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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/CruiseChlorophyll.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseChlorophyll | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseChlorophyll.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruiseChlorophyll/ | Chlorophyll and phaeopigments from water column samples, collected at selected depths aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 1991 - 2019. | Phytoplankton chlorophyll sampling was led by Smith from 1991-2002, and then by Vernet from 2003-2008. Schofield is the third, and current lead, beginning in 2009. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Chlorophyll a (Chl a) is the principal photosynthetic pigment of phytoplankton, and is used as a proxy measurement for estimating phytoplankton biomass in water samples. Chl a concentrations reflect the distribution of active phytoplankton spatially and with depth in the water column and their changes over time. Phaeopigments are non-photosynthetic pigments that are degradation products of phytoplankton chlorophylls which form during and after phytoplankton blooms. Water samples are collected throughout the water column along the Western Antarctic Peninsula at regular LTER grid stations where Conductivity, Temperature, Depth (CTD) casts are preformed and in surface waters at underway stations, where CTD casts are not done, using the ship's flow-through seawater system. Water samples are filtered onto GF/F filters, and filters kept frozen at -80°C until analysis at Palmer Station following the completion of the cruise. Fluorometric chlorophyll and phaeopigment analysis is conducted at Palmer Station through acetone extraction of the GF/F filters and measurement of the extract on a Turner 10AU Fluorometer. The primary source of error for phaeopigment measurement is Chlorophyll b. If high amounts of Chlorophyll b are present in the sample, phaeopigments may be overestimated.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\nchlorophyll_a (mass_concentration_of_chlorophyll_a_in_sea_water, mg m-3)\nphaeopigment (mg m-3)\nevent\nbottle\ntime (seconds since 1970-01-01T00:00:00Z)\ngrid_line\ngrid_station\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\n... (7 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/CruiseChlorophyll_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/CruiseChlorophyll_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/CruiseChlorophyll/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruiseChlorophyll.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruiseChlorophyll&showErrors=false&email= | National Science Foundation | CruiseChlorophyll | ||
| 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/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves.graph | https://pallter-data.marine.rutgers.edu/erddap/files/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves/ | Photosynthesis-irradiance measurements collected during Palmer LTER station seasons at Palmer Station Antarctica, 1991, 1993. | Photosynthesis-irradiance measurements collected during Palmer LTER station seasons at Palmer Station Antarctica, 1991 - 1993. Photosynthesis-irradiance measurements are used to derive P-I relationships and to calculate primary production for each discrete sample. Blue-green photosynthetron method described by Prezelin et al. (1994) were used to determine photosynthesis irradiance (P-I) relationships for collected samples. Non-linear cureve fits for the P-I data were calculated using the simplex method of Caceci & Cacheris (1984). Curve fitting provided estimates of Pmax (the light saturated rate of photosynthesis) and alpha (the affinity for photosynthesis at light-limited irradiances.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstudy_name (Study)\nevent\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nstation\njulian_day\nbottle\nchlorophyll_a (Mass Concentration Of Chlorophyll A In Sea Water, mg m-3)\nincubation_hours (hours)\nin_situ_temperature (degree_C)\nincubation_temperature (degree_C)\npmax (mg m-3 hour-1)\nalpha\nbeta\nIk (microeinstiens m-2 s-1)\nIt (microeinstiens m-2 s-1)\npmax_error (mg m-3 hour-1)\nalpha_error\n... (4 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves&showErrors=false&email= | National Science Foundation | StationPhotosyntheticParametersfromPhotosynthesisIrradianceCurves | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves/ | Photosynthesis-irradiance measurements used to derive P-I relationships and to calculate primary production for each discrete sample. Samples collected aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 1991, 1993. | Photosynthesis-irradiance measurements used to derive P-I relationships and to calculate primary production for each discrete sample. Samples collected aboard Palmer LTER annual cruises off the coast of the Western Antarctic Peninsula, 1991 - 1993. Photosynthesis-irradiance measurements are used to derive P-I relationships and to calculate primary production for each discrete sample. Blue-green photosynthetron method described by Prezelin et al. (1994) were used to determine photosynthesis irradiance (P-I) relationships for collected samples. Non-linear cureve fits for the P-I data were calculated using the simplex method of Caceci & Cacheris (1984). Curve fitting provided estimates of Pmax (the light saturated rate of photosynthesis) and alpha (the affinity for photosynthesis at light-limited irradiances.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nevent (Event Number)\njulian_day\nincubation_start_time (seconds since 1970-01-01T00:00:00Z)\ngrid_station\nstation\ngrid_line\nbottle (Bottle Number)\ndepth (m)\nchlorophyll_a (mg m-3)\nincubation_hours (Incubation Hrs, hours)\nin_situ_temperature (In Situ Water Temperature, degree_C)\nincubation_temperature (Incubation Water Temperature, degree_C)\npmax (mg m-3 hour-1)\nalpha\nbeta (percent)\n... (8 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves&showErrors=false&email= | National Science Foundation | CruisePhotosyntheticParametersfromPhotosynthesisIrradianceCurves | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationHighPerformanceLiquidChromotographyPigments.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationHighPerformanceLiquidChromotographyPigments | https://pallter-data.marine.rutgers.edu/erddap/tabledap/StationHighPerformanceLiquidChromotographyPigments.graph | https://pallter-data.marine.rutgers.edu/erddap/files/StationHighPerformanceLiquidChromotographyPigments/ | Photosynthetic pigments of water column samples analyzed using High Performance Liquid Chromatography (HPLC), sampled during the Palmer LTER field seasons at Palmer Station, Antarctica, 1991 - 2015. | Phytoplankton pigment sampling was led by Prezelin from the 1991-1992 season through the 1993-1994 season, and then by Vernet from the 1994-1995 season through the 2006-2007 season. Schofield is the third, and current lead, beginning in the 2008-2009 season. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Phytoplankton have a suite of accessory pigments in addition to Chlorophyll a, including other Chlorophyll's (e.g. Chlorophyll b), Xanthophylls, and Carotenes. These accessory pigments can be used as chemotaxonomic markers to assess the composition and distribution of the phytoplankton community. For example, Fucoxanthin is a marker pigment of Diatoms, whereas Alloxanthin is a marker pigment of Cryptophytes. Accessory pigments also assist in photoacclimation and photoprotective processes. Water samples are collected throughout the water column at stations within the Palmer LTER region (primarily B and E, to 50m and 65m respectively). Water samples are filtered onto GF/F filters, and filters kept frozen at -80C until analysis. HPLC analysis is completed following Wright et al (1991). Following the guidelines set by NASA SeaHARRE, we use an internal standard and replicate injects on the HPLC to track recovery and replicability of the pigment extraction methods. Data is unavailable for the Palmer 2009-2010 season due to instrumentation problems and for the Palmer 2011-2012 season due to a freezer failure which resulted in the loss of samples. \\n\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstudy_name (Study)\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nevent\njulian_day\nstation\nirradiance (percent)\nchlorophyllide_a (Concentration Of Chlorophyll In Sea Water, ug L-1)\nchlorophyll_c3 (Concentration Of Chlorophyll In Sea Water, ug L-1)\nchlorophyll_c2 (Concentration Of Chlorophyll In Sea Water, ug L-1)\n... (25 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/StationHighPerformanceLiquidChromotographyPigments_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/StationHighPerformanceLiquidChromotographyPigments_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/StationHighPerformanceLiquidChromotographyPigments/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/StationHighPerformanceLiquidChromotographyPigments.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=StationHighPerformanceLiquidChromotographyPigments&showErrors=false&email= | National Science Foundation | StationHighPerformanceLiquidChromotographyPigments | ||
| https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseHighPerformanceLiquidChromatographyPigments.subset | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseHighPerformanceLiquidChromatographyPigments | https://pallter-data.marine.rutgers.edu/erddap/tabledap/CruiseHighPerformanceLiquidChromatographyPigments.graph | https://pallter-data.marine.rutgers.edu/erddap/files/CruiseHighPerformanceLiquidChromatographyPigments/ | Photosynthetic pigments of water column samples and analyzed with High Performance Liquid Chromatography (HPLC), collected aboard Palmer LTER annual cruises off the coast of the Western Antarctica Peninsula, 1991, 2016. | Photosynthetic pigments of water column samples and analyzed with High Performance Liquid Chromatography (HPLC), collected aboard Palmer LTER annual cruises off the coast of the Western Antarctica Peninsula, 1991 - 2016. Phytoplankton pigment sampling was led by Prezelin from 1991-1994, and then by Vernet from 1995-2008. Schofield is the third, and current lead, beginning in 2009. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Phytoplankton have a suite of accessory pigments in addition to Chlorophyll a, including other Chlorophyll's (e.g. Chlorophyll b), Xanthophylls, and Carotenes. These accessory pigments can be used as chemotaxonomic markers to assess the composition and distribution of the phytoplankton community. For example, Fucoxanthin is a marker pigment of Diatoms, whereas Alloxanthin is a marker pigment of Cryptophytes. Accessory pigments also assist in photoacclimation and photoprotective processes. Water samples are collected throughout the water column along the Western Antarctic Peninsula at regular LTER grid stations where Conductivity, Temperature, Depth (CTD) casts are preformed and in surface waters at underway stations, where CTD casts are not done, using the ship's flow-through seawater system. Water samples are filtered onto GF/F filters, and filters kept frozen at -80C until analysis. HPLC analysis is completed following Wright et al (1991). Following the guidelines set by NASA SeaHARRE, we use an internal standard and replicate injects on the HPLC to track recovery and replicability of the pigment extraction methods and the HPLC. Data is unavailable for the LMG10-01 cruise due to instrumentation problems and for the LMG12-01 cruise due to a freezer failure which resulted in the loss of samples.\n\ncdm_data_type = Trajectory\nVARIABLES:\nstudy_name (Study)\nevent\ncast_number\nbottle\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ngrid_line\n... (29 more variables)\n | https://pallter-data.marine.rutgers.edu/erddap/metadata/fgdc/xml/CruiseHighPerformanceLiquidChromatographyPigments_fgdc.xml | https://pallter-data.marine.rutgers.edu/erddap/metadata/iso19115/xml/CruiseHighPerformanceLiquidChromatographyPigments_iso19115.xml | https://pallter-data.marine.rutgers.edu/erddap/info/CruiseHighPerformanceLiquidChromatographyPigments/index.htmlTable | https://pal.lternet.edu/
| http://pallter-data.marine.rutgers.edu/erddap/rss/CruiseHighPerformanceLiquidChromatographyPigments.rss | https://pallter-data.marine.rutgers.edu/erddap/subscriptions/add.html?datasetID=CruiseHighPerformanceLiquidChromatographyPigments&showErrors=false&email= | National Science Foundation | CruiseHighPerformanceLiquidChromatographyPigments | ||
| 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 |