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Dataset Title:  Temperature - Jarvis Island Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_775839)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Variable ?   Optional
Constraint #1 ?
Constraint #2 ?
   Minimum ?
   Maximum ?
 datetime_UTC (unitless) ?          "11/12/15 21:41"    "5/23/16 9:59"
 latitude (degrees_north) ?          -0.372    -0.369
  < slider >
 longitude (degrees_east) ?          -160.008    -159.98
  < slider >
 location_label (unitless) ?          "East side of Jarvis"    "West side of Jarvis"
 temperature (degrees Celcius (°C)) ?          21.9213    31.1448
 time (ISO Date Time UTC, UTC) ?          2015-11-12T21:41:00Z    2016-05-23T19:24:00Z
  < slider >
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.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  datetime_UTC {
    String bcodmo_name "DateTime";
    String description "Date and time in UTC (mm/dd/yyyy hh:mm)";
    String long_name "Datetime UTC";
    String units "unitless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -0.372, -0.369;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of sampling location; north = 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 -160.008, -159.98;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of sampling location; east = 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";
  location_label {
    String bcodmo_name "region";
    String description "Location (East side or West side of Jarvis)";
    String long_name "Location Label";
    String units "unitless";
  temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 21.9213, 31.1448;
    String bcodmo_name "temperature";
    String description "Temperature";
    String long_name "Temperature";
    String units "degrees Celcius (°C)";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.44736446e+9, 1.46403144e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date/Time (UTC) ISO formatted [YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC time)] - temporal precision: Hours:Minutes";
    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 "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Short-term oceanographic instrument deployments were conducted at the same
sites on 12-15 November 2015 and 16-23 May 2016. Instrument package
deployments included a SAMI-pH sensor (Sunburst Sensors, 15 min sampling
interval), SBE-37 Microcat (Sea-Bird Electronics, 20 sec sampling interval),
and dissolved oxygen sensor (RBR, 1 min sampling interval) which were affixed
to the reef at 7 m (east) and 10 m (west) depth.
Samples were collected during expeditions aboard:
  * R/V Machias (12\\u201315 November 2015)
  * NOAA ship Oscar Elton Sette (17\\u201323 May 2016)
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 
  PI: Anne Cohen  
  Data Version 1: 2019-10-01";
    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 "2019-08-22T18:53:11Z";
    String date_modified "2019-11-04T22:48:39Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.775839.1";
    Float64 Easternmost_Easting -159.98;
    Float64 geospatial_lat_max -0.369;
    Float64 geospatial_lat_min -0.372;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -159.98;
    Float64 geospatial_lon_min -160.008;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-12T13:00:01Z (local files)
2022-08-12T13:00:01Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_775839.html";
    String infoUrl "https://www.bco-dmo.org/dataset/775839";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD MicroCAT 37";
    String instruments_0_dataset_instrument_description "SBE-37 Microcat (Sea-Bird Electronics, 20 sec sampling interval)";
    String instruments_0_dataset_instrument_nid "778380";
    String instruments_0_description 
"The Sea-Bird MicroCAT CTD unit is a high-accuracy conductivity and temperature recorder based on the Sea-Bird SBE 37 MicroCAT series of products.  It can be configured with optional pressure sensor, internal batteries, memory, built-in Inductive Modem, integral Pump, and/or SBE-43 Integrated Dissolved Oxygen sensor. Constructed of titanium and other non-corroding materials for long life with minimal maintenance, the MicroCAT is designed for long duration on moorings.  

In a typical mooring, a modem module housed in the buoy communicates with underwater instruments and is interfaced to a computer or data logger via serial port. The computer or data logger is programmed to poll each instrument on the mooring for its data, and send the data to a telemetry transmitter (satellite link, cell phone, RF modem, etc.). The MicroCAT saves data in memory for upload after recovery, providing a data backup if real-time telemetry is interrupted.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_0_instrument_name "CTD Sea-Bird MicroCAT 37";
    String instruments_0_instrument_nid "478";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, datetime, datetime_UTC, dmo, erddap, iso, label, latitude, location_label, longitude, management, oceanography, office, preliminary, temperature, time";
    String license "https://www.bco-dmo.org/dataset/775839/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/775839";
    Float64 Northernmost_Northing -0.369;
    String param_mapping "{'775839': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/775839/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)";
    Float64 Southernmost_Northing -0.372;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset contains in situ temperature measurements collected at the height of El Ni\\u00f1o on 12-15 November 2015 and after severe El Ni\\u00f1o conditions had subsided on 16-24 May 2016 for the west and east sides of Jarvis Island at 7-10 m depth.";
    String time_coverage_end "2016-05-23T19:24:00Z";
    String time_coverage_start "2015-11-12T21:41:00Z";
    String title "Temperature - Jarvis Island";
    String version "1";
    Float64 Westernmost_Easting -160.008;
    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
For example,
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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