Research Data

	Data Description	Author
Gender and authorship patterns in urban land science	The bibliometric data for the literature of urban land science used for this study, and the code for content analysis can be downloaded at: https://github.com/karenthchen/Gender-an…	Karen Chen, Karen Seto
Urban Land Expansion and Heat Island Intensification by 2050	The spatially explicit probabilistic projections of urban land expansion and heat island intensification by 2050 can be accessed from the following links: Urban land expansion: https://figshare.com/articles/Global_Urban_Land_Expansion_by_2050/7897010 Urban heat island intensification: https://figshare.com/articles/Global_Urban_Heat_Island_Intensification/7897433 —————————- Huang, K., Li, X., Liu, X., Seto, K.C. 2019. Projecting global urban land expansion and heat island intensification through 2050. Environmental Research Letters. Volume 14, Number 11.	Karen Seto
Global Inter-calibrated Nighttime lights	Compressed archives containing global inter-calibrated nighttime lights (NTLs) (1992 - 2012) can be accessed from the following link: https://www.dropbox.com/s/b1wjqx0iniq0tr… Global inter-calibrated nighttime lights (NTLs) have been generated from stable NTL annual composite product (version 4) using a novel “Ridgeline Sampling and Regression” method (Zhang et al., 2016). Before use, all images will need to be re-scaled by multiplying pixel values with a scaling factor of 0.01. For more information, refer to Zhang et al. (2016). Zhang, Q., Pandey, B., & Seto, K. C. (2016). A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data. IEEE Transactions on Geoscience and Remote Sensing, 54(10), 5821 – 5831. http://doi.org/10.1109/TGRS.2016.2572724	Qingling Zhang, Bhartendu Pandey, Karen Seto
Urban Expansion Meta-Analysis Click to Download	The attached files contain point data siting the studies used in “A Meta-Analysis of Global Urban Land Expansion” (Seto et al., 2011) as well as the UN-defined macro-regions used in the paper in shapefile format.
Urban expansion forecasts to 2030 Click to Download	The attached raster provides probabilistic projections of global urban expansion to 2030. It is described further in “Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools” (Seto, Güneralp, and Hutyra, 2012). Please read the Fair Use Policy contained in the readme file.
agLOSS Click to Download	AgLOSS is an automated algorithm that detects phenological changes in crop cycles that indicate agricultural land abandonment due to urban land expansion.	Bhartendu Pandey