ERDDAP > tabledap > Data Access Form

Dataset Title:	[Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora damicornis collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_942938_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
gene_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Pocillopora_acuta_..."	"Pocillopora_acuta_..."
RF13B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	40593
RF13D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	45797
RF14B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	48115
RF14C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	35461
RF15B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	44414
RF15D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	44207
RF16A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	100162
RF16C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	76994
RF17B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	36105
RF17D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	30289
RF18B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	29505
RF18D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	27026
RF19B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	37639
RF19C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	39125
RF20B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	26785
RF20C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	38874
RF22B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	66604
RF22C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	33514
RF23A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	36523
RF23C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	38875
RF24B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	32355
RF24D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	53252
RF25A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	60189
RF25C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	37914
RS11B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	45155
RS11D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	36079
RS12A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	81921
RS12C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	85499
RS13A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	35184
RS13C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	41237
RS14B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	80186
RS14C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	96863
RS15B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	62596
RS15D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	53677
RS1B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	52092
RS1C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	54866
RS2B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	49558
RS2C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	36852
RS3B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	48437
RS3D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	53851
RS6A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	33734
RS6D (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	62965
RS7B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	43786
RS7C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	83020
RS8B (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	48007
RS8C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	40995
RS9A (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	40481
RS9C (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	53216

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" gene_id RF13B RF13D RF14B RF14C RF15B RF15D RF16A RF16C RF17B RF17D RF18B RF18D RF19B RF19C RF20B RF20C RF22B RF22C RF23A RF23C RF24B RF24D RF25A RF25C RS11B RS11D RS12A RS12C RS13A RS13C RS14B RS14C RS15B RS15D RS1B RS1C RS2B RS2C RS3B RS3D RS6A RS6D RS7B RS7C RS8B RS8C RS9A RS9C gene_id RF13B RF13D RF14B RF14C RF15B RF15D RF16A RF16C RF17B RF17D RF18B RF18D RF19B RF19C RF20B RF20C RF22B RF22C RF23A RF23C RF24B RF24D RF25A RF25C RS11B RS11D RS12A RS12C RS13A RS13C RS14B RS14C RS15B RS15D RS1B RS1C RS2B RS2C RS3B RS3D RS6A RS6D RS7B RS7C RS8B RS8C RS9A RS9C gene_id RF13B RF13D RF14B RF14C RF15B RF15D RF16A RF16C RF17B RF17D RF18B RF18D RF19B RF19C RF20B RF20C RF22B RF22C RF23A RF23C RF24B RF24D RF25A RF25C RS11B RS11D RS12A RS12C RS13A RS13C RS14B RS14C RS15B RS15D RS1B RS1C RS2B RS2C RS3B RS3D RS6A RS6D RS7B RS7C RS8B RS8C RS9A RS9C gene_id RF13B RF13D RF14B RF14C RF15B RF15D RF16A RF16C RF17B RF17D RF18B RF18D RF19B RF19C RF20B RF20C RF22B RF22C RF23A RF23C RF24B RF24D RF25A RF25C RS11B RS11D RS12A RS12C RS13A RS13C RS14B RS14C RS15B RS15D RS1B RS1C RS2B RS2C RS3B RS3D RS6A RS6D RS7B RS7C RS8B RS8C RS9A RS9C gene_id RF13B RF13D RF14B RF14C RF15B RF15D RF16A RF16C RF17B RF17D RF18B RF18D RF19B RF19C RF20B RF20C RF22B RF22C RF23A RF23C RF24B RF24D RF25A RF25C RS11B RS11D RS12A RS12C RS13A RS13C RS14B RS14C RS15B RS15D RS1B RS1C RS2B RS2C RS3B RS3D RS6A RS6D RS7B RS7C RS8B RS8C RS9A RS9C ")

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 )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  gene_id {
    String long_name "Gene_id";
    String units "unitless";
  }
  RF13B {
    Int32 actual_range 0, 40593;
    String long_name "Rf13b";
    String units "unitless";
  }
  RF13D {
    Int32 actual_range 0, 45797;
    String long_name "Rf13d";
    String units "unitless";
  }
  RF14B {
    Int32 actual_range 0, 48115;
    String long_name "Rf14b";
    String units "unitless";
  }
  RF14C {
    Int32 actual_range 0, 35461;
    String long_name "Rf14c";
    String units "unitless";
  }
  RF15B {
    Int32 actual_range 0, 44414;
    String long_name "Rf15b";
    String units "unitless";
  }
  RF15D {
    Int32 actual_range 0, 44207;
    String long_name "Rf15d";
    String units "unitless";
  }
  RF16A {
    Int32 actual_range 0, 100162;
    String long_name "Rf16a";
    String units "unitless";
  }
  RF16C {
    Int32 actual_range 0, 76994;
    String long_name "Rf16c";
    String units "unitless";
  }
  RF17B {
    Int32 actual_range 0, 36105;
    String long_name "Rf17b";
    String units "unitless";
  }
  RF17D {
    Int32 actual_range 0, 30289;
    String long_name "Rf17d";
    String units "unitless";
  }
  RF18B {
    Int32 actual_range 0, 29505;
    String long_name "Rf18b";
    String units "unitless";
  }
  RF18D {
    Int32 actual_range 0, 27026;
    String long_name "Rf18d";
    String units "unitless";
  }
  RF19B {
    Int32 actual_range 0, 37639;
    String long_name "Rf19b";
    String units "unitless";
  }
  RF19C {
    Int32 actual_range 0, 39125;
    String long_name "Rf19c";
    String units "unitless";
  }
  RF20B {
    Int32 actual_range 0, 26785;
    String long_name "Rf20b";
    String units "unitless";
  }
  RF20C {
    Int32 actual_range 0, 38874;
    String long_name "Rf20c";
    String units "unitless";
  }
  RF22B {
    Int32 actual_range 0, 66604;
    String long_name "Rf22b";
    String units "unitless";
  }
  RF22C {
    Int32 actual_range 0, 33514;
    String long_name "Rf22c";
    String units "unitless";
  }
  RF23A {
    Int32 actual_range 0, 36523;
    String long_name "Rf23a";
    String units "unitless";
  }
  RF23C {
    Int32 actual_range 0, 38875;
    String long_name "Rf23c";
    String units "unitless";
  }
  RF24B {
    Int32 actual_range 0, 32355;
    String long_name "Rf24b";
    String units "unitless";
  }
  RF24D {
    Int32 actual_range 0, 53252;
    String long_name "Rf24d";
    String units "unitless";
  }
  RF25A {
    Int32 actual_range 0, 60189;
    String long_name "Rf25a";
    String units "unitless";
  }
  RF25C {
    Int32 actual_range 0, 37914;
    String long_name "Rf25c";
    String units "unitless";
  }
  RS11B {
    Int32 actual_range 0, 45155;
    String long_name "Rs11b";
    String units "unitless";
  }
  RS11D {
    Int32 actual_range 0, 36079;
    String long_name "Rs11d";
    String units "unitless";
  }
  RS12A {
    Int32 actual_range 0, 81921;
    String long_name "Rs12a";
    String units "unitless";
  }
  RS12C {
    Int32 actual_range 0, 85499;
    String long_name "Rs12c";
    String units "unitless";
  }
  RS13A {
    Int32 actual_range 0, 35184;
    String long_name "Rs13a";
    String units "unitless";
  }
  RS13C {
    Int32 actual_range 0, 41237;
    String long_name "Rs13c";
    String units "unitless";
  }
  RS14B {
    Int32 actual_range 0, 80186;
    String long_name "Rs14b";
    String units "unitless";
  }
  RS14C {
    Int32 actual_range 0, 96863;
    String long_name "Rs14c";
    String units "unitless";
  }
  RS15B {
    Int32 actual_range 0, 62596;
    String long_name "Rs15b";
    String units "unitless";
  }
  RS15D {
    Int32 actual_range 0, 53677;
    String long_name "Rs15d";
    String units "unitless";
  }
  RS1B {
    Int32 actual_range 0, 52092;
    String long_name "Rs1b";
    String units "unitless";
  }
  RS1C {
    Int32 actual_range 0, 54866;
    String long_name "Rs1c";
    String units "unitless";
  }
  RS2B {
    Int32 actual_range 0, 49558;
    String long_name "Rs2b";
    String units "unitless";
  }
  RS2C {
    Int32 actual_range 0, 36852;
    String long_name "Rs2c";
    String units "unitless";
  }
  RS3B {
    Int32 actual_range 0, 48437;
    String long_name "Rs3b";
    String units "unitless";
  }
  RS3D {
    Int32 actual_range 0, 53851;
    String long_name "Rs3d";
    String units "unitless";
  }
  RS6A {
    Int32 actual_range 0, 33734;
    String long_name "Rs6a";
    String units "unitless";
  }
  RS6D {
    Int32 actual_range 0, 62965;
    String long_name "Rs6d";
    String units "unitless";
  }
  RS7B {
    Int32 actual_range 0, 43786;
    String long_name "Rs7b";
    String units "unitless";
  }
  RS7C {
    Int32 actual_range 0, 83020;
    String long_name "Rs7c";
    String units "unitless";
  }
  RS8B {
    Int32 actual_range 0, 48007;
    String long_name "Rs8b";
    String units "unitless";
  }
  RS8C {
    Int32 actual_range 0, 40995;
    String long_name "Rs8c";
    String units "unitless";
  }
  RS9A {
    Int32 actual_range 0, 40481;
    String long_name "Rs9a";
    String units "unitless";
  }
  RS9C {
    Int32 actual_range 0, 53216;
    String long_name "Rs9c";
    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 doi "10.26008/1912/bco-dmo.942938.1";
    String history 
"2025-03-14T11:59:38Z (local files)
2025-03-14T11:59:38Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942938_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/942938";
    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 
"Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. 

We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399  µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, from mid-January to late-March 2021, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). This dataset includes the gene expression data for these samples.";
    String title "[Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora damicornis collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)";
  }
}

 

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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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