ERDDAP > tabledap > Data Access Form

Dataset Title:	[Predation Rate] - Predation rates by Pisaster ochraceus on Mytilus californianus along the Oregon and Northern California rocky intertidal coastline from 1999 to 2023 (RAPID: Testing the rocky intertidal community consequences of the decimation of purple sea star populations along the Oregon coast by sea star wasting disease)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_990987_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
GroupCode (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"OSU"	"OSU"
SiteCode (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"BB"	"YB"
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bodega"	"Yachats Beach"
Latitude (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		38.3182	44.83864
Longitude (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		-124.5651	-123.0736
Cape (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bodega Head"	"Point Arena"
Region (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"NorCal"	"Oregon"
State (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"California"	"Oregon"
Year (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1999	2023
Month (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		6	12
Day (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	31
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1999-06-14"	"2023-11-29"
StartDate (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1999-06-14"	"2023-06-21"
DaysSinceStart (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	178
YearStart (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1999	2023
Exposure (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"E"	"E"
Zone (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"L"	"L"
Rep (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"6"
Treatment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CompleteCage"	"PartialCage"
PisTreatment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Pisaster excluded"	"Pisaster present"
PlotTimeline (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"End"	"Start"
PlotStatus (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Active"	"Active"
MusselsAtStart (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	65
Count_LiveMussels (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	65
PropMussRemaining (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.222222
Change_Mussels (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		-52	9
MusselsAtEnd (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	61
TotalMussKilled (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		-4	56
N_Observations (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	12
StarSearch_Count (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"9"
StarSearch_Area_m2 (meters squared (m2))	!= =~ <= >= = < >		!= =~ <= >= = < >		"12.57"	"3.14"
LocalStarDens_m2 (stars per square meter squared (#/m2))	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"9.87261146496815"
PISOCH_InCC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A"	"Y"
PISOCH_Count_InPlot (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"2"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" GroupCode SiteCode Site Latitude Longitude Cape Region State Year Month Day Date StartDate DaysSinceStart YearStart Exposure Zone Rep Treatment PisTreatment PlotTimeline PlotStatus MusselsAtStart Count_LiveMussels PropMussRemaining Change_Mussels MusselsAtEnd TotalMussKilled N_Observations StarSearch_Count StarSearch_Area_m2 LocalStarDens_m2 PISOCH_InCC PISOCH_Count_InPlot GroupCode SiteCode Site Latitude Longitude Cape Region State Year Month Day Date StartDate DaysSinceStart YearStart Exposure Zone Rep Treatment PisTreatment PlotTimeline PlotStatus MusselsAtStart Count_LiveMussels PropMussRemaining Change_Mussels MusselsAtEnd TotalMussKilled N_Observations StarSearch_Count StarSearch_Area_m2 LocalStarDens_m2 PISOCH_InCC PISOCH_Count_InPlot GroupCode SiteCode Site Latitude Longitude Cape Region State Year Month Day Date StartDate DaysSinceStart YearStart Exposure Zone Rep Treatment PisTreatment PlotTimeline PlotStatus MusselsAtStart Count_LiveMussels PropMussRemaining Change_Mussels MusselsAtEnd TotalMussKilled N_Observations StarSearch_Count StarSearch_Area_m2 LocalStarDens_m2 PISOCH_InCC PISOCH_Count_InPlot GroupCode SiteCode Site Latitude Longitude Cape Region State Year Month Day Date StartDate DaysSinceStart YearStart Exposure Zone Rep Treatment PisTreatment PlotTimeline PlotStatus MusselsAtStart Count_LiveMussels PropMussRemaining Change_Mussels MusselsAtEnd TotalMussKilled N_Observations StarSearch_Count StarSearch_Area_m2 LocalStarDens_m2 PISOCH_InCC PISOCH_Count_InPlot GroupCode SiteCode Site Latitude Longitude Cape Region State Year Month Day Date StartDate DaysSinceStart YearStart Exposure Zone Rep Treatment PisTreatment PlotTimeline PlotStatus MusselsAtStart Count_LiveMussels PropMussRemaining Change_Mussels MusselsAtEnd TotalMussKilled N_Observations StarSearch_Count StarSearch_Area_m2 LocalStarDens_m2 PISOCH_InCC PISOCH_Count_InPlot ")

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).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  GroupCode {
    String long_name "Groupcode";
    String units "unitless";
  }
  SiteCode {
    String long_name "Sitecode";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range 38.3182, 44.83864;
    String long_name "Latitude";
    String units "decimal degrees";
  }
  Longitude {
    Float32 actual_range -124.5651, -123.0736;
    String long_name "Longitude";
    String units "decimal degrees";
  }
  Cape {
    String long_name "Cape";
    String units "unitless";
  }
  Region {
    String long_name "Region";
    String units "unitless";
  }
  State {
    String long_name "State";
    String units "unitless";
  }
  Year {
    Int32 actual_range 1999, 2023;
    String long_name "Year";
    String units "unitless";
  }
  Month {
    Int32 actual_range 6, 12;
    String long_name "Month";
    String units "unitless";
  }
  Day {
    Int32 actual_range 1, 31;
    String long_name "Day";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  StartDate {
    String long_name "Startdate";
    String units "unitless";
  }
  DaysSinceStart {
    Int32 actual_range 0, 178;
    String long_name "Dayssincestart";
    String units "unitless";
  }
  YearStart {
    Int32 actual_range 1999, 2023;
    String long_name "Yearstart";
    String units "unitless";
  }
  Exposure {
    String long_name "Exposure";
    String units "unitless";
  }
  Zone {
    String long_name "Zone";
    String units "unitless";
  }
  Rep {
    String long_name "Rep";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  PisTreatment {
    String long_name "Pistreatment";
    String units "unitless";
  }
  PlotTimeline {
    String long_name "Plottimeline";
    String units "unitless";
  }
  PlotStatus {
    String long_name "Plotstatus";
    String units "unitless";
  }
  MusselsAtStart {
    Int32 actual_range 1, 65;
    String long_name "Musselsatstart";
    String units "unitless";
  }
  Count_LiveMussels {
    Int32 actual_range 0, 65;
    String long_name "Count_livemussels";
    String units "unitless";
  }
  PropMussRemaining {
    Float32 actual_range 0.0, 1.222222;
    String long_name "Propmussremaining";
    String units "unitless";
  }
  Change_Mussels {
    Int32 actual_range -52, 9;
    String long_name "Change_mussels";
    String units "count";
  }
  MusselsAtEnd {
    Int32 actual_range 0, 61;
    String long_name "Musselsatend";
    String units "count";
  }
  TotalMussKilled {
    Int32 actual_range -4, 56;
    String long_name "Totalmusskilled";
    String units "count";
  }
  N_Observations {
    Int32 actual_range 2, 12;
    String long_name "N_observations";
    String units "unitless";
  }
  StarSearch_Count {
    String long_name "Starsearch_count";
    String units "count";
  }
  StarSearch_Area_m2 {
    String long_name "Starsearch_area_m2";
    String units "meters squared (m2)";
  }
  LocalStarDens_m2 {
    String long_name "Localstardens_m2";
    String units "stars per square meter squared (#/m2)";
  }
  PISOCH_InCC {
    String long_name "Pisoch_incc";
    String units "unitless";
  }
  PISOCH_Count_InPlot {
    String long_name "Pisoch_count_inplot";
    String units "count";
  }
 }
  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.990987.1";
    String history 
"2026-05-25T00:07:55Z (local files)
2026-05-25T00:07:55Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990987_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/990987";
    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 
"This dataset contains time-series measurements of mussel (Mytilus californianus) survival and experimental predation rates by the sea star Pisaster ochraceus from rocky intertidal sites along the North American west coast from 1999 to 2023.

Study/Experiment abstract:

Mass mortality from disease epidemics can challenge the resistance and resilience of populations and communities. Assessing the impacts of such events and their consequences is crucially dependent on long-term datasets. In 2013-16, sea star wasting disease (SSWD) caused population-wide crashes of the archetypal keystone species, the sea star Pisaster ochraceus, along the North American west coast. We used a long-term dataset to assess how predation rates by Pisaster on Mytilus californianus varied over a 16-year time series (2007-2023) of annual predation rate at 7 sites. As expected, SSWD drove predation rates to near-zero. This persisted for 3-8 years depending on site, and as of 2024, predation rates at two sites remained unrecovered.";
    String title "[Predation Rate] - Predation rates by Pisaster ochraceus on Mytilus californianus along the Oregon and Northern California rocky intertidal coastline from 1999 to 2023 (RAPID: Testing the rocky intertidal community consequences of the decimation of purple sea star populations along the Oregon coast by sea star wasting disease)";
  }
}

 

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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.

 

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