For academic research

1. Dataset Sources
Repositories data
Supervised by
Asst. Prof. Dr. Ahmed Aljanabi
Department of Computer Science
Faculty of CS and Mathematics
University of Kufa
Muntathar manhar muhsin
Ph D in Computer Science

2. Introduction
For academic research, you can rely on
scientific sources and websites that provide
reliable data sets.
The best way to publish and share research
data is with a research data repository. A
repository is an online database that allows
research data to be preserved across time and
helps others find it.

3. Introduction
Here are some sites and engines you can use to find
datasets for academic research purposes
1. Lincoln Centre for Autonomous Systems (LCAS)
2. Mendeley Data
3. Nasdaq Data Link
4. Harvard Dataverse
5. Harvard Dataverse
6. Dryad Digital Repository
7. Network Repository
8. When using these resources, be sure to read and
understand the terms of use of the data sets and ensure
compliance with any applicable laws or licenses.

4. Lincoln Centre for Autonomous Systems
(LCAS)
 Research center based at the University of Lincoln in UK.
 Cross-Disciplinary in Robotics Research.
 Specializes in technologies for perception, learning, decision-making,
control, and interaction in autonomous systems, especially mobile
robots and robotic manipulators,
 and the integration of these capabilities in application domains
including
 Agri-food,
 Healthcare,
 Intelligent transportation,
 Logistics,
 Nuclear robotics,
 Service robotics, and
 Space robotics.
The website : https://lcas.lincoln.ac.uk/wp/

5. Lincoln Centre for Autonomous Systems
(LCAS)
The link to access the website is
https://lcas.lincoln.ac.uk/wp/
Website interface:

6. Mendeley Data
Mendeley Data is a free and secure cloud-based
communal repository.
Research data can be found in fields, including to:
Natural Sciences and Mathematics
Engineering
Life sciences
Medical and health sciences
Social sciences
Humanities.
The website : https://data.mendeley.com/

8. Nasdaq Data Link
 Nasdaq Data Link A premier source for financial, economic
and alternative datasets.
 Data Type
 Prices & Volumes
 Estimates
 Fundamentals
 Corporate Actions
 Sentiment
 Derived Metrics
 National Statistics
 Technical Analysis
 Others
The website :

10. figshare
 Open access data repository.
Datasets: images, and videos.
Figshare allows researchers to upload any file format
and assigns a digital object identifier (doi) for
citations.
Free accounts on figshare can upload files of up to 5gb
and get 20gb of free storage.
fields:
Software and Code
Models and Simulations
Machine Learning and Data Science
The website : https://figshare.com/

12. Harvard Dataverse
 The harvard dataverse repository is a free data repository
open to all researchers from any discipline, both inside and
outside of the harvard community,
 Can share, archive, cite, access, and explore research data.
 You can open your data to the general public, or restrict
access and define customizable terms of use. When you
publish your data, you automatically get a standard data
citation with a digital object identifier (DOI).
 Powered by the open-source web application dataverse,
developed by the insitute of quantitative social science at
harvard.
 Is free and has a limit of 2.5 GB per file and 10 GB per
dataset.
Website source : https://dataverse.harvard.edu/

14. Dryad Digital Repository
Dryad is a curated general-purpose repository that
makes data discoverable, freely reusable, and citable.
Most types of files can be submitted (e.g., text,
spreadsheets, video, photographs, software code)
including compressed archives of multiple files.
Since a guiding principle of Dryad is to make its
contents freely available for research and educational
use, there are no access costs for individual users or
institutions. Instead, Dryad supports its operation by
charging a $120US fee each time data is published.
Website source : https://datadryad.org/stash

16. Network Repository
The first interactive data and network data repository with real-time
visual analytics. Network repository is not only the first interactive
repository, but also the largest network repository with thousands of
donations in 30+ domains (from biological to social network
data). This large comprehensive collection of network graph data is
useful for making significant research findings as well as
benchmark network data sets for a wide variety of applications and
domains (e.g., network science, bioinformatics, machine learning,
data mining, physics, and social science) and includes relational,
attributed, heterogeneous, streaming, spatial, and time series
network data as well as non-relational machine learning data. All
graph data sets are easily downloaded into a standard consistent
format. We also have built a multi-level interactive graph analytics
engine that allows users to visualize the structure of the network
data as well as macro-level graph data statistics as well as
important micro-level network properties of the nodes and edges.
Check out GraphVis: the interactive visual network mining and
machine learning tool.
Website source : https://networkrepository.com/

18. Thank you
https://www.slideshare.net/mantatheralyasr
iy/dataset-sources-repositoriespptx-cbb4