Decision support tools for performance prediction and recommendation domains
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Research Informatics Unit and the Genetic, Genomic and Crop Improvement at CIP   have developed a tool that connects statistically analogous locations using climate data from World Climate (Hijmans et al., 2005) and soil data from FAO (FAO et al., 2009). Both Databases are at 30 arc-second raster size. The tool uses the MaxEnt approach (Steven et al., 2006) programmed in R (Dismo Package) to develop a matrix of homologous environments for visualization as maps using Leaflet for R and Google Maps' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["climate action","climate data","decent work and growth economic","decision support tools","partnerships for the goals","potatoes","prediction","yield potential","zero hunger"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Research Informatics Unit and the Genetic, Genomic and Crop Improvement at CIP   have developed a tool that connects statistically analogous locations using climate data from World Climate (Hijmans et al., 2005) and soil data from FAO (FAO et al., 2009). Both Databases are at 30 arc-second raster size. The tool uses the MaxEnt approach (Steven et al., 2006) programmed in R (Dismo Package) to develop a matrix of homologous environments for visualization as maps using Leaflet for R and Google Maps' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Research Informatics Unit and the Genetic, Genomic and Crop Improvement at CIP   have developed a tool that connects statistically analogous locations using climate data from World Climate (Hijmans et al., 2005) and soil data from FAO (FAO et al., 2009). Both Databases are at 30 arc-second raster size. The tool uses the MaxEnt approach (Steven et al., 2006) programmed in R (Dismo Package) to develop a matrix of homologous environments for visualization as maps using Leaflet for R and Google Maps
climate action; climate data; decent work and growth economic; decision support tools; partnerships for the goals; potatoes; prediction; yield potential; zero hunger