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Dataset Title:  Adelie penguin area-wide breeding population census, 1991, present. Subscribe RSS
Institution:  National Science Foundation   (Dataset ID: AdeliePenguinCensus)
Range: time = 1991-11-03T00:00:00Z to 2017-11-24T00:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  study_name {
    String column_name "studyName";
    String comment "Study Name";
    String ioos_category "Identifier";
    String long_name "Study";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.891264e+8, 1.5114816e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String column_name "col_1334";
    String comment "census date in GMT";
    String ioos_category "Time";
    String long_name "Date GMT";
    String lter_mscale "dateTime";
    String source_name "date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  island_name {
    String column_name "col_1335";
    String comment "abbreviated name of an island";
    String ioos_category "Unknown";
    String long_name "Island";
    String lter_mscale "nominal";
  }
  colony_code {
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 23.1;
    String column_name "col_1336";
    String comment "code identifying an ecosystem colony, colony # refers to a colony on a specific island.";
    String ioos_category "Unknown";
    String long_name "Colony";
    String lter_mscale "nominal";
  }
  num_breeding_pairs {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 517;
    String column_name "col_1337";
    String comment "penguin Breeding Pairs";
    String ioos_category "Unknown";
    String long_name "Breeding Pairs";
    String lter_mscale "ratio";
    String lter_num_type "integer";
    String lter_units_string "number";
    String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.6";
    String acknowledgement "Funding and support provided by the National Science Foundation";
    String cdm_data_type "Other";
    String comment "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.";
    String contributor_email "bfraser@3rivers.net";
    String contributor_name "William Fraser";
    String contributor_role "PrincipalInvestigator";
    String contributor_role_vocabulary "https://vocab.nerc.ac.uk/collection/G04/current/";
    String Conventions "CF-1.8, ACDD-1.3, COARDS";
    String creator_country "USA";
    String creator_email "kerfoot@marine.rutgers.edu";
    String creator_institution "Rutgers University";
    String creator_name "John Kerfoot";
    String creator_sector "academic";
    String creator_type "person";
    String creator_url "https://rucool.marine.rutgers.edu";
    String datazoo_dataset_id "87";
    String datazoo_datatable_id "87";
    String datazoo_datatable_label "Adelie Penguin Census";
    String datazoo_datatable_name "AdeliePenguinCensus";
    String date_created "2021-05-10T17:08:30Z";
    String date_issued "2021-05-10T17:08:30Z";
    String defaultDataQuery "null";
    String doi "https://doi.org/10.6073/pasta/89dd52217ca37e3a72a67f7a9bc3c82e";
    String geospatial_bounds_crs "EPSG:4326";
    String geospatial_bounds_vertical_crs "EPSG:5831";
    String geospatial_lat_resolution "0.00001 degree";
    String geospatial_lat_units "degree_north";
    String geospatial_lon_resolution "0.00001 degree";
    String geospatial_lon_units "degree_east";
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "EPSG:5831";
    String history 
"local files
2025-05-04T12:55:15Z (local files)
2025-05-04T12:55:15Z http://pallter-data.marine.rutgers.edu/tabledap/AdeliePenguinCensus.das";
    String infoUrl "https://pal.lternet.edu/";
    String institution "National Science Foundation";
    String keywords "birds, habitats, marine, Population Studies, populations, taxonomy";
    String keywords_vocabulary "LTER Controlled Vocabulary,LTER Core Areas";
    String license "All data contained herein is licensed under the LTER Network Data Access Policy (https://lternet.edu/data-access-policy/). In accordance with scientific publishing conventions and professional etiquette, the consumer of these data (the \"Data User\") is expected to appropriately cite these data in any publication that results from their use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur and should realize that misinterpretation of data may occur if used out of context of the original study. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the data authors. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available \"as is.\" The Data User should be aware that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.";
    String license_link "https://lternet.edu/data-access-policy/";
    String methods "General Methods: Data are obtained in accordance with the CEMP Standard Methods (CCAMLR 1992), noting the following exceptions:  Censuses to determine breeding population size are done as close to peak egg laying  as  possible in  accordance with the protocol, but only incubating birds are censused.  The application of new bands is annually limited to 1000 rather than 1500 chicks.  The search effort to detect returning, previously banded penguins is standardized by involving two people that search every colony on Humble Island every two days during the entire length of the field season.";
    String naming_authority "edu.rutgers.rucool";
    String product_version "1.0";
    String program "LTER";
    String project "Palmer LTER";
    String publisher_country "USA";
    String publisher_email "kerfoot@marine.rutgers.edu";
    String publisher_institution "Rutgers University";
    String publisher_name "John Kerfoot";
    String publisher_type "person";
    String publisher_url "https://rucool.marine.rutgers.edu";
    String references "https://pal.lternet.edu/";
    String sea_name "Southern Ocean";
    String source "local files";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v77";
    String subsetVariables "study_name,island_name,colony_code";
    String summary "Adelie penguin area-wide breeding population census, 1991 - present. The fundamental long-term objective of the seabird component of the Palmer LTER (PAL) has been to identify and understand the mechanistic processes that regulate the mean fitness (population growth rate) of regional penguin populations.  Two hypotheses have guided this research, with one suggesting that population mean fitness is best explained by changes in regional krill biomass, and the other proposing that long-term changes in sea ice affects mean fitness by tipping the balance in favor of one species over another in accordance with species-specific evolved life history affinities to sea ice.  Although these hypotheses are not mutually exclusive, current evidence in the PAL region tends to favor the latter over the former.  Since the inception of PAL, Adélie penguin populations have effectively collapsed, while those of gentoo and chinstrap penguins have increased dramatically, trends that are spatially and temporally coherent with decreasing regional sea ice duration. Adélie penguins are an ice-obligate polar species whose life history is intimately linked to the presence of sea ice, while chinstrap and gentoo penguins are ice-intolerant species whose life histories evolved in the sub-Antarctic, where sea ice is a less permanent feature of the marine ecosystem.  In contrast, although krill constitute the most important component of the summer diets by mass of these three penguin species, changes in PAL krill abundances have exhibited no long-term trends, and thus fail to explain the divergent patterns in penguin populations evident in our time series.     \\n\\nThe PAL study region includes five main islands on which Adélie penguin colonies have historically occurred.  These are censused synoptically once a year to determine the overall size of the breeding population.  The optimal census date may vary by a few days each season, but ultimately tries to capture the week following peak egg laying when the total number of breeding pairs reaches a maximum.  The timing of this census is assisted by the REPRO and HUMPOP data, which provide a daily to weekly rate of change in breeding adult population numbers as new nests are initiated.  This census is useful for a number of assessments, one of the most critical being that it directly reflects the effects of environmental variability on adult overwinter survival.\\n";
    String time_coverage_end "2017-11-24T00:00:00Z";
    String time_coverage_start "1991-11-03T00:00:00Z";
    String title "Adelie penguin area-wide breeding population census, 1991, present.";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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