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Add instructions for contributing to an existing dataset #14

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Jul 23, 2024
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Add instructions for contributing to an existing dataset #14

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Add instructions for contributing to an existing dataset
kabilar Jul 23, 2024
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Fix typo
kabilar Jul 23, 2024
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14 changes: 12 additions & 2 deletions docs/upload.md
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# Uploading data to lincbrain.org
**Note:** The steps below require access to https://lincbrain.org, which is a private repository for LINC project investigators.

## Create a new dataset
A dataset refers to a collection of brains that have been processed and imaged in a similar way. It typically contains data from multiple brains or samples, possibly imaged with multiple modalities. Log into lincbrain.org and click on the `NEW DATASET` button at the top right of the page. Fill out the title, description, and license. (The license option exists only because lincbrain.org is a clone of DANDI. It has no effect here, as lincbrain.org is a private repository.) Click on the `REGISTER DATASET` button to create the new dataset.
## Create a new dataset or contribute to an existing dataset
A dataset refers to a collection of brains that have been processed and imaged in a similar way. It typically contains data from multiple brains or samples, possibly imaged with multiple modalities.

1. Create a new dataset
1. Log into the [LINC Data Platform](lincbrain.org).
1. Click on the `NEW DATASET` button at the top right of the page.
1. Fill out the title, description, and license. (The license option exists only because lincbrain.org is a clone of DANDI. It has no effect here, as lincbrain.org is a private repository.)
1. Click on the `REGISTER DATASET` button to create the new dataset.
1. Contribue to an existing dataset

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Contribue ==> Contribute
1. Log into the [LINC Data Platform](lincbrain.org).
1. Browse the existing datasets under the [SHARED DATASETS](https://lincbrain.org/dandiset) tab.
1. Contact the `Owner` by email requesting that they add you as an `Owner` of the dataset.

## Install the lincbrain command-line interface (CLI)
On your local machine, install the [lincbrain CLI package](https://pypi.org/project/lincbrain-cli/) in a python environment:
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