Add to ORKGIncrease in use of stand-alone systems for recording data has made data harvesting across several fields easier and faster. However, raw data collected from such systems need to be manipulated and processed to enable meaningful analysis. Although data are readily available, one major issue concerning analysts and scientists is collation of data from various sources. Without a standard data format, scientists and analysts are required to put in resources to bring in data from multiple sources together. The problem is aggravated when a particular data source changes its data format. This project introduces the Joggler framework for a collection of services and inter- faces to enable analysts to quickly process data and bring them to other app...
The problem of archiving, accessing and performing analyses on data or information is very important...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
Exploratory data analysis is a process of sifting through data in search of interesting information ...
To improve upon paper based data collection, a new software tool was developed and is being used by ...
Many end users of climate change information often need to rely on external data analysis environmen...
Interpreting observational data is a fundamental task in the sciences, specifically in earth and env...
When researchers analyze data, it typically requires significant effort in data preparation to make ...
Interpreting observational data is a fundamental task in the sciences, specifically in earth and env...
Jaxber is a cloud-based tool which collects feedback, sharable information and ideas in various form...
Climate and weather realizations are essential inputs for simulating crop growth and yields to analy...
Spectroscopic surveys are undergoing a rapid expansion in their data collecting capabilities, reachi...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
thesisAs spatiotemporal datasets grow, accessing and processing them for analysis and visual- izatio...
During exploratory data analysis, visualizations are often useful for making sense of complex data s...
Exploratory data analysis is a process of sifting through data in search of interesting information ...
The problem of archiving, accessing and performing analyses on data or information is very important...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
Exploratory data analysis is a process of sifting through data in search of interesting information ...
To improve upon paper based data collection, a new software tool was developed and is being used by ...
Many end users of climate change information often need to rely on external data analysis environmen...
Interpreting observational data is a fundamental task in the sciences, specifically in earth and env...
When researchers analyze data, it typically requires significant effort in data preparation to make ...
Interpreting observational data is a fundamental task in the sciences, specifically in earth and env...
Jaxber is a cloud-based tool which collects feedback, sharable information and ideas in various form...
Climate and weather realizations are essential inputs for simulating crop growth and yields to analy...
Spectroscopic surveys are undergoing a rapid expansion in their data collecting capabilities, reachi...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
thesisAs spatiotemporal datasets grow, accessing and processing them for analysis and visual- izatio...
During exploratory data analysis, visualizations are often useful for making sense of complex data s...
Exploratory data analysis is a process of sifting through data in search of interesting information ...
The problem of archiving, accessing and performing analyses on data or information is very important...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
Exploratory data analysis is a process of sifting through data in search of interesting information ...