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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/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/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/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 |