cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13627390
title: Additional file 9 of Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills

description: Additional file 9. Brain-behaviour correlations. README file detailing data curation; AAL-90 region masks in NIfTI format; spreadseehts of Spearman correlations; code and data for the correlational analysis.
DOI: 10.6084/m9.figshare.13627390.v1
title: Additional file 9 of Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills

description: Additional file 9. Brain-behaviour correlations. README file detailing data curation; AAL-90 region masks in NIfTI format; spreadseehts of Spearman correlations; code and data for the correlational analysis.
DOI: 10.6084/m9.figshare.13627384.v1
title: Additional file 7 of Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills

description: Additional file 7. Nuisance regressors. Nuisance regressor time series for each subject, as floating-point values in ASCII text format.
DOI: 10.6084/m9.figshare.13627396.v1
title: Additional file 2 of Monoassociation with bacterial isolates reveals the role of colonization, community complexity and abundance on locomotor behavior in larval zebrafish

description: Additional file 2: Data files and R script used to generate figures and conduct statistical analyses.
DOI: 10.6084/m9.figshare.13627372
title: Additional file 3 of Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills

description: Additional file 3. Structural images 8-14. Anonymised T1 structural images for subjects 8 to 14, in gzipped NIfTI format.
DOI: 10.6084/m9.figshare.13627406
title: Additional file 10 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 10: Table S9. Oligonucleotide and primer sequences.
DOI: 10.6084/m9.figshare.13627378.v1
title: Additional file 5 of Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills

description: Additional file 5. Structural images 22-27. Anonymised T1 structural images for subjects 22 to 27, in gzipped NIfTI format.
DOI: 10.6084/m9.figshare.13627415
title: Additional file 2 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 2: Table S1. Median number of sgRNAs per gene and library size of currently available human genome-wide CRISPR-Cas9 libraries.
DOI: 10.6084/m9.figshare.13627415.v1
title: Additional file 2 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 2: Table S1. Median number of sgRNAs per gene and library size of currently available human genome-wide CRISPR-Cas9 libraries.
DOI: 10.6084/m9.figshare.13627424.v1
title: Additional file 5 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 5: Table S4. KS scores estimated for sgRNAs of Project Score and Avana libraries.
DOI: 10.6084/m9.figshare.13627427
title: Additional file 6 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 6: Table S5. Raw counts of the CRISPR-Cas9 screens at different guide coverage performed in KM-12 cancer cell line.
DOI: 10.6084/m9.figshare.13627430
title: Additional file 7 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 7: Table S6. sgRNA counts of the CRISPR-Cas9 screens followed by drug treatment with dabrafenib in HT-29 cells.
DOI: 10.6084/m9.figshare.13627418
title: Additional file 3 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 3: Table S2. Reference CRISPR-Cas9 library containing sgRNAs originating from multiple libraries with standardised genomic annotation and guide efficiency metrics.
DOI: 10.6084/m9.figshare.13627436.v1
title: Additional file 9 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 9: Table S8. MinLibCas9 raw counts for three technical replicates of HT-29.
DOI: 10.6084/m9.figshare.13627418.v1
title: Additional file 3 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 3: Table S2. Reference CRISPR-Cas9 library containing sgRNAs originating from multiple libraries with standardised genomic annotation and guide efficiency metrics.
DOI: 10.6084/m9.figshare.13627427.v1
title: Additional file 6 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 6: Table S5. Raw counts of the CRISPR-Cas9 screens at different guide coverage performed in KM-12 cancer cell line.
DOI: 10.6084/m9.figshare.13627387.v1
title: Additional file 8 of Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills

description: Additional file 8. Connectivity matrices. Connection matrices and functional correlation matrices for each subject, as floating-point values in ASCII text format, and MATLAB code for producing these.
DOI: 10.6084/m9.figshare.13627424
title: Additional file 5 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 5: Table S4. KS scores estimated for sgRNAs of Project Score and Avana libraries.
DOI: 10.6084/m9.figshare.13627433.v1
title: Additional file 8 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 8: Table S7. CRISPR-Cas9 raw counts for three different organoids derived from cancer samples.
DOI: 10.6084/m9.figshare.13627436
title: Additional file 9 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 9: Table S8. MinLibCas9 raw counts for three technical replicates of HT-29.
DOI: 10.6084/m9.figshare.13627421
title: Additional file 4 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 4: Table S3. Genome-wide minimal human CRISPR-Cas9 library, MinlibCas9.
DOI: 10.6084/m9.figshare.13627430.v1
title: Additional file 7 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 7: Table S6. sgRNA counts of the CRISPR-Cas9 screens followed by drug treatment with dabrafenib in HT-29 cells.
DOI: 10.6084/m9.figshare.13627396
title: Additional file 2 of Monoassociation with bacterial isolates reveals the role of colonization, community complexity and abundance on locomotor behavior in larval zebrafish

description: Additional file 2: Data files and R script used to generate figures and conduct statistical analyses.
DOI: 10.6084/m9.figshare.13627433
title: Additional file 8 of Minimal genome-wide human CRISPR-Cas9 library

description: Additional file 8: Table S7. CRISPR-Cas9 raw counts for three different organoids derived from cancer samples.
DOI: 10.6084/m9.figshare.13627448
title: Additional file 1 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 1: Enriched binding sites for TBX2 and TBX4 determined by ChIP-seq analysis in IMR-90 cells.
DOI: 10.6084/m9.figshare.13627448.v1
title: Additional file 1 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 1: Enriched binding sites for TBX2 and TBX4 determined by ChIP-seq analysis in IMR-90 cells.
DOI: 10.6084/m9.figshare.13627454.v1
title: Additional file 3 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 3: The list of known motifs enriched within TBX2 and TBX4 100 nt peak summits. Analysis was performed using AME tool. Only motifs with enrichment E-values no greater than 10 was reported (the E-value is the motif p-value multiplied by the number motifs in the input).
DOI: 10.6084/m9.figshare.13627454
title: Additional file 3 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 3: The list of known motifs enriched within TBX2 and TBX4 100 nt peak summits. Analysis was performed using AME tool. Only motifs with enrichment E-values no greater than 10 was reported (the E-value is the motif p-value multiplied by the number motifs in the input).
DOI: 10.6084/m9.figshare.13627457
title: Additional file 4 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 4: Gene ontology (GO) analysis of the neighboring genes associated with the ChIP-seq peaks for TBX2 and TBX4. Analysis was performed for GO biological process and GO molecular function terms using PANTHER tool. The GO terms with a corrected p-value
DOI: 10.6084/m9.figshare.13627460.v1
title: Additional file 5 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 5: Overrepresented molecular pathways associated with genes located near TBX2 and TBX4 binding sites. Analyses were performed using ConsensusPathDB tool. Only pathways with p-value ≤ 0.05 and sharing at least two genes with the ChIP-seq gene sets were analyzed.
DOI: 10.6084/m9.figshare.13627457.v1
title: Additional file 4 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 4: Gene ontology (GO) analysis of the neighboring genes associated with the ChIP-seq peaks for TBX2 and TBX4. Analysis was performed for GO biological process and GO molecular function terms using PANTHER tool. The GO terms with a corrected p-value
DOI: 10.6084/m9.figshare.13627460
title: Additional file 5 of Potential interactions between the TBX4-FGF10 and SHH-FOXF1 signaling during human lung development revealed using ChIP-seq

description: Additional file 5: Overrepresented molecular pathways associated with genes located near TBX2 and TBX4 binding sites. Analyses were performed using ConsensusPathDB tool. Only pathways with p-value ≤ 0.05 and sharing at least two genes with the ChIP-seq gene sets were analyzed.
DOI: 10.6084/m9.figshare.13627481.v1
title: Additional file 2 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 2: Table S2. Full dataset for organic carbon and nitrogen analysis, with detailed descriptions of the MAR calculation.
DOI: 10.6084/m9.figshare.13627481
title: Additional file 2 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 2: Table S2. Full dataset for organic carbon and nitrogen analysis, with detailed descriptions of the MAR calculation.
DOI: 10.6084/m9.figshare.13627478.v1
title: Additional file 1 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 1: Table S1. Full dataset for XRF analysis by TATSCAN-F2 and Magix PRO, with detailed descriptions of the MAR calculation.
DOI: 10.6084/m9.figshare.13627484.v1
title: Additional file 3 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 3: Table S3. Full dataset for the analysis of dry bulk density.
DOI: 10.6084/m9.figshare.13627484
title: Additional file 3 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 3: Table S3. Full dataset for the analysis of dry bulk density.
DOI: 10.6084/m9.figshare.13627487
title: Additional file 4 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 4: Table S4. Full dataset for trace-fossil analysis.
DOI: 10.6084/m9.figshare.13627487.v1
title: Additional file 4 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 4: Table S4. Full dataset for trace-fossil analysis.
DOI: 10.6084/m9.figshare.13627478
title: Additional file 1 of Multiproxy sedimentological and geochemical analyses across the Lower–Middle Pleistocene boundary: chemostratigraphy and paleoenvironment of the Chiba composite section, central Japan

description: Additional file 1: Table S1. Full dataset for XRF analysis by TATSCAN-F2 and Magix PRO, with detailed descriptions of the MAR calculation.
DOI: 10.6084/m9.figshare.13627510
title: Additional file 1 of An across-breed validation study of 46 genetic markers in canine hip dysplasia

description: Additional file 1. List of markers used in the validation study. 52 selected markers with their position in CanFam3.1 are listed. From the original publications the following details are presented: marker ID, associated phenotype, raw and corrected P value, and the cohort size and represented breeds. Regarding the current study, the breeds for which the QC failed are indicated as well as the ssID’s for the markers that passed the QC.
DOI: 10.6084/m9.figshare.13627513
title: Additional file 2 of An across-breed validation study of 46 genetic markers in canine hip dysplasia

description: Additional file 2. Reference, alternative, major and minor alleles, and genotype frequencies for the 23 validated SNPs in the across-breed and within-breed studies.
DOI: 10.6084/m9.figshare.13627519
title: Additional file 4 of An across-breed validation study of 46 genetic markers in canine hip dysplasia

description: Additional file 4. Candidate gene sets for the STRING (V11.0) pathway analysis. Two lists are provided: set of candidate genes from the across-breed association analysis (N = 41), and a set of candidate genes from the within-breed association analyses (N = 261). Total number of unique genes in the analyses is 272. Each of the listed genes are located maximum ±1 Mb from a SNP that demonstrated significant association to CHD in one of the analyses.
DOI: 10.6084/m9.figshare.13627519.v1
title: Additional file 4 of An across-breed validation study of 46 genetic markers in canine hip dysplasia

description: Additional file 4. Candidate gene sets for the STRING (V11.0) pathway analysis. Two lists are provided: set of candidate genes from the across-breed association analysis (N = 41), and a set of candidate genes from the within-breed association analyses (N = 261). Total number of unique genes in the analyses is 272. Each of the listed genes are located maximum ±1 Mb from a SNP that demonstrated significant association to CHD in one of the analyses.
DOI: 10.6084/m9.figshare.13627513.v1
title: Additional file 2 of An across-breed validation study of 46 genetic markers in canine hip dysplasia

description: Additional file 2. Reference, alternative, major and minor alleles, and genotype frequencies for the 23 validated SNPs in the across-breed and within-breed studies.
DOI: 10.6084/m9.figshare.13627571
title: Ribosomal protein database of Carnobacterium maltaromaticum LMA 28

description: This work presents the ribosomal protein database of <i>Carnobacterium maltaromaticum </i>LMA 28. 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.13627571.v1
title: Ribosomal protein database of Carnobacterium maltaromaticum LMA 28

description: This work presents the ribosomal protein database of <i>Carnobacterium maltaromaticum </i>LMA 28. 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: 10.25919/02gc-er88
title: Parkes observations for project P1050 semester 2020OCTS_07

description: This is a request for observing time for the timing campaign of new pulsar discoveries and follow-up of expected new potential pulsars from the re-processing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed the first pass re-processing of the 62 % of the survey with GPU based coherent acceleration search and template bank search pipelines, and have discovered 51 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This timing project is necessary for following up on any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here have been confirmed in the current 2020APRS semester, the follow-up timing will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space in the galactic plane.
DOI: 10.6084/m9.figshare.13221999.v1
title: Stochastic gradient Markov chain Monte Carlo

description: Markov chain Monte Carlo (MCMC) algorithms are generally regarded as the gold standard technique for Bayesian inference. They are theoretically well-understood and conceptually simple to apply in practice. The drawback of MCMC is that performing exact inference generally requires all of the data to be processed at each iteration of the algorithm. For large data sets, the computational cost of MCMC can be prohibitive, which has led to recent developments in scalable Monte Carlo algorithms that have a significantly lower computational cost than standard MCMC. In this paper, we focus on a particular class of scalable Monte Carlo algorithms, stochastic gradient Markov chain Monte Carlo (SGMCMC) which utilises data subsampling techniques to reduce the per-iteration cost of MCMC. We provide an introduction to some popular SGMCMC algorithms and review the supporting theoretical results, as well as comparing the efficiency of SGMCMC algorithms against MCMC on benchmark examples. The supporting R code is available online<sup>1</sup>.
DOI: 10.6084/m9.figshare.13627799
title: Schwarzites.arc from Schwarzite nets: a wealth of 3-valent examples sharing similar topologies and symmetries

description: Systre keys for all of the presented structures in archive format
DOI: 10.6084/m9.figshare.13627799.v1
title: Schwarzites.arc from Schwarzite nets: a wealth of 3-valent examples sharing similar topologies and symmetries

description: Systre keys for all of the presented structures in archive format
DOI: 10.6084/m9.figshare.13627820
title: Trigered sub-critical fracturing;Fracturing of sof and flexible material; Fracturing of strong and flexible material; Super-fiber resistance to breaking; DEM and Fiber Bundle model similarity from Earthquake physics beyond the linear fracture mechanics: a discrete approach

description: An example of a sub-critical fracture development trigered by an acoustic wave.; An example of a DEM simulation of fracturing of a soft and flexible material under the tensional load.; A DEM simulation of fracturing of a strong and flexible material under the tensional load; The DEM simulation showing how a single “super-fiber” resistance to breaking apart a sample is built.; The perpendicular to tensional load view of temporal evolution (breaking) of inter-particle bonds (black dots) in the middle of the sample height. A similarity to classical Fiber Bundle predictions is apparent.
DOI: 10.6084/m9.figshare.13627820.v1
title: Trigered sub-critical fracturing;Fracturing of sof and flexible material; Fracturing of strong and flexible material; Super-fiber resistance to breaking; DEM and Fiber Bundle model similarity from Earthquake physics beyond the linear fracture mechanics: a discrete approach

description: An example of a sub-critical fracture development trigered by an acoustic wave.; An example of a DEM simulation of fracturing of a soft and flexible material under the tensional load.; A DEM simulation of fracturing of a strong and flexible material under the tensional load; The DEM simulation showing how a single “super-fiber” resistance to breaking apart a sample is built.; The perpendicular to tensional load view of temporal evolution (breaking) of inter-particle bonds (black dots) in the middle of the sample height. A similarity to classical Fiber Bundle predictions is apparent.
DOI: 10.6084/m9.figshare.12844423.v2
title: Specialist Care in Rural Hospitals: From Emergency Department Consultation to Hospital Discharge

description: In urban and rural hospitals, congested Emergency Departments (EDs) are filled with patients boarding in the ED awaiting admission to inpatient wards. We study this problem beyond the walls of the ED, examining the multi-departmental process managed by specialists. In rural hospitals, an Internal Medicine Specialist (Internist) commonly serves simultaneously as both the Intensive Care Unit (ICU) physician and Internist on call. We develop a stochastic dynamic programming framework for specialists’ workflow decisions and apply it to data sets developed from two rural hospitals. One uses the dual role approach and the other, similar to urban hospitals, staffs the ICU with another physician, each with a single role. Our empirical results show that, excluding an overnight batch, arrivals of ED consultation requests for rural specialists follow a homogeneous Poisson process. Our models help identify better policies and determine how much better off a hospital is with two rather than one Internist on call. Although current guidelines suggest an early inpatient discharge strategy, we find that specialists should give higher priority to ED consultations unless a threshold number of patients are boarding in the ED or until a threshold time of day when specialists should give higher priority to inpatient discharges.