Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [Sea surface microlayer trace element concentrations] - Sea surface microlayer trace element concentrations from Florida Keys National Marine Sanctuary from 2014-2015 (Vibrio-dust deposition project) (Vibrio as a model microbe for opportunistic heterotrophic response to Saharan dust deposition events in marine waters) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_712453) |
| Information: | Summary
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| ISO 19115
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Attributes {
s {
year {
Int16 _FillValue 32767;
Int16 actual_range 2014, 2015;
String bcodmo_name "year";
String description "four digit year when the data were collected";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
String units "unitless";
}
sample_id {
String bcodmo_name "sample";
String description "identifier for the sample";
String long_name "Sample Id";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
sml_uwc {
String bcodmo_name "unknown";
String description "specific depth identifier (sml=surface microlayer; uwc=0.3m depth water column)";
String long_name "Sml Uwc";
String units "unitless";
}
sample_type {
String bcodmo_name "sample_type";
String description "type of sample collected (dissolved; reactive_particulate; refractory_particulate)";
String long_name "Sample Type";
String units "unitless";
}
replicate {
String bcodmo_name "replicate";
String description "identifier which specifies which replicate the sample is";
String long_name "Replicate";
String units "unitless";
}
date_time_UTC {
String bcodmo_name "date";
String description "date sample was collected in YYYY-MM-DDTHH:MM:SS.SS format";
String long_name "Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String source_name "date_time_UTC";
String time_precision "1970-01-01T00:00:00Z";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 24.550933, 24.825832;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude coordinate of observations; positive values are north";
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 -81.454334, -80.814262;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude coordinate of observations; negative values are east";
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";
}
Al {
Float32 _FillValue NaN;
Float32 actual_range 0.049, 46.33;
String bcodmo_name "trace_metal_conc";
String description "concentration of aluminum";
String long_name "Al";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Ti {
String bcodmo_name "trace_metal_conc";
String description "concentration of titanium";
String long_name "Ti";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
V {
String bcodmo_name "trace_metal_conc";
String description "concentration of vanadium";
String long_name "V";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Mn {
String bcodmo_name "trace_metal_conc";
String description "concentration of manganese";
String long_name "MN";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Fe {
Float32 _FillValue NaN;
Float32 actual_range 0.045, 18.92;
String bcodmo_name "trace_metal_conc";
String description "concentration of iron";
String long_name "Fe";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Ni {
String bcodmo_name "trace_metal_conc";
String description "concentration of nickel";
String long_name "Ni";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Cu {
Float32 _FillValue NaN;
Float32 actual_range 0.002, 0.178;
String bcodmo_name "trace_metal_conc";
String description "concentration of copper";
String long_name "Cu";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Zn {
String bcodmo_name "trace_metal_conc";
String description "concentration of zinc";
String long_name "ZN";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
Pb {
String bcodmo_name "trace_metal_conc";
String description "concentration of lead";
String long_name "PB";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/C035/";
String units "micrograms per liter (ug/L)";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Microlayer was sampled by a hollow quartz tube dipped vertically into the
water column, then slowly pulled vertically out of the water and held over a
funnel attached to a receiving bottle for the microlayer sample to drip off.
This process was repeated until the desired volume of sample was collected.
Corresponding water column samples were collected about 30 cm from the surface
where a closed bottle was submerged underwater, opened, then closed again
underwater to prevent mixing with the microlayer. Microlayer and water column
samples were filtered within 1 hour after collection using 47 mm 0.2 um pore
sized polycarbonate track-etched membrane filters by vacuum filtration.
Dissolved trace elements were analyzed by a cation exchange column method
described in Milne et al. (2010). Reactive particulate trace elements were
leached from the filters using a weak acid (acetic acid) and reducing agent
(hydroxylamine hydrochloride) solution described in Berger et al. (2008).
Refractory particulate trace elements were digested using a microwave
digestion technique described in Ebling and Landing (2015). All samples were
analyzed on the Thermo Scientific Element 2 HR-ICP-MS.";
String awards_0_award_nid "553932";
String awards_0_award_number "OCE-1357423";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1357423";
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 "Michael E. Sieracki";
String awards_0_program_manager_nid "50446";
String cdm_data_type "Other";
String comment
"Sea Surface Microlayer: Trace Elements
Collaborative Proposal: Vibrio as a model microbe for opportunistic heterotrophic response to Saharan dust deposition events in marine waters
PI's: E. Lipp (UGA), W. Landing (FSU) E. Ottesen (UGA), M. Wetz (TAMU)
Version 2017-08-2
sml=sea surface microlayer; uwc=0.3 m depth water column
BDL = below detection limit
sample_type: dissolved = passed through 0.2 µm pore sized filter;
reactive_particulate = labile particulate matter retained on 0.2 µm pore sized filter;
refractory_particulate = refractory particulate matter retained on 0.2 µm pore sized filter";
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 "2017-08-08T19:24:20Z";
String date_modified "2020-06-03T14:53:03Z";
String defaultDataQuery "&time<now";
String doi "10.26008/1912/bco-dmo.712453.1";
Float64 Easternmost_Easting -80.814262;
Float64 geospatial_lat_max 24.825832;
Float64 geospatial_lat_min 24.550933;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -80.814262;
Float64 geospatial_lon_min -81.454334;
String geospatial_lon_units "degrees_east";
String history
"2024-11-23T17:04:03Z (local files)
2024-11-23T17:04:03Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712453.html";
String infoUrl "https://www.bco-dmo.org/dataset/712453";
String institution "BCO-DMO";
String instruments_0_acronym "ICP Mass Spec";
String instruments_0_dataset_instrument_description "All samples were analyzed on the Thermo Scientific Element 2 HR-ICP-MS.";
String instruments_0_dataset_instrument_nid "712662";
String instruments_0_description "An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB15/";
String instruments_0_instrument_name "Inductively Coupled Plasma Mass Spectrometer";
String instruments_0_instrument_nid "530";
String instruments_0_supplied_name "Thermo Scientific Element 2 HR-ICP-MS";
String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, latitude, longitude, management, oceanography, office, preliminary, replicate, sample, sample_id, sample_type, sml, sml_uwc, time, type, uwc, v, year";
String license "https://www.bco-dmo.org/dataset/712453/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/712453";
Float64 Northernmost_Northing 24.825832;
String param_mapping "{'712453': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/712453/parameters";
String people_0_affiliation "University of Georgia";
String people_0_affiliation_acronym "UGA";
String people_0_person_name "Erin K. Lipp";
String people_0_person_nid "553935";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Florida State University";
String people_1_affiliation_acronym "FSU - EOAS";
String people_1_person_name "William M. Landing";
String people_1_person_nid "51302";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "University of Georgia";
String people_2_affiliation_acronym "UGA";
String people_2_person_name "Elizabeth Ottesen";
String people_2_person_nid "553937";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "Texas A&M University";
String people_3_affiliation_acronym "TAMU";
String people_3_person_name "Michael Wetz";
String people_3_person_nid "553945";
String people_3_role "Co-Principal Investigator";
String people_3_role_type "originator";
String people_4_affiliation "Florida State University";
String people_4_affiliation_acronym "FSU - EOAS";
String people_4_person_name "William M. Landing";
String people_4_person_nid "51302";
String people_4_role "Contact";
String people_4_role_type "related";
String people_5_affiliation "Woods Hole Oceanographic Institution";
String people_5_affiliation_acronym "WHOI BCO-DMO";
String people_5_person_name "Mathew Biddle";
String people_5_person_nid "708682";
String people_5_role "BCO-DMO Data Manager";
String people_5_role_type "related";
String project "Vibrio-dust deposition";
String projects_0_acronym "Vibrio-dust deposition";
String projects_0_description
"Description from NSF award abstract:
Dust and mineral aerosols are a significant source of micro and macronutrients to oligotrophic ocean surface waters. Evidence is growing that heterotrophic microbes may play key roles in processing deposited minerals and nutrients. Yet it is not known which components of dust stimulate the heterotrophic bacteria, which cellular mechanisms are responsible for the utilization of those components and how the activity of these bacteria affect the availability and utilization of dust-derived minerals and nutrients by marine autotrophs. Knowledge of these factors is key to understanding how dust deposition impacts carbon cycles and for predicting the response of tropical oceans to future changes in the frequency and intensity of dust deposition events. The objective of this project is to examine the specific effects of aeolian dust on heterotrophic microbes in a tropical marine system under controlled conditions. The central hypothesis is that in oligotrophic tropical systems numerically minor opportunistic bacteria are the first responders to influx of dust constituents and respond primarily by rapidly accessing soluble trace metals and limiting nutrients that are deposited with Saharan dust. The project will focus on two specific aims: 1) Quantify changes in community structure, composition and transcriptional activity among marine microbial populations upon exposure to dust, and 2) Identify key components in Saharan dust aerosols that stimulate or repress growth and/or activity in Vibrio, a model opportunistic marine heterotrophic group. The study will use a series of controlled experiments designed to identify and quantify heterotrophic microbial response to dust deposition events using both natural communities and model bacteria (Vibrio) through metagenomics, transcriptomics and atmospheric and marine biogeochemical techniques. This innovative approach will identify the most critical (reactive) components leached from dust aerosols on the microbial community as well as elucidate potential mechanisms of response.
There is great interest in the biological response to dust aerosols given its potentially large influence on biogeochemical cycling, but there has been relatively little work that has addressed the mechanisms of response (especially among the heterotrophic microbial fraction) or identified the relative importance of specific constituents of dust aerosols. A detailed framework for microbial response (focusing on opportunistic heterotrophs) will facilitate efforts to link autotrophic and heterotrophic processing. This contribution is significant because it will provide one of the first end-to-end (chemistry to physiology to ecology) mechanistic pathways for marine biological response to desert dust aerosols.";
String projects_0_end_date "2017-03";
String projects_0_geolocation "Florida Keys, FL, USA";
String projects_0_name "Vibrio as a model microbe for opportunistic heterotrophic response to Saharan dust deposition events in marine waters";
String projects_0_project_nid "553933";
String projects_0_start_date "2014-04";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 24.550933;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "This dataset contains trace element concentrations from 2014 and 2015 in the sea surface microlayer and underlying water column for in-situ sampling in the from Florida Keys National Marine Sanctuary.";
String title "[Sea surface microlayer trace element concentrations] - Sea surface microlayer trace element concentrations from Florida Keys National Marine Sanctuary from 2014-2015 (Vibrio-dust deposition project) (Vibrio as a model microbe for opportunistic heterotrophic response to Saharan dust deposition events in marine waters)";
String version "1";
Float64 Westernmost_Easting -81.454334;
String xml_source "osprey2erddap.update_xml() v1.5";
}
}
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.