cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7855850.v1
title: Han_etal_Data.tsv.gz

description: Table of functional inference for genetic variants in <i>Pan </i>species (chimpanzees and bonobos), from 69 individuals, with gene names, annotation of deleterious alleles, and individual genotypes (0 = homozygous reference, 1 = heterozygous, 2 = homozygous alternative).<br>This study is published in Genome Biology and Evolution: https://doi.org/10.1093/gbe/evz047<br>Genetic variation in Pan species is shaped by demographic history and harbors lineage-specific functions Sojung Han, Aida M Andrés, Tomas Marques-Bonet, Martin Kuhlwilm
DOI: 10.17632/kt2jx4c66r
title: HVD-Based Damage Detection for Prefabricated Composite Wallboard Connectors

description: According to the experimental results, the relative curvature value of HVD marginal spectral entropy can be calculated and the conclusion can be drawn : 
( 1 ) Under the single damage condition, the relative curvature of the HVD marginal spectrum entropy at the damaged connector shows a significant change, and its value reaches the peak level. The research shows that when the position of the damaged connector remains unchanged, with the gradual aggravation of the damage degree, the relative curvature change range of the marginal spectral entropy of the connector is further expanded, thus significantly improving the identifiability of the damage position. 
( 2 ) For multiple damages, the relative curvature value of marginal spectral entropy can determine the location of the damaged connector, but the judgment of the degree of damage is insufficient.
Based on the test results, the entropy difference of HVD power spectral density can be calculated and the following conclusions can be drawn : 
( 1 ) For single damage, the difference of HVD power spectral density entropy at the damaged connector changes obviously, and the value is the maximum. When the location of the damaged connector is the same, with the gradual increase of the degree of damage, the change of the power spectral density entropy difference of the damaged connector is more significant, and the recognition of the damage location is improved. 
( 2 ) For multiple damages, the power spectral density entropy difference can not only determine the location of the damaged connectors, but also distinguish the damage degree of different damaged connectors. 
The analysis based on the relative curvature of the marginal spectral entropy shows that the method can accurately identify the damage location in the single damage condition, and the curvature difference increases significantly with the increase of the damage degree, but it is difficult to distinguish the damage degree difference under the multi-damage condition. In contrast, the power spectral density entropy difference method is not only sensitive to single damage location, but also can effectively distinguish the damage degree of different connectors in multiple damage scenarios, showing higher comprehensive performance.
DOI: 10.6084/m9.figshare.25655457.v3
title: <b>Unraveling the interplay of autophagy genes and KLF3/KLF8 in Colorectal cancer metastasis: A bioinformatics and cellular exploration</b>

description: File #1: The data is whole transcriptomics analysis (RNAseq) of 7 samples of isogenic colorectal cancer cell line HCT116 (parental wild HCT116, HCT116_negatic control, HCT116_Knocked out for ATG5, HCT116_Knocked out for ATG7). The cells were knocked out using Caspase Cas9 (ribonucleoprotein). RNA-seq data were analyzed using the Ion Torrent Software Suite version and the alignment was carried out using the Torrent Mapping Alignment Program (TMAP).File #2: Western Blot for the ATG5 and ATG7 Knocking out experiments
DOI: 10.6084/m9.figshare.14865663.v2
title: Psychological Factors and Consumer Behavior during COVID-19 pandemic

description: Raw data from the research study "Psychological Factors and Consumer Behavior during COVID-19 pandemic"
DOI: 10.6084/m9.figshare.28839599.v1
title: React Js A Moder Web Development Framework

description: React is a well-known open-source front-end JavaScript library created by Facebook. React is wide in style among developer communities attributable to its simplicity and straightforward however effective developing process. It is urging the formation of reusable User Interface parts, which exhibit information that progresses after some time
DOI: 10.17632/mtzjbhrnhy
title: Evaluation of antifungal activity in visible light-activated doped TiO2 nanoparticles data

description: Here you can find files where the network parameters were calculated from Rietveld refinement using the FullProf Suite program. There is a corresponding file for each of the samples.
DOI: 10.6084/m9.figshare.11770713.v1
title: A python script for longitudinally measuring the duration of vacant land uses

description: Populating and depopulating cities have some degree of underutilised land. The duration of vacancy, or length of time a property remains unused, more strongly influences urban decline than the amount of vacant land. Assessment of the duration of vacancy is seldom conducted, due to a lack of linking longitudinal data. This research creates and applies a Python script to track the duration of vacancy in Minneapolis, MN, U.S.A, to create a tool that can be utilised by cities with vacant land inventories. The tool can be used globally to prioritise treatment areas for urban regeneration plans.
DOI: 10.6084/m9.figshare.17870487.v1
title: Additional file 1 of Comparative pangenomics: analysis of 12 microbial pathogen pangenomes reveals conserved global structures of genetic and functional diversity

description: Additional file 1: Figure S1. Phylogenetic tree of selected species and MLST subtype distributions. a) Phylogenetic tree constructed for representative genomes of each species using PATRIC’s Codon Tree service. Genomes are labeled by their name and PATRIC Genome ID. b) Distribution of MLST subtypes for each species’ genome collection. The relative abundance of the top 5 MLST subtypes, all other subtypes, and untyped genomes are shown per species. Figure S2. Evaluation of accuracy of Heaps’ Law at predicting pangenome size, with or without controlling from MLST. a) Example fit of Heaps’ Law to first half of genomes (unbalanced) or MLSTs (MLST balanced) and extrapolation to second half to evaluate pangenome size projection. b-c) Median mean absolute error (MAE) across Heaps’ Law fits for 100 random genome orderings, with or without MLST balancing, for each species in the fitting and extrapolation regions. Dotted lines indicate equal performance between the two methods. Figure S3. Gene frequency distributions by species. Figure S4. Fitted cumulative gene frequency distributions and corresponding core and unique gene frequency thresholds, by species. Observed distributions (solid blue), fitted functions (dashed orange), and the R2 and mean absolute errors (MAE) of the fits are shown. Fitted inflection points (black dot, dashed gray) and frequency thresholds corresponding to core and unique genes (dashed black) are also shown. Figure S5. COG functional group enrichment in the core, accessory, and unique genomes of 12 species. Heatmaps are colored by the log2 odds ratio (LOR) between each COG and the a) core, b) accessory, c) unique genome of each species. COGs are sorted by mean LOR across all species. LOR color scales are symmetric and identical for all plots; four values are outside of the color range: F x E. cloacae (LOR = − 7.5), Q x C. coli (LOR = − 6.0), and K x C. coli (LOR = − 6.9) for accessory genomes; F x E. faecium (LOR = − 5.3) for unique genomes. Starred cells correspond to statistically significant enrichments under Fisher’s Exact test with FWER
DOI: 10.6084/m9.figshare.19573084.v2
title: FP2BERT_embedding

description: Datasets with pre-trained embedding
DOI: 10.6084/m9.figshare.28334135.v2
title: Supplementary Tables

description: Supplementary Tables of the manuscript
DOI: 10.6084/m9.figshare.28926221.v1
title: Causes of poor academic performance

description: Causes of poor academic performance of pupils in rural primary schools
DOI: 10.6084/m9.figshare.3457073
title: Segmentation of tree seedling point clouds into elementary units

description: This article describes a new semi-automatic method to cluster terrestrial laser scanning (TLS) data into meaningful sets of points to extract plant components. The approach is designed for small plants with distinguishable branches and leaves, such as tree seedlings. It first creates a graph by connecting each point to its most relevant neighbours, then embeds the graph into a spectral space, and finally segments the embedding into clusters of points. The process can then be iterated on each cluster separately. The main idea underlying the approach is that the spectral embedding of the graph aligns the points along the shape’s principal directions. A quantitative evaluation of the segmentation accuracy, as well as of leaf area (LA) estimates, is provided on a poplar seedling mock-up. It shows that the segmentation is robust with false-positive and false-negative rates of around 1%. Qualitative results on four contrasting plant species with three different scan resolution levels each are also shown.
DOI: 10.17632/kyvdrwtf68
title: Mechanism of arsenic-induced liver injury in rats revealed by metabolomics and ionomics based approach

description: Arsenic (As) is an environmental toxicant and human carcinogen, long-term exposure to As can lead to varying degrees of liver injury. In this study, the liver injury model of As poisoned Sprague-Dawley (SD) rats was established, and the potential mechanism was investigated by metabonomics and ionomics. A total of 164 differential expressed metabolites (DEMs) were identified between the As poisoned group and the control group, which mainly involved in nicotinate and nicotinamide metabolism, steroid hormone biosynthesis, taurine and hypotaurine metabolism, and porphyrin metabolism. The levels of 10 ions were significantly increased in As poisoned group, including As, bismuth (Bi), cadmium (Cd), mercury (Hg), manganese (Mn), rubidium (Rb), antimony (Sb), strontium (Sr), uranium(U), and zinc (Zn), in contrast, the levels of lead (Pb) and thallium (TI) were significantly decreased. Spearman correlation analysis showed that As, Cd, Hg and Pb were negatively correlated with androstenedione, protoporphyrinogen IX and estriol, whereas As and Mn was positively correlated with progesterone (PROG), Cd was positively correlated with NAD+ and 3-Sulfino-L-alanine. There are sex differences in changes in metabolites and ions levels. Male and female rats shared 60 DEMs and 2 pathways (steroid hormone biosynthesis and porphyrin metabolism pathway). The levels of As, Cd, Hg, and Sr were significantly changed in both male and female rats. In both female and male rats, As was positively correlated with PROG, and Cd was positively correlated with coproporphyrin III. The results of this study provide new insights to elucidate the mechanism of As-induced liver injury in rats.
DOI: 10.6084/m9.figshare.1120501.v1
title: Comparing the effects of nocturnal sleep and daytime napping on declarative memory consolidation

description: Experiment 1: nocturnal sleep
DOI: 10.6084/m9.figshare.17091653.v1
title: A 30-m resolution distribution map of maize for China based on Landsat and Sentinel images

description: 1: maize classification system: 0: non-maize <br> Ruoque Shen, Jie Dong, Wenping Yuan, Wei Han, Tao Ye, Wenzhi Zhao, "A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images", <em>Journal of Remote Sensing</em>, vol. 2022, Article ID 9846712, 12 pages, 2022. https://doi.org/10.34133/2022/9846712
DOI: 10.6084/m9.figshare.3498446.v1
title: HCP-MMP1.0 projected on fsaverage

description: Hi All!<br>Following instructions gathered via twitter and the HCP message board, I've projected the new HCP-MMP1.0 parcellation onto fsaverage. I have attached the annotation files here and detailed my process below:<br>1. Download the correct data from BALSA:https://balsa.wustl.edu/WN56<br>2. Download the correct spheres from the HCP github page:this is detailed here: https://www.mail-archive.com/hcp-users%40humanconnectome.org/msg02890.html<br>3. Using workbench, convert parcellation dabel.nii file label.gii file:<br>wb_command -cifti-separate Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_LEFT Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.label.gii<br>wb_command -cifti-separate Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_RIGHT Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Colors.32k_fs_LR.label.gii<br>4. Using workbench, convert label.gii file to fsaverage space:<br>wb_command -label-resample Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.label.gii L.sphere.32k_fs_LR.surf.gii fs_L-to-fs_LR_fsaverage.L_LR.spherical_std.164k_fs_L.surf.gii BARYCENTRIC left.fsaverage164.label.gii<br>wb_command -label-resample Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Colors.32k_fs_LR.label.gii R.sphere.32k_fs_LR.surf.gii fs_R-to-fs_LR_fsaverage.R_LR.spherical_std.164k_fs_R.surf.gii BARYCENTRIC right.fsaverage164.label.gii<br><br>5. Using freesurfer, convert files from gii to annot:<br>mris_convert --annot left.fsaverage164.label.gii fs_L-to-fs_LR_fsaverage.L_LR.spherical_std.164k_fs_L.surf.gii lh.HCP-MMP1.annot<br>mris_convert --annot right.fsaverage164.label.gii fs_R-to-fs_LR_fsaverage.R_LR.spherical_std.164k_fs_R.surf.gii rh.HCP-MMP1.annot<br>6. Rejoice and share!<br>
DOI: 10.17605/osf.io/zq6c5
title: The 3-30-300 indicator, a tool for assessing geographical access and inequalities associated with green spaces: demonstration project for the island of Montreal, Canada

description: The shapefile contains spatial data used to calculate the 3-30-300 indicators at the dissemination area (DA) level. Each record in the dataset corresponds to a specific dissemination area, providing detailed information on the following urban greening indicators:

3 Visible Trees: The percentage of households within the dissemination area with a view of at least three trees from their home.
30% Tree Canopy Cover: The percentage of the dissemination area covered by tree canopy, representing the extent of urban tree coverage.
300m to Green Space: The proportion of households with access to a public green space within 300 meters walking distance.
The dataset also includes geographic boundaries for dissemination areas, facilitating spatial analyses and visualization of these indicators. It is designed to support urban planning, environmental assessments, and equity analyses related to green infrastructure and accessibility.
DOI: 10.17632/46vw2nnvvs
title: A parameterization of nuclear track profiles in CR-39 detector

description: Abstract In this work, the empirical parameterization describing the alpha particles’ track depth in CR-39 detectors is extended to describe longitudinal track profiles against etching time for protons and alpha particles. MATLAB based software is developed for this purpose. The software calculates and plots the depth, diameter, range, residual range, saturation time, and etch rate versus etching time. The software predictions are compared with other experimental data and with results of calculations ... Title of program: CR39 Catalogue Id: AENA_v1_0 Nature of problem A new semispherical parameterization of charged particle tracks in CR-39 SSNTD is carried out in a previous paper. This parameterization is developed here into a MATLAB based software to calculate the track length and track profile for any proton or alpha particle energy or etching time. This software is intended to compete with the TRACK_TEST [1] and TRACK_VISION [2] software currently in use by all people working in the field of SSNTD. Versions of this program held in the CPC repository in Mendeley Data AENA_v1_0; CR39; 10.1016/j.cpc.2012.06.011 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.25392/leicester.data.7588415.v1
title: Drug consumption database: original.csv

description: Drug consumption database with original values of attributes. DescriptionDB.pdf contains detailed description of database.
DOI: 10.6084/m9.figshare.16578275.v1
title: Meta-regression data

description: Dataset of meta-regression included in the study "Effects of physical activity levels on efficacy of vaccination"<br>
DOI: 10.6084/m9.figshare.28661030.v2
title: Supporting Data for Manuscript

description: Processed data supporting all figures presented in the manuscript currently titled: "<b>Low-coverage whole-genome sequencing facilitates accurate and cost-effective haplotype reconstruction in complex mouse crosses</b>".
DOI: 10.6084/m9.figshare.3531875.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.7268507.v2
title: Glass Binary Data

description: Metallic glass formation data for binary alloys, collected from various experimental techniques such as melt-spinning or mechanical alloying. This dataset covers all compositions with an interval of 5 at.% in 59 binary systems, containing a total of 5959 alloys in the dataset. The target property of this dataset is the glass forming ability (GFA), i.e. whether the composition can form monolithic glass or not, which is either 1 for glass forming or 0 for non-full glass forming.<br>The V2 versions of this dataset have been cleaned to remove duplicate data points. Any entries with identical formula and both negative and positive GFA classes were combined to a single entry with a positive GFA class.<br><br>Data is available as Monty Encoder encoded JSON and as the source CSV file. Recommended access method is with the matminer Python package using the datasets module.<br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br>Dataset discussed in:<br>Machine Learning Approach for Prediction and Understanding of Glass-Forming AbilityY. T. Sun<sup>†</sup><sup>§</sup> , H. Y. Bai<sup>†</sup><sup>§</sup>, M. Z. Li<sup>*</sup><sup>‡</sup>, and W. H. Wang<sup>*</sup><sup>†</sup><sup>§</sup><sup>†</sup> Institute of Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China<sup>‡</sup> Department of Physics, Beijing Key Laboratory of Optoelectronic Functional Materials & Micro-nano Devices, Renmin University of China, Beijing 100872, People’s Republic of China<sup>§</sup> University of Chinese Academy of Science, Beijing 100049, People’s Republic of ChinaJ. Phys. Chem. Lett., 2017, 8 (14), pp 3434–3439<strong>DOI: </strong>10.1021/acs.jpclett.7b01046Publication Date (Web): July 11, 2017
DOI: 10.6084/m9.figshare.957633.v1
title: Classifiers for MorphoJ landmark data

description: These are the classifier variables (specimen number, genus, family, order, locomotor mode and age) associated with the landmark data. To be uploaded into MorphoJ after the landmark data.
DOI: 10.17632/yrn7p7w37f
title: First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials

description: Data for manuscript entitled: First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials “Important Notes.pdf” contains useful details. “LAMMPS-Inputs.zip” folder includes: four examples of LAMMPS input scripts to study the mechanical properties at 300 K with the MTPs interatomic potentials. “AIMD-Inputs.zip” folder includes: VASP input parameters for the AIMD simulations. “POSCARs-for-AIMD.zip” folder includes: all considered structures for AIMD calculations. “Heterostructure-Models.zip” folder includes: constructed four graphene/borophene heterostructure models. “Training-Data-Full.zip” folder includes: full obtained AIMD trajectories. “Clean-MTP.zip” folder includes: untrained MTPs. “FEM-ABAQUS-Models.zip” folder includes and examples of ABAQUS input files for two heterostructures with the domain size of 63 μm (ABAQUS version 6.20).
DOI: 10.6084/m9.figshare.1031637.v2
title: Jean-Claude Bradley Open Melting Point Dataset

description: Jean-Claude Bradley's Legacy Dataset of Open Melting Points. 28,645 measurements including those found to be incorrect (marked as 'do not use'). csid corresponds to Chemspider ID.
DOI: 10.17632/7ywbz72rt2
title: nRBP_Kamel et al 2024

description: Raw data for western bloting and microscopy
DOI: 10.17632/hgw2bw24dh
title: JAAD Dermatology Images - Syphilis Supplementary Images

description: Supplemental images for JAAD Dermatology Images - Syphilis
DOI: 10.6084/m9.figshare.10279586.v1
title: Identification and characterisation of heat shock protein gene (HSP70) family and its expression in <i>Agave sisalana</i> under heat stress

description: Heat shock Protein (HSP) expression is the plants’ responses to high temperature. We analysed the HSP70 gene family in <i>Agave sisalana</i> transcriptome to understand its expression under heat stress. A total of 167 genes were identified as heat shock protein genes. Among them; 74, 39 and 25 belong to the HSP70, HSP20 HSP90 respectively and multiple sequence alignment of conserved domain proteins of <i>As</i>HSP70 showed that they are highly conserved. Fifty-two <i>As</i>HSPs were classified into three major classes according to their structural characteristics. Phylogenetic analysis indicated that orthologs from <i>Agave deserti</i> and <i>Agave tequilana</i> species were distributed among the three classes; which revealed the diverse expression of HSP70 gene family. <i>In silico</i> subcellular localisation of <i>As</i>HSP, suggested that its interaction is quite diverse in target cells and active signalling pathways. Transcripts identified and named as B1, B3, B5, B7, B9, B11, B13, B15, B17 and B19 were validated through Nested PCR. Significant difference in the expression pattern of target gene was revealed after normalisation with GAPDH. Gene expression was up-regulated with some exceptions as down-regulated. <i>In silico</i> analysis of HSP70 gene family identified from <i>A. sisalana</i> suggests that genetic transformation of this gene will induce heat tolerance in transgenic crops.
DOI: 10.6084/m9.figshare.12249575.v1
title: Italian provinces 2018

description: Table of the administrative codes of the 107 Italian provinces. The fields of the table are:<br>- COD_PROV is an integer field that is used to identify a province in all other data records; - SIGLA is a two-letters code that identifies the province according to the ISO\_3166-2 standard- DEN_PCM is the full name of the province.
DOI: 10.6084/m9.figshare.23939394.v1
title: Source data - Sang et al., 2023.

description: Source data of Sang et al., 2023.
DOI: 10.17632/5ry2hmc2wm
title: Bimekizumab for patients with moderate-to-severe plaque psoriasis: 60-week results from BE ABLE 2, a randomized, double-blinded, placebo-controlled phase 2b extension study (supplemental materials)

description: Supplemental materials for the manuscript: 'Bimekizumab for patients with moderate- to-severe plaque psoriasis: 60-week results from BE ABLE 2, a randomized, double-blinded, placebo-controlled phase 2b extension study.' Includes supplemental methods for the BE ABLE 2 phase 2b trial, patient demographics and baseline characteristics, incidence of serious treatment-emergent adverse events in the trail, patient disposition flowchart, PASI90 reponse rates over time in Week 12 PASI90 responder and non-responder subgroups, and PASI100 response rates over time in Week 12 PASI90 responders.
DOI: 10.6084/m9.figshare.16993396.v5
title: Supplementary Tables S1-S10

description: Supplementary Tables S1-S10 for "Novel virosphere potentially assisting in carbon, nitrogen, and sulfur metabolism in the upper slope sediments of Mariana Trench"