Dataset of TDR soil moisture data from a LoRaWAN based soil sensing network of a selection of sensors at patchCROP for December 2020 to August 2021 for a principal component analysis

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Scholz, Helen;Grahmann, Kathrin

Description

The dataset comprises TDR soil moisture data from 64 sensors in three different depths (0.3, 0.6, 0.9 m), measured by a LoRaWAN based soil sensing network at the landscape laboratory patchCROP by ZALF near Müncheberg, Germany. The data were the base for a principal component analysis of the period from December 2020 until August 2021. For this, periods and sensors with low data quality were excluded and smaller gaps closed by linear interpolation. In total, the dataset comprises data from 12 different patches under seven different main crops.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.6

FAIR Score

50%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

BonaRes Data Centre (Leibniz Centre for Agricultural Landscape Research (ZALF))

Assigned Domain

Subfield

Environmental Engineering

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

49%

Source

Scholar Data Model

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00