cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17863/cam.10363
title: Oscillation of Flexible Tubes - High Speed Video of Onset

description: These experiments provide a detailed record of the oscillation of flexible rubber tubes as air flows through them. The tubes are mounted in an experimental rig illustrated in the text file "Oscillation of Flexible Tubes - High Speed Video of Onset.txt" The suction is gradually increased until the flexible tube just starts to oscillate, at which point high speed video is recorded of the tube from 2 cameras, and pressure recordings are made up and downstream of the tube. The pressure recordings and cameras are all triggered at the same time for simultaneous results. The average flow rate is also recorded from a rotameter at the inflow. Pressures are measured relative to the external atmospheric pressure. The flexible tubes are held in place under a prescribed axial strain. For each experimental run we have pressure traces and high speed video, the formats of which are given in "Oscillation of Flexible Tubes - High Speed Video of Onset.txt". Numerical data is stored in a csv file called "runX_numericdata.csv" containing 11 rows. The first column of the csv file contains the labels of the data, and the remaining columns contain the data itself. The order of the rows is as shown in the above table. The video and image files are named "runX_video1.avi", "runX_video2.avi", "runX_unstrainedtube_camera1.tiff", "runX_unstrainedtube_camera2.tiff", "runX_calimageY_camera1.tiff", and "runX_calimageY_camera2.tiff", where X is the run number, and Y is the calibration image number. These imaging files are compressed into a zip file called "runX_videodata.zip". Hence for each run there are 2 files: runX_numericdata.csv runX_videodata.zip which contain all of the experimental data. In addition there is a summary csv file called "run_summary.csv" which replicates some of the data already stored in the individual run files, but in a more accessible format. The data for these experiments was collected in April 2016 in the Acoustics Laboratory in Cambridge University Engineering Department (http://acoustics.eng.cam.ac.uk).
DOI: 10.6084/m9.figshare.c.3646277_d2.v1
title: Additional file 1: of Effects of receptor for advanced glycation endproducts on microvessel formation in endometrial cancer

description: Clinical characteristics for endometrial cancer patients. (XLS 32 kb)
DOI: 10.6084/m9.figshare.c.3646265_d10.v1
title: Additional file 11: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: Average AUC values for simulation data with various options. Average AUC values of 100 trials are shown. The suggested (or default) options and the highest AUC values are in bold. Sheet 1: E-E (edgeR), Sheet 2: D-D (DESeq), Sheet 3: S-S (DESeq2). (XLSX 12 kb)
DOI: 10.6084/m9.figshare.c.3646265_d9.v1
title: Additional file 4: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: R code for obtaining simulation results without replicates (Table  3 ). After execution of this R-code with default parameter settings, the average AUC values of 100 trials under the following conditions shown in Table 3 can be obtained: PDEG = 25 %, (0.5, 0.4, 0.1) for (PG1, PG2, PG3), and Nrep = 1. (R 8 kb)
DOI: 10.6084/m9.figshare.c.3646265_d7.v1
title: Additional file 8: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: Comparison of DEGs obtained from individual pipelines for the Blekhman’s count data. Sheet 1: Numbers of DEGs satisfying the 5 % FDR threshold and the overlaps between all pairs of pipelines are shown. The presentation method is the same as in table 1 in [28]: the numbers on the diagonal are highlighted in bold. Sheet 2: The corresponding Jaccard coefficients are shown. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.c.3646265_d6.v1
title: Additional file 2: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: Results for simulation data with replicates (mainly Nrep = 6 and 9). Average AUC values (%) of 100 trials are shown for a total of 12 pipelines for three-group simulation data, where each group has six (Nrep = 6; Sheet 1) and nine (Nrep = 9; Sheet 2) BRs. Sheet 3: Average partial AUC values (%) of 20 trials with (1 - specificity)
DOI: 10.6084/m9.figshare.c.3646265_d4.v1
title: Additional file 1: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: R code for obtaining simulation results with replicates (Table  1 ). After execution of this R-code with default parameter settings, the average AUC values of 100 trials under the following conditions shown in Table 1 can be obtained: PDEG = 5 %, (0.5, 0.4, 0.1) for (PG1, PG2, PG3), and Nrep = 3. The results in Additional file 2 can also be obtained by changing the parameter Nrep to be 6 or 9. (R 12 kb)
DOI: 10.6084/m9.figshare.c.3646265_d5.v1
title: Additional file 3: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: R code for obtaining simulation results with replicates (Table  2 ). After execution of this R-code with default parameter settings, the average AUC values of 100 trials under the following conditions shown in Table 2 can be obtained: PDEG = 5 %, (0.5, 0.4, 0.1) for (PG1, PG2, PG3), and Nrep = 3. (R 4 kb)
DOI: 10.6084/m9.figshare.c.3646265_d2.v1
title: Additional file 5: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: R code for obtaining results of Blekhmanâ  s count data. After execution of this R-code, full results of real data analysis can be obtained. (R 21 kb)
DOI: 10.6084/m9.figshare.c.3646265_d1.v1
title: Additional file 9: of Evaluation of methods for differential expression analysis on multi-group RNA-seq count data

description: Classification of expression patterns for DEGs (based on EBSeq). EBSeq defines a total of five possible patterns (Patterns 1 ~ 5). DEGs (satisfying 5 % FDR threshold) identified by individual pipelines were assigned to one of the five possible patterns. (XLSX 11 kb)
DOI: 10.34740/kaggle/dsv/10225920
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.6084/m9.figshare.c.3646256_d2.v1
title: Additional file 1: Table S1. of Identification of a stable major-effect QTL (Parth 2.1) controlling parthenocarpy in cucumber and associated candidate gene analysis via whole genome re-sequencing

description: Analysis of variances (ANOVA) for parthenocarpy in F2:3 from two-season experiments Table S2. Information of SSR and InDel markers mapped on the EC1 × 8419 s-1 F2 genetic map and high-resolution map. Table S3. Statistics of genetic map constructed in this study. Table S4. Information of 21 inbred lines of cucumber. Table S5. Information of total reads, re-sequencing data quality and sequence variations of EC1 and 8419 s-1. Table S6. List of 57 candidate genes within the main-effect QTL Parth2.1 region. Table S7. Annotations and fold values of DEG within Parth2.1 and primers used for qRT-PCR. (XLS 269 kb)
DOI: 10.6084/m9.figshare.c.3646238_d7.v1
title: Additional file 1: Table S1. of Evidence for L1-associated DNA rearrangements and negligible L1 retrotransposition in glioblastoma multiforme

description: RC-seq output summary. Table S2. Polymorphic and somatic L1 mutations called by TEBreak. Table S3. List of somatic L1 mutations and PCR validation information. Table S4. GBM cell line transfection efficiencies. Table S5. Summary of point mutations and CNVs detected from WGS (XLSX 335 kb)
DOI: 10.17863/cam.78484
title: Data for 'Fast CO2 hydration kinetics impair heterogeneous but improve enzymatic CO2 reduction catalysis'

description: Main - contains all Electrochemical, Finite Element Modelling outputs, SEM, QCM, product quantification and image data related to main text sorted by respective figure. Extended Data - contains all QCM, SEM, Solution assay data, Electrochemical experiments, Finite Element Modelling outputs, SEM, QCM, product quantification and image data related to the extended dataset sorted by respective figure. SI Data - contains all Electrochemical, Finite Element Modelling outputs, product quantification, SEM, DLS and image data related to the Supplementary Information sorted by respective figure. Wilbur Anderson Assay Python Script- contains License file, Readme and script for solution assay simulation
DOI: 10.6084/m9.figshare.c.3637100_d4.v1
title: Additional file 4: Table S3. of PIM-1 contributes to the malignancy of pancreatic cancer and displays diagnostic and prognostic value

description: Correlations of plasma PIM-1 levels and clinicopathological parameters. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.c.3637100_d2.v1
title: Additional file 2: Table S1. of PIM-1 contributes to the malignancy of pancreatic cancer and displays diagnostic and prognostic value

description: Correlations of PIM-1 levels in tissues and clinicopathological parameters. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.c.3637100_d1.v1
title: Additional file 3: Table S2. of PIM-1 contributes to the malignancy of pancreatic cancer and displays diagnostic and prognostic value

description: Univariate and multivariable analyses of factors predictive of poor overall survival in patients with pancreatic cancer (tissues). (XLSX 12 kb)
DOI: 10.5281/zenodo.14175360
title: Data for spectrograms and time series

description: This dataset contains several NetCDF4 (.nc) files for spectrograms, spectra, and time series observed by distributed acoustic sensing with the Muroto cable and absolute pressure gauge at M.KMD14 of DONET.
DOI: 10.6084/m9.figshare.c.3636986_d2.v1
title: Additional file 2: of The Arabidopsis phytohormone crosstalk network involves a consecutive metabolic route and circular control units of transcription factors that regulate enzyme-encoding genes

description: XML, XGMML, GML, SIF and NNF format of the identified models in the manuscript. (ZIP 164 kb)
DOI: 10.6084/m9.figshare.c.3636962_d11.v1
title: MOESM10 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 10: Table S8. Details of sRNA candidates associated with the genes involved in basic metabolism, cell envelope biosynthesis, efflux pumps, and ATP synthesis in group Mn-9OHAD/CC.
DOI: 10.6084/m9.figshare.c.3636962_d10.v1
title: MOESM9 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 9: Table S7. Details of sRNA candidates associated with sterol degradation genes in comparable groups Mn-CC/C, Mn-9OHAD/CC, Mn-ADD/CC, and Mn-BNA/CC
DOI: 10.6084/m9.figshare.c.3636962_d9.v1
title: MOESM5 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 5: Table S4. Target genes of sRNA candidates in comparable groups Mn-CC/C, Mn-9OHAD/CC, Mn-ADD/CC, and Mn-BNA/CC.
DOI: 10.6084/m9.figshare.c.3636962_d7.v1
title: MOESM7 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 7: Table S5. Negative analysis results of sRNA candidates and target genes in comparable groups Mn-CC/C, Mn-9OHAD/CC, Mn-ADD/CC, and Mn-BNA/CC.
DOI: 10.6084/m9.figshare.c.3636962_d8.v1
title: MOESM4 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 4: Table S3. All RPKM values of sRNA candidates in strains Mn-C, Mn-CC, Mn-9OHAD, Mn-ADD, and Mn-BNA and the differential expression of sRNA candidates in comparable groups Mn-CC/C, Mn-9OHAD/CC, Mn-ADD/CC, and Mn-BNA/CC.
DOI: 10.6084/m9.figshare.c.3636962_d4.v1
title: MOESM8 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 8: Table S6. COG analysis of target genes of sRNA candidates in comparable groups Mn-CC/C, Mn-9OHAD/CC, Mn-ADD/CC, and Mn-BNA/CC.
DOI: 10.6084/m9.figshare.c.3636962_d5.v1
title: MOESM2 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 2: Table S2. Details of sRNA candidates, including location in chromosome, upstream and downstream genes, sequences, secondary structures, alignment results with known database (Rfam).
DOI: 10.6084/m9.figshare.c.3636962_d1.v1
title: MOESM11 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 11: Table S9. Details of functional characterization of potential target genes of sRNA candidates 131 and 138.
DOI: 10.6084/m9.figshare.c.3636962_d2.v1
title: MOESM1 of RNA-Seq analysis uncovers non-coding small RNA system of Mycobacterium neoaurum in the metabolism of sterols to accumulate steroid intermediates

description: Additional file 1: Table S1. Novel transcripts found in strains Mn-C, Mn-CC, Mn-9OHAD, Mn-ADD, and Mn-BNA.
DOI: 10.6084/m9.figshare.c.3636929_d6.v1
title: Additional file 2: Table S2. of Combination analysis of genome-wide association and transcriptome sequencing of residual feed intake in quality chickens

description: GO mapping for genes within the 50Â bp flanking regions of the significant RFI-related SNPs. (XLS 31Â kb)
DOI: 10.17863/cam.90803
title: LEAFINNOX_Data

description: Data underlying above publication and other Deliverables of LEAFINNOX project. This database contains raw and processed data from the experimental activities undertaken at the University of Cambridge under the EU Clean Sky 2 project LEAFINNOX. In this project, Cambridge developed a new burner for hydrogen and liquid fuels, including Sustainable Aviation Fuels, that has the potential to be further developed for use in an aviation gas turbine. The dataset contains images (from chemiluminesence-monitoring camera), operating conditions (flow rates, pressures etc), emissions (species concentrations and soot composition) and other data that support the publications and further modelling or experimental studies
DOI: 10.6084/m9.figshare.c.3636929_d3.v1
title: Additional file 4: Table S3. of Combination analysis of genome-wide association and transcriptome sequencing of residual feed intake in quality chickens

description: Differentially expressed genes identified in RNA sequencing in divergent RFI individuals. (XLS 37Â kb)
DOI: 10.15468/dl.s34yzm
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulva lactuca L."
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037630-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.17757
title: Research data supporting “Anomalous Diffusion-Assisted Brightness in White Cellulose Nanofibril Membranes”

description: Original or unprocessed data is provided in support of the article “Anomalous Diffusion-Assisted Brightness in White Cellulose Nanofibril Membranes”. The article was accepted for publication in 2018 in the journal "Advanced Materials". Electronic Supporting Information is available from the publisher. The data is structured into folders, each correlating to a specific data type presented in the published article. In the raw data, the transparent membranes are referred to as “N1”, the semi-transparent ones are referred to as “N2” and the white one as “D2”. This prefix is followed by a letter to indicate a specific sample in the series (see folder 1 for more details). Folder 1: Photographs of the samples and recordings of their thicknesses as measured with the profilometer. This folder also includes the original files to produce the schematics in Figure 1a and Figure 4c. Folder 2: this sets of folders concerns the optical measurements performed on the samples. Folder 3: complete set of Scanning Electron Microscope (SEM) images. Folder 4: files used to analyse the speckle patterns. Folder 5: data regarding the characterisation of the cellulose nanofibers. This includes the Atomic Force Microscopy (AFM) raw data and the nitrogen physisorption results.
DOI: 10.17863/cam.70466
title: Research data supporting "Experimental Measurement of the Size of Gaps Required to Compromise Fit of an N95 Respirator"

description: The effectiveness of N95 masks is heavily dependent on the quality of mask fit, with poor fit rendering such masks inadequate to protect the wearer. However, there have been limited efforts to discover the size of the gaps in the seal required to compromise mask performance, with prior studies estimating this size based on in vitro models. In this study, we measure the size of gap necessary to compromise the OSHA protection requirements of N95 masks. The data were generated via quantitative fit testing on two individuals. Quantitative fit testing was performed with a TSI Portacount Pro Respirator Fit Tester model 8038+, capable of assessing masks with less than 99% filtration efficiency. The device measures particles with a minimum size of 0.02 micrometers at a sampling flow rate of 350 cm^3/min.
DOI: 10.17863/cam.72077
title: Research data supporting magnetisation configuration in arrays of permalloy rectangles and its impact on magnetisation reversal

description: Research as a part of grant number RG99980, "Environmental Impact Analysis Methods And Technologies: Development, Environment And Impact Mitigation In The Canete Valley". This dataset includes scripts used in preparation of simulated data using the mumax3 micromagnetic simulation program. We include some results of these simulations at a higher resolution than can be found in the associated publication. We also include the raw SEM image files and their metadata.
DOI: 10.6084/m9.figshare.c.3632516_d2.v1
title: Additional file 3: of RNAi-mediated down-regulation of the expression of OsFAD2-1: effect on lipid accumulation and expression of lipid biosynthetic genes in the rice grain

description: List of unigenes involved in TAG acid biosynthesis and catabolism. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.c.3632516_d1.v1
title: Additional file 2: of RNAi-mediated down-regulation of the expression of OsFAD2-1: effect on lipid accumulation and expression of lipid biosynthetic genes in the rice grain

description: List of unigenes involved in Fatty acid biosynthesis and catabolism. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.c.3632414_d1.v1
title: Additional file 1: of Discovering causal interactions using Bayesian network scoring and information gain

description: Supplement A. (ZIP 1133 kb)
DOI: 10.6084/m9.figshare.c.3632381_d4.v1
title: MOESM4 of The chimeric multi-domain proteins mediating specific DNA transfer for hepatocellular carcinoma treatment

description: Additional file 4: Table S1. The tumor volumes of HCC mice in different treatment groups.
DOI: 10.6084/m9.figshare.c.3632378_d2.v1
title: Additional file 1: Table S1. of Reduced representation bisulphite sequencing of ten bovine somatic tissues reveals DNA methylation patterns and their impacts on gene expression

description: Tissue samples used in the RRBS analysis. Table S2. RRBS validation results. Table S3. Different methylated cytosine information. Table S4. Significantly correlated DMCs and gene information. Table S5. Different methylated CpG island information. Table S6. Significantly correlated DMIs and gene information. Table S7. Tissue-specific different methylated cytosine information. Table S8. Tissue-specific different methylated CpG island information. Table S9. Primers used for validation of RRBS results. (XLS 2962Â kb)
DOI: 10.6084/m9.figshare.28044638.v2
title: Xenium Data for GitHub action

description: Data used for GitHub action for Panpipes
DOI: 10.6084/m9.figshare.c.3632342_d7.v1
title: Additional file 5:  of RNA-seq for gene identification and transcript profiling in relation to root growth of bermudagrass (Cynodon dactylon) under salinity stress

description: Pimers for qRT-PCR analysis. (XLS 31 kb)
DOI: 10.17863/cam.25015
title: Research data supporting "Which Melbourne? Augmenting Geocoding with Maps"

description: Please unzip the files and read the README file for more instructions. Also visit my GitHub account for more information (milangritta)
DOI: 10.6084/m9.figshare.c.3632336_d9.v1
title: Additional file 6: of Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus

description: Detailed information of the consensus map and QTLs collected from the five published populations. (XLSX 178Â kb)
DOI: 10.6084/m9.figshare.c.3632342_d6.v1
title: Additional file 6:  of RNA-seq for gene identification and transcript profiling in relation to root growth of bermudagrass (Cynodon dactylon) under salinity stress

description: Selected differentially expressed transcription factors. (XLS 20 kb)
DOI: 10.15468/dl.thrdjt
title: Occurrence Download

description: A dataset listing the 727 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lampyridae",
 "Year 2000-2024"
 ]
}

 The dataset's 727 records were derived from 1098 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037620-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3628844_d3.v1
title: Additional file 4: of MiR-106b induces cell radioresistance via the PTEN/PI3K/AKT pathways and p21 in colorectal cancer

description: Construction of luciferase reporter vectors.
DOI: 10.6084/m9.figshare.c.3628847_d1.v1
title: Additional file 7: of Emergence of nontoxic mutants as revealed by single filament analysis in bloom-forming cyanobacteria of the genus Planktothrix

description: Occurrence of mutations in individual Planktothrix filaments (Excel spreadsheet). (XLSX 74Â kb)
DOI: 10.6084/m9.figshare.c.3628784_d9.v1
title: Additional file 7: Table S3. of Human induced pluripotent stem cell derived neurons as a model for Williams-Beuren syndrome

description: Table of positively enriched gene sets. (XLSB 188Â kb)
DOI: 10.6084/m9.figshare.c.3628784_d8.v1
title: Additional file 5: Table S1. of Human induced pluripotent stem cell derived neurons as a model for Williams-Beuren syndrome

description: Primers used for quantitative real-time PCR validation of differentially expressed genes. (XLSX 54Â kb)
DOI: 10.6084/m9.figshare.c.3628799_d3.v1
title: Additional file 5: of A de novo silencer causes elimination of MITF-M expression and profound hearing loss in pigs

description: Supporting data. 1 Data of ABR tests (pigs). 2 Data of EP. 3 Data of K+ concentration. 4 Data of Mitf exon fold change. 5 Data of reporter assay. 6 Data of ABR tests (mice). 7 Data of mouse Mitf qPCR (Ct). 8 Data of mouse Mitf qPCR (FC). (XLSX 27 kb)
DOI: 10.6084/m9.figshare.c.3628784_d7.v1
title: Additional file 8: Table S4. of Human induced pluripotent stem cell derived neurons as a model for Williams-Beuren syndrome

description: Detailed tables for the top 20 negatively and positively enriched gene sets, sorted in order of decreasing absolute fold change. (XLS 308Â kb)
DOI: 10.6084/m9.figshare.c.3628784_d5.v1
title: Additional file 6: Table S2. of Human induced pluripotent stem cell derived neurons as a model for Williams-Beuren syndrome

description: Table of negatively enriched gene sets. (XLSB 195Â kb)