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Dataset Title:  Treatment description and growth parameters for Thalassiosira weissflogii
generating d13C-AA, collected on R/V Meteor M77 in the Peruvian ocean margin
from November to December 2008.
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_715856)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  ID {
    String bcodmo_name "sample";
    String description "Treatment ID";
    String long_name "ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Treatment {
    String bcodmo_name "treatment";
    String description "Treatment description";
    String long_name "Treatment";
    String units "unitless";
  }
  Temp {
    String bcodmo_name "temperature";
    String description "Temperature. Temperature values marked with (1) are means of outdoor conditions";
    String long_name "Temperature";
    String units "celsius";
  }
  Light {
    String bcodmo_name "irradiance";
    String description "Irradiance. Irradiance values marked with (2) are means of outdoor conditions.";
    String long_name "Light";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/VSRW/";
    String units "umol/square meter/second";
  }
  Light_cycle {
    String bcodmo_name "unknown";
    String description "Light cycle conditions";
    String long_name "Light Cycle";
    String units "D/L (h)";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 12.3, 30.9;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  pH_init {
    Float32 _FillValue NaN;
    Float32 actual_range 7.65, 8.75;
    String bcodmo_name "pH";
    String description "pH initial value; free scale at 17 degrees Celsius";
    String long_name "P H Init";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH";
  }
  pH_term {
    String bcodmo_name "pH";
    String description "pH term. Value; free scale at 17 degrees Celsius";
    String long_name "P H Term";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Culturing
 
The marine diatom Thalassiosira weiss\\ufb02ogii Grunow (strain CCMP 1010) was
cultured in sterile filtered natural North Sea water (Schleswig-Holstein,
Germany) or Baltic Sea water (Schleswig-Holstein, Germany). The medium was
enriched with f/4 concentrations of macro- and micronutrients (nitrate,
phosphate, silicic acid, trace metal mixture, vitamin mixture (Guillard and
Ryther, 1962). All experiments were performed in sterile 2.1 L Schott Duran
glass bottles. These bottles were made of borosilicate glass (filters UV
radiation <310 nm) except for the quartz glass bottles (pure silica without UV
radiation filter) used in the UV experiment. The cultures were either
incubated in climate chambers with 400 \\u2013700 nm radiation or 10 cm below
water level at low tide in Kiel Fjord in May 2011. Water temperature and light
irradiance data were obtained from the weather station maintained by the
GEOMAR institute in Kiel, Germany. Growth conditions for the various
treatments, i.e. salinity, pH, temperature, and irradiance are given in Table
1. pH values (reported on free scale) were measured \\u00a0with separate glass
and reference electrodes (Metrohm) and calculated with equation 3 from DOE
2007 chapter 6b (Dickson et al., 2007) as described in (Bach et al., 2012).
Cultures were inoculated with densities of 20 cells ml-1. \\u00a0Cell densities
and equivalent spherical diameters were determined with a Coulter Counter
(Beckman Coulter) at the beginning and the end of the experiment,
respectively. When incubations ended, cells were filtered on 47 mm diameter, 5
um mesh size Nucleopore Track-Etch Membrane filters (Whatman) and frozen at
-18 deg C immediately after filtration.";
    String awards_0_award_nid "704683";
    String awards_0_award_number "OCE-1131816";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1131816";
    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 "Candace O. Major";
    String awards_0_program_manager_nid "51690";
    String cdm_data_type "Other";
    String comment 
"Algal Treatment 
  M. McCarthy, PI 
  Version 14 September 2017";
    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 "2017-09-29T19:09:36Z";
    String date_modified "2019-03-19T17:35:57Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.715856.1";
    String history 
"2024-04-26T08:46:42Z (local files)
2024-04-26T08:46:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_715856.das";
    String infoUrl "https://www.bco-dmo.org/dataset/715856";
    String institution "BCO-DMO";
    String instruments_0_acronym "Water Temp Sensor";
    String instruments_0_dataset_instrument_description "Used to measure temperature";
    String instruments_0_dataset_instrument_nid "715879";
    String instruments_0_description "General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/134/";
    String instruments_0_instrument_name "Water Temperature Sensor";
    String instruments_0_instrument_nid "647";
    String instruments_0_supplied_name "Water Temperature Sensor";
    String instruments_1_acronym "pH Sensor";
    String instruments_1_dataset_instrument_description "Used to measure pH";
    String instruments_1_dataset_instrument_nid "715878";
    String instruments_1_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_1_instrument_name "pH Sensor";
    String instruments_1_instrument_nid "674";
    String instruments_1_supplied_name "pH sensor";
    String instruments_2_acronym "Light Meter";
    String instruments_2_dataset_instrument_description "Used to measure irradiance";
    String instruments_2_dataset_instrument_nid "715877";
    String instruments_2_description "Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)";
    String instruments_2_instrument_name "Light Meter";
    String instruments_2_instrument_nid "703";
    String instruments_2_supplied_name "Light meter";
    String instruments_3_acronym "Salinity Sensor";
    String instruments_3_dataset_instrument_description "Used to measure salinity";
    String instruments_3_dataset_instrument_nid "715880";
    String instruments_3_description "Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_3_instrument_name "Salinity Sensor";
    String instruments_3_instrument_nid "710";
    String instruments_3_supplied_name "Salinity sensor";
    String keywords "bco, bco-dmo, biological, chemical, cycle, data, dataset, density, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, init, light, Light_cycle, management, ocean, oceanography, oceans, office, pH_init, pH_term, practical, preliminary, salinity, science, sea, sea_water_practical_salinity, seawater, Temp, temperature, term, treatment, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/715856/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/715856";
    String param_mapping "{'715856': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/715856/parameters";
    String people_0_affiliation "University of California-Santa Cruz";
    String people_0_affiliation_acronym "UC Santa Cruz";
    String people_0_person_name "Matthew D. McCarthy";
    String people_0_person_nid "557245";
    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 project "Amino Acid Sediment 15N";
    String projects_0_acronym "Amino Acid Sediment 15N";
    String projects_0_description 
"The bioavailability of nutrients plays a crucial role in oceanic biological productivity, the carbon cycle, and climate change. The global ocean inventory of nitrogen (N) is determined by the balance of N-fixation (sources) and denitrification (sinks). In this three-year project, a researcher from the University of California, Santa Cruz, will focus on developing compound-specific N isotope (d15N) analysis of amino acids as a new tool for understanding N source and transformation of organic matter in paleo-reservoirs. The offsets in the isotopic ratios of individual amino acid groups may yield information about trophic transfer, heterotrophic microbial reworking, and autotrophic versus heterotrophic sources. By measuring and comparing the bulk and amino acid d15N in size-fractioned samples from plankton tows, sediments traps, and multi-cores in oxic and suboxic depositional environments, the researcher will: (1) Provide a proxy of the d15N of average exported photoautotrophic organic matter; and (2) Provide a new level of detail into sedimentary organic N degradation and preservation.
Broader impacts:
This project will improve understanding of the fundamental underpinnings and behaviors of d15N amino acid patterns and how they behave in contrasting sedimentary environments, while also developing a potential paleoceanographic proxy. Funding will support a graduate student and undergraduate research at the institution. The researcher will also conduct community outreach in the form of a workshop/tutorial on the proxy development.";
    String projects_0_end_date "2016-09";
    String projects_0_geolocation "California Margin , Santa Barbara Basin , CA current system,  Eastern Tropical Pacific";
    String projects_0_name "The Use of Nitrogen Isotopes of Amino Acids To Understand Marine Sedimentary 15N Records";
    String projects_0_project_nid "704684";
    String projects_0_start_date "2011-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Treatment description and growth parameters for Thalassiosira weissflogii generating d13C-AA, collected on R/V Meteor M77 in the Peruvian ocean margin from November to December 2008.";
    String title "Treatment description and growth parameters for Thalassiosira weissflogii generating d13C-AA, collected on R/V Meteor M77 in the Peruvian ocean margin from November to December 2008.";
    String version "1";
    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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