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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseCTDProfiles.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseCTDProfiles | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseCTDProfiles.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruiseCTDProfiles/ | Conductivity Temperature Depth (CTD) sensor profile data binned by depth from PAL LTER annual cruises, 1991, 2017 (ongoing). | Conductivity Temperature Depth (CTD) sensor profile data binned by depth from PAL LTER annual cruises, 1991 - 2017 (ongoing). Since 1991 (and ongoing), the PAL LTER program has deployed a SeaBird 911+ CTD mounted on a 24-bottle rosette during annual (Austral Summer) cruises plus a few supplemental cruises at other times of the year. An equal area grid oriented parallel to the average coast provides the basis for sampling, as well as specific process studies and on-the-fly scientific needs. The CTD-rosette is lowered into the ocean (usually to just above the sea-floor) using the ship's conductive-wire winch. Data is collected and displayed real-time to ensure quality and make decisions about where to collect seawater with the bottles. Bottle data is typically collected extensively in the seasaonal mixed layer and pycnocline, plus at Tmin, in the permament pycnolcine and at Tmax and Smax, as well as near the bottom. Bottle data allows measurement adn calculation of additional variables and helps ensure quality data collected via sensors. Sensors include: Pressure, Conductivity (for Salinity), Temperature, Oxygen, Transmissometer, Flourometer, Photosynthetically Available Radiation (PAR/Irrandiance). Additional Bottle Data Variables include: Phosphate, Silicate, Nitrite, Nitrate, Ammonium. After each cruise, Temperature, Conductivity and Oxygen sensors are calibrated and post-crusie processing is applied, making use of pre- and post- cruise calibrations as well as SeaBird software and algorithms for getting the best quality data. Each profile is then inspected for any issues and if needed, suitable corrections are made such as using secondary sensors (temperature, conductivity and oxygen all currently measured in duplicate), using the upcast, or flagging the data as bad.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nstudy_name (Cruise Name)\ntime (Datetime UTC, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\npressure (dbar)\ntemperature (degree_C)\nsalinity (1)\nsigmat (Sigma-Theta, kg m-3)\n... (5 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/CruiseCTDProfiles_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/CruiseCTDProfiles_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/CruiseCTDProfiles/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruiseCTDProfiles.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruiseCTDProfiles&showErrors=false&email= | National Science Foundation | CruiseCTDProfiles | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/SamplingStations.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/SamplingStations | https://pallter-data.marine.rutgers.edu/erddap/tabledap/SamplingStations.graph | https://pallter-data.marine.rutgers.edu/erddap/files/SamplingStations/ | Palmer LTER Station Grid | Sampling lines and stations for the Palmer LTER field site\n\ncdm_data_type = Other\nVARIABLES:\nindex\nline (Sampling Line)\nlatitude (Station Latitude, degrees_north)\nlongitude (Station Longitude, degrees_east)\ngrid_code\nstation_name\nstation\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/SamplingStations_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/SamplingStations_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/SamplingStations/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/SamplingStations.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=SamplingStations&showErrors=false&email= | National Science Foundation | SamplingStations | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/dO18StableIsotopesPalmerBasin.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/dO18StableIsotopesPalmerBasin | https://pallter-data.marine.rutgers.edu/erddap/tabledap/dO18StableIsotopesPalmerBasin.graph | https://pallter-data.marine.rutgers.edu/erddap/files/dO18StableIsotopesPalmerBasin/ | Sources of oceanic freshwater content in the Palmer Basin along the western Antarctic Peninsula (PAL-LTER Study Region) determined by the stable isotope composition (d18O) of seawater. | Dataset contains measurements of the ratio of stable isotopes of oxygen in seawater taken in the Palmer Basin at stations B, E and the Palmer station seawater intake. The oceanic distribution of d18O is determined largely by the same processes that control salinity. Surface d18O reflects the magnitude and spatial distribution of freshwater inputs, and it is a conservative tracer in the ocean interior. The great benefit of d18O is obtained from the circumstances under which it exhibits behavior different to that of salinity. One such circumstance derives from the salinity and d18O values in precipitation, with salinity being constant with latitude (typically zero), while in general d18O in precipitation becomes progressively isotopically lighter toward the poles. This results in glacial ice (which derives from high-latitude precipitation) being very isotopically light, enabling d18O to be a useful tracer of glacial discharge to the ocean (e.g., Schlosser et al. 1990; Weiss et al. 1979). Another difference occurs in regions influenced by sea ice, which greatly affects salinity during its formation/melt cycle but has only minimal impact on d18O. This decoupling of the two tracers allows them to be used in tandem to quantitatively separate freshwater inputs from sea ice melt and those from meteoric sources (precipitation plus glacial discharge). For this, a simple three-endmember mass balance can be used. For details please see Meredith, M. P., H. J. Venables, A. Clarke, H. W. Ducklow, M. Erickson, M. J. Leng, J. T. M. Lenaerts, and M. R. van den Broeke. 2013. The freshwater system west of the Antarctic Peninsula: Spatial and temporal changes. Journal of Climate 26:1669-1684.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation (Sampling Station)\ntime (Sample Date, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ntemperature (degree_C)\nsalinity (Practical Salinity, 1)\nmld (Mixed Layer Depth, m)\no18 (Oxygen Isotopes Ratio, ppt)\no18_duplicate (Oxygen Isotopes Ratio, ppt)\nevent (Event Number)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/dO18StableIsotopesPalmerBasin_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/dO18StableIsotopesPalmerBasin_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/dO18StableIsotopesPalmerBasin/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/dO18StableIsotopesPalmerBasin.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=dO18StableIsotopesPalmerBasin&showErrors=false&email= | National Science Foundation | dO18StableIsotopesPalmerBasin |