-
Detailed vegetation maps of the Brazilian Savanna (Cerrado) biome produced wi...
The Cerrado biome in Brazil covers approximately 24% of the country. It is one of the richest and most diverse savannas in the world, with 23 vegetation types (physiognomies)... -
Distribution of meiofauna abundance predicted in a potential deep-sea mining ...
The dataset contains predicted distributions of meiofauna on high taxonomic level computed for overall meiofauna abundance, diversity (Simpson's Index D and Evenness E),... -
Map of tree floristic patterns in Peruvian Amazonia
Floristic patterns of trees at genus-level were predicted throughout Peruvian Amazonia using Landsat satellite imagery, climate, elevation and soil layers. Genus-level tree... -
Land cover classification map of Germany's agricultural area based on Sentine...
Overcoming the obstacle of frequent cloud coverage in optical remote sensing data is essential for monitoring dynamic land surface processes from space. APiC, a novel adaptable... -
CFD-DEM and machine learning for modelling of plugging in pipes with cohesive...
This dataset contains model data for the CFD-DEM simulation of plugging in multiphase flows with cohesive particles. The main results available from the simulations are... -
Oyster size and weight measurements used for the development of weight-to-wei...
The dataset includes oyster size and weight measurements used for calculating weight-to-weight transformation factors for oyster total, shell and soft tissue wet weight to dry... -
Daily summary of weather, snow, and preferential-flow conditions at the Snow ...
This dataset includes daily summaries of weather, snow, and preferential-flow conditions at the Snow and Ice Research Center, Nagaoka (Japan) -- snow seasons 2006 through... -
Prédictions spatialisées des distributions des éléments As, Cd, Co, Cr, Cu, H...
Nous présentons ici les estimations spatialisées issues de méthode de cartographie des sols par modélisation statistique, d'une liste de contaminants mesurées dans les... -
French maps for the Global Soil Nutrient and Nutrient Budget Map (GSNmap)
This set of maps presents digital maps of soil properties on agricultural lands in France within the FAO framework “Global Soil Nutrient and Nutrient Budgets maps”. The spatial... -
The benefits of forecasting inflation with machine learning: New evidence (re...
This is the replication package for "The benefits of forecasting inflation with machine learning: New evidence" by A. Naghi, E. O'Neill, and M. Zaharieva, Journal of Applied... -
Early prediction of university dropouts - a random forest approach
We predict university dropout using random forests based on conditional inference trees and on a broad German data set covering a wide range of aspects of student life and study... -
Replication Data for: Predicting measurement error variance in social surveys
Social science commonly studies relationships among variables by employing survey questions. Answers to these questions will contain some degree of measurement error, distorting... -
Rain for Peru and Ecuador (RAIN4PE)
RAIN4PE is a novel daily gridded precipitation dataset obtained by merging multi-source precipitation data (satellite-based Climate Hazards Group InfraRed Precipitation, CHIRP...
