ERDDAP > tabledap > Data Access Form

Dataset Title:	[Temporal Comparison of Mussel (Mytilus californianus) Shell Thickness] - Temporal comparison of mussel (Mytilus californianus) shell thickness determined from shells collected from six study sites along the west coast of North America from 2000 to 2019 (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_908647_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bodega Head"	"Van Damme"
Site_Code (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"ARA"	"VD"
State (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CA"	"OR"
Latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		36.44722	44.83778
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-124.4019	-121.9289
Date_Collected (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2000-07-01"	"2019-06-09"
Year_Collected (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2000"	"2019"
Time_Period (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2000/01"	"2019"
Quadrat_num (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"Extra Drilled 2"
Mussel_num (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	751
Shell_Length (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		17.02	157.8
Height (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.66	60.32
Width (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		6.98	31.09
Shell_Weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.0083	79.9182
Surface_Area (square millimeters (mm^2))	!= =~ <= >= = < >		!= =~ <= >= = < >		817.3835	7801.793
Indirect_Shell_thickness_of_Valve (grams per square millimeter (g/mm^2))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.042974	11.40716
Drilled (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Drilled"	"Not Drilled"
R_vs_L (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"L"	"R"
A_vs_P (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A"	"P"
Max_Thickness (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.481	6.434
Min_Thickness (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.265	3.123
Average_Thickness (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.373	4.201
Integrated_Segment_Thickness (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.949	3.381

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Site Site_Code State Latitude longitude Date_Collected Year_Collected Time_Period Quadrat_num Mussel_num Shell_Length Height Width Shell_Weight Surface_Area Indirect_Shell_thickness_of_Valve Drilled R_vs_L A_vs_P Max_Thickness Min_Thickness Average_Thickness Integrated_Segment_Thickness Site Site_Code State Latitude longitude Date_Collected Year_Collected Time_Period Quadrat_num Mussel_num Shell_Length Height Width Shell_Weight Surface_Area Indirect_Shell_thickness_of_Valve Drilled R_vs_L A_vs_P Max_Thickness Min_Thickness Average_Thickness Integrated_Segment_Thickness Site Site_Code State Latitude longitude Date_Collected Year_Collected Time_Period Quadrat_num Mussel_num Shell_Length Height Width Shell_Weight Surface_Area Indirect_Shell_thickness_of_Valve Drilled R_vs_L A_vs_P Max_Thickness Min_Thickness Average_Thickness Integrated_Segment_Thickness Site Site_Code State Latitude longitude Date_Collected Year_Collected Time_Period Quadrat_num Mussel_num Shell_Length Height Width Shell_Weight Surface_Area Indirect_Shell_thickness_of_Valve Drilled R_vs_L A_vs_P Max_Thickness Min_Thickness Average_Thickness Integrated_Segment_Thickness Site Site_Code State Latitude longitude Date_Collected Year_Collected Time_Period Quadrat_num Mussel_num Shell_Length Height Width Shell_Weight Surface_Area Indirect_Shell_thickness_of_Valve Drilled R_vs_L A_vs_P Max_Thickness Min_Thickness Average_Thickness Integrated_Segment_Thickness ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Site_Code {
    String long_name "Site_code";
    String units "unitless";
  }
  State {
    String long_name "State";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range 36.44722, 44.83778;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -124.4019, -121.9289;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date_Collected {
    String long_name "Date_collected";
    String units "unitless";
  }
  Year_Collected {
    String long_name "Year_collected";
    String units "unitless";
  }
  Time_Period {
    String long_name "Time_period";
    String units "unitless";
  }
  Quadrat_num {
    String long_name "Quadrat_num";
    String units "unitless";
  }
  Mussel_num {
    Int32 actual_range 1, 751;
    String long_name "Mussel_num";
    String units "unitless";
  }
  Shell_Length {
    Float32 actual_range 17.02, 157.8;
    String long_name "Shell_length";
    String units "millimeters (mm)";
  }
  Height {
    Float32 actual_range 3.66, 60.32;
    String long_name "Height";
    String units "millimeters (mm)";
  }
  Width {
    Float32 actual_range 6.98, 31.09;
    String long_name "Width";
    String units "millimeters (mm)";
  }
  Shell_Weight {
    Float32 actual_range 2.0083, 79.9182;
    String long_name "Shell_weight";
    String units "grams (g)";
  }
  Surface_Area {
    Float32 actual_range 817.3835, 7801.793;
    String long_name "Surface_area";
    String units "square millimeters (mm^2)";
  }
  Indirect_Shell_thickness_of_Valve {
    Float32 actual_range 2.042974, 11.40716;
    String long_name "Indirect_shell_thickness_of_valve";
    String units "grams per square millimeter (g/mm^2)";
  }
  Drilled {
    String long_name "Drilled";
    String units "unitless";
  }
  R_vs_L {
    String long_name "R_vs_l";
    String units "unitless";
  }
  A_vs_P {
    String long_name "A_vs_p";
    String units "unitless";
  }
  Max_Thickness {
    Float32 actual_range 0.481, 6.434;
    String long_name "Max_thickness";
    String units "millimeters (mm)";
  }
  Min_Thickness {
    Float32 actual_range 0.265, 3.123;
    String long_name "Min_thickness";
    String units "millimeters (mm)";
  }
  Average_Thickness {
    Float32 actual_range 0.373, 4.201;
    String long_name "Average_thickness";
    String units "millimeters (mm)";
  }
  Integrated_Segment_Thickness {
    Float32 actual_range 0.949, 3.381;
    String long_name "Integrated_segment_thickness";
    String units "millimeters (mm)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.908647.1";
    Float64 Easternmost_Easting -121.9289;
    Float64 geospatial_lon_max -121.9289;
    Float64 geospatial_lon_min -124.4019;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T17:31:48Z (local files)
2024-11-23T17:31:48Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908647_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/908647";
    String institution "BCO-DMO";
    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 sourceUrl "(local files)";
    String summary "Climate change, specifically ocean acidification, is impacting calcification of marine organisms. A reduction in pH has been shown to affect mussel growth and shell thickness along the Pacific coast of North America. Mussels, Mytilus californianus, are a foundation species in rocky shore ecosystems and are prey for a number of taxa, including the Channeled Dogwhelk, Nucella canaliculata, which feeds by drilling a hole through the shell of their prey. Previous research has documented geographic variation in N. canaliculata predator drilling phenotype on Mytilus californianus. However, few studies have assessed how variation in mussel shell traits shape the evolution of this co-evolving predator. Thus, we analyzed M. californianus shell thickness over two decades (2000-2001, 2008-2009, and 2019) and across ~1,000 kilometers of coastline to quantify the prey-driven selection landscape. We analyzed mussel shell thickness at 1/3 the length of the mussel shell as this is the most commonly drilled region. Mussel shells from the central Oregon coast were thicker than those from California. This pattern is associated with geographic variation in predator drilling phenotypes. However, the selective landscape appears to be changing, with recent mussel shells being thinner than a decade prior, particularly on the central Oregon coast. This research highlights the importance of studying species interactions across broad spatial and temporal scales.";
    String title "[Temporal Comparison of Mussel (Mytilus californianus) Shell Thickness] - Temporal comparison of mussel (Mytilus californianus) shell thickness determined from shells collected from six study sites along the west coast of North America from 2000 to 2019 (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)";
    Float64 Westernmost_Easting -124.4019;
  }
}

 

---

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 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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.

 

---

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact