13 datasets found
  1. e

    Campaña: SOCIB 0213

    • data.europa.eu
    Updated Feb 7, 2013
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    (2013). Campaña: SOCIB 0213 [Dataset]. https://data.europa.eu/data/datasets/urn-sdn-csr-local-29so201302080?locale=ga
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    Dataset updated
    Feb 7, 2013
    Description

    A repeat seasonal hydrographic survey of the Balearic Sea, monitoring the Ibiza and Mallorca Channels.

  2. e

    Campaña: SOCIB 1212

    • data.europa.eu
    Updated Dec 18, 2012
    + more versions
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    (2012). Campaña: SOCIB 1212 [Dataset]. https://data.europa.eu/data/datasets/urn-sdn-csr-local-29so201212190?locale=lv
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    Dataset updated
    Dec 18, 2012
    Description

    A repeat seasonal hydrographic survey of the Balearic Sea, monitoring the Ibiza and Mallorca Channels.

  3. E

    OceanGliders GDAC trajectories

    • erddap.ifremer.fr
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    OceanGliders GDAC trajectories [Dataset]. https://erddap.ifremer.fr/erddap/info/OceanGlidersGDACTrajectories/index.html
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    Time period covered
    Jan 1, 1970 - Jul 18, 2024
    Area covered
    Variables measured
    CDOM, CHLA, CNDC, JULD, PRES, PSAL, TEMP, time, BBP700, CDOM_QC, and 36 more
    Description

    OceanGliders GDAC trajectories abstract=SOCIB Glider Missions - Canales Endurance Line - was initiated in 2011, covering both the Mallorca and Ibiza channel in a semi-continuous operational mode and sampling physical and biogeochemical observations. The Ibiza channel is a well-established biodiversity hotspot with high mesoscale and submesoscale variability. On the canales endurance line, ocean gliders making repeated dives from the surface to seabed or up to 1000 m. The glider missions typically last about 60 to 90 days, providing 6-14 sections of the Ibiza channel and 2 sections of the Mallorca channel. acknowledgement=Ministerio de Economía y Competitividad (http://www.idi.mineco.gob.es/). Govern de les Illes Balears (http://www.caib.es/). author_email=glider@socib.es cdm_data_type=Trajectory cdm_trajectory_variables=JULD, time citation=Ministerio de Economía y Competitividad (http://www.idi.mineco.gob.es/). Govern de les Illes Balears (http://www.caib.es/). comment=Data regularized, corrected and/or derived from raw glider data. Conventions=CF-1.6 EGO-1.2, COARDS, ACDD-1.3 creator=SOCIB Glider facility data_center=SOCIB Data Center data_center_email=data.centre@socib.es data_mode=R data_type=EGO glider time-series data distribution_statement=see citation Easternmost_Easting=696970.15 featureType=Trajectory format_version=1.2 geospatial_lat_max=696970.15 geospatial_lat_min=-94.01332363329217 geospatial_lat_units=degrees_north geospatial_lon_max=696970.15 geospatial_lon_min=-179.9998312997277 geospatial_lon_units=degrees_east ices_platform_code=undefined infoUrl=http://www.ego-network.org/ institution=IFREMER instrument=SCB-SLDEEP009 instrument_manufacturer=Teledyne instrument_model=Slocum G3 Deep keywords_vocabulary=GCMD Science Keywords naming_authority=EGO network=OceanGliders > BOON > Marginal Seas > CANALES Endurance Line Northernmost_Northing=696970.15 positioning_system=GPS and dead reckoning processing_level=L1 processed data with corrections and derivations project=SOCIB Operational publisher=SOCIB qc_manual=none source=Glider observation source_files=sdeep09-2024-156-4-1-sbd(01800001) sdeep09-2024-156-4-101-sbd(01800101) sdeep09-2024-156-4-103-sbd(01800103) sdeep09-2024-156-4-105-sbd(01800105) sdeep09-2024-156-4-107-sbd(01800107) sdeep09-2024-156-4-109-sbd(01800109) sdeep09-2024-156-4-11-sbd(01800011) sdeep09-2024-156-4-117-sbd(01800117) sdeep09-2024-156-4-121-sbd(01800121) sdeep09-2024-156-4-123-sbd(01800123) sdeep09-2024-156-4-125-sbd(01800125) sdeep09-2024-156-4-127-sbd(01800127) sdeep09-2024-156-4-129-sbd(01800129) sdeep09-2024-156-4-131-sbd(01800131) sdeep09-2024-156-4-133-sbd(01800133) sdeep09-2024-156-4-135-sbd(01800135) sdeep09-2024-156-4-137-sbd(01800137) sdeep09-2024-156-4-139-sbd(01800139) sdeep09-2024-156-4-14-sbd(01800014) sdeep09-2024-156-4-141-sbd(01800141) sdeep09-2024-156-4-145-sbd(01800145) sdeep09-2024-156-4-147-sbd(01800147) sdeep09-2024-156-4-149-sbd(01800149) sdeep09-2024-156-4-151-sbd(01800151) sdeep09-2024-156-4-153-sbd(01800153) sdeep09-2024-156-4-155-sbd(01800155) sdeep09-2024-156-4-157-sbd(01800157) sdeep09-2024-156-4-159-sbd(01800159) sdeep09-2024-156-4-161-sbd(01800161) sdeep09-2024-156-4-163-sbd(01800163) sdeep09-2024-156-4-167-sbd(01800167) sdeep09-2024-156-4-169-sbd(01800169) sdeep09-2024-156-4-171-sbd(01800171) sdeep09-2024-156-4-173-sbd(01800173) sdeep09-2024-156-4-175-sbd(01800175) sdeep09-2024-156-4-179-sbd(01800179) sdeep09-2024-156-4-18-sbd(01800018) sdeep09-2024-156-4-181-sbd(01800181) sdeep09-2024-156-4-183-sbd(01800183) sdeep09-2024-156-4-185-sbd(01800185) sdeep09-2024-156-4-189-sbd(01800189) sdeep09-2024-156-4-193-sbd(01800193) sdeep09-2024-156-4-20-sbd(01800020) sdeep09-2024-156-4-24-sbd(01800024) sdeep09-2024-156-4-26-sbd(01800026) sdeep09-2024-156-4-28-sbd(01800028) sdeep09-2024-156-4-3-sbd(01800003) sdeep09-2024-156-4-32-sbd(01800032) sdeep09-2024-156-4-41-sbd(01800041) sdeep09-2024-156-4-43-sbd(01800043) sdeep09-2024-156-4-47-sbd(01800047) sdeep09-2024-156-4-5-sbd(01800005) sdeep09-2024-156-4-51-sbd(01800051) sdeep09-2024-156-4-53-sbd(01800053) sdeep09-2024-156-4-55-sbd(01800055) sdeep09-2024-156-4-57-sbd(01800057) sdeep09-2024-156-4-59-sbd(01800059) sdeep09-2024-156-4-61-sbd(01800061) sdeep09-2024-156-4-67-sbd(01800067) sdeep09-2024-156-4-7-sbd(01800007) sdeep09-2024-156-4-71-sbd(01800071) sdeep09-2024-156-4-75-sbd(01800075) sdeep09-2024-156-4-77-sbd(01800077) sdeep09-2024-156-4-79-sbd(01800079) sdeep09-2024-156-4-83-sbd(01800083) sdeep09-2024-156-4-87-sbd(01800087) sdeep09-2024-156-4-89-sbd(01800089) sdeep09-2024-156-4-9-sbd(01800009) sdeep09-2024-156-4-91-sbd(01800091) sdeep09-2024-156-4-93-sbd(01800093) sdeep09-2024-156-4-97-sbd(01800097) sdeep09-2024-156-4-99-sbd(01800099) sdeep09-2024-156-3-1-tbd(01790001) sdeep09-2024-156-4-1-tbd(01800001) sdeep09-2024-156-4-101-tbd(01800101) sdeep09-2024-156-4-103-tbd(01800103) sdeep09-2024-156-4-105-tbd(01800105) sdeep09-2024-156-4-107-tbd(01800107) sdeep09-2024-156-4-109-tbd(01800109) sdeep09-2024-156-4-11-tbd(01800011) sdeep09-2024-156-4-113-tbd(01800113) sdeep09-2024-156-4-115-tbd(01800115) sdeep09-2024-156-4-117-tbd(01800117) sdeep09-2024-156-4-119-tbd(01800119) sdeep09-2024-156-4-121-tbd(01800121) sdeep09-2024-156-4-123-tbd(01800123) sdeep09-2024-156-4-125-tbd(01800125) sdeep09-2024-156-4-127-tbd(01800127) sdeep09-2024-156-4-129-tbd(01800129) sdeep09-2024-156-4-131-tbd(01800131) sdeep09-2024-156-4-133-tbd(01800133) sdeep09-2024-156-4-135-tbd(01800135) sdeep09-2024-156-4-137-tbd(01800137) sdeep09-2024-156-4-139-tbd(01800139) sdeep09-2024-156-4-14-tbd(01800014) sdeep09-2024-156-4-141-tbd(01800141) sdeep09-2024-156-4-143-tbd(01800143) sdeep09-2024-156-4-145-tbd(01800145) sdeep09-2024-156-4-147-tbd(01800147) sdeep09-2024-156-4-149-tbd(01800149) sdeep09-2024-156-4-151-tbd(01800151) sdeep09-2024-156-4-153-tbd(01800153) sdeep09-2024-156-4-155-tbd(01800155) sdeep09-2024-156-4-157-tbd(01800157) sdeep09-2024-156-4-159-tbd(01800159) sdeep09-2024-156-4-161-tbd(01800161) sdeep09-2024-156-4-163-tbd(01800163) sdeep09-2024-156-4-165-tbd(01800165) sdeep09-2024-156-4-167-tbd(01800167) sdeep09-2024-156-4-169-tbd(01800169) sdeep09-2024-156-4-171-tbd(01800171) sdeep09-2024-156-4-173-tbd(01800173) sdeep09-2024-156-4-175-tbd(01800175) sdeep09-2024-156-4-177-tbd(01800177) sdeep09-2024-156-4-179-tbd(01800179) sdeep09-2024-156-4-18-tbd(01800018) sdeep09-2024-156-4-181-tbd(01800181) sdeep09-2024-156-4-183-tbd(01800183) sdeep09-2024-156-4-185-tbd(01800185) sdeep09-2024-156-4-189-tbd(01800189) sdeep09-2024-156-4-191-tbd(01800191) sdeep09-2024-156-4-193-tbd(01800193) sdeep09-2024-156-4-20-tbd(01800020) sdeep09-2024-156-4-22-tbd(01800022) sdeep09-2024-156-4-24-tbd(01800024) sdeep09-2024-156-4-26-tbd(01800026) sdeep09-2024-156-4-28-tbd(01800028) sdeep09-2024-156-4-3-tbd(01800003) sdeep09-2024-156-4-32-tbd(01800032) sdeep09-2024-156-4-39-tbd(01800039) sdeep09-2024-156-4-41-tbd(01800041) sdeep09-2024-156-4-43-tbd(01800043) sdeep09-2024-156-4-45-tbd(01800045) sdeep09-2024-156-4-47-tbd(01800047) sdeep09-2024-156-4-49-tbd(01800049) sdeep09-2024-156-4-5-tbd(01800005) sdeep09-2024-156-4-51-tbd(01800051) sdeep09-2024-156-4-53-tbd(01800053) sdeep09-2024-156-4-55-tbd(01800055) sdeep09-2024-156-4-57-tbd(01800057) sdeep09-2024-156-4-59-tbd(01800059) sdeep09-2024-156-4-61-tbd(01800061) sdeep09-2024-156-4-63-tbd(01800063) sdeep09-2024-156-4-65-tbd(01800065) sdeep09-2024-156-4-67-tbd(01800067) sdeep09-2024-156-4-7-tbd(01800007) sdeep09-2024-156-4-71-tbd(01800071) sdeep09-2024-156-4-73-tbd(01800073) sdeep09-2024-156-4-75-tbd(01800075) sdeep09-2024-156-4-77-tbd(01800077) sdeep09-2024-156-4-79-tbd(01800079) sdeep09-2024-156-4-81-tbd(01800081) sdeep09-2024-156-4-83-tbd(01800083) sdeep09-2024-156-4-85-tbd(01800085) sdeep09-2024-156-4-87-tbd(01800087) sdeep09-2024-156-4-89-tbd(01800089) sdeep09-2024-156-4-9-tbd(01800009) sdeep09-2024-156-4-91-tbd(01800091) sdeep09-2024-156-4-93-tbd(01800093) sdeep09-2024-156-4-97-tbd(01800097) sdeep09-2024-156-4-99-tbd(01800099)

    sourceUrl=(local files) Southernmost_Northing=-94.01332363329217 standard_name_vocabulary=CF Standard Name Table v29 time_coverage_end=2024-07-18T23:53:07Z time_coverage_start=1970-01-01T00:00:00Z transmission_system=IRIDIUM update_interval=daily Westernmost_Easting=-179.9998312997277

  4. i

    IH CantabriaM. González

    • sextant.ifremer.fr
    • pigma.org
    www:link +1
    Updated Dec 1, 2016
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    EMODnet Medsea Checkpoint (2016). IH CantabriaM. González [Dataset]. https://sextant.ifremer.fr/geonetwork/srv/api/records/998d0894-fee4-41ae-905e-9dac7fe6114e
    Explore at:
    www:link, www:link-1.0-http--metadata-urlAvailable download formats
    Dataset updated
    Dec 1, 2016
    Dataset provided by
    SOCIB
    EMODnet Medsea Checkpoint
    MEDSEA_CH4_Product_7 / Sediment Mass Balance at the Coast from Experts Survey and Scientific Literature Review
    SOCIB, Balearic Islands Coastal Observing and Forecasting System
    Time period covered
    Jan 1, 1913 - Dec 31, 2012
    Area covered
    Description

    Description of attributes for sediment mass budget at the coast for the last 10, 50 and 100 years for the Mediterranean basin and for each NUTS3 region along the coast.

  5. E

    unit_595-20170713T1730-delayed

    • gliders.ioos.us
    • data.ioos.us
    Updated Jan 10, 2020
    + more versions
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    Brita Irving (2020). unit_595-20170713T1730-delayed [Dataset]. https://gliders.ioos.us/erddap/info/unit_595-20170713T1730-delayed/index.html
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Brita Irving
    Time period covered
    Jul 12, 2017 - Aug 21, 2017
    Area covered
    Variables measured
    u, v, crs, time, depth, lat_uv, lon_uv, wmo_id, density, time_uv, and 13 more
    Description

    Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014, 11 July – 8 September 2015, 10 July - 4 october 2016, and from 13 July - 23 August 2017. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system. _NCProperties=version=2,netcdf=4.7.3,hdf5=1.10.5 acknowledgement=The Slocum glider was prepared and deployed by Brita Irving and Hank Statscewich (UAF). Deployment was made possible by Rebecca Woodgate (UW), chief scientist of the deployment cruise on the R/V Norseman II. At sea assistance was provided by the captain and crew of the R/V Norseman II. Critical engineering support was provided by Keenan Ball, Jim Partan, and Tom Hurst (WHOI). Support for the development of the Arctic marine mammal call library as well as the preparation and operation of the glider in 2017 was provided by Alaska Ocean Observing System. The glider was procured in 2016 with support from the North Pacific Research Board. Support for the development and testing of the DMON/LFDCS was provided by the Office of Naval Research, and additional support for integration and testing was provided by the NOAA National Marine Fisheries Service Advanced Sampling Technologies Working Group in collaboration with the Northeast Fisheries Science Centers Passive Acoustics Research Group (leader: Sofie Van Parijs). cdm_data_type=TrajectoryProfile cdm_profile_variables=time_uv,lat_uv,lon_uv,u,v,profile_id,time,latitude,longitude cdm_trajectory_variables=trajectory,wmo_id comment=Processed from MATLAB HDF5 files uploaded to the Research Workspace contributor_name=Brita Irving, Peter Winsor, Kathleen M. Stafford, Mark Baumgartner, Hank Statscewich contributor_role=Data Manager/Glider Technician, Principal Investigator, Co-PI, Co-PI, Glider Technician Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 Easternmost_Easting=-164.91738808909255 featureType=TrajectoryProfile format_version=IOOS_Glider_NetCDF_v3.0-qartod geospatial_bounds=POLYGON ((68.469860 -167.424130, 68.469860 -167.423090, 68.469360 -167.423090, 68.469360 -167.424130, 68.469860 -167.424130)) geospatial_lat_max=68.98482137447363 geospatial_lat_min=66.48690332565543 geospatial_lat_units=degrees_north geospatial_lon_max=-164.91738808909255 geospatial_lon_min=-168.19441559872922 geospatial_lon_units=degrees_east geospatial_vertical_max=54.54923 geospatial_vertical_min=5.569143E-5 geospatial_vertical_positive=down geospatial_vertical_units=m gts_ingest=true history=2020-01-10T14:25:19Z - Created with the GUTILS package: https://github.com/SECOORA/GUTILS%standard names for qartod flags have changed on 2022-06-30 id=unit_595-20170713T1730 infoUrl=https://gliders.ioos.us/erddap/ institution=University of Alaska Fairbanks, College of Fisheries and Ocean Sciences ioos_dac_checksum=1ce84cff5327942c530252a040d3b5d4 ioos_dac_completed=False ioos_regional_association=Alaska Ocean Observing System keywords_vocabulary=GCMD Science Keywords Metadata_Conventions=Unidata Dataset Discovery v1.0, COARDS, CF-1.6 metadata_link=https://github.com/ioos/ioosngdac/, see references attribute naming_authority=gov.noaa.ioos Northernmost_Northing=68.98482137447363 platform=glider platform_type=Slocum Glider platform_vocabulary=https://mmisw.org/orr/#http://mmisw.org/ont/ioos/platform processing_level=Data provided as is with quality assurance and quality control performed. Processing steps similar to the publicly available glider_toolbox provided by the Balearic Islands Coastal Observing and Forecasting System [Troupin et al., 2015, https://github.com/socib/glider_toolbox]. project=2017 Whale Glider references=http://dcs.whoi.edu/chukchi0717/chukchi0717_unit_595.shtml;https://ioos.noaa.gov/wp-content/uploads/2015/10/Manual-for-QC-of-Glider-Data_05_09_16.pdf;https://github.com/ioos/ioos-netcdf/blob/master/content/ioos-netcdf-metadata-description-v1_1.md;https://github.com/ioos/ioosngdac/wiki/NGDAC-NetCDF-File-Format-Version-2#lon_uv_qc;https://github.com/ioos/ioosngdac/blob/master/nc/template/IOOS_Glider_NetCDF_v3.0-qartod.cdl;https://github.com/socib/glider_toolbox;C. Troupin, J.P. Beltran, E. Heslop, M. Torner, B. Garau, J. Allen, S. Ruiz, and J. Tintoré. (2015) A toolbox for glider data processing and management. Methods in Oceanography 13-14, 13-23.;Garau et al., 2011 B. Garau, S. Ruiz, W.G. Zhang, A. Pascual, E. Heslop, J. Kerfoot, J. Tintoré. Thermal lag correction on slocum CTD glider data. J. Atmos. Ocean. Technol., 28 (2011), pp. 1065–1071 https://dx.doi.org/10.1175/jtech-d-10-05030.1;Baumgartner, M.F., Stafford, K.M., Winsor, P., Statscewich, H., Fratantoni, D., 2014. Glider-Based Passive Acoustic Monitoring in the Arctic. Marine Technology Society Journal 48, 40–51. sea_name=Chukchi Sea source=Observational data from a profiling glider. sourceUrl=(local files) Southernmost_Northing=66.48690332565543 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=wmo_id,trajectory,profile_id,time,latitude,longitude time_coverage_duration=P0DT0H5M8.011566S time_coverage_end=2017-08-21T06:33:12Z time_coverage_start=2017-07-12T17:33:29Z Westernmost_Easting=-168.19441559872922

  6. i

    SCB-SLDEEP001 (PARTHENOPE ABACUS 3)

    • sextant.ifremer.fr
    Updated Jun 19, 2018
    + more versions
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    SOCIB (2018). SCB-SLDEEP001 (PARTHENOPE ABACUS 3) [Dataset]. https://sextant.ifremer.fr/record/08774c2a-3a77-4643-a775-36e2ea16ec60/
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Authors
    SOCIB
    Area covered
    Description

    Socib Glider

  7. i

    GALF SOCIB radar

    • sextant.ifremer.fr
    Updated Jun 19, 2018
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    MARIS (2018). GALF SOCIB radar [Dataset]. https://sextant.ifremer.fr/record/6ded9034-6eba-4030-a801-6f3cc294c204/
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Area covered
    Description

    HF Radar System

  8. i

    SCB-SLDEEP005 (CANALES NOV 2017)

    • sextant.ifremer.fr
    Updated Jun 19, 2018
    + more versions
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    SOCIB (2018). SCB-SLDEEP005 (CANALES NOV 2017) [Dataset]. https://sextant.ifremer.fr/record/87cd5dcb-7d6c-4be4-8748-231a1a66dfef/
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Authors
    SOCIB
    Area covered
    Description

    Socib Glider

  9. i

    IME-SLDEEP00 (CANALES NOV 2015)

    • sextant.ifremer.fr
    Updated Jun 19, 2018
    + more versions
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    SOCIB (2018). IME-SLDEEP00 (CANALES NOV 2015) [Dataset]. https://sextant.ifremer.fr/record/8471bf20-9b9a-4a33-9983-9c8710ae0c72/
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Authors
    SOCIB
    Area covered
    Description

    Socib Glider

  10. i

    CNR-TERESA (TERESA NOV 2017)

    • sextant.ifremer.fr
    Updated Jun 19, 2018
    + more versions
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    SOCIB (2018). CNR-TERESA (TERESA NOV 2017) [Dataset]. https://sextant.ifremer.fr/record/3fb19ddc-25d9-4ee5-9182-9410c1d856dc/
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Authors
    SOCIB
    Area covered
    Description

    Socib Glider

  11. i

    SCB-SLDEEP000 (IRENE JUL 2017)

    • sextant.ifremer.fr
    Updated Jun 19, 2018
    + more versions
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    SOCIB (2018). SCB-SLDEEP000 (IRENE JUL 2017) [Dataset]. https://sextant.ifremer.fr/geonetwork/srv/api/records/f7b46a89-d5ee-4d7e-a3d1-d594d0d10d1f
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Authors
    SOCIB
    Area covered
    Description

    Socib Glider

  12. i

    IME-SLCOST000 (ALNITAK JUN 2017)

    • sextant.ifremer.fr
    Updated Jun 19, 2018
    + more versions
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    SOCIB (2018). IME-SLCOST000 (ALNITAK JUN 2017) [Dataset]. https://sextant.ifremer.fr/record/4ab96023-5c9b-49e1-87eb-c0171e4ecc87/
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    Dataset updated
    Jun 19, 2018
    Dataset provided by
    MARIS
    Authors
    SOCIB
    Area covered
    Description

    Socib Glider

  13. i

    MEDSEA_CH4_Specification_12 / Time series of annual average sea level from...

    • sextant.ifremer.fr
    • pigma.org
    Updated May 16, 2015
    + more versions
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    SOCIB (2015). MEDSEA_CH4_Specification_12 / Time series of annual average sea level from PSMSL time-gauges over periods of 50 years (1963-2012) and 100 years (1913-2012) [Dataset]. https://sextant.ifremer.fr/geonetwork/srv/api/records/7b847ec0-69e2-42c0-9e33-78106f353c48
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    Dataset updated
    May 16, 2015
    Dataset provided by
    SOCIB
    Time period covered
    Jan 1, 1872 - Dec 31, 2013
    Area covered
    Description

    Specification of the desirable and recommended product attributes for generating time series of annual average sea level (units: mm) from tide gauges over periods of 50 years (1963-2012) and 100 years (1913-2012), to characterize and assess average annual sea-level rise relative to the land.

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(2013). Campaña: SOCIB 0213 [Dataset]. https://data.europa.eu/data/datasets/urn-sdn-csr-local-29so201302080?locale=ga

Campaña: SOCIB 0213

Explore at:
Dataset updated
Feb 7, 2013
Description

A repeat seasonal hydrographic survey of the Balearic Sea, monitoring the Ibiza and Mallorca Channels.

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