ERDDAP > tabledap > Data Access Form

Dataset Title:	[Lake Erie Winter Surveys 2018-2020] - Winter survey data from Lake Erie from 2018-2020 (Lake Erie Center for Fresh Waters and Human Health)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_809945)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
Station (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"EC880"	"NB006"
Deployment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"NB-2018-01"	"NB-2019-03"
Alternate_Deployment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2019-01-001"	"NaN"
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2018-11-29"	"2019-05-03"
time2 (Time, unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"13:45:00"	"NaN"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		41.519166	41.95
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-83.15	-81.653888
Max_Depth (meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.1	24.96
depth (Sample Depth, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	10.0
Air_Temp (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		-8.333333333	11.6
Water_Temp (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.84	9.25
Ice_cover (unitless (percent))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	100
Snow_cover (unitless (percent))	!= =~ <= >= = < >		!= =~ <= >= = < >		0
Ice_type (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"NaN"	"plate"
Ice_thickness (centimeters (cm))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	17.5
Chl_a (micrograms per liter (ug L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.7	21.5
NH3 (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.006	0.078
CL (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		9.6	19.6
S04 (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		15.0	24.8
NO2 (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0
NO3 (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.28	1.27
SIO2 (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.88
SRP (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002	0.025
Total_Phosphorus (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0127	0.0381
Total_Nitrogen (milligrams per liter (mg L-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.164	0.442
Aulacoseira_islandica (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		7000.0	1460000.0
Stephanodiscus_spp (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		41000.0	2480000.0
Fragilaria_spp (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		36000.0	82000.0
Skeletonema_spp (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		4000.0	4000.0
centric_small (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		83000.0	354000.0
Nitzschia (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		2000.0	6000.0
Aphanizomenon_flos_aquae (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		45000.0	128000.0
cryptomonads (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		3000.0	353000.0
Gymnodinium_sp (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		2000.0	2000.0
chlorophytes (cells per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		11000.0	11000.0
time (ISO Date Time UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2019-02-26T21:15:00Z

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Station Deployment Alternate_Deployment Date time2 latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness Chl_a NH3 CL S04 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Aphanizomenon_flos_aquae cryptomonads Gymnodinium_sp chlorophytes time Station Deployment Alternate_Deployment Date time2 latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness Chl_a NH3 CL S04 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Aphanizomenon_flos_aquae cryptomonads Gymnodinium_sp chlorophytes time Station Deployment Alternate_Deployment Date time2 latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness Chl_a NH3 CL S04 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Aphanizomenon_flos_aquae cryptomonads Gymnodinium_sp chlorophytes time Station Deployment Alternate_Deployment Date time2 latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness Chl_a NH3 CL S04 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Aphanizomenon_flos_aquae cryptomonads Gymnodinium_sp chlorophytes time Station Deployment Alternate_Deployment Date time2 latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness Chl_a NH3 CL S04 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Aphanizomenon_flos_aquae cryptomonads Gymnodinium_sp chlorophytes time ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station {
    String bcodmo_name "station";
    String description "Station";
    String long_name "Station";
    String units "unitless";
  }
  Deployment {
    String bcodmo_name "cruise_id";
    String description "Deployment";
    String long_name "Deployment";
    String units "unitless";
  }
  Alternate_Deployment {
    String bcodmo_name "Cruise Name";
    String description "Alternate deployment identifier";
    String long_name "Alternate Deployment";
    String units "unitless";
  }
  Date {
    String bcodmo_name "date";
    String description "Date; format: YYYY-MM-DD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Time (UTC); format: HH:MM:SS";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.519166, 41.95;
    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 -83.15, -81.653888;
    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 source_name "long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Max_Depth {
    Float32 _FillValue NaN;
    Float32 actual_range 7.1, 24.96;
    String bcodmo_name "depth";
    String description "Max. depth";
    String long_name "Max Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String units "meters (m)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 10.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Sample depth";
    String ioos_category "Location";
    String long_name "Sample Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Air_Temp {
    Float64 _FillValue NaN;
    Float64 actual_range -8.333333333, 11.6;
    String bcodmo_name "temp_air";
    String description "Air temperature";
    String long_name "Air Temp";
    String units "degrees Celsius";
  }
  Water_Temp {
    Float32 _FillValue NaN;
    Float32 actual_range 6.84, 9.25;
    String bcodmo_name "temperature";
    String description "Water temperature";
    String long_name "Water Temp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  Ice_cover {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 100;
    String bcodmo_name "ice_cover";
    String description "Percent ice cover";
    String long_name "Ice Cover";
    String units "unitless (percent)";
  }
  Snow_cover {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String bcodmo_name "snow_cover";
    String description "Percent snow cover";
    String long_name "Snow Cover";
    String units "unitless (percent)";
  }
  Ice_type {
    String bcodmo_name "ice_cover_type";
    String description "Ice type";
    String long_name "Ice Type";
    String units "unitless";
  }
  Ice_thickness {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 17.5;
    String bcodmo_name "ice_thickness";
    String description "Ice thickness";
    String long_name "Ice Thickness";
    String units "centimeters (cm)";
  }
  Chl_a {
    Float32 _FillValue NaN;
    Float32 actual_range 2.7, 21.5;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "Chlorophyll a";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "micrograms per liter (ug L-1)";
  }
  NH3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.006, 0.078;
    String bcodmo_name "NH3";
    String description "NH3";
    String long_name "NH3";
    String units "milligrams per liter (mg L-1)";
  }
  CL {
    Float32 _FillValue NaN;
    Float32 actual_range 9.6, 19.6;
    String bcodmo_name "Cl";
    String description "Cl";
    String long_name "CL";
    String units "milligrams per liter (mg L-1)";
  }
  S04 {
    Float32 _FillValue NaN;
    Float32 actual_range 15.0, 24.8;
    String bcodmo_name "SO4";
    String description "SO4";
    String long_name "S04";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SPHTMAXX/";
    String units "milligrams per liter (mg L-1)";
  }
  NO2 {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "NO2";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "milligrams per liter (mg L-1)";
  }
  NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.28, 1.27;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "NO3";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "milligrams per liter (mg L-1)";
  }
  SIO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.88;
    String bcodmo_name "silica";
    String description "SiO2";
    String long_name "SIO2";
    String units "milligrams per liter (mg L-1)";
  }
  SRP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.002, 0.025;
    String bcodmo_name "Soluble reactive phosphorus";
    String description "SRP";
    String long_name "SRP";
    String units "milligrams per liter (mg L-1)";
  }
  Total_Phosphorus {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0127, 0.0381;
    String bcodmo_name "P";
    String description "Total phosphorus";
    String long_name "Total Phosphorus";
    String units "milligrams per liter (mg L-1)";
  }
  Total_Nitrogen {
    Float32 _FillValue NaN;
    Float32 actual_range 0.164, 0.442;
    String bcodmo_name "NH3";
    String description "Total nitrogen";
    String long_name "Total Nitrogen";
    String units "milligrams per liter (mg L-1)";
  }
  Aulacoseira_islandica {
    Float32 _FillValue NaN;
    Float32 actual_range 7000.0, 1460000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Aulacoseira Islandica";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  Stephanodiscus_spp {
    Float32 _FillValue NaN;
    Float32 actual_range 41000.0, 2480000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Stephanodiscus Spp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  Fragilaria_spp {
    Float32 _FillValue NaN;
    Float32 actual_range 36000.0, 82000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Fragilaria Spp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  Skeletonema_spp {
    Float32 _FillValue NaN;
    Float32 actual_range 4000.0, 4000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Skeletonema Spp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  centric_small {
    Float32 _FillValue NaN;
    Float32 actual_range 83000.0, 354000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Centric Small";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  Nitzschia {
    Float32 _FillValue NaN;
    Float32 actual_range 2000.0, 6000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Nitzschia";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  Aphanizomenon_flos_aquae {
    Float32 _FillValue NaN;
    Float32 actual_range 45000.0, 128000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Aphanizomenon Flos Aquae";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  cryptomonads {
    Float32 _FillValue NaN;
    Float32 actual_range 3000.0, 353000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Cryptomonads";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  Gymnodinium_sp {
    Float32 _FillValue NaN;
    Float32 actual_range 2000.0, 2000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Gymnodinium Sp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  chlorophytes {
    Float32 _FillValue NaN;
    Float32 actual_range 11000.0, 11000.0;
    String bcodmo_name "abundance";
    String description "Mean cell abundance";
    String long_name "Chlorophytes";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per liter";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5512157e+9, NaN;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) in ISO8601 format: YYYY-MM-DDTHH:MM:SSZ";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"See attached Supplemental File \\\"Study Plan for the U.S. Coast Guard Survey of
Lake Erie in Winter 2019\\\".";
    String awards_0_award_nid "751268";
    String awards_0_award_number "OCE-1840715";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1840715";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Lake Erie Winter Surveys 2018-2019 
  PI: George Bullerjahn (Bowling Green State University) 
  Co-PIs: Robert Michael McKay (Great Lakes Institute for Environmental Research University of Windsor) 
  Version date: 24 April 2020";
    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 dataset_current_state "Final and no updates";
    String date_created "2020-04-24T19:48:06Z";
    String date_modified "2020-05-05T15:16:09Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.809945.1";
    Float64 Easternmost_Easting -81.653888;
    Float64 geospatial_lat_max 41.95;
    Float64 geospatial_lat_min 41.519166;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -81.653888;
    Float64 geospatial_lon_min -83.15;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 10.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T17:11:17Z (local files)
2024-11-23T17:11:17Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_809945.html";
    String infoUrl "https://www.bco-dmo.org/dataset/809945";
    String institution "BCO-DMO";
    String instruments_0_acronym "TD-700";
    String instruments_0_dataset_instrument_nid "810618";
    String instruments_0_description "The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0510/";
    String instruments_0_instrument_name "Turner Designs 700 Laboratory Fluorometer";
    String instruments_0_instrument_nid "694";
    String instruments_0_supplied_name "TD-700 fluorometer";
    String instruments_1_acronym "Stainless Steel Sampling Bottle";
    String instruments_1_dataset_instrument_description "Near-surface water is collected using a stainless steel sampling bottle. This approach has been adopted rather than use of Go-Flo bottles to accommodate working in ice.";
    String instruments_1_dataset_instrument_nid "810619";
    String instruments_1_description "A stainless steel sampling bottle used for collecting near surface samples (not a GO-FLO bottle)";
    String instruments_1_instrument_name "Stainless Steel Sampling Bottle";
    String instruments_1_instrument_nid "722";
    String instruments_1_supplied_name "stainless steel sampling bottle";
    String keywords "air, Air_Temp, alternate, Alternate_Deployment, aphanizomenon, Aphanizomenon_flos_aquae, aquae, aulacoseira, Aulacoseira_islandica, bco, bco-dmo, biological, centric, centric_small, chemical, chemistry, Chl_a, chlorophyll, chlorophytes, concentration, concentration_of_chlorophyll_in_sea_water, cover, cryptomonads, data, dataset, date, deployment, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Nitrate, erddap, flos, fragilaria, Fragilaria_spp, gymnodinium, Gymnodinium_sp, ice, Ice_cover, Ice_thickness, Ice_type, islandica, iso, ISO_DateTime_UTC, latitude, longitude, management, max, Max_Depth, mole, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, nh3, nitrate, nitrite, nitrogen, nitzschia, NO2, no3, ocean, oceanography, oceans, office, phosphorus, preliminary, s04, sample, Sample_Depth, science, sea, seawater, sio2, skeletonema, Skeletonema_spp, small, snow, Snow_cover, spp, srp, station, stephanodiscus, Stephanodiscus_spp, temperature, thickness, time, time2, total, Total_Nitrogen, Total_Phosphorus, type, water, Water_Temp";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/809945/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/809945";
    Float64 Northernmost_Northing 41.95;
    String param_mapping "{'809945': {'Lat': 'flag - latitude', 'Sample_Depth': 'flag - depth', 'long': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/809945/parameters";
    String people_0_affiliation "Bowling Green State University";
    String people_0_affiliation_acronym "BGSU";
    String people_0_person_name "George S. Bullerjahn";
    String people_0_person_nid "51464";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Windsor";
    String people_1_person_name "Robert Michael McKay";
    String people_1_person_nid "51463";
    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 "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Great Lakes Center";
    String projects_0_acronym "Great Lakes Center";
    String projects_0_description 
"NSF Award Abstract:
The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie. The Center will support three research projects. Specifically these projects address the following aims: first, how environmental cues promote or constrain the proliferation of cHAB species in mixed populations; second, how environmental cues influence toxin production by cHAB species; third, how other member of the microbial assemblage influence cHAB growth and toxicity. The Center will provide a Community Engagement Core to lead outreach activities that will inform the general public on the effects of cHABs by efforts that include: (1) a community engaged scholarship training for scientists associated with the Center, (2) community-engaged scholarship training for practitioners or community members associated with the Center, and (3) a stakeholder needs assessment for Great Lakes and environmental health literacy to inform general outreach information needs. A citizen science engagement with charter boat captains will further develop a near real-time database on cHAB severity in Lake Erie, and the Facilities Core will provide metadata that not only serve the three stated research projects, but also yield a database available to all Great Lakes scientists. The outcomes are to involve community stakeholders and researchers in the Great Lakes on issues regarding human health, climate change and awareness of threats to our fresh water resources.
The Center is jointly supported by NSF and by the National Institute for Environmental Health Sciences (NIEHS).
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.";
    String projects_0_end_date "2023-09";
    String projects_0_geolocation "Laurentian Great Lakes";
    String projects_0_name "Lake Erie Center for Fresh Waters and Human Health";
    String projects_0_project_nid "751269";
    String projects_0_project_website "https://www.bgsu.edu/great-lakes-center.html";
    String projects_0_start_date "2018-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.519166;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Snow_cover";
    String summary "Winter survey data from Lake Erie collected on USCGC NEAH BAY and CCGS Limnos during 2018 and 2019.";
    String time_coverage_start "2019-02-26T21:15:00Z";
    String title "[Lake Erie Winter Surveys 2018-2020] - Winter survey data from Lake Erie from 2018-2020 (Lake Erie Center for Fresh Waters and Human Health)";
    String version "1";
    Float64 Westernmost_Easting -83.15;
    String xml_source "osprey2erddap.update_xml() v1.5";
  }
}

 

---

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 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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.

 

---

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact