- Data Categories
Agriculture Data 
B2B Data 
Biometric Data 
Company Data 
Conservation Data 
Demographic Data 
Economic Data 
Environmental Data 
Geospatial Data 
Healthcare Data 
Individual Data 
Industry-Specific Data 
Internet of Things (IoT) Data 
Legal and IP Data 
People and Employment Data 
Political Data 
Psychology Data 
Real Estate Data 
Retail & Commerce Data 
Social Data 
Sports & Entertainment Data 
Web Data
- Data Categories
- Agriculture Data
- B2B Data
- Biometric Data
- Company Data
- Conservation Data
- Demographic Data
- Economic Data
- Environmental Data
- Geospatial Data
- Healthcare Data
- Individual Data
- Industry-Specific Data
- Internet of Things (IoT) Data
- Legal and IP Data
- People and Employment Data
- Political Data
- Psychology Data
- Real Estate Data
- Retail & Commerce Data
- Social Data
- Sports & Entertainment Data
- Web Data
What Is Neuroscience Data?
Neuroscience is the study of the nervous system: the brain, the spinal cord, and the nerves that transmit electrical impulses throughout the body. Neuroscience data, therefore, is the collection of data about the structure, function, and development of the nervous system.
Where Does Neuroscience Data Come From?
The main sources of this data are studies and images published by doctors and researchers. Additionally, a range of free, open-source databases collect many of these studies for public use.
What Types of Columns/Attributes Should I Expect When Working with This Data?
Neuroscientific data attributes consist of scientific studies of the nervous system—as much as doctors can observe without invasive procedures. Images from fMRI, PET, and EEG scans are also common in this data category.
What Is This Data Used For?
The primary use of this data is to improve healthcare. However, business professionals also show interest in neuroscience to inform, for example, marketing campaigns.
How Should I Test the Quality of Neuroscience Data?
Researchers cannot measure or experiment very much on the nervous system of live subjects, which limits the accuracy and completeness of the data. However, the available neuroscientific data are good quality as the published studies pass the quality assurance tests of scientists. Therefore, you can build a complete and relevant dataset with only careful consideration of your needs.
Interesting Case Studies and Blogs to Look Into
Towards Data Science: BrainOS — The Most Brain-Like AI
KDnuggets: Neuroscience for Data Scientists: Understanding Human Behaviour
Tangible Examples of Impact
Researchers can also study the nervous system outside of the lab—especially with new technologies. For example, a new game application collects neuroscientific data from casual players:
The app, she said, plays host to gold-standard cognitive neuroscience tests in the form of interactive games users can play on their phone. [Researchers collate the] data from these gaming experiences … with information provided by users on their diet, exercise and mental health, so that a distraction in your downtime can become a useful tool for researchers.
….“Even with advertising costs [we acquire] new users at a cost that’s rare in academic research, especially given the amount of data we are able to collect per user,” said Gillan.
Best Drug Discovery Data Providers?
Relevant datasets
Graticule Health Systems
Graticule Health Systems main objective is to discover new algorithms to reduce the diagnostic odyssey for patients with treatable rare diseases and for a better health care information.
EMIS Health EMIS Web
EMIS Health EMIS Web allows healthcare providers, community care services and hospitals to share expertise and information between their varying areas improving customer care and safety.
EMIS Health Hospital Medicines Management
Hospital Medicine Management services by EMIS Health allows clinicians to stay informed of vital patient data to make informed prescription decisions that reduce risks and streamline processes.