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ESM Data Exploration with the Model Data Explorer

2023
Making Earth-System-Model (ESM) Data accessible is challenging due to the large amount of data that we are facing in this realm. The upload is time-consuming, expensive, technically complex, and every institution has their own procedures.Non-ESM experts face a lot of problems and pure data portals are hardly usable for inter- and trans-disciplinary ...
Philipp S. Sommer   +11 more
openaire   +1 more source

Data Exploration

2022
Terry A. Slocum   +3 more
openaire   +2 more sources

Exploring data:

2014
Robert E. Kass   +2 more
  +4 more sources

Data Exploration

2023
Wang He, Peng Liu, Qian Qian
openaire   +1 more source

Data exploration

2021
Peter C. Verhoef   +3 more
openaire   +2 more sources

Data exploration

Nature Methods, 2011
Noam Shoresh, Bang Wong
openaire   +1 more source

Exploring Area Data

2011
Here in this chapter, we first consider the visualisation of area data before examining a number of exploratory techniques. The focus is on spatial dependence (spatial association). In other words, the techniques we consider aim to describe spatial distributions, discover patterns of spatial clustering, and identify atypical observations (outliers ...
Fischer, Manfred M., Wang, Jinfeng
openaire   +2 more sources

Data Exploration

2012
Andrzej Gałecki, Tomasz Burzykowski
openaire   +2 more sources

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

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