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Dataset Title:  Environmental, sensory data (temperature, light intensity, salinity, pH,
dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_781862)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Site (unitless) ?          "CB House Reef"    "WP67"
 latitude (degrees_north) ?          16.75145    16.80155
  < slider >
 longitude (degrees_east) ?          -88.0822    -88.07777
  < slider >
 time (ISO Date Time Local, UTC) ?          2019-08-19T19:00:00Z    2019-08-26T14:59:00Z
  < slider >
 ISO_DateTime_UTC (unitless) ?          "2019-08-19T23:00:00Z"    "2019-08-26T18:59:00Z"
 Temperature (degrees Celcius (°C)) ?          27.272    33.953
 Light_Intensity (lux (lx)) ?          0.0    253512.8
 Instrument (unitless) ?          "Onset Hobo Pendant"    "YSI ProDSS"
 depth (m) ?          0.5    1.5
  < slider >
 Salinity (parts per thousand) ?          36.18    36.6
 Dissolved_Oxygen (milligram per liter (mg/l)) ?          6.47    6.84
 pH (molar concentrations of H ions) ?          8.16    8.18
 
Server-side Functions ?
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? ("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 {
  Site {
    String bcodmo_name "site";
    String description "Site - local name";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 16.75145, 16.80155;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude - South is negative";
    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 -88.0822, -88.07777;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude - West is negative";
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5662412e+9, 1.56683154e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_Local";
    String description "Local Date/Time (GMT-04:00) in ISO format: YYYY-MM-DDTHH:MM:SS";
    String ioos_category "Time";
    String long_name "ISO Date Time Local";
    String source_name "ISO_DateTime_Local";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  ISO_DateTime_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "UTC Date/Time in ISO format: YYYY-MM-DDTHH:MM:SS";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String time_precision "1970-01-01T00:00:00Z";
    String units "unitless";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 27.272, 33.953;
    String bcodmo_name "temperature";
    String description "Water temperature";
    String long_name "Temperature";
    String units "degrees Celcius (°C)";
  }
  Light_Intensity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 253512.8;
    String bcodmo_name "unknown";
    String description "Light Intensity";
    String long_name "Light Intensity";
    String units "lux (lx)";
  }
  Instrument {
    String bcodmo_name "instrument";
    String description "Collection equipment";
    String long_name "Instrument";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.5, 1.5;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth below surface";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 36.18, 36.6;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Water salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "parts per thousand";
  }
  Dissolved_Oxygen {
    Float32 _FillValue NaN;
    Float32 actual_range 6.47, 6.84;
    String bcodmo_name "dissolved Oxygen";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "Dissolved oxygen concentration";
    String long_name "Volume Fraction Of Oxygen In Sea Water";
    String units "milligram per liter (mg/l)";
  }
  pH {
    Float32 _FillValue NaN;
    Float32 actual_range 8.16, 8.18;
    String bcodmo_name "pH";
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "Water pH";
    String long_name "Sea Water Ph Reported On Total Scale";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "molar concentrations of H ions";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Hobos were deployed at depth specified by attaching a logger with a cable tie
to the line of a subsurface buoy. Water quality measurements were collected
0.5 m below the surface using a YSI except for pH, which was collected in a
small bucket at 0.5m and measurements were immediately collected within the
bucket.";
    String awards_0_award_nid "778093";
    String awards_0_award_number "OCE-1929979";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1929979";
    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 
"Environmental data 
  PI: Nicole Fogarty  
  Data Version 1: 2019-11-18";
    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 "2019-11-18T08:50:39Z";
    String date_modified "2020-01-21T17:47:49Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.781862.1";
    Float64 Easternmost_Easting -88.07777;
    Float64 geospatial_lat_max 16.80155;
    Float64 geospatial_lat_min 16.75145;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -88.07777;
    Float64 geospatial_lon_min -88.0822;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1.5;
    Float64 geospatial_vertical_min 0.5;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-12-01T14:41:36Z (local files)
2020-12-01T14:41:36Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_781862.html";
    String infoUrl "https://www.bco-dmo.org/dataset/781862";
    String institution "BCO-DMO";
    String instruments_0_acronym "pH Sensor";
    String instruments_0_dataset_instrument_description "(Orion ROSS Ultra pH / ATC Triode double-junction combination electrode, 8157BNUMD, accuracy ±0.02 units)";
    String instruments_0_dataset_instrument_nid "781873";
    String instruments_0_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_0_instrument_name "pH Sensor";
    String instruments_0_instrument_nid "674";
    String instruments_0_supplied_name "Orion ROSS Ultra pH / ATC Triode double-junction combination electrode";
    String instruments_1_acronym "Dissolved Oxygen Sensor";
    String instruments_1_dataset_instrument_description "YSI ProDSS Handheld Optical Dissolved Oxygen Sensor (626900) 0 to 20 mg/L: ±0.1 mg/L or 1% of reading, whichever is greater";
    String instruments_1_dataset_instrument_nid "781871";
    String instruments_1_description "An electronic device that measures the proportion of oxygen (O2) in the gas or liquid being analyzed";
    String instruments_1_instrument_name "Dissolved Oxygen Sensor";
    String instruments_1_instrument_nid "705";
    String instruments_1_supplied_name "YSI ProDSS Handheld Optical Dissolved Oxygen Sensor";
    String instruments_2_acronym "Conductivity Meter";
    String instruments_2_dataset_instrument_description "YSI ProDSS Handheld Conductivity sensor (626903) ±1.0% of reading or ±0.1 ppt, whichever is greater";
    String instruments_2_dataset_instrument_nid "781872";
    String instruments_2_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_2_instrument_name "Conductivity Meter";
    String instruments_2_instrument_nid "719";
    String instruments_2_supplied_name "YSI ProDSS Conductivity sensor";
    String instruments_3_dataset_instrument_description "Onset Hobo Pendant data loggers UA-002-64; accuracy  ± 0.53°C from 0° to 50°C (± 0.95°F from 32° to 122°F)";
    String instruments_3_dataset_instrument_nid "781870";
    String instruments_3_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_3_instrument_name "Data Logger";
    String instruments_3_instrument_nid "731353";
    String instruments_3_supplied_name "Onset Hobo Pendant data logger";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, data, dataset, date, density, depth, Dissolved_Oxygen, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Salinity/Density > Salinity, erddap, fraction, instrument, intensity, iso, ISO_DateTime_UTC, latitude, light, Light_Intensity, local, longitude, management, O2, ocean, oceanography, oceans, office, oxygen, practical, preliminary, reported, salinity, scale, science, sea, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, seawater, site, temperature, time, total, volume, volume_fraction_of_oxygen_in_sea_water, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/781862/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/781862";
    Float64 Northernmost_Northing 16.80155;
    String param_mapping "{'781862': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude', 'ISO_DateTime_Local': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/781862/parameters";
    String people_0_affiliation "University of North Carolina - Wilmington";
    String people_0_affiliation_acronym "UNC-Wilmington";
    String people_0_person_name "Nicole Fogarty";
    String people_0_person_nid "663800";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Pennsylvania State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Iliana B. Baums";
    String people_1_person_nid "632664";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Karen Soenen";
    String people_2_person_nid "748773";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Coral Hybridization";
    String projects_0_acronym "Coral Hybridization";
    String projects_0_description 
"NSF Award Abstract:
Reef-building acroporid corals form the foundation of shallow tropical coral communities throughout the Caribbean. Yet, the once dominant staghorn coral (Acropora cervicornis) and the elkhorn coral (A. palmata) have decreased by more than 90% since the 1980s, primarily from disease. Their continuing decline jeopardizes the ability of coral reefs to provide numerous societal and ecological benefits, including economic revenue from seafood harvesting and tourism and shoreline protection from extreme wave events caused by storms and hurricanes. Despite their protection under the U.S. Endangered Species Act since 2006, threats to the survival of reef-building acroporid corals remain pervasive and include disease and warming ocean temperatures that may lead to further large-scale mortality. However, hybridization among these closely related species is increasing and may provide an avenue for adaptation to a changing environment. While hybrids were rare in the past, they are now thriving in shallow habitats with extreme temperatures and irradiance and are expanding into the parental species habitats. Additional evidence suggests that the hybrid is more disease resistant than at least one of the parental species. Hybridization may therefore have the potential to rescue the threatened parental species from extinction through the transfer of adapted genes via hybrids mating with both parental species, but extensive gene flow may alter the evolutionary trajectory of the parental species and drive one or both to extinction. This collaborative project is to collect genetic and ecological data in order to understand the mechanisms underlying increasing hybrid abundance. The knowledge gained from this research will help facilitate more strategic management of coral populations under current and emerging threats to their survival. This project includes integrated research and educational opportunities for high school, undergraduate and graduate students, and a postdoctoral researcher. Students in the United States Virgin Islands will take part in coral spawning research and resource managers will receive training on acroporid reproduction to apply to coral restoration techniques.
Current models predict the demise of reefs in the next 200 years due to increasing sea surface temperatures and ocean acidification. It is thus essential to identify habitats, taxa and evolutionary mechanisms that will allow some coral species to maintain their role as foundation fauna. Hybridization can provide an avenue for adaptation to changing conditions. Corals hybridize with some frequency and results may range from the introduction of a few alleles into existing parent species via introgression, to the birth of a new, perhaps better adapted genetic lineage. The only widely accepted coral hybrid system consists of the once dominant but now threatened Caribbean species, Acropora cervicornis and A. palmata. In the past, hybrid colonies originating from natural crosses between elkhorn and staghorn corals were rare, and evidence of hybrid reproduction was limited to infrequent matings with the staghorn coral. Recent field observations suggest that the hybrid is increasing and its ecological role is changing throughout the Caribbean. These hybrids appear to be less affected by the disease that led to the mass mortality of their parental species in recent decades. Hybrids are also found thriving in shallow habitats with high temperatures and irradiance suggesting they may be less susceptible to future warming scenarios. At the same time, they are expanding into the deeper parental species habitats. Preliminary genetic data indicate that hybrids are now mating with each other, demonstrating the potential for the formation of a new species. Further, hybrids appear to be capable of mating with both staghorn and elkhorn coral, perhaps leading to gene flow between the parent species via the hybrid. Research is proposed to address how the increase in hybridization and perhaps subsequent introgression will affect the current ecological role and the future evolutionary trajectory of Caribbean acroporids. Specifically, this collaborative project aims to answer the following questions: 1) What is the historic rate, direction, and degree of introgression across species ranges and genomes? Linkage block analysis based on genome-wide SNP genotyping across three replicate hybrid zones will answer this question. 2) What is the current extent and future potential of later generation hybrid formation? Morphometric and genetic analyses combined with in vitro fertilization assays will be used. 3) What mechanisms allow hybrids to thrive in hot, shallow waters? A series of manipulative in situ and ex situ experiments will determine whether biotic or abiotic factors favor hybrid survival in shallow waters. 4) Are hybrids more disease resistant than the parentals species? Disease transmission assays in reciprocal transplant experiments and histological analysis to determine the extent of disease will be conducted. A multidisciplinary approach will be taken that combines traditional and cutting edge technology to provide a detailed analysis of the evolutionary ecology of Caribbean corals.
Note: PI Nicole Fogarty's original award OCE-1538469 was issued while at Nova Southeastern University. This was replaced by OCE-1929979 upon moving to the University of North Carolina Wilmington.";
    String projects_0_end_date "2020-09";
    String projects_0_geolocation "Caribbean and North-West Atlantic";
    String projects_0_name "Collaborative research: Is hybridization among threatened Caribbean coral species the key to their survival or the harbinger of their extinction?";
    String projects_0_project_nid "663794";
    String projects_0_start_date "2015-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 16.75145;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Environmental, sensory data  (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize";
    String time_coverage_end "2019-08-26T14:59:00Z";
    String time_coverage_start "2019-08-19T19:00:00Z";
    String title "Environmental, sensory data  (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize";
    String version "1";
    Float64 Westernmost_Easting -88.0822;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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
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For example,
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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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