cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14184078.v1
title: Additional file 14 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 14: Table S13. PCR conditions for each pair of primers (Additional file 13: Table S12) used in amplification of circadian-related genes.
DOI: 10.6084/m9.figshare.14184075.v1
title: Additional file 13 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 13: Table S12. List of primer pairs and respective sequences used in PCR to (re)sequence circadian-related genes with Sanger method in Squalius species.
DOI: 10.6084/m9.figshare.14184072.v1
title: Additional file 12 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 12: Table S11. Number of sites in coding proteins for genes of the negative loop (cry and per) and of the positive loop (bmal and clock) of circadian-related genes.
DOI: 10.6084/m9.figshare.14184023.v1
title: Additional file 4 of Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

description: Additional file 4. The agrochemical benchmarking set (CSV).
DOI: 10.6084/m9.figshare.14184017.v1
title: Additional file 2 of Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

description: Additional file 2. The merged benchmarking set of 977 compounds used in main text (CSV).
DOI: 10.6084/m9.figshare.14184014.v1
title: Additional file 1 of Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

description: Additional file 1. Visualisation of PubChem Compound TOC Content in PubChemLite (RMarkdown).
DOI: 10.6084/m9.figshare.14183993.v1
title: Additional file 7 of cAMP activates calcium signalling via phospholipase C to regulate cellulase production in the filamentous fungus Trichoderma reesei

description: Additional file 7: Table S1. Genes that are significantly up- or down-regulated in T. reesei QM6a with 10 mM Mn2+ addition when compared with no addition.
DOI: 10.6084/m9.figshare.14183787.v1
title: Additional file 2 of Tolerance of Yarrowia lipolytica to inhibitors commonly found in lignocellulosic hydrolysates

description: Additional file 2.
DOI: 10.5281/zenodo.4589727
title: Reduced Complexity Model Intercomparison Project (RCMIP) protocol

description: Reduced Complexity Model Intercomparison Project (RCMIP) protocol. The protocol defines all of RCMIP's experiments as well as RCMIP's submission template. If used, please also cite Nicholls et al., GMD 2020 (https://doi.org/10.5194/gmd-13-5175-2020).
DOI: 10.6084/m9.figshare.14183784.v1
title: Additional file 1 of Tolerance of Yarrowia lipolytica to inhibitors commonly found in lignocellulosic hydrolysates

description: Additional file 1.
DOI: 10.6084/m9.figshare.14183777.v1
title: Additional file 3 of CDCA8 as an independent predictor for a poor prognosis in liver cancer

description: Additional file 3: Table S3. Kaplan–Meier survival analyses for OS analysis in liver cancer patients. Kaplan–Meier survival analysis was used to compare OS in liver cancer patients in the high and low CDCA8 expression groups in liver cancer patients.
DOI: 10.6084/m9.figshare.14183774.v1
title: Additional file 2 of CDCA8 as an independent predictor for a poor prognosis in liver cancer

description: Additional file 2: Table S2. Expression of CDCA8 in normal tissues and liver cancer tissues.CDCA8 expression is significantly higher in liver cancer tissues than in matched to normal tissues tissues in the TCGA dataset.
DOI: 10.6084/m9.figshare.14183771.v1
title: Additional file 1 of CDCA8 as an independent predictor for a poor prognosis in liver cancer

description: Additional file 1: Table S1. Characteristics of all patients with liver cancer from the TCGA database. Clinicopathological features of all liver cancer patients from the TCGA database.
DOI: 10.6084/m9.figshare.14183745.v1
title: Additional file 9 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 9. DESeq2_Kenyan_adult_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183742.v1
title: Additional file 8 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 8. KEGG_meth_Kenyan_adult_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183736.v1
title: Additional file 7 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 7. DMPs_Kenyan_adult_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183733.v1
title: Additional file 6 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 6. DMPs_Kenyan_child_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183730.v1
title: Additional file 5 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 5. DESeq2_Kenyan_child_vs_Kenyan_adult.csv.
DOI: 10.6084/m9.figshare.14183727.v1
title: Additional file 4 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 4. KEGG_meth_Kenyan_child_vs_Kenyan_adult.csv.
DOI: 10.6084/m9.figshare.14183724.v1
title: Additional file 3 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 3. DMRs_Kenyan_child_vs_Kenyan_adult.csv.
DOI: 10.6084/m9.figshare.14183721.v1
title: Additional file 2 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 2. DMPs_Kenyan_child_vs_Kenyan_adult.csv.
DOI: 10.13139/ornlnccs/1768597
title: Subtropical Jet in Reanalysis Data from STJ_PV

description: Subtropical jet position from a new method for locating the subtropical jet, called the tropopause gradient method. It is based on the peak gradient in potential temperature along the dynamic tropopause. This data has the identified subtropical jet latitude, level, and intensity across four different reanalysis products (CFSR-2, ERA-Interim, JRA-55, and MERRA-2), at both daily and monthly output frequency.
DOI: 10.6084/m9.figshare.14183099.v1
title: Table 1

description: Table 1. The frequency table of mood states before and after in the 28,030 contacts self-reported by the ego of the 963 triplets.
DOI: 10.6084/m9.figshare.14183033.v2
title: A model for the relationship between plant biomass and photosynthetic rate based on nutrient effects

description: The photosynthetic rate is considered to be affected by individual biomass and limited by nutrients. Metabolic scaling models are often utilized to predict photosynthetic rates based on plant size and other factors, such as temperature and plant nutrient composition. However, the intrinsic regulatory mechanisms of the combined factors that affect the photosynthetic rates of living organisms are subject to debate. Here, we present a model developed from the metabolic scaling model, the Michaelis-Menten equation and elemental stoichiometric models to precisely predict the relationship between plant photosynthetic rate and biomass. The developed model was verified against data for small woody and nonwoody plants, and in comparison to the typical metabolic scaling model, this model was shown to be more capable of explaining the photosynthesis-biomass relationship. Moreover, the results showed that the combined factors affected photosynthesis via the regulatory effect of nutrients on photosynthesis-biomass allometry. We highlight that nutrients have direct effects on the allocation of plant biomass and photosynthetic investment under stable and balanced growth states.<br>
DOI: 10.6084/m9.figshare.14183033.v1
title: A model for the relationship between plant biomass and photosynthetic rate based on nutrient effects

description: The photosynthetic rate is considered to be affected by individual biomass and limited by nutrients. Metabolic scaling models are often utilized to predict photosynthetic rates based on plant size and other factors, such as temperature and plant nutrient composition. However, the intrinsic regulatory mechanisms of the combined factors that affect the photosynthetic rates of living organisms are subject to debate. Here, we present a model developed from the metabolic scaling model, the Michaelis-Menten equation and elemental stoichiometric models to precisely predict the relationship between plant photosynthetic rate and biomass. The developed model was verified against data for small woody and nonwoody plants, and in comparison to the typical metabolic scaling model, this model was shown to be more capable of explaining the photosynthesis-biomass relationship. Moreover, the results showed that the combined factors affected photosynthesis via the regulatory effect of nutrients on photosynthesis-biomass allometry. We highlight that nutrients have direct effects on the allocation of plant biomass and photosynthetic investment under stable and balanced growth states.<br>
DOI: 10.14457/ku.res.2019.138
title: ปัจจัยที่มีความสัมพันธ์ต่อระดับความเครียดของบุคลากรโรงพยาบาลรัฐบาลแห่งหนึ่งในจังหวัดสมุทรปราการ (เรื่องเต็มการประชุมทางวิชาการของมหาวิทยาลัยเกษตรศาสตร์ ครั้งที่ 57: สาขาศึกษาศาสตร์, สาขาเศรษฐศาสตร์และบริหารธุรกิจ, สาขามนุษยศาสตร์และสังคมศาสตร์)
DOI: 10.6084/m9.figshare.14182895.v1
title: Ribosomal protein database of Raoultella planticola strain R3467

description: This work presents the ribosomal protein database of <i>Raoultella planticola </i>strain R3467<i>. </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14182832.v1
title: Data availability Pallett et al. DDX50 is a viral restriction factor that enhances TRIF-dependent IRF3 activation

description: RAW for "DDX50 is a viral restriction factor that enhances TRIF-dependent IRF3 activation"
DOI: 10.6084/m9.figshare.14139488.v1
title: Human Movement Science_2021

description: The datasets analyzed for the manuscript entitled “Skill differences in a discrete motor task arising from the environmental perception phase”.
DOI: 10.23641/asha.14110445.v1
title: ACT4CAS (Beiting & Maas, 2021)

description: <b>Purpose: </b>A subset of children with autism spectrum disorder (ASD) has speech sound disorders, including childhood apraxia of speech (CAS). To date, virtually all speech treatment studies consider ASD an exclusionary criterion, resulting in little scientific evidence for treatment of CAS for children who also have ASD. This study proposes and tests a novel approach, Autism-Centered Therapy for Childhood Apraxia of Speech (ACT4CAS), as a theoretically and clinically informed speech treatment option for this population.<b>Method: </b>Using a multiple-baseline design within and across participants, three children with co-occurring ASD and CAS received 11–18 treatment sessions. Treatment targets were individually designed and matched with untreated control words. Probes were administered at the start of each session to assess speech production accuracy perceptually. Changes in production accuracy were examined through visual inspection and quantified with effect sizes. <b>Results:</b> Findings were mixed, with one child showing significant gains for half of the treated targets at follow-up and two children showing no clear improvement.<b>Conclusions: </b>Preliminary evidence suggests potentially positive treatment effects for ACT4CAS when implemented as intended, although treatment intensity and disorder severity likely influence treatment outcome. Replication and comparison of ACT4CAS to other speech treatments is needed.<br><b>Supplemental Material S1.</b> Target selection. <br>Beiting, M., & Maas, E. (2021). Autism-Centered Therapy for Childhood Apraxia of Speech (ACT4CAS): A single-case experimental design study.<i> American Journal of Speech-Language Pathology. </i>Advance online publication. https://doi.org/10.1044/2020_AJSLP-20-00131<br><b>Publisher Note: </b>This article is part of the Special Issue: Select Papers From the 2020 Conference on Motor Speech.
DOI: 10.6084/m9.figshare.13543211.v4
title: Intact parathyroid hormone levels for predicting the localization of causative parathyroid glands for persistent or recurrent secondary hyperparathyroidism: A retrospective cohort study

description: The datasets on intact parathyroid hormone levels for predicting the localization of causative parathyroid glands for persistent or recurrent secondary hyperparathyroidism
DOI: 10.6084/m9.figshare.13543211.v3
title: Intact parathyroid hormone levels for predicting the localization of causative parathyroid glands for persistent or recurrent secondary hyperparathyroidism: A retrospective cohort study

description: The datasets on intact parathyroid hormone levels for predicting the localization of causative parathyroid glands for persistent or recurrent secondary hyperparathyroidism
DOI: 10.6084/m9.figshare.13543211.v2
title: Intact parathyroid hormone levels for predicting the localization of causative parathyroid glands for persistent or recurrent secondary hyperparathyroidism: A retrospective cohort study

description: The datasets on intact parathyroid hormone levels for predicting the localization of causative parathyroid glands for persistent or recurrent secondary hyperparathyroidism
DOI: 10.25416/ntr.13247111.v5
title: NTR - Curator and Critical Friend Affiliations

description: <b>Who supports The National Teaching Repository? Click here to find out!</b><br><b><br></b>Click here to submit: figshare.edgehill.ac.uk/submit
DOI: 10.6084/m9.figshare.13184909.v1
title: Raw data for Main figures 1-7 and Supplemental Figures 1-28

description: Data files for "A dysfunctional TRPV4–GSK3β pathway prevents osteoarthritic chondrocytes from sensing changes in extracellular matrix viscoelasticity".
DOI: 10.6084/m9.figshare.12651074.v7
title: Extended Data for A rooted phylogeny resolves early bacterial evolution

description: Extended Data for A rooted phylogeny resolves early bacterial evolution
DOI: 10.6084/m9.figshare.12094104.v1
title: Metabolomics Workbench mwTab and JSON formatted data files (as of Nov. 20th, 2020)

description: FigShare repository containing three .zip archives. The first, 'data_11_20_2020.zip' contains original 'mwTab' and JSON formatted data files downloaded from Metabolomics Workbench as of Nov 20th, 2020. The second, 'mwtab-dev.zip' contains a developer version of the 'mwtab' Python package which was used to analysis the Metabolomics Workbench data repository. The third and final, 'analysis.zip' contains the ipython notebook script which was used to conduct the analysis.
DOI: 10.6084/m9.figshare.14184105
title: Additional file 9 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 9: Table S8. Summary of sites with evidence of increased dN/dS ratios (estimated β) on lineages of Squalius pyrenaicus (Almargem) and S. aradensis lineages (foreground) with evidence of convergence, corresponding changes in amino acids and predicted protein impacts.
DOI: 10.6084/m9.figshare.14184102
title: Additional file 8 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 8: Table S7. Summary of sites with evidence of increased dN/dS ratios (estimated β) on Squalius torgalensis and S. aradensis clade (foreground) or in S. carolitertii, S. pyrenaicus clade (background), corresponding changes in amino acids and predicted protein impacts.
DOI: 10.6084/m9.figshare.14184099
title: Additional file 7 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 7: Table S6. Summary of branch-site positive selection analysis using the aBSREL method implemented in Datamonkey webserver.
DOI: 10.6084/m9.figshare.14184096
title: Additional file 6 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 6: Table S5. Summary of sites detected to be under positive selection using MEME and FUBAR methods, and corresponding changes in amino acid and predicted impacts.
DOI: 10.6084/m9.figshare.14184093
title: Additional file 5 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 5: Table S4. Summary of gene-wide positive selection analysis in circadian-related genes using the BUSTED method implemented in Datamonkey webserver.
DOI: 10.6084/m9.figshare.14184090
title: Additional file 4 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 4: Table S3. Patterns of protein-protein interactions for circadian-related protein predicted with STRING v10.5 with a threshold of 0.7 for score.
DOI: 10.6084/m9.figshare.14184087
title: Additional file 3 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 3: Table S2. List of Danio rerio and Drosophila melanogaster Uniprot accession ID for target proteins and ENA accession IDs for corresponding coding genes.
DOI: 10.6084/m9.figshare.14184084
title: Additional file 2 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 2: Table S1. Circadian related genes identified with respective annotations obtained in functional annotation analysis. ENA accession numbers are for non-redundant Squalius sequences obtained by Sanger sequencing in this work.
DOI: 10.6084/m9.figshare.14184078
title: Additional file 14 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 14: Table S13. PCR conditions for each pair of primers (Additional file 13: Table S12) used in amplification of circadian-related genes.
DOI: 10.6084/m9.figshare.14184075
title: Additional file 13 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 13: Table S12. List of primer pairs and respective sequences used in PCR to (re)sequence circadian-related genes with Sanger method in Squalius species.
DOI: 10.6084/m9.figshare.14184072
title: Additional file 12 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 12: Table S11. Number of sites in coding proteins for genes of the negative loop (cry and per) and of the positive loop (bmal and clock) of circadian-related genes.
DOI: 10.6084/m9.figshare.14184069
title: Additional file 11 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 11: Table S10. Predicted physicochemical parameters (AI – Aliphatic index and pI – isolectric point) for each predicted protein.
DOI: 10.6084/m9.figshare.14184063
title: Additional file 10 of Adaptation and convergence in circadian‐related genes in Iberian freshwater fish

description: Additional file 10: Table S9. Summary of the results obtained by FEL analysis for pervasive negative selection and with FUBAR for detecting negative selection in coding genes for circadian-related proteins.
DOI: 10.6084/m9.figshare.14184023
title: Additional file 4 of Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

description: Additional file 4. The agrochemical benchmarking set (CSV).
DOI: 10.6084/m9.figshare.14184017
title: Additional file 2 of Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

description: Additional file 2. The merged benchmarking set of 977 compounds used in main text (CSV).
DOI: 10.6084/m9.figshare.14184014
title: Additional file 1 of Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag

description: Additional file 1. Visualisation of PubChem Compound TOC Content in PubChemLite (RMarkdown).
DOI: 10.6084/m9.figshare.14183993
title: Additional file 7 of cAMP activates calcium signalling via phospholipase C to regulate cellulase production in the filamentous fungus Trichoderma reesei

description: Additional file 7: Table S1. Genes that are significantly up- or down-regulated in T. reesei QM6a with 10 mM Mn2+ addition when compared with no addition.
DOI: 10.14457/ku.res.2019.139
title: การเตรียมความพร้อมของแรงงานนอกระบบเพื่อการเป็นผู้สูงอายุที่มีพฤฒพลัง (เรื่องเต็มการประชุมทางวิชาการของมหาวิทยาลัยเกษตรศาสตร์ ครั้งที่ 57: สาขาศึกษาศาสตร์, สาขาเศรษฐศาสตร์และบริหารธุรกิจ, สาขามนุษยศาสตร์และสังคมศาสตร์)
DOI: 10.14457/ku.res.2019.140
title: สภาพปัญหาการจัดซื้อจัดจ้างในหน่วยงานภาครัฐที่ก่อให้เกิดการทุจริตคอรัปชั่น (เรื่องเต็มการประชุมทางวิชาการของมหาวิทยาลัยเกษตรศาสตร์ ครั้งที่ 57: สาขาศึกษาศาสตร์, สาขาเศรษฐศาสตร์และบริหารธุรกิจ, สาขามนุษยศาสตร์และสังคมศาสตร์)
DOI: 10.14457/ku.res.2019.141
title: อิทธิพลของสถานะต่อการแพร่ทางอารมณ์ (เรื่องเต็มการประชุมทางวิชาการของมหาวิทยาลัยเกษตรศาสตร์ ครั้งที่ 57: สาขาศึกษาศาสตร์, สาขาเศรษฐศาสตร์และบริหารธุรกิจ, สาขามนุษยศาสตร์และสังคมศาสตร์)
DOI: 10.6084/m9.figshare.14183787
title: Additional file 2 of Tolerance of Yarrowia lipolytica to inhibitors commonly found in lignocellulosic hydrolysates

description: Additional file 2.
DOI: 10.6084/m9.figshare.14183784
title: Additional file 1 of Tolerance of Yarrowia lipolytica to inhibitors commonly found in lignocellulosic hydrolysates

description: Additional file 1.
DOI: 10.6084/m9.figshare.14183777
title: Additional file 3 of CDCA8 as an independent predictor for a poor prognosis in liver cancer

description: Additional file 3: Table S3. Kaplan–Meier survival analyses for OS analysis in liver cancer patients. Kaplan–Meier survival analysis was used to compare OS in liver cancer patients in the high and low CDCA8 expression groups in liver cancer patients.
DOI: 10.6084/m9.figshare.14183774
title: Additional file 2 of CDCA8 as an independent predictor for a poor prognosis in liver cancer

description: Additional file 2: Table S2. Expression of CDCA8 in normal tissues and liver cancer tissues.CDCA8 expression is significantly higher in liver cancer tissues than in matched to normal tissues tissues in the TCGA dataset.
DOI: 10.6084/m9.figshare.14183771
title: Additional file 1 of CDCA8 as an independent predictor for a poor prognosis in liver cancer

description: Additional file 1: Table S1. Characteristics of all patients with liver cancer from the TCGA database. Clinicopathological features of all liver cancer patients from the TCGA database.
DOI: 10.6084/m9.figshare.14183745
title: Additional file 9 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 9. DESeq2_Kenyan_adult_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183742
title: Additional file 8 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 8. KEGG_meth_Kenyan_adult_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183736
title: Additional file 7 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 7. DMPs_Kenyan_adult_vs_US_adult.csv.
DOI: 10.6084/m9.figshare.14183733
title: Additional file 6 of Age-related differences in monocyte DNA methylation and immune function in healthy Kenyan adults and children

description: Additional file 6. DMPs_Kenyan_child_vs_US_adult.csv.