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idiom-bytes 2023-03-23 14:42:42 -07:00
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veocean-data-farming/df-intro.md
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@ -27,7 +27,7 @@ Otherwise, go to the DF webapp at [df.oceandao.org](df.oceandao.org/) and explor
### Where to claim? ### Where to claim?
All earnings for veOCEAN holders are claimable on the ”Rewards” page inside the Data Farming webapp on Ethereum mainnet. All earnings for veOCEAN holders are claimable on the ”Rewards” page inside the Data Farming webapp on Ethereum mainnet.
Data assets for DF may published in any [network where Ocean’s deployed in production](https://docs.oceanprotocol.com/core-concepts/networks): Eth mainnet, Polygon, etc. Data assets for DF may published in any [network where Ocean’s deployed in production](../core-concepts/networks.md): Eth mainnet, Polygon, etc.
### When to claim? ### When to claim?
There are fresh rewards available every Thursday. If you wish, you can wait for many weeks to accumulate before claiming. (It’s all on-chain.) There are fresh rewards available every Thursday. If you wish, you can wait for many weeks to accumulate before claiming. (It’s all on-chain.)
@ -69,7 +69,7 @@ At the bottom-end, this eliminates some potential free-rider issues and smooths
![](images/ranked_rewards_study.png) ![](images/ranked_rewards_study.png)
You can read more about the implementation [in this blog post](https://blog.oceanprotocol.com/data-farming-df22-completed-df23-started-reward-function-tuned-ffd4359657ee) and find the full study [in these slides](https://docs.google.com/presentation/d/1zZdWfywruMPt6r7vfl0nQD8Fgj4wkfuMslZcWJmy3GE/edit?usp=sharing). You can read more about the implementation [in this blog post](https://blog.oceanprotocol.com/data-farming-df22-completed-df23-started-reward-function-tuned-ffd4359657ee) and find the full study [in these slides](https://docs.google.com/presentation/d/1HIA2zV8NUPpCELmi2WFwnAbHmFFrcXjNQiCpEqJ2Jdg/).
## 2x Stake - Publisher Rewards ## 2x Stake - Publisher Rewards
As part of our efforts to increase the efficiency of the Reward Function, we researched a broad range of improvements that could be implemented and discussed their many outcomes. As part of our efforts to increase the efficiency of the Reward Function, we researched a broad range of improvements that could be implemented and discussed their many outcomes.