Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | Salinity during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_708368) |
| Range: | time = 2014-11-18T04:00Z to 2015-11-28T04:00Z |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Subset
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_708368.png?time,t1&time%3E=2015-11-22T00%3A00Z&time%3C=2015-11-29T00%3A00Z&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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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 time_precision "1970-01-01";
String units "unitless";
}
time_HST {
String bcodmo_name "time";
String description "Local time; Hawaii Standard Time (HST;UTC-10) in format HH:MM";
String long_name "Time HST";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.4162832e+9, 1.4486832e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "ISO timestamp based on the ISO 8601:2004(E) standard in format YYYY-mm-ddTHH:MMZ (UTC)";
String ioos_category "Time";
String long_name "ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "ISO_DateTime_UTC";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
t1 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t1\"";
String long_name "T1";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t2 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t2\"";
String long_name "T2";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t3 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t3\"";
String long_name "T3";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t4 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t4\"";
String long_name "T4";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t5 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t5\"";
String long_name "T5";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t6 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t6\"";
String long_name "T6";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t7 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t7\"";
String long_name "T7";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
t8 {
Float32 _FillValue NaN;
Float32 actual_range 33.0, 35.3;
String bcodmo_name "sal";
String description "Salinity in aquarium \"t8\"";
String long_name "T8";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"Salinity and temperature data were collected in each aquarium with a YSI 85
conductivity meter about twice weekly at 18:00 hr HST (UTC-10). Precision and
accuracy for temperature were estimated as +-0.1\\u00b0C, whereas precision for
salinity was +-0.1 PSU and accuracy was estimated as +-0.3 PSU 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
"salinity
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 "2017-07-11T20:09:18Z";
String date_modified "2019-04-26T21:45:35Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.708368.1";
String history
"2024-04-19T03:44:15Z (local files)
2024-04-19T03:44:15Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_708368.das";
String infoUrl "https://www.bco-dmo.org/dataset/708368";
String institution "BCO-DMO";
String instruments_0_acronym "Conductivity Meter";
String instruments_0_dataset_instrument_nid "708774";
String instruments_0_description "Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.";
String instruments_0_instrument_name "Conductivity Meter";
String instruments_0_instrument_nid "719";
String instruments_0_supplied_name "YSI 85 conductivity meter";
String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, date_HST, dmo, erddap, hst, iso, management, oceanography, office, preliminary, time, time_HST";
String license "https://www.bco-dmo.org/dataset/708368/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/708368";
String param_mapping "{'708368': {'ISO_DateTime_UTC': 'master - time'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/708368/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 subsetVariables "time_HST";
String summary "Salinity during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015";
String time_coverage_end "2015-11-28T04:00Z";
String time_coverage_start "2014-11-18T04:00Z";
String title "Salinity during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015";
String version "1";
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
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.
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.