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| Type: | Resource | |
| Storage: | The size of this resource is 13.0 MB | |
| Created: | Mar 28, 2022 at 3:16 p.m. | |
| Last updated: | Jan 30, 2025 at 8:11 p.m. | |
| Published date: | Jan 30, 2025 at 8:11 p.m. | |
| DOI: | 10.4211/hs.c4e6bc66235e42b6b364bab513b747ee | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Published |
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| Views: | 2681 |
| Downloads: | 87 |
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| Comments: | No comments (yet) |
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. 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
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Content
ReadMe.md
OVERVIEW
CZNet Cluster: Coastal
Contact: cznetcoastal@udel.edu
File description(s):
DoverFarm_WC_ST_SC_210721-240709.csv - Volumetric water content (WC), soil temperature (ST), and soil conductivity (SC) at monitoring sites. Each column header is the name of a monitoring site (site id) plus depth identifier (S for shallow depth interval or D for deep depth interval) plus the variable (WC, ST, or SC). Index column is date and time of measurement (YYYY-MM-DD HH:MM:SS). File name includes the date range (start date-end date as YYMMDD) of the dataset in Eastern Standard Time.
DF_SMsites.csv - Monitoring location names (site ids), depth intervals, location coordinates, and general description.
Keywords: Soil moisture; Soil temperature; Electrical conductivity; Volumetric water content; Hydrology; Soil; Delaware; Dover; Critical Zone; CZNet
TEMPORAL
Date start (YYYY-MM-DD): 2021-07-21
Date end (YYYY-MM-DD): 2024-07-09
SITE INFORMATION
Location: Dover Farm
Site description: Delaware Agricultural site
Installation date (YYYY-MM-DD): 2021-07-21
Site type: Soil
VARIABLE INFORMATION
Variable type: Soil; Hydrology
Variables: Volumetric water content (soil moisture); Soil temperature; Electrical conductivity
Variables ODM2: volumetricWaterContent; Temperature; electricalConductivity
Variable abbreviations: Volumetric water content (soil moisture) - WC; Soil temperature - TE; Electrical conductivity - EC
No data value: NAN
Data flag: 999
Data flag meaning: Sensor malfunction during this time
TIME SERIES RESULTS INFORMATION
Units type: Volumetric water content (soil moisture); Soil temperature; Electrical conductivity
Units name: Volumetric water content (soil moisture) - cubic meter per cubic meter; Soil temperature - degrees Celsius; Electrical conductivity - milliSiemens per centimeter
Units abbreviation: cubic meter - m3; degrees Celsius - C; milliSiemens per centimeter - mS/cm
Status: Ongoing
Sample medium: Soil
Aggregation statistic: Continuous
UTC Offset Information: 5 hours (05:00:00)
METHOD INFORMATION
Method name: METER Group TEROS 12 sensor and ZL6 Datalogger
Method type: Instrument deployment
Method description: The TEROS 12 was set to record continuously at 15-minute intervals and record soil moisture, soil temperature, and electrical conductivity. Data were periodically downloaded from the ZL6 Datalogger without stopping the sensor. There may be gaps in the data Timestamps that occurred when the sensor malfunctioned.
Processing information: Data were directly downloaded from the ZL6 Datalogger using METER Group ZENTRA Utility software.
Additional Metadata
| Name | Value |
|---|---|
| Units | Volumetric water content/soil moisture - cubic meters per cubic meter (m3); Temperature - degrees Celsius (C); Electrical conductance - milliSiemens per centimeter (mS/cm) |
| Method | Data collected using a Meter Group TEROS 12 sensor and ZL6 datalogger |
| Frequency | 15-minute intervals |
| Timestamp | Times in this dataset are in Eastern Standard Time (EST); MM-DD-YYYY HH:MM:SS; UTC Offset - 5 hours |
| Variables | Volumetric water content; Temperature; Electrical conductivity |
| Dataset Type | Multi-time series |
| Sample Medium | Soil |
| Processing Level | Data was downloaded directly from the ZL6 datalogger using ZENTRA Utility software. |
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 Dover Farm Data | Rachel McQuiggan · 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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