Changes

However, to add new features and functions will require to add new content to existing data structures (which won’t break backwards compability, though).

Also new endpoints may be introduced over time like we did in v2.0.0.

Version 3.0.0

New Endpoints

  • /datasets: More generic series metadata which can have different value types
  • /platforms: More generic metadata from where observations are made

Platforms vs. Stations

Since v2.0 the following sensor platforms are supported:

  • stationary sensor platforms are fixed at a given site
  • mobile sensor platforms do observe data along a track
  • insitu sensor platforms do observe data at the location the platform is currently at
  • remote sensor platforms do observe data from distance (like cameras or satellites)

There are four possbile types of a platform can have: stationary_insitu, mobile_insitu, stationary_remote and mobile_remote. insitu platforms are associated with a platformLocation which can be either site or track. Additionally, remote platforms can reference observations to observedGeometries: Either a fix geometry (static or an observed geometry (dynamic) on its own (which may or may not vary over time e.g. sea water level via satellite).

By having more types filtering gets more important for clients to get the right data out from the API. So, the platform’s geometries can now grow and get very huge (e.g. moving platforms with long tracks). To make them better to handle from clients geometries can be filtered under /geometries endpoint. Therefore additional query parameters now exist:

  • platformTypes can be used to filter on all resources which ensures to only get those resources related to the given filter.
  • platformLocations to filter insitu geometries (site or track)
  • observedGeometries to filter remote geometries (static or dynamic)
  • geometryTypes cto filter on different geometries (like POINT or POLYGON)

The former Station resource relates to the combination of a stationary, insitu platform (located at a 0-dimensional location geometry) where quantity datasets are made. Retrieving the former output under /platforms endpoint, one can now filter via /platforms?platformTypes=stationary,insitu or still can get the collection via /stations.

Timeseries vs. Datasets

Shorthand: a dataset is more flexible. While timeseries only support quantity values (which are implicit) a dataset contains the valueType member which indicates the actual type of data (e.g. different scalar values or even aggregate types).

Check out in more detail under the Value Types section.

data/getData vs. observations

Naming of getData was a bit confusing within a RESTful API. That’s the reason why GETting data for a dataset has been renamed to data and then to observations (/datasets/<id>/observations) which is closer to the type of data returned. ).