Automated Author ProfileKennedy, Adam M
0000-0002-0491-8412
Kennedy, Adam M
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.8 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
PurpleAir Visualizer is a desktop application designed for the exporator data analysis of air quality data collected by PurpleAir sensors. This tool enables researchers, environmental scientists, educators, and community scientists to load, inspect, and visualize particulate matter (PM2.5) data. The application features Air Quality Index (AQI) conversion capabilities, allowing users to translate raw PM2.5 measurements into standardized AQI values using EPA guidelines. Key features include:Interactive graphical interface for data explorationSupport for loading and previewing PurpleAir CSV data filesFlexible plotting options, including time series and subplotsAutomatic detection and conversion of PM2.5 data to AQI with color-coded visualizationsExport of plots as high-quality PNG images for reports and presentationsIncluded Data: The program package comes with a dataset: hourly PurpleAir data from sensor #115739, located at the H.J. Andrews Experimental Forest Long Term Ecological Research (LTER) site. This real-world dataset provides users with an opportunity to explore and visualize air quality measurements from a research field station, the HJ Andrews Experimental Forest.
Authors
- Kennedy, Adam ;
- Schulze, Mark
PurpleAir Visualizer is a desktop application designed for the exporator data analysis of air quality data collected by PurpleAir sensors. This tool enables researchers, environmental scientists, educators, and community scientists to load, inspect, and visualize particulate matter (PM2.5) data. The application features Air Quality Index (AQI) conversion capabilities, allowing users to translate raw PM2.5 measurements into standardized AQI values using EPA guidelines. Key features include:Interactive graphical interface for data explorationSupport for loading and previewing PurpleAir CSV data filesFlexible plotting options, including time series and subplotsAutomatic detection and conversion of PM2.5 data to AQI with color-coded visualizationsExport of plots as high-quality PNG images for reports and presentationsIncluded Data: The program package comes with a dataset: hourly PurpleAir data from sensor #115739, located at the H.J. Andrews Experimental Forest Long Term Ecological Research (LTER) site. This real-world dataset provides users with an opportunity to explore and visualize air quality measurements from a research field station, the HJ Andrews Experimental Forest.
Authors
- Kennedy, Adam ;
- Schulze, Mark
The current network of temperature measurement sites are designed to represent spatial variability of air and soil temperature in rugged mountain topography, and serve as second-level stations to capture specific microclimate temperatures in conjunction with a network of Benchmark Meteorological Stations (MS001). The air and soil thermograph network has been reduced from the historical network of 37 sites originally established. Currently there are 10 measurement sites with two of these sites measuring relative humidity in addition to air and soil temperature. An original network of 19 sites (RS01-RS19) were established during the International Biome Program in the early 1970's. Emphasis on phenology, plant moisture stress, and leaf nutrient content led to extending this network of air and soil temperature measurement. A plant community classification system (Dyrness et al., 1971) was used as a primary means of stratification, and a set of permanent vegetation plots (Reference Stands) was installed to represent forest communities with distinct vegetation and hypothesized different environments (Dyrness et al., 1974). A thermograph network was installed within the reference stands in the early 1970's (Zobel et al., 1974), and vegetation standing crop, tree growth and mortality, and plant succession were also measured. The majority of these sites were established to monitor micro-meteorological data under the canopy. The purpose of this network was to provide air and soil temperature data for modeling photosynthesis, respiration, phenology, and decomposition, and to measure environmental gradients.
Authors
- Daly, Christopher ;
- McKee, W. Arthur ;
- Schulze, Mark D ;
- Remillard, Suzanne M. ;
- Cohn, Greg M ;
- Kennedy, Adam M ;
- Schmidt, Stephanie A
The current network of temperature measurement sites are designed to represent spatial variability of air and soil temperature in rugged mountain topography, and serve as second-level stations to capture specific microclimate temperatures in conjunction with a network of Benchmark Meteorological Stations (MS001). The air and soil thermograph network has been reduced from the historical network of 37 sites originally established. Currently there are 10 measurement sites with two of these sites measuring relative humidity in addition to air and soil temperature. An original network of 19 sites (RS01-RS19) were established during the International Biome Program in the early 1970's. Emphasis on phenology, plant moisture stress, and leaf nutrient content led to extending this network of air and soil temperature measurement. A plant community classification system (Dyrness et al., 1971) was used as a primary means of stratification, and a set of permanent vegetation plots (Reference Stands) was installed to represent forest communities with distinct vegetation and hypothesized different environments (Dyrness et al., 1974). A thermograph network was installed within the reference stands in the early 1970's (Zobel et al., 1974), and vegetation standing crop, tree growth and mortality, and plant succession were also measured. The majority of these sites were established to monitor micro-meteorological data under the canopy. The purpose of this network was to provide air and soil temperature data for modeling photosynthesis, respiration, phenology, and decomposition, and to measure environmental gradients.
Authors
- Daly, Christopher ;
- McKee, W. Arthur ;
- Schulze, Mark D ;
- Remillard, Suzanne M. ;
- Cohn, Greg M ;
- Kennedy, Adam M ;
- Schmidt, Stephanie A
The current network of temperature measurement sites are designed to represent spatial variability of air and soil temperature in rugged mountain topography, and serve as second-level stations to capture specific microclimate temperatures in conjunction with a network of Benchmark Meteorological Stations (MS001). The air and soil thermograph network has been reduced from the historical network of 37 sites originally established. Currently there are 10 measurement sites with two of these sites measuring relative humidity in addition to air and soil temperature. An original network of 19 sites (RS01-RS19) were established during the International Biome Program in the early 1970's. Emphasis on phenology, plant moisture stress, and leaf nutrient content led to extending this network of air and soil temperature measurement. A plant community classification system (Dyrness et al., 1971) was used as a primary means of stratification, and a set of permanent vegetation plots (Reference Stands) was installed to represent forest communities with distinct vegetation and hypothesized different environments (Dyrness et al., 1974). A thermograph network was installed within the reference stands in the early 1970's (Zobel et al., 1974), and vegetation standing crop, tree growth and mortality, and plant succession were also measured. The majority of these sites were established to monitor micro-meteorological data under the canopy. The purpose of this network was to provide air and soil temperature data for modeling photosynthesis, respiration, phenology, and decomposition, and to measure environmental gradients.
Authors
- Daly, Christopher ;
- McKee, W. Arthur ;
- Schulze, Mark D ;
- Remillard, Suzanne M. ;
- Cohn, Greg M ;
- Kennedy, Adam M ;
- Schmidt, Stephanie A