ERDDAP
Easier access to the Hakai Institute data
Easier access to the Hakai Institute data
| Dataset Title: | High performance liquid chromatography phytoplankton pigment timeseries for the northern Salish Sea and central coast, British Columbia 
|
| Institution: | Hakai Institute (Dataset ID: HakaiHPLCResearch) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Subset
| Make a graph
|
Attributes {
s {
project {
String long_name "Project";
}
work_area {
String long_name "Work Area";
}
survey {
String long_name "Survey";
}
site_id {
String cf_role "timeseries_id";
String long_name "Site Id";
}
latitude {
String _CoordinateAxisType "Lat";
String axis "Y";
String ioos_category "Location";
String long_name "Latitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
source {
String long_name "Source";
}
project_specific_id {
String long_name "Project Specific Id";
}
hakai_id {
String long_name "Hakai Id";
}
line_out_depth {
String long_name "Line Out Depth";
String units "m";
}
pressure_transducer_depth {
String long_name "Pressure Transducer Depth";
String units "m";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
String axis "Z";
String ioos_category "Location";
String long_name "Depth";
String positive "down";
String source "pressure_transducer_depth if available otherse line_out_depth";
String standard_name "depth";
String units "m";
}
time {
String _CoordinateAxisType "Time";
String axis "T";
String cf_role "profile_id";
String ioos_category "Time";
String long_name "Collected";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String units "seconds since 1970-01-01T00:00:00Z";
}
preserved {
String ioos_category "Time";
String long_name "Preserved";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String units "seconds since 1970-01-01T00:00:00Z";
}
analyzed {
String ioos_category "Time";
String long_name "Analyzed";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String units "seconds since 1970-01-01T00:00:00Z";
}
acidified {
String _Unsigned "false";
String long_name "Acidified";
}
volume {
String long_name "Volume";
String units "ml";
}
lab_technician {
String long_name "Lab Technician";
}
filter_portion {
String long_name "Filter Portion";
}
pre_weight_mg {
String long_name "Pre Weight";
String units "mg";
}
post_weight_mg {
String long_name "Post Weight";
String units "mg";
}
filter_size_mm {
String long_name "Filter Size";
String units "mm";
}
filter_type {
String long_name "Filter Type";
}
extraction_duration {
String long_name "Extraction Duration";
String units "minutes";
}
extraction_method {
String long_name "Extraction Method";
}
initial_extraction_volume {
String long_name "Initial Extraction Volume";
String units "ml";
}
volume_filtered_ml {
String long_name "Volume Filtered Ml";
String units "ml";
}
final_extraction_volume {
String long_name "Final Extraction Volume";
String units "ml";
}
tac_peak {
String long_name "Tac Peak";
}
a_19_but {
String long_name "19 But";
String standard_name "mass_concentration_of_19_butanoyloxyfucoxanthin_in_sea_water";
String units "kg/m^3";
}
a_19_hex {
String long_name "19 Hex";
String standard_name "mass_concentration_of_19_hexanoyloxyfucoxanthin_in_sea_water";
String units "kg/m^3";
}
alpha_carotene {
String long_name "Alpha Carotene";
String standard_name "mass_concentration_of_alpha_carotene_in_sea_water";
String units "kg/m^3";
}
alloxanthin {
String long_name "Alloxanthin";
String units "kg/m^3";
}
antheraxanthin {
String long_name "Antheraxanthin";
String units "kg/m^3";
}
beta_carotene {
String long_name "Beta Carotene";
String standard_name "mass_concentration_of_beta_carotene_in_sea_water";
String units "kg/m^3";
}
c2mgdg {
String long_name "C2MGDG";
String units "kg/m^3";
}
chl_a {
String long_name "Concentration Of Chlorophyll In Sea Water";
String standard_name "concentration_of_chlorophyll_in_sea_water";
}
chl_b {
String long_name "Chlorophyll-B";
String standard_name "mass_concentration_of_chlorophyll_b_in_sea_water";
String units "kg/m^3";
}
chl_c1 {
String long_name "Chlorophyll-C1";
}
chl_c1_c2 {
String long_name "CHL C1 C2";
String units "kg/m^3";
}
chl_c2 {
String long_name "Chlorophyll-C2";
String units "kg/m^3";
}
chl_c3 {
String long_name "Chlorophyll-C3";
String standard_name "mass_concentration_of_chlorophyll_c3_in_sea_water";
String units "kg/m^3";
}
chl_ide_a {
String long_name "Chl Ide A";
String units "kg/m^3";
}
chla_allomer {
String long_name "Chlorophyll-A Allomer";
String standard_name "concentration_of_chlorophyll_in_sea_water";
String units "kg/m^3";
}
chla_prime {
String long_name "Chlorophyll-A prime";
String units "kg/m^3";
}
diadinoxanthin {
String long_name "Diadinoxanthin";
String standard_name "mass_concentration_of_diadinoxanthin_in_sea_water";
String units "kg/m^3";
}
diatoxanthin {
String long_name "Diatoxanthin";
String units "kg/m^3";
}
dv_chl_a {
String long_name "DV Chlorophyll-A";
String units "kg/m^3";
}
fuco {
String long_name "Fuco";
String standard_name "mass_concentration_of_fucoxanthin_in_sea_water";
String units "kg/m^3";
}
gyroxanthin_diester {
String long_name "Gyroxanthin Diester";
String units "kg/m^3";
}
lutein {
String long_name "Lutein";
String standard_name "mass_concentration_of_lutein_in_sea_water";
String units "kg/m^3";
}
me_chlide {
String units "kg/m^3";
}
mgdvp {
String units "kg/m^3";
}
neoxanthin {
String long_name "Neoxanthin";
String units "kg/m^3";
}
peri {
String long_name "Peri";
String units "kg/m^3";
}
phbide {
String long_name "Phbide";
String units "kg/m^3";
}
phphyt {
String long_name "PHPHYT";
String units "kg/m^3";
}
prasinoxanthin {
String long_name "Prasinoxanthin";
String standard_name "mass_concentration_of_prasinoxanthin_in_sea_water";
String units "kg/m^3";
}
violaxanthin {
String long_name "Violaxanthin";
String standard_name "mass_concentration_of_violaxanthin_in_sea_water";
String units "kg/m^3";
}
zeaxanthin {
String long_name "Zeaxanthin";
String standard_name "mass_concentration_of_zeaxanthin_in_sea_water";
String units "kg/m^3";
}
total_chl_a {
String long_name "Concentration Of Total Chlorophyll-A In Sea Water";
String units "kg/m^3";
}
all_chl_a {
String long_name "Concentration Of All Chlorophyll-A In Sea Water";
String units "kg/m^3";
}
all_chl_a_flag {
String long_name "All Chl A Flag";
}
analyzing_lab {
String long_name "Analyzing Lab";
}
row_flag {
String long_name "Row Flag";
}
quality_level {
String long_name "Quality Level";
}
comments {
String long_name "Comments";
}
quality_log {
String long_name "Quality Log";
}
}
NC_GLOBAL {
String cdm_data_type "TimeSeriesProfile";
String cdm_profile_variables "project,survey,source,time";
String cdm_timeseries_variables "work_area,site_id";
String comment
"##Limitations:
Care should be taken when using HPLC phytoplankton pigment concentrations for community based analysis. Species within different phytoplankton groupings can show comparable pigment profiles or variable presence/absence of marker pigments. Pigment concentrations can also vary as a result of environmental conditions (light, nutrients, etc.). In addition, small cryptic species with similar pigment profiles as broader groupings are often not separated and are included in the biomass of the most similar grouping. Furthermore, endosymbiosis can result in mixotrophic grazers displaying pigment profiles of their endosymbiont (i.e. cryptophyte pigments within the ciliate Mesodinium rubrum). These issues can result in misclassifications or error when using chemotaxonomic and other pigment based methods. Strong knowledge of expected phytoplankton species is required prior to analysis and outputs are meant to represent broad trends in phytoplankton species composition.";
String contributor_name "Del Bel Belluz, Justin;Jordison, Drew;Evans, Wiley;Hakai Institute;Tula Foundation";
String contributor_role "custodian,author,editor,pointOfContact,principalInvestigator,originator;custodian,pointOfContact,contributor;custodian,principalInvestigator;publisher,owner,distributor;funder";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_city "Campbell River";
String creator_country "Canada";
String creator_institution "Hakai Institute";
String creator_name "Hakai Institute";
String creator_ror "https://ror.org/02pry0c91";
String creator_type "institution";
String creator_url "https://www.hakai.org/";
String date_modified "2024-07-22T20:18:57.436Z";
String doi "https://doi.org/10.21966/bw2d-tg65";
String featureType "TimeSeriesProfile";
String geospatial_lat_units "degrees_north";
String geospatial_lon_units "degrees_east";
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"Metadata record history:
- additionalDocumentation:
- authority: URL
code: https://ntrs.nasa.gov/citations/20110008482
title:
en: The Fourth SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-4)
fr: \"La quatri\\xE8me exp\\xE9rience Round Robin d'analyse HPLC de SeaWiFS (SeaHarre-4)\"
translations:
fr:
message: \"text translated using the Amazon translate service / texte traduit\\
\\ \\xE0 l'aide du service de traduction Amazon\"
verified: false
scope: Dataset
statement:
en: Explanation of HPLC USC analysis method and comparison with other methods
fr: \"Explication de la m\\xE9thode d'analyse HPLC USC et comparaison avec d'autres\\
\\ m\\xE9thodes\"
translations:
fr:
message: \"text translated using the Amazon translate service / texte traduit\\
\\ \\xE0 l'aide du service de traduction Amazon\"
verified: false
2024-10-14T20:27:54Z (source database)
2024-10-14T20:27:54Z https://catalogue.hakai.org/erddap/tabledap/HakaiHPLCResearch.html";
String id "7fd3ec6c-083a-4942-84b4-215e69492072";
String infoUrl "https://catalogue.hakai.org/dataset/ca-cioos_7fd3ec6c-083a-4942-84b4-215e69492072";
String institution "Hakai Institute";
String keywords "abundance and biomass, British Columbia, Canada, chlorophyll a, CIOOS:phytoplanktonBiomassAndDiversity, climate change, coastal zone, hplc, phytoplankton";
String keywords_vocabulary "CIOOS: CIOOS Essential Ocean Variables Vocabulary";
String license "https://creativecommons.org/licenses/by/4.0";
String metadata_form "https://hakaiinstitute.github.io/hakai-metadata-entry-form#/en/hakai/7U7b8oPpeTN6gjvXlUCTGJr5pga2/-O25qzW3OpioeACGpRHl";
String metadata_link "https://catalogue.hakai.org/dataset/ca-cioos_7fd3ec6c-083a-4942-84b4-215e69492072";
String naming_authority "ca.cioos";
String product_version "1.0";
String progress "onGoing";
String project "Oceanography";
String publisher_city "Campbell River";
String publisher_country "Canada";
String publisher_institution "Hakai Institute";
String publisher_name "Hakai Institute";
String publisher_ror "https://ror.org/02pry0c91";
String publisher_type "institution";
String publisher_url "https://www.hakai.org/";
String sourceUrl "(source database)";
String standard_name_vocabulary "CF Standard Name Table v70";
String subsetVariables "project,work_area,survey,site_id,source";
String summary
"High performance liquid chromatography (HPLC) is a method that quantifies concentrations of phytoplankton pigments from bulk water samples. Phytoplankton species groupings (i.e. diatoms, dinoflagellates, etc.) typically contain different pigments, and concentrations of pigments, used for photosynthesis. These differences make it possible to use statistical methods (e.g. chemotaxonomic analysis, CHEMTAX) to estimate phytoplankton group-level biomass contributions within a bulk water sample. These methods provide unique and valuable insight into phytoplankton community dynamics as they quantify the full phytoplankton size-spectrum, are relatively fast and cost-effective and, are directly relatable to remote sensing (i.e. pigments drive differences in light measured by satellites). Furthermore, HPLC is considered the gold-standard for quantifying phytoplankton total chlorophyll a concentrations (TChla, proxy for bulk phytoplankton biomass) required for satellite remote sensing validation.
The Hakai institute has been collecting HPLC samples in the Northern Salish Sea (NSS) at the QU39 long-term ecological research station (LTER) and at various stations on the central coast of British Columbia since 2015. These data are used to monitor phytoplankton group level dynamics, build knowledge of different environmental conditions driving their variability (Del Bel Belluz et al., 2021), investigate linkages to the food web and carbonate system, evaluate long-term change and, to build regional remote sensing models (Vishnu et al., 2022). Data from station QU39 within the NSS are collected weekly and from 2015 -2019 at 5m depth and afterwards at 0, 5 , 10 and 20m depth. On the central coast of British Columbia, data are collected monthly at 5m depth.
Samples are analyzed at the University of South Carolina Baruch Institute for Marine and Coastal Sciences using the USC method. This method was evaluated and is detailed in the NASA Fourth SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-4, Hooker et al., 2010).
Phytoplankton form the base of marine food webs and play key roles in biogeochemical cycling and carbon sequestration. The high turnover rates of phytoplankton species make them ideal sentinels of environmental change as they quickly respond to perturbations; however, a paucity of data, notably in terms of community composition, exists across coastal systems hindering the derivation of baseline conditions to assess change. This knowledge gap is especially pertinent when considering that coastal regions are experiencing rapid climate-driven change including increased temperature and acidification, reduced oxygen and altered freshwater dynamics. The synergy of these influences has the potential to alter phytoplankton community and size structure having large downstream implications on ecosystem resiliency, food production and climate regulation.";
String title "High performance liquid chromatography phytoplankton pigment timeseries for the northern Salish Sea and central coast, British Columbia";
}
}
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.