Update README.md
Browse files
README.md
CHANGED
|
@@ -1,9 +1,27 @@
|
|
| 1 |
---
|
| 2 |
tags:
|
|
|
|
|
|
|
|
|
|
| 3 |
- EEG
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
---
|
| 5 |
Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
|
| 6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
***CrowdsSourced*** consists of EEG data collected as part of a study investigating brain activity during a resting state task, which included two conditions: *eyes open* and *eyes closed*, each lasting 2 minutes. The dataset contains EEG recordings from 60 participants, but only 13 successfully completed both conditions. The recordings were captured using 14-channel EEG headsets—specifically the *Emotiv EPOC+*, *EPOC X*, and *EPOC* devices. These devices provide high-quality, wireless brainwave data that is ideal for analyzing resting-state brain activity [1].
|
| 8 |
|
| 9 |
The data was initially recorded at a high frequency of 2048 Hz and later downsampled to 128 Hz for processing. To segment the data for analysis, we used a 2-second window (equivalent to 256 time steps) with a 32 time-step stride to capture the dynamics of brain activity while maintaining a manageable data size. The raw EEG data for the 13 participants, along with preprocessing steps, analysis scripts, and visualization tools, are openly available on the Open Science Framework [2]. This version of the dataset has been split into cross-validation folds based on participant.
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
+
- time series
|
| 4 |
+
- time series classification
|
| 5 |
+
- monster
|
| 6 |
- EEG
|
| 7 |
+
pretty_name: CrowdSource
|
| 8 |
+
license: other
|
| 9 |
+
size_categories:
|
| 10 |
+
- 10K<n<100K
|
| 11 |
---
|
| 12 |
Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
|
| 13 |
|
| 14 |
+
|CornellWhaleChallenge||
|
| 15 |
+
|-|-:|
|
| 16 |
+
|Category|Audio|
|
| 17 |
+
|Num. Examples|12,289|
|
| 18 |
+
|Num. Channels|14|
|
| 19 |
+
|Length|256|
|
| 20 |
+
|Sampling Freq.|128 Hz|
|
| 21 |
+
|Num. Classes|2|
|
| 22 |
+
|License|Other|
|
| 23 |
+
|Citations|[1] [2]|
|
| 24 |
+
|
| 25 |
***CrowdsSourced*** consists of EEG data collected as part of a study investigating brain activity during a resting state task, which included two conditions: *eyes open* and *eyes closed*, each lasting 2 minutes. The dataset contains EEG recordings from 60 participants, but only 13 successfully completed both conditions. The recordings were captured using 14-channel EEG headsets—specifically the *Emotiv EPOC+*, *EPOC X*, and *EPOC* devices. These devices provide high-quality, wireless brainwave data that is ideal for analyzing resting-state brain activity [1].
|
| 26 |
|
| 27 |
The data was initially recorded at a high frequency of 2048 Hz and later downsampled to 128 Hz for processing. To segment the data for analysis, we used a 2-second window (equivalent to 256 time steps) with a 32 time-step stride to capture the dynamics of brain activity while maintaining a manageable data size. The raw EEG data for the 13 participants, along with preprocessing steps, analysis scripts, and visualization tools, are openly available on the Open Science Framework [2]. This version of the dataset has been split into cross-validation folds based on participant.
|