---
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/).