Help:What is a Dataset: Difference between revisions
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= Types = | = Types = | ||
* '''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. | ||
* | * '''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: for example, highly processed datasets, blended satellite and in-situ data, retrievals and datasets based on other datasets. | * '''Derived/Processed Data:''' for example, highly processed datasets, blended satellite and in-situ data, retrievals and datasets based on other datasets. | ||
* Geospatial Data: | * '''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 = | = Not a Dataset = | ||
* software and data analysis scripts. The latter should be indexed, documented and distributed through the Ruisdael github page. | * 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. | * datasets that do not have any link to the Ruisdael project. | ||
Revision as of 08:46, 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.
- 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: for example, highly processed datasets, blended satellite and in-situ data, retrievals and 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.