Atmospheric conditions strongly influence ecological systems, and tools that simplify the access and processing of atmospheric data can greatly facilitate ecological research. We have developed RNCEP, a package of functions in the open-source R language, to access, organise and visualise freely available atmospheric data from two long-term high-quality data sets with global coverage. These functions retrieve data, via the Internet, for either a desired spatiotemporal extent or interpolated to a point in space and time. The package also contains functions to temporally aggregate data, producing user-defined variables, and to visualise these data on a map. By making access to atmospheric data and integration with biological data easier and more...
Analyses of extreme weather events and their impacts often requires big data processing of ensembles...
The International Research Institute for Climate Prediction (IRI/LDEO) Climate Data Library contains...
The aim of climate4impact (C4I) is to enhance the use of research data, to support researchers with ...
Understanding the relationship between climate and vegetation requires climate data to be linked wit...
1) Wind connectivity has been identified as a key factor driving many biological processes. 2) Exist...
The goal of climaemet is to serve as an interface to download the climatic data of the Spanish Meteo...
Datasets for the paper Richard, B. et al. The climatic debt is growing in the understory of temperat...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
Data obtained from weather monitoring stations and air quality acquired from several meteorological ...
<p>Geoscientists now live in a world with an exponential growth in digital data and methods.<br> Cli...
Increasing computer power and the availability of remote-sensing data measuring different environmen...
A collection of R-scripts and data (R-binary) used for climate analysis, downscaling and presenting ...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
The article reviews main principles of running geo-computations in ecology, as illustrated with case...
The EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) provides satellite-based ...
Analyses of extreme weather events and their impacts often requires big data processing of ensembles...
The International Research Institute for Climate Prediction (IRI/LDEO) Climate Data Library contains...
The aim of climate4impact (C4I) is to enhance the use of research data, to support researchers with ...
Understanding the relationship between climate and vegetation requires climate data to be linked wit...
1) Wind connectivity has been identified as a key factor driving many biological processes. 2) Exist...
The goal of climaemet is to serve as an interface to download the climatic data of the Spanish Meteo...
Datasets for the paper Richard, B. et al. The climatic debt is growing in the understory of temperat...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
Data obtained from weather monitoring stations and air quality acquired from several meteorological ...
<p>Geoscientists now live in a world with an exponential growth in digital data and methods.<br> Cli...
Increasing computer power and the availability of remote-sensing data measuring different environmen...
A collection of R-scripts and data (R-binary) used for climate analysis, downscaling and presenting ...
Ecological research, just as all Earth System Sciences, is becoming increasingly data-rich. Tools fo...
The article reviews main principles of running geo-computations in ecology, as illustrated with case...
The EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) provides satellite-based ...
Analyses of extreme weather events and their impacts often requires big data processing of ensembles...
The International Research Institute for Climate Prediction (IRI/LDEO) Climate Data Library contains...
The aim of climate4impact (C4I) is to enhance the use of research data, to support researchers with ...