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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/BirdCensusLogMovingWinter.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusLogMovingWinter | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusLogMovingWinter.graph | https://pallter-data.marine.rutgers.edu/erddap/files/BirdCensusLogMovingWinter/ | At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001. | The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\nevent\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlat_end (Latitude, degrees_north)\nlon_end (Longitude, degrees_east)\ndepth (m)\ncruise_name\nstart_station\nend_station\nduration (minutes)\n... (14 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/BirdCensusLogMovingWinter_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/BirdCensusLogMovingWinter_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/BirdCensusLogMovingWinter/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/BirdCensusLogMovingWinter.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=BirdCensusLogMovingWinter&showErrors=false&email= | National Science Foundation | BirdCensusLogMovingWinter | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusStationaryWinter.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusStationaryWinter | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusStationaryWinter.graph | https://pallter-data.marine.rutgers.edu/erddap/files/BirdCensusStationaryWinter/ | At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001. | The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.\n\ncdm_data_type = Trajectory\nVARIABLES:\nevent\ncruise_id\nstudy_name (Study)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\nstation\ngrid_line (km)\ngrid_station (km)\nsea_state\nsalinity (Sea Water Practical Salinity, 1)\n... (14 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/BirdCensusStationaryWinter_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/BirdCensusStationaryWinter_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/BirdCensusStationaryWinter/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/BirdCensusStationaryWinter.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=BirdCensusStationaryWinter&showErrors=false&email= | National Science Foundation | BirdCensusStationaryWinter | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusStationarySummer.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusStationarySummer | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusStationarySummer.graph | https://pallter-data.marine.rutgers.edu/erddap/files/BirdCensusStationarySummer/ | At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 2018. | At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - 2018. The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat, which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censuses during the cruise were done using the procedures outlined in the previous paragraph.\\n\\nSeventy-two 30-minute transects and 15 station censuses were completed during the January cruise. Athough seabirds were widely distributed throughout the study area, the highest densities and greatest biomass occurred consistently within 2-5 km of Anvers Island and several major island groups to the south and \\nwest near the Antarctic Peninsula. Adelie Penguins were the dominant component of this seabird assemblage in terms of both abundance and biomass. South Polar Skuas ranked second and Black-browed Albatross third, with the latter becoming the dominant assemblage member at distances greater than 10km from land. Although \\nSouth Polar Skuas had been expected to occur in more pelagic habitats, few were censused at distances greater than 10km from land. The presence of both skuas and penguins so close to land was unexpected. The most important variable accounting for variation in the distribution and abundance of seabirds appeared to \\nbe the location of the 200m contour, which throughout the study area occurred 2-5km from the adjoining land masses. Approximately 65% of the seabirds censused during this cruise (85% of the biomass) occurred in association with this contour.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\n... (25 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/BirdCensusStationarySummer_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/BirdCensusStationarySummer_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/BirdCensusStationarySummer/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/BirdCensusStationarySummer.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=BirdCensusStationarySummer&showErrors=false&email= | National Science Foundation | BirdCensusStationarySummer | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusLogMovingSummer.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusLogMovingSummer | https://pallter-data.marine.rutgers.edu/erddap/tabledap/BirdCensusLogMovingSummer.graph | https://pallter-data.marine.rutgers.edu/erddap/files/BirdCensusLogMovingSummer/ | At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, present. | At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - present. The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\ntime (Date/Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlat_end (Latitude, degrees_north)\nlon_end (Longitude, degrees_east)\ndepth (m)\nevent\ncruise_id\nstart_station\n... (16 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/BirdCensusLogMovingSummer_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/BirdCensusLogMovingSummer_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/BirdCensusLogMovingSummer/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/BirdCensusLogMovingSummer.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=BirdCensusLogMovingSummer&showErrors=false&email= | National Science Foundation | BirdCensusLogMovingSummer | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/PalmerStationMicrobialData.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/PalmerStationMicrobialData | https://pallter-data.marine.rutgers.edu/erddap/tabledap/PalmerStationMicrobialData.graph | https://pallter-data.marine.rutgers.edu/erddap/files/PalmerStationMicrobialData/ | Bacterial abundance and produciton at the Palmer Station LTER sites B and E in May 2011 and 2012 | The data described here were collected as part of a study of photoheterotrophic microbes in Antarctic waters (National Science Foundation (NSF) OPP 0838830). This sampling was conducted in May outside of the LTER sampling season at Palmer Station. Samplng was conducted by pumping water from a depth of 1 m into carboys that were returned to the lab..The data described here were collected as part of a study of photoheterotrophic microbes in Antarctic waters (NSF OPP 0838830). This sampling was conducted in May outside of the LTER sampling season at Palmer Station. Samplng was conducted by pumping water from a depth of 1 m into carboys that were returned to the lab.\n\ncdm_data_type = Other\nVARIABLES:\nstudy_name (Study)\ntime (seconds since 1970-01-01T00:00:00Z)\nstation\ndepth (m)\nsalinity (Sea Water Practical Salinity, 1)\ntemperature (Sea Water Temperature, degree_C)\nchlorophyll_a (Mass Concentration Of Chlorophyll A In Sea Water, ug L-1)\nchlorophyll_a_standard_deviation (ug L-1)\nleucine_incorporation (picomoles L-1 hr-1)\nleucine_incorporation_stdev (picomoles L-1 hr-1)\nthymidine_incorporation (picomoles L-1 hr-1)\nthymidine_incorporation_stdev (picomoles L-1 hr-1)\nbacterial_abundance\nbacterial_abundance_stdev\n | https://pallter-data.marine.rutgers.edu/erddap/info/PalmerStationMicrobialData/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/PalmerStationMicrobialData.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=PalmerStationMicrobialData&showErrors=false&email= | National Science Foundation | PalmerStationMicrobialData | ||||
| 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/CruiseDissolvedInorganicCarbon.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseDissolvedInorganicCarbon | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseDissolvedInorganicCarbon.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruiseDissolvedInorganicCarbon/ | Dissolved inorganic carbon and alkalinity of discrete water column samples, collected aboard Palmer LTER annual cruises of the Western Antarctic Peninsula, 1993, 2018. | Dissolved inorganic carbon and alkalinity of discrete water column samples, collected aboard Palmer LTER annual cruises of the Western Antarctic Peninsula, 1993 - 2018. There is a temporal uncoupling between Antarctic phytoplankton and bacterial processes. This affects the coastal ecosystem carbon cycle. Our sampling strategy and experiments are designed to evaluate the hypotheses that this uncoupling is caused by:1) dissolved organic carbon - bacterial interactions,2) temperature effects, and 3) direct competition and chemical antagonism.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\nevent (Event Number)\nbottle (Bottle Number)\ngrid_station\ncast_number (Cast)\ngrid_line (Line)\nstation\ntime (Datetime GMT, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ndissolved_inorganic_carbon1 (DIC 1, micromoles kg-1)\ndissolved_inorganic_carbon2 (DIC 2, micromoles kg-1)\nalkalinity1 (Alkalinity 1)\nalkalinity2 (Alkalinity 2)\ntemperature (degree_C)\nsalinity (1)\nnotes\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/CruiseDissolvedInorganicCarbon_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/CruiseDissolvedInorganicCarbon_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/CruiseDissolvedInorganicCarbon/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruiseDissolvedInorganicCarbon.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruiseDissolvedInorganicCarbon&showErrors=false&email= | National Science Foundation | CruiseDissolvedInorganicCarbon | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseInherentOpticalProperties.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseInherentOpticalProperties | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseInherentOpticalProperties.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruiseInherentOpticalProperties/ | Inherent optical properties measured at selected water-column depths, collected aboard Palmer LTER Annual cruises off the coast of the Western Antarctic Penninsula, 2009. | The Palmer, Antarctica, Long-Term Ecological Research project is a member site of the Long-Term Ecological Research program, a network of sites investigating diverse biomes. A team of researchers seeks to understand the structure and function of the Western Antarctic Peninsula's marine and terrestrial ecosystems in the context of seasonal-to-interannual atmospheric and sea ice dynamics, as well as long-term climate change. The PAL measurement system (or grid) is designed to study marine and terrestrial food webs consisting principally of diatom primary producers, the dominant herbivore Antarctic krill, and the apex predator Adelie penguin. An attenuated microbial food web is also a focus. PAL studies these ecosystems annually over a regional scale grid of oceanographic stations and seasonally at Palmer Station. \\n\\nPalmer Station is located on Anvers Island west of the Antarctic Peninula. The peninsula runs perpendicular to a strong climatic gradient between the cold, dry continental regime to the south, characteristic of the Antarctic interior, and the warm, moist, maritime regime to the north. North-south shifts in the gradient give rise to large environmental variability to climate change. Sea ice extent and variability affects ecosystem changes at all trophic levels. In addition to the long-term field and research activities, information management, graduate student training, education and outreach are an integral part of the program.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\nevent\ntime (seconds since 1970-01-01T00:00:00Z)\ngrid_line\ngrid_station\nstation\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nsalinity (Sea Water Practical Salinity, 1)\ntemperature (Sea Water Temperature, degree_C)\nconductivity (Sea Water Electrical Conductivity, mS cm-1)\n... (24 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/CruiseInherentOpticalProperties_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/CruiseInherentOpticalProperties_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/CruiseInherentOpticalProperties/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruiseInherentOpticalProperties.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruiseInherentOpticalProperties&showErrors=false&email= | National Science Foundation | CruiseInherentOpticalProperties | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationInherentOpticalProperties.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationInherentOpticalProperties | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationInherentOpticalProperties.graph | https://pallter-data.marine.rutgers.edu/erddap/files/StationInherentOpticalProperties/ | Inherent optical properties measured at selected water-column depths, collected at Palmer Station Antarctica, 2008/2009 field season. | The Palmer, Antarctica, Long-Term Ecological Research project is a member site of the Long-Term Ecological Research program, a network of sites investigating diverse biomes. A team of researchers seeks to understand the structure and function of the Western Antarctic Peninsula's marine and terrestrial ecosystems in the context of seasonal-to-interannual atmospheric and sea ice dynamics, as well as long-term climate change. The PAL measurement system (or grid) is designed to study marine and terrestrial food webs consisting principally of diatom primary producers, the dominant herbivore Antarctic krill, and the apex predator Adelie penguin. An attenuated microbial food web is also a focus. PAL studies these ecosystems annually over a regional scale grid of oceanographic stations and seasonally at Palmer Station. \\n\\nPalmer Station is located on Anvers Island west of the Antarctic Peninula. The peninsula runs perpendicular to a strong climatic gradient between the cold, dry continental regime to the south, characteristic of the Antarctic interior, and the warm, moist, maritime regime to the north. North-south shifts in the gradient give rise to large environmental variability to climate change. Sea ice extent and variability affects ecosystem changes at all trophic levels. In addition to the long-term field and research activities, information management, graduate student training, education and outreach are an integral part of the program.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstudy_name (Study)\nevent\ntime (seconds since 1970-01-01T00:00:00Z)\nstation\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nsalinity (1)\ntemperature (degree_C)\nconductivity (ms cm-1)\na412 (m-1)\na440 (m-1)\n... (22 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/StationInherentOpticalProperties_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/StationInherentOpticalProperties_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/StationInherentOpticalProperties/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/StationInherentOpticalProperties.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=StationInherentOpticalProperties&showErrors=false&email= | National Science Foundation | StationInherentOpticalProperties | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/dO18StableIsotopesCruise.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/dO18StableIsotopesCruise | https://pallter-data.marine.rutgers.edu/erddap/tabledap/dO18StableIsotopesCruise.graph | https://pallter-data.marine.rutgers.edu/erddap/files/dO18StableIsotopesCruise/ | Sources of oceanic freshwater content along the western Antarctic Peninsula (PAL-LTER Study Region) determined by the stable isotope composition (d18O) of seawater. | 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 = Trajectory\nVARIABLES:\nstudy_name (Study)\ngrid_station\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nevent\ncast_number\nbottle\ndepth (m)\npressure (sea_water_pressure, dbar)\no18_sample_number\n... (14 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/dO18StableIsotopesCruise_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/dO18StableIsotopesCruise_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/dO18StableIsotopesCruise/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/dO18StableIsotopesCruise.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=dO18StableIsotopesCruise&showErrors=false&email= | National Science Foundation | dO18StableIsotopesCruise | ||
| 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 | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseThorium234 | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseThorium234.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruiseThorium234/ | Watercolumn total Th-234 from samples collected aboard Palmer Station Antarctica LTER annual cruises off the western antarctic peninsula, 2012-2014 | Total watercolumn Th-234 was determined at stations in the Palmer Station Antarctica LTER sampling grid from Jan 2012 - Jan 2014 (see Stukel et al. 2015, GBC for methods details). Th-234 can be used as a tracer for particle cycling in the upper water column. To compute carbon export from this Th-234 data please see the C:Th-234 ratio discussion in the supplement to Ducklow et al., (in review, Philosophical Transactions of the Royal Society A).\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nsalinity (Sea Water Practical Salinity, 1)\nth234_activity\nth234_activity_error\ndeficiency\ndeficiency_error\nstation\ncast_number\nbottle_number\n | https://pallter-data.marine.rutgers.edu/erddap/info/CruiseThorium234/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruiseThorium234.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruiseThorium234&showErrors=false&email= | National Science Foundation | CruiseThorium234 | |||||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationWaterColumnThorium.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationWaterColumnThorium | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationWaterColumnThorium.graph | https://pallter-data.marine.rutgers.edu/erddap/files/StationWaterColumnThorium/ | Watercolumn total Th-234, Palmer Station, 2012-2013 | Total watercolumn Th-234 was determined at Stations E and B near Palmer Station from Nov 2012 - Mar 2013. Th-234 can be used as a tracer for particle cycling in the upper water column. To compute carbon export from this Th-234 data please see the C:Th-234 ratios that can be derived from contemporaneous sediment trap deployments. For more details, please see Stukel et al. (in review, Global Biogeochemical Cycles).\n\ncdm_data_type = Other\nVARIABLES:\nstudy_name (Study)\ntime (seconds since 1970-01-01T00:00:00Z)\nstation\ndepth (m)\nsalinity (Sea Water Practical Salinity, 1)\ndensity (Sea Water Density)\nth234_activity\nth234_activity_error\ndeficiency\ndeficiency_error\n | https://pallter-data.marine.rutgers.edu/erddap/info/StationWaterColumnThorium/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/StationWaterColumnThorium.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=StationWaterColumnThorium&showErrors=false&email= | National Science Foundation | StationWaterColumnThorium |