Easier access to scientific data
Brought to you by NOAA NMFS SWFSC ERD
|
ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
| Dataset Title: | Nuclear genetic markers used to infer population genetic structure among breeding Adelie penguins from four regional rookeries along the western Antarctic Peninsula, 2008-2011.\n 
|
| Institution: | National Science Foundation (Dataset ID: AdeliePenguinMicroSatellite) |
| Information: | Summary
| License
| Metadata
| Background
| Subset
| Files
| Make a graph
|
Attributes {
s {
study_name {
String column_name "studyName";
String comment "Study name";
String ioos_category "Unknown";
String long_name "Study";
}
sample_number {
Int16 _FillValue 32767;
Int16 actual_range 1, 186;
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
Float64 column_id 4541;
String column_name "col_4541";
String ioos_category "Statistics";
String long_name "Sample Number";
String lter_column_description "Continuous numbering sequence for each sample";
String lter_column_name "Sample Number";
String lter_mscale "interval";
String lter_num_type "integer";
String lter_units_string "number";
String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
}
sample_number_region {
Int16 _FillValue 32767;
Int16 actual_range 1, 100;
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
Float64 column_id 4542;
String column_name "col_4542";
String ioos_category "Statistics";
String long_name "Sample Number Region";
String lter_column_description "Continuous numbering sequence for each sample within region";
String lter_column_name "Sample Number (Region)";
String lter_mscale "interval";
String lter_num_type "integer";
String lter_units_string "number";
String units_conventions "EML-2.0.1,EML-2.1.0,EML-LTER";
}
species {
Float64 column_id 4543;
String column_name "col_4543";
String ioos_category "Taxonomy";
String long_name "Species";
String lter_column_description "Common and scientific name for the species these data represent";
String lter_column_name "Species";
String lter_mscale "nominal";
}
region {
Float64 column_id 4544;
String column_name "col_4544";
String ioos_category "Location";
String long_name "Region";
String lter_column_description "Region of PAL-LTER grid";
String lter_column_name "Region";
String lter_mscale "nominal";
}
reproductive_stage {
Float64 column_id 4545;
String column_name "col_4545";
String ioos_category "Biology";
String long_name "Reproductive Stage";
String lter_column_description "Reproductive stage at sampling";
String lter_column_name "Stage";
String lter_mscale "nominal";
}
individual_id {
Float64 column_id 4546;
String column_name "col_4546";
String ioos_category "Identifier";
String long_name "Individual Id";
String lter_column_description "A unique ID for each individual in the dataset";
String lter_column_name "Individual ID";
String lter_mscale "nominal";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.225584e+9, 1.2966048e+9;
String axis "T";
String calendar "proleptic_gregorian";
Float64 column_id 4547;
String column_name "col_4547";
String ioos_category "Time";
String long_name "Time";
String lter_column_description "Date adults or chicks were sampled";
String lter_column_name "Date Sampled";
String lter_mscale "dateTime";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String units "seconds since 1970-01-01T00:00:00Z";
}
AM12_1 {
Int16 _FillValue 32767;
Int16 actual_range 159, 169;
Float64 column_id 5118;
String column_name "col_5118";
String ioos_category "Unknown";
String long_name "AM12 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: AM12. Genbank accession number: AF131242";
String lter_column_name "AM12 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
AM12_2 {
Int16 _FillValue 32767;
Int16 actual_range 165, 171;
Float64 column_id 5119;
String column_name "col_5119";
String ioos_category "Unknown";
String long_name "AM12 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: AM12. Genbank accession number: AF131242";
String lter_column_name "AM12 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
AM13_1 {
Int16 _FillValue 32767;
Int16 actual_range 131, 149;
Float64 column_id 5120;
String column_name "col_5120";
String ioos_category "Unknown";
String long_name "AM13 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: A13. Genbank accession number: AF131243";
String lter_column_name "AM13 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
AM13_2 {
Int16 _FillValue 32767;
Int16 actual_range 133, 156;
Float64 column_id 5121;
String column_name "col_5121";
String ioos_category "Unknown";
String long_name "AM13 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: A13. Genbank accession number: AF131243";
String lter_column_name "AM13 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH008_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 157, 159;
Float64 column_id 5122;
String column_name "col_5122";
String ioos_category "Unknown";
String long_name "ECH008 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: ECH008-1. Genbank accession number: FM878339";
String lter_column_name "ECH008-1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH008_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 157, 161;
Float64 column_id 5123;
String column_name "col_5123";
String ioos_category "Unknown";
String long_name "ECH008 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: ECH008-1. Genbank accession number: FM878339";
String lter_column_name "ECH008-1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH060_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 131, 139;
Float64 column_id 5124;
String column_name "col_5124";
String ioos_category "Unknown";
String long_name "ECH060 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: ECH060-1. Genbank accession number: FM878391";
String lter_column_name "ECH060-1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH060_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 133, 141;
Float64 column_id 5125;
String column_name "col_5125";
String ioos_category "Unknown";
String long_name "ECH060 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: ECH060-1. Genbank accession number: FM878391";
String lter_column_name "ECH060-1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH065_1 {
Int16 _FillValue 32767;
Int16 actual_range 177, 187;
Float64 column_id 5126;
String column_name "col_5126";
String ioos_category "Unknown";
String long_name "ECH065 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: ECH065. Genbank accession number: FM878396";
String lter_column_name "ECH065 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH065_2 {
Int16 _FillValue 32767;
Int16 actual_range 182, 193;
Float64 column_id 5127;
String column_name "col_5127";
String ioos_category "Unknown";
String long_name "ECH065 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: ECH065. Genbank accession number: FM878396";
String lter_column_name "ECH065 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH091_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 176, 186;
Float64 column_id 5128;
String column_name "col_5128";
String ioos_category "Unknown";
String long_name "ECH091 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: ECH091-1. Genbank accession number: FM878422";
String lter_column_name "ECH091-1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
ECH091_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 176, 186;
Float64 column_id 5129;
String column_name "col_5129";
String ioos_category "Unknown";
String long_name "ECH091 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: ECH091-1. Genbank accession number: FM878422";
String lter_column_name "ECH091-1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
EMM_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 109, 129;
Float64 column_id 5130;
String column_name "col_5130";
String ioos_category "Unknown";
String long_name "EMM 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: EMM1-1. Genbank accession number: DQ837729";
String lter_column_name "EMM1-1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
EMM_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 111, 131;
Float64 column_id 5131;
String column_name "col_5131";
String ioos_category "Unknown";
String long_name "EMM 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: EMM1-1. Genbank accession number: DQ837729";
String lter_column_name "EMM1-1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
EMM4_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 138, 162;
Float64 column_id 5132;
String column_name "col_5132";
String ioos_category "Unknown";
String long_name "EMM4 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: EMM4-1. Genbank accession number: DQ837732";
String lter_column_name "EMM4-1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
EMM4_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 142, 166;
Float64 column_id 5133;
String column_name "col_5133";
String ioos_category "Unknown";
String long_name "EMM4 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: EMM4-1. Genbank accession number: DQ837732";
String lter_column_name "EMM4-1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
RM3_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 235, 243;
Float64 column_id 5134;
String column_name "col_5134";
String ioos_category "Unknown";
String long_name "RM3 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: RM.3-1. Genbank accession number: AF289546";
String lter_column_name "RM3.1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
RM3_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 235, 247;
Float64 column_id 5135;
String column_name "col_5135";
String ioos_category "Unknown";
String long_name "RM3 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: RM.3-1. Genbank accession number: AF289546";
String lter_column_name "RM3.1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
RM6_1_1 {
Int16 _FillValue 32767;
Int16 actual_range 170, 178;
Float64 column_id 5136;
String column_name "col_5136";
String ioos_category "Unknown";
String long_name "RM6 1 1";
String lter_column_description "Allele 1 base-pair count. Microsatellite: RM6-1. Genbank accession number: AF289546";
String lter_column_name "RM6-1 (1)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
RM6_1_2 {
Int16 _FillValue 32767;
Int16 actual_range 174, 182;
Float64 column_id 5137;
String column_name "col_5137";
String ioos_category "Unknown";
String long_name "RM6 1 2";
String lter_column_description "Allele 2 base-pair count. Microsatellite: RM6-1. Genbank accession number: AF289546";
String lter_column_name "RM6-1 (2)";
String lter_mscale "ratio";
String lter_num_type "integer";
String lter_units_string "count";
String units_conventions "BNZ-LTER,CDR-LTER";
}
}
NC_GLOBAL {
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 "kgorman@sfu.ca";
String contributor_name "Kristen Gorman";
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 "239";
String datazoo_datatable_id "239";
String datazoo_datatable_label "Population genetic structure, nuclear markers - adult and chick Adelie penguins";
String datazoo_datatable_name "AdeliePenguinMicrosatellite";
String date_created "2022-03-24T13:13:29Z";
String date_issued "2022-03-24T13:13:29Z";
String doi "https://doi.org/10.6073/pasta/ad5d0315c816218a13bc7f11078a9d5c";
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
"/Users/kerfoot/data/lter/data/tsv/dat_239/dat_239_PAL0910.tsv
2025-05-04T15:10:15Z (local files)
2025-05-04T15:10:15Z http://pallter-data.marine.rutgers.edu/erddap/tabledap/AdeliePenguinMicroSatellite.html";
String infoUrl "https://pal.lternet.edu/";
String institution "National Science Foundation";
String keywords "birds, genetics, habitats, populations";
String keywords_vocabulary "LTER Controlled Vocabulary";
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: Each season, study nests, where pairs of adults were present, were individually marked and chosen before the onset of egg-laying, and consistently monitored. When study nests were found at the one-egg stage, both adults were captured to obtain blood samples used for genetic analyses. At the time of capture, each adult penguin was quickly blood sampled (~1 ml) from the brachial vein using a sterile 3 ml syringe and infusion needle. Collected blood was stored in 1.5 ml micro-centrifuge tubes containing Longmire blood preservation buffer. After handling, individuals at study nests were further monitored to ensure the pair reached clutch completion, i.e., two eggs.Each season, at five weeks into chick-rearing, older crèched chicks were captured and quickly blood sampled from study rookeries to obtain blood samples used for genetic analyses. At the time of capture, each chick penguin was quickly blood sampled (~1 ml) from the brachial vein using a sterile 3 ml syringe and infusion needle. Collected blood was stored in 1.5 ml micro-centrifuge tubes containing Longmire blood preservation buffer.";
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 "/Users/kerfoot/data/lter/data/tsv/dat_239/dat_239_PAL0910.tsv";
String sourceUrl "(local files)";
String standard_name_vocabulary "CF Standard Name Table v77";
String subsetVariables "study_name,region,reproductive_stage";
String summary "We used nuclear and mitochondrial DNA (mtDNA, data archived in GenBank) markers to better understand historical population genetic structure and gene flow given relatively recent and ongoing reductions in sea ice habitats and changes in numbers of breeding adult Adelie penguins at regional rookeries along the western Antarctic Peninsula. Study nests near Anvers Island, where pairs of adults were present, were individually marked and chosen before the onset of egg-laying, and consistently monitored each season (2008-2009). When study nests were found at the one-egg stage, both adults were captured to obtain blood samples used for population genetic analyses. At the time of capture, each adult penguin was quickly blood sampled (~1 ml) from the brachial vein using a and non-heparinized, sterile 3 ml syringe infusion needle. After handling, individuals at study nests were further monitored to ensure the pair reached clutch completion, i.e., two eggs. Adélie penguin chicks at Avian Island were sampled over two years (2009-2010), Adelie chicks as Prospect Point were sampled during one year (2011), while chicks at Charcot Island were sampled during two seasons (2010-2011). Blood samples from crèched chicks (~1 ml) were taken from the brachial vein using a sterile 3 ml syringe and infusion needle following sampling procedures used for adult penguins. Genetic analyses were conducted at the wildlife genetics laboratory, Alaska Science Center - United States Geological Survey (USGS), under the supervision of geneticist Dr. S.L. Talbot.\\n\\nData presented here are raw data only and do not include any derived data products. For any meta-analyses with other microsatellite data, proper calibration across labs must be completed. Data were produced at the Alaska Science Center, USGS wildlife genetics laboratory under the supervision of Dr. Sandra Talbot (stalbot@usgs.gov). Questions regarding data or any laboratory cross-validation should be directed to Dr. Kristen Gorman (kgorman@sfu.ca).";
String time_coverage_end "2011-02-02T00:00:00Z";
String time_coverage_start "2008-11-02T00:00:00Z";
String title "Nuclear genetic markers used to infer population genetic structure among breeding Adelie penguins from four regional rookeries along the western Antarctic Peninsula, 2008-2011.\\n";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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.