Rachel McQuiggan
University of Delaware;Delaware Geological Survey
Subject Areas: | Hydrogeology, Groundwater, Water quality |
Recent Activity
ABSTRACT:
This dataset includes redox potential (mV) at 5 different depths from 2 redox probes each at the Virginia Forest Site (Brownsville) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 5 platinum electrode sensors that measure soil redox potential at 10 cm, 20 cm, 30 cm, 40 cm, and 115 cm from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Virginia Forest site (Virginia Coast) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. Data was measured in 60-minute intervals from Jun2021-Feb 2022. All four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
ABSTRACT:
This Collection Resource contains data for the Coastal Critical Zone cluster for the Dover Farm site. The Dover Farm is a Delaware Agricultural site located in Kent County, DE.
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Virginia Forest site (Brownsville) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Virginia Agricultural site (Metompkin Farm) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
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Created: Dec. 1, 2021, 6:31 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Maryland Forested site (Monie Bay) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
Created: Feb. 2, 2022, 6:12 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Guimond, Julia A. · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Delaware Agricultural site (Dover Farm) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
Created: Feb. 14, 2022, 5:54 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Guimond, Julia A. · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Delaware Forested site (Milford Neck) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
Created: March 28, 2022, 3:16 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Delaware Agricultural site (Dover Farm) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. Three of the four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval and one location has a sensor at only the shallow (0.1-0.2 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
Created: March 28, 2022, 1:59 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Delaware Forested site (Milford Neck) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. Three of the four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval and one location has a sensor at only the shallow (0.1-0.2 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
Created: June 13, 2022, 4:13 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Maryland Forested site (Monie Bay) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. Three of the four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval and one location has a sensor at only the shallow (0.1-0.2 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
Created: June 13, 2022, 4:27 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Maryland Agricultural site (Crisfield Farm) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. All four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
Created: June 13, 2022, 4:40 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This Collection Resource contains data for the Coastal Critical Zone cluster from the Monie Bay site. Monie Bay is a Maryland Forested site and is located in Princess Anne County, MD within the Chesapeake Bay National Estuarine Research Reserve (https://dnr.maryland.gov/waters/cbnerr).
Created: Aug. 8, 2022, 3:34 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Guimond, Julia A. · Eva Snell Bacmeister
ABSTRACT:
This Collection Resource contains data for the Coastal Critical Zone cluster for the Milford Neck site. Milford Neck is a Delaware Forested site located in Kent County, DE and managed by the Delaware Department of Natural Resources and Environmental Control Division of Fish & Wildlife (https://dnrec.maps.arcgis.com/apps/MapSeries/index.html?appid=095bbc32f0104b288669c42caee3373e).
Created: Oct. 20, 2022, 5:35 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes redox potential (mV) at 6 different depths from 2 redox probes each at the Maryland Agricultural site (Chrisfield Farm) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 6 platinum electrode sensors that measure soil redox potential at 5 cm, 15 cm, 25 cm, 35 cm, 45 cm, and 120 cm from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.
Created: Oct. 20, 2022, 5:59 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes redox potential (mV) at 6 different depths from 2 redox probes each at the Maryland Forested site (Monie Bay) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 6 platinum electrode sensors that measure soil redox potential at 5 cm, 15 cm, 25 cm, 35 cm, 45 cm, and 120 cm from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.
Created: Oct. 20, 2022, 6:04 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Guimond, Julia A. · Eva Snell Bacmeister
ABSTRACT:
This dataset includes redox potential (mV) at 6 different depths from 4 redox probes each at the Delaware Forested site (Milford Neck) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 6 platinum electrode sensors that measure soil redox potential at 5 cm, 15 cm, 25 cm, 35 cm, 45 cm, and 120 cm from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.
Created: Oct. 24, 2022, 12:47 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes redox potential (mV) at 6 different depths from 2 redox probes each at the Virginia Agricultural site (Metompkin Farm) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 6 platinum electrode sensors that measure soil redox potential at 5 cm, 15 cm, 25 cm, 35 cm, 45 cm, and 120 cm, from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.
Created: Oct. 24, 2022, 1:15 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Virginia Agricultural site (Metompkin Farm) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. All four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
Created: Oct. 24, 2022, 3:14 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Guimond, Julia A. · Eva Snell Bacmeister
ABSTRACT:
This dataset includes redox potential (mV) at 6 different depths from 4 redox probes each at the Delaware Agricultural site (Dover Farm) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 6 platinum electrode sensors that measure soil redox potential at 5 cm, 15 cm, 25 cm, 35 cm, 45 cm, and 120 cm from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.
Created: Oct. 24, 2022, 5:26 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This Collection Resource contains data for the Coastal Critical Zone cluster from the Crisfield Farm site. Crisfield Farm is a farm in Somerset County, Maryland.
Created: Aug. 9, 2024, 4:38 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Virginia Agricultural site (Metompkin Farm) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
Created: Aug. 9, 2024, 5:25 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Nordio, Giovanna · Sergio Fagherazzi
ABSTRACT:
This dataset includes depth to water (m, from ground surface), water temperature (degrees C) and specific conductance (uS/cm) measurements from four monitoring wells at the Virginia Forest site (Brownsville) for the CZNet Coastal Cluster. Pressure, temperature and electrical conductivity were measured continuously in the field at 15-minute intervals with Solinst Levelogger 5 Model 3001s installed in each monitoring well. The Leveloggers were attached to a nylon cord and installed at the approximate depth of the well screen mid-point. Depth to water measurements were converted from Levelogger-measured pressure values. Pressure values were corrected for barometric pressure fluctuations and converted to depth to water values using reference manual depth to water measurements collected at the start and stop of each Levelogger deployment. No correction was done to the temperature values. Specific conductance values were calculated from Levelogger-measured electrical conductivity using the equation given by Standard Method 2510B. Between deployments, each Levelogger was submerged in a calibration solution with a known SC and the real-time reading was recorded. If the real-time reading was +/-5% of the calibration solution concentration, the sensor was calibrated according to manufacturer specifications. SC values were adjusted for sensor drift by adding a correction factor to the sensor-measured value. Leveloggers were occasionally swapped between wells to allow for sensor maintenance and calibration. Because the Leveloggers were periodically stopped to download data before being redeployed, there may be gaps in the record between deployments.
Created: Aug. 13, 2024, 5:18 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Guimond, Julia A. · Eva Snell Bacmeister
ABSTRACT:
This Collection Resource contains data for the Coastal Critical Zone cluster for the Dover Farm site. The Dover Farm is a Delaware Agricultural site located in Kent County, DE.
Created: Sept. 23, 2024, 5:45 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Nordio, Giovanna · Sergio Fagherazzi
ABSTRACT:
This dataset includes volumetric water content (soil moisture, in cubic meter per cubic meter), soil temperature (degrees C) and soil electrical conductivity (mS/cm) measurements from four monitoring locations at the Virginia Forest site (Virginia Coast) for the CZNet Coastal Cluster. Soil moisture, temperature and conductivity were measured continuously in the field at 15-minute intervals with METER Group TEROS 12 sensors and ZL6 dataloggers. Data was measured in 60-minute intervals from Jun2021-Feb 2022. All four locations have sensors measuring from both a shallow (0.1-0.2 m) and deep (0.2-0.3 m) depth interval. No correction was done to the reported values. Gaps in the record are indicated by blank values.
Created: Sept. 24, 2024, 2:07 p.m.
Authors: Pratt, Dannielle · Michael, Holly · Amanda Sprague-Getsy · Eva Snell Bacmeister
ABSTRACT:
This dataset includes redox potential (mV) at 5 different depths from 2 redox probes each at the Virginia Forest Site (Brownsville) for the CZNet Coastal Cluster. Redox potential was measured continuously in the field at 15-minute intervals with SWAP Instrument ORP-120-B redox probes installed into the ground. The probes each have 5 platinum electrode sensors that measure soil redox potential at 10 cm, 20 cm, 30 cm, 40 cm, and 115 cm from the ground surface. Each probe was connected to a Campbell CR1000X datalogger with a SWAP Instrument REF-12-0-A Ag/AgCl reference electrode. The reference electrode was installed below the ground surface at a depth that was always in contact with groundwater. The reference probes were installed into capped PVC surrounded by a 3 M KCl gel with holes drilled at the bottom of the PVC for contact with the groundwater. Redox potential values were corrected to the standard hydrogen electrode value by adding +200 mV to the measured potentials. Due to regular replacement of external data logger batteries and data downloads, there may be gaps in the data.