Automated Author ProfileGould, Ernest
Gould, Ernest
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: 25.6 (sum of 33 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset provides daily minimum, maximum, and mean air temperature and 24-hour precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler Met Station, 1964-2002, 42.53167 N, 72.18937 W, dataset HF000) with measurements from the current automated weather station (Fisher Met Station, since 2001, 42.53311 N, 72.18968 W, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to account for differences in microclimate at the two sites. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest ;
- VanScoy, Mark
Minimum temperature, maximum temperature, and 24-hour precipitation amounts were recorded daily at the Shaler Meteorological Station located 30 m southeast of the main headquarters building (Shaler Hall). Precipitation data were published in NOAA's Climatological Data: New England. The Shaler Met Station was replaced by the Fisher Met Station (dataset HF001) and discontinued on 30 June 2002. For a longer climate record that includes data from the Fisher Met Station, please see dataset HF300.
Authors
- Boose, Emery ;
- Gould, Ernest
This dataset provides daily air temperature and precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler, 1964-2002, dataset HF000) with measurements from the current automated weather station (Fisher, since 2001, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to more closely match the Fisher data. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest
This dataset provides daily air temperature and precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler, 1964-2002, dataset HF000) with measurements from the current automated weather station (Fisher, since 2001, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to more closely match the Fisher data. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest
This dataset provides daily minimum, maximum, and mean air temperature and 24-hour precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler Met Station, 1964-2002, 42.53167 N, 72.18937 W, dataset HF000) with measurements from the current automated weather station (Fisher Met Station, since 2001, 42.53311 N, 72.18968 W, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to account for differences in microclimate at the two sites. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest ;
- VanScoy, Mark
This dataset provides daily minimum, maximum, and mean air temperature and 24-hour precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler Met Station, 1964-2002, 42.53167 N, 72.18937 W, dataset HF000) with measurements from the current automated weather station (Fisher Met Station, since 2001, 42.53311 N, 72.18968 W, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to account for differences in microclimate at the two sites. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest ;
- VanScoy, Mark
Minimum air temperature, maximum air temperature, and 24-hour precipitation amounts were recorded daily at the Shaler Meteorological Station located 30 m southeast of the main headquarters building (Shaler Hall). Precipitation data were published in NOAA's Climatological Data: New England. The Shaler Met Station was replaced by the Fisher Met Station (dataset HF001) and discontinued on 30 June 2002. For a longer climate record that includes data from the Fisher Met Station, please see dataset HF300.
Authors
- Boose, Emery ;
- Gould, Ernest
This dataset provides daily air temperature and precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler Met Station, 1964-2002, 42.53167 N, 72.18937 W, dataset HF000) with measurements from the current automated weather station (Fisher Met Station, since 2001, 42.53311 N, 72.18968 W, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to more closely match the Fisher data. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest
In 1956, Ernie Gould and colleagues established an experiment to test whether removing understory trees will accelerate the growth of the residual overstory. The motivation for the experiment was the suggestion that the understory uses growth materials that would otherwise be available for the main canopy crop trees, and that if the understory were removed the development of the crop trees would be accelerated. In Tom Swamp Compartment I, a 300’ by 400’ rectangular plot was established in a closed-canopy hardwood forest, and every tree >2 inches dbh was mapped, measured and assigned to the overstory or understory. In half of the plot, all understory trees and woody shrubs were cut. Wood and brush were removed from the study area. Sprouts that emerged were killed by spraying with 2-4-5-T and kerosene in 1956 and 1958. Diameter growth measurements of the remaining trees (overstory in the treated area; overstory and understory in the control) were repeated in 1960, 1966, 1969, and 1975 as part of the original experiment. The control portion of the plot was measured in 2003 and 2018. This data set contains tree measurements from the control portion of the site for 1956, 1969, 1975, 2003, and 2018. Additional measurements are available on paper data sheets in the Harvard Forest Document Archives (Research File HF 1956-03). Results of the understory removal experiment are reported in Kelty and Gould (1987).
Authors
- Gould, Ernest ;
- Barker Plotkin, Audrey
This dataset provides daily air temperature and precipitation data from Harvard Forest for long-term climate studies. It combines measurements from the original manual weather station (Shaler, 1964-2002, dataset HF000) with measurements from the current automated weather station (Fisher, since 2001, dataset HF001). Gaps in the Shaler data were filled using data from nearby stations. Data from a 12-month period when both stations were operational were used to adjust the Shaler data to more closely match the Fisher data. This dataset is updated annually.
Authors
- Boose, Emery ;
- Gould, Ernest