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Dataset Title:  [Phytoplankton abundance from net tows and environmental data] - Phytoplankton
abudance and physical environmental data from off the coast of Juneau, Alaska
from 2015-2016 (SEAK-AHAB project) (Enhancing Sustainability of Shellfish
Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their
Sociocultural Impacts)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_660429)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 year (unitless) ?          2015    2016
 investigator (unitless) ?      
   - +  ?
 instrument (unitless) ?      
   - +  ?
 station (unitless) ?          "Amalga"    "Eagle_Beach"
 latitude (degrees_north) ?          58.3733    58.538
  < slider >
 longitude (degrees_east) ?          -134.8454    -134.6499
  < slider >
 site_type (unitless) ?          "Beach"    "Dock"
 sampling_event (unitless) ?          "AB_15036"    "EB_16314"
 date (unitless) ?          20150114    20161215
 time_zone (unitless) ?      
   - +  ?
 time_local (unitless) ?          "10:00"    "NaN"
 air_temp (celsius) ?          -9.4    23.0
 surface_salinity (parts per thousand (PPT)) ?          5    32
 surface_temp (celsius) ?          2.2    20.0
 weather (unitless) ?          "Cloudy_Overcast"    "W"
 tide (unitless) ?          "High"    "Outgoing"
 depth (m) ?      
   - +  ?
  < slider >
 dinoflagellates (count) ?          0    908
 diatoms (count) ?          0    3288
 Alexandrium_sp (count) ?          0    895
 ISO_DateTime_Local (unitless) ?          "2015-01-14T10:40:00"    "NaN"
 
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 information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2015, 2016;
    String bcodmo_name "year";
    String description "Four digit year sample was taken; YYYY";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  investigator {
    String bcodmo_name "investigator";
    String description "Investigator responsible for collecting sample";
    String long_name "Investigator";
    String units "unitless";
  }
  instrument {
    String bcodmo_name "instrument";
    String description "Instrument used to collect sample";
    String long_name "Instrument";
    String units "unitless";
  }
  station {
    String bcodmo_name "station";
    String description "Station where sample was taken";
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 58.3733, 58.538;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    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 -134.8454, -134.6499;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    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";
  }
  site_type {
    String bcodmo_name "site_descrip";
    String description "Type of site where sampling occurred; Dock or Beach";
    String long_name "Site Type";
    String units "unitless";
  }
  sampling_event {
    String bcodmo_name "event code";
    String description "Sampling event ID";
    String long_name "Sampling Event";
    String units "unitless";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20150114, 20161215;
    String bcodmo_name "date";
    String description "Date sample was taken; YYYYmmdd";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  time_zone {
    String bcodmo_name "timezone";
    String description "Time zone where sample was taken";
    String long_name "Time Zone";
    String units "unitless";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "Local time when sampling occurred; HH:MM";
    String long_name "Time Local";
    String units "unitless";
  }
  air_temp {
    Float32 _FillValue NaN;
    Float32 actual_range -9.4, 23.0;
    String bcodmo_name "temp_air";
    String description "Air temperature";
    String long_name "Air Temp";
    String units "celsius";
  }
  surface_salinity {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 5, 32;
    String bcodmo_name "sal_ss";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Surfance salinity";
    String long_name "Sea Water Practical Salinity";
    String units "parts per thousand (PPT)";
  }
  surface_temp {
    Float32 _FillValue NaN;
    Float32 actual_range 2.2, 20.0;
    String bcodmo_name "temp_ss";
    String description "Sea surface temperature";
    String long_name "Surface Temp";
    String units "celsius";
  }
  weather {
    String bcodmo_name "weather";
    String description "Observed weather conditions";
    String long_name "Weather";
    String units "unitless";
  }
  tide {
    String bcodmo_name "tide";
    String description "Observed tide conditions";
    String long_name "Tide";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.5, 0.5;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of sample";
    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";
  }
  dinoflagellates {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 908;
    String bcodmo_name "abundance";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Qualitative cell counts of relative abundance";
    String long_name "Dinoflagellates";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "count";
  }
  diatoms {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 3288;
    String bcodmo_name "abundance";
    String description "Qualitative cell counts of relative abundance";
    String long_name "Diatoms";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "count";
  }
  Alexandrium_sp {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 895;
    String bcodmo_name "abundance";
    String description "Qualitative cell counts of relative abundance";
    String long_name "Alexandrium Sp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "count";
  }
  ISO_DateTime_Local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "DateTime local; YYYY-mm-dd HH:MM";
    String long_name "ISO Date Time Local";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Phytoplankton Data:
 
Dock and beach-based phytoplankton net tow (Sea Gear, 8\\u201d diameter, 20um
mesh) samples were collected at approximately weekly intervals at four
phytoplankton sampling stations; Auke Bay, Amalga, Eagle Beach and Auke Rec in
Juneau, AK. Surface net tow durations were 3 minutes. \\u00a0
 
Environmental Data:
 
Air temperature was recorded using the GPS mode on the NOAA weather android
application.\\u00a0Surface seawater salinity was determined using a
refractometer for salinity. Surface seawater temperature was recorded using a
waterproof digital thermometer.\\u00a0Tide observations were verified using the
GPS mode on the Tides Near Me android application.\\u00a0";
    String awards_0_award_nid "565808";
    String awards_0_award_number "ICER-1415195";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1415195";
    String awards_0_funder_name "NSF Divsion of Integrative and Collaborative Education and Research";
    String awards_0_funding_acronym "NSF ICER";
    String awards_0_funding_source_nid "565809";
    String awards_0_program_manager "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Phytoplankton net tow data 
  E. Tobin, PI 
  Version History: 
  25 July 2017 - Update data for 2016 
  30 September 2016 - Data for 2015";
    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 "2016-09-30T20:56:00Z";
    String date_modified "2019-06-11T16:36:30Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.660429.1";
    Float64 Easternmost_Easting -134.6499;
    Float64 geospatial_lat_max 58.538;
    Float64 geospatial_lat_min 58.3733;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -134.6499;
    Float64 geospatial_lon_min -134.8454;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.5;
    Float64 geospatial_vertical_min 0.5;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-12-03T17:21:48Z (local files)
2024-12-03T17:21:48Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_660429.html";
    String infoUrl "https://www.bco-dmo.org/dataset/660429";
    String institution "BCO-DMO";
    String instruments_0_acronym "Plankton Net";
    String instruments_0_dataset_instrument_description "Sea Gear 8\" diameter 20um mesh";
    String instruments_0_dataset_instrument_nid "660441";
    String instruments_0_description "A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/22/";
    String instruments_0_instrument_name "Plankton Net";
    String instruments_0_instrument_nid "525";
    String instruments_0_supplied_name "Sea Gear";
    String instruments_1_acronym "Refractometer";
    String instruments_1_dataset_instrument_description "Measured sea surface salinity";
    String instruments_1_dataset_instrument_nid "660443";
    String instruments_1_description 
"A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.

In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.";
    String instruments_1_instrument_name "Refractometer";
    String instruments_1_instrument_nid "679";
    String instruments_1_supplied_name "Refractometer";
    String keywords "air, air_temp, alexandrium, Alexandrium_sp, bco, bco-dmo, biological, chemical, data, dataset, date, density, depth, diatoms, dinoflagellates, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, event, instrument, investigator, iso, ISO_DateTime_Local, latitude, local, longitude, management, ocean, oceanography, oceans, office, practical, preliminary, salinity, sampling, sampling_event, science, sea, sea_water_practical_salinity, seawater, site, site_type, station, surface, surface_salinity, surface_temp, temperature, tide, time, time_local, time_zone, type, water, weather, year, zone";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/660429/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/660429";
    Float64 Northernmost_Northing 58.538;
    String param_mapping "{'660429': {'lat': 'flag - latitude', 'depth': 'flag - depth', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/660429/parameters";
    String people_0_affiliation "University of Alaska Fairbanks";
    String people_0_affiliation_acronym "UAF-Juneau";
    String people_0_person_name "Dr Elizabeth D. Tobin";
    String people_0_person_nid "565811";
    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 "Hannah Ake";
    String people_1_person_nid "650173";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Mathew Biddle";
    String people_2_person_nid "708682";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "SEAK-AHAB";
    String projects_0_acronym "SEAK-AHAB";
    String projects_0_description 
"Description from NSF award abstract:
The project is supported under the NSF Science, Engineering and Education for Sustainability Fellows (SEES Fellows) program, with the goal of helping to enable discoveries needed to inform actions that lead to environmental, energy and societal sustainability while creating the necessary workforce to address these challenges.
This project focuses on the sustainability of shelfish harvesting in Alaska. In Alaska, paralytic shellfish poisoning caused by the marine alga Alexandrium is a severe and persistent problem that significantly impacts human health and the availability of shellfish resources. This project aims to enhance sustainability of commercial, recreational and subsistence shellfish harvest in Southeast Alaska by addressing the ecology of Alexandrium harmful algal blooms and their sociocultural impacts. Despite the recognized impacts of paralytic shellfish poisoning, little research has been done on the causative organism, Alexandrium, and the sociocultural impacts of toxic Alexandrium blooms in the Southeast Alaska region. This study is a three-pronged effort. First, the project bolsters understanding of the ecological mechanisms that promote Alexandrium blooms by mapping cyst seedbeds (i.e., bloom initiation sites), monitoring cyst emergence, and identifying environmental conditions under which blooms form. This information adds to the body of scientific knowledge about Alexandrium bloom dynamics in coastal, fjord systems, provide early-warning information about toxic bloom development and help focus future paralytic shellfish poisoning testing and harmful algal bloom monitoring efforts in Southeast Alaska. Second, the application of novel in situ sensors will overcome previous benthic emergence monitoring challenges and has the potential to improve harmful algal bloom forecasting capabilities. Third, human dimensions research will generate critical information about how social systems can reduce vulnerability to harmful algal blooms and how local/traditional knowledge can support scientific efforts by establishing strong community partnerships.
The SEES Fellow, Dr. Elizabeth Tobin, works with host mentor Dr. Ginny Eckert at the University of Alaska Fairbanks, and with partner mentor Dr. Thomas Leschine at the University of Washington.";
    String projects_0_end_date "2017-08";
    String projects_0_geolocation "Southeast Alaska; 58 N, 134 W";
    String projects_0_name "Enhancing Sustainability of Shellfish Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their Sociocultural Impacts";
    String projects_0_project_nid "565810";
    String projects_0_start_date "2014-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 58.3733;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "investigator,instrument,time_zone,depth";
    String summary "Phytoplankton abudance and physical environmental data from off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project)";
    String title "[Phytoplankton abundance from net tows and environmental data] - Phytoplankton abudance and physical environmental data from off the coast of Juneau, Alaska from 2015-2016 (SEAK-AHAB project) (Enhancing Sustainability of Shellfish Harvest in Alaska: Addressing the Ecology of Alexandrium Blooms and their Sociocultural Impacts)";
    String version "1";
    Float64 Westernmost_Easting -134.8454;
    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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