cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5882500
title: Motor-Imagery EEG Dataset During Robot-Arm Control

description: <strong>Experiment Description:</strong> This experiment involved <strong>12 healthy subjects</strong> with no prior experience on neurofeedback or BCI, and without any known neurological disorders. All participants are right-handed, except one ambidextrous (participant #5). All participants have provided their signed informed consent for participating in the study in accordance with the 1964 Declaration of Helsinki. The experiment had been conducted in a laboratory environment under controlled conditions. The subjects went through <strong>three sessions</strong> lasting maximum two hours, during three consecutive days and each day at approximately at the same hour. During each session, participants underwent <strong>three different conditions</strong>. The first condition was always the ”<em>resting-state</em>”: the user was asked to keep the eyes open for two minutes staring at a screen with a green cross and a red arrow pointing up, and then closed for the other two minutes. After this, two more conditions followed related to a Motor Imagery (MI) task performed in a randomized order between left|right-hand movement. The two MI conditions consisted of<strong> two phases</strong> each: a training phase and a test phase. The general experimental routine for both of them was the same: each trial lasted 6 seconds (2 seconds baseline and 4 seconds MI), forewarned by the appearance of a green cross on the screen and a concomitant beep-sound a second before the onset of the task. Then, an arrow was appearing pointing left or right, and the subject had to imagine the movement of the corresponding arm reaching an object in front of the Baxter Robot (Rethink Robotics, Bochum, Germany). For both phases, 20 trials from left and 20 trials for right MI were generated in a randomized order, for a total of 40 trials. Finally, there was an inter-trial interval that extended randomly between 1.5 and 3.5 seconds. Overall, this study resulted into <strong>180 EEG </strong>datasets. <strong>Data Description:</strong> <strong>Data Format</strong> General Data Format (GDF) <strong>Sampling Rate</strong> 250 Hz <strong>Channels</strong> 32 EEG + 3 ACC. <strong>EEG system</strong> LiveAmp 32 with active electrodes actiCAP (Brain Products GmbH, Gilching, Germany) <strong>Events:</strong> <strong>Code</strong> <strong>Description</strong> 32775 Baseline Start 32776 Baseline Stop 768 Start of Trial, Trigger at t=0s 786 Cross on screen (BCI experiment) 33282 Beep 769 class1, Left hand - cue onset 770 class2, Right hand - cue onset 781 Feedback (continuous) - onset 800 End Of Trial 1010 End Of Session 33281 Train 32770 Experiment Stop <strong>Directory Tree:</strong> ROOT<br> | chanlocs.locs<br> |<br> |<br> +--- USER #<br> | +---SESSION #<br> | | +---CONDITION #<br> | | | \---RESTING_STATE<br> | | | +---1st_PERSON<br> | | | | TRAINING<br> | | | | ONLINE<br> | | | +---3rd_PERSON<br> | | | | TRAINING<br> | | | | ONLINE
description: Approved by the Ethics Committee of CHULN and CAML (Faculty of Medicine, University of Lisbon) with reference number: 245/19.
DOI: 10.5281/zenodo.5882499
title: Motor-Imagery EEG Dataset During Robot-Arm Control

description: <strong>Experiment Description:</strong> This experiment involved <strong>12 healthy subjects</strong> with no prior experience on neurofeedback or BCI, and without any known neurological disorders. All participants are right-handed, except one ambidextrous (participant #5). All participants have provided their signed informed consent for participating in the study in accordance with the 1964 Declaration of Helsinki. The experiment had been conducted in a laboratory environment under controlled conditions. The subjects went through <strong>three sessions</strong> lasting maximum two hours, during three consecutive days and each day at approximately at the same hour. During each session, participants underwent <strong>three different conditions</strong>. The first condition was always the ”<em>resting-state</em>”: the user was asked to keep the eyes open for two minutes staring at a screen with a green cross and a red arrow pointing up, and then closed for the other two minutes. After this, two more conditions followed related to a Motor Imagery (MI) task performed in a randomized order between left|right-hand movement. The two MI conditions consisted of<strong> two phases</strong> each: a training phase and a test phase. The general experimental routine for both of them was the same: each trial lasted 6 seconds (2 seconds baseline and 4 seconds MI), forewarned by the appearance of a green cross on the screen and a concomitant beep-sound a second before the onset of the task. Then, an arrow was appearing pointing left or right, and the subject had to imagine the movement of the corresponding arm reaching an object in front of the Baxter Robot (Rethink Robotics, Bochum, Germany). For both phases, 20 trials from left and 20 trials for right MI were generated in a randomized order, for a total of 40 trials. Finally, there was an inter-trial interval that extended randomly between 1.5 and 3.5 seconds. Overall, this study resulted into <strong>180 EEG </strong>datasets. <strong>Data Description:</strong> <strong>Data Format</strong> General Data Format (GDF) <strong>Sampling Rate</strong> 250 Hz <strong>Channels</strong> 32 EEG + 3 ACC. <strong>EEG system</strong> LiveAmp 32 with active electrodes actiCAP (Brain Products GmbH, Gilching, Germany) <strong>Events:</strong> <strong>Code</strong> <strong>Description</strong> 32775 Baseline Start 32776 Baseline Stop 768 Start of Trial, Trigger at t=0s 786 Cross on screen (BCI experiment) 33282 Beep 769 class1, Left hand - cue onset 770 class2, Right hand - cue onset 781 Feedback (continuous) - onset 800 End Of Trial 1010 End Of Session 33281 Train 32770 Experiment Stop <strong>Directory Tree:</strong> ROOT<br> | chanlocs.locs<br> |<br> |<br> +--- USER #<br> | +---SESSION #<br> | | +---CONDITION #<br> | | | \---RESTING_STATE<br> | | | +---1st_PERSON<br> | | | | TRAINING<br> | | | | ONLINE<br> | | | +---3rd_PERSON<br> | | | | TRAINING<br> | | | | ONLINE
description: Approved by the Ethics Committee of CHULN and CAML (Faculty of Medicine, University of Lisbon) with reference number: 245/19.
DOI: 10.34740/kaggle/dsv/3156749
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19137599
title: Data File For "Legal Origins and State Economic Freedom"

description: Data File from Article:<br>Matthew Nattinger and Joshua Hall, “Legal Origins and State Economic Freedom," <i>Journal of Economics and Economic Education Research</i> 13(1) 2012: 25-32.<br>
DOI: 10.6084/m9.figshare.19137599.v1
title: Data File For "Legal Origins and State Economic Freedom"

description: Data File from Article:<br>Matthew Nattinger and Joshua Hall, “Legal Origins and State Economic Freedom," <i>Journal of Economics and Economic Education Research</i> 13(1) 2012: 25-32.<br>
DOI: 10.34740/kaggle/dsv/3156774
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6009990
title: Lineage Recording in Human Cerebral Organoids

description: Data underlying the figures in the publication “Lineage recording in human cerebral organoids”, published in <em>Nat Methods</em>, <strong>2022</strong>, 19, 90–99. https://doi.org/10.1038/s41592-021-01344-8 Table of contents: <strong>Supplementary Tables 1-8</strong>: Experimental data supporting the figures of the publication. Data availability Sequence data that support the findings of this study have been deposited in ArrayExpress under the accession codes E-MTAB-10973, E-MTAB-10974 (scRNA-seq data based on 10x Genomics), E-MTAB-10972 (spatial transcriptomic RNA-seq data based on 10x Visium) and E-MTAB-10971 (iTracer-perturb data). Bulk sequencing of barcode and scar library data as well as processed sequencing data have been deposited in Mendeley Data at https://doi.org/10.17632/nj3p3pxv6p. Code availability The computational code used in this study is available at GitHub (https://github.com/quadbiolab/iTracer) or upon request.
DOI: 10.5281/zenodo.6009989
title: Lineage Recording in Human Cerebral Organoids

description: Data underlying the figures in the publication “Lineage recording in human cerebral organoids”, published in <em>Nat Methods</em>, <strong>2022</strong>, 19, 90–99. https://doi.org/10.1038/s41592-021-01344-8 Table of contents: <strong>Supplementary Tables 1-8</strong>: Experimental data supporting the figures of the publication. Data availability Sequence data that support the findings of this study have been deposited in ArrayExpress under the accession codes E-MTAB-10973, E-MTAB-10974 (scRNA-seq data based on 10x Genomics), E-MTAB-10972 (spatial transcriptomic RNA-seq data based on 10x Visium) and E-MTAB-10971 (iTracer-perturb data). Bulk sequencing of barcode and scar library data as well as processed sequencing data have been deposited in Mendeley Data at https://doi.org/10.17632/nj3p3pxv6p. Code availability The computational code used in this study is available at GitHub (https://github.com/quadbiolab/iTracer) or upon request.
DOI: 10.5281/zenodo.6009808
title: Data from: Can attraction to and competition for high-quality habitats shape breeding propensity?

description: This archive contains the data analysed in the paper 'Can attraction to and competition for high-quality habitats shape breeding propensity?' by Acker et al. The dataset is provided as a .Rdata file ('dataset.Rdata'), and full description of the content is provided in the file 'README.txt'. All additional details are available in the main text and appendices of the paper.
DOI: 10.5281/zenodo.6009807
title: Data from: Can attraction to and competition for high-quality habitats shape breeding propensity?

description: This archive contains the data analysed in the paper 'Can attraction to and competition for high-quality habitats shape breeding propensity?' by Acker et al. The dataset is provided as a .Rdata file ('dataset.Rdata'), and full description of the content is provided in the file 'README.txt'. All additional details are available in the main text and appendices of the paper.
DOI: 10.5281/zenodo.6010024
title: Transposable element annotation Rhynchosporium commune isolate UK7

description: To obtain a consensus sequence for each TE family, RepeatModeler v. open-4.0.7 (http://www.repeatmasker.org/RepeatModeler/) was run on the <em>R. commune</em> UK7 reference genome. The classification was based on the GIRI Repbase (v. 2018) using RepeatMasker v. open-4.0.7. (Smit, Hubley, and P. 2015; Bao, Kojima, and Kohany 2015). We used WICKERsoft to finalize the classification of TE consensus sequences (Breen et al. 2010). Specifically, we used WICKERsoft to screen for copies of known consensus sequences from other fungal species with blastn filtering for sequence identity &gt; 80% and sequence length &gt; 80%. (Altschul et al. 1997). Then, using WICKERsoft, flanks of 10000 bp were added and visually inspected for sequence similarity and terminal repeats with dot plots. Subsequent multiple sequence alignments were performed with 10-15 sequences using ClustalW (Thompson, Higgins, and Gibson 1994). Alignment boundaries were visually inspected in WICKERsoft and trimmed if necessary. Using WICKERsoft, consensus sequences were classified according to the presence and type of terminal repeats, as well as homology of the encoded proteins based on blastx against the NCBI protein database. Consensus sequences were named according to the three-letter classification system (Wicker et al. 2007). The reference genome was annotated with the curated consensus sequences using RepeatMasker v. open-4.0.7 with a cut-off value of 250 (Smit, Hubley, and P. 2015). Simple repeats, low complexity regions and annotated elements shorter than 100 bp were filtered out and adjacent identical TEs overlapping by more than 100 bp were merged as belonging to the same TE family. Different TE families overlapping by more than 100 bp were considered as nested insertions and were renamed accordingly. Identical elements separated by less than 200 bp are indicative of interrupted elements and were grouped into a single element. TEs overlapping genes were recovered using the bedtools v. 2.27.1 suite and the “overlap” function (Quinlan and Hall 2010).
DOI: 10.5281/zenodo.6010023
title: Transposable element annotation Rhynchosporium commune isolate UK7

description: To obtain a consensus sequence for each TE family, RepeatModeler v. open-4.0.7 (http://www.repeatmasker.org/RepeatModeler/) was run on the <em>R. commune</em> UK7 reference genome. The classification was based on the GIRI Repbase (v. 2018) using RepeatMasker v. open-4.0.7. (Smit, Hubley, and P. 2015; Bao, Kojima, and Kohany 2015). We used WICKERsoft to finalize the classification of TE consensus sequences (Breen et al. 2010). Specifically, we used WICKERsoft to screen for copies of known consensus sequences from other fungal species with blastn filtering for sequence identity &gt; 80% and sequence length &gt; 80%. (Altschul et al. 1997). Then, using WICKERsoft, flanks of 10000 bp were added and visually inspected for sequence similarity and terminal repeats with dot plots. Subsequent multiple sequence alignments were performed with 10-15 sequences using ClustalW (Thompson, Higgins, and Gibson 1994). Alignment boundaries were visually inspected in WICKERsoft and trimmed if necessary. Using WICKERsoft, consensus sequences were classified according to the presence and type of terminal repeats, as well as homology of the encoded proteins based on blastx against the NCBI protein database. Consensus sequences were named according to the three-letter classification system (Wicker et al. 2007). The reference genome was annotated with the curated consensus sequences using RepeatMasker v. open-4.0.7 with a cut-off value of 250 (Smit, Hubley, and P. 2015). Simple repeats, low complexity regions and annotated elements shorter than 100 bp were filtered out and adjacent identical TEs overlapping by more than 100 bp were merged as belonging to the same TE family. Different TE families overlapping by more than 100 bp were considered as nested insertions and were renamed accordingly. Identical elements separated by less than 200 bp are indicative of interrupted elements and were grouped into a single element. TEs overlapping genes were recovered using the bedtools v. 2.27.1 suite and the “overlap” function (Quinlan and Hall 2010).
DOI: 10.5281/zenodo.6009287
title: Data for "Characteristics of earthquake cycles: a cross-dimensional comparison 0D to 3D"

description: This is the data used in "Characteristics of earthquake cycles: a cross-dimensional comparison 0D to 3D". The paper is currently under review. See README.txt for more information.
DOI: 10.5281/zenodo.4890930
title: Data for "Characteristics of earthquake cycles: a cross-dimensional comparison 0D to 3D"

description: This is the data used in "Characteristics of earthquake cycles: a cross-dimensional comparison 0D to 3D". The paper is currently under review. See README.txt for more information.
DOI: 10.17632/7fc6gtxn88.1
title: Immunogenic cell death and immunogenic surrender- related but distinct mechanisms of immune surveillance

description: 10.1038/s41419-021-04178-6
original data for figures 1 and 2 of the review: Immunogenic cell death and immunogenic surrender- related but distinct mechanisms of immune surveillance.
DOI: 10.17632/kr97nd5j5m.1
title: Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study

description: Dialectical Behavior Therapy Skills Training (DBT-ST) as stand-alone treatment has demonstrated
promising outcomes for the treatment of alcohol use disorder (AUD) and concurrent substance use disorders
(SUDs). However, no studies have so far empirically investigated factors that might predict efficacy of this
therapeutic model.275 treatment-seeking individuals with AUD and other SUDs were consecutively admitted to a 3-month DBT-ST program (in- + outpatient; outpatient settings). The machine learning routine applied (i.e. penalized regression combined with a nested cross-validation procedure) was conducted in order to estimate predictive values of a wide panel of clinical variables in a single statistical framework on drop-out and substance-use behaviors, dealing with related multicollinearity, and eliminating redundant variables.
DOI: 10.1016/j.drugalcdep.2021.108723
DOI: 10.5281/zenodo.6010213
title: Files with RUNE experiment measurements and WRF modelling results

description: This file contains all data used for the figures in the paper, including horizontal transects, vertical profiles and WRF model output for the different locations. Sample namelist for the 1st of January 2016 are supplied for all model runs that are discussed in the paper. For more details, see the corresponding paper "Evaluating mesoscale simulations of the coastal flow using lidar measurements".
description: Funding from the ForskEL program to the project 'RUNE' No. 12263 and The European Commission and the Energiteknologiske Udviklings- og Demonstrationsprogram (EUDP) funded 'New European Wind Atlas' project through FP7 are acknowledged. We would also like to acknowledge 3E for adding the 3E lidar to RUNE's network, Fraunhofer IWES for the measurements from the lidar buoy, and the technicians of DTU Wind Energy, Fraunhofer IWES and the Danish Hydrological Institute for their work and support during the campaign.
DOI: 10.5281/zenodo.834591
title: Files with RUNE experiment measurements and WRF modelling results

description: This file contains all data used for the figures in the paper, including horizontal transects, vertical profiles and WRF model output for the different locations. Sample namelist for the 1st of January 2016 are supplied for all model runs that are discussed in the paper. For more details, see the corresponding paper "Evaluating mesoscale simulations of the coastal flow using lidar measurements".
description: Funding from the ForskEL program to the project 'RUNE' No. 12263 and The European Commission and the Energiteknologiske Udviklings- og Demonstrationsprogram (EUDP) funded 'New European Wind Atlas' project through FP7 are acknowledged. We would also like to acknowledge 3E for adding the 3E lidar to RUNE's network, Fraunhofer IWES for the measurements from the lidar buoy, and the technicians of DTU Wind Energy, Fraunhofer IWES and the Danish Hydrological Institute for their work and support during the campaign.
DOI: 10.6084/m9.figshare.17215958
title: Surface roughness

description: The surface roughness parameter obtained from untreated Ti and AgNO3 treated Ti under hydrothermal
DOI: 10.6084/m9.figshare.17215958.v3
title: Surface roughness

description: The surface roughness parameter obtained from untreated Ti and AgNO3 treated Ti under hydrothermal
DOI: 10.6084/m9.figshare.17215958.v2
title: Surface roughness

description: The surface roughness parameter obtained from untreated Ti and AgNO3 treated Ti under hydrothermal
DOI: 10.6084/m9.figshare.19137662
title: Supplement Table S1-S2 for Serum metabolomics benefits discrimination kidney disease development in type 2 diabetes patients

description: Declustering potential, collision energy, and retention time used to detect a corresponding peptide as listed in Supplement Table S1.The detailed list of differential metabolites within each group including name, fold change, <i>P</i>-value, HMDB number, and KEGG ID were provided in Supplemental Table S2.<br>
DOI: 10.6084/m9.figshare.19137662.v1
title: Supplement Table S1-S2 for Serum metabolomics benefits discrimination kidney disease development in type 2 diabetes patients

description: Declustering potential, collision energy, and retention time used to detect a corresponding peptide as listed in Supplement Table S1.The detailed list of differential metabolites within each group including name, fold change, <i>P</i>-value, HMDB number, and KEGG ID were provided in Supplemental Table S2.<br>
DOI: 10.5281/zenodo.6010176
title: Mycobacterium tuberculosis complex NGS made easy: data analysis step-by-step (datasets)

description: Datasets used in the workshop "<em>Mycobacterium tuberculosis</em> complex NGS made easy: data analysis step-by-step". A capacity development initiative by TB-CAPT, PanACEA and Seq&Treat.
DOI: 10.5281/zenodo.6010175
title: Mycobacterium tuberculosis complex NGS made easy: data analysis step-by-step (datasets)

description: Datasets used in the workshop "<em>Mycobacterium tuberculosis</em> complex NGS made easy: data analysis step-by-step". A capacity development initiative by TB-CAPT, PanACEA and Seq&Treat.
DOI: 10.5517/ccdc.csd.cc1ldsf6
title: CCDC 1472048: Experimental Crystal Structure Determination

description: Related Article: Houssem Boulebd, Ali Belfaitah|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc213zcj
title: CCDC 1880657: Experimental Crystal Structure Determination

description: Related Article: Ramadan M. Ramadan, Samir M. El‐Medani, Abdelmoneim Makhlouf, Hussein Moustafa, Manal A. Afifi, Matti Haukka, Ayman Abdel Aziz|2021|Appl.Organomet.Chem.|35|e6246|doi:10.1002/aoc.6246
DOI: 10.5517/ccdc.csd.cc21q3hd
title: CCDC 1898083: Experimental Crystal Structure Determination

description: Related Article: Jai Singh|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25ksvd
title: CCDC 2013104: Experimental Crystal Structure Determination

description: Related Article: Suguru Murakami, Ryosuke Matsubara, Masahiko Hayashi|2021|J.Organomet.Chem.|933|121653|doi:10.1016/j.jorganchem.2020.121653
DOI: 10.5517/ccdc.csd.cc25ksxg
title: CCDC 2013106: Experimental Crystal Structure Determination

description: Related Article: Suguru Murakami, Ryosuke Matsubara, Masahiko Hayashi|2021|J.Organomet.Chem.|933|121653|doi:10.1016/j.jorganchem.2020.121653
DOI: 10.5517/ccdc.csd.cc25ksyh
title: CCDC 2013107: Experimental Crystal Structure Determination

description: Related Article: Suguru Murakami, Ryosuke Matsubara, Masahiko Hayashi|2021|J.Organomet.Chem.|933|121653|doi:10.1016/j.jorganchem.2020.121653
DOI: 10.5517/ccdc.csd.cc25kszj
title: CCDC 2013108: Experimental Crystal Structure Determination

description: Related Article: Suguru Murakami, Ryosuke Matsubara, Masahiko Hayashi|2021|J.Organomet.Chem.|933|121653|doi:10.1016/j.jorganchem.2020.121653
DOI: 10.5517/ccdc.csd.cc27852s
title: CCDC 2063424: Experimental Crystal Structure Determination

description: Related Article: Dalia I. Saleh, Samy F. Mahmoud, Safaa Eldin H. Etaiw|2021|Appl.Organomet.Chem.|35|e6247|doi:10.1002/aoc.6247
DOI: 10.5519/qd.7l5eetv1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.5996924
title: Isotope-selective pore-opening in a flexible metal-organic framework

description: This dataset contains raw data underlying the results related to the paper "Isotope-selective pore-opening in a flexible metal-organic framework".
DOI: 10.5286/isis.e.rb2210090
title: BiCuxMn7-xO12: Towards the half-metallic limit

description: The BiCuxMn7-xO12 (BCMO) quadruple perovskite solid solutions exhibit an exceptionally rich phase diagram in temperature and Cu2+ concentration as the structure negotiates competing orbital and charge degrees of freedom, on top of a Bi3+ polar instability. For x = 2.5, BCMO is a half-metal ferrimagnet (Tc = 350 K), where double exchange produces spin-polarized itinerancy. We will study how the system evolves towards this limit from an insulating state distinguished by short range magnetic interactions and a novel re-entrant structural transition (x = 1). We propose a NPD experiment on samples x = 1.5, 2 & 2.5 in which we aim to better understand a) the re-entrant transition, b) observed low temperature magnetic phase transitions and non-monotonic evolution of the magnetic order, and c) the role of orbital, charge and lone pair degrees of freedom in stabilizing the observed states.