Defining a WaterML Dataset

Define a dataset by specifying the destination and frequency, then add observations to include in the dataset.

To define a dataset:

Create the dataset

1. Click Datasets to open the Datasets module.
2. Click Add New Dataset to define a new dataset and complete the following properties:

   Property	Description
   Name	Provide a descriptive name for this dataset
   Organisation	Choose a destination organisation for which you have configured connection credentials. See Creating a Credential for more details.
   Status	Extracts can only be run from Active datasets. Set a dataset to Inactive to temporarily suspend extracts from the dataset. Retire a dataset if you do not intend to use it again. Retired datasets cannot be edited but are retained for auditing purposes.

3. Click Save to save your changes.

Add an observation to the dataset

1. Select the dataset that you just created and open the Observation tab.
2. Click Insert. This will add an observation based on the data from a single tag.

   Note

   You can also add multiple observations at once. See Adding Multiple Observations to a WDTF Dataset for more details.

3. Enter the following properties:

   Property	Description
   Status	Set the status to Active to include this observation in dataset extracts. Set the status to Inactive to temporarily prevent extraction of this observation.
   Tag	Use the chooser to select a source tag.
   Unit Conversion	If the source reading has a different unit from the unit required for the water data type, apply an appropriate conversion factor here. For example, if the water level has been recorded in centimeters but is expected in meters, enter 100 as the unit conversion.
   Description	Select the observation type from the drop-down list. This will populate the other Observation fields. See Observation Types Module for more information about observation types

4. Click Save to save the observation.