Catalogue PIGMA
Glider MOOSE sections
The glider operations in the MOOSE network started to be deployed regularly in 2010 in the North Western Mediterranean Sea, thanks to the setup of national glider facilities at DT-INSU/Ifremer (http://www.dt.insu.cnrs.fr/gliders/gliders.php) and with the support of the European project FP7-PERSEUS. Two endurance lines are operated: MooseT00 (Nice-Calvi; Ligurian Sea) and MooseT02 (Marseille-Menorca; Gulf of Lion). The all dataset here corresponds to raw data in the EGO format.
Simple
- Date (Publication)
- 2017-09
- Date (Revision)
- 2025-02-11
- Other citation details
- Testor Pierre, Mortier Laurent, Coppola Laurent, Claustre Hervé, D'Ortenzio Fabrizio, Bourrin François, Durrieu De Madron Xavier, Raimbault Patrick (2017). Glider MOOSE sections. SEANOE. https://doi.org/10.17882/52027
- Theme
-
- sea water temperature
- sea water electrical conductivity
- sea water pressure
- mole concentration of dissolved molecular oxygen in sea water
- temperature of sensor for oxygen in sea water
- uncalibrated phase shift reported by oxygen sensor
- mass concentration of chlorophyll a in sea water
- volume absorption coefficient of radiative flux in sea water due to dissolved organic matter
- volume scattering function of radiative flux in sea water 700
- Physical oceanography
- project
-
- FP7 GROOM (Agreement: 284321)
- FP7 PERSEUS (Agreement: 287600)
- Use limitation
- CC-BY (Creative Commons - Attribution)
- Use constraints
- Other restrictions
- Other constraints
-
EGO data are published without any warranty, express or implied.
The user assumes all risk arising from his/her use of EGO data.
EGO data are intended to be research-quality and include estimates of data quality and accuracy, but it is possible that these estimates or the data themselves contain errors.
It is the sole responsibility of the user to assess if the data are appropriate for his/her use, and to interpret the data, data quality, and data accuracy accordingly.
EGO welcomes users to ask questions and report problems to the contact addresses listed in the data files or on the EGO internet page.
- Date (Publication)
- 2024
- Unique resource identifier
- 10.5194/essd-16-5333-2024
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2021
- Unique resource identifier
- 10.3390/fluids6030123
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2021
- Unique resource identifier
- 10.5194/os-2021-120
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2020
- Unique resource identifier
- 10.1038/s41598-020-77859-5
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2018
- Unique resource identifier
- 10.5194/os-2018-76
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54023
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54024
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54025
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54026
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56447
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56451
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56455
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54972
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/55004
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56450
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54878
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56440
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56449
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56452
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56454
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56461
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/54877
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/56453
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2018
- Unique resource identifier
- 10.17882/55005
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/52152
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51431
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51464
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51465
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51469
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51470
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51472
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/50961
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51073
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51142
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51143
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51147
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51155
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51156
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51168
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51169
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51387
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51397
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51399
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51404
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51406
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51413
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51423
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51426
- Association Type
- Cross reference
- Initiative Type
- dataset
- Date (Publication)
- 2017
- Unique resource identifier
- 10.17882/51428
- Association Type
- Cross reference
- Initiative Type
- dataset
- Unique resource identifier
- 10.18142/235
- Association Type
- Cross reference
- Initiative Type
- Platform
- Metadata language
- English
- Topic category
-
- Oceans
N
S
E
W
))
- Begin date
- 2010
- Distribution format
-
-
NC, NETCDF
(
)
-
NC, NETCDF
(
)
- OnLine resource
- Quality controlled data ( WWW:DOWNLOAD-1.0-link--download )
- OnLine resource
- DOI of the product ( WWW:LINK-1.0-http--metadata-URL )
- OnLine resource
- Seanoe ( rel-canonical )
- Hierarchy level
- Dataset
- File identifier
- seanoe:52027 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2025-02-11
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available