- API documentation
- Case studies
- Dimensions L&C documentation
- GBQ documentation
- Library Toolkit
- Use cases
With Dimensions, researchers have access to a vast collection of curated research outputs and tools that help them find what they need to advance their discoveries.
This guide provides a short overview of Dimensions navigation and functionality, including some sample searches you might like to try to get started.
This documentation contains high-level information about the project and its development, as well as the language’s features and usage.
This page contains Jupyter notebooks to show how to carry out common scholarly data analytics tasks using the Dimensions Analytics API.
Learn about the Dimensions Analytics API via code examples and Jupyter notebooks.
Tristan’s objective was to assess the current state of climate science resources and funding in Canada and use the results to offer recommendations to strengthen the field.
Digital Science offers data capabilities and the connected data to help life science organizations understand the Car-T research and development landscape.
Aruna Rajan is a Staff Market Research Analyst at Illumina. Aruna’s role involves providing strategic insights and actionable information from market models and other analyses.
Jenny Wooldridge, Senior Analyst in the analysis and evaluation team at the UK-based National Physical Laboratory describes how powerful Dimensions is at helping conduct vital research and strategic analyses.