cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3700529
title: IO Islamic 1387. Dastûr-al'mal, The Revenue System Under the Emperor Akbar

description: IO Islamic 1387. Dastûr-al’mal, The Revenue System Under the Emperor Akbar
DOI: 10.5281/zenodo.3700530
title: IO Islamic 1387. Dastûr-al'mal, The Revenue System Under the Emperor Akbar

description: IO Islamic 1387. Dastûr-al’mal, The Revenue System Under the Emperor Akbar
DOI: 10.5281/zenodo.3700567
title: IO Islamic 222. Mirât-i- Aḥmadî, A Very Extensive and Rare History of Gujarât

description: IO Islamic 222. Mirât-i- Aḥmadî, A Very Extensive and Rare History of Gujarât
DOI: 10.5281/zenodo.3700566
title: IO Islamic 222. Mirât-i- Aḥmadî, A Very Extensive and Rare History of Gujarât

description: IO Islamic 222. Mirât-i- Aḥmadî, A Very Extensive and Rare History of Gujarât
DOI: 10.25584/1644210
title: Dataset for "FLEXPART-WRF simulations to assess dust transport in the convective boundary layer at the Southern Great Plains site"
DOI: 10.5281/zenodo.3700527
title: IO Islamic 3403. Żafarnâma-i-waḳâ'i'-i- ghadr, A Succinct History of the Indian Mutiny

description: IO Islamic 3403. Żafarnâma-i-waḳâ’i’-i- ghadr, A Succinct History of the Indian Mutiny
DOI: 10.5281/zenodo.3700528
title: IO Islamic 3403. Żafarnâma-i-waḳâ'i'-i- ghadr, A Succinct History of the Indian Mutiny

description: IO Islamic 3403. Żafarnâma-i-waḳâ’i’-i- ghadr, A Succinct History of the Indian Mutiny
DOI: 10.5281/zenodo.3700549
title: IO Islamic 970. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 970. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700548
title: IO Islamic 970. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 970. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700535
title: IO Islamic 1131. Fihrist-i-Ṣûbajât-i-Hindûstân, Statistical Tables and Revenue Accounts

description: IO Islamic 1131. Fihrist-i-Ṣûbajât-i-Hindûstân, Statistical Tables and Revenue Accounts
DOI: 10.5281/zenodo.3700536
title: IO Islamic 1131. Fihrist-i-Ṣûbajât-i-Hindûstân, Statistical Tables and Revenue Accounts

description: IO Islamic 1131. Fihrist-i-Ṣûbajât-i-Hindûstân, Statistical Tables and Revenue Accounts
DOI: 10.5281/zenodo.3700571
title: IO Islamic 094. Ta'rîkh-i-Dilkushâ, Part of the Annals of Military Transactions in the Dakhan Under the Emperor 'Âlamîr

description: IO Islamic 094. Ta’rîkh-i-Dilkushâ, Part of the Annals of Military Transactions in the Dakhan Under the Emperor ‘Âlamîr
DOI: 10.5281/zenodo.3700570
title: IO Islamic 094. Ta'rîkh-i-Dilkushâ, Part of the Annals of Military Transactions in the Dakhan Under the Emperor 'Âlamîr

description: IO Islamic 094. Ta’rîkh-i-Dilkushâ, Part of the Annals of Military Transactions in the Dakhan Under the Emperor ‘Âlamîr
DOI: 10.5281/zenodo.3700543
title: IO Islamic 043. Ta'rîkh-i-Sind, History of Sind

description: IO Islamic 043. Ta’rîkh-i-Sind, History of Sind
DOI: 10.5281/zenodo.3700542
title: IO Islamic 043. Ta'rîkh-i-Sind, History of Sind

description: IO Islamic 043. Ta’rîkh-i-Sind, History of Sind
DOI: 10.5281/zenodo.3700557
title: IO Islamic 3378. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 3378. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700556
title: IO Islamic 3378. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 3378. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700550
title: IO Islamic 3002. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 3002. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700551
title: IO Islamic 3002. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 3002. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700561
title: IO Islamic 1821. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 1821. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.5281/zenodo.3700560
title: IO Islamic 1821. Mirât-i-Sikandarî, History of Gujarât

description: IO Islamic 1821. Mirât-i-Sikandarî, History of Gujarât
DOI: 10.25345/c5b701
title: MassIVE MSV000085071 - GNPS - Mount Pisgah Mushrooms 2019 Samples
title: Mushrooms samples collected during The Mount Pisgah Mushroom Festival, september 2019. Sample collections, generously contributed by the community and Cascade Mycological Society (CMS) members. Methanolic extract were freeze-dried and resuspended for LC-MS/MS performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 mm C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source. Data was acquired in positive and negative ion modes.
DOI: 10.25919/5e6417f2a8878
title: Parkes observations for project P595 semester 2019OCTS_09

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.3886/e116438v1-22865
title: Replication data for: Newspapers in Times of Low Advertising Revenues

description: We model the consequences on newspapers' content and prices of a reduction in advertising revenues. Newspapers choose the size of their newsroom, and readers are heterogeneous in their ideal amount of journalistic-intensive content. We show that a reduction in advertising revenues lowers newspapers' incentives to produce journalistic-intensive content. We also build a unique dataset on French newspapers between 1960 and 1974 and perform a difference-in-differences analysis exploiting the introduction of advertising on television, which affected national newspapers more severely than local ones. We find robust evidence of a decrease in the amount of journalistic-intensive content produced and the subscription price.
DOI: 10.3886/e111709v1-22863
title: Project ROOTS

description: This study used a randomized controlled trial design to investigate the ROOTS curriculum, a 50-lesson kindergarten mathematics<br>intervention. Ten ROOTS-eligible students per classroom (n = 60) were randomly assigned to one of three conditions:<br>a ROOTS five-student group, a ROOTS two-student group, and a no-treatment control group. Two primary research questions<br>were investigated as part of this study: What was the overall impact of the treatment (the ROOTS intervention) as compared<br>with the control (business as usual)? Was there a differential impact on student outcomes between the two treatment conditions<br>(two- vs. five-student group)? Initial analyses for the first research question indicated a significant impact on three<br>outcomes and positive but nonsignificant impacts on three additional measures. Results for the second research question,<br>comparing the two- and five-student groups, indicated negligible and nonsignificant differences. Implications for practice are<br>discussed.<br><br>
DOI: 10.6084/m9.figshare.3761562.v1413
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.21227/15qx-7251
title: NPE Data for IEEE access 0307

description: Analysis data
DOI: 10.21227/7vbx-ye97
title: NPE Data for IEEE access 0307

description: Analysis data
DOI: 10.21227/cr3w-t240
title: NPE Data for IEEE access 0307

description: Analysis data
DOI: 10.7910/dvn/a74fux/fsiap4
title: petitions.tab
DOI: 10.7910/dvn/a74fux/mwsnws
title: petitions.tab
DOI: 10.21227/p3mw-q429
title: A human video database for facial feature detection under spectacles with varying alertness levels

description: Pressing demand of workload along with social media interaction leads to diminished alertness during work hours.Researchers attempted to measure alertness level from various cues like EEG, EOG, Video-based eye movement analysis,etc. Among these, video-based eyelid and iris motion tracking gained much attention in recent years. However, most of theseimplementations are tested on video data of subjects without spectacles. These videos do not pose a challenge for eye detectionand tracking. In this work, we have designed an experiment to yield a video database of 58 human subjects wearing spectaclesand are at different levels of alertness. Along with spectacles, we introduced variation in session, recording frame rate (fps),illumination, and time of the experiment. We carried out analysis to detect the reliableness of facial and ocular features likeyawning and eyeblinks in the context of alertness level detection capability. Also, we observe the influence of spectacles on ocularfeature detection performance under spectacles and propose a simple preprocessing step to alleviate the specular reflectionproblem. Extensive experiments on real-world images demonstrate that our approach achieves desirable reflection suppressionresults within minimum execution time compared to the state of the art.
DOI: 10.21227/3wb9-da89
title: A human video database for facial feature detection under spectacles with varying alertness levels

description: Pressing demand of workload along with social media interaction leads to diminished alertness during work hours.Researchers attempted to measure alertness level from various cues like EEG, EOG, Video-based eye movement analysis,etc. Among these, video-based eyelid and iris motion tracking gained much attention in recent years. However, most of theseimplementations are tested on video data of subjects without spectacles. These videos do not pose a challenge for eye detectionand tracking. In this work, we have designed an experiment to yield a video database of 58 human subjects wearing spectaclesand are at different levels of alertness. Along with spectacles, we introduced variation in session, recording frame rate (fps),illumination, and time of the experiment. We carried out analysis to detect the reliableness of facial and ocular features likeyawning and eyeblinks in the context of alertness level detection capability. Also, we observe the influence of spectacles on ocularfeature detection performance under spectacles and propose a simple preprocessing step to alleviate the specular reflectionproblem. Extensive experiments on real-world images demonstrate that our approach achieves desirable reflection suppressionresults within minimum execution time compared to the state of the art.
DOI: 10.25919/5e648ade58df1
title: Parkes observations for project P958 semester 2019OCTS_67

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last two year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 31 bursts, five of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.21227/02kx-8957
title: A human video database for facial feature detection under spectacles with varying alertness levels

description: Pressing demand of workload along with social media interaction leads to diminished alertness during work hours.Researchers attempted to measure alertness level from various cues like EEG, EOG, Video-based eye movement analysis,etc. Among these, video-based eyelid and iris motion tracking gained much attention in recent years. However, most of theseimplementations are tested on video data of subjects without spectacles. These videos do not pose a challenge for eye detectionand tracking. In this work, we have designed an experiment to yield a video database of 58 human subjects wearing spectaclesand are at different levels of alertness. Along with spectacles, we introduced variation in session, recording frame rate (fps),illumination, and time of the experiment. We carried out analysis to detect the reliableness of facial and ocular features likeyawning and eyeblinks in the context of alertness level detection capability. Also, we observe the influence of spectacles on ocularfeature detection performance under spectacles and propose a simple preprocessing step to alleviate the specular reflectionproblem. Extensive experiments on real-world images demonstrate that our approach achieves desirable reflection suppressionresults within minimum execution time compared to the state of the art.
DOI: 10.5519/qd.osiekma2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/6j15-4g77
title: An Indian facial database highlighting the Spectacle Problems

description: Occlusion, glare and secondary reflections formed due to and on the spectacles - results in poor detection, localization, and recognition of eye/face features. We term all the problems related to the usage of spectacles as The spectacle problem. Though several studies on the spectacle detection and removal have been reported in the literature, the study focusing on spectacle problem removal is very limited. One of the main reasons being, the nonavailability of a facial image database highlighting the spectacle problems. Therefore, we created an Indian facial image database consisting of corresponding facial images with and without spectacle problems. The release of database Version 1 contains a total of 1,23,213 images from 58subjects.
DOI: 10.14469/hpc/6924
title: CBD Di-cation Singlet 1A1g CCSD/Def2-SVP Kekule 1445 cm-1

description: Gaussian Calculation
DOI: 10.21227/em3e-xt92
title: Toy demo for the OMP and DOMP

description: This dataset aims at providing a toy demo for the comparison between the doubly orthogonal matching pursuit (DOMP) and its predecessor, the OMP.
DOI: 10.21227/xfct-fe97
title: Toy demo for the OMP and DOMP

description: This dataset aims at providing a toy demo for the comparison between the doubly orthogonal matching pursuit (DOMP) and its predecessor, the OMP.
DOI: 10.3886/e104781v1-22871
title: May Your Drug Price Be Ever Green (Orange Book Project Dataset & Methodology)

description: Patents and exclusivities have become an increasingly important component in the “life cycle management” strategies that are employed by pharmaceutical companies to prolong the period of market monopoly for their drugs.<br><br>Presenting the first comprehensive study of evergreening, this study examines all pharmaceuticals in the U.S. the market between 2005 and 2015, collecting 160,000 data points to note every instance in which a company added a new patent or exclusivity. This study gathers patent and exclusivity information published in the “Orange Book,” which is a regular FDA publication containing information on approved drugs, their therapeutically equivalent generics, and the patents and exclusivities attached to approved drugs, among other drug-related data.<br>
DOI: 10.14469/hpc/6927
title: CBD Di-cation Triplet 3A1g CCSD/Def2-SVP Kekule -2267 cm-1

description: Gaussian Calculation
DOI: 10.14469/hpc/6925
title: CBD Di-cation Triplet 3B1g CCSD/Def2-SVP Kekule mode B2g -2280 cm-1

description: Gaussian Calculation
DOI: 10.5281/zenodo.3700687
title: Twitter Crawling for "Viral or Heboh" News

description: The data we take is about tweet form 10 official account of news portal on twitter that mentioned word "Viral" or "Heboh". The dataset contain 5 columns and more than 500 tweet sorted by time.
description: {"references": ["Nur Aini Rakhmawati. (2019). The Biodata of Legislative Candidates for Indonesian General Election 2019 (Version tanpapemenang) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3474543"]}
DOI: 10.5281/zenodo.3700652
title: JDIH Kementerian Terkait IT

description: Berikut ini adalah Dataset kumpulan peraturan berdasarkan kementerian yang mengatur tentang Teknologi Informasi, Sistem Informasi, Transaksi Elektronik dan Teknologi Informasi
DOI: 10.5281/zenodo.3700651
title: JDIH Kementerian Terkait IT

description: Berikut ini adalah Dataset kumpulan peraturan berdasarkan kementerian yang mengatur tentang Teknologi Informasi, Sistem Informasi, Transaksi Elektronik dan Teknologi Informasi
DOI: 10.17632/65pgmb3zvw.1
title: Data for: Surface deformation and strike-slip faulting controlled by dyking and host rock lithology: a compendium from the Krafla Rift, Iceland

description: Three files containing data on width of the studied graben structures respect to altitude, fracture strike and component of transcurrent motions, topographic profiles across the dyke-induced surface deformation zone.
DOI: 10.5281/zenodo.3700696
title: Data Penggunaan Framework Pada Website JDIH Kementerian Indonesia

description: Data identifikasi penggunaan framework yang digunakan pada website JDIH Kementerian Indonesia
DOI: 10.5281/zenodo.3700697
title: Data Penggunaan Framework Pada Website JDIH Kementerian Indonesia

description: Data identifikasi penggunaan framework yang digunakan pada website JDIH Kementerian Indonesia
DOI: 10.17632/c99sx8k262.1
title: Data for: Hepatitis E infection is an infrequent cause of acute hepatitis in the metropolitan area of Buenos Aires
DOI: 10.5281/zenodo.3700713
title: Data Penggunaan Framework Pada Website JDIH Kementerian Indonesia

description: Data identifikasi penggunaan framework yang digunakan pada website JDIH Kementerian Indonesia
DOI: 10.7910/dvn/rbn3xg/bztghb
title: sub-005_ses-18_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cgb0lg
title: sub-004_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/haq1zx
title: sub-004_ses-16_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/vpngbk
title: sub-004_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/zedmrg
title: sub-005_ses-16_task-rest_eeg.fdt

description: :unav
DOI: 10.17632/65pgmb3zvw.2
title: Data for: Surface deformation and strike-slip faulting controlled by dyking and host rock lithology: a compendium from the Krafla Rift, Iceland

description: Three files containing data on width of the studied graben structures respect to altitude, fracture strike and component of transcurrent motions, topographic profiles across the dyke-induced surface deformation zone.
DOI: 10.7910/dvn/rbn3xg/8fkzf0
title: sub-004_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/bhbcr6
title: sub-005_ses-13_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/e05eo3
title: sub-005_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/frrcaa
title: sub-005_ses-13_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/hvwfzh
title: sub-005_ses-17_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/paewqa
title: sub-004_ses-19_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/t6cgyu
title: sub-004_ses-11_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wdpuj2
title: sub-004_ses-16_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/x3x0v7
title: sub-005_ses-12_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/8hzjzn
title: sub-004_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/bwzdrm
title: sub-005_ses-19_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/krq99a
title: sub-004_ses-12_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/lfwqbb
title: sub-005_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/m4o3vs
title: sub-005_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/qj3ky0
title: sub-005_ses-12_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/uotcic
title: sub-005_ses-17_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/vozyje
title: sub-004_ses-12_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/y4hbix
title: sub-004_ses-13_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/23rfen
title: sub-005_ses-16_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/c5yred
title: sub-004_ses-18_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/d7mlqu
title: sub-004_ses-13_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/fdp3rj
title: sub-004_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/mjqlej
title: sub-005_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/n4ebsi
title: sub-004_ses-17_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/nagwrq
title: sub-005_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/yh7grk
title: sub-005_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/yhxqio
title: sub-004_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/8klvka
title: sub-007_ses-02_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/8kuza3
title: sub-008_ses-09_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/efbmev
title: sub-006_ses-07_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ffzpvh
title: sub-009_ses-05_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/sbh2ja
title: sub-008_ses-08_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/sr49uy
title: sub-006_ses-02_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wezrpt
title: sub-009_ses-05_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/zolhfa
title: sub-006_ses-04_task-motorimagery_eeg.set

description: :unav
DOI: 10.17632/8jmkwc45tt.1
title: Data for: Locate vaccination stations with travel distance, operational costs and work schedule considered

description: The data file includes full data used in the case study of the paper.
DOI: 10.7910/dvn/rbn3xg/31kbyi
title: sub-006_ses-09_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/5mdfay
title: sub-007_ses-05_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/b9mnqw
title: sub-006_ses-06_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/cy8fkm
title: sub-007_ses-06_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/dybbuz
title: sub-009_ses-07_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/insfcg
title: sub-006_ses-03_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/m9lrq0
title: sub-006_ses-10_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/pmvhyd
title: sub-006_ses-01_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/0l0ko2
title: sub-008_ses-04_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/gikuu4
title: sub-007_ses-03_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/htyfig
title: sub-009_ses-08_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/mwpx0g
title: sub-007_ses-05_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/n5abwa
title: sub-010_ses-10_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/vyzig3
title: sub-010_ses-07_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wnxawi
title: sub-006_ses-04_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/5wfa0t
title: sub-007_ses-04_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/97o3dc
title: sub-007_ses-07_task-motorimagery_eeg.set

description: :unav