Accessing BCO-DMO data
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| Dataset Title: | Pore water geochemistry from sediment cores collected on the R/V Nathaniel B. Palmer cruise NBP1601 to the West Antarctic continental shelf in January of 2016 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_813166) |
| Information: | Summary
| License
| ISO 19115
| Metadata
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Attributes {
s {
St_ID {
String bcodmo_name "station";
String description "station ID #";
String long_name "St ID";
String units "unitless";
}
Sa_ID {
String bcodmo_name "sample";
String description "sample ID (station ID #- core ID #-sample # (BW = bottom water sample; note BW samples have no sample #)";
String long_name "Sa ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
Core {
String bcodmo_name "sample_type";
String description "core type (H = samples collected by hydrocast; M = mega-corer; K = Kasten corer)";
String long_name "Core";
String units "unitless";
}
Samp {
String bcodmo_name "sample_descrip";
String description "how pore waters/bottom waters were collected (C = centrifugation; R = rhizon sampler; G = hydrocast/GO-Flo bottle; see Methodology for details)";
String long_name "Samp";
String units "unitless";
}
Depth {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 225.0;
String bcodmo_name "depth_bsf";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "sediment depth (relative to the sediment-water interface; 0 = bottom water sample)";
String long_name "Depth";
String standard_name "depth";
String units "centimeters (cm)";
}
Error {
Float32 _FillValue NaN;
Float32 actual_range 0.25, 1.5;
String bcodmo_name "sample_descrip";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "half the thickness of the sediment sample (note: Rhizon samples are collected at discrete depths and there is no error associated with their depths)";
String long_name "Error";
String units "centimeters (cm)";
}
pH {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 7.69;
String bcodmo_name "pH";
Float64 colorBarMaximum 9.0;
Float64 colorBarMinimum 7.0;
String description "initial pH of sample titrated for alkalinity";
String long_name "Sea Water Ph Reported On Total Scale";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
String units "NBS scale";
}
Alk {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 6.95;
String bcodmo_name "TALK";
String description "pore water alkalinity";
String long_name "Alk";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
String units "millimolar (mM)";
}
Fe {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 85.84;
String bcodmo_name "Fe";
String description "pore water total dissolved iron";
String long_name "Fe";
String units "micromolar (uM)";
}
Mn {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 16.23;
String bcodmo_name "Mn";
String description "pore water dissolved Mn";
String long_name "MN";
String units "micromolar (uM)";
}
SO4 {
Float32 _FillValue NaN;
Float32 actual_range 21.52, 34.0;
String bcodmo_name "SO4";
String description "pore water dissolved sulfate";
String long_name "SO4";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SPHTMAXX/";
String units "millimolar (mM)";
}
DOC {
Float32 _FillValue NaN;
Float32 actual_range 74.62, 1821.34;
String bcodmo_name "DOC";
String description "pore water dissolved organic carbon";
String long_name "DOC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
String units "micromolar (uM)";
}
NO3 {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 37.77;
String bcodmo_name "NO3";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "pore water dissolved nitrate";
String long_name "Mole Concentration Of Nitrate In Sea Water";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
String units "micromolar (uM)";
}
NO2 {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 3.42;
String bcodmo_name "NO2";
Float64 colorBarMaximum 1.0;
Float64 colorBarMinimum 0.0;
String description "pore water dissolved nitrite";
String long_name "Mole Concentration Of Nitrite In Sea Water";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
String units "micromolar (uM)";
}
NH4 {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 263.5;
String bcodmo_name "Ammonium";
Float64 colorBarMaximum 5.0;
Float64 colorBarMinimum 0.0;
String description "pore water dissolved ammonium";
String long_name "Mole Concentration Of Ammonium In Sea Water";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
String units "micromolar (uM)";
}
PO4 {
Float32 _FillValue NaN;
Float32 actual_range 6.35, 41.6;
String bcodmo_name "PO4";
String description "pore water dissolved orthophosphate";
String long_name "Mass Concentration Of Phosphate In Sea Water";
String units "micromolar (uM)";
}
Si {
Float32 _FillValue NaN;
Float32 actual_range 155.1, 838.2;
String bcodmo_name "Si";
String description "pore water dissolved silicate";
String long_name "Mass Concentration Of Silicate In Sea Water";
String units "micromolar (uM)";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.45279284e+9, 1.54866816e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "station timestamp (UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ";
String ioos_category "Time";
String long_name "ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "ISO_DateTime_UTC";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range -67.7717, -64.1583;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "station latitude, south is negative";
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 -71.2217, -62.7317;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "station longitude, west is negative";
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";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Sediment and pore water collection:
Short sediment cores were collected using a Bowers & Connelly megacorer, a
multiple coring device that can collect ~20-40 cm long sediment cores with
undisturbed sediment surfaces. At two sites (stations 41 and 64) longer cores
(up to ~2 m) were also collected with a Kasten corer.
Megacorer cores were either sectioned for solid phase analysis, profiled with
polarographic microelectrodes to determine dissolved O2 concentrations, or
sectioned in a cold van under N2 for pore water sample extraction (for details
see, Komada et al., 2016). Kasten cores were brought into a large cold room
on-board ship, laid on their side and one side of the core box removed to
expose the sediment in the core. A plastic block was placed against the top of
the core to prevent slumping of the sediment during processing, and pore
waters were collected from these cores using Rhizon samplers (Seeberg-
Elverfeldt et al., 2005) inserted directly into the cores at measured
intervals.
Pore water samples collected from both types of cores were filtered through
0.45 \\u00b5m polycarbonate filters and processed as follows. Samples for
alkalinity determinations were stored without a headspace in 3-ml plastic
syringes sealed with 3-way stopcocks. Titrated alkalinity samples (acidified
to pH ~4 after titration) were stored in plastic snap cap vials, refrigerated
and returned to ODU for the analysis of dissolved sulfate. Pore water samples
collected for the analysis of total dissolved Fe and Mn were acidified to pH
<2 on-board ship with trace metal grade HCl, and store refrigerated until
analyzed back at ODU. Samples for pore water silicate analyses were analyzed
on board the research vessel. Additional samples for the analysis of other
dissolved nutrients (nitrate, nitrite, ammonium, phosphate) were filtered into
tightly capped sample vials and frozen for return to NEOL for analysis.
Selected pore water samples (collected as described above) were also used for
the determination of dissolved organic carbon (DOC). These samples were
filtered directly into acid-cleaned and muffled (550 \\u00b0C for at least 4 h)
glass ampules and were then acidified to pH < 2 with 6 N trace metal grade HCl
and flame-sealed under a stream of UHP N2 gas. The sealed ampules were stored
refrigerated and returned to ODU for analysis.
While it is possible to recover cores with intact sediment-water interfaces
using a megacorer, loss of surface sediments is typical during Kasten coring,
making it not possible to directly determine absolute depths below the
sediment-water interface in a Kasten core. We therefore determined the
absolute depths of pore water and solid phase sample intervals from Kasten
cores by aligning Kasten core profiles of pore water alkalinity to megacore
alkalinity profiles from the same site (Berelson et al., 2005; Komada et al.,
2016).
Bottom water collection:
Bottom waters were collected by GO-Flo Bottles ~5-10 m off the seafloor. They
were filtered through 0.45 \\u00b5m polycarbonate filters and processed as
described above for pore water samples.
Pore water analyses: Sampled collected for alkalinity determination were
titrated aboard ship within 12 hours of collection by automated Gran titration
(Hu and Burdige, 2008). Dissolved sulfate was determined on titrated
alkalinity samples returned to ODU by ion chromatography and conductivity
detection (Thermo-Scientific Dionex ICS-5000; Burdige and Komada, 2011; Komada
et al., 2016). Concentrations of DOC were determined at ODU by high
temperature combustion using a Shimadzu TOC-V total carbon analyzer (Komada et
al., 2013; Komada et al., 2016). Frozen samples for the determination of
dissolved nutrients were returned to NEOL and analyzed by autoanalyzer for
nitrate and nitrite (Armstrong et al., 1967; Pavlou, 1972), ammonium
(Koroleff, 1970; Slawyk and MacIsaac, 1972) and dissolved inorganic phosphate
(Drummond and Maher, 1995). Pore water silicate was determined on board the
research vessel used fresh pore water samples and a manual colorimetric method
following Armstrong et al. (1967).
Pore water dissolved iron was determined colorimetrically at ODU using the
ferrozine technique (Stookey, 1970; Viollier et al., 2000). Hydroxylamine-HCl
(0.2% final concentration) was added to the samples before analysis, to reduce
any dissolved Fe3+ in the samples to Fe2+. The pore water iron results
reported here therefore represent total dissolved iron (i.e., Fe2+ plus any
Fe3+ in the samples). This was done largely as a precaution against any iron
oxidation that may have occurred during sample storage, since it is assumed
that virtually all of the dissolved iron in these pore waters exists in situ
as Fe2+ (e.g., Viollier et al., 2000).
Samples for the analysis of dissolved manganese were determined with a
modification of the colorimetric formaldoxime method (Armstrong et al., 1979;
Goto et al., 1962). These modifications were made based on the observation
that the amount of EDTA typically added to destroy the Fe-formaldoxime
complexes that interfere with the colorimetric determination of the Mn-
formaldoxime complexes was insufficient because of the complexation (and
presumed competition) of this EDTA by the much higher levels of dissolved Ca2+
and Mg2+ in our pore water samples ( 60 mM assuming a pore water salinity of
~35). Thus it was necessary to increase the amount of EDTA added to the
samples so that it exceeded these Ca2+ plus Mg2+ levels.
In our method we made the formaldoxime mixed reagent by dissolving 8 g of
hydroxylamine hydrochloride and 4ml formaldehyde (37%) in 200 ml of distilled
deionized water. Next we combined 0.5 ml of either a pore water sample or Mn2+
standard with 0.5 ml of distilled deionized water and: 50 \\u00b5l of the
formaldoxime mixed reagent, 50 \\u00b5l of concentrated (50%) NH4OH, 50 \\u00b5l
of a 20% hydroxylamine hydrochloride solution, and 0.2 ml of a 250 mM EDTA
solution. The color of the solution was allowed to develop for 20 min. and
then analyzed at 450 nm.";
String awards_0_award_nid "806863";
String awards_0_award_number "OPP-1551195";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1551195";
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. Jackson";
String awards_0_program_manager_nid "806862";
String cdm_data_type "Other";
String comment
"Pore water geochemistry
PI: David J Burdige
Data Version 1: 2020-06-08";
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 "2020-05-27T22:59:42Z";
String date_modified "2020-06-17T23:05:28Z";
String defaultDataQuery "&time<now";
String doi "10.26008/1912/bco-dmo.813166.1";
Float64 Easternmost_Easting -62.7317;
Float64 geospatial_lat_max -64.1583;
Float64 geospatial_lat_min -67.7717;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -62.7317;
Float64 geospatial_lon_min -71.2217;
String geospatial_lon_units "degrees_east";
String history
"2024-04-16T20:57:34Z (local files)
2024-04-16T20:57:34Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_813166.html";
String infoUrl "https://www.bco-dmo.org/dataset/813166";
String institution "BCO-DMO";
String instruments_0_acronym "GO-FLO";
String instruments_0_dataset_instrument_nid "814590";
String instruments_0_description "GO-FLO bottle cast used to collect water samples for pigment, nutrient, plankton, etc. The GO-FLO sampling bottle is specially designed to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/30/";
String instruments_0_instrument_name "GO-FLO Bottle";
String instruments_0_instrument_nid "411";
String instruments_1_acronym "Gravity Corer";
String instruments_1_dataset_instrument_nid "814589";
String instruments_1_description "The gravity corer allows researchers to sample sediment layers at the bottom of lakes or oceans. The coring device is deployed from the ship and gravity carries it to the seafloor. (https://www.whoi.edu/instruments/viewInstrument.do?id=1079).";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/51/";
String instruments_1_instrument_name "Gravity Corer";
String instruments_1_instrument_nid "531";
String instruments_1_supplied_name "Kasten corer";
String instruments_2_acronym "Multi Corer";
String instruments_2_dataset_instrument_nid "814588";
String instruments_2_description "The Multi Corer is a benthic coring device used to collect multiple, simultaneous, undisturbed sediment/water samples from the seafloor. Multiple coring tubes with varying sampling capacity depending on tube dimensions are mounted in a frame designed to sample the deep ocean seafloor. For more information, see Barnett et al. (1984) in Oceanologica Acta, 7, pp. 399-408.";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/51/";
String instruments_2_instrument_name "Multi Corer";
String instruments_2_instrument_nid "532";
String instruments_2_supplied_name "Bowers & Connelly megacorer";
String instruments_3_acronym "Nutrient Autoanalyzer";
String instruments_3_dataset_instrument_description "Frozen samples for the determination of dissolved nutrients were returned to NEOL and analyzed by autoanalyzer for nitrate and nitrite (Armstrong et al., 1967; Pavlou, 1972), ammonium (Koroleff, 1970; Slawyk and MacIsaac, 1972) and dissolved inorganic phosphate (Drummond and Maher, 1995).";
String instruments_3_dataset_instrument_nid "814592";
String instruments_3_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
String instruments_3_instrument_name "Nutrient Autoanalyzer";
String instruments_3_instrument_nid "558";
String instruments_4_acronym "Shimadzu TOC-V";
String instruments_4_dataset_instrument_nid "814591";
String instruments_4_description "A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.";
String instruments_4_instrument_external_identifier "http://onto.nerc.ac.uk/CAST/124";
String instruments_4_instrument_name "Shimadzu TOC-V Analyzer";
String instruments_4_instrument_nid "603";
String instruments_4_supplied_name "Shimadzu TOC-V total carbon analyzer (Komada et al., 2013; Komada et al., 2016).";
String keywords "alk, ammonia, ammonium, bco, bco-dmo, biological, chemical, chemistry, commerce, concentration, core, data, dataset, date, department, depth, dmo, doc, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Chemistry > Silicate, erddap, error, iso, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mass_concentration_of_silicate_in_sea_water, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, nh4, nitrate, nitrite, NO2, no3, ocean, oceanography, oceans, office, phosphate, po4, preliminary, reported, Sa_ID, samp, scale, science, sea, sea_water_ph_reported_on_total_scale, seawater, silicate, so4, St_ID, time, total, water";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/813166/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/813166";
Float64 Northernmost_Northing -64.1583;
String param_mapping "{'813166': {'Lat': 'master - latitude', 'Lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/813166/parameters";
String people_0_affiliation "Old Dominion University";
String people_0_affiliation_acronym "ODU";
String people_0_person_name "David J Burdige";
String people_0_person_nid "648653";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "New England Oceanographic Laboratory";
String people_1_affiliation_acronym "NEOL";
String people_1_person_name "John P Christensen";
String people_1_person_nid "51603";
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 "Amber D. York";
String people_2_person_nid "643627";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "Antarctic Shelf Sediments";
String projects_0_acronym "Antarctic Shelf Sediments";
String projects_0_description
"NSF Award Abstract:
General Statement:
The continental shelf region west of the Antarctic Peninsula has recently undergone dramatic changes and ecosystem shifts, and the community of organisms that live in, or feed off, the sea floor sediments is being impacted by species invasions from the north. Previous studies of these sediments indicate that this community may consume much more of the regional productivity than previously estimated, suggesting that sediments are a rich and important component of this ecosystem and one that may be ripe for dramatic change. Furthermore, under richer sediment conditions, iron is mobilized and released back to the water column. Since productivity in this ecosystem is thought to be limited by the availability of iron, increased rates of iron release from these sediments could stimulate productivity and promote greater overall ecosystem change. In this research, a variety of sites across the shelf region will be sampled to accurately evaluate the role of sediments in consuming ecosystem productivity and to estimate the current level of iron release from the sediments. This project will provide a baseline set of sediment results that will present a more complete picture of the west Antarctic shelf ecosystem, will allow for comparison with water column measurements and for evaluation of the fundamental workings of this important ecosystem. This is particularly important since high latitude systems may be vulnerable to the effects of climate fluctuations. Both graduate and undergraduate students will be trained. Presentations will be made at scientific meetings, at other universities, and at outreach events. A project web site will present key results to the public and explain how this new information improves understanding of Antarctic ecosystems.
Technical Description of Project:
In order to determine the role of sediments within the west Antarctic shelf ecosystem, this project will determine the rates of sediment organic matter oxidation at a variety of sites across the Palmer Long Term Ecosystem Research (LTER) study region. To estimate the rates of release of iron and manganese from the sediments, these same sites will be sampled for detailed vertical distributions of the concentrations of these metals both in the porewaters and in important mineral phases. Since sediment sampling will be done at LTER sites, the sediment data can be correlated with the rich productivity data set from the LTER. In detail, the project: a) will determine the rates of oxygen consumption, organic carbon oxidation, nutrient release, and iron mobilization by shelf sediments west of the Antarctic Peninsula; b) will investigate the vertical distribution of diagenetic reactions within the sediments; and c) will assess the regional importance of these sediment rates. Sediment cores will be used to determine sediment-water fluxes of dissolved oxygen, total carbon dioxide, nutrients, and the vertical distributions of these dissolved compounds, as well as iron and manganese in the pore waters. Bulk sediment properties of porosity, organic carbon and nitrogen content, carbonate content, biogenic silica content, and multiple species of solid-phase iron, manganese, and sulfur species will also be determined. These measurements will allow determination of total organic carbon oxidation and denitrification rates, and the proportion of aerobic versus anaerobic respiration at each site. Sediment diagenetic modeling will link the processes of organic matter oxidation to metal mobilization. Pore water and solid phase iron and manganese distributions will be used to model iron diagenesis in these sediments and to estimate the iron flux from the sediments to the overlying waters. Finally, the overall regional average and distribution of the sediment processes will be compared with the distributions of seasonally averaged chlorophyll biomass and productivity.";
String projects_0_end_date "2020-02";
String projects_0_geolocation "West Antarctic Continental Shelf";
String projects_0_name "Organic Carbon Oxidation and Iron Remobilization by West Antarctic Shelf Sediments";
String projects_0_project_nid "806864";
String projects_0_start_date "2015-09";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing -67.7717;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Pore water geochemistry from sediment cores collected on the R/V Nathaniel B. Palmer cruise NBP1601 to the West Antarctic continental shelf in January of 2016.";
String time_coverage_end "2019-01-28T09:36Z";
String time_coverage_start "2016-01-14T17:34Z";
String title "Pore water geochemistry from sediment cores collected on the R/V Nathaniel B. Palmer cruise NBP1601 to the West Antarctic continental shelf in January of 2016";
String version "1";
Float64 Westernmost_Easting -71.2217;
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.