LibGuides: Datasets and API Resources: Home

Datasets and API Resources

The datasets and APIs listed here are provided for individual educational research purposes. Please be sure to comply with any terms of use or limitations set by the provider.

Please help us continue to build this list of resources. If you know of a dataset or API resource that we should include please email us at library@msoe.edu.

Alpha Vantage Stock Market API (Open Access)
Public-domain access to global financial and economic datasets including stocks, ETFs, company financials (SEC filings), foreign exchange rates, cryptocurrencies, and 50+ derived technical indicators. Microsoft Excel based access is also supported. You may refer to the guide for financial data integration code samples.

more... less...

24/7 technical support is available to MSOE members through support@alphavantage.co.
arXiv API
The arXiv API allows programmatic access to content and metadata from the Cornell University e-print arXiv, a document submission and retrieval system heavily used by the physics, mathematics and computer science communities.
Data.gov
Data.gov provides data, tools, and resources for the U.S. Government’s open data.
Digital Public Library of America API Codex
An API of the data contained in the Digital Public Library of America (DPLA) platform.
Kaggle
Kaggle is a data science community providing access to data science tools and resources.
ProgrammableWeb
This source provides a reliable API Directory along with news and information about APIs.
UC Irvine Machine Learning Repository
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community.

Advances in Data Science by Edwin Diday (Editor); Rong Guan (Editor); Gilbert Saporta (Editor); Huiwen Wang (Editor)
ISBN: 9781786305763

Publication Date: 2020-02-05
Enterprise API Management by Luis Weir; Zdenek "Z" Nemec (Foreword by)
ISBN: 9781787284432

Publication Date: 2019-07-23
Mastering Large Datasets with Python by John T. Wolohan
ISBN: 9781617296239

Publication Date: 2020-01-21

Many of the resources on this page were compiled from the following: