How-to: Wholesale Climate Station Data Exports
6/25/2026
The wholesale facility allows users to download a combined dataset of multiple stations/ parameters for a user defined time period as one csv file.
Pricing information
Wholesale specific pricing is derived by the requested number of products (N), requested period in years (Y, where Y is rounded up), wholesale unit price (P}
Wholesale Cost = N x Y x P
A minimum order price applies for commercial use as the price of one standard dataset
| Data Type | Unit price P | Minimum order price |
| Daily climate station data, Commercial use | $10 | $100 |
| Daily climate station data, Non-commercial use | $4 | $0 |
| Hourly climate station data, Commercial use | $20 | $200 |
| Hourly climate station data, Non-ommercial use | $8 | $0 |
Step-by-step
Step 1:
- Log in to DataHub
- Change your order type to "Wholesale" via clicking on your name in the top-right
Important Notes:
- Only datasets from a single product type (e.g. Climate time-series) can be added to an order at one time.
- Currently only Climate Station Daily and Climate Station Hourly is supported
Step 2:
- Select datasets you want to include in your wholesale order by clicking "Add to order"
- Open the cart, top right, and press “Review Order"
- Enter required data range, see below for details
- Tick the disclaimer checkboxes and submit the order.
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Step 3:
- Proceed through the Shopify checkout and place the order. The order should be free; however, please verify this before completing the purchase
- Navigate to the Ordered Products page, via clicking on your name, and wait for the Wholesale product to become available for download
- Download the data file and verify that its contents match the expected date range and selected datasets
Combined Time Period
When you’re ready to place your order you will be asked to input a date range to filter and compile the datasets by. The selected date range determines which records are retained in the compiled dataset. If the date range does not overlap with the date ranges of the selected datasets, there may be no data available to compile.
