Skip to content

Commit c9fe2f2

Browse files
bruAristimunhabruAristimunha
authored
[MNT] fixing issue with sorting cols (#705)
1 parent 8fee7cd commit c9fe2f2

File tree

5 files changed

+62
-62
lines changed

5 files changed

+62
-62
lines changed

‎moabb/datasets/summary_cvep.csv‎

Lines changed: 7 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,7 @@
1-
Dataset, #Subj, #Sessions, Sampling rate, #Chan, Trials length, #Trial classes, #Trials / class, #Epochs classes, #Epochs / class, Codes, Presentation rate, PapersWithCode leaderboard
2-
Thielen2015,12,1,2048Hz,64,4.2s,36,3,2,27216 NT / 27216 T,Gold codes,120Hz,
3-
Thielen2021,30,1,512Hz,8,31.5s,20,5,2,18900 NT / 18900 T,Gold codes,60Hz,
4-
CastillosCVEP100, 12,1,500Hz,32,2.2s,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz,
5-
CastillosCVEP40, 12,1,500Hz,32,2.2s,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz,
6-
CastillosBurstVEP40, 12,1,500Hz,32,2.2s,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz,
7-
CastillosBurstVEP100,12,1,500Hz,32,2.2s,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz,
1+
Dataset, #Subj, #Sessions, Freq(Hz), #Chan, Trials length (s), #Trial classes, #Trials / class, #Epochs classes, #Epochs / class, Codes, Presentation rate, PapersWithCode leaderboard
2+
Thielen2015,12,1,2048,64,4.2,36,3,2,27216 NT / 27216 T,Gold codes,120Hz,
3+
Thielen2021,30,1,512,8,31.5,20,5,2,18900 NT / 18900 T,Gold codes,60Hz,
4+
CastillosCVEP100, 12,1,500,32,2.2,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz,
5+
CastillosCVEP40, 12,1,500,32,2.2,4,15/15/15/15,2,3525 NT / 3495 T,m-sequence,60Hz,
6+
CastillosBurstVEP40, 12,1,500,32,2.2,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz,
7+
CastillosBurstVEP100,12,1,500,32,2.2,4,15/15/15/15,2,5820 NT / 1200 T,Burst-CVEP,60Hz,

‎moabb/datasets/summary_imagery.csv‎

Lines changed: 19 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -1,19 +1,19 @@
1-
Dataset, #Subj, #Chan, #Classes, #Trials / class, Trial length, Freq, #Session, #Runs, Total_trials, PapersWithCode leaderboard
2-
AlexMI,8,16,3,20,3s,512Hz,1,1,480,https://paperswithcode.com/dataset/alexandremotorimagery-moabb
3-
BNCI2014_001,9,22,4,144,4s,250Hz,2,6,62208,https://paperswithcode.com/dataset/bnci2014-001-moabb-1
4-
BNCI2014_002,14,15,2,80,5s,512Hz,1,8,17920,https://paperswithcode.com/dataset/bnci2014-002-moabb-1
5-
BNCI2014_004,9,3,2,360,4.5s,250Hz,5,1,32400,https://paperswithcode.com/dataset/bnci2014-004-moabb-1
6-
BNCI2015_001,12,13,2,200,5s,512Hz,3,1,14400,https://paperswithcode.com/dataset/bnci2015-001-moabb-1
7-
BNCI2015_004,9,30,5,80,7s,256Hz,2,1,7200,https://paperswithcode.com/dataset/bnci2015-004-moabb-1
8-
Cho2017,52,64,2,100,3s,512Hz,1,1,9800,https://paperswithcode.com/dataset/cho2017-moabb
9-
Lee2019_MI,54,62,2,100,4s,1000Hz,2,1,11000,https://paperswithcode.com/dataset/lee2019-mi-moabb-1
10-
GrosseWentrup2009,10,128,2,150,7s,500Hz,1,1,3000,https://paperswithcode.com/dataset/grossewentrup2009-moabb
11-
Schirrmeister2017,14,128,4,120,4s,500Hz,1,2,13440,https://paperswithcode.com/dataset/schirrmeister2017-moabb
12-
Ofner2017,15,61,7,60,3s,512Hz,1,10,63000,
13-
PhysionetMI,109,64,4,23,3s,160Hz,1,1,69760,https://paperswithcode.com/dataset/physionetmotorimagery-moabb
14-
Shin2017A,29,30,2,30,10s,200Hz,3,1,5220,https://paperswithcode.com/dataset/shin2017a-moabb
15-
Shin2017B,29,30,2,30,10s,200Hz,3,1,5220,
16-
Weibo2014,10,60,7,80,4s,200Hz,1,1,5600,https://paperswithcode.com/dataset/weibo2014-moabb
17-
Zhou2016,4,14,3,160,5s,250Hz,3,2,11496,https://paperswithcode.com/dataset/zhou2016-moabb
18-
Stieger2021,62,64,4,450,3s,1000Hz,7 or 11,1,250000,
19-
Liu2024,50,29,2,20,4s,500Hz,1,1,2000,
1+
Dataset, #Subj, #Chan, #Classes, #Trials / class, Trial length(s), Freq(Hz), #Session, #Runs, Total_trials, PapersWithCode leaderboard
2+
AlexMI,8,16,3,20,3,512,1,1,480,https://paperswithcode.com/dataset/alexandremotorimagery-moabb
3+
BNCI2014_001,9,22,4,144,4,250,2,6,62208,https://paperswithcode.com/dataset/bnci2014-001-moabb-1
4+
BNCI2014_002,14,15,2,80,5,512,1,8,17920,https://paperswithcode.com/dataset/bnci2014-002-moabb-1
5+
BNCI2014_004,9,3,2,360,4.5,250,5,1,32400,https://paperswithcode.com/dataset/bnci2014-004-moabb-1
6+
BNCI2015_001,12,13,2,200,5,512,3,1,14400,https://paperswithcode.com/dataset/bnci2015-001-moabb-1
7+
BNCI2015_004,9,30,5,80,7,256,2,1,7200,https://paperswithcode.com/dataset/bnci2015-004-moabb-1
8+
Cho2017,52,64,2,100,3,512,1,1,9800,https://paperswithcode.com/dataset/cho2017-moabb
9+
Lee2019_MI,54,62,2,100,4,1000,2,1,11000,https://paperswithcode.com/dataset/lee2019-mi-moabb-1
10+
GrosseWentrup2009,10,128,2,150,7,500,1,1,3000,https://paperswithcode.com/dataset/grossewentrup2009-moabb
11+
Schirrmeister2017,14,128,4,120,4,500,1,2,13440,https://paperswithcode.com/dataset/schirrmeister2017-moabb
12+
Ofner2017,15,61,7,60,3,512,1,10,63000,
13+
PhysionetMI,109,64,4,23,3,160,1,1,69760,https://paperswithcode.com/dataset/physionetmotorimagery-moabb
14+
Shin2017A,29,30,2,30,10,200,3,1,5220,https://paperswithcode.com/dataset/shin2017a-moabb
15+
Shin2017B,29,30,2,30,10,200,3,1,5220,
16+
Weibo2014,10,60,7,80,4,200,1,1,5600,https://paperswithcode.com/dataset/weibo2014-moabb
17+
Zhou2016,4,14,3,160,5,250,3,2,11496,https://paperswithcode.com/dataset/zhou2016-moabb
18+
Stieger2021,62,64,4,450,3,1000,7 or 11,1,250000,
19+
Liu2024,50,29,2,20,4,500,1,1,2000,

‎moabb/datasets/summary_p300.csv‎

Lines changed: 24 additions & 24 deletions
Original file line numberDiff line numberDiff line change
@@ -1,24 +1,24 @@
1-
Dataset, #Subj, #Chan, #Trials / class, Trials length, Sampling rate, #Sessions, PapersWithCode leaderboard
2-
BNCI2014_008, 8, 8, 3500 NT / 700 T, 1s, 256Hz, 1,https://paperswithcode.com/dataset/bnci2014-008-moabb-1
3-
BNCI2014_009, 10, 16, 1440 NT / 288 T, 0.8s, 256Hz, 3,https://paperswithcode.com/dataset/bnci2014-009-moabb-1
4-
BNCI2015_003, 10, 8, 1500 NT / 300 T, 0.8s, 256Hz, 1,https://paperswithcode.com/dataset/bnci2015-003-moabb-1
5-
BI2012, 25, 16, 640 NT / 128 T, 1s, 128Hz, 2,https://paperswithcode.com/dataset/braininvaders2012-moabb
6-
BI2013a, 24, 16, 3200 NT / 640 T, 1s, 512Hz, 8 for subjects 1-7 else 1,https://paperswithcode.com/dataset/braininvaders2013a-moabb
7-
BI2014a, 64, 16, 990 NT / 198 T, 1s, 512Hz, up to 3,https://paperswithcode.com/dataset/braininvaders2014a-moabb
8-
BI2014b, 38, 32, 200 NT / 40 T, 1s, 512Hz, 3,https://paperswithcode.com/dataset/braininvaders2014b-moabb
9-
BI2015a, 43, 32, 4131 NT / 825 T, 1s, 512Hz, 3,https://paperswithcode.com/dataset/braininvaders2015a-moabb
10-
BI2015b, 44, 32, 2160 NT / 480 T, 1s, 512Hz, 1,https://paperswithcode.com/dataset/braininvaders2015b-moabb
11-
Cattan2019_VR, 21, 16, 600 NT / 120 T, 1s, 512Hz, 2,https://paperswithcode.com/dataset/cattan2019-vr-moabb-1
12-
Huebner2017, 13, 31, 364 NT / 112 T, 0.9s, 1000Hz, 3,https://paperswithcode.com/dataset/huebner2017-moabb
13-
Huebner2018, 12, 31, 364 NT / 112 T, 0.9s, 1000Hz, 3,https://paperswithcode.com/dataset/huebner2018-moabb
14-
Sosulski2019, 13, 31, 7500 NT / 1500 T, 1.2s, 1000Hz, 1,https://paperswithcode.com/dataset/sosulski2019-moabb
15-
EPFLP300, 8, 32, 2753 NT / 551 T, 1s, 2048Hz, 4,https://paperswithcode.com/dataset/epflp300-moabb
16-
Lee2019_ERP, 54, 62, 6900 NT / 1380 T, 1s, 1000Hz, 2,https://paperswithcode.com/dataset/lee2019-erp-moabb-1
17-
DemonsP300, 60, 8, 935 NT / 50 T, 1s, 500Hz, 1,
18-
ErpCore2021_N170, 40, 30, 240 NT / 80 T , 1s, 1024Hz, 1,
19-
ErpCore2021_MMN, 40, 30, 800 NT / 200 T, 1s, 1024Hz, 1,
20-
ErpCore2021_N2pc, 40, 30, 160 NT / 160 T, 1s, 1024Hz, 1,
21-
ErpCore2021_P3, 40, 30, 160 NT / 40 T, 1s, 1024Hz, 1,
22-
ErpCore2021_N400, 40, 30, 60 NT / 60 T, 1s, 1024Hz, 1,
23-
ErpCore2021_ERN, 40, 30, ~400 All, 1s, 1024Hz, 1,
24-
ErpCore2021_LRP, 40, 30, ~400 All, 1s, 1024Hz, 1,
1+
Dataset, #Subj, #Chan, #Trials / class, Trials length(s), Freq(Hz), #Sessions, PapersWithCode leaderboard
2+
BNCI2014_008, 8, 8, 3500 NT / 700 T, 1, 256, 1,https://paperswithcode.com/dataset/bnci2014-008-moabb-1
3+
BNCI2014_009, 10, 16, 1440 NT / 288 T, 0.8, 256, 3,https://paperswithcode.com/dataset/bnci2014-009-moabb-1
4+
BNCI2015_003, 10, 8, 1500 NT / 300 T, 0.8, 256, 1,https://paperswithcode.com/dataset/bnci2015-003-moabb-1
5+
BI2012, 25, 16, 640 NT / 128 T, 1, 128, 2,https://paperswithcode.com/dataset/braininvaders2012-moabb
6+
BI2013a, 24, 16, 3200 NT / 640 T, 1, 512, 8 for subjects 1-7 else 1,https://paperswithcode.com/dataset/braininvaders2013a-moabb
7+
BI2014a, 64, 16, 990 NT / 198 T, 1, 512, up to 3,https://paperswithcode.com/dataset/braininvaders2014a-moabb
8+
BI2014b, 38, 32, 200 NT / 40 T, 1, 512, 3,https://paperswithcode.com/dataset/braininvaders2014b-moabb
9+
BI2015a, 43, 32, 4131 NT / 825 T, 1, 512, 3,https://paperswithcode.com/dataset/braininvaders2015a-moabb
10+
BI2015b, 44, 32, 2160 NT / 480 T, 1, 512, 1,https://paperswithcode.com/dataset/braininvaders2015b-moabb
11+
Cattan2019_VR, 21, 16, 600 NT / 120 T, 1, 512, 2,https://paperswithcode.com/dataset/cattan2019-vr-moabb-1
12+
Huebner2017, 13, 31, 364 NT / 112 T, 0.9, 1000, 3,https://paperswithcode.com/dataset/huebner2017-moabb
13+
Huebner2018, 12, 31, 364 NT / 112 T, 0.9, 1000, 3,https://paperswithcode.com/dataset/huebner2018-moabb
14+
Sosulski2019, 13, 31, 7500 NT / 1500 T, 1.2, 1000, 1,https://paperswithcode.com/dataset/sosulski2019-moabb
15+
EPFLP300, 8, 32, 2753 NT / 551 T, 1, 2048, 4,https://paperswithcode.com/dataset/epflp300-moabb
16+
Lee2019_ERP, 54, 62, 6900 NT / 1380 T, 1, 1000, 2,https://paperswithcode.com/dataset/lee2019-erp-moabb-1
17+
DemonsP300, 60, 8, 935 NT / 50 T, 1, 500, 1,
18+
ErpCore2021_N170, 40, 30, 240 NT / 80 T , 1, 1024, 1,
19+
ErpCore2021_MMN, 40, 30, 800 NT / 200 T, 1, 1024, 1,
20+
ErpCore2021_N2pc, 40, 30, 160 NT / 160 T, 1, 1024, 1,
21+
ErpCore2021_P3, 40, 30, 160 NT / 40 T, 1, 1024, 1,
22+
ErpCore2021_N400, 40, 30, 60 NT / 60 T, 1, 1024, 1,
23+
ErpCore2021_ERN, 40, 30, ~400 All, 1, 1024, 1,
24+
ErpCore2021_LRP, 40, 30, ~400 All, 1, 1024, 1,

‎moabb/datasets/summary_rstate.csv‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
Dataset, #Subj, #Chan, #Classes, #Blocks / class, Trials length, Sampling rate, #Sessions, PapersWithCode leaderboard
2-
Cattan2019_PHMD,12,16,2,10,60s,512Hz,1,
3-
Hinss2021,15,62,4,1,2s,250Hz,1,
4-
Rodrigues2017,20,16,2,5,10s,512Hz,1,
1+
Dataset, #Subj, #Chan, #Classes, #Blocks / class, Trials length(s), Freq(Hz), #Sessions, PapersWithCode leaderboard
2+
Cattan2019_PHMD,12,16,2,10,60,512,1,
3+
Hinss2021,15,62,4,1,2,250,1,
4+
Rodrigues2017,20,16,2,5,10,512,1,

‎moabb/datasets/summary_ssvep.csv‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -1,8 +1,8 @@
1-
Dataset, #Subj, #Chan, #Classes, #Trials / class, Trials length, Sampling rate, #Sessions, PapersWithCode leaderboard
2-
Lee2019_SSVEP,54,62,4,50,4s,1000Hz,2,https://paperswithcode.com/dataset/lee2019-ssvep-moabb-1
3-
Kalunga2016,12,8,4,16,2s,256Hz,1,https://paperswithcode.com/dataset/kalunga2016-moabb
4-
MAMEM1,10,256,5,12-15,3s,250Hz,1,https://paperswithcode.com/dataset/mamem1-moabb
5-
MAMEM2,10,256,5,20-30,3s,250Hz,1,https://paperswithcode.com/dataset/mamem2-moabb
6-
MAMEM3,10,14,4,20-30,3s,128Hz,1,https://paperswithcode.com/dataset/mamem3-moabb
7-
Nakanishi2015,9,8,12,15,4.15s,256Hz,1,https://paperswithcode.com/dataset/nakanishi2015-moabb
8-
Wang2016,34,62,40,6,5s,250Hz,1,https://paperswithcode.com/dataset/wang2016-moabb
1+
Dataset, #Subj, #Chan, #Classes, #Trials / class, Trials length(s),Freq(Hz), #Sessions, PapersWithCode leaderboard
2+
Lee2019_SSVEP,54,62,4,50,4s,1000,2,https://paperswithcode.com/dataset/lee2019-ssvep-moabb-1
3+
Kalunga2016,12,8,4,16,2s,256,1,https://paperswithcode.com/dataset/kalunga2016-moabb
4+
MAMEM1,10,256,5,12-15,3s,250,1,https://paperswithcode.com/dataset/mamem1-moabb
5+
MAMEM2,10,256,5,20-30,3s,250,1,https://paperswithcode.com/dataset/mamem2-moabb
6+
MAMEM3,10,14,4,20-30,3s,128,1,https://paperswithcode.com/dataset/mamem3-moabb
7+
Nakanishi2015,9,8,12,15,4.15s,256,1,https://paperswithcode.com/dataset/nakanishi2015-moabb
8+
Wang2016,34,62,40,6,5s,250,1,https://paperswithcode.com/dataset/wang2016-moabb

0 commit comments

Comments
 (0)