Title: * The List of All Active Datasets in this ERDDAP *

Summary:
This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)

Institution: SCCWRP

Dataset ID: allDatasets


Title: EMPA Logger Data

Summary:
The overall goal of the Estuary Marine Protected Area (EMPA) Monitoring Program is to establish a monitoring framework, including data collection, analysis, synthesis, and reporting to determine the health of estuaries in California and the efficacy of MPA designation in estuaries. As part of the initial phases of the program, we developed standard protocols to assess key estuarine features across different estuaries, coupled with standard data templates and guidance on analysis, synthesis, and reporting, focused on four guiding principles: flexibility, comparability, interpretability, and practicality. We developed 14 SOPs and piloted the framework at 15 estuaries in 2021. For more details on the EMPA program and framework, see https://empa.sccwrp.org. This dataset includes the continuous water logger data collected from 2015, as illustrated in SOP 1. In estuaries without continuous logger deployment, CTD Divers, PME MiniDots, Rugged Trolls, and Hobo Tidbits were deployed to collect temperature, conductivity, dissolved oxygen, and pressure (depth). Replication and length of deployment varied with estuary. In a select number of estuaries, other logger types were used due to existing monitoring; in those locations, that logger data has been included as well. For more details, see SOP 1 on https://empa.sccwrp.org. To simplify data usability, fields from both data and metadata tables have been combined to provide the user with a merged dataset. The metadata table is also included in standalone format.

cdm_data_type = Other
VARIABLES:
projectid
siteid
estuaryname
stationno (unitless)
sensortype
sensorid
samplecollectiontimestamp
samplecollectiontimezone
raw_depth
raw_depth_unit
raw_depth_qcflag
raw_pressure
... (36 more variables)


Title: EMPA Logger Data Daily Averages

Summary:
The overall goal of the Estuary Marine Protected Area (EMPA) Monitoring Program is to establish a monitoring framework, including data collection, analysis, synthesis, and reporting to determine the health of estuaries in California and the efficacy of MPA designation in estuaries. As part of the initial phases of the program, we developed standard protocols to assess key estuarine features across different estuaries, coupled with standard data templates and guidance on analysis, synthesis, and reporting, focused on four guiding principles: flexibility, comparability, interpretability, and practicality. We developed 14 SOPs and piloted the framework at 15 estuaries in 2021. For more details on the EMPA program and framework, see https://empa.sccwrp.org. This dataset includes the continuous water logger data collected from 2015, as illustrated in SOP 1. In estuaries without continuous logger deployment, CTD Divers, PME MiniDots, Rugged Trolls, and Hobo Tidbits were deployed to collect temperature, conductivity, dissolved oxygen, and pressure (depth). Replication and length of deployment varied with estuary. In a select number of estuaries, other logger types were used due to existing monitoring; in those locations, that logger data has been included as well. For more details, see SOP 1 on https://empa.sccwrp.org. To simplify data usability, fields from both data and metadata tables have been combined to provide the user with a merged dataset. The metadata table is also included in standalone format.

cdm_data_type = Other
VARIABLES:
projectid
siteid
estuaryname
stationno (unitless)
sensortype
sensorid
date
date_timezone
daily_ave_raw_depth
daily_ave_raw_depth_unit
daily_ave_raw_depth_qcflag
daily_ave_raw_pressure
... (32 more variables)


Title: EMPA Logger Data Pressure Depth Correction

Summary:
The overall goal of the Estuary Marine Protected Area (EMPA) Monitoring Program is to establish a monitoring framework, including data collection, analysis, synthesis, and reporting to determine the health of estuaries in California and the efficacy of MPA designation in estuaries. As part of the initial phases of the program, we developed standard protocols to assess key estuarine features across different estuaries, coupled with standard data templates and guidance on analysis, synthesis, and reporting, focused on four guiding principles: flexibility, comparability, interpretability, and practicality. We developed 14 SOPs and piloted the framework at 15 estuaries in 2021. For more details on the EMPA program and framework, see https://empa.sccwrp.org. This dataset includes the continuous water logger data collected from 2015, as illustrated in SOP 1. In estuaries without continuous logger deployment, CTD Divers, PME MiniDots, Rugged Trolls, and Hobo Tidbits were deployed to collect temperature, conductivity, dissolved oxygen, and pressure (depth). Replication and length of deployment varied with estuary. In a select number of estuaries, other logger types were used due to existing monitoring; in those locations, that logger data has been included as well. For more details, see SOP 1 on https://empa.sccwrp.org. To simplify data usability, fields from both data and metadata tables have been combined to provide the user with a merged dataset. The metadata table is also included in standalone format.

cdm_data_type = Other
VARIABLES:
projectid
siteid
estuaryname
stationno (unitless)
sensortype
sensorid
buoyid
samplecollectiontimestamp
raw_pressure
raw_barometric_pressure
corrected_pressure
corrected_depth
last_edited_date


Title: EMPA Logger Metadata

Summary:
The overall goal of the Estuary Marine Protected Area (EMPA) Monitoring Program is to establish a monitoring framework, including data collection, analysis, synthesis, and reporting to determine the health of estuaries in California and the efficacy of MPA designation in estuaries. As part of the initial phases of the program, we developed standard protocols to assess key estuarine features across different estuaries, coupled with standard data templates and guidance on analysis, synthesis, and reporting, focused on four guiding principles: flexibility, comparability, interpretability, and practicality. We developed 14 SOPs and piloted the framework at 15 estuaries in 2021. For more details on the EMPA program and framework, see https://empa.sccwrp.org. This dataset includes the continuous water logger data collected from 2015, as illustrated in SOP 1. In estuaries without continuous logger deployment, CTD Divers, PME MiniDots, Rugged Trolls, and Hobo Tidbits were deployed to collect temperature, conductivity, dissolved oxygen, and pressure (depth). Replication and length of deployment varied with estuary. In a select number of estuaries, other logger types were used due to existing monitoring; in those locations, that logger data has been included as well. For more details, see SOP 1 on https://empa.sccwrp.org. To simplify data usability, fields from both data and metadata tables have been combined to provide the user with a merged dataset. The metadata table is also included in standalone format.

cdm_data_type = Other
VARIABLES:
projectid
siteid
estuaryname
stationno (unitless)
sensortype
sensorid
samplecollectiontimestampstart
samplecollectiontimestampend
season
latitude (degrees_north)
longitude (degrees_east)
profile
... (14 more variables)