ERDDAP > tabledap > Data Access Form

Dataset Title:	[Physiological measurements from sea anemones exposed to normoxic or hypoxic conditions] - Physiological measurements from sea anemones exposed to normoxic or hypoxic conditions from lab experiments performed in Philadelphia, PA, USA in 2024 (CAREER: Helping or hindering? Determining the influence of repetitive marine heatwaves on acclimatization of reef-building corals across biological scales)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_964167_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Sample_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A1"	"F3"
Sample_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A1"	"F3"
Treatment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Hypoxia"	"Normoxia"
Group (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A"	"F"
Sex (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Female"	"Male"
Average_dry_weight (grams)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00596	0.00846
Average_respiration (umol O2 consumed per minute per g of dry weight)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.6527	3.191
Average_eggs_dry_weight (egg release per mg of adult animal dry weight)	!= =~ <= >= = < >		!= =~ <= >= = < >		11.1256	30.4863
Average_egg_volume (um3)	!= =~ <= >= = < >		!= =~ <= >= = < >		4.9865	7.3084
Development_success_percent (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	48
Average_relative_fitness (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.439
Average_sperm_M_dry_weight (million (M) of sperm cells released per mg of adult animal dry weight)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.1812	7.4015
Average_sperm_M_respiration (nmol O2 consumed per minute per million (M) sperm cells)	!= =~ <= >= = < >		!= =~ <= >= = < >		16.0	28.0
Average_sperm_red_green_ratio (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.211746	1.594077
Spawned_percent (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		71	100

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Sample_name Sample_ID Treatment Group Sex Average_dry_weight Average_respiration Average_eggs_dry_weight Average_egg_volume Development_success_percent Average_relative_fitness Average_sperm_M_dry_weight Average_sperm_M_respiration Average_sperm_red_green_ratio Spawned_percent Sample_name Sample_ID Treatment Group Sex Average_dry_weight Average_respiration Average_eggs_dry_weight Average_egg_volume Development_success_percent Average_relative_fitness Average_sperm_M_dry_weight Average_sperm_M_respiration Average_sperm_red_green_ratio Spawned_percent Sample_name Sample_ID Treatment Group Sex Average_dry_weight Average_respiration Average_eggs_dry_weight Average_egg_volume Development_success_percent Average_relative_fitness Average_sperm_M_dry_weight Average_sperm_M_respiration Average_sperm_red_green_ratio Spawned_percent Sample_name Sample_ID Treatment Group Sex Average_dry_weight Average_respiration Average_eggs_dry_weight Average_egg_volume Development_success_percent Average_relative_fitness Average_sperm_M_dry_weight Average_sperm_M_respiration Average_sperm_red_green_ratio Spawned_percent Sample_name Sample_ID Treatment Group Sex Average_dry_weight Average_respiration Average_eggs_dry_weight Average_egg_volume Development_success_percent Average_relative_fitness Average_sperm_M_dry_weight Average_sperm_M_respiration Average_sperm_red_green_ratio Spawned_percent ")

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 {
  Sample_name {
    String long_name "Sample_name";
    String units "unitless";
  }
  Sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Group {
    String long_name "Group";
    String units "unitless";
  }
  Sex {
    String long_name "Sex";
    String units "unitless";
  }
  Average_dry_weight {
    Float32 actual_range 0.00596, 0.00846;
    String long_name "Average_dry_weight";
    String units "grams";
  }
  Average_respiration {
    Float32 actual_range 0.6527, 3.191;
    String long_name "Average_respiration";
    String units "umol O2 consumed per minute per g of dry weight";
  }
  Average_eggs_dry_weight {
    Float32 actual_range 11.1256, 30.4863;
    String long_name "Average_eggs_dry_weight";
    String units "egg release per mg of adult animal dry weight";
  }
  Average_egg_volume {
    Float32 actual_range 4.9865, 7.3084;
    String long_name "Average_egg_volume";
    String units "um3";
  }
  Development_success_percent {
    Int32 actual_range 0, 48;
    String long_name "Development_success_percent";
    String units "percent";
  }
  Average_relative_fitness {
    Float32 actual_range 0.0, 1.439;
    String long_name "Average_relative_fitness";
    String units "unitless";
  }
  Average_sperm_M_dry_weight {
    Float32 actual_range 5.1812, 7.4015;
    String long_name "Average_sperm_m_dry_weight";
    String units "million (M) of sperm cells released per mg of adult animal dry weight";
  }
  Average_sperm_M_respiration {
    Float32 actual_range 16.0, 28.0;
    String long_name "Average_sperm_m_respiration";
    String units "nmol O2 consumed per minute per million (M) sperm cells";
  }
  Average_sperm_red_green_ratio {
    Float32 actual_range 1.211746, 1.594077;
    String long_name "Average_sperm_red_green_ratio";
    String units "unitless";
  }
  Spawned_percent {
    Int32 actual_range 71, 100;
    String long_name "Spawned_percent";
    String units "percent";
  }
 }
  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.964167.1";
    String history 
"2025-08-14T03:19:52Z (local files)
2025-08-14T03:19:52Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964167_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/964167";
    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 data from physiological measurements of a lab population of Nematostella vectensis sea anemones exposed to normoxic (i.e., control) or hypoxic conditions. Metrics measured pertain to adult metabolic performance (e.g., dry weights, aerboic respiraton rates) and reproductive physiology (e.g., fecundity, egg sizes, sperm mitochondrial membrane potential). Measurements were also made in larvae produced from experimental adults, including larval respiration and development rates.";
    String title "[Physiological measurements from sea anemones exposed to normoxic or hypoxic conditions] - Physiological measurements from sea anemones exposed to normoxic or hypoxic conditions from lab experiments performed in Philadelphia, PA, USA in 2024 (CAREER: Helping or hindering? Determining the influence of repetitive marine heatwaves on acclimatization of reef-building corals across biological scales)";
  }
}

 

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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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