This README file describes the data for the article: Reed et al. 2019. Prairie plant phenology driven more by temperature than moisture in climate manipulations across a latitudinal gradient in the Pacific Northwest, USA. Ecology and Evolution. Comments and questions should be addressed to Paul Reed: preed@uoregon.edu. Data files and descriptions: "Reed_et_al_2019_phenology_population.csv" This file contains the population-level data: the abundances of reproductive plants (abundances), first flowering dates (ffd), peak flowering dates (pfd), and temperature sensitivities of first (ffd_sensitivity) and peak (pfd_sensitivity) flowering dates for the eight focal species studied. Values for ffd and pfd are given in day of year. See methods for a description of how temperature sensitivity was calculated. Species abbreviations: ACHMOL = Achyrachaena mollis, COLGRA = Collinsia grandiflora, FESROE = Festuca roemeri, MICLAC = Microseris laciniata, PLANOT = Plagiobothrys nothofulvus, PLECON = Plectritis congesta, RANAUS = Ranunculus austro-oreganus, SIDMAL = Sidalcea malviflora. See table 1 in methods section for greater detail on focal species. "Reed_et_al_2019_phenology_community.csv" This file contains the community-level phenology data: the date of peak biomass (ndvi_date_peak), date of senescence (ndvi_date_senes), rate of senescence (ndvi_rate_senes), and length of the 2018 growing season (ndvi_gsl_2018), all based on NDVI data. Values for ndvi_date_peak and ndvi_date_senes are given in day of year. ndvi_gsl_2018 is the total number of days that fall within what is described as the 2018 growing season (see methods). See methods for a description on the calculation of senescence rates. "Reed_et_al_2019_ndvi.csv" This file contains the average normalized difference vegetation index (NDVI) values for each plot on each sampling date from November 2016 to August 2018. These NDVI data were used to determine the community-level phenology variables and were used in the repeated-measures analyses. "Reed_et_al_2019_phenology_regressions.csv" This file contains all data included in the regression models of phenology response variables against soil temperature and moisture predictor variables. Soil temperature variables include mean annual temperature (mat), mean winter temperature (mwt), and mean spring temperature (mst); soil moisture variables include adjusted mean annual matric potential (mamp), the number of days below wilting point (dbwp), and the date of first wilting point (dfwp; see methods for descriptions of how these variables were calculated). Phenology response variables include all four community-level phenology variables and ffd and pfd values for the six focal species modeled (see methods). "Reed_et_al_2019_soil_matric_potentials_adjusted.csv" This file contains average daily adjusted soil matric potentials for each plot from 15-Jul-2016 to 15-Jul-2018. Matric potentials were adjusted so that any value less than -1500 kPa (the permanent wilting point of plants) became -1500 kPa. See methods for details on how matric potentials were calculated from volumetric water contents. Missing values (NAs) are due to equipment malfunctions. "Reed_et_al_2019_soil_temperatures.csv" This file contains average daily soil temperatures (to 30cm depth) for each plot from 15-Jul-2016 to 15-Jul-2018. Missing values (NAs) are due to equipment malfunctions.