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Dataset Title:  Temperature, oxygen, pH, depth, and conductivity measured at 5 m depth at
Hopkins Marine Station from 18-April 2013 to 14-June 2013
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_707023)
Range: longitude = -121.9013 to -121.9013°E, latitude = 36.6203 to 36.6203°N, depth = 5.2 to 5.2m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  site {
    String bcodmo_name "site";
    String description "Name of the site";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 36.6203, 36.6203;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of the site; positive values = 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 -121.9013, -121.9013;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of the site; negative values = west";
    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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 5.2, 5.2;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Average depth at which measurements were made";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  ISO_DateTime_PDT {
    String bcodmo_name "ISO_DateTime_Local";
    String description "Date and time of measurement (Pacific Daylight Time, PDT) formatted to ISO8601 standard: yyyy-mm-ddTHH:MM:SS";
    String long_name "ISO Date Time PDT";
    String source_name "ISO_DateTime_PDT";
    String time_precision "1970-01-01T00:00:00Z";
    String units "unitless";
  }
  temp_pH_sensor {
    Float32 _FillValue NaN;
    Float32 actual_range 8.9, 27.37;
    String bcodmo_name "temperature";
    String description "Temperature measured by pH sensor";
    String long_name "Temp P H Sensor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  pH {
    Float32 _FillValue NaN;
    Float32 actual_range 5.93, 8.28;
    String bcodmo_name "pH";
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "pH (total pH scale)";
    String long_name "Sea Water Ph Reported On Total Scale";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "unitless";
  }
  cond_CTD {
    Float32 _FillValue NaN;
    Float32 actual_range 35.9928, 41.1284;
    String bcodmo_name "conductivity";
    String description "Conductivity measured by CTD";
    String long_name "Cond CTD";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "millisiemens per centimeter (mS/cm)";
  }
  temp_CTD {
    Float32 _FillValue NaN;
    Float32 actual_range 8.79, 14.7;
    String bcodmo_name "temperature";
    String description "Temperature measured by CTD";
    String long_name "Temp CTD";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  depth_CTD {
    Float32 _FillValue NaN;
    Float32 actual_range 3.75, 6.36;
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth measured by CTD";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String standard_name "depth";
    String units "meters";
  }
  oxygen {
    Float32 _FillValue NaN;
    Float32 actual_range 61.11, 479.71;
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen measured by Aanderra Oxygen Optode";
    String long_name "Oxygen";
    String units "micromoles O2 per liter (µmoles O2/liter)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"CTD (SeaBird model SeaCat 19Plus (SN 4210)) and pH sensor were
deployed\\u00a0at the KFA site, Hopkins Marine Station (average depth =
5m).\\u00a0Added sensors:\\u00a0  
 -- Aanderra Oxygen Optode (model 4835, SN223),  
 -- Digital to Analog Converter model 3966 A/D adapter,  
 -- pH datalogger:\\u00a0Honeywell Model 07777D-06 Durafet III in-line pH
electrode with Cap Adapter.";
    String awards_0_award_nid "559746";
    String awards_0_award_number "OCE-1416877";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1416877";
    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 
"Hopkins Marine Station (HMS) 5 meter hydrography 
 PI: James P. Barry (MBARI) 
 Co-PIs: G.A. De Leo (Stanford/HMS), C.B. Woodson (University of Georgia), & S.G. Monismith (Stanford) 
 Version: 28 June 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 "2017-06-28T18:19:32Z";
    String date_modified "2019-08-02T16:48:46Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.707023.1";
    Float64 Easternmost_Easting -121.9013;
    Float64 geospatial_lat_max 36.6203;
    Float64 geospatial_lat_min 36.6203;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -121.9013;
    Float64 geospatial_lon_min -121.9013;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5.2;
    Float64 geospatial_vertical_min 5.2;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-25T00:10:28Z (local files)
2024-04-25T00:10:28Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_707023.das";
    String infoUrl "https://www.bco-dmo.org/dataset/707023";
    String institution "BCO-DMO";
    String instruments_0_acronym "AOO";
    String instruments_0_dataset_instrument_description "Aanderra Oxygen Optode (model 4835, SN223)";
    String instruments_0_dataset_instrument_nid "707063";
    String instruments_0_description "Aanderaa Oxygen Optodes are instrument for monitoring oxygen in the environment. For instrument information see the Aanderaa Oxygen Optodes Product Brochure.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/351/";
    String instruments_0_instrument_name "Aanderaa Oxygen Optodes";
    String instruments_0_instrument_nid "563";
    String instruments_0_supplied_name "Aanderra Oxygen Optode (model 4835, SN223)";
    String instruments_1_acronym "pH Sensor";
    String instruments_1_dataset_instrument_description "pH datalogger:  Honeywell Model 07777D-06 Durafet III in-line pH electrode with Cap Adapter";
    String instruments_1_dataset_instrument_nid "707064";
    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 "Honeywell Model 07777D-06 Durafet III";
    String instruments_2_acronym "Sea-Bird SEACAT 19 Plus";
    String instruments_2_dataset_instrument_description "CTD:  SeaBird model SeaCat 19Plus (SN 4210)";
    String instruments_2_dataset_instrument_nid "707062";
    String instruments_2_description "Self contained self powered CTD profiler. Measures conductivity, temperature and pressure in both profiling (samples at 4 scans/sec) and moored (sample rates of once every 5 seconds to once every 9 hours) mode. Available in plastic or titanium housing with depth ranges of 600m and 7000m respectively. Minature submersible pump provides water to conductivity cell.";
    String instruments_2_instrument_name "CTD Sea-Bird SBE SEACAT 19plus";
    String instruments_2_instrument_nid "616065";
    String instruments_2_supplied_name "SeaBird model SeaCat 19Plus (SN 4210)";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, cond, cond_CTD, conductivity, ctd, data, dataset, date, depth, depth_avg, depth_CTD, dmo, earth, Earth Science > Oceans > Ocean Chemistry > pH, erddap, iso, latitude, longitude, management, O2, ocean, oceanography, oceans, office, oxygen, pdt, preliminary, reported, scale, science, sea, sea_water_ph_reported_on_total_scale, seawater, sensor, site, sonde, temp_CTD, temp_pH_sensor, temperature, time, total, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/707023/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/707023";
    Float64 Northernmost_Northing 36.6203;
    String param_mapping "{'707023': {'lat': 'master - latitude', 'lon': 'master - longitude', 'depth_avg': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/707023/parameters";
    String people_0_affiliation "Monterey Bay Aquarium Research Institute";
    String people_0_affiliation_acronym "MBARI";
    String people_0_person_name "James P. Barry";
    String people_0_person_nid "559750";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Stanford University - Hopkins";
    String people_1_affiliation_acronym "Stanford-HMS";
    String people_1_person_name "Giulio Alessandro De Leo";
    String people_1_person_nid "559929";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Stanford University";
    String people_2_person_name "Stephen G. Monismith";
    String people_2_person_nid "559932";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Georgia";
    String people_3_affiliation_acronym "UGA";
    String people_3_person_name "Clifton Brock Woodson";
    String people_3_person_nid "559923";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Shannon Rauch";
    String people_4_person_nid "51498";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "CA Current MS Abpop";
    String projects_0_acronym "CA Current MS Abpop";
    String projects_0_description 
"Ocean acidification is increasingly recognized as a significant driver of change in marine ecosystems. In particular, ecosystems in eastern boundary current systems, including the California Current Large Marine Ecosystem (CCLME), routinely experience upwelling driven low pH, low dissolved oxygen (DO) waters in shallow near shore habitats, and these occurrences have been increasing in magnitude and duration over the past decade.
The goal of this project is to study the consequences of ocean acidification and other climate-related changes (dissolved oxygen(DO), temperature) in oceanographic conditions on near shore marine communities over a large scale oceanographic gradient in the CCLME. Understanding how the effects of ocean acidification combined with other climate-related changes on individual marine organisms or life stages will cascade to populations and the services they provide is a high priority for science, management, and policy. By integrating the results of oceanographic field measurements and laboratory experiments in a demographic and bio-economic modeling framework, the present project will advance our understanding of the role of oceanographic variability on the dynamics of marine populations and fisheries. In particular, this research will provide key insights regarding the interactive influences of simultaneous changes in pH, DO, and temperature on nearshore populations and fisheries. By investigating the effects of multiple stressors on coastal marine ecosystems, the project will allow us to better anticipate possible ecological and fishery impacts of increasing frequency and/or intensity of low pH and low DO events. A deeper understanding of the linkages among ocean acidification, coastal oceanographic processes and the health of nearshore marine ecosystems in the CCLME will inform adaptation strategies for future ocean conditions. 

The research program will implement a novel individual- to population-level approach to specifically investigate how the direct effects of ocean acidification, alone or in combination with low DO and temperature, on two model species of great ecological and commercial relevance, red and pink abalone, will manifest at the population level, and ultimately, the services these species provide to humans. Researchers will: 1) measure and characterize the temporal variability of pH, DO and temperature in nearshore abalone habitat in Monterey Bay, Central California, and Isla Natividad, Mexico, particularly in relation to the duration and intensity of extreme low pH, low DO events, under alternative scenarios of future climate change, 2) conduct laboratory experiments to investigate the effects of low pH, low DO conditions on the reproductive success, growth, calcification, and survival of juvenile red and pink abalone, and 3) develop demographic and bio-economic models to estimate the impacts of environmental and local anthropogenic stressors on the resilience of abalone populations and to assess what management and conservation strategies, including the implementation of networks of marine reserves, may contribute to buffering the negative effects of increased frequency and/or intensity of low pH and low DO events expected under near-future climate scenarios.";
    String projects_0_end_date "2017-06";
    String projects_0_geolocation "Southern Monterey Bay, CA, USA: 36.6205 N, 121.9045 W; Isla Natividad, Mexico: 27.8758 N, 115.1847 W";
    String projects_0_name "Ocean Acidification: Collaborative Research: Interactive effects of acidification, low dissolved oxygen and temperature on abalone population dynamics within the California Current";
    String projects_0_project_nid "559747";
    String projects_0_start_date "2014-07";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.6203;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "site,latitude,longitude";
    String summary "oxygen, pH, depth, and conductivity measured at 5 m depth at Hopkins Marine Station from 18-April 2013 to 14-June 2013.";
    String title "Temperature, oxygen, pH, depth, and conductivity measured at 5 m depth at Hopkins Marine Station from 18-April 2013 to 14-June 2013";
    String version "1";
    Float64 Westernmost_Easting -121.9013;
    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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