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Glider - Trinidad Head Line: 2016 May - October

Metadata Updated: January 26, 2026

Seaglider SG130 Trinidad Head IOOS line, California

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date January 1, 2026
Metadata Created Date July 27, 2025
Metadata Updated Date January 26, 2026
Reference Date(s) October 10, 2016 (creation), October 10, 2016 (issued)
Frequency Of Update

Metadata Source

Harvested from ioos

Additional Metadata

Resource Type Dataset
Metadata Date January 1, 2026
Metadata Created Date July 27, 2025
Metadata Updated Date January 26, 2026
Reference Date(s) October 10, 2016 (creation), October 10, 2016 (issued)
Responsible Party Oregon State University\nCollege of Earth, Ocean and Atmospheric Sciences\n104 CEOAS Admin Bldg\nCorvallis, OR 97331-5503 (Point of Contact)
Contact Email
Guid glider_OSU_Trinidad1_UW130-20160523T1828
Access Constraints
Bbox East Long -124.35783
Bbox North Lat 41.13151
Bbox South Lat 40.833572
Bbox West Long -130.00017
Coupled Resource [{"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}]
Frequency Of Update
Harvest Object Id cb33d6c3-6bcd-49f3-b861-ed012d4f1a24
Harvest Source Id 54e15a6e-6dde-4c9c-a8f0-345cc0dfccfb
Harvest Source Title ioos
Licence
Lineage Processing start:\nINFO: QC.py(393): Changed (5/746) 64 529 658 659 744 to QC_PROBABLY_BAD because raw temperature spikes\nINFO: QC.py(405): Changed (1/746) 746 to QC_BAD because raw salinity below bound\nINFO: QC.py(416): Changed (1/746) 746 to QC_BAD because bad raw salinity indicates raw conductivity issues\nINFO: QC.py(436): Changed (2/746) 27 64 to QC_PROBABLY_BAD because raw conductivity spikes\nINFO: QC.py(207): Changed (5/746) 64 529 658 659 744 to QC_PROBABLY_BAD because changed raw temp implies changed raw salinity\nINFO: QC.py(207): Changed (1/746) 27 to QC_PROBABLY_BAD because changed raw cond implies changed raw salinity\nINFO: QC.py(393): Changed (5/746) 64 529 658 659 744 to QC_INTERPOLATED because temperature spikes\nINFO: QC.py(405): Changed (1/746) 746 to QC_BAD because salinity below bound\nINFO: QC.py(416): Changed (1/746) 746 to QC_BAD because bad salinity indicates conductivity issues\nINFO: QC.py(436): Changed (2/746) 27 64 to QC_INTERPOLATED because conductivity spikes\nINFO: MakeDiveProfiles.py(3436): Changed (7/746) 246:252 to QC_BAD because slow apogee CT flow\nINFO: MakeDiveProfiles.py(3551): Changed (6/746) 1:6 to QC_BAD because prior to dive start\nINFO: MakeDiveProfiles.py(3657): Changed (14/746) 1:6 246:252 746 to QC_BAD because bad corrected temperature and conductivity suggests bad salinity\nINFO: QC.py(207): Changed (14/746) 1:6 246:252 746 to QC_BAD because changed corrected salin implies changed speed\nWARNING: TempSalinityVelocity.py(1167): Unable to converge during hydro-model calculations (0)\nWARNING: TempSalinityVelocity.py(1167): Unable to converge during hydro-model calculations (1)\nWARNING: TempSalinityVelocity.py(1167): Unable to converge during hydro-model calculations (2)\nINFO: TempSalinityVelocity.py(1233): TSV exiting after 2 iterations\nINFO: TempSalinityVelocity.py(1235): Changed (1/746) 745 to QC_PROBABLY_BAD because TS bad extrapolation\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 8 13 % suspect thermal-inertia points 9 10\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 26 37 % suspect thermal-inertia points 31:35\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 66 71 % suspect thermal-inertia points 70\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 447 454 % suspect thermal-inertia points 447 448\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 468 476 % suspect thermal-inertia points 469:474\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 535 538 % suspect thermal-inertia points 536:538\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 540 545 % suspect thermal-inertia points 540 541\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 554 558 % suspect thermal-inertia points 555 556 558\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 607 610 % suspect thermal-inertia points 608:610\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 612 614 % suspect thermal-inertia points 612:614\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 631 636 % suspect thermal-inertia points 634:636\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 638 642 % suspect thermal-inertia points 638:642\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 644 649 % suspect thermal-inertia points 644:649\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 651 658 % suspect thermal-inertia points 651 652\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 671 675 % suspect thermal-inertia points 671\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 677 683 % suspect thermal-inertia points 680:683\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 685 686 % suspect thermal-inertia points 685 686\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 719 722 % suspect thermal-inertia points 720:722\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 724 725 % suspect thermal-inertia points 724 725\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 727 729 % suspect thermal-inertia points 727 729\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 731 736 % suspect thermal-inertia points 731:736\nINFO: TempSalinityVelocity.py(1252): SUGGESTION: 536 interp_salinity data_points in_between 738 742 % suspect thermal-inertia points 738:741\nINFO: QC.py(207): Changed (5/746) 64 529 658 659 744 to QC_INTERPOLATED because changed corrected temp implies changed corrected salinity\nINFO: QC.py(207): Changed (1/746) 27 to QC_INTERPOLATED because changed corrected cond implies changed corrected salinity\nINFO: MakeDiveProfiles.py(3815): 14 (1.88%) HDM speeds are QC_BAD; 0 (0.00%) are stalled (746)\nINFO: QC.py(207): Changed (5/746) 64 529 658 659 744 to QC_INTERPOLATED because changed corrected temp implies changed speed\nINFO: MakeDiveProfiles.py(3837): Average estimated final speed: 18.82 cm/s\nINFO: MakeDiveProfiles.py(3840): RMS observed vs. computed w: 2.25 cm/s\nINFO: MakeDiveProfiles.py(3892): Starting sensor extensions data processing\nINFO: QC.py(207): Changed (5/746) 64 529 658 659 744 to QC_INTERPOLATED because changed temperature implies changed optode oxygen\nINFO: QC.py(207): Changed (1/746) 745 to QC_PROBABLY_BAD because changed salinity implies changed optode oxygen\nINFO: QC.py(207): Changed (14/746) 1:6 246:252 746 to QC_BAD because changed salinity implies changed optode oxygen\nINFO: QC.py(207): Changed (1/746) 27 to QC_INTERPOLATED because changed salinity implies changed optode oxygen\nINFO: MakeDiveProfiles.py(3894): Finished sensor extensions data processing\nINFO: MakeDiveProfiles.py(3924): Estimated total flight and drift time: 21541.8s (SM: 431.1s)\n
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-130.00017, 40.833572], [-124.35783, 40.833572], [-124.35783, 41.13151], [-130.00017, 41.13151], [-130.00017, 40.833572]]]}
Progress
Spatial Data Service Type ERDDAP tabledap
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2016-05-23T18:34:24Z
Temporal Extent End 2016-10-21T18:01:37Z

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