Tree Motion and Wind Data from Multiple Sites

Data from 1990 onward includes two primary types: one-hour samples from 27 sites and long-term data from 9 datasets. The collection contains raw, uncalibrated tree motion measurements across two horizontal axes, paired with wind data, stored in daily files. Sensor drift requires user-specific preprocessing, as detailed in the accompanying 2021 publication.

Use Cases

• Analyzing tree sway frequency and amplitude based on two-axis motion sensor data.
• Modeling wind-tree interaction dynamics using collocated wind and motion time-series.
• Calibrating sensor data using known-force coefficients provided in the TreeSummary table.
• Studying long-term sensor drift patterns in environmental monitoring equipment.
• Comparing tree motion behavior across different sites and sensor types like inclinometers and strain gauges.

Strengths

• Contains long-term, multi-site data from 9 distinct datasets, enabling comparative studies.
• Includes calibration coefficients for some trees, allowing for data normalization.
• Data is associated with a peer-reviewed 2021 publication in Biogeosciences, providing methodological context.

Limitations

• Key metadata such as total row count, dataset size, and specific update dates are not provided across sources.
• The raw tree motion data contains a varying offset due to sensor drift, requiring non-trivial user preprocessing.
• Wind data for the Australian sites is stored per tree, complicating analysis for shared wind conditions.

Provenance

Source

University of Cambridge, authored by Toby Jackson.

Collection Method

Collected from multiple field sites using different sensors including strain gauges and inclinometers.

Time Range

Includes data from at least 1990, based on example filename 'Kershope_T25_1990_5_23'.

Geography

Multiple international sites, including specific mentions of Orange, Storrs, Torrington, Kershope, and Australian locations.