Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [MBRS in situ temperature] - In situ temperature and light time-series from HOBO data loggers, Belize Mesoamerican Barrier Reef System (MBRS), Nov. 2014 - Oct. 2015 (Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_734442) |
| Information: | Summary
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| ISO 19115
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Attributes {
s {
site {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 3, 11;
String bcodmo_name "site";
String description "site identifier";
String long_name "Site";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 16.15729, 17.54239;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude; north is positive";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range 88.01295, 88.62943;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude; east is positive";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
type {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 3;
String bcodmo_name "site_descrip";
String description "thermal regime code: 1=lowTP; 2=modTP; 3=highTP. These 3 categories are based on low; moderate; and high temperature parameters (see Baumann et al 2016 for details)";
String long_name "Type";
String units "unitless";
}
description {
String bcodmo_name "site_descrip";
String description "site description: nearby city name and low; moderate; or high temperature parameter";
String long_name "Description";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.41615618e+9, 1.4462928e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "UTC date and time based on ISO format: yyyy-mm-ddThh:mm:ssZ";
String ioos_category "Time";
String long_name "ISO Date Time Local";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "ISO_DateTime_Local";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00:00.00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
date {
String bcodmo_name "date";
String description "date; formatted as yyyy-mm-dd";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String time_precision "1970-01-01";
String units "unitless";
}
month {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 12;
String bcodmo_name "month";
String description "month";
String long_name "Month";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
String units "unitless";
}
day {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 31;
String bcodmo_name "day";
String description "day";
String long_name "Day";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
String units "unitless";
}
year {
Int16 _FillValue 32767;
Int16 actual_range 2014, 2015;
String bcodmo_name "year";
String description "year";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
String units "unitless";
}
time2 {
String bcodmo_name "time";
String description "time";
String long_name "Time";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
hobo_logger_temp {
Float32 _FillValue NaN;
Float32 actual_range 24.12, 33.18;
String bcodmo_name "temperature";
String description "temperature collected by Onset HOBO data logger";
String long_name "Hobo Logger Temp";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
hobo_pendant_temp {
Float32 _FillValue NaN;
Float32 actual_range 24.26, 33.33;
String bcodmo_name "temperature";
String description "temperature collected by Onset HOBO pendant data logger";
String long_name "Hobo Pendant Temp";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
light {
Int16 _FillValue 32767;
Int16 actual_range 0, 14336;
String bcodmo_name "irradiance";
String description "Irradiance from Onset HOBO Pendant data logger";
String long_name "Light";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/VSRW/";
String units "lumens/ft2";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Data from in situ\\u00a0loggers were collected from 7 sites along
the\\u00a0Belize Mesoamerican Barrier Reef System.
Raw data are submitted here.\\u00a0All processing and analysis was conducted in
R.";
String awards_0_award_nid "635862";
String awards_0_award_number "OCE-1459522";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459522";
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 "Michael E. Sieracki";
String awards_0_program_manager_nid "50446";
String cdm_data_type "Other";
String comment
"in situ temperature and light time-series
from HOBO data loggers, Nov. 2014 - Oct. 2015
PI's: K. Castillo, J. Baumann
version: 2018-05-02
replace version: 2018-04-16 [changed ISO_DatTime_UTC to ISO_DateTime_Local]
Published in Baumann et al, PLoS ONE (2016) 11(9) DOI: 10.1371/journal.pone.0162098
NOTE: Large dataset, slow to load";
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 "2018-04-25T19:51:53Z";
String date_modified "2019-12-11T18:44:35Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.734442.2";
Float64 Easternmost_Easting 88.62943;
Float64 geospatial_lat_max 17.54239;
Float64 geospatial_lat_min 16.15729;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 88.62943;
Float64 geospatial_lon_min 88.01295;
String geospatial_lon_units "degrees_east";
String history
"2024-11-21T11:51:45Z (local files)
2024-11-21T11:51:45Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_734442.html";
String infoUrl "https://www.bco-dmo.org/dataset/734442";
String institution "BCO-DMO";
String instruments_0_dataset_instrument_description "Used to collect temperature and light data.";
String instruments_0_dataset_instrument_nid "734451";
String instruments_0_description "Electronic devices that record data over time or in relation to location either with a built-in instrument or sensor or via external instruments and sensors.";
String instruments_0_instrument_name "Data Logger";
String instruments_0_instrument_nid "731353";
String instruments_0_supplied_name "Onset HOBO U22 and V2 data loggers";
String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, day, description, dmo, erddap, hobo, hobo_logger_temp, hobo_pendant_temp, iso, latitude, light, local, logger, longitude, management, month, oceanography, office, pendant, preliminary, site, temperature, time, time2, type, year";
String license "https://www.bco-dmo.org/dataset/734442/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/734442";
Float64 Northernmost_Northing 17.54239;
String param_mapping "{'734442': {'lat': 'master - latitude', 'lon': 'master - longitude', 'ISO_DateTime_Local': 'master - time'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/734442/parameters";
String people_0_affiliation "University of North Carolina at Chapel Hill";
String people_0_affiliation_acronym "UNC-Chapel Hill";
String people_0_person_name "Karl D. Castillo";
String people_0_person_nid "51711";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of North Carolina at Chapel Hill";
String people_1_affiliation_acronym "UNC-Chapel Hill";
String people_1_person_name "Justin Baumann";
String people_1_person_nid "733684";
String people_1_role "Student";
String people_1_role_type "related";
String people_2_affiliation "University of North Carolina at Chapel Hill";
String people_2_affiliation_acronym "UNC-Chapel Hill";
String people_2_person_name "Justin Baumann";
String people_2_person_nid "733684";
String people_2_role "Contact";
String people_2_role_type "related";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Nancy Copley";
String people_3_person_nid "50396";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "Thermal History and Coral Growth";
String projects_0_acronym "Thermal History and Coral Growth";
String projects_0_description
"Description from NSF award abstract:
Rising global ocean surface temperatures have reduced coral growth rates, thereby negatively impacting the health of coral reef ecosystems worldwide. Recent studies on tropical reef building corals reveal that corals' growth in response to ocean warming may be influenced by their previous seawater temperature exposure - their thermal history. Although these recent findings highlight significant variability in coral growth in response to climate change, uncertainty remains as to the spatial scale at which corals' thermal history influences how they have responded to ocean warming and how they will likely respond to predicted future increases in ocean temperature. This study investigates the influence of thermal history on coral growth in response to recent and predicted seawater temperatures increases across four ecologically relevant spatial scales ranging from reef ecosystems, to reef communities, to reef populations, to an individual coral colony. By understanding how corals have responded in the past across a range of ecological scales, the Principal Investigator will be able to improve the ability to predict their susceptibility and resilience, which could then be applied to coral reef conservation in the face of climate change. This research project will broaden the participation of undergraduates from underrepresented groups and educate public radio listeners using minority voices and narratives. The scientist will leverage current and new partnerships to recruit and train minority undergraduates, thus allowing them to engage high school students near field sites in Florida, Belize, and Panama. Through peer advising, undergraduates will document this research on a digital news site for dissemination to the public. The voice of the undergraduates and scientist will ground the production of a public radio feature exploring the topic of acclimatization and resilience - a capacity for stress tolerance within coral reef ecosystems. This project will provide a postdoctoral researcher and several graduate students with opportunities for field and laboratory research training, teaching and mentoring, and professional development. The results will allow policy makers from Florida, the Mesoamerican Barrier Reef System countries, and several Central American countries to benefit from Caribbean-scale inferences that incorporate corals' physiological abilities, thereby improving coral reef management for the region.
Coral reefs are at significant risk due to a variety of local and global scale anthropogenic stressors. Although various stressors contribute to the observed decline in coral reef health, recent studies highlight rising seawater temperatures due to increasing atmospheric carbon dioxide concentration as one of the most significant stressors influencing coral growth rates. However, there is increasing recognition of problems of scale since a coral's growth response to an environmental stressor may be conditional on the scale of description. This research will investigate the following research questions: (1) How has seawater temperature on reef ecosystems (Florida Keys Reef Tract, USA; Belize Barrier Reef System, Belize; and Bocas Del Toro Reef Complex, Panama), reef communities (inshore and offshore reefs), reef populations (individual reefs), and near reef colonies (individual colonies), varied in the past? (2) How has seawater temperature influenced rates of coral growth and how does the seawater temperature-coral growth relationship vary across these four ecological spatial scales? (3) Does the seawater temperature-coral growth relationship forecast rates of coral growth under predicted end-of-century ocean warming at the four ecological spatial scales? Long term sea surface temperature records and small-scale high-resolution in situ seawater temperature measurements will be compared with growth chronologies for the reef building corals Siderastrea siderea and Orbicella faveolata, two keystone species ubiquitously distributed throughout the Caribbean Sea. Nutrients and irradiance will be quantified via satellite-derived observations, in situ measurements, and established colorimetric protocols. Field and laboratory experiments will be combined to examine seawater temperature-coral growth relationships under recent and predicted end-of-century ocean warming at four ecologically relevant spatial scales. The findings of this study will help us bridge the temperature-coral growth response gap across ecologically relevant spatial scales and thus improve our understanding of how corals have responded to recent warming. This will lead to more meaningful predictions about future coral growth response to climate change.";
String projects_0_end_date "2018-02";
String projects_0_geolocation "Western Caribbean";
String projects_0_name "Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales";
String projects_0_project_nid "635863";
String projects_0_project_website "http://www.unc.edu/~kdcastil/research.html";
String projects_0_start_date "2015-03";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 16.15729;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "This dataset contains temperature and light data obtained from in situ HOBO V2 data loggers situated at each study site. These data were used in a coral study in Baumann et al. (2016) DOI: 10.1371/journal.pone.0162098.";
String time_coverage_end "2015-10-31T12:00:00.00Z";
String time_coverage_start "2014-11-16T16:43:00.00Z";
String title "[MBRS in situ temperature] - In situ temperature and light time-series from HOBO data loggers, Belize Mesoamerican Barrier Reef System (MBRS), Nov. 2014 - Oct. 2015 (Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales)";
String version "2";
Float64 Westernmost_Easting 88.01295;
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.