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Dataset Title:  Temperature, pH, DO, and salinity data from Mumford Cove, Connecticut, USA
from 2015-2020
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_659874)
Range: longitude = -72.02088 to -72.02088°E, latitude = 41.32526 to 41.32526°N, depth = 0.83 to 4.25m
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

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  location {
    String bcodmo_name "site";
    String description "Location where measurments were taken";
    String long_name "Location";
    String units "unitless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.32526111, 41.32526111;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    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 -72.02088, -72.02088;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    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";
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2015, 2020;
    String bcodmo_name "year";
    String description "Year of sampling; format: yyyy";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  dataset {
    String bcodmo_name "file_name";
    String description "Original dataset file name; monitoringMC_01 = submission 1; monitoringMC_02 = submission 2";
    String long_name "Dataset";
    String units "unt";
  probe_serialNum {
    Int32 _FillValue 2147483647;
    Int32 actual_range 3151818, 31522273;
    String bcodmo_name "instrument";
    String description "Serial number of the sampling probe";
    String long_name "Probe Serial Num";
    String units "unitless";
  date {
    String bcodmo_name "date";
    String description "Date that samples were taken; format: yyyy-mm-dd";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  time2 {
    String bcodmo_name "time";
    String description "Time that samples were taken (Eastern Standard Time); format: HH:MM or HH:MM:SS";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range -1.69, 29.02;
    String bcodmo_name "temperature";
    String description "Water temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  pH {
    Float64 _FillValue NaN;
    Float64 actual_range 7.4, 9.11;
    String bcodmo_name "pH";
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "pH; NIST calibrated with three point NIST calibration buffers (4.00; 7.00; 10.00)";
    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";
  conductivity {
    Int32 _FillValue 2147483647;
    Int32 actual_range 9613, 100800;
    String bcodmo_name "conductivity";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    String description "Specific conductivity; Calibrated with FisherScientific Conductivity standard 50,000 µS/cm";
    String long_name "Sea Water Electrical Conductivity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "uS/cm";
  HDO_mgL {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 21.03;
    String bcodmo_name "Dissolved_Oxygen";
    String description "Dissolved oxygen saturation; calibrated using 100% air-saturated water";
    String long_name "HDO Mg L";
    String units "milligrams per liter (mg/L)";
  HDO_percentSat {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 214.2;
    String bcodmo_name "O2_sat_pcnt";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Dissolved oxygen percent saturation; calibrated using 100% air-saturated water";
    String long_name "HDO Percent Sat";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OXYSZZ01/";
    String units "unitless (percent)";
  pH_mV {
    Float32 _FillValue NaN;
    Float32 actual_range -195.3, 15.5;
    String bcodmo_name "pH";
    String description "Voltage from pH";
    String long_name "P H M V";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "millivolts (mV)";
  salinity {
    Float64 _FillValue NaN;
    Float64 actual_range 25.03, 34.85;
    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 "PSS";
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.83, 4.25;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth where measurement was taken; earlier measurement did not have a depth sensor, which was later refitted to all probes. Note that the sensor position ~0.5m above bottom did not change";
    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_EST {
    String bcodmo_name "ISO_DateTime_Local";
    String description "Date and time of sampling (EST/EDT); formatted to ISO 8601 standard: yyyy-mm-ddTHH:MM. Before each deployment, the probe clock is synchronized with the lab clock (local time zone of EST/EDT).";
    String long_name "ISO Date Time EST";
    String source_name "ISO_DateTime_EST";
    String time_precision "1970-01-01T00:00Z";
    String units "unitless";
  comments {
    String bcodmo_name "comment";
    String description "Comments/notes";
    String long_name "Comments";
    String units "unitless";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"All measurements were made with Eureka Manta Sub2 probes
([www.waterprobes.com](\\\\\"http://www.waterprobes.com\\\\\")). The measurement
interval was 30 minutes. All measurements were made in Mumford Cove, CT, ~
0.5m above sandy bottom. Deployment time of each sensor varied between 3-6
weeks, all probes were calibrated prior to deployment for salinity, pH, 100%
air-saturated water oxygen. The probe was attached to a local subsurface buoy.
pH: calibrated with 3-point, NIST certified buffers, accuracy +/- 0.1,
precision: 0.01, automatic temperature correction  
Optically Measured Dissolved Oxygen (HDO): calibrated with 100% air-saturated
Salinity: Calibrated with FisherScientific Conductivity standard 50,000 uS/cm";
    String awards_0_award_nid "650183";
    String awards_0_award_number "OCE-1536336";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536336";
    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 
"Monitoring Data from Mumford Cove, CT 
  PI: Hannes Baumann (University of Connecticut) 
  Version history: 
   2020-March-20 (current) - version 2; appended data from 30-Aug-2016 to 04-Feb-2020. 
   2016-Sept-27 - version 1; included data from 14-Apr-2015 to 25-Aug-2016. 
  NOTE: This is a LARGE dataset that may take some time to fully load in the browser.";
    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 "2016-09-27T20:08:38Z";
    String date_modified "2020-03-25T13:58:08Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.659874.2";
    Float64 Easternmost_Easting -72.02088;
    Float64 geospatial_lat_max 41.32526111;
    Float64 geospatial_lat_min 41.32526111;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -72.02088;
    Float64 geospatial_lon_min -72.02088;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4.25;
    Float64 geospatial_vertical_min 0.83;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-09-25T07:20:11Z (local files)
2022-09-25T07:20:11Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_659874.das";
    String infoUrl "https://www.bco-dmo.org/dataset/659874";
    String institution "BCO-DMO";
    String instruments_0_acronym "Water Quality Multiprobe";
    String instruments_0_dataset_instrument_description "Took data on temperature, pH, DO, and salinity";
    String instruments_0_dataset_instrument_nid "659891";
    String instruments_0_description "An instrument which measures multiple water quality parameters based on the sensor configuration.";
    String instruments_0_instrument_name "Water Quality Multiprobe";
    String instruments_0_instrument_nid "678";
    String instruments_0_supplied_name "Eureka Manta Sub2 probe";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, comments, conductivity, data, dataset, date, density, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Salinity/Density > Conductivity, Earth Science > Oceans > Salinity/Density > Salinity, electrical, erddap, est, hdo, HDO_mgL, HDO_percentSat, iso, latitude, longitude, management, num, ocean, oceanography, oceans, office, percent, pH_mV, practical, preliminary, probe, probe_serialNum, reported, salinity, sat, scale, science, sea, sea_water_electrical_conductivity, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, seawater, serial, temperature, time, time2, total, v, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/659874/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/659874";
    Float64 Northernmost_Northing 41.32526111;
    String param_mapping "{'659874': {'lat': 'flag - latitude', 'depth': 'flag - depth', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/659874/parameters";
    String people_0_affiliation "University of Connecticut";
    String people_0_affiliation_acronym "UConn";
    String people_0_person_name "Hannes Baumann";
    String people_0_person_nid "528586";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Connecticut";
    String people_1_affiliation_acronym "UConn";
    String people_1_person_name "Hannes Baumann";
    String people_1_person_nid "528586";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Hannah Ake";
    String people_2_person_nid "650173";
    String people_2_role "BCO-DMO Data Manager";
    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 "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "HYPOA";
    String projects_0_acronym "HYPOA";
    String projects_0_description 
"Description from NSF award abstract:
Coastal marine ecosystems provide a number of important services and resources for humans, and at the same time, coastal waters are subject to environmental stressors such as increases in ocean acidification and reductions in dissolved oxygen. The effects of these stressors on coastal marine organisms remain poorly understood because most research to date has examined the sensitivity of species to one factor, but not to more than one in combination. This project will determine how a model fish species, the Atlantic silverside, will respond to observed and predicted levels of dissolved carbon dioxide (CO2) and oxygen (O2). Shorter-term experiments will measure embryo and larval survival, growth, and metabolism, and determine whether parents experiencing stressful conditions produce more robust offspring. Longer-term experiments will study the consequences of ocean acidification over the entire life span by quantifying the effects of high-CO2 conditions on the ratio of males to females, lifetime growth, and reproductive investment. These studies will provide a more comprehensive view of how multiple stressors may impact populations of Atlantic silversides and potentially other important forage fish species. This collaborative project will support and train three graduate students at the University of Connecticut and the Stony Brook University (NY), two institutions that attract students from minority groups. It will also provide a variety of opportunities for undergraduates to participate in research and the public to learn about the study, through summer research projects, incorporation in the \"Women in Science and Engineering\" program, and interactive displays of environmental data from monitoring buoys. The two early-career investigators are committed to increasing ocean literacy and awareness of NSF-funded research through public talks and presentations.
This project responds to the recognized need for multi-stressor assessments of species sensitivities to anthropogenic environmental change. It will combine environmental monitoring with advanced experimental approaches to characterize early and whole life consequences of acidification and hypoxia in the Atlantic silverside (Menidia menidia), a valued model species and important forage fish along most of the US east coast. Experiments will employ a newly constructed, computer-controlled fish rearing system to allow independent and combined manipulation of seawater pCO2 and dissolved oxygen (DO) content and the application of static and fluctuating pCO2 and DO levels that were chosen to represent contemporary and potential future scenarios in productive coastal habitats. First CO2, DO, and CO2 × DO dependent reaction norms will be quantified for fitness-relevant early life history (ELH) traits including pre- and post-hatch survival, time to hatch, post-hatch growth, by rearing offspring collected from wild adults from fertilization to 20 days post hatch (dph) using a full factorial design of 3 CO2 × 3 DO levels. Second, the effects of tidal and diel CO2 × DO fluctuations of different amplitudes on silverside ELH traits will be quantified. To address knowledge gaps regarding the CO2-sensitivity in this species, laboratory manipulations of adult spawner environments and reciprocal offspring exposure experiments will elucidate the role of transgenerational plasticity as a potential short-term mechanism to cope with changing environments. To better understand the mechanisms of fish early life CO2-sensitivity, the effects of temperature × CO2 on pre- and post-hatch metabolism will be robustly quantified. The final objective is to rear silversides from fertilization to maturity under different CO2 levels and assess potential CO2-effects on sex ratio and whole life growth and fecundity.
Related references:
Gobler, C.J. and Baumann, H. (2016) Hypoxia and acidification in ocean ecosystems: Coupled dynamics and effects on marine life. Biology Letters 12:20150976. doi:10.1098/rsbl.2015.0976
Baumann, H. (2016) Combined effects of ocean acidification, warming, and hypoxia on marine organisms. Limnology and Oceanography e-Lectures 6:1-43. doi:10.1002/loe2.10002
Depasquale, E., Baumann, H., and Gobler, C.J. (2015) Variation in early life stage vulnerability among Northwest Atlantic estuarine forage fish to ocean acidification and low oxygen Marine Ecology Progress Series 523: 145–156.doi:10.3354/meps11142";
    String projects_0_end_date "2018-11";
    String projects_0_geolocation "Eastern Long Island Sound, CT, USA";
    String projects_0_name "Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish";
    String projects_0_project_nid "650184";
    String projects_0_start_date "2015-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.32526111;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "location,latitude,longitude";
    String summary "Despite their importance for research and environmental protection, there's still a shortage of high quality and high-resolution temperature, pH, and oxygen data particularly in shallow coastal habitats. We monitor five important environmental parameters (i.e., depth, temperature, salinity, pH, and dissolved oxygen) at 30 minute intervals in Mumford Cove, CT (41 degrees 19'25\\N, 72 degrees 01'07\\W), a small (2 km N-S \\u00d7 0.5 km E-W), shallow (1-5m), cone-shaped embayment opening to northeastern Long Island Sound, with protected marsh habitat along its western side, marsh and beach habitat along its eastern side, and an extensive seagrass (Zostera marina) cover. Continuous monitoring is achieved by swapping identical and recalibrated probes (Eureka Manta Sub2) every 3-5 weeks.";
    String title "Temperature, pH, DO, and salinity data from Mumford Cove, Connecticut, USA from 2015-2020";
    String version "2";
    Float64 Westernmost_Easting -72.02088;
    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
For example,
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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