cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/rbn3xg/j1rdsi
title: sub-010_ses-03_task-motorimagery_eeg.set

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

description: :unav
DOI: 10.7910/dvn/rbn3xg/jykppf
title: sub-008_ses-05_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/kqqhdl
title: sub-010_ses-08_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/mahs9r
title: sub-006_ses-03_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/t65rlg
title: sub-008_ses-04_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/up5wtr
title: sub-008_ses-03_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/v4tepy
title: sub-007_ses-04_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/ct0vvo
title: sub-010_ses-05_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/dz1b7h
title: sub-009_ses-01_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/fqdggi
title: sub-008_ses-09_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/jclwjn
title: sub-007_ses-10_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/jnyben
title: sub-007_ses-08_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/jsgerf
title: sub-008_ses-06_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/mfg9wm
title: sub-008_ses-05_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/nbsxmk
title: sub-008_ses-02_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/qj0vr1
title: sub-010_ses-01_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wq3m9y
title: sub-007_ses-02_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/2ikisc
title: sub-007_ses-09_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/2vzouz
title: sub-008_ses-10_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/8zwm9l
title: sub-009_ses-04_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/9umhjx
title: sub-008_ses-01_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cbi44r
title: sub-009_ses-08_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/gkpg5t
title: sub-006_ses-08_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/yj1byz
title: sub-006_ses-05_task-motorimagery_eeg.set

description: :unav
DOI: 10.3886/e109703v1-22867
title: Replication data and code for: Rural Roads and Local Economic Development

description: These files contain the data and code for the journal article "Rural Roads and Local Economic Development," American Economic Review. Please start with the readme, which contains a detailed description of all files in this repository and instructions for the replication of results in the article. <br><br>Abstract<br>Nearly one billion people worldwide live in rural areas without access to national paved road networks. We estimate the impacts of India’s $40 billion national rural road construction program using a fuzzy regression discontinuity design and comprehensive household and firm census microdata. Four years after road construction, the main effect of new feeder roads is to facilitate the movement of workers out of agriculture. However, there are no major changes in agricultural outcomes, income or assets. Employment in village firms expands only slightly. Even with better market connections, remote areas may continue to lack economic opportunities.<br><br>
description: Presence of Common Scales: Indian National Classification of Occupations (2004)
description: Villages in India without paved roads in 2000. Smallest Geographic Unit: Village
description: The main analysis sample is comprised of villages that did not have a paved approach road at the start of the road construction program and whose baseline populations were close to the cutoffs used for prioritization.
DOI: 10.7910/dvn/rbn3xg/1owr8v
title: sub-006_ses-10_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/bbhx8o
title: sub-008_ses-07_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/jbqrro
title: sub-007_ses-09_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/kubzgn
title: sub-010_ses-08_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/llvdg2
title: sub-009_ses-07_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/njp8ky
title: sub-010_ses-02_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/pab8nn
title: sub-007_ses-01_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/qbqqxk
title: sub-009_ses-10_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/s1qzzz
title: sub-009_ses-02_task-motorimagery_eeg.set

description: :unav
DOI: 10.25345/c56d8j
title: MassIVE MSV000085072 - GNPS-triatomine saliva (negative mode)
title: Metabolites extracted from triatomine saliva and analyzed by LC-MS/MS.
DOI: 10.5281/zenodo.3700658
title: Carbon emissions and economic assessment of farm operations under different tillage practices in organic rainfed almond orchards under semiarid Mediterranean conditions

description: This dataset corresponds to yield, price and fuel consumption from organic rainfed almond orchards in SE Spain under different diversification and tillage practices. The objective is to carry out an integrated environmental (focused on the CO<sub>2</sub> emissions) and economic assessment of farm operations under different diversification and tillage practices through a cradle-to-farm gate life cycle assessment (LCA) based on these data. These data correspond to the open-access article " Carbon emissions and economic assessment of farm operations under different tillage practices in organic rainfed almond orchards under semiarid Mediterranean conditions" published in Scientia Horticulturae. (https://doi.org/10.1016/j.scienta.2019.108978), funded by the European Commission Horizon 2020 project Diverfarming [grant agreement 728003].
DOI: 10.5281/zenodo.3700659
title: Carbon emissions and economic assessment of farm operations under different tillage practices in organic rainfed almond orchards under semiarid Mediterranean conditions

description: This dataset corresponds to yield, price and fuel consumption from organic rainfed almond orchards in SE Spain under different diversification and tillage practices. The objective is to carry out an integrated environmental (focused on the CO<sub>2</sub> emissions) and economic assessment of farm operations under different diversification and tillage practices through a cradle-to-farm gate life cycle assessment (LCA) based on these data. These data correspond to the open-access article " Carbon emissions and economic assessment of farm operations under different tillage practices in organic rainfed almond orchards under semiarid Mediterranean conditions" published in Scientia Horticulturae. (https://doi.org/10.1016/j.scienta.2019.108978), funded by the European Commission Horizon 2020 project Diverfarming [grant agreement 728003].
DOI: 10.7910/dvn/rbn3xg/03qhtj
title: sub-009_ses-09_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/4a4h6n
title: sub-006_ses-06_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/4mvnmw
title: sub-009_ses-06_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/fgmuci
title: sub-008_ses-10_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/j5gu7r
title: sub-007_ses-01_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/kn4fhy
title: sub-007_ses-06_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/rs3z3u
title: sub-008_ses-07_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/uqttyn
title: sub-010_ses-09_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/1hf1im
title: sub-010_ses-01_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/1pko8w
title: sub-007_ses-07_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/9xwasn
title: sub-008_ses-01_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/eqnqq5
title: sub-007_ses-03_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/h9iddy
title: sub-010_ses-10_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/kbpfmf
title: sub-008_ses-02_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/kinf7b
title: sub-006_ses-09_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/bwa7wx
title: sub-009_ses-02_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/dpj8so
title: sub-008_ses-06_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/gh1ajw
title: sub-007_ses-08_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/n0qay7
title: sub-010_ses-06_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/pjkcgd
title: sub-010_ses-02_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/uj4kxk
title: sub-010_ses-09_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/w5aazx
title: sub-010_ses-07_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.5281/zenodo.3700653
title: K-Means Clustering Peraturan Kementerian

description: Analisis Peraturan Kementerian menggunakan metode K-Means Clustering
DOI: 10.5281/zenodo.3700654
title: K-Means Clustering Peraturan Kementerian

description: Analisis Peraturan Kementerian menggunakan metode K-Means Clustering
DOI: 10.7910/dvn/rbn3xg/bt5uxu
title: sub-006_ses-02_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/e3jlib
title: sub-010_ses-05_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ktu8so
title: sub-009_ses-09_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ntechd
title: sub-009_ses-04_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/rwjvt8
title: sub-010_ses-06_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ty7vcn
title: sub-009_ses-03_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ngw3kb
title: sub-009_ses-01_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/ou8e0g
title: sub-007_ses-10_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/qil6zi
title: sub-009_ses-06_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/tagper
title: sub-009_ses-03_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/wxbl76
title: sub-006_ses-08_task-motorimagery_eeg.set

description: :unav
DOI: 10.5281/zenodo.3700663
title: K-Means Clustering Peraturan Kementerian

description: Analisis Peraturan Kementerian menggunakan metode K-Means Clustering
DOI: 10.7910/dvn/rbn3xg/d3tsyv
title: sub-010_ses-04_task-motorimagery_eeg.fdt

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

description: :unav
DOI: 10.7910/dvn/rbn3xg/fevukh
title: sub-009_ses-10_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/noi18h
title: sub-010_ses-04_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/stxmtx
title: sub-006_ses-05_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/vk7pzu
title: sub-010_ses-03_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/fls3xo
title: sub-010_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ksk5sl
title: sub-008_ses-08_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/q1arsw
title: sub-008_ses-03_task-motorimagery_eeg.set

description: :unav
DOI: 10.17632/k47fmk4bgg.1
title: Data for: Connectionist and Mutual Information Tools to Determine Water Saturation and Rank Input Log Variables
DOI: 10.7910/dvn/rbn3xg/evlxjr
title: sub-009_ses-18_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/pocw37
title: sub-007_ses-16_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/rnej7j
title: sub-009_ses-13_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/waozqx
title: sub-010_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/xgj4mh
title: sub-009_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.5519/qd.fbkl5g06
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1344434 records)
DOI: 10.7910/dvn/rbn3xg/hpq2a6
title: sub-010_ses-13_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/navzrz
title: sub-007_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/u34bfb
title: sub-009_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/ueerzt
title: sub-007_ses-12_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/vgx7np
title: sub-008_ses-16_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/0aqsev
title: sub-009_ses-16_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/gkjjl0
title: sub-009_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/k3xzm9
title: sub-010_ses-18_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/sdmwqu
title: sub-008_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/vjuh09
title: sub-008_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/brxufd
title: sub-006_ses-17_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/engbpu
title: sub-007_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/gpaxff
title: sub-008_ses-13_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/juzdml
title: sub-007_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/yci9tc
title: sub-008_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/ykyxhl
title: sub-006_ses-16_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/yvhg8b
title: sub-010_ses-17_task-rest_eeg.fdt

description: :unav
DOI: 10.3886/e118141v1
title: Visuomotor predictors of batting performance in baseball players

description: We examined baseball players’ basic visuomotor skills by measuring their eye tracking and manual control performance, and then how these two capabilities relate to batting performance. We tested baseball players and demographically matched non-athletes with an eye tracking task in which they followed an unpredictably moving target with their eyes and with a manual control task in which they used a joystick to control a randomly moving target. Baseball players showed superior eye tracking and manual control capabilities over non-athletes. Furthermore, both eye-tracking and manual control performance become more correlated with batting accuracy with increasing player experience. Eye tracking performance in particular is predictive of batting skill, accounting for more than 70% of the variance in batting performance across players with 10 years of experience. Our findings suggest that the complex, learned skill of batting is limited by fundamental visuomotor capabilities, and that this limitation becomes more apparent with experience.
DOI: 10.7910/dvn/rbn3xg/am5qj6
title: sub-008_ses-16_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/dz3zcl
title: sub-010_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/x9fihq
title: sub-008_ses-18_task-rest_eeg.fdt

description: :unav
DOI: 10.3886/e118141
title: Visuomotor predictors of batting performance in baseball players

description: We examined baseball players’ basic visuomotor skills by measuring their eye tracking and manual control performance, and then how these two capabilities relate to batting performance. We tested baseball players and demographically matched non-athletes with an eye tracking task in which they followed an unpredictably moving target with their eyes and with a manual control task in which they used a joystick to control a randomly moving target. Baseball players showed superior eye tracking and manual control capabilities over non-athletes. Furthermore, both eye-tracking and manual control performance become more correlated with batting accuracy with increasing player experience. Eye tracking performance in particular is predictive of batting skill, accounting for more than 70% of the variance in batting performance across players with 10 years of experience. Our findings suggest that the complex, learned skill of batting is limited by fundamental visuomotor capabilities, and that this limitation becomes more apparent with experience.
DOI: 10.7910/dvn/rbn3xg/hmksge
title: sub-006_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/jjngot
title: sub-006_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/mjf88x
title: sub-006_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/rlobnq
title: sub-009_ses-11_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/65gi3d
title: sub-007_ses-14_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/gdaumf
title: sub-009_ses-17_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/gqa5pf
title: sub-008_ses-18_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/svrn5y
title: sub-008_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cxqlps
title: sub-007_ses-17_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ilv7ir
title: sub-009_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/vpbk4p
title: sub-006_ses-12_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/x6tsp7
title: sub-007_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.5281/zenodo.3700823
title: Data Set from the Systematization of Vulnerability Discovery Metrics

description: The data set contains vulnerability discovery metric data extracted from 26 primary studies identified as part of the systematic literature review conducted. The review was conducted as part achieving our overall research vision to <em>assist software engineers in building secure software by providing a technique that generates scientific, interpretable, and actionable feedback on security as the software evolves</em>.
DOI: 10.5281/zenodo.3700824
title: Data Set from the Systematization of Vulnerability Discovery Metrics

description: The data set contains vulnerability discovery metric data extracted from 26 primary studies identified as part of the systematic literature review conducted. The review was conducted as part achieving our overall research vision to <em>assist software engineers in building secure software by providing a technique that generates scientific, interpretable, and actionable feedback on security as the software evolves</em>.
DOI: 10.7910/dvn/rbn3xg/5lu90n
title: sub-006_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cdwqza
title: sub-006_ses-13_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/d1f1hu
title: sub-006_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wbisgq
title: sub-008_ses-17_task-rest_eeg.set

description: :unav
DOI: 10.25345/c52q4w
title: MassIVE MSV000085073 - GNPS-triatomine saliva (positive mode)
title: Metabolites extracted from triatomine saliva and analyzed by LC-MS/MS.
DOI: 10.7910/dvn/rbn3xg/1upjej
title: sub-006_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/6abgwe
title: sub-007_ses-13_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/ohh9fn
title: sub-007_ses-11_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/yfdgf8
title: sub-009_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/0n0fvl
title: sub-009_ses-17_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/2mukh5
title: sub-008_ses-12_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/6sgqoe
title: sub-010_ses-11_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/by8gd7
title: sub-010_ses-15_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/gvsqvn
title: sub-006_ses-18_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/pma5tl
title: sub-010_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/uf2oax
title: sub-006_ses-18_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/yj0xbd
title: sub-010_ses-13_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/7xjx5j
title: sub-008_ses-19_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/8z9tqj
title: sub-010_ses-12_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/bppo1g
title: sub-010_ses-19_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/dbp8pp
title: sub-009_ses-19_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/gj5rii
title: sub-008_ses-13_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/hgyaou
title: sub-010_ses-11_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/kxzwxc
title: sub-006_ses-13_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/m9eftl
title: sub-007_ses-16_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/yr3rxt
title: sub-008_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.3886/e116349v1-22869
title: Replication data for: Minimum Wages and the Distribution of Family Incomes

description: There is robust evidence that higher minimum wages increase family incomes at the bottom of the distribution. The long-run (3 or more years) minimum wage elasticity of the non-elderly poverty rate with respect to the minimum wage ranges between −0.220 and −0.459 across alternative specifications. The long-run minimum wage elasticities for the tenth and fifteenth unconditional quantiles of family income range between 0.152 and 0.430 depending on specification. A reduction in public assistance partly offsets these income gains, which are on average 66 percent as large when using an expanded income definition including tax credits and noncash transfers.
DOI: 10.7910/dvn/rbn3xg/5jjpi6
title: sub-006_ses-17_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/7ox5y7
title: sub-006_ses-12_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/j3colg
title: sub-010_ses-17_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/jf0yqz
title: sub-009_ses-12_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/jrlsnr
title: sub-010_ses-18_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/sjaj53
title: sub-006_ses-16_task-rest_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/uqzm2d
title: sub-010_ses-16_task-rest_eeg.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/zsu7kw
title: sub-007_ses-15_task-motorimagery_eeg.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/zx0zgk
title: sub-009_ses-14_task-motorimagery_eeg.fdt

description: :unav
DOI: 10.5281/zenodo.3700769
title: Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study

description: This dataset contains the necessary details to reproduce the experiments of the paper : Vujovic M., Hernández-Leo, D., Tassani S., Spikol D. (2020). Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study, (in the process of revision) <em>British Journal of Education Technology</em> This data represents measurements collected from two experiments explained in the article: Qualitative data - observations Experiment_university students - measurements (distance between students, range of movement, level of participation) Experiment_elementary school students - measurements (distance between students, range of movement, level of participation) We would appreciate it if you cite the paper after using the dataset.