cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11973333
title: Be Dog Smart Workshop Evaluation Data

description: Randomised controlled trial data collected as part of an impact assessment for Be Dog Smart workshops aiming to increase children's attitudes towards responsible ownership.<br>Data coded as 0/1: 0= No, 1= Yes
DOI: 10.6084/m9.figshare.11973294
title: KBOX OWL

description: This dataset contains a KB version of the OWL ontology.
DOI: 10.6084/m9.figshare.11973294.v1
title: KBOX OWL

description: This dataset contains a KB version of the OWL ontology.
DOI: 10.6084/m9.figshare.11973198
title: Supplemental Data 4.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973195
title: Suppl. Data 2.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973198.v1
title: Supplemental Data 4.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973189
title: Suppl. Data 3.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973192
title: Suppl. Data 1.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973195.v1
title: Suppl. Data 2.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973189.v1
title: Suppl. Data 3.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973192.v1
title: Suppl. Data 1.xlsx

description: supplemental figures for doi:10.1152/physiological genomics.00001.2020
DOI: 10.6084/m9.figshare.11973183
title: Hong Kong International Airport_Passengers_Jan 1998 to Jan 2020

description: How big is the impact of COVID-19 (and Social Unrest) on Hong Kong's passenger flights (the number of passengers)?
DOI: 10.6084/m9.figshare.11973183.v1
title: Hong Kong International Airport_Passengers_Jan 1998 to Jan 2020

description: How big is the impact of COVID-19 (and Social Unrest) on Hong Kong's passenger flights (the number of passengers)?
DOI: 10.6084/m9.figshare.11973147
title: Supplementary_Table1AelesetalJN.docx

description: This table is to accompany the manuscript titled "Fine-wire recordings of flexor hallucis brevis motor units up to maximal voluntary contraction reveal a flexible, non-rigid mechanism for force control" by Aeles et al.
DOI: 10.6084/m9.figshare.11973093
title: Effects of Hypersensitivity Disorders and Environmental Factors on the Equine Intestinal Microbiota

description: Data files and R code for the research article "Effects of Hypersensitivity Disorders and Environmental Factors on the Equine Intestinal Microbiota"<br>Content:Additional file 1 - MetadataAdditional file 2 - R pipeline<br>Additional file 3 - R analysis<br>Additional file 4 - Location effect, weighted distances<br>Additional file 5 - Location effect, unweighted distances<br>Additional file 6 - Phyla abundances<br>DNA reads for this study have been deposited in NCBI's Short Read Archive (SRA) repository under accession number PRJNA548852.<br>
DOI: 10.6084/m9.figshare.11973090
title: Toxic_effects_of_fine_plant_powder_Dataset.xlsx

description: The data describe mortality rates of mosquito and non-target aquatic invertebrates treated with avermectins
DOI: 10.6084/m9.figshare.11973093.v1
title: Effects of Hypersensitivity Disorders and Environmental Factors on the Equine Intestinal Microbiota

description: Data files and R code for the research article "Effects of Hypersensitivity Disorders and Environmental Factors on the Equine Intestinal Microbiota"<br>Content:Additional file 1 - MetadataAdditional file 2 - R pipeline<br>Additional file 3 - R analysis<br>Additional file 4 - Location effect, weighted distances<br>Additional file 5 - Location effect, unweighted distances<br>Additional file 6 - Phyla abundances<br>DNA reads for this study have been deposited in NCBI's Short Read Archive (SRA) repository under accession number PRJNA548852.<br>
DOI: 10.6084/m9.figshare.11973090.v1
title: Toxic_effects_of_fine_plant_powder_Dataset.xlsx

description: The data describe mortality rates of mosquito and non-target aquatic invertebrates treated with avermectins
DOI: 10.6084/m9.figshare.11972946
title: Rayleigh Solver Positive V from Self-sustaining critical layer/shear layer interaction in annular Poiseuille–Couette flow at high Reynolds number

description: This solves the Rayleigh equation of Section 3 for positive sliding velocities (filename APCFRayleighVp.nb)
DOI: 10.6084/m9.figshare.11972940
title: Evaluation of g(s) from Self-sustaining critical layer/shear layer interaction in annular Poiseuille–Couette flow at high Reynolds number

description: This evaluates the function g(s) defined in section 3(e) (filename: gevaluation.nb)
DOI: 10.6084/m9.figshare.11972943
title: Rayleigh Solver Negative V from Self-sustaining critical layer/shear layer interaction in annular Poiseuille–Couette flow at high Reynolds number

description: This solves the Rayleigh equation of Section 3 for negative sliding velocities (filename: APCFRayleighVn.nb)
DOI: 10.6084/m9.figshare.11972946.v1
title: Rayleigh Solver Positive V from Self-sustaining critical layer/shear layer interaction in annular Poiseuille–Couette flow at high Reynolds number

description: This solves the Rayleigh equation of Section 3 for positive sliding velocities (filename APCFRayleighVp.nb)
DOI: 10.6084/m9.figshare.11972937
title: KalmanFilterDEMO_IJGIS

description: The data and codes used in the paper published in IJGIS.<br>Title: Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach<br>Authors: Bisong Hu<sup>a,b</sup>, Pan Ning<sup>a</sup>, Yi Li<sup>c</sup>, Chengdong Xu<sup>b</sup>, George Christakos<sup>d</sup> and Jinfeng Wang<sup>b*</sup> <sup>a</sup>School of Geography and Environment, Jiangxi Normal University, Nanchang, China; <sup>b</sup>State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; <sup>c</sup>National Engineering Research Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;<sup> d</sup>Geography Department, San Diego State University, San Diego, USAContact: Jinfeng Wang, wangjf@lreis.ac.cn<br>Abstract: In this work, a synthesis of the Bayesian maximum entropy (BME) and the Kalman filter (KF) methods, which enhances their individual strengths and overcomes certain of their weaknesses for spatiotemporal mapping purposes, is proposed in a spatiotemporal disease mapping context. The proposed BME-Kalman synthesis allows BME to use information from both parametric regression modeling and KF estimation leading to enhanced knowledge bases. The BME-Kalman synthetic approach is used to study the space-time incidence mapping of the hand, foot and mouth disease (HFMD) in Shandong province (China) during the period May 1st, 2008 to March 19th, 2009. The results showed that the BME-Kalman approach exhibited very good regressive and predictive accuracies, maintained a very good performance even during low-incidence and extremely low-incidence periods, offered an improved description of hierarchical disease characteristics compared to traditional mapping techniques, and provided a clear explanation of the spatial stratified incidence heterogeneity at unsampled locations. The BME-Kalman approach is versatile and flexible so that it can be modified and adjusted according to the needs of the application.<br>Keywords: Bayesian maximum entropy; Kalman filter; Geostatistics; space-time analysis; hand, foot and mouth disease<br>
DOI: 10.6084/m9.figshare.11972940.v1
title: Evaluation of g(s) from Self-sustaining critical layer/shear layer interaction in annular Poiseuille–Couette flow at high Reynolds number

description: This evaluates the function g(s) defined in section 3(e) (filename: gevaluation.nb)
DOI: 10.6084/m9.figshare.11972943.v1
title: Rayleigh Solver Negative V from Self-sustaining critical layer/shear layer interaction in annular Poiseuille–Couette flow at high Reynolds number

description: This solves the Rayleigh equation of Section 3 for negative sliding velocities (filename: APCFRayleighVn.nb)
DOI: 10.6084/m9.figshare.11972829
title: Hybrid triad provides fracture plane stability in a computational model of a Pauwels Type III hip fracture

description: The study utilized finite element method to determine displacements and stresses in a set of Pauwels Type III femoral neck fractures repaired using 3 techniques (cannulated screws (Triad), sliding hip screw (SHS), and a Hybrid (SHS + cannulated screws). The research found that shear displacement doubled between the 65° and 75° fracture angles regardless of fixation construct. The SHS alone was the least stable construct, with highest construct stresses and shear displacement along the fracture plane. The stability of the Hybrid and Triad constructs were similar, but stress in the Hybrid was lower suggesting it would provide a higher load to failure than the Triad.
DOI: 10.6084/m9.figshare.11972829.v1
title: Hybrid triad provides fracture plane stability in a computational model of a Pauwels Type III hip fracture

description: The study utilized finite element method to determine displacements and stresses in a set of Pauwels Type III femoral neck fractures repaired using 3 techniques (cannulated screws (Triad), sliding hip screw (SHS), and a Hybrid (SHS + cannulated screws). The research found that shear displacement doubled between the 65° and 75° fracture angles regardless of fixation construct. The SHS alone was the least stable construct, with highest construct stresses and shear displacement along the fracture plane. The stability of the Hybrid and Triad constructs were similar, but stress in the Hybrid was lower suggesting it would provide a higher load to failure than the Triad.
DOI: 10.6084/m9.figshare.11972937.v1
title: KalmanFilterDEMO_IJGIS

description: The data used in the paper submitted to IJGIS<br>
DOI: 10.6084/m9.figshare.11972937.v2
title: KalmanFilterDEMO_IJGIS

description: The data used in the paper submitted to IJGIS<br>
DOI: 10.6084/m9.figshare.11972937.v3
title: KalmanFilterDEMO_IJGIS

description: The data and codes used in the paper published IJGIS.<br>Title: Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach<br>Authors: Bisong Hu<sup>a,b</sup>, Pan Ning<sup>a</sup>, Yi Li<sup>c</sup>, Chengdong Xu<sup>b</sup>, George Christakos<sup>d</sup> and Jinfeng Wang<sup>b*</sup> <sup>a</sup>School of Geography and Environment, Jiangxi Normal University, Nanchang, China; <sup>b</sup>State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; <sup>c</sup>National Engineering Research Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;<sup> d</sup>Geography Department, San Diego State University, San Diego, USAContact: Jinfeng Wang, wangjf@lreis.ac.cn<br>Abstract: In this work, a synthesis of the Bayesian maximum entropy (BME) and the Kalman filter (KF) methods, which enhances their individual strengths and overcomes certain of their weaknesses for spatiotemporal mapping purposes, is proposed in a spatiotemporal disease mapping context. The proposed BME-Kalman synthesis allows BME to use information from both parametric regression modeling and KF estimation leading to enhanced knowledge bases. The BME-Kalman synthetic approach is used to study the space-time incidence mapping of the hand, foot and mouth disease (HFMD) in Shandong province (China) during the period May 1st, 2008 to March 19th, 2009. The results showed that the BME-Kalman approach exhibited very good regressive and predictive accuracies, maintained a very good performance even during low-incidence and extremely low-incidence periods, offered an improved description of hierarchical disease characteristics compared to traditional mapping techniques, and provided a clear explanation of the spatial stratified incidence heterogeneity at unsampled locations. The BME-Kalman approach is versatile and flexible so that it can be modified and adjusted according to the needs of the application.<br>Keywords: Bayesian maximum entropy; Kalman filter; Geostatistics; space-time analysis; hand, foot and mouth disease<br>
DOI: 10.6084/m9.figshare.11972775
title: Additional file 6 of Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

description: Additional file 6: Table S7. Descriptive statistics of seven dairy traits recorded in the first lactation of 822 Murciano-Granadina goats.
DOI: 10.6084/m9.figshare.11972775.v1
title: Additional file 6 of Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

description: Additional file 6: Table S7. Descriptive statistics of seven dairy traits recorded in the first lactation of 822 Murciano-Granadina goats.
DOI: 10.6084/m9.figshare.11972766
title: Additional file 5 of Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

description: Additional file 5: Table S5-S6. Pathways and gene ontology (GO) terms enriched in the set of 1,654 differentially expressed genes on the basis of human and goat background gene sets.
DOI: 10.6084/m9.figshare.11972766.v1
title: Additional file 5 of Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

description: Additional file 5: Table S5-S6. Pathways and gene ontology (GO) terms enriched in the set of 1,654 differentially expressed genes on the basis of human and goat background gene sets.
DOI: 10.6084/m9.figshare.11972745
title: Additional file 3 of Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

description: Additional file 3: Tables S2-S4. List of differentially expressed genes between the T1 and T2, T1 and T3, and T2 and T3 time points.
DOI: 10.6084/m9.figshare.11972745.v1
title: Additional file 3 of Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats

description: Additional file 3: Tables S2-S4. List of differentially expressed genes between the T1 and T2, T1 and T3, and T2 and T3 time points.
DOI: 10.6084/m9.figshare.11972673
title: Additional file 1 of Immunological risk stratification and tailored minimisation of immunosuppression in renal transplant recipients

description: Additional file 1.
DOI: 10.6084/m9.figshare.11972673.v1
title: Additional file 1 of Immunological risk stratification and tailored minimisation of immunosuppression in renal transplant recipients

description: Additional file 1.
DOI: 10.6084/m9.figshare.11972652
title: Additional file 1 of The impact of anti-tobacco legislation on birth weight in Peru

description: Additional file 1. Supporting Information.
DOI: 10.6084/m9.figshare.11972652.v1
title: Additional file 1 of The impact of anti-tobacco legislation on birth weight in Peru

description: Additional file 1. Supporting Information.
DOI: 10.6084/m9.figshare.11972637
title: Additional file 9 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 9: Table S8. Differential chromatin accessibility MACS-peaks (300 bp fragment size) identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972637.v1
title: Additional file 9 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 9: Table S8. Differential chromatin accessibility MACS-peaks (300 bp fragment size) identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972631
title: Additional file 8 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 8: Table S7. Differential H3K9me3 MACS-peaks identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972631.v1
title: Additional file 8 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 8: Table S7. Differential H3K9me3 MACS-peaks identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972628
title: Additional file 7 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 7: Table S6. Differential H3K9me2 MACS-peaks (300 bp fragment size) identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972625
title: Additional file 6 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 6: Table S5. Differential H3K9me3 MACS-peaks identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972628.v1
title: Additional file 7 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 7: Table S6. Differential H3K9me2 MACS-peaks (300 bp fragment size) identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972625.v1
title: Additional file 6 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 6: Table S5. Differential H3K9me3 MACS-peaks identified with the EdgeR test (cut-off FDR
DOI: 10.6084/m9.figshare.11972616
title: Additional file 5 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 5: Table S4. Genes identified with the DESeq2 test (cut-off FDR
DOI: 10.6084/m9.figshare.11972610
title: Additional file 4 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 4: Table S3. Differentially expressed genes on Smarcad1-KO in whole colon crypts and flow cytometry-sorted colon epithelium. Gene lists and their overlaps as shown in Additional file 1: Fig. S2b. Table contents: Gene name, chromosomal position, DESeq2 FDR, gene ID, gene description, average/by sample expression levels (n = 3, log2 normalized to total reads) in the corresponding RNA-seq dataset. Separate Tab comparing the 2 lists (crypts, sorted epithelial cells).
DOI: 10.6084/m9.figshare.11972616.v1
title: Additional file 5 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 5: Table S4. Genes identified with the DESeq2 test (cut-off FDR
DOI: 10.6084/m9.figshare.11972604
title: Additional file 3 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 3: Table S2. Differentially expressed genes on Smarcad1-KO in ISC, TA, AE and small intestine derived organoids. Gene lists and their overlaps as shown in Additional file 1: Fig. S2a. Table contents: Gene name, chromosomal position, DESeq2 FDR, gene ID, gene description, average expression levels (n = 3, log2 normalized to total reads) in the corresponding RNA-seq dataset. Separate tab comparing the 4 lists (ISC, TA, AE, organoids). Separate tabs listing all genes expressed in small intestinal organoids and colon crypts (sorted cell and whole crypt datasets combined).
DOI: 10.6084/m9.figshare.11972610.v1
title: Additional file 4 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 4: Table S3. Differentially expressed genes on Smarcad1-KO in whole colon crypts and flow cytometry-sorted colon epithelium. Gene lists and their overlaps as shown in Additional file 1: Fig. S2b. Table contents: Gene name, chromosomal position, DESeq2 FDR, gene ID, gene description, average/by sample expression levels (n = 3, log2 normalized to total reads) in the corresponding RNA-seq dataset. Separate Tab comparing the 2 lists (crypts, sorted epithelial cells).
DOI: 10.6084/m9.figshare.11972598
title: Additional file 2 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 2: Table S1. Full statistical analysis data and annotation for the Fig. 3d, 4c, 5b, 6a,b,d, 7a and Additional file 1: Figures S1b-d, S3b,d-f, S4b,c, S6c-f.
DOI: 10.6084/m9.figshare.11972598.v1
title: Additional file 2 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 2: Table S1. Full statistical analysis data and annotation for the Fig. 3d, 4c, 5b, 6a,b,d, 7a and Additional file 1: Figures S1b-d, S3b,d-f, S4b,c, S6c-f.
DOI: 10.6084/m9.figshare.11972604.v1
title: Additional file 3 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 3: Table S2. Differentially expressed genes on Smarcad1-KO in ISC, TA, AE and small intestine derived organoids. Gene lists and their overlaps as shown in Additional file 1: Fig. S2a. Table contents: Gene name, chromosomal position, DESeq2 FDR, gene ID, gene description, average expression levels (n = 3, log2 normalized to total reads) in the corresponding RNA-seq dataset. Separate tab comparing the 4 lists (ISC, TA, AE, organoids). Separate tabs listing all genes expressed in small intestinal organoids and colon crypts (sorted cell and whole crypt datasets combined).
DOI: 10.6084/m9.figshare.11972571
title: Additional file 24 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 24: Table S23. EdU assay example files and Excel-script for calculation of EdU-signal to crypt base distance.
DOI: 10.6084/m9.figshare.11972571.v1
title: Additional file 24 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 24: Table S23. EdU assay example files and Excel-script for calculation of EdU-signal to crypt base distance.
DOI: 10.6084/m9.figshare.11972562
title: Additional file 23 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 23: Table S22. All detected OTUs annotated with counts per sample. Sublists marked in Additional file 1: Fig. S8b are marked as follows: red: OTUs not transferred from donor to recipients. Green: Candidate OTUs for enhanced colitis response and Smarcad1-mediated susceptibility. Table contents: OTU ID, detection counts per sample, digital indicators of presence in initial, donor and enriched microbiota, indicators of transferred (green) and un-transferred (red) OTUs, taxonomic information.
DOI: 10.6084/m9.figshare.11972562.v1
title: Additional file 23 of Smarcad1 mediates microbiota-induced inflammation in mouse and coordinates gene expression in the intestinal epithelium

description: Additional file 23: Table S22. All detected OTUs annotated with counts per sample. Sublists marked in Additional file 1: Fig. S8b are marked as follows: red: OTUs not transferred from donor to recipients. Green: Candidate OTUs for enhanced colitis response and Smarcad1-mediated susceptibility. Table contents: OTU ID, detection counts per sample, digital indicators of presence in initial, donor and enriched microbiota, indicators of transferred (green) and un-transferred (red) OTUs, taxonomic information.