ERDDAP > tabledap > Data Access Form

Dataset Title:	[Cerro Mundo Algal Biomass Data] - Macroalgal biomass data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sept 2021 and Mar 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_894169_v2)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Trial (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"april_2022"	"september_2022"
Cage (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	64
Treatment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"All Present"	"Urchins Only"
N (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"N+"	"No N"
Algae_Type (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"RF"	"Ulva + RF + cca"
Foil_cup_weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	135.415
Sample_and_foil_cup_weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	140.976
Dry_weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	28.715
Ceramic_cup_weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	399.557
Sample_and_ceramic_cup_weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	412.863
Postburn_weight (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	22.58
AFDW (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	16.267

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Trial Cage Treatment N Algae_Type Foil_cup_weight Sample_and_foil_cup_weight Dry_weight Ceramic_cup_weight Sample_and_ceramic_cup_weight Postburn_weight AFDW Trial Cage Treatment N Algae_Type Foil_cup_weight Sample_and_foil_cup_weight Dry_weight Ceramic_cup_weight Sample_and_ceramic_cup_weight Postburn_weight AFDW Trial Cage Treatment N Algae_Type Foil_cup_weight Sample_and_foil_cup_weight Dry_weight Ceramic_cup_weight Sample_and_ceramic_cup_weight Postburn_weight AFDW Trial Cage Treatment N Algae_Type Foil_cup_weight Sample_and_foil_cup_weight Dry_weight Ceramic_cup_weight Sample_and_ceramic_cup_weight Postburn_weight AFDW Trial Cage Treatment N Algae_Type Foil_cup_weight Sample_and_foil_cup_weight Dry_weight Ceramic_cup_weight Sample_and_ceramic_cup_weight Postburn_weight AFDW ")

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 {
  Trial {
    String long_name "Trial";
    String units "unitless";
  }
  Cage {
    Int32 actual_range 1, 64;
    String long_name "Cage";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  N {
    String long_name "N";
    String units "unitless";
  }
  Algae_Type {
    String long_name "Algae_type";
    String units "unitless";
  }
  Foil_cup_weight {
    Float32 actual_range 0.0, 135.415;
    String long_name "Foil_cup_weight";
    String units "grams (g)";
  }
  Sample_and_foil_cup_weight {
    Float32 actual_range 0.0, 140.976;
    String long_name "Sample_and_foil_cup_weight";
    String units "grams (g)";
  }
  Dry_weight {
    Float32 actual_range 0.0, 28.715;
    String long_name "Dry_weight";
    String units "grams (g)";
  }
  Ceramic_cup_weight {
    Float32 actual_range 0.0, 399.557;
    String long_name "Ceramic_cup_weight";
    String units "grams (g)";
  }
  Sample_and_ceramic_cup_weight {
    Float32 actual_range 0.0, 412.863;
    String long_name "Sample_and_ceramic_cup_weight";
    String units "grams (g)";
  }
  Postburn_weight {
    Float32 actual_range 0.0, 22.58;
    String long_name "Postburn_weight";
    String units "grams (g)";
  }
  AFDW {
    Float32 actual_range 0.0, 16.267;
    String long_name "Afdw";
    String units "grams (g)";
  }
 }
  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.894169.2";
    String history 
"2025-11-19T03:17:59Z (local files)
2025-11-19T03:17:59Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894169_v2.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/894169";
    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 
"Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems.

The purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Total algal cover is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef. 

Here, we present the raw macroalgal biomass data (dry weight in grams) collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.";
    String title "[Cerro Mundo Algal Biomass Data] - Macroalgal biomass data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sept 2021 and Mar 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems)";
  }
}

 

---

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