BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  [pteropod respiration] - Pteropod respiration rates from NW Atlantic and NE
Pacific; OC473 (2011) and NH1208 (2012) (Horizontal and Vertical Distribution
of Thecosome Pteropods in Relation to Carbonate Chemistry in the Northwest
Atlantic and Northeast Pacific )
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3766)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruise_id ?          "NH1208"    "OC473"
 species (text) ?          "Cavolinia_inflexa"    "Styliola_subula"
 treatment (text) ?          "10pcent_O2"    "Outside_air"
 temp (Temperature, Celsius) ?          10    20
 date_local (unitless) ?          20110808    20120915
 station (unitless) ?          "1"    "test 9"
 latitude (degrees_north) ?          33.629    49.99273
  < slider >
 longitude (degrees_east) ?          -148.608    -41.9425
  < slider >
 tow (text) ?          "Moc_10_net8"    "Reeve_9"
 weight_g (grams) ?          5.0E-4    0.2434
 sample_volume (liters) ?          0.008    0.05
 time_elapsed (hours) ?          0.18    19.2
 O2_control (micromoles O2) ?          90.74    285.01
 O2_expt (micromoles O2) ?          87.11    289.62
 O2_respiration (micromoles O2/liter) ?          0.2    196.0
 resp_rate (micromoles O2/gram hour) ?          0.05    27.69
 comments_expt (text) ?          "Alive"    "unclear_if_alive_o..."
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

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


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "cruise identification";
    String long_name "Cruise Id";
  }
  species {
    String bcodmo_name "species";
    String description "taxonomic genus and species name";
    String long_name "Species";
    String units "text";
  }
  treatment {
    String bcodmo_name "exp_type";
    String description "treatment";
    String long_name "Treatment";
    String units "text";
  }
  temp {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 10, 20;
    String bcodmo_name "temperature";
    String description "temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "Celsius";
  }
  date_local {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20110808, 20120915;
    String bcodmo_name "date_local";
    String description "date in local time in yyyymmdd format";
    String long_name "Date Local";
    String units "unitless";
  }
  station {
    String bcodmo_name "station";
    String description "station";
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 33.629, 49.99273;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude in degrees 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 -148.608, -41.9425;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude in degrees 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";
  }
  tow {
    String bcodmo_name "tow";
    String description "tow type and number including net number for MOCNESS tow if available";
    String long_name "Tow";
    String units "text";
  }
  weight_g {
    Float32 _FillValue NaN;
    Float32 actual_range 5.0e-4, 0.2434;
    String bcodmo_name "weight_g";
    String description "wet weight";
    String long_name "Weight G";
    String units "grams";
  }
  sample_volume {
    Float32 _FillValue NaN;
    Float32 actual_range 0.008, 0.05;
    String bcodmo_name "sample_volume";
    String description "volume of incubation chamber";
    String long_name "Sample Volume";
    String units "liters";
  }
  time_elapsed {
    Float32 _FillValue NaN;
    Float32 actual_range 0.18, 19.2;
    String bcodmo_name "time_elapsed";
    String description "incubation duration";
    String long_name "Time Elapsed";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
    String units "hours";
  }
  O2_control {
    Float32 _FillValue NaN;
    Float32 actual_range 90.74, 285.01;
    String bcodmo_name "O2_umol_L";
    String description "concentration of O2 in experimental chamber after incubation";
    String long_name "O2 Control";
    String units "micromoles O2";
  }
  O2_expt {
    Float32 _FillValue NaN;
    Float32 actual_range 87.11, 289.62;
    String bcodmo_name "O2_umol_L";
    String description "concentration of O2 in control chamber after incubation";
    String long_name "O2 Expt";
    String units "micromoles O2";
  }
  O2_respiration {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 196.0;
    String bcodmo_name "O2_respir";
    String description "change in O2 concentration in the water attributable to organismal respiration (Control minus Measurement)";
    String long_name "O2 Respiration";
    String units "micromoles O2/liter";
  }
  resp_rate {
    Float32 _FillValue NaN;
    Float32 actual_range 0.05, 27.69;
    String bcodmo_name "O2 consumption";
    String description "rate of O2 consumed by the organism per gram of the organism per hour";
    String long_name "Resp Rate";
    String units "micromoles O2/gram hour";
  }
  comments_expt {
    String bcodmo_name "comment";
    String description "comments pertaining to the final condition of specimens after incubation";
    String long_name "Comments Expt";
    String units "text";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"At sea, animals were captured for physiological experiments using a 1 m
diameter, 150 \\u00b5m (in 2011) or 335 \\u00b5m (in 2012) mesh Reeve net trawl,
or a 1 m2 MOCNESS tow with 150 \\u00b5m mesh nets. Pteropods were placed in
filtered seawater at densities of < 30 individuals liter-1 and acclimated for
at least 8 hours at 20\\u00b0 C, 15\\u00b0C or 10\\u00b0C in temperature
controlled waterbaths. After acclimation, individuals that were in good
condition were put into glass syringe respiration chambers with a known volume
of 0.2 micron filtered seawater for at least four hours.
 
In 2012 on cruise NH1208, an experiment\\u00a0 was conducted to determine
whether antibiotics changed the metabolic rate of the pteropods. In this
experiment water was treated with 25mg each of Streptomycin and Ampicillin
liter-1 or without antibiotics.
 
Unless otherwise explicitly stated, the water contained 25mg each of
Streptomycin and Ampicillin liter-1, to prevent bacterial growth, and was
bubbled with certified gas mixes to achieve normal air saturated (21% O2, 380
ppm CO2), high CO2 (21% O2, 800 ppm CO2), low O2 (10% O2, 380 ppm CO2) or low
O2 high CO2 (10% O2, 800 ppm CO2) conditions. Bubbling of 10% O2 achieved a
mean initial O2 concentration of 10-13% in low O2 treatments.
 
During all experiments, we simultaneously ran a control syringe (without an
animal)\\u00a0 to monitor background respiration of microbes. At the conclusion
of the experiments, we measured the O2 level by withdrawing a sample of water
from the chamber using a\\u00a0 500 \\u00b5L airtight Hamilton syringe and
injected past a Clarke-type O2 electrode (#1302) and meter (#782) in a water-
jacketed injection port (#MC100, Strathkelvin Instruments, North Lanarkshire,
United Kingdom; Marsh and Manahan, 1999). Our resulting O2consumption rates
are reported in \\u00b5moles g-1 h-1 (wet mass). Notes on carbonate chemistry
and net profiles are in the cruise report.";
    String awards_0_award_nid "54702";
    String awards_0_award_number "OCE-1041068";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1041068";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"pteropod respiration 
  Amy Maas (WHOI) 
  OC473 & NH1208 
  Aug. 2011 & Aug. 2012 
  
   version 2: 2016-07-26 (changed NH1208 longitude values to negative)";
    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 "2012-11-06T19:49:01Z";
    String date_modified "2016-07-26T19:28:35Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/6421";
    Float64 Easternmost_Easting -41.9425;
    Float64 geospatial_lat_max 49.99273;
    Float64 geospatial_lat_min 33.629;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -41.9425;
    Float64 geospatial_lon_min -148.608;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-13T01:20:37Z (local files)
2024-11-13T01:20:37Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3766.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3766";
    String institution "BCO-DMO";
    String instruments_0_acronym "Reeve Net";
    String instruments_0_dataset_instrument_description "1 m diameter, 150 µm (in 2011) or 335 µm (in 2012) mesh Reeve net trawl";
    String instruments_0_dataset_instrument_nid "5853";
    String instruments_0_description 
"A Reeve Net is a conventional ring net with a very large acrylic cylindrical cod-end (30 liters) designed to collect fragile gelatinous animals. The net is lowered to a particular depth and then hauled slowly back to the surface (5-10 m/min). Reeve (1981) also described a double net system with no bridle and flotation at the net mouth that is attached to a roller mechanism that rides on a tow wire.
The roller system is locked in place by a pressure release device. Once below a set pressure, the roller
and nets are released and they float slowly up the wire, gently collecting the zooplankton, without being
influenced by the motion of the vessel and associated vertical wire movements. (from Wiebe and Benfield, 2003)";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0147/";
    String instruments_0_instrument_name "Reeve Net";
    String instruments_0_instrument_nid "443";
    String instruments_0_supplied_name "Reeve Net";
    String instruments_1_acronym "MOCNESS";
    String instruments_1_dataset_instrument_description "MOCNESS-1 m^2 wtih 150 micron mesh.";
    String instruments_1_dataset_instrument_nid "5852";
    String instruments_1_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton  Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974).(from MOCNESS manual)  This designation is used when the specific type of MOCNESS (number and size of nets) was not specified by the contributing investigator.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_1_instrument_name "MOCNESS";
    String instruments_1_instrument_nid "511";
    String instruments_1_supplied_name "MOCNESS";
    String instruments_2_acronym "O2 microsensor";
    String instruments_2_dataset_instrument_description "Clarke-type O2 electrode (#1302) and meter (#782) in a water-jacketed injection port (#MC100, Strathkelvin Instruments, North Lanarkshire, United Kingdom; Marsh and Manahan, 1999)";
    String instruments_2_dataset_instrument_nid "6116";
    String instruments_2_description "A miniaturized Clark-type dissolved oxygen instrument, including glass micro-sensors with minute tips (diameters ranging from 1 to 800 um). A gold or platinum sensing cathode is polarized against an internal reference and, driven by external partial pressure, oxygen from the environment penetrates through the sensor tip membrane and is reduced at the sensing cathode surface. A picoammeter converts the resulting reduction current to a signal. The size of the signal generated by the electrode is proportional to the flux of oxygen molecules to the cathode.The sensor also includes a polarized guard cathode, which scavenges oxygen in the electrolyte, thus minimizing zero-current and pre-polarization time.With the addition of a meter and a sample chamber, the respiration of a small specimen can be measured.  Example: Strathkelvin Inst. http://www.strathkelvin.com";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/351/";
    String instruments_2_instrument_name "Oxygen Microelectrode Sensor";
    String instruments_2_instrument_nid "701";
    String instruments_2_supplied_name "Oxygen Microelectrode Sensor";
    String keywords "bco, bco-dmo, biological, chemical, comments, comments_expt, control, cruise, cruise_id, data, dataset, date, date_local, dmo, elapsed, erddap, expt, latitude, local, longitude, management, O2, O2_control, O2_expt, O2_respiration, oceanography, office, oxygen, preliminary, rate, resp, resp_rate, respiration, sample, sample_volume, species, station, temperature, time, time_elapsed, tow, treatment, volume, weight, weight_g";
    String license "https://www.bco-dmo.org/dataset/3766/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3766";
    Float64 Northernmost_Northing 49.99273;
    String param_mapping "{'3766': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3766/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Gareth Lawson";
    String people_0_person_nid "51084";
    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 "Amy Maas";
    String people_1_person_nid "51589";
    String people_1_role "Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI";
    String people_2_person_name "Amy Maas";
    String people_2_person_nid "51589";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "OAPS";
    String projects_0_acronym "OAPS";
    String projects_0_description 
"Modified version of the NSF award abstract:
The impact of ocean acidification on marine ecosystems represents a vital question facing both marine scientists and managers of ocean resources. Thecosome pteropods are a group of calcareous planktonic molluscs widely distributed in coastal and open ocean pelagic ecosystems of the world¡¦s oceans. These animals secrete an aragonite shell, and thus are highly sensitive to ocean acidification due to the water column's changing carbonate chemistry, and particularly the shoaling of the aragonite compensation depth at which seawater becomes corrosive to aragonite. In many regions, however, relatively little is known about the abundance, distribution, vertical migratory behavior, and ecological importance of pteropods. Assessing the likely ecosystem consequences of changes in pteropod dynamics resulting from ocean acidification will require a detailed understanding of pteropod distribution and abundance relative to changing aragonite saturation in the water column.
The primary objective of this project is to quantify the distribution, abundance, species composition, shell condition, and vertical migratory behavior of oceanic thecosome pteropods in the northwest Atlantic and northeast Pacific, and correlate these quantities to hydrography and concurrent measurements of carbonate chemistry, including vertical and horizontal distributions of aragonite saturation. In particular, the project will capitalize on present-day variability in the depth distribution of aragonite saturation levels within and between the Atlantic and Pacific Oceans as a \"natural experiment\" to address the hypotheses that pteropod vertical distribution, species composition, and abundance vary as the compensation depth becomes shallower. Secondary objectives are to develop acoustic protocols for the remote quantification of pteropod abundance for future integration into ocean acidification monitoring networks, and to characterize carbonate chemistry and nutrients along portions of two WOCE/CLIVAR Repeat Hydrography transects (A20 in the Atlantic and P17N in the Pacific) to identify decadal-scale changes in the carbonate system. These hypotheses and objectives will be addressed through two cruises along survey transects between 35 and 50 degrees North in the northwest Atlantic and northeast Pacific involving a combination of station-work and underway measurements, and a comprehensive array of instruments, including acoustic, optical, towed net, hydrographic, and carbonate chemistry sensors and sampling systems.
This highly inter-disciplinary project, combines expertise in zooplankton ecology, acoustics, and marine chemistry. The proposed work will result in a detailed baseline understanding of variability in the horizontal and vertical distribution, as well as species composition, of thecosome pteropods in the northwest Atlantic and northeast Pacific, making a key contribution to zooplankton ecology generally. In addition, by quantifying the response to current spatial variability within and between the Atlantic and Pacific Oceans, the project will provide important information on the likely response of pteropod distribution to future changes in the vertical distribution of aragonite saturation levels, a necessary component in modeling the impacts of ocean acidification on marine ecosystem function, services, and resources.
Ocean acidification is increasingly appreciated as an urgent societal concern. Thecosome pteropods are key prey for a variety of commercially-exploited fish species, and the improved understanding the PIs seek of pteropod distribution and likely response to changing water column carbonate chemistry will have important implications for our understanding of potential effects of ocean acidification on marine resources.";
    String projects_0_end_date "2013-09";
    String projects_0_geolocation "35 and 50 degrees North in the northwest Atlantic and northeast Pacific";
    String projects_0_name "Horizontal and Vertical Distribution of Thecosome Pteropods in Relation to Carbonate Chemistry in the Northwest Atlantic and Northeast Pacific";
    String projects_0_project_nid "2154";
    String projects_0_start_date "2010-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 33.629;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Respiration rates of thecosome pteropod exposed to various O2 and CO2 concentrations";
    String title "[pteropod respiration] - Pteropod respiration rates from NW Atlantic and NE Pacific; OC473 (2011) and NH1208 (2012) (Horizontal and Vertical Distribution of Thecosome Pteropods in Relation to Carbonate Chemistry in the Northwest Atlantic and Northeast Pacific )";
    String version "2";
    Float64 Westernmost_Easting -148.608;
    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.


 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact