Metompkin Farm - DTW, Water Temperature, Specific conductance - Jul 2022-Jul 2024
| Authors: | |
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| Owners: | Dannielle PrattRachel McQuiggan |
| Type: | Resource |
| Storage: | The size of this resource is 7.4 MB |
| Created: | Aug 09, 2024 at 4:38 p.m. |
| Last updated: | Jan 30, 2025 at 8:28 p.m. |
| Published date: | Jan 30, 2025 at 8:28 p.m. |
| DOI: | 10.4211/hs.de8341f1e4544c61b0f0128099cfc08a |
| Citation: | See how to cite this resource |
| Content types: | CSV Content |
| Sharing Status: | Published |
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| Views: | 635 |
| Downloads: | 26 |
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| Comments: | No comments (yet) |
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. This work was conducted on private property with the cooperation and trust of landowners and farm operators who have requested to remain anonymous. We have removed select coordinates and information that could be used to identify their operations.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | 07/19/2022 |
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| End Date: | 07/23/2024 |
Content
Additional Metadata
Related Resources
| This resource is described by | Dannielle Pratt, Rachel W. McQuiggan, Eva Snell Bacmeister, Amanda Sprague-Getsy, Holly A. Michael, Groundwater and soil moisture data collected in the Coastal Critical Zone of the Delmarva Peninsula, United States, Data in Brief, 2025, 111336, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2025.111336. (https://www.sciencedirect.com/science/article/pii/S235234092500068X) |
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| CCZN Metompkin Farm Data | Dannielle Pratt | Discoverable & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| NSF | Collaborative Research: Network Cluster: The Coastal Critical Zone: Processes that transform landscapes and fluxes between land and sea | 2012484 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Rachel McQuiggan | University of Delaware;Delaware Geological Survey | Delaware, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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