griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland10.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland10 https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland10.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonIsland10_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonIsland10_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-BretonIsland10/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonIsland10.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonIsland10&showErrors=false&email= U.S. Geological Survey wind-BretonIsland10
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland20.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland20 https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland20.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonIsland20_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonIsland20_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-BretonIsland20/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonIsland20.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonIsland20&showErrors=false&email= U.S. Geological Survey wind-BretonIsland20
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland5.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland5 https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland5.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonIsland5_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonIsland5_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-BretonIsland5/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonIsland5.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonIsland5&showErrors=false&email= U.S. Geological Survey wind-BretonIsland5
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonSound5.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonSound5 https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonSound5.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonSound5_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonSound5_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-BretonSound5/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonSound5.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonSound5&showErrors=false&email= U.S. Geological Survey wind-BretonSound5
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-Dorado.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-Dorado https://geoport.usgs.esipfed.org/erddap/tabledap/wind-Dorado.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-Dorado_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-Dorado_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-Dorado/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-Dorado.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-Dorado&showErrors=false&email= U.S. Geological Survey wind-Dorado
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-IslaVerde.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-IslaVerde https://geoport.usgs.esipfed.org/erddap/tabledap/wind-IslaVerde.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-IslaVerde_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-IslaVerde_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-IslaVerde/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-IslaVerde.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-IslaVerde&showErrors=false&email= U.S. Geological Survey wind-IslaVerde
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-MadBeach.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-MadBeach https://geoport.usgs.esipfed.org/erddap/tabledap/wind-MadBeach.graph STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) speed direction seasurfaceId (Seasurface Id) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-MadBeach_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-MadBeach_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-MadBeach/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-MadBeach.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-MadBeach&showErrors=false&email= U.S. Geological Survey wind-MadBeach
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-gri.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-gri https://geoport.usgs.esipfed.org/erddap/tabledap/wind-gri.graph https://geoport.usgs.esipfed.org/erddap/files/wind-gri/ Grizzly Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. Grizzly Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) boardbatt (Logger board battery voltage, V) boardtemp (Logger board temperature, degree_C) signalpct (Cellular signal strength, percent) Dm (Wind From Direction, degree) Sm (Wind Speed, m s-1) Pa (Air Pressure, Pa) Ta (Air Temperature, degree_C) Ua (Relative Humidity, percent) Rc (Rainfall Amount, mm) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-gri_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-gri_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-gri/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-gri.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-gri&showErrors=false&email= U.S. Geological Survey wind-gri
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wts.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wts https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wts.graph Whale's Tail South Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. Whale's Tail South Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) boardbatt (Logger board battery voltage, V) boardtemp (Logger board temperature, degree_C) signalpct (Cellular signal strength, percent) Dm (Wind From Direction, degree) Sm (Wind Speed, m s-1) Pa (Air Pressure, hPa) Ta (Air Temperature, degree_C) Ua (Relative Humidity, percent) Rc (Rainfall Amount, mm) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-wts_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-wts_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-wts/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-wts.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-wts&showErrors=false&email= U.S. Geological Survey wind-wts
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wtw.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wtw https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wtw.graph Whale's Tail Winter Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. Whale's Tail Winter Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) boardbatt (Logger board battery voltage, V) boardtemp (Logger board temperature, degree_C) signalpct (Cellular signal strength, percent) Dm (Wind From Direction, degree) Sm (Wind Speed, m s-1) Pa (Air Pressure, hPa) Ta (Air Temperature, degree_C) Ua (Relative Humidity, percent) Rc (Rainfall Amount, mm) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-wtw_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-wtw_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-wtw/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-wtw.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-wtw&showErrors=false&email= U.S. Geological Survey wind-wtw
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-bel.subset https://geoport.usgs.esipfed.org/erddap/tabledap/wind-bel https://geoport.usgs.esipfed.org/erddap/tabledap/wind-bel.graph https://geoport.usgs.esipfed.org/erddap/files/wind-bel/ Bellingham Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. Bellingham Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. cdm_data_type = TimeSeries VARIABLES: time (seconds since 1970-01-01T00:00:00Z) boardbatt (Logger board battery voltage, V) boardtemp (Logger board temperature, degree_C) signalpct (Cellular signal strength, percent) Dm (Wind From Direction, degree) Sm (Wind Speed, m s-1) Pa (Air Pressure, hPa) Ta (Air Temperature, degree_C) Ua (Relative Humidity, percent) Rc (Rainfall Amount, mm) latitude (degrees_north) longitude (degrees_east) feature_type_instance (station code) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-bel_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-bel_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/wind-bel/index.xhtml https://www.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/wind-bel.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-bel&showErrors=false&email= U.S. Geological Survey wind-bel
https://geoport.usgs.esipfed.org/erddap/tabledap/8401mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8401mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8401mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8401mc-a/ USGS-CMG time-series data: PV_SHELF07 - 840 - 8401mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 840 and package 8401mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 840 and package 8401mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8401mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8401mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8401mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8401mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8401mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8401mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8413mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8413mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8413mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8413mc-a/ USGS-CMG time-series data: PV_SHELF07 - 841 - 8413mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8413mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8413mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8413mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8413mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8413mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8413mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8413mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8413mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8416mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8416mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8416mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8416mc-a/ USGS-CMG time-series data: PV_SHELF07 - 841 - 8416mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8416mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8416mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8416mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8416mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8416mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8416mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8416mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8416mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8453mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8453mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8453mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8453mc-a/ USGS-CMG time-series data: PV_SHELF07 - 845 - 8453mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8453mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8453mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8453mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8453mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8453mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8453mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8453mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8453mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8461mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8461mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8461mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8461mc-a/ USGS-CMG time-series data: PV_SHELF07 - 846 - 8461mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8461mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8461mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8461mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8461mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8461mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8461mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8461mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8461mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8463mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8463mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8463mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8463mc-a/ USGS-CMG time-series data: PV_SHELF07 - 846 - 8463mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8463mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8463mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8463mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8463mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8463mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8463mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8463mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8463mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8501mc-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8501mc-a https://geoport.usgs.esipfed.org/erddap/tabledap/8501mc-a.graph https://geoport.usgs.esipfed.org/erddap/files/8501mc-a/ USGS-CMG time-series data: PV_SHELF07 - 850 - 8501mc-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 850 and package 8501mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 850 and package 8501mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) C_51 (Conductivity, S/m) S_41 (Wind Speed, m/s) T_28 (Water Temperature, degree_Celsius) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8501mc-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8501mc-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8501mc-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8501mc-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8501mc-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8501mc-a
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Amet-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/7601Amet-a https://geoport.usgs.esipfed.org/erddap/tabledap/7601Amet-a.graph https://geoport.usgs.esipfed.org/erddap/files/7601Amet-a/ USGS-CMG time-series data: PV_SHELF04 - 760 - 7601Amet-a USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Amet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Amet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) AT_21 (Air Temperature, degree_Celsius) BP_915 (Air Pressure, Pa) RH_910 (Relative Humidity, percent) WDS_415 (WIND DIRECTION STABILITY) WD_410 (Wind Direction, degree) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/7601Amet-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/7601Amet-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/7601Amet-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/7601Amet-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=7601Amet-a&showErrors=false&email= USGS Coastal and Marine Geology Program 7601Amet-a
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Bmet-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/7601Bmet-a https://geoport.usgs.esipfed.org/erddap/tabledap/7601Bmet-a.graph https://geoport.usgs.esipfed.org/erddap/files/7601Bmet-a/ USGS-CMG time-series data: PV_SHELF04 - 760 - 7601Bmet-a USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Bmet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Bmet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) AT_21 (Air Temperature, degree_Celsius) BP_915 (Air Pressure, Pa) RH_910 (Relative Humidity, percent) WDS_415 (WIND DIRECTION STABILITY) WD_410 (Wind Direction, degree) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/7601Bmet-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/7601Bmet-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/7601Bmet-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/7601Bmet-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=7601Bmet-a&showErrors=false&email= USGS Coastal and Marine Geology Program 7601Bmet-a
https://geoport.usgs.esipfed.org/erddap/tabledap/11111met-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/11111met-a https://geoport.usgs.esipfed.org/erddap/tabledap/11111met-a.graph https://geoport.usgs.esipfed.org/erddap/files/11111met-a/ USGS-CMG time-series data: MATANZAS_18 - 1111 - 11111met-a USGS-CMG time-series data from the Matanzas Inlet, FL, 2018 project, mooring 1111 and package 11111met-a. Oceanographic and Water Quality Measurements in the Nearshore Zone at Matanzas Inlet, Florida, January - April, 2018 cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Matanzas Inlet, FL, 2018 project, mooring 1111 and package 11111met-a. Oceanographic and Water Quality Measurements in the Nearshore Zone at Matanzas Inlet, Florida, January - April, 2018) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BP_915 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/11111met-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/11111met-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/11111met-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/11111met-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=11111met-a&showErrors=false&email= USGS Coastal and Marine Geology Program 11111met-a
https://geoport.usgs.esipfed.org/erddap/tabledap/9191met-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/9191met-a https://geoport.usgs.esipfed.org/erddap/tabledap/9191met-a.graph https://geoport.usgs.esipfed.org/erddap/files/9191met-a/ USGS-CMG time-series data: FI12 - 919 - 9191met-a USGS-CMG time-series data from the Fire Island NY - Offshore project, mooring 919 and package 9191met-a. Oceanographic and meteorological observations were made at 7 sites on and around the sand ridges offshore of Fire Island NY in winter 2012 to study coastal processes. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Fire Island NY - Offshore project, mooring 919 and package 9191met-a. Oceanographic and meteorological observations were made at 7 sites on and around the sand ridges offshore of Fire Island NY in winter 2012 to study coastal processes.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BP_915 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) pr_ori (mbar) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/9191met-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/9191met-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/9191met-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/9191met-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=9191met-a&showErrors=false&email= USGS Coastal and Marine Geology Program 9191met-a
https://geoport.usgs.esipfed.org/erddap/tabledap/9851met-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/9851met-a https://geoport.usgs.esipfed.org/erddap/tabledap/9851met-a.graph https://geoport.usgs.esipfed.org/erddap/files/9851met-a/ USGS-CMG time-series data: FI14 - 985 - 9851met-a USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 985 and package 9851met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 985 and package 9851met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BP_915 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/9851met-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/9851met-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/9851met-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/9851met-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=9851met-a&showErrors=false&email= USGS Coastal and Marine Geology Program 9851met-a
https://geoport.usgs.esipfed.org/erddap/tabledap/10011met-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/10011met-a https://geoport.usgs.esipfed.org/erddap/tabledap/10011met-a.graph https://geoport.usgs.esipfed.org/erddap/files/10011met-a/ USGS-CMG time-series data: FI14 - 1001 - 10011met-a USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 1001 and package 10011met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 1001 and package 10011met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BP_915 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/10011met-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/10011met-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/10011met-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/10011met-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=10011met-a&showErrors=false&email= USGS Coastal and Marine Geology Program 10011met-a
https://geoport.usgs.esipfed.org/erddap/tabledap/8451met-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/8451met-a https://geoport.usgs.esipfed.org/erddap/tabledap/8451met-a.graph https://geoport.usgs.esipfed.org/erddap/files/8451met-a/ USGS-CMG time-series data: PV_SHELF07 - 845 - 8451met-a USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8451met-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8451met-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) AT_21 (Air Temperature, degree_Celsius) BP_915 (Air Pressure, Pa) Ptch_1216 (Instrument Pitch, degree) Roll_1217 (Instrument Roll, degree) STD_Ptch (ADCP Pitch - Standard Deviation, degree) STD_Roll (ADCP Roll - Standard Deviation, degree) WD_410 (Wind Direction, degree) WS_401 (Wind Speed, m/s) WU_422 (Eastward Wind (U), m/s) WV_423 (Northward Wind (V), m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8451met-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8451met-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/8451met-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/8451met-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8451met-a&showErrors=false&email= USGS Coastal and Marine Geology Program 8451met-a
https://geoport.usgs.esipfed.org/erddap/tabledap/9521hlm_all-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/9521hlm_all-a https://geoport.usgs.esipfed.org/erddap/tabledap/9521hlm_all-a.graph https://geoport.usgs.esipfed.org/erddap/files/9521hlm_all-a/ USGS-CMG time-series data: RCNWR - 952 - 9521hlm_all-a USGS-CMG time-series data from the Rachel Carson NWR 2013 project, mooring 952 and package 9521hlm_all-a. Oceanographic and water-quality observations made at 3 sites in the wetlands of the Rachel Carson National Wildlife Refuge. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the Rachel Carson NWR 2013 project, mooring 952 and package 9521hlm_all-a. Oceanographic and water-quality observations made at 3 sites in the wetlands of the Rachel Carson National Wildlife Refuge.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BAT_106 (Battery Voltage, V ) BPR_915 (Air Pressure, Pa) Current (System Current, mA ) PAR_251 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/9521hlm_all-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/9521hlm_all-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/9521hlm_all-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/9521hlm_all-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=9521hlm_all-a&showErrors=false&email= USGS Coastal and Marine Geology Program 9521hlm_all-a
https://geoport.usgs.esipfed.org/erddap/tabledap/938metA-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/938metA-a https://geoport.usgs.esipfed.org/erddap/tabledap/938metA-a.graph https://geoport.usgs.esipfed.org/erddap/files/938metA-a/ USGS-CMG time-series data: WFAL - 938 - 938metA-a USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metA-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metA-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BAT_106 (Battery Voltage, V ) BPR_915 (Air Pressure, Pa) Current (System Current, mA ) DP_951 (Dew Point, degree_Celsius) PAR_251 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/938metA-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/938metA-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/938metA-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/938metA-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=938metA-a&showErrors=false&email= USGS Coastal and Marine Geology Program 938metA-a
https://geoport.usgs.esipfed.org/erddap/tabledap/938metB-a.subset https://geoport.usgs.esipfed.org/erddap/tabledap/938metB-a https://geoport.usgs.esipfed.org/erddap/tabledap/938metB-a.graph https://geoport.usgs.esipfed.org/erddap/files/938metB-a/ USGS-CMG time-series data: WFAL - 938 - 938metB-a USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metB-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay. cdm_data_type = TimeSeries VARIABLES: feature_type_instance (Identifier for each feature type instance) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) crs (http://www.opengis.net/def/crs/EPSG/0/4326) platform (USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metB-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay.) time (time of measurement, seconds since 1970-01-01T00:00:00Z) altitude (z of the sensor relative to the water surface, m) BAT_106 (Battery Voltage, V ) BPR_915 (Air Pressure, Pa) Current (System Current, mA ) DP_951 (Dew Point, degree_Celsius) PAR_251 (Air Pressure, Pa) Qs_133 (Shortwave Radiation, w/m^2) RH_910 (Relative Humidity, percent) T_21 (Air Temperature, degree_Celsius) WD_410 (Wind Direction, degree) WG_402 (Wind Gust, m/s) WS_401 (Wind Speed, m/s) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/938metB-a_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/938metB-a_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/938metB-a/index.xhtml https://stellwagen.er.usgs.gov/ https://geoport.usgs.esipfed.org/erddap/rss/938metB-a.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=938metB-a&showErrors=false&email= USGS Coastal and Marine Geology Program 938metB-a
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc-wvs-p.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc-wvs-p https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc-wvs-p.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1T01adc-wvs-p/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1T01adc-wvs-p Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (10 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1T01adc-wvs-p_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1T01adc-wvs-p_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1T01adc-wvs-p/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1T01adc-wvs-p.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1T01adc-wvs-p&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1T01adc-wvs-p
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc-wvs-p.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc-wvs-p https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc-wvs-p.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M4T01adc-wvs-p/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M4T01adc-wvs-p Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M4T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (10 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M4T01adc-wvs-p_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M4T01adc-wvs-p_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M4T01adc-wvs-p/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M4T01adc-wvs-p.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M4T01adc-wvs-p&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M4T01adc-wvs-p
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc-wvs-p.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc-wvs-p https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc-wvs-p.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M2T01adc-wvs-p/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M2T01adc-wvs-p Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M2T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (10 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M2T01adc-wvs-p_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M2T01adc-wvs-p_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M2T01adc-wvs-p/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M2T01adc-wvs-p.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M2T01adc-wvs-p&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M2T01adc-wvs-p
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc-wvs-p.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc-wvs-p https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc-wvs-p.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5T01adc-wvs-p/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5T01adc-wvs-p Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (10 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5T01adc-wvs-p_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5T01adc-wvs-p_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5T01adc-wvs-p/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5T01adc-wvs-p.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5T01adc-wvs-p&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5T01adc-wvs-p
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M01ct.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M01ct https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M01ct.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M01ct/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M01ct Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M01ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M01ct_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M01ct_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M01ct/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M01ct.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M01ct&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5M01ct
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M01ct.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M01ct https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M01ct.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M01ct/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M01ct Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M01ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M01ct_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M01ct_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M01ct/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M01ct.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M01ct&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M3M01ct
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M21tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M21tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M21tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M21tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M21tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M21tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M21tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M21tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M21tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M21tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M21tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1M21tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M31tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M31tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M31tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M31tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M31tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M31tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M31tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M31tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M31tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M31tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M31tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5M31tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M51tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M51tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M51tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M51tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M51tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M51tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M51tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M51tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M51tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M51tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M51tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5M51tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M31tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M31tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M31tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M31tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M31tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M31tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M31tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M31tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M31tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M31tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M31tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1M31tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M41tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M41tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M41tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M41tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M41tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M41tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M41tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M41tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M41tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M41tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M41tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1M41tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M51tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M51tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M51tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M51tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M51tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M51tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M51tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M51tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M51tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M51tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M51tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1M51tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M22tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M22tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M22tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M22tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M22tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M22tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M22tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M22tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M22tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M22tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M22tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5M22tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M21tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M21tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M21tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M21tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M21tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M21tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M21tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M21tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M21tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M21tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M21tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M3M21tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M32tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M32tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M32tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M32tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M32tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M32tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M32tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M32tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M32tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M32tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M32tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5M32tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M52tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M52tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M52tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M52tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M52tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M52tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M52tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M52tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M52tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M52tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M52tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5M52tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M42tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M42tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M42tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M42tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M42tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M42tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M42tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M42tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M42tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M42tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M42tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1M42tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M52tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M52tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M52tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M52tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M52tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M52tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M52tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M52tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M52tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M52tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M52tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1M52tl
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M22tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M22tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M22tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M22tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M22tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M22tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M22tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M22tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M22tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M22tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M22tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M3M22tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M52tl.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M52tl https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M52tl.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M52tl/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M52tl Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M52tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (5 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M52tl_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M52tl_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M52tl/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M52tl.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M52tl&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M3M52tl
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T02ct.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T02ct https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T02ct.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M2T02ct/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M2T02ct Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M2T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (7 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M2T02ct_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M2T02ct_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M2T02ct/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M2T02ct.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M2T02ct&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M2T02ct
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T02ct.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T02ct https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T02ct.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5T02ct/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5T02ct Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (7 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5T02ct_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5T02ct_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5T02ct/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5T02ct.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5T02ct&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5T02ct
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https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T02ct.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T02ct https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T02ct.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M3T02ct/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3T02ct Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (7 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3T02ct_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3T02ct_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M3T02ct/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3T02ct.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3T02ct&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M3T02ct
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T02ct.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T02ct https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T02ct.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M4T02ct/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M4T02ct Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M4T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeries VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (7 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M4T02ct_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M4T02ct_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M4T02ct/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M4T02ct.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M4T02ct&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M4T02ct
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T01adc.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T01adc https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T01adc.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M3T01adc/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3T01adc Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeriesProfile VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (21 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3T01adc_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3T01adc_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M3T01adc/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3T01adc.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3T01adc&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M3T01adc
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M4T01adc/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M4T01adc Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M4T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeriesProfile VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (21 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M4T01adc_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M4T01adc_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M4T01adc/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M4T01adc.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M4T01adc&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M4T01adc
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M1T01adc/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1T01adc Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeriesProfile VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (21 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1T01adc_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1T01adc_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M1T01adc/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1T01adc.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1T01adc&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M1T01adc
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M5T01adc/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5T01adc Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeriesProfile VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (21 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5T01adc_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5T01adc_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M5T01adc/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5T01adc.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5T01adc&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M5T01adc
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc.subset https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc.graph https://geoport.usgs.esipfed.org/erddap/files/AMS15M2T01adc/ Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M2T01adc Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M2T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change. The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity. Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission. Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc). Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure. Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters. This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report: Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060. cdm_data_type = TimeSeriesProfile VARIABLES: time (time of measurement, seconds since 1970-01-01T00:00:00Z) ... (21 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M2T01adc_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M2T01adc_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/AMS15M2T01adc/index.xhtml https://doi.org/10.5066/F7RN362H https://geoport.usgs.esipfed.org/erddap/rss/AMS15M2T01adc.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M2T01adc&showErrors=false&email= USGS Coastal and Marine Geology Program AMS15M2T01adc
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL916HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL916HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL916HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL916HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL916HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL916HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL916HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL916HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL916HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL916HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL916HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL916LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL916LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL916LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL916LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL916LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL916LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL916LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL916LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL916LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL916LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL916LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL516HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL516HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL516HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL516HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL516HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL516HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL516HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL516HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL516HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL516HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL516HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL107LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL107LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL107LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL107LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL107LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL107LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL107LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL107LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL107LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL107LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL107LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL107HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL107HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL107HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL107HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL107HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL107HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL107HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL107HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL107HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL107HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL107HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL516LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL516LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL516LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL516LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL516LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL516LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL516LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL516LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL516LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL516LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL516LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL315HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL315HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL315HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL315HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL315HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL315HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL315HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL315HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL315HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL315HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL315HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL616HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL616HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL616HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL616HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL616HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL616HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL616HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL616HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL616HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL616HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL616HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL117HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL117HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL117HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL117HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL117HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL117HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL117HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL117HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL117HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL117HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL117HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL117HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL115HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL115HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL115HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL115HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL115HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL115HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL115HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL115HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL115HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL115HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL115HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL115LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL115LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL115LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL115LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL115LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL115LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL115LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL115LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL115LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL115LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL115LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVDvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVDvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVDvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL716HVDvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL716HVDvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL716HVDvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL716HVDvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL716HVDvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL716HVDvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL716HVDvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL716HVDvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL716HVDvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL416LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL416LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL416LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL416LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL416LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL416LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL416LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL416LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL416LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL416LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL416LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL137HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL137HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL137HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL137HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL137HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL137HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL137HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL137HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL137HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL137HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL137HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL416HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL416HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL416HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL416HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL416HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL416HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL416HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL416HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL416HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL416HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL416HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL315LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL315LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL315LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL315LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL315LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL315LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL315LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL315LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL315LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL315LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL315LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL616LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL616LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL616LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL616LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL616LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL616LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL616LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL616LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL616LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL616LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL616LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215LVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL215LVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL215LVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL215LVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL215LVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL215LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL215LVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL215LVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL215LVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL215LVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL215LVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL215LVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL816HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL816HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL816HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL816HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL816HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL816HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL816HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL816HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL816HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVEvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVEvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVEvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL816HVEvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL816HVEvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL816HVEvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL816HVEvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL816HVEvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL816HVEvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL816HVEvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL816HVEvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL816HVEvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL127HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL127HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL127HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL127HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL127HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL127HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL127HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL127HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL127HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL127HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL127HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL215HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL215HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL215HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL215HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL215HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL215HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL215HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL215HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL215HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL215HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL215HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVDvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVDvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVDvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL816HVDvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL816HVDvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL816HVDvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL816HVDvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL816HVDvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL816HVDvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL816HVDvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL816HVDvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL816HVDvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127WVAvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL127WVAvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL127WVAvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL127WVAvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL127WVAvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL127WVAvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL127WVAvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL127WVAvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL127WVAvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL127WVAvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL127WVAvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL127WVAvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVBvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVBvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVBvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL716HVBvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL716HVBvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL716HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL716HVBvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL716HVBvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL716HVBvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL716HVBvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL716HVBvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL716HVBvec-s
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137WVAvec-s.subset https://geoport.usgs.esipfed.org/erddap/tabledap/DL137WVAvec-s https://geoport.usgs.esipfed.org/erddap/tabledap/DL137WVAvec-s.graph https://geoport.usgs.esipfed.org/erddap/files/DL137WVAvec-s/ Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL137WVAvec-s Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL137WVAvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments. Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed. cdm_data_type = TimeSeries VARIABLES: burst (Burst Number, 1) time (time of measurement, seconds since 1970-01-01T00:00:00Z) latitude (sensor latitude, degrees_north) longitude (sensor longitude, degrees_east) ... (29 more variables) https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL137WVAvec-s_fgdc.xml https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL137WVAvec-s_iso19115.xml https://geoport.usgs.esipfed.org/erddap/info/DL137WVAvec-s/index.xhtml https://doi.org/10.5066/F73R0R07 https://geoport.usgs.esipfed.org/erddap/rss/DL137WVAvec-s.rss https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL137WVAvec-s&showErrors=false&email= USGS Coastal and Marine Geology Program DL137WVAvec-s