Help:What is a Dataset: Difference between revisions
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* '''Model outputs''': The output of numerical weather prediction models, such as DALES, HARMONIE and other types of numerical simulations, reanalyses and forecasts. | * '''Model outputs''': The output of numerical weather prediction models, such as DALES, HARMONIE and other types of numerical simulations, reanalyses and forecasts. This category partially overlaps with the "Derived/Processed data" category. | ||
* '''In-situ observations:''' these are datasets collected directly at the location of interest. | * '''In-situ observations:''' these are datasets collected directly at the location of interest. | ||
* '''Remote-sensing observations:''' (Datasets collected from a distance, typically using satellites or ground-based remote sensors.) | * '''Remote-sensing observations:''' (Datasets collected from a distance, typically using satellites or ground-based remote sensors.) |
Revision as of 08:49, 10 December 2024
The catalog lists many different types of data.
Types
- Model outputs: The output of numerical weather prediction models, such as DALES, HARMONIE and other types of numerical simulations, reanalyses and forecasts. This category partially overlaps with the "Derived/Processed data" category.
- In-situ observations: these are datasets collected directly at the location of interest.
- Remote-sensing observations: (Datasets collected from a distance, typically using satellites or ground-based remote sensors.)
- Derived/Processed Data: highly processed datasets such as blended satellite and in-situ data, physical retrievals, reanalyses and higher-level datasets based on other datasets.
- Geospatial Data: datasets that include spatial information about the Earth's surface, sub-surface and atmosphere. For example GIS layers, coordinate systems, grids, projections etc..
Not a Dataset
- software and data analysis scripts. The latter should be indexed, documented and distributed through the Ruisdael github page.
- datasets that do not have any link to the Ruisdael project.