ERDDAP > tabledap > Data Access Form

Dataset Title:	[Tidal fDOM and Heterotrophic bacteria counts] - fDOM and Heterotrophic bacteria counts in Oregon tide pools in July - August 2019 (CAREER: Predicting ecosystem metabolism of rocky intertidal communities in warming and acidifying oceans.)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_1009817_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2019-07-08T15:48:00Z	2019-08-06T19:13:00Z
pool_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"Ocean"
foundation_spp (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Mytilus"	"Phyllospadix"
LSID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"none"	"urn:lsid:marinespe..."
aphiaID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"138228"	"none"
day_night (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Day"	"Day"
before_after (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"After"	"Before"
removal_control (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Control"	"Removal"
time_point (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"end"	"start"
sampling_date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2019-07-08"	"2019-08-06"
sampling_time_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"07:36:00"	"14:58:00"
heterotrophic_bacterioplankton_micro_l (cells uL^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		180.76	1531.19
m_c (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.7406742	2.023649
bix (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.4714429	2.258173

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time pool_id foundation_spp LSID aphiaID day_night before_after removal_control time_point sampling_date sampling_time_local heterotrophic_bacterioplankton_micro_l m_c bix time pool_id foundation_spp LSID aphiaID day_night before_after removal_control time_point sampling_date sampling_time_local heterotrophic_bacterioplankton_micro_l m_c bix time pool_id foundation_spp LSID aphiaID day_night before_after removal_control time_point sampling_date sampling_time_local heterotrophic_bacterioplankton_micro_l m_c bix time pool_id foundation_spp LSID aphiaID day_night before_after removal_control time_point sampling_date sampling_time_local heterotrophic_bacterioplankton_micro_l m_c bix time pool_id foundation_spp LSID aphiaID day_night before_after removal_control time_point sampling_date sampling_time_local heterotrophic_bacterioplankton_micro_l m_c bix ")

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.56260088e+9, 1.56511878e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  pool_id {
    String long_name "Pool_id";
    String units "unitless";
  }
  foundation_spp {
    String long_name "Foundation_spp";
    String units "unitless";
  }
  LSID {
    String long_name "Lsid";
    String units "unitless";
  }
  aphiaID {
    String long_name "Aphiaid";
    String units "unitless";
  }
  day_night {
    String long_name "Day_night";
    String units "unitless";
  }
  before_after {
    String long_name "Before_after";
    String units "unitless";
  }
  removal_control {
    String long_name "Removal_control";
    String units "unitless";
  }
  time_point {
    String long_name "Time_point";
    String units "unitless";
  }
  sampling_date {
    String long_name "Sampling_date";
    String units "unitless";
  }
  sampling_time_local {
    String long_name "Sampling_time_local";
    String units "unitless";
  }
  heterotrophic_bacterioplankton_micro_l {
    Float32 actual_range 180.76, 1531.19;
    String long_name "Heterotrophic_bacterioplankton_micro_l";
    String units "cells uL^-1";
  }
  m_c {
    Float32 actual_range 0.7406742, 2.023649;
    String long_name "M_c";
    String units "unitless";
  }
  bix {
    Float32 actual_range 0.4714429, 2.258173;
    String long_name "Bix";
    String units "unitless";
  }
 }
  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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.1009817.1";
    String history 
"2026-10-15T08:27:23Z (local files)
2026-10-15T08:27:23Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1009817_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1009817";
    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 
"Benthic–pelagic coupling, the reciprocal exchange of materials between benthic and pelagic habitats, has traditionally emphasized pelagic influences on benthic systems. Yet, the role of benthic biological processes in shaping pelagic microbial dynamics
remains under explored. We investigated how surfgrass and mussels regulate nitrogen and dissolved organic matter (DOM)cycling and their cascading effects on heterotrophic bacteria in Oregon tide pools. We quantified biogeochemical fluxes and bacterial responses before and after foundation species removal during contrasting upwelling regimes. Mussel-dominated pools released high concentrations of ammonium and nitrate, while surfgrass pools transformed DOM that fueled bacterial growth; upwelling intensified these benthic–pelagic linkages. Removing foundation species dampened nutrient release in mussel pools and reduced DOM-fueled bacterial growth in surfgrass pools, ultimately decoupling benthic productivity from pelagic microbial
growth. Our results demonstrate the critical role of foundation species to pelagic microbial processes and underscore the vulnerability of coastal microbial dynamics to their global decline. Here we present the fDOM and heterotrophic bacteria data.";
    String time_coverage_end "2019-08-06T19:13:00Z";
    String time_coverage_start "2019-07-08T15:48:00Z";
    String title "[Tidal fDOM and Heterotrophic bacteria counts] - fDOM and Heterotrophic bacteria counts in Oregon tide pools in July - August 2019 (CAREER: Predicting ecosystem metabolism of rocky intertidal communities in warming and acidifying oceans.)";
  }
}

 

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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.

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For example,
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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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