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Dataset Title:  [pH] - Water pH during coral calcification experiments conducted on Oahu,
Hawaii from November of 2014 to November of 2015 (Will corals recover from
bleaching under ocean acidification conditions?)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_708358)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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 {
  date_HST {
    String bcodmo_name "date";
    String description "Local date; Hawaii Standard Time (HST;UTC-10) in format yyyy-mm-dd";
    String long_name "Date HST";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date_HST";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  t1 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.929, 8.027;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t1\"";
    String long_name "T1";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t2 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.93, 8.024;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t2\"";
    String long_name "T2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t3 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.47, 8.012;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t3\"";
    String long_name "T3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t4 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.434, 8.012;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t4\"";
    String long_name "T4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t5 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.927, 8.046;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t5\"";
    String long_name "T5";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t6 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.351, 8.003;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t6\"";
    String long_name "T6";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t7 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.574, 8.022;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t7\"";
    String long_name "T7";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
  t8 {
    Float32 _FillValue NaN;
    Float32 actual_range 7.929, 8.047;
    String bcodmo_name "pH";
    String description "pH in aquarium \"t8\"";
    String long_name "T8";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH total hydrogen ion scale";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"About weekly, bottle samples were also collected for total alkalinity and pH.
Bottles were rinsed with sample repeatedly before sample collection.
Alkalinity samples were collected in borosilicate glass bottles without air
space, and were analyzed via a modified Gran titration using an 877 Titrino
plus, typically within 3 hr of collection, though they appeared to be stable
for at least 7 days. Titrations were verified using Certified Reference
Materials obtained from Andrew Dickson and precision and accuracy were
typically +-10 ueq/kg or better. pH samples were collected in 50 ml centrifuge
tubes without air space and analyzed spectrophotometrically with m-cresol
purple, following standard protocols, and typically within 1 hr of collection,
though they appeared to be stable for at least 24 hr. Precision of pH analyses
was typically +-0.002 units or better, while accuracy of this method is
estimated as +-0.02 units or better.
 
Tank treatments:
 
Below, \"High\" or \"Low\" pH refers to target pH levels. \"Fed\" or \"Unfed\" refers
to whether the tank was fed zooplankton not.
 
Tank t1: High pH, Unfed  
 Tank t2: High pH, Fed  
 Tank t3: Low pH, Unfed  
 Tank t4: Low pH, Fed  
 Tank t5: High pH, Fed  
 Tank t6: Low pH, Unfed  
 Tank t7: Low pH, Fed  
 Tank t8: High pH, Unfed
 
Location information:
 
\\u200bThe coral collection sites were the reef around HIMB and the reef
adjacent to Kaiona Beach Park in Waimanalo (about 1 mile north of the Makai
Pier). The lat/long for the approximate center of the sampling area at each
site are as follows, and the sampling at each site was located within about
+/- 200 m of that central point:
 
Kane'ohe Bay: 21.4336 N, -157.7861 W  
 Waimanalo Bay: 21.3272 N, -157.6811 W
 
The tank experiments were conducted at the Point Lab on Coconut Island, which
is ~18 km from the sampling area in Waimanalo Bay and adjacent to the sampling
area in Kane'ohe Bay. The high pH treatment was ambient Kane'ohe Bay seawater
chemistry (pH ~7.9-8.0) whereas the target for the low pH treatment was ~0.25
units below ambient.";
    String awards_0_award_nid "546318";
    String awards_0_award_number "OCE-1514859";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1514859";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "546323";
    String awards_1_award_number "OCE-1514861";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1514861";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"pH 
  PI: Toonen et al. 
    data version: 13 Jul 2017";
    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 "2017-07-11T20:08:57Z";
    String date_modified "2019-04-26T21:47:40Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.708358.1";
    String history 
"2024-11-14T03:40:29Z (local files)
2024-11-14T03:40:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_708358.das";
    String infoUrl "https://www.bco-dmo.org/dataset/708358";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, hst, management, oceanography, office, preliminary, time";
    String license "https://www.bco-dmo.org/dataset/708358/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/708358";
    String param_mapping "{'708358': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/708358/parameters";
    String people_0_affiliation "Hawaii Institute of Marine Biology";
    String people_0_person_name "Robert J. Toonen";
    String people_0_person_nid "546326";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Ohio State University";
    String people_1_person_name "Dr Andrea G. Grottoli";
    String people_1_person_nid "516098";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Hawaii Institute of Marine Biology";
    String people_2_person_name "Dr Christopher P. Jury";
    String people_2_person_nid "708284";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Hawaii Institute of Marine Biology";
    String people_3_person_name "Robert J. Toonen";
    String people_3_person_nid "546326";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Amber York";
    String people_4_person_nid "643627";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "RAPID Hawaii";
    String projects_0_acronym "RAPID Hawaii";
    String projects_0_description 
"Following the second hottest month on record since the 1940s, water temperatures on O'ahu reached 30 degrees C. The result of this ~2 degree C increase above summer mean temperatures has been a severe bleaching event across the entire length of the Hawaiian Archipelago, with as many as 75% of the dominant coral species in Kane'ohe Bay losing color or bleaching completely white. This event exceeds the magnitude of the only major bleaching event previously documented for Hawaii in 1996. Although tragic, this event provides a rare natural experiment to understand the impact of coral bleaching on the ability of Hawaiian corals to recovery from high temperature stress in the context of climate change and ocean acidification. The proposed will leverage previous work by the PIs to compare recovery following this event and the 1996 mass bleaching event to the recovery rates of Hawaiian corals under future climate change scenarios. Results from this work will provide data on coral resistance and recovery potential from bleaching events of the future.
Coral reefs are among the most diverse ecosystems on the planet, housing an estimated 25% of marine species. But, that diversity appears particularly susceptible to the effects of global change. Massive coral bleaching poses a substantial threat to the integrity of coral reef habitat in US waters, and is predicted to be the major source of mortality for reefs under future climate scenarios. Although previous work on the recovery of corals from bleaching sets the groundwork for this project, it remains to be seen how recovery from bleaching will be impacted by climate change and ocean acidification. To address this fundamental question, we take advantage of the natural difference in baseline temperature and pCO2 conditions between Kane'ohe Bay and Waimanalo Bay, HI, both of which are currently impacted by the massive bleaching event in the Hawaiian Archipelago. This natural experiment makes possible a rare opportunity to test three basic questions about the rates of recovery of bleached and unbleached corals under future climate change scenarios:
1) Will ocean acidification slow rates of recovery from bleaching?;
2) Does zooplankton feeding minimize the impact?; and
3) Do corals acclimated to warmer, more acidic baseline conditions (Kane'ohe Bay) recover more quickly under future conditions than corals from present day mean oceanic conditions (Waimanalo Bay)?
This research addresses broad scientific questions relating to the ability of corals to acclimate or adapt to both local environments and future climate conditions, and to help identify coral populations that may be resilient to the predicted impacts of climate change on the reefs of the future.";
    String projects_0_end_date "2015-12";
    String projects_0_geolocation "Oahu, HI; Hawaii Institute of Marine Biology";
    String projects_0_name "Will corals recover from bleaching under ocean acidification conditions?";
    String projects_0_project_nid "546319";
    String projects_0_start_date "2015-01";
    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 "Water pH during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015";
    String title "[pH] - Water pH during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015 (Will corals recover from bleaching under ocean acidification conditions?)";
    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.


 
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