--- title: Publish a Data Set description: Tutorial to add dataset publishing capabilities to a basic React app. --- ## Requirements This is a continuation of the [React App Setup](/tutorials/react-setup/) tutorial, so make sure you have done all the steps described in there. Open `src/App.js` in your marketplace app from the [React App Setup](/tutorials/react-setup/) tutorial. ## Define Asset First, let's add the [asset](/concepts/terminology/#asset-or-data-asset) that we want to publish. To do that, we need to add the following code after `window.ethereum.enable()` line, defining our asset based on the [OEP-08](https://github.com/oceanprotocol/OEPs/tree/master/8) metadata structure: ```js const asset = { base: { name: '10 Monkey Species Small', dateCreated: '2012-02-01T10:55:11Z', author: 'Mario', license: 'CC0: Public Domain', contentType: 'jpg/txt', price: 10, files: [ { checksum: '2bf9d229d110d1976cdf85e9f3256c7f', checksumType: 'MD5', contentLength: 12057507, url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/training.zip' }, { checksum: '354d19c0733c47ef3a6cce5b633116b0', checksumType: 'MD5', contentLength: 928, url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/monkey_labels.txt' }, { url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/validation.zip' } ], checksum: '', categories: ['image'], tags: ['image data', 'classification', 'animals'], type: 'dataset', description: 'EXAMPLE ONLY ', size: '3.1gb', copyrightHolder: 'Unknown', encoding: 'UTF-8', compression: 'zip', workExample: 'image path, id, label', links: [ { name: 'example model', url: 'https://drive.google.com/open?id=1uuz50RGiAW8YxRcWeQVgQglZpyAebgSM' }, { name: 'example code', type: 'example code', url: 'https://github.com/slothkong/CNN_classification_10_monkey_species' }, { url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/links/discovery/n5151.jpg', name: 'n5151.jpg', type: 'discovery' }, { url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/links/sample/sample.zip', name: 'sample.zip', type: 'sample' } ], inLanguage: 'en' } } ``` ## Handle Asset Publishing Now that we have an asset to submit, we need a function to handle it. Just before `render() {` let's add this function: ```js async submitAsset() { const accounts = await this.ocean.accounts.list() const ddo = await this.ocean.assets.create(asset, accounts[0]) alert('Asset successfully submitted: ', JSON.stringify(ddo)) } ``` The last thing we need is a button to start our registration inside the render function just after `

Marketplace app

`: ```jsx ``` Tip: Before clicking the `Register asset` button, it might help to reload the page. When you click on the `Register asset` button, you should get four separate dialog boxes from MetaMask, in a series, i.e. the second one only appears after you accept/approve the first one, and so on. If you have no errors in your `console.log`, then you have successfully registered an asset. ## Final Result Here is the full source of `src/App.js` that you should have if you followed this tutorial: ```jsx import React, { Component } from 'react' import './App.css' import { Ocean } from '@oceanprotocol/squid' import * as Web3 from 'web3' const web3 = new Web3(window.web3.currentProvider) window.ethereum.enable() const asset = { base: { name: '10 Monkey Species Small', dateCreated: '2012-02-01T10:55:11Z', author: 'Mario', license: 'CC0: Public Domain', contentType: 'jpg/txt', price: 10, files: [ { checksum: '2bf9d229d110d1976cdf85e9f3256c7f', checksumType: 'MD5', contentLength: 12057507, url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/training.zip' }, { checksum: '354d19c0733c47ef3a6cce5b633116b0', checksumType: 'MD5', contentLength: 928, url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/monkey_labels.txt' }, { url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/validation.zip' } ], checksum: '', categories: ['image'], tags: ['image data', 'classification', 'animals'], type: 'dataset', description: 'EXAMPLE ONLY ', size: '3.1gb', copyrightHolder: 'Unknown', encoding: 'UTF-8', compression: 'zip', workExample: 'image path, id, label', links: [ { name: 'example model', url: 'https://drive.google.com/open?id=1uuz50RGiAW8YxRcWeQVgQglZpyAebgSM' }, { name: 'example code', type: 'example code', url: 'https://github.com/slothkong/CNN_classification_10_monkey_species' }, { url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/links/discovery/n5151.jpg', name: 'n5151.jpg', type: 'discovery' }, { url: 'https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/links/sample/sample.zip', name: 'sample.zip', type: 'sample' } ], inLanguage: 'en' } } class App extends Component { async componentDidMount() { this.ocean = await new Ocean.getInstance({ web3Provider: web3, nodeUri: 'http://localhost:8545', aquariusUri: 'http://localhost:5000', brizoUri: 'http://localhost:8030', brizoAddress: '0x00bd138abd70e2f00903268f3db08f2d25677c9e', parityUri: 'http://localhost:8545', secretStoreUri: 'http://localhost:12001' }) console.log('Finished loading contracts!') } async submitAsset() { const accounts = await this.ocean.accounts.list() const ddo = await this.ocean.assets.create(asset, accounts[0]) alert('Asset successfully submitted: ', JSON.stringify(ddo)) } render() { return (

Marketplace app

) } } export default App ``` Move on to [Get & Use a Data Set](/tutorials/react-get-use-data-set/).