cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3947991
title: EGSCyP_REMD_20_cyclic_pentapeptides

description: IMPMC, Sorbonne University, Paris, France<br> LAAS-CNRS, University of Toulouse, France 16 july 2020 This zenodo-repository contains the data presented in the article: Maud Jusot, Jaysen Sawmynaden, Juan Cortes, Jacques Chomilier, Dirk Stratmann<br> "How chemical modifications affect the conformation landscape of small cyclic peptides"<br> July 2020, bioRxiv.org There are two tar archives in the repository:<br> EGSCyP.tar<br> REMD.tar EGSCyP.tar contains the data generated with the EGSCyP method that has been published previously:<br> https://doi.org/10.1021/acs.jcim.8b00375 REMD.tar contains the data generated with replica-exchange molecular dynamics simulations (REMD)<br> in implicit solvent using 8 replicas from 300K to 450K generated with GROMACS 5.1.4 Both archives contain the data of 20 cyclic penta-peptides, as presented in the article cited above.<br> One sub-directory per peptide. For the EGSCyP data:<br> Generated 3D structures where assembled in a single xtc file, which is not a standard trajectory here,<br> just one frame per generated structure.<br> To be able to read the xtc file, an arbitrary structure is given in a PDB file. For the REMD data:<br> Each number correspond to a replica: 0 for 300K to 7 for 450K.<br> Trajectories are either available as trr or xtc files. Coordinates are available in a gro file. <br> Contact: dirk.stratmann@upmc.fr<br> jacques.chomilier@upmc.fr<br> juan.cortes@laas.fr
DOI: 10.5281/zenodo.3947990
title: EGSCyP_REMD_20_cyclic_pentapeptides

description: IMPMC, Sorbonne University, Paris, France<br> LAAS-CNRS, University of Toulouse, France 16 july 2020 This zenodo-repository contains the data presented in the article: Maud Jusot, Jaysen Sawmynaden, Juan Cortes, Jacques Chomilier, Dirk Stratmann<br> "How chemical modifications affect the conformation landscape of small cyclic peptides"<br> July 2020, bioRxiv.org There are two tar archives in the repository:<br> EGSCyP.tar<br> REMD.tar EGSCyP.tar contains the data generated with the EGSCyP method that has been published previously:<br> https://doi.org/10.1021/acs.jcim.8b00375 REMD.tar contains the data generated with replica-exchange molecular dynamics simulations (REMD)<br> in implicit solvent using 8 replicas from 300K to 450K generated with GROMACS 5.1.4 Both archives contain the data of 20 cyclic penta-peptides, as presented in the article cited above.<br> One sub-directory per peptide. For the EGSCyP data:<br> Generated 3D structures where assembled in a single xtc file, which is not a standard trajectory here,<br> just one frame per generated structure.<br> To be able to read the xtc file, an arbitrary structure is given in a PDB file. For the REMD data:<br> Each number correspond to a replica: 0 for 300K to 7 for 450K.<br> Trajectories are either available as trr or xtc files. Coordinates are available in a gro file. <br> Contact: dirk.stratmann@upmc.fr<br> jacques.chomilier@upmc.fr<br> juan.cortes@laas.fr
DOI: 10.25625/w3yeeq/ptbf8a
title: GFBioModelDMP_1.0.pdf

description: :unav
DOI: 10.25625/w3yeeq
title: GFBio Model Data Management Plan (DMP)

description: This model was developed by GFBio to give a general idea on which main elements should be included in a data management plan (DMP) for projects with biodiversity, ecological and environmental data, and what level of detail could be applied to certain aspects (e.g. information on data formats, storage and archival strategies, adherence to a certain data policy, data sharing considerations).
DOI: 10.5281/zenodo.3947745
title: Spike timeseries, timescale extraction and descriptive statistics - Local determinants of network dynamics underly the temporal signature of cognitive states in the frontal cortex

description: Spike timeseries, autocorrelograms computation, timescale extraction and their descriptive statistics as reported in the study "Local determinants of network dynamics underly the temporal signature of cognitive states in the frontal cortex". Each .txt file contains the timeseries of a given singe-unit. The filename corresponds to the unique identifier attributed to each unit. neurons_info.Rdata provides information about each uni (recording site, spike shape, etc.) Fontanier et al - Timescale extraction and descriptive statistics.Rmd is a R markdown document including timescale extraction and their descriptive statistics.
DOI: 10.5281/zenodo.3947917
title: Emissions changes in 2020 due to Covid19

description: <strong>Emissions and climate effects due to the COVID-19 response</strong> Monthly emissions and concentrations for the effects of the Covid-19 pandemic and resulting society response. All scenarios should be compared to the input4MIPS SSP245 baseline https://esgf-node.llnl.gov/search/input4mips/ Four scenarios are given for departures from the SSP245 baseline. The baseline is also provided for convenience. Scenarios depart after the start of 2020. Monthly concentrations of CO2, CH4 and N2O are provided over 2015-2050. For short-lived species emissions are provided for BC, CO, OC, SO2, NH3, NOx, & NMVOCs. Monthly values for years:2015,2019,2020,2021,2023,2030,2040 and 2050 are provided for the four scenarios and baseline. The SSP245 baseline is also available from the input4MIPS website. NOx emissions from aviation is provided in monthly values for years:2015,2019,2020, 2021, 2022, 2023,2030,2040 and 2050. Well-mixed greenhouse gas emissions are provided for North, South and global average concentration of CO2, CH4 and N2O for all months 2015-2050 Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/ see https://github.com/Priestley-Centre/COVID19_emissions for more details Contact Piers Forster (p.m.forster@leeds.ac.uk) for more details. www.climate.leeds.ac.uk
description: Version 4 has smoother treatment of oceans, using a global value for locations not overlapping with the coast of a country (coastal locations us the country-specific modifiers). From Version 2, more years are provided via interpolation. The baseline data is also provided for convenience and interpolated onto same years. There is also a bug fix for the aerosol precursor files that affected July 2020-Dec 2021
DOI: 10.5258/soton/d1026
title: Dataset for: Domain-Specific Scenarios for Refinement-based Methods

description: Abstract Scenarios and related models for the HL3 case study described in: Snook, C., Hoang, T. S., Dghaym, D., Salehi Fathabadi, A., & Butler, M. (2020). Domain-Specific Scenarios for Refinement-based Methods. Journal of Systems Architecture.
DOI: 10.5281/zenodo.3948050
title: 2000 Tweets originados por la cuenta de @JuanManSantos

description: 2000 tweets originados en la cuenta de Juan Manuel Santos, Ex-presidente de la República de Colombia y Nobel de Paz. Retweets incluidos. Capturados 07/07/2020
DOI: 10.5281/zenodo.3948049
title: 2000 Tweets originados por la cuenta de @JuanManSantos

description: 2000 tweets originados en la cuenta de Juan Manuel Santos, Ex-presidente de la República de Colombia y Nobel de Paz. Retweets incluidos. Capturados 07/07/2020
DOI: 10.21227/ypzj-n019
title: A Prime Sieve Method

description: All primes can be indexed by $k$, as primes must be in the form of$6k+1$ or $6k-1$. In this paper, we explore for what $k$ such thateither $6k+1$ or $6k-1$ is not a prime. The results can sieve primesand especially twin primes.$k \in S_{l} \Rightarrow 6k-1 \not \in \mathbb{P}$, $k \in S_{r}\Rightarrow 6k+1 \not \in \mathbb{P},$ where $S_{l} = [-I]_{6I+1} =[I]_{6I-1} \backslash \min([I]_{6I-1}), I \in \mathbb{N},$ and$S_{r} = [-I]_{6I-1} \cup [I]_{6I+1} \backslash \min([I]_{6I+1}), I\in \mathbb{N}.$ That is,$k \not \in (S_{l1} \cup S_{l2}) \Rightarrow 6k-1 \in \mathbb{P}$and $k \not \in (S_{r1} \cup S_{r2}) \Rightarrow 6k+1 \in\mathbb{P},$ where$S_{l1}=\{k|k=(6I-1)*W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW-W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy+(x-y), x,y \in \mathbb{N}, x \leq y\}.$$S_{l2}=\{k|k=(6I+1)*W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW+W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy-(x-y), x,y \in \mathbb{N}, x \leq y\}.$$S_{r1}=\{k|k=(6I-1)*W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW-W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy-(x+y), x,y \in \mathbb{N}, x \leq y\}.$$S_{r2}=\{k|k=(6I+1)*W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW+W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy+(x+y), x,y \in \mathbb{N}, x \leq y\}.$We also propose $6k\pm1$ Conjecture that is equivalent to Two PrimeConjecture but easier to approach.
DOI: 10.21227/ce3b-5j92
title: A Prime Sieve Method

description: All primes can be indexed by $k$, as primes must be in the form of$6k+1$ or $6k-1$. In this paper, we explore for what $k$ such thateither $6k+1$ or $6k-1$ is not a prime. The results can sieve primesand especially twin primes.$k \in S_{l} \Rightarrow 6k-1 \not \in \mathbb{P}$, $k \in S_{r}\Rightarrow 6k+1 \not \in \mathbb{P},$ where $S_{l} = [-I]_{6I+1} =[I]_{6I-1} \backslash \min([I]_{6I-1}), I \in \mathbb{N},$ and$S_{r} = [-I]_{6I-1} \cup [I]_{6I+1} \backslash \min([I]_{6I+1}), I\in \mathbb{N}.$ That is,$k \not \in (S_{l1} \cup S_{l2}) \Rightarrow 6k-1 \in \mathbb{P}$and $k \not \in (S_{r1} \cup S_{r2}) \Rightarrow 6k+1 \in\mathbb{P},$ where$S_{l1}=\{k|k=(6I-1)*W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW-W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy+(x-y), x,y \in \mathbb{N}, x \leq y\}.$$S_{l2}=\{k|k=(6I+1)*W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW+W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy-(x-y), x,y \in \mathbb{N}, x \leq y\}.$$S_{r1}=\{k|k=(6I-1)*W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW-W-I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy-(x+y), x,y \in \mathbb{N}, x \leq y\}.$$S_{r2}=\{k|k=(6I+1)*W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6IW+W+I, W \in \mathbb{N}, I \leq W, I \in \mathbb{N}\}\\=\{k|k=6xy+(x+y), x,y \in \mathbb{N}, x \leq y\}.$We also propose $6k\pm1$ Conjecture that is equivalent to Two PrimeConjecture but easier to approach.
DOI: 10.21227/946z-y844
title: Dataset for "Adaptive Content Seeding for Information-Centric Networking under High Topology Dynamics"

description: Dataset to accompany the manuscript "Adaptive Content Seeding for Information-Centric Networking under High Topology Dynamics".
DOI: 10.21227/4p9k-bp86
title: Dataset for "Adaptive Content Seeding for Information-Centric Networking under High Topology Dynamics"

description: Dataset to accompany the manuscript "Adaptive Content Seeding for Information-Centric Networking under High Topology Dynamics".
DOI: 10.5281/zenodo.3948112
title: Dataset - Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing

description: This dataset was created by Marc Schwaerzel (marc.schwaerzel@empa.ch) and is intended to get along with the Schwaerzel et al. (2020) AMT publication (amt-2020-146) . The data and the data structure is described in the<em> <strong>readme.txt</strong></em> file. The dataset contains: - libRadtran input files - libRadtran output - name lists - GRAL simulation outputs
description: Should you have any questions or requests, please contact the main author (marc.schwaerzel@empa.ch) or the publication contact author (gerrit.kuhlmann@empa.ch)
DOI: 10.5281/zenodo.3948111
title: Dataset - Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing

description: This dataset was created by Marc Schwaerzel (marc.schwaerzel@empa.ch) and is intended to get along with the Schwaerzel et al. (2020) AMT publication (amt-2020-146) . The data and the data structure is described in the<em> <strong>readme.txt</strong></em> file. The dataset contains: - libRadtran input files - libRadtran output - name lists - GRAL simulation outputs
description: Should you have any questions or requests, please contact the main author (marc.schwaerzel@empa.ch) or the publication contact author (gerrit.kuhlmann@empa.ch)
DOI: 10.5523/bris.28qz26mc70f5n2vea0g9h0jwzn
title: Effects of state anxiety on gait: a 7.5% carbon dioxide challenge study

description: This study investigated the effects of state anxiety on gait. State anxiety was induced using the 7.5% carbon dioxide (CO2) inhalation procedure. Participants (n=24 recruited, n=22 for analysis) attended one session and completed two 20-minute inhalations: one of medical air (placebo) and one of 7.5% CO2. During each inhalation, participants walked the length of the laboratory while navigating through obstacles. The main findings were that overall walking speed was slower and body rotation (i.e., body adjustment through an obstacle) was greater during 7.5 CO2 compared to air. The study protocol was pre-registered on the open science framework: https://osf.io/m4etx/
DOI: 10.5281/zenodo.3947843
title: [BIOCOM-PIPE] Artificial dataset from ZymoBIOMICS

description: This artificial dataset is a microbial community from ZymoBIOMICS. More precisely, it is a mock microbial community consisting of eight bacterial and two fungal strains (see PDF for its specific composition). It includes three easy-to-lyse Gram-negative bacteria (<em>e.g. Escherichia coli</em>), five tough-to-lyse Gram-positive bacteria (<em>e.g. Listeria monocytogenes</em>), and two tough-to-lyse yeasts (<em>e.g. Cryptococcus neoformans</em>). The 16S/18S rRNA sequences (FASTA format) and genomes (FASTA format) of these strains are available at: https://s3.amazonaws.com/zymo-files/BioPool/ZymoBIOMICS.STD.refseq.v2.zip. A 16S rRNA gene fragment targeting the V3-V4 regions to characterize bacterial diversity was amplified using the primers F479 (5’-CAGCMGCYGCNGTAANAC-3’) and R888 (5’-CCGYCAATTCMTTTRAGT-3’) using the expertise and protocols from the GenoSol platform. The 16S PCR products were then purified and quantified using the QuantiFluor staining kit (Promega, USA). A second PCR of 7 cycles was then duplicated for each sample under similar PCR conditions, with purified PCR products as matrix (7.5ng of DNA were used for a 25μl mix of PCR) and dedicated fusion primers (‘F479/MID’, ‘R888/MID/’) integrating multiplex identifiers at 5’ extremities. All duplicated PCR products were then pooled, purified and quantified using the QuantiFluor staining kit (Promega, USA). Samples were pooled, and then cleaned to remove excess nucleotides, salts and enzymes using the Agencourt AMPure XP system (Beckman Coulter Genomics). The V3-V4 regions of the 16S rRNA genes generated using Illumina MiSeq technology (4 and 3 replicates from two independent runs) were then obtained. Pair-end reads were then trimmed (Q30 for 3' end) with PRINSeq, and assembled with FLASH (a minimum of 10 and a maximum of 100 bases overlapping was required with a minimum of 96% of homology between reads). The seven samples came from two independent RUNs of Illumina MiSeq (RUN01 and RUN02), one encompassing four replicates, and another three replicates, each one from independent PCR reactions.
DOI: 10.5281/zenodo.3947842
title: [BIOCOM-PIPE] Artificial dataset from ZymoBIOMICS

description: This artificial dataset is a microbial community from ZymoBIOMICS. More precisely, it is a mock microbial community consisting of eight bacterial and two fungal strains (see PDF for its specific composition). It includes three easy-to-lyse Gram-negative bacteria (<em>e.g. Escherichia coli</em>), five tough-to-lyse Gram-positive bacteria (<em>e.g. Listeria monocytogenes</em>), and two tough-to-lyse yeasts (<em>e.g. Cryptococcus neoformans</em>). The 16S/18S rRNA sequences (FASTA format) and genomes (FASTA format) of these strains are available at: https://s3.amazonaws.com/zymo-files/BioPool/ZymoBIOMICS.STD.refseq.v2.zip. A 16S rRNA gene fragment targeting the V3-V4 regions to characterize bacterial diversity was amplified using the primers F479 (5’-CAGCMGCYGCNGTAANAC-3’) and R888 (5’-CCGYCAATTCMTTTRAGT-3’) using the expertise and protocols from the GenoSol platform. The 16S PCR products were then purified and quantified using the QuantiFluor staining kit (Promega, USA). A second PCR of 7 cycles was then duplicated for each sample under similar PCR conditions, with purified PCR products as matrix (7.5ng of DNA were used for a 25μl mix of PCR) and dedicated fusion primers (‘F479/MID’, ‘R888/MID/’) integrating multiplex identifiers at 5’ extremities. All duplicated PCR products were then pooled, purified and quantified using the QuantiFluor staining kit (Promega, USA). Samples were pooled, and then cleaned to remove excess nucleotides, salts and enzymes using the Agencourt AMPure XP system (Beckman Coulter Genomics). The V3-V4 regions of the 16S rRNA genes generated using Illumina MiSeq technology (4 and 3 replicates from two independent runs) were then obtained. Pair-end reads were then trimmed (Q30 for 3' end) with PRINSeq, and assembled with FLASH (a minimum of 10 and a maximum of 100 bases overlapping was required with a minimum of 96% of homology between reads). The seven samples came from two independent RUNs of Illumina MiSeq (RUN01 and RUN02), one encompassing four replicates, and another three replicates, each one from independent PCR reactions.
DOI: 10.5281/zenodo.3948150
title: PBMC 3k test datasets for besca

description: This is a single cell transcriptomics dataset containing roughly 3,000 PBMCs. The original data was downloaded from the Seurat 3k PBMC tutorial: https://satijalab.org/seurat/v3.0/pbmc3k_tutorial.html. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
description: {"references": ["Butler A, Hoffman P, Smibert P, Papalexi E, Satija R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat Biotechnol. 2018;36(5):411\u2010420. doi:10.1038/nbt.4096", "https://satijalab.org/seurat/v3.0/pbmc3k_tutorial.html"]}
DOI: 10.5281/zenodo.3948160
title: Laramide orogenesis driven by Late Cretaceous weakening of the North American lithosphere

description: All data and results for "<strong>Laramide orogenesis driven by Late Cretaceous weakening of the North American lithosphere"</strong>
DOI: 10.5281/zenodo.3662882
title: Laramide orogenesis driven by Late Cretaceous weakening of the North American lithosphere

description: All data and results for "<strong>Laramide orogenesis driven by Late Cretaceous weakening of the North American lithosphere"</strong>
DOI: 10.21227/jcc9-gh18
title: Test

description: Delete
DOI: 10.5281/zenodo.3948207
title: Mobile EEG identifies the re-allocation of attention during real-world activity

description: All the datasets from the three studies reported in the scientific article "Mobile EEG identifies the re-allocation of attention during real-world activity" 10.1038/s41598-019-51996-y
DOI: 10.5281/zenodo.3948206
title: Mobile EEG identifies the re-allocation of attention during real-world activity

description: All the datasets from the three studies reported in the scientific article "Mobile EEG identifies the re-allocation of attention during real-world activity" 10.1038/s41598-019-51996-y
DOI: 10.5281/zenodo.3932935
title: Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project

description: This archive provides the model result of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project.
DOI: 10.5281/zenodo.3932934
title: Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project

description: This archive provides the model result of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project.
DOI: 10.21227/zmv6-db02
title: Data of the paper Modeling the hydro production function in MILP

description: - Turbine hydro production functions of the plants.- Daily and weekly water inflow profiles of the reservoirs.- Daily and weekly energy price profiles.
DOI: 10.5281/zenodo.3948228
title: Secondary studies in the academic context: A systematic mapping and survey

description: An online version of the survey executed in the paper "Secondary studies in the academic context: A systematic mapping and survey".
DOI: 10.5281/zenodo.3948227
title: Secondary studies in the academic context: A systematic mapping and survey

description: An online version of the survey executed in the paper "Secondary studies in the academic context: A systematic mapping and survey".
DOI: 10.25386/genetics.12645833
title: Supplemental Material for Rio et al., 2020

description: These files correspond to supplemental material associated with the study: "Accounting for group-specific allele effects and admixture in genomic predictions: theory and experimental evaluation in maize", written by Simon Rio, Laurence Moreau, Alain Charcosset and Tristan Mary-Huard in 2020.<br>Files include:- File_S1 (.pdf): Details on MAGBLUP-RI derivation- File_S2 (.pdf): Presentation of an alternative formalism for GBLUP according to which both individuals and allele effects are random- File_S3 (.pdf): Precision of MAGBLUP-RI and -RAE variance estimates- File_S4 (.csv): LS-means of the 970 individuals of the Flint-Dent dataset for five real traits- File_S5 (.R): Main R code to run all GBLUP and MAGBLUP models- File_S6 (.R): R functions to be used in the main R code- File_S7 (.pdf): Supplementary figures- File_S8 (.pdf): Supplementary tables<br><br>
DOI: 10.25386/genetics.12645833.v1
title: Supplemental Material for Rio et al., 2020

description: These files correspond to supplemental material associated with the study: "Accounting for group-specific allele effects and admixture in genomic predictions: theory and experimental evaluation in maize", written by Simon Rio, Laurence Moreau, Alain Charcosset and Tristan Mary-Huard in 2020.<br>Files include:- File_S1 (.pdf): Details on MAGBLUP-RI derivation- File_S2 (.pdf): Presentation of an alternative formalism for GBLUP according to which both individuals and allele effects are random- File_S3 (.pdf): Precision of MAGBLUP-RI and -RAE variance estimates- File_S4 (.csv): LS-means of the 970 individuals of the Flint-Dent dataset for five real traits- File_S5 (.R): Main R code to run all GBLUP and MAGBLUP models- File_S6 (.R): R functions to be used in the main R code- File_S7 (.pdf): Supplementary figures- File_S8 (.pdf): Supplementary tables<br><br>
DOI: 10.21227/cme0-da64
title: DiSPLaY Multimodal MedSLset (Medical Sign Language Set)

description: The dataset contains medical signs of the sign language including different modalities of color frames, depth frames, infrared frames, body index frames, mapped color body on depth scale, and 2D/3D skeleton information in color and depth scales and camera space. The language level of the signs is mostly Word and 55 signs are performed by 16 persons two times (55x16x2=1760 performance in total). The signs include: Age, Alcohol poisoning, Anxiety, Appendicitis, Asthma spray, Audiogram, Audiometry, Blood pressure, Brain stroke, Can, Cannot, Cerebral hemorrhage, Chest, Chronic disease, Cold, Cough, Deaf, Depression, Diabetes, Fever, Future, Hand Prickle, Hand tendon rupture, Have, Have not, Headache, Hearing impaired, Heart attack, Injection of ampoules, Kidney stone, Lungs, Medical consultation, Medical prescription, Medical records, Medical scheduling, Mumps, Needle, Now, Past, Poisoning, Psychosis, Respiratory infection, Semi-hearing ( Half-hearing), Sicken, Stable (Steady), Stomach, Surgery, Today, Tomorrow, Tonsillitis, Toothache, Vaccinate, Vomit, Year, Yesterday.
DOI: 10.18112/openneuro.ds002351.v1.0.1
title: Transposition confusability during visual word recognition