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Northwest Environmental Moorings ERDDAP
Access To Puget Sound Mooring Data |
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| ![]() Brought to you by NOAA WOAC NANOOS IOOS |
Dataset Title: | NEMO Subsurface (NEMO-SS) McLane Moored Profiler (MMP) CTD - Realtime
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Institution: | Northwest Environmental Moorings Group at University of Washington - Applied Physical Laboratory (Dataset ID: nemo-ss_mmp-ctd_nrt) |
Information: | Summary ![]() ![]() ![]() |
Time range:
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Attributes { time { String _CoordinateAxisType "Time"; Float64 actual_range 1.683173939999999e+9, 1.7477997500000048e+9; String axis "T"; String calendar "gregorian"; String description "Start time of the profile, based on number of seconds since the defined reference time."; String ioos_category "Time"; String long_name "Time"; String standard_name "time"; String time_origin "01-JAN-1970 00:00:00"; String timezone "UTC"; String units "seconds since 1970-01-01T00:00:00Z"; } depth { String _CoordinateAxisType "Height"; String _CoordinateZisPositive "down"; Float64 actual_range 0.0, 100.0; String axis "Z"; String description "Z-coordinate of observation in vertical distance below reference. Down is positive. (reference is sea surface)"; String ioos_category "Location"; String long_name "Depth"; String positive "down"; String standard_name "depth"; String units "m"; } profile_num { String cf_role "profile_id"; String ioos_category "Identifier"; String long_name "profile number"; Int32 missing_value -555; String units "--"; } sample_time { String calendar "gregorian"; String description "Time of observation based on number of seconds since the defined reference time."; String ioos_category "Time"; String long_name "Sample Time"; String time_origin "01-JAN-1970 00:00:00"; String timezone "UTC"; String units "seconds since 1970-01-01T00:00:00Z"; } sea_water_electrical_conductivity { String ancillary_variables "sea_water_electrical_conductivity_qc_agg"; Float64 colorBarMaximum 4.0; Float64 colorBarMinimum 3.0; String description "Ability to pass electrical current. In water, it is a proxy from which to derive salinity."; String ioos_category "Salinity"; String long_name "Sea Water Electrical Conductivity"; Float64 missing_value -555.0; String standard_name "sea_water_electrical_conductivity"; String units "S/m"; } sea_water_temperature { String ancillary_variables "sea_water_temperature_qc_agg"; Float64 colorBarMaximum 15.0; Float64 colorBarMinimum 5.0; String description "In-situ temperature of water (T90 scale)"; String ioos_category "Temperature"; String long_name "Sea Water Temperature"; Float64 missing_value -555.0; String standard_name "sea_water_temperature"; String units "degree_C"; } sea_water_practical_salinity { String ancillary_variables "sea_water_practical_salinity_qc_agg"; Float64 colorBarMaximum 34.0; Float64 colorBarMinimum 31.0; String description "Salinity is to the salt content of a water sample or body of water. The measure of salt content of a water sample follows UNESCO standards known as the Practical Salinity Scale (PSS) as the conductivity ratio of a sea water sample to a standard KCl solution. PSS is a ratio and has no units."; String ioos_category "Salinity"; String long_name "Sea Water Practical Salinity"; Float64 missing_value -555.0; String references "UNESCO 1983 - Conductivity Ratio to Salinity Conversion"; String standard_name "sea_water_practical_salinity"; String units "PSU"; } sea_water_sigma_theta { String ancillary_variables "sea_water_sigma_theta_qc_agg"; Float64 colorBarMaximum 28.0; Float64 colorBarMinimum 23.0; String description "Potential density, referenced to 0 dbar, offset by 1000 kg * m^-3 (sigma-0)."; String ioos_category "Physical Oceanography"; String long_name "Sea Water Sigma Theta"; Float64 missing_value -555.0; String references "UNESCO 1983 - EOS-80 (International Equation of State of Seawater)"; String standard_name "sea_water_sigma_theta"; String units "kg * m-3 - 1000"; } mass_concentration_of_oxygen_in_sea_water { String ancillary_variables "mass_concentration_of_oxygen_in_sea_water_qc_agg"; Float64 colorBarMaximum 12.0; Float64 colorBarMinimum 0.0; String description "Concentration of dissolved oxygen in water"; String ioos_category "Dissolved O2"; String long_name "Mass Concentration Of Oxygen In Sea Water"; Float64 missing_value -555.0; String standard_name "mass_concentration_of_oxygen_in_sea_water"; String units "mg * L^-1"; } fractional_saturation_of_oxygen_in_sea_water { Float64 colorBarMaximum 100.0; Float64 colorBarMinimum 0.0; String description "Concentration of dissolved oxygen in water, as a percentage of the concentration of dissolved oxygen in water at saturation. Dissolved oxygen saturation is the concentration of dissolved oxygen at saturation levels at the same temperature and salinity in a water sample."; String ioos_category "Dissolved O2"; String long_name "Fractional Saturation Of Oxygen In Sea Water"; Float64 missing_value -555.0; String standard_name "fractional_saturation_of_oxygen_in_sea_water"; String units "percent (percent)"; } sea_water_pressure { Float64 colorBarMaximum 100.0; Float64 colorBarMinimum 0.0; String description "Pressure exerted by overlying water, excluding air pressure."; String ioos_category "Pressure"; String long_name "Sea Water Pressure"; Float64 missing_value -555.0; String standard_name "sea_water_pressure"; String units "dbar"; } speed_of_sound_in_sea_water { Float64 colorBarMaximum 1490.0; Float64 colorBarMinimum 1475.0; String description "Speed of sound in sea water; speed is the magnitude of velocity."; String ioos_category "Pressure"; String long_name "Sound speed in sea water"; Float64 missing_value -555.0; String standard_name "speed_of_sound_in_sea_water"; String units "m * s^-1"; } NC_GLOBAL { String cdm_data_type "TimeSeriesProfile"; String cdm_profile_variables "cast_num"; String cdm_timeseries_variables "buoy_name, longitude, latitude"; String citation "University of Washington NEMO Mooring Data, 2010-2025; https://nwem.apl.washington.edu/, enabled by the Northwest Association of Networked Ocean Observing Systems (NANOOS, https://www.nanoos.org)"; String contributor_email "setht1@uw.edu, mickett@uw.edu, manalang@uw.edu"; String contributor_name "Seth Travis, John Mickett"; String contributor_role "collaborator, principalInvestigator"; String contributor_role_vocabulary "https://vocab.nerc.ac.uk/collection/G04/current/"; String contributor_url "https://nwem.apl.washington.edu/, https//www.nanoos.org/, https://nwem.apl.washington.edu/"; String Conventions "COARDS, CF-1.10, ACDD-1.3"; String create_state "WA"; String creator_address "Henderson Hall, 1013 NE 40th Street, Seattle, WA 98105"; String creator_city "Seattle"; String creator_country "USA"; String creator_email "setht1 at uw.edu"; String creator_institution "Applied Physics Lab - University of Washington (APL-UW)"; String creator_name "Seth Travis"; String creator_postalcode "98105"; String creator_sector "academic"; String creator_type "person"; String creator_url "https://nwem.apl.washington.edu/"; String defaultDataQuery "sea_water_temperature[last-60:last][0:last],sea_water_practical_salinity[last-60:last][0:last],sea_water_sigma_theta[last-60:last][0:last],mass_concentration_of_oxygen_in_sea_water[last-60:last][0:last]"; String defaultGraphQuery "sea_water_temperature[last-60:last][0:last]&.draw=surface&.vars=time|depth|sea_water_temperature&.yRange=0|100|false"; String description "NEMO Subsurface (NEMO-SS) McLane Moored Profiler (MMP) CTD - Realtime"; String featureType "TimeSeriesProfile"; String gts_ingest "false"; String history "2025-May-16 06:38:57: Generate gridded data 2025-May-16 02:38:50: Generate gridded data 2025-May-16 00:38:47: Generate gridded data 2025-May-15 18:39:02: Generate gridded data 2025-May-15 14:38:53: Generate gridded data 2025-May-15 10:38:53: Generate gridded data 2025-May-15 08:38:59: Generate gridded data 2025-May-15 02:38:08: Generate gridded data 2025-May-14 20:39:23: Generate gridded data 2025-May-14 14:38:46: Generate gridded data 2025-May-14 06:38:45: Generate gridded data 2025-May-14 04:38:52: Generate gridded data 2025-May-14 00:38:57: Generate gridded data 2025-May-13 20:38:58: Generate gridded data 2025-May-13 18:38:59: Generate gridded data 2025-May-13 10:38:37: Generate gridded data 2025-May-13 02:38:55: Generate gridded data 2025-May-12 22:38:35: Generate gridded data 2025-May-12 18:38:34: Generate gridded data 2025-May-12 16:38:57: Generate gridded data 2025-May-12 12:38:36: Generate gridded data 2025-May-12 08:38:32: Generate gridded data 2025-May-12 02:38:56: Generate gridded data 2025-May-11 22:38:29: Generate gridded data 2025-May-11 18:38:30: Generate gridded data 2025-May-11 16:38:32: Generate gridded data 2025-May-11 10:38:30: Generate gridded data 2025-May-11 08:38:31: Generate gridded data 2025-May-10 20:38:24: Generate gridded data 2025-May-10 16:38:54: Generate gridded data 2025-May-10 12:38:30: Generate gridded data 2025-May-10 06:38:25: Generate gridded data 2025-May-10 04:38:26: Generate gridded data 2025-May-09 20:38:44: Generate gridded data 2025-May-09 16:38:26: Generate gridded data 2025-May-09 06:38:43: Generate gridded data 2025-May-09 04:38:27: Generate gridded data 2025-May-08 22:38:19: Generate gridded data 2025-May-08 20:38:23: Generate gridded data 2025-May-08 08:38:09: Generate gridded data 2025-May-08 02:38:18: Generate gridded data 2025-May-07 16:38:36: Generate gridded data 2025-May-07 12:38:21: Generate gridded data 2025-May-07 00:37:46: Generate gridded data 2025-May-06 18:42:44: Generate gridded data 2025-May-06 14:42:14: Generate gridded data 2025-May-06 12:42:21: Generate gridded data 2025-May-06 06:42:21: Generate gridded data 2025-May-06 04:42:28: Generate gridded data 2025-May-05 22:42:22: Generate gridded data 2025-May-05 20:42:12: Generate gridded data 2025-May-05 14:44:46: Generate gridded data 2025-May-05 10:44:30: Generate gridded data 2025-May-05 04:43:58: Generate gridded data 2025-May-04 22:44:41: Generate gridded data 2025-May-04 18:44:00: Generate gridded data 2025-May-04 14:43:47: Generate gridded data 2025-May-04 12:44:22: Generate gridded data 2025-May-04 06:45:16: Generate gridded data 2025-May-04 04:44:09: Generate gridded data 2025-May-03 22:44:19: Generate gridded data 2025-May-03 20:43:42: Generate gridded data 2025-May-03 14:44:52: Generate gridded data 2025-May-03 12:47:08: Generate gridded data 2025-May-03 02:43:44: Generate gridded data 2025-May-03 00:45:14: Generate gridded data 2025-May-02 20:46:10: Generate gridded data 2025-May-02 16:44:06: Generate gridded data 2025-May-02 10:44:02: Generate gridded data 2025-May-02 06:45:06: Generate gridded data 2025-May-02 02:43:37: Generate gridded data 2025-May-01 22:25:40: Generate gridded data 2025-May-01 18:44:26: Generate gridded data 2025-May-01 16:44:02: Generate gridded data 2025-May-01 12:40:32: Generate gridded data 2025-May-01 08:40:07: Generate gridded data 2025-May-01 04:40:08: Generate gridded data 2025-Apr-30 22:40:31: Generate gridded data 2025-Apr-30 18:40:36: Generate gridded data 2025-Apr-30 12:40:48: Generate gridded data 2025-Apr-30 06:40:37: Generate gridded data 2025-Apr-30 04:40:36: Generate gridded data 2025-Apr-29 22:40:25: Generate gridded data 2025-Apr-29 20:40:22: Generate gridded data 2025-Apr-29 12:40:18: Generate gridded data 2025-Apr-29 08:40:46: Generate gridded data 2025-Apr-29 04:40:21: Generate gridded data 2025-Apr-28 22:40:58: Generate gridded data 2025-Apr-28 18:40:33: Generate gridded data 2025-Apr-28 14:40:17: Generate gridded data 2025-Apr-28 10:39:52: Generate gridded data 2025-Apr-28 08:40:13: Generate gridded data 2025-Apr-28 04:39:50: Generate gridded data 2025-Apr-27 22:39:56: Generate gridded data 2025-Apr-27 20:40:21: Generate gridded data 2025-Apr-27 18:39:40: Generate gridded data 2025-Apr-27 08:39:38: Generate gridded data 2025-Apr-27 02:39:39: Generate gridded data 2025-Apr-27 00:39:39: Generate gridded data 2025-Apr-26 20:39:21: Generate gridded data 2025-Apr-26 14:39:03: Generate gridded data 2025-Apr-26 02:37:55: Generate gridded data 2025-Apr-25 18:37:28: Generate gridded data 2025-Apr-25 14:50:37: Generate gridded data 2025-Apr-25 14:37:33: Generate gridded data 2025-Apr-25 13:18:35: Generate gridded data 2025-Apr-25 13:17:13: Generate gridded data 2025-Apr-25 12:37:43: Generate gridded data 2025-Apr-25 10:37:38: Generate gridded data 2025-Apr-25 09:18:04: Generate gridded data 2025-Apr-25 09:16:26: Generate gridded data 2025-Apr-25 09:15:59: Generate gridded data 2025-Apr-24 22:33:33: Generate gridded data 2025-Apr-24 22:31:30: Generate gridded data 2025-Apr-24 22:30:57: Generate gridded data 2025-Apr-24 22:29:01: Generate gridded data 2025-Apr-24 22:25:02: Generate gridded data 2025-Apr-24 22:12:14: Generate gridded data 2025-05-21T08:13:32Z (local files) 2025-05-21T08:13:32Z http://nwem.apl.washington.edu/griddap/nemo-ss_mmp-ctd_nrt.das"; String infoUrl "https://nwem.apl.washington.edu/"; String institution "Northwest Environmental Moorings Group at University of Washington - Applied Physical Laboratory"; String keywords "applied, chemistry, concentration, conductivity, ctd, data, density, depth, dissolved, dissolved o2, earth, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Ocean Pressure > Water Pressure, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Conductivity, Earth Science > Oceans > Salinity/Density > Density, Earth Science > Oceans > Salinity/Density > Salinity, electrical, environmental, fractional, fractional_saturation_of_oxygen_in_sea_water, group, identifier, laboratory, mass, mass_concentration_of_oxygen_in_sea_water, mclane, mmp, moored, moorings, nemo, nemo-ss, northwest, number, O2, ocean, oceanography, oceans, oxygen, physical, physical oceanography, practical, pressure, profile, profile_num, profiler, realtime, salinity, sample, sample_time, saturation, science, sea, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_pressure, sea_water_sigma_theta, sea_water_temperature, seawater, sigma, sonde, subsurface, temperature, theta, time, university, washington, water"; String keywords_vocabulary "GCMD Science Keywords"; String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information."; String modification_date "2025-May-16 06:38:57"; String publisher_address "Henderson Hall, 1013 NE 40th Street, Seattle, WA 98105"; String publisher_city "Seattle"; String publisher_country "USA"; String publisher_email "setht1 at uw.edu"; String publisher_institution "Applied Physics Lab - University of Washington (APL-UW)"; String publisher_name "Seth Travis"; String publisher_postalcode "98105"; String publisher_sector "academic"; String publisher_state "WA"; String publisher_type "person"; String publisher_url "https://nwem.apl.washington.edu/"; String references "UNESCO 1983 - Algorithms for computation of fundamental properties of seawater; https://unesdoc.unesco.org/ark:/48223/pf0000059832_eng"; String ror "https://ror.org/01a258x16"; String sourceUrl "(local files)"; String standard_name_vocabulary "CF Standard Name Table v70"; String summary "Data from the NEMO Subsurface (NEMO-SS) mooring, with a McLane Moored Profiler (MMP) Conductivity, Temperature, Depth (CTD). This data is collected and transmitted in near-realtime. No QA/QC is performed on this data."; String testOutOfDate "now-1day"; String time_coverage_end "2025-05-21T03:55:50Z"; String time_coverage_start "2023-05-04T04:19:00Z"; String title "NEMO Subsurface (NEMO-SS) McLane Moored Profiler (MMP) CTD - Realtime"; } }
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.
griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst),
followed by [(start):stride:(stop)]
(or a shorter variation of that) for each of the variable's dimensions
(for example, [time][latitude][longitude]).
For details, see the griddap Documentation.