This dataset is from a precipitation manipulation experiment conducted at five grassland sites along an elevation gradient near Flagstaff, AZ. The data consist of pre- (1991 - 2015) and post-experimental (2016) treatment plant production and precipitation measurements. The plant production measurements were taken from satellite and hand-held spectroradiometer, in addition to plot-based harvests at the end of growing season.

This dataset is from a precipitation manipulation experiment conducted at five grassland sites along an elevation gradient near Flagstaff, AZ. The data consist of pre- (1991 - 2015) and post-experimental (2016) treatment plant production and precipitation measurements. The plant production measurements were taken from satellite and hand-held spectroradiometer, in addition to plot-based harvests at the end of growing season.

This dataset is from a precipitation manipulation experiment conducted at five grassland sites along an elevation gradient near Flagstaff, AZ. The data consist of pre- (1991 - 2015) and post-experimental (2016) treatment plant production and precipitation measurements. The plant production measurements were taken from satellite and hand-held spectroradiometer, in addition to plot-based harvests at the end of growing season.

This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative of the dominant vegetation in the 30m area, but by no means is it the only vegetation there. In the pivot point methodology we look to understand how the vegetation production in a single year relates to long term mean production, these columns are included in the dataset. Lastly, this time series data was composited to the warm and cold season since the deserts studied had productivity/ climate events at different times of year. The definition of season is; warm season (July – September),and cold season (October – March).

This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative of the dominant vegetation in the 30m area, but by no means is it the only vegetation there. In the pivot point methodology we look to understand how the vegetation production in a single year relates to long term mean production, these columns are included in the dataset. Lastly, this time series data was composited to the warm and cold season since the deserts studied had productivity/ climate events at different times of year. The definition of season is; warm season (July – September),and cold season (October – March).

This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative of the dominant vegetation in the 30m area, but by no means is it the only vegetation there. In the pivot point methodology we look to understand how the vegetation production in a single year relates to long term mean production, these columns are included in the dataset. Lastly, this time series data was composited to the warm and cold season since the deserts studied had productivity/ climate events at different times of year. The definition of season is; warm season (July – September),and cold season (October – March).

This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative of the dominant vegetation in the 30m area, but by no means is it the only vegetation there. In the pivot point methodology we look to understand how the vegetation production in a single year relates to long term mean production, these columns are included in the dataset. Lastly, this time series data was composited to the warm and cold season since the deserts studied had productivity/ climate events at different times of year. The definition of season is; warm season (July – September),and cold season (October – March).

These data were compiled to allow further understanding of how aboveground net primary production of different plant functional types in ecosystems along an elevation gradient in the southwestern U.S. respond to extreme changes in warm-season precipitation (drought and water addition) associated with the North American Monsoon. The objectives of the study were to 1) determine how primary production responds to warm-season precipitation extremes over time; 2) compare production sensitivities to warm-season precipitation (slopes of production – precipitation relationships) across an elevation gradient; 3) evaluate whether the sensitivity of production differed under extreme dry and wet years compared to ambient precipitation. These data represent aboveground net primary production and associated warm-season (May - September) precipitation measurements from 2015 - 2020 during a precipitation manipulation experiment carried out across a desert scrubland, desert grassland, juniper savanna, ponderosa pine meadow, and mixed conifer meadow. These data were collected on or adjacent to the San Francisco Peaks near Flagstaff, Arizona by the U.S. Geological Survey using field measurements. These data can be used to better understand how production of different plant functional types respond to changes in warm-season precipitation in the aforementioned ecosystem types.

These data were compiled to allow further understanding of how aboveground net primary production of different plant functional types in ecosystems along an elevation gradient in the southwestern U.S. respond to extreme changes in warm-season precipitation (drought and water addition) associated with the North American Monsoon. The objectives of the study were to 1) determine how primary production responds to warm-season precipitation extremes over time; 2) compare production sensitivities to warm-season precipitation (slopes of production – precipitation relationships) across an elevation gradient; 3) evaluate whether the sensitivity of production differed under extreme dry and wet years compared to ambient precipitation. These data represent aboveground net primary production and associated warm-season (May - September) precipitation measurements from 2015 - 2020 during a precipitation manipulation experiment carried out across a desert scrubland, desert grassland, juniper savanna, ponderosa pine meadow, and mixed conifer meadow. These data were collected on or adjacent to the San Francisco Peaks near Flagstaff, Arizona by the U.S. Geological Survey using field measurements. These data can be used to better understand how production of different plant functional types respond to changes in warm-season precipitation in the aforementioned ecosystem types.

These data consist of plot-level plant species cover measurements from a precipitation manipulation experiment located in the Spruce Gulch Wildlife and Research Reserve near Boulder, Colorado. This data release consists of absolute percent live foliar cover measurements of all plant species within each plot for the years 2011, 2012, 2013, 2020, 2021, 2022, and 2023. From 2011-2013, plots received one of three precipitation manipulations over the winter (October through March) and summer (April-September): 'reduce' = 50 percent reduction in ambient precipitation, 'increase' = 50 percent increase in ambient precipitation, or 'ambient' = no manipulation of precipitation. Precipitation was reduced through the use of rain-out shelters that blocked precipitation from half of each plot. Precipitation was increased by irrigating plots using water from a local well. The 'increase' precipitation treatments were discontinued after 2013, and thus some winter and summer precipitation treatments for plots were reassigned in 2020-2023.