BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Tissue Thickness - Jarvis Island Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_775832)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  core_ID {
    String bcodmo_name "core_id";
    String description "unique coral core identifier";
    String long_name "Core ID";
    String units "unitless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2010, 2015;
    String bcodmo_name "year";
    String description "year of coral core collection";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  tissue_thickness {
    Float32 _FillValue NaN;
    Float32 actual_range 3.3, 13.2;
    String bcodmo_name "unknown";
    String description "thickness of coral tissue layer";
    String long_name "Tissue Thickness";
    String units "millimeter (mm)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Skeletal cores were collected from Porites coral colonies in April 2010 (n =
4), May 2012 (n = 3), September 2012 (n = 6), November 2015 (n = 16), and May
2016 (n = 1). All cores were collected from colonies at 3-17 m depth using
pneumatic or hydraulic drills with diamond drill bits. Cores collected in 2010
and 2012 were sampled from healthy colonies and were between 50 and 200 cm in
length. In 2015, cores were collected from bleached Porites colonies, and were
limited to 5-10 cm length in accordance with United States Fish and Wildlife
Service permitting restrictions.
 
Core holes left in the coral colonies were filled with cement plugs, sealed
with underwater epoxy, and secured flush with the existing colony surface.
Visual inspections of coral colonies several years after coring demonstrated
full recovery and complete tissue overgrowth of the cement plug.
 
Coral skeletal cores, were collected during expeditions aboard:
 
  * NOAA ship Hi\\u2019ialakai (2\\u20134 April 2010, 3\\u20135 May 2012)
 
  * Pangaea Exploration S/V Sea Dragon (13\\u201316 September 2012)
 
  * R/V Machias (12\\u201315 November 2015)
 
Research activities and sample collection were conducted under U.S. Fish and
Wildlife Service Pacific Reefs National Wildlife Refuge Complex Research and
Monitoring Special Use Permits:
 
  * 12521-10001 (effective date: 15 Jan 2010; expiration date: 30 May 2010)
 
  * 12521-12001 (effective date: 7 Feb 2012; expiration date: 31 Dec 2012)
 
  * 12521-12005 (effective date: 29 Aug 2012; expiration date: 30 June 2014)
 
  * 12521-14001 (effective date: 1 Jan 2015; expiration date: 31 Dec 2015)
 
  * 12513-15001 (effective date: 11 Nov 2015; expiration date: 31 Dec 2015)
 
and in compliance with Presidential Proclamation 8336.";
    String awards_0_award_nid "768533";
    String awards_0_award_number "OCE-1737311";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1737311";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Daniel Thornhill";
    String awards_0_program_manager_nid "722161";
    String cdm_data_type "Other";
    String comment 
"Tissue thickness jarvis 
  PI: Anne Cohen   
  Data Version 1: 2019-09-30";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2019-08-22T18:47:53Z";
    String date_modified "2019-11-04T22:01:17Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.775832.1";
    String history 
"2021-09-23T02:54:00Z (local files)
2021-09-23T02:54:00Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_775832.das";
    String infoUrl "https://www.bco-dmo.org/dataset/775832";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "Nikon SMZ1500 stereomicroscope";
    String instruments_0_dataset_instrument_nid "778590";
    String instruments_0_description "Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\".";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB05/";
    String instruments_0_instrument_name "Microscope-Optical";
    String instruments_0_instrument_nid "708";
    String keywords "bco, bco-dmo, biological, chemical, core, core_ID, data, dataset, dmo, erddap, management, oceanography, office, preliminary, thickness, tissue, tissue_thickness, year";
    String license "https://www.bco-dmo.org/dataset/775832/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/775832";
    String param_mapping "{'775832': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/775832/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Anne L Cohen";
    String people_0_person_nid "51428";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Karen Soenen";
    String people_1_person_nid "748773";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Coral Bleaching Skeletal Records";
    String projects_0_acronym "Coral Bleaching Skeletal Records";
    String projects_0_description 
"NSF abstract:
Ocean warming kills corals and efforts are underway to identify and protect coral reefs that may withstand the projected 21st century rise in tropical ocean temperatures. Coral reefs in the central equatorial Pacific (CEP) have been exposed to episodes of extreme warmth every 3-7 years for centuries, if not millennia, yet remain highly productive ecosystems. Initial data obtained by the investigator from stress signatures archived in the skeletons of long lived coral species, suggests that CEP reefs lose their symbiotic algae or bleach, sometimes severely, during warm episodes. The observation that CEP reefs bleach repetitively yet remain productive implies uncommon resilience to ocean warming. The investigator will use laboratory experiments and field observations to validate skeletal records of historical bleaching. A successful outcome will provide novel and valuable insights into the resilience of the CEP reefs and a new tool with which to identify thermally tolerant coral reef ecosystems across the tropics. Additionally, this project includes mentorship of a postdoc and six undergraduate or high school students, outreach through presentations and media, and expansion of publically available software for coral stress band analysis.
Ocean warming projections indicate severe impacts to coral reefs will occur on an annual basis within the next few decades. Consequently, a coordinated effort is underway to identify reefs that might survive these changes. The investigator will test the hypothesis that such reefs exist at the epicenter of influence of the El Niño-Southern Oscillation (ENSO), where strong inter-annual temperature variability creates conditions conducive for the development of thermal resilience. The project uses laboratory-based bleaching experiments and actual stress signatures accreted by wild corals during the 2015 El Niño to validate signatures of historical bleaching archived in the skeletons of massive reef building corals. In addition the investigator will use new, long cores from the CEP to build a robust dataset of historical bleaching back to the 1800's. A successful outcome will increase confidence in the interpretation of skeletal stress bands as quantitative bleaching proxies and enable the reconstruction of the history of coral reef bleaching and recovery in the CEP.";
    String projects_0_end_date "2020-07";
    String projects_0_geolocation "Central Equatorial Pacific";
    String projects_0_name "Skeletal Records of Coral Reef Bleaching in the Central Equatorial Pacific";
    String projects_0_project_nid "768534";
    String projects_0_start_date "2017-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset contains tissue thickness measurements for Jarvis Island coral cores from 2010-2015. Coral tissue thickness, measured as the vertical distance between the top of the core to the most recently accreted dissepiment, was measured on a slice of skeleton cut from the top of each core using a Nikon SMZ1500 stereomicroscope and SPOT imaging software.";
    String title "Tissue Thickness - Jarvis Island";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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 (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.

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 2.02
Disclaimers | Privacy Policy | Contact