.848400115966797 | 4.988500118255615 | 35.882598876953125 | 25.207300186157227 | 0.1979999989271164 | 4.25600004196167 | 29.510000228881836 | 1.6230000257492065 | 1.2580000162124634 | 0.15299999713897705 |
15.600000381469727 | 15.5 | 20.85110092163086 | 20.848100662231445 | 4.988500118255615 | 35.88240051269531 | 25.207300186157227 | 0.2409999966621399 | 4.254000186920166 | 28.93000030517578 | 1.6150000095367432 | 1.25600004196167 | 0.16300000250339508 |
16.100000381469727 | 16.0 | 20.850799560546875 | 20.847700119018555 | 4.988500118255615 | 35.88240051269531 | 25.207399368286133 | 0.26100000739097595 | 4.252999782562256 | 28.760000228881836 | 1.6119999885559082 | 1.2610000371932983 | 0.17399999499320984 |
16.600000381469727 | 16.5 | 20.85070037841797 | 20.84749984741211 | 4.988500118255615 | 35.88249969482422 | 25.207599639892578 | 0.18400000035762787 | 4.255000114440918 | 28.049999237060547 | 1.6019999980926514 | 1.2680000066757202 | 0.1599999964237213 |
17.100000381469727 | 17.0 | 20.850500106811523 | 20.847200393676758 | 4.988500118255615 | 35.88240051269531 | 25.207500457763672 | 0.28600001335144043 | 4.254000186920166 | 28.170000076293945 | 1.6039999723434448 | 1.2790000438690186 | 0.1550000011920929 |
17.600000381469727 | 17.5 | 20.850500106811523 | 20.84709930419922 | 4.98859977722168 | 35.88240051269531 | 25.207599639892578 | 0.1809999942779541 | 4.254000186920166 | 27.420000076293945 | 1.5920000076293945 | 1.2890000343322754 | 0.1550000011920929 |
18.100000381469727 | 18.0 | 20.850900650024414 | 20.847400665283203 | 4.988699913024902 | 35.88290023803711 | 25.207799911499023 | 0.18400000035762787 | 4.25600004196167 | 27.170000076293945 | 1.5880000591278076 | 1.2610000371932983 | 0.15600000321865082 |
18.600000381469727 | 18.5 | 20.850900650024414 | 20.847299575805664 | 4.988699913024902 | 35.882999420166016 | 25.20789909362793 | 0.2029999941587448 | 4.256999969482422 | 26.610000610351562 | 1.5789999961853027 | 1.2649999856948853 | 0.1550000011920929 |
19.100000381469727 | 19.0 | 20.850200653076172 | 20.846500396728516 | 4.98859977722168 | 35.882598876953125 | 25.20789909362793 | 0.18299999833106995 | 4.256999969482422 | 25.959999084472656 | 1.5679999589920044 | 1.2640000581741333 | 0.1550000011920929 |
19.600000381469727 | 19.5 | 20.850200653076172 | 20.846500396728516 | 4.98859977722168 | 35.8827018737793 | 25.20800018310547 | 0.18299999833106995 | 4.26200008392334 | 25.260000228881836 | 1.555999994277954 | 1.2669999599456787 | 0.18700000643730164 |
In total, there are 35 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.