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Dataset Title:  Counts of prey species found in harbor seal scat samples collected in the San
Juan Islands from 2005-2008 (Seal_response_to_prey project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3817)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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 {
  species {
    String bcodmo_name "species";
    String description "Taxonomic name of the prey species.";
    String long_name "Species";
    String units "text";
  }
  common_name {
    String bcodmo_name "common_name";
    String description "Common name of the prey species.";
    String long_name "Common Name";
    String units "text";
  }
  family {
    String bcodmo_name "family";
    String description "Taxonomic family name.";
    String long_name "Family";
    String units "text";
  }
  season {
    String bcodmo_name "season";
    String description 
"Sampling season:
Spring = March to early June,
Summer/Fall = late July to September,
Winter = January to February.";
    String long_name "Season";
    String units "text";
  }
  count {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 631;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Total number of occurrences of the species identified in the seal scat samples.";
    String long_name "Count";
    String units "integer";
  }
  pcnt_unweighted {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 67.32;
    String bcodmo_name "unknown";
    String description "Unweighted occurrence frequency of the species.";
    String long_name "Pcnt Unweighted";
    String units "%";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"From Lance et al.:  
 From 2005 to 2008, fecal samples (scats) were collected seasonally over 3
collection periods: March to early June (\\u2018spring\\u2019), late July to
September (\\u2018summer/fall\\u2019), and January to February
(\\u2018winter\\u2019). Scats were collected from 23 haul-out locations during
daytime low tides. The sites were dispersed throughout the study area,
represented various habitat types used by harbor seals, were the largest haul-
outs where adequate sample sizes could be collected, and were easily
accessible by boat. Two or three collection trips were made each season, with
a target sample size of 60 scats per season per region.
 
Samples were stored frozen. In the lab, samples were enclosed in fine mesh
paint-strainer bags and cleaned using a washing machine or nested sieves. Hard
parts were cleaned and stored dry. Prey were identified to lowest possible
taxon using a dissecting microscope, reference fish bone collections, and
published keys.";
    String awards_0_award_nid "54955";
    String awards_0_award_number "OCE-0550443";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0550443";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Prey species found in seal scat from the San Juan Islands 
 Lead PI: Alejandro Acevedo-Gutierrez 
 Version: 12 Dec 2012";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2012-12-13T14:52:47Z";
    String date_modified "2019-11-01T14:53:29Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3817.1";
    String history 
"2021-10-18T16:43:31Z (local files)
2021-10-18T16:43:31Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3817.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3817";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, common, common_name, count, data, dataset, dmo, erddap, family, management, name, oceanography, office, pcnt, pcnt_unweighted, preliminary, season, species, unweighted";
    String license "https://www.bco-dmo.org/dataset/3817/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3817";
    String param_mapping "{'3817': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3817/parameters";
    String people_0_affiliation "Western Washington University";
    String people_0_affiliation_acronym "WWU";
    String people_0_person_name "Alejandro Acevedo-Gutierrez";
    String people_0_person_nid "51487";
    String people_0_role "Lead Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "United States Geological Survey";
    String people_1_affiliation_acronym "USGS";
    String people_1_person_name "Jeffrey F Bromaghin";
    String people_1_person_nid "51491";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Washington Department of Fish and Wildlife";
    String people_2_person_name "Steven J Jeffries";
    String people_2_person_nid "51489";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Alaska,  Anchorage";
    String people_3_affiliation_acronym "UAA";
    String people_3_person_name "John M Kennish";
    String people_3_person_nid "51490";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Washington Department of Fish and Wildlife";
    String people_4_person_name "Monique  M Lance";
    String people_4_person_nid "51488";
    String people_4_role "Co-Principal Investigator";
    String people_4_role_type "originator";
    String people_5_affiliation "National Marine Fisheries Service";
    String people_5_affiliation_acronym "NMFS";
    String people_5_person_name "Philip S Levin";
    String people_5_person_nid "51492";
    String people_5_role "Co-Principal Investigator";
    String people_5_role_type "originator";
    String people_6_affiliation "Woods Hole Oceanographic Institution";
    String people_6_affiliation_acronym "WHOI BCO-DMO";
    String people_6_person_name "Shannon Rauch";
    String people_6_person_nid "51498";
    String people_6_role "BCO-DMO Data Manager";
    String people_6_role_type "related";
    String project "Seal_response_to_prey";
    String projects_0_acronym "Seal_response_to_prey";
    String projects_0_description 
"From NSF proposal:
This project is a collaborative study of the responses of harbor seals and other mammalian predators to changes in prey density in Puget Sound. The general study approach will involve multi-year field estimates to observe the responses of predators to rockfish density in protected areas, candidate marine reserves, and unprotected sites.
The collaborating investigators will estimate 1) rockfish density using visual and mark and recapture techniques; 2) predator abundance using aerials surveys and dedicated land observations; and 3) predator food consumption using scat to describe diet, tagging of harbor seals to describe individual foraging sites, and population-based and individual bioenergetics models to describe consumption of rockfish. The investigators will also take into account confounding factors that might explain predator behavior, such as environmental variables and alternative prey, by creating a GIS database from available information from the area. The different field observations and database estimates are explicitly linked through a common hypothesis and coordinated methodologies, and their results will be integrated into a model describing the impact of predation on rockfish populations. The responses of top predators to changes in prey density and their impact on fish populations of interest are unknown. This study will evaluate the effectiveness of MPAs as fish refugia, offer a framework for the management and conservation of marine resources, and provide an exciting opportunity for students to participate in ecological and conservation research.
Hypotheses:
1) Harbor seals and other pinniped species show aggregative responses to changes in prey density. Hence, their abundance will increase with fish density.
2) Harbor seals and other pinniped species show Type 2 or 3 functional responses to changes in prey density. Thus, their consumption rate of a particular prey type follows an asymptotic or sigmoidal curve relative to the prey’s density, respectively.
3) Predation by harbor seals and other pinniped species is sufficiently intense that it impedes recovery of depleted fish populations.
Objectives:
1) Quantify the number of harbor seals and other pinniped species in relation to rockfish density and other environmental (confounding) factors.
2) Estimate the consumption rate of harbor seals and other pinniped species in relation to rockfish density and other prey species.
3) Correlatively estimate the influence of predation by harbor seals and other pinniped species on survivorship and population size of rockfish.
Publications resulting from this NSF award:Bjorland, R. H., Pearson, S. F, Jeffries, S. J, Lance, M. M., Acevedo- Gutiérrez, A. & Ward, E. J. 2015. Stable isotope mixing models elucidate sex and size effects on the diet of a generalist marine predator. Marine Ecology Progress Series 526: 213-225. DOI: 10.3354/meps11230Bromaghin, J. F., Lance, M. M., Elliott, E. W., Jeffries, S. J., Acevedo-Gutierrez, A. & Kennish, J. M. 2013. New insights into the diets of harbor seals in the Salish Sea of western North America revealed by quantitative fatty acid signature analysis. Fishery Bulletin 111: 13-26. DOI: 10.7755/FB.111.1.2Buzzell, B.1, Lance, M. & Acevedo-Gutiérrez, A. 2014. Spatial and temporal variation in river otter (Lontra canadensis) diet and predation on rockfish (Genus Sebastes) in the San Juan Islands, Washington. Aquatic Mammals 40: 150- 161. DOI: 10.1578/AM.40.2.2014.150Howard, S., Lance, M., Jeffries, S. & Acevedo-Gutierrez, A. 2013. Fish consumption by harbor seals (Phoca vitulina) in the San Juan Islands, WA. Fishery Bulletin 111: 27-41. DOI: 10.7755/FB.111.1.3Lance, M. M., Chang, W.-Y., Jeffries, S. J., Pearson, S. F. & Acevedo-Gutierrez, A. 2012. Harbor seal diet in northern Puget Sound: implications for the recovery of depressed fish stocks. Marine Ecology Progress Series 464:257-271. DOI:10.3354/meps09880Luxa, K. & Acevedo-Gutierrez, A. 2013. Food habits of harbor seals (Phoca vitulina) in two estuaries in the central Salish Sea. Aquatic Mammals 39: 10- 22. DOI: 10.1578/AM.39.1.2013.10Peterson, S., Lance, M. M., Jeffries, S. J. & Acevedo-Gutierrez, A. 2012. Long distance movements and disjunct spatial use of harbor seals (Phoca vitulina) in the inland waters of the Pacific Northwest. PLoS ONE 7: e39046. DOI: 10.1371/journal.pone.0039046Thomas, AC; Lance, MM; Jeffries, SJ; Miner, BG; Acevedo-Gutierrez, A. 2011. Harbor seal foraging response to a seasonal resource pulse, spawning Pacific herring. Marine Ecology-Progress Series, v.441. p. 225. DOI: 10.3354/meps09370Ward, EJ; Levin, PS; Lance, MM; Jeffries, SJ; Acevedo-Gutierrez, A. 2012. Integrating diet and movement data to identify hot spots of predation risk and areas of conservation concern for endangered species. Conservation Letters, v.5, p. 37. DOI: 10.1111/j.1755-263X.2011.00210.xWilson, K.2, Lance, M., Jeffries, S. & Acevedo-Gutiérrez, A. 2014. Fine-scale variability in harbor seal foraging behavior. PLoS ONE 9: e92838. DOI: 10.1371/journal.pone.0092838.";
    String projects_0_end_date "2012-03";
    String projects_0_geolocation "Salish Sea, USA and Canada";
    String projects_0_name "Responses of Seals and Sea Lions to Increased Rockfish Density";
    String projects_0_project_nid "2205";
    String projects_0_project_website "http://biol.wwu.edu/mbel/?page=research";
    String projects_0_start_date "2006-04";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Counts of prey species found in harbor seal scat samples collected in the San Juan Islands from 2005-2008.";
    String title "Counts of prey species found in harbor seal scat samples collected in the San Juan Islands from 2005-2008 (Seal_response_to_prey project)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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