Dendrochronologia
ISSN: 1125-7865
Datasets associated with articles published in Dendrochronologia
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- Dendrochronologia's Tutoring Recipes How to take samples for small basic dendroecological studies - videoThis video is attached to Dendrochronologia's technical note on how to take samples for small basic dendroecological studies. The aim of this video is to show how to prepare and sample trees.
- Data for: A double bootstrap approach to Superposed Epoch Analysis to evaluate response uncertaintyA copy of the Superposed Epoch Analysis (SEA) code developed in this paper to reproduce the results. Also includes the datasets used.
- Data for: High-elevation mountain hemlock growth as a surrogate for cool-season precipitation in Crater Lake National Park, USAMeasurements of tree-ring widths from seven mountain hemlock (Tsuga mertensiana [Bong.] Carr.) sites in Crater Lake National Park, Oregon. Ring-width data are stored as text files in Tucson decadal format (http://www.cybis.se/wiki/index.php?title=Tucson_format). Measurements are total ring-widths in microns. The first three lines of each file contain metadata describing: *Three-letter site code Site name Tree species code Country Elevation (meters above sea level) Latitude and longitude (decimal degrees) First year of chronology Final year Contributors
- Data for: A Bayesian framework for sourcing tree ring sequences based on the Baillie and Pilcher (1973) t-statistic, and it’s implications for long-distance lumber transport in Chaco Canyon, New MexicoChaco Tree ring data was provided by Guiterman et al. 2017. Historical tree ring data from the San Juan Basin is available on the International Tree Ring Data Bank (ITRDB): https://data.noaa.gov/dataset/international-tree-ring-data-bank-itrdb. R code is provided to replicate these results. References Guiterman, C.H., Swetnam, T.W., Dean, J.S. 2016. Eleventh-century shift in timber procurement areas for the great houses of Chaco Canyon. PNAS 113(5): 1186-1190 10.1073/pnas.1514272112
- Data for: Hierarchical Regression Models for Dendroclimatic Standardization and Climate ReconstructionThe contained files provide coding scripts in the R statistical programming environment that can be used to develop hierarchical Bayesian models for dendroclimatic standardization and climate reconstruction.