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Dataset Title:  CCE Prey Size and Hard Part Size Regressions Subscribe RSS
Institution:  NOAA Fisheries Southwest Fisheries Science Center   (Dataset ID: mmtdPreySizeHPRegressions)
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 {
  PreyType {
    String description "Prey type (classified by taxonomy, e.g., cephalopod, teleost)";
    String ioos_category "Other";
    String long_name "Prey Type";
  }
  ScientificName {
    String description "Scientific name of species or higher taxonomic level of aggregation";
    String ioos_category "Identifier";
    String long_name "Scientific Name";
  }
  y {
    String description "Measurement being predicted from regression (TL = total length in mm, Wt = specimen weight in g, ML = mantle length in mm, LHL = lower hood length in mm, OL = otolith length in mm, SL = standard length in mm, OP = otolith perimeter from digital image in mm, OPA = otolith projected area from digital image in mm^2, OW = otolith width in mm, OWt = otolith weight in mg)";
    String ioos_category "Other";
    String long_name "Response";
  }
  x {
    String description "Predictor measurement in regression (THW = tooth width at base, TL = total length in mm, SL = standard length in mm, TSL = test length in mm, ML = mantle length in mm, URL = upper rostrum length in mm, LRL = lower rostrum length in mm, URW = upper rostrum width in mm, UHL = upper hood length in mm, LHL = lower hood length in mm, DCL = dactyl length in mm, OL = otolith length in mm, SL = standard length in mm, OW = otolith width in mm)";
    String ioos_category "Other";
    String long_name "Predictor";
  }
  Model {
    String description "Type of regression model (simple: y = b0 + b1*x, lnln: ln(y) =  b0 + b1*ln(x))";
    String ioos_category "Other";
    String long_name "Model";
  }
  b0 {
    Float32 actual_range -157.546, 24.48;
    String description "Intercept for regression";
    String ioos_category "Other";
    String long_name "Intercept";
  }
  b1 {
    Float32 actual_range 0.2421, 573.1;
    String description "Slope for regression";
    String ioos_category "Other";
    String long_name "Slope";
  }
  b0_se {
    Float32 actual_range 0.017, 27.0;
    String description "Standard error of regression intercept";
    String ioos_category "Other";
    String long_name "Intercept Standard Error";
  }
  b1_se {
    Float32 actual_range 0.0047, 24.0;
    String description "Standard error of regression slope";
    String ioos_category "Other";
    String long_name "Slope Standard Error";
  }
  s_yx {
    Float32 actual_range 0.032, 79.587;
    String description "Residual standard deviation of regression";
    String ioos_category "Other";
    String long_name "Residual standard deviation";
  }
  r2 {
    Float32 actual_range 0.316, 1.0;
    String description "Coefficient of determination of regression";
    String ioos_category "Other";
    String long_name "R Squared";
  }
  n {
    Int32 actual_range 1, 459;
    String description "Sample size for regression";
    String ioos_category "Other";
    String long_name "Sample size";
  }
  p {
    String description "P-value for regression, as character string";
    String ioos_category "Other";
    String long_name "P Value";
  }
  Objective {
    String description "Purpose of regression (i.e., to estimate prey size or to estimate otolith morphometrics)";
    String ioos_category "Other";
    String long_name "Objective";
  }
 }
  NC_GLOBAL {
    String acknowledgment "Many researchers collected samples from R/Vs and from commercial catch. Special thanks to Darrin Bergen, who collected specimens as extensively as the CDFG R/V Mako allowed him to roam from San Diego in a day (some might argue farther). Joelle Sweeney contributed otoliths and corresponding length and weight data for Oncorhynchus mykiss, Sebastes jordani and Sebastes goodei. Size data and specimens for Oncorhynchus gorbuscha were provided by Steve Moffitt and Dion Oxman of Alaska Department of Fish and Game, Joe Orsi of Alaska Fisheries Science Center, and Tyler Zubkowski of Department of Fisheries and Oceans Canada. Roberta Folk, Jim Carretta, Terry Farley, Amy Betcher, Rachel Struch, Morgan Martin, and Stephanie Nehasil helped measure and weigh specimens in the lab. Digital microscope equipment and instruction were provided by Wayne Perryman and Morgan Lynn.  Microgram scales for weighing otoliths were provided by Bev Macewicz, Barbara Javor, and Jeff Seminoff. Collections managers and staff provided extensive access and expertise, including Ben Frable and H. J. Walker of the Scripps Institution of Oceanography (SIO) Marine Vertebrate Collection, Linsey Sala of the SIO Pelagic Invertebrate Collection and Eric Hochberg of Santa Barbara Museum of Natural History. Christine Thacker, Rick Feeney, Jeff Seigel, and Neftali Camacho of the Natural History Museum of Los Angeles County provided otoliths from the Fitch Otolith Collection.";
    String cdm_data_type "Other";
    String contributor_name "Mark S. Lowry, K. Alexandra Curtis (NOAA Southwest Fisheries Science Center), Christiana M. Boerger (California State University Northridge), and Joelle M. Sweeney (Moss Landing Marine Laboratories)";
    String Conventions "CF-1.6, ACDD-1.3, COARDS, NCCSV-1.1";
    String creator_email "Lynn.Dewitt@noaa.gov";
    String history 
"2024-04-27T09:45:29Z (local files)
2024-04-27T09:45:29Z http://upwell.pfeg.noaa.gov/tabledap/mmtdPreySizeHPRegressions.das";
    String infoUrl "https://www.fisheries.noaa.gov/west-coast/science-data/california-current-marine-mammal-assessment-program";
    String institution "NOAA Fisheries Southwest Fisheries Science Center";
    String keywords "batoid, California sea lion, cephalopod, decapod, diet, Earth Science > Biological Classification > Animals/Vertebrates > Fish, Earth Science > Biological Classification > Animals/Vertebrates > Mammals > Carnivores > Seals/Sea Lions/Walruses, hagfish, life history, Oceans >Coastal pelagic species, octopus, pinniped, predator, prey, pyrosome, squid, teleost, trophic, tuna crab, tunicate, Zalophus californianus";
    String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.";
    String project "California Sea Lion Diet Time Series";
    String publisher_email "alex.curtis at noaa.gov";
    String publisher_name "California Current Marine Mammal Assessment Program";
    String references "Data publication: Lowry, M.S., Curtis, K.A., Boerger, C.M., Sweeney, J.M. 2020. Measurements and regressions of California Current prey size and hard parts and otolith morphometrics. SEANOE. doi:10.17882/77522.\\nPlease also cite the related publication: Lowry, M.S., Curtis, K.A., Boerger, C.M. 2020. Measurements and regressions of otoliths, cephalopod beaks, and other prey hard parts used to reconstruct California Current predator diet composition. U.S. Department of Commerce, NOAA Technical Memorandum NMFS-SWFSC-637. doi:10.25923/07ew-8f35";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "ScientificName,PreyType,Model,y,x,Objective";
    String summary "Individual whole specimens and hard parts (e.g., beaks, teeth) measured for non-teleost forage species in the California Current Ecosystem, focused on documented prey of California sea lions at Southern California Bight rookeries.";
    String title "CCE Prey Size and Hard Part Size Regressions";
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://upwell.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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