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Organise your data in Mammoth's Data Library

Every project keeps its datasets in the Data Library, which you open with Data in the left sidebar. Anyone with access to the project can browse it. These guides cover the list itself, folders, one dataset's panel and settings, Views, Parameters and Trash, so you can keep a growing library tidy and recover what you remove.

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Read the Datasets list, its status chips and bulk actionsFind your way around the Data Library
Create, rename, move or download a folder, or set the order of a folder's rulesFolders and folder rules
See what a dataset holds and act on it from its side panelThe dataset panel
Change how new data is added, edit columns, manage batches or see historyDataset settings and history
Make a copy of a dataset, move it to another folder, or remove itCopy, move and delete datasets
Put the rows of several datasets togetherCombine datasets
Create, rename, duplicate, reset or delete a ViewViews: create, rename and delete
Stop a View updating on its own, or release data held for reviewControl when Views update with Auto-sync
Define a value or SQL block once and use it in many pipelinesParameters and snippets
Restore a deleted dataset, View, automation or dashboardGet things back from Trash
Add rows to a dataset or swap its file for a newer oneAdd or replace data
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