| Name | streaminghub-curator JSON |
| Version |
0.0.1
JSON |
| download |
| home_page | None |
| Summary | A web interface to package datasets with DFDS metadata |
| upload_time | 2024-07-05 19:46:12 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | Copyright (c) 2024 Old Dominion University Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: This work shall be cited in the bibliography as: Yasith Jayawardana, Vikas G. Ashok, and Sampath Jayarathna. 2022. StreamingHub: interactive stream analysis workflows. In Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries (JCDL '22). Association for Computing Machinery, New York, NY, USA, Article 15, 1-10. https://doi.org/10.1145/3529372.3530936 The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
dfds
metadata
packaging
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Streaminghub Curator
A web interface to package bio-signal datasets with DFDS metadata, which enables streaming their data into computational workflows with minimal effort.
## Usage Instructions
### Define Dataset and Files
### Extract Metadata from Paths/Names (Examples)
```plaintext
# ADHD_SIN dataset (e.g., 003ADHD_AV_103.csv)
(?P<subject>\d+)ADHD_AV_(?P<noise>0|5|10|15|20|25)(?P<task>\d+).csv
```
### Define Streams
### Assign File Attributes to Stream Fields
### Export Dataset
You just created a streamable dataset, cheers! Time to congratulate yourself with a cup of coffee.
Raw data
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