Data from: Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment

Cole EF, Long PR, Zelazowski P, Szulkin M, Sheldon BC

Date Published: October 19, 2015

DOI: http://dx.doi.org/10.5061/dryad.7v1qg

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title DATASET - Predicting bird phenology from space
Downloaded 19 times
Description Great tit and blue tit breeding data and habitat data was collected in the field. The MOD09Q1 and MYD09Q1 data products used to calculate EVI are courtesy of the online Data Pool at the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota. Cloudiness data is based on the same MODIS sensors as in the case of EVI data, this time using the MOD08 product (collection 5.1, accessed through Level 1 and Atmosphere Archive and Distribution System – LAADS, ladsweb.nascom.nasa.gov).
Download DATASET - Predicting bird phenology from s....xlsx (1.705 Mb)
Details View File Details

When using this data, please cite the original publication:

Cole EF, Long PR, Zelazowski P, Szulkin M, Sheldon BC (2015) Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment. Ecology and Evolution 5(21): 5057-5074. http://dx.doi.org/10.1002/ece3.1745

Additionally, please cite the Dryad data package:

Cole EF, Long PR, Zelazowski P, Szulkin M, Sheldon BC (2015) Data from: Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.7v1qg
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: