cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8051966.v1
title: Critical current characterisation of Samri 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial 2G HTS REBCO wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington.
DOI: 10.6084/m9.figshare.18485417.v2
title: Risky sexual behaviours among Ugandan university students: A pilot study exploring the role of adverse childhood experiences, and family environment. Data set

description: <b>Background: </b>University students are known to have risky sexual behaviours (RSBs). The severity of the RSB is influenced by many factors including the family environment, exposure to adverse childhood events (ACEs), and the use of addictive substances. However, there is limited information about the influence of ACEs and family environment of these students in low-and medium-income countries (LMICs). Therefore, a pilot study was conducted among university students from a LMIC, Uganda. <b>Methods: </b>The present study comprised a cross-sectional online survey among Ugandan students at a public university (N=316; 75% male; 52.2% aged between 18-22 years). The survey included questions relating to sociodemographic information, family environmental information, the Sexual Risk Survey (SRS), and the Adverse Childhood Experiences-International Questionnaire (ACE-IQ). <b>Results: </b>Over half (53.8%) reported having had sexual intercourse. Males reported over two times higher mean total SRS score compared to females (<i>χ</i><i><sup>2</sup>=</i>4.06<i>, p=</i>0.044). Approximately one-sixth of the sample had drunk alcohol or used illicit psychoactive substances in the past six months (16.1%). Among four regression analysis models, sociodemographic variables, psychoactive substance use history (past six months), and ACEs, all individually explained approximately 7% variance in total SRS score, with the final model predicting 24% of the variance in RSB. <b>Conclusions:</b> This pilot study demonstrated a gender disparity with males involved in more RSB than females, as has been reported in most RSB studies. Family environment, sociodemographic factors, substance use, and ACEs all appear to play a contributory role in RSB among university students. These findings benefit other researchers exploring factors associated with RSB among university students and will help in the implementation of initiatives to reduce RSB to protect students from unwanted pregnancies, sexually transmitted diseases, and HIV/AIDS.
DOI: 10.6084/m9.figshare.21273609.v3
title: Bos taurus pangenome graph

description: The output file of hierarchical alignment (hal) of 14 Bos taurus genomes, including the Hanwoo assembly, was generated using the Minigraph-Cactus Pangenome Pipeline. 14 assemblies were collected with the Hereford assembly, ARS-UCD1.3, as the reference genome. 8 haplotype-resolved assemblies of Angus (UOA_Angus_1, GCF_002263795.3), Brahman (UOA_Brahman_1), Simmental (ARS-Simm1.0), Scottish Highland bull (ARS_UNL_Btau-highland_paternal_1.0_alt, GCA_009493655.1), N’Dama (ROSLIN_BTT_NDA1), Ankole (ROSLIN_BTI_ANK1), Jersey (ARS-LIC_NZ_Jersey, GCA_021234555.1), Holstein Friesian (ARS-LIC_NZ_Holstein-Friesian_1, GCA_021347905.1) Original Braunvieh, Nellore, Brown Swiss, and Piedmontese were collected from the public database (https://doi.org/10.5281/ZENODO.5906579) and scaffolded and merged by RagTag8 following the protocol of previous article. <br> This hal file was generated using Minigraph-Cactus pangenome pipeline.
DOI: 10.6084/m9.figshare.28868615.v1
title: Workplace gaslighting increases nurses job burnout

description: Workplace gaslighting increases nurses job burnout
DOI: 10.6084/m9.figshare.11962461.v1
title: L2 Section, Sample 11. 69 Year Old Female

description: A 3 mm thick para-sagittal slice of L2 vertebra from an 69 year old female embedded in PMMA then micro-milled block surfaces carbon coated for quantitative 20kV BSE SEM.<br><br>Later polished to remove coating and then imaged with high-contrast X-Ray Micro-tomography at 90 kV with 30 micron voxel size.<br><br>
DOI: 10.6084/m9.figshare.24481669.v1
title: Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models

description: Rapid and accurate estimation of forest biomass are essential to drive sustainable management of forests. Field-based measurements of forest above-ground biomass (AGB) can be costly and difficult to conduct. Multi-source remote sensing data offers the potential to improve the accuracy of modelled AGB predictions. Here, four machine learning methods: Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Classification and Regression Trees (CART), and Minimum Distance (MD) were used to construct forest AGB models of Taiyue Mountain forest, Shanxi Province, China using single and multi-sourced remote sensing data and the Google Earth Engine platform. Results showed that the machine learning method that most accurately predicted AGB were GBDT and spectral index for coniferous (R<sup>2 </sup>= 0.99; RMSE = 65.52 Mg/ha), broadleaved (R<sup>2 </sup>= 0.97; RMSE = 29.14 Mg/ha), and mixed-species (R<sup>2 </sup>= 0.97; RMSE = 81.12 Mg/ha) forest types. Models constructed using bivariate variable combinations that included the spectral index improved the AGB estimation accuracy of mixed-species (R<sup>2 </sup>= 0.99; RMSE = 59.52 Mg/ha) forest types and reduced slightly the accuracy of coniferous (R<sup>2 </sup>= 0.99; RMSE = 101.46 Mg/ha) and broadleaved (R<sup>2 </sup>= 0.97; RMSE = 37.59 Mg/ha) forest AGB estimation. Overall, parameterizing machine learning algorithms with multi-source remote sensing variables can improve the prediction accuracy of mixed-species forests.
DOI: 10.6084/m9.figshare.28654751.v1
title: Data and scripts supporting Tiwari et al. (2025) "Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models"

description: Global Water Models (GWMs) are critical tools for understanding the Earth's water cycle and water resource management under changing climate and accelerating human interventions. While GWMs have been evaluated for hydrologic fluxes (e.g., river discharge) and the role of representing human activities, there is a persistent gap in understanding models’ ability to simultaneously reproduce fluxes and storages (e.g., terrestrial water storage; TWS). Here, we show that eight state-of-the-art GWMs do not consistently reproduce discharge and TWS with same efficacy across varied geographic and climatic regions. Further, model performance for discharge deteriorates as human impacts intensify. While a general agreement between simulated and observed TWS trends is found in two-third of major global river basins, models tend to underestimate the trends in both directions. Likewise, no single model simulates TWS trends and seasonality accurately and uniformly across major global river basins. While improvements in capturing basin-averaged TWS trends, spatial distributions, and seasonal fluctuations have been achieved compared to previous reports, challenges remain in accurately reproducing both fluxes and storages, owing primarily to inadequate representation of human activities in heavily managed regions. This study underscores critical disparities in GWM performance, emphasizing the need for further model enhancements which is crucial for improved and more robust hydrologic assessments and predictions under climate change.
DOI: 10.17632/4nn7d4d2vk
title: Data for: Bark attributes determine variation in fire resistance in resprouting tree species

description: Observations of stem diameter, bark thickness and resprouting in burnt and unburnt eucalypt forests.
DOI: 10.6084/m9.figshare.13440209.v2
title: data_gamers.csv

description: Dataset of contrast measurements for gamers and non-gamers.<br>
DOI: 10.6084/m9.figshare.25345972.v3
title: DEGs and DEG-derived data from RNA-Seq data from pearl millet

description: Lists of differentially expressed genes (DEGs) detected in leaves and roots of pearl millet plants treated with drought, NaCl, polyethylene glycol (PEG) or abscisic acid (ABA) are provided here. Results of analyses of motifs enriched in the promoters of these DEGs are also provided. Results of analyses of gene ontology (GO) terms enriched in those DEGs are also provided. Matrices of the read counts and transcripts per million (TPMs) derived from the ABA-treated samples are also provided. Matrices of those from the drought-, NaCl- and PEG-stressed samples are provided in https://doi.org/10.6084/m9.figshare.24902100.
DOI: 10.6084/m9.figshare.3370675.v1
title: Reconstructing the backbone of the Saccharomycotina yeast phylogeny using genome-scale data

description: Understanding the phylogenetic relationships among the yeasts of the subphylum Saccharomycotina is a prerequisite for understanding the evolution of their metabolisms and ecological lifestyles. In the last two decades, the use of rDNA and multi-locus data sets has greatly advanced our understanding of the yeast phylogeny, but many deep relationships remain unsupported. In contrast, phylogenomic analyses have involved relatively few taxa and lineages that were often selected with limited considerations for covering the breadth of yeast biodiversity. Here we used genome sequence data from 86 publicly available yeast genomes representing 9 of the 11 known major lineages and 10 non-yeast fungal outgroups to generate a 1,233-gene, 96-taxon data matrix. Species phylogenies reconstructed using two different methods (concatenation and coalescence) and two data matrices (amino acids or the first two codon positions) yielded identical and highly supported relationships between the 9 major lineages. Aside from the lineage comprised by the family Pichiaceae, all other lineages were monophyletic. Most interrelationships among yeast species were robust across the two methods and data matrices. However, 8 of the 93 internodes conflicted between analyses or data sets, including the placements of: the clade defined by species that have reassigned the CUG codon to encode serine, instead of leucine; the clade defined by a whole genome duplication; and the species Ascoidea rubescens. These phylogenomic analyses provide a robust roadmap for future comparative work across the yeast subphylum in the disciplines of taxonomy, molecular genetics, evolutionary biology, ecology, and biotechnology. To further this end, we have also provided a BLAST server to query the 86 Saccharomycotina genomes, which can be found at http://y1000plus.org/blast.
DOI: 10.6084/m9.figshare.19164680.v2
title: Plant and Environment data for 34 urban green spaces in Tokyo

description: This data is based on observations of plant communities and environments in 34 urban green spaces in Tokyo during the summer (July-August) and autumn (September-October) of 2020.<br>And script of variation partitioning at each random buffer.
DOI: 10.6084/m9.figshare.2063082.v3
title: Structure of human splicing factor 3b (SF3b): theoretical model

description: Structural model of human splicing factor 3b (SF3b) as of January 13th 2016.<br><br>The model was generated using PyRy3D software in October 2015.<br>
DOI: 10.6084/m9.figshare.28719632.v1
title: Supplemental Data File 2

description: mRNA-seq_Vasculature_related_genes_PKD_6m_vs_WT_6m
DOI: 10.11583/dtu.8143775.v2
title: ALEX17 high-resolution, digital information of topography, surface and aerodynamic roughness of the experimental domain

description: The present dataset is part of the Alaiz Experiment-2017 (ALEX17). The information is divided into two groups based on their source. 1)Two raster-tpye geotif files containing the Digital Elevation and Digital Surface Models (DEM and DSM) data of the ALEX17 domain. The models were built by TRACASA ( https://tracasa.es/all-about-us/) which is a company part of the Navarra Government. The original dataset is cropped to fit the ALEX17 experimental domain with the following spatial coverage: 607700, 4720300 628010, 4738800 The datasets are generated through lidar airborne scans taken during years 2011 and 2012 and updated by photogrammetry with orthophotos of year 2014. The original lidar scans (2011-2012) have a density of 1pnt/m^2 . The raw data are then processed and converted to orthometric heights (from the original ellipsoidal heights ) and later projected into a 2x2m grid with spatial reference EPSG:25830. The conversion from ellipsoidal to orthometric height is carried out with the EGM2008_REDNAP model, generated by the Spanish Geographic National Institute available in: ftp://ftp.geodesia.ign.es/geoide/ 2)The second dataset is also a raster-type file which contains the approximate annual mean of aerodynamic roughness length in meters. The maps was created with two data sources: Visual estimation of the roughness length values & zones. The Corine Land Cover (CLC) 2006 data. 2.1) The visual estimations of roughness values w carried out with the use of both, orthophotos gathered from the National Geographic Institute of Spain (IGN) as well as site visits. These values were assigned to the Alaiz mountain region while the 2.2) CLC-derived roughness was set to the rest of the domain area. The orthophotos are obtained from the National Plan for Aerial Orthophotogrpy (PNOA) program (available at http://www.ign.es/ign/layoutIn/faimgsataerea.do ). These photos have a pixel size of 50cm and were taken in summer 2014. On the other hand, the Corine Land Cover (CLC) 2006 raster dataset have a 100 m grid size. These data are available at http://www.eea.europa.eu/data-and-maps/data/corine- land-cover-2006-raster-3 (g100_06.zip file). The roughness values were derived from the Land Cover data mostly based on the relation between CLC and the aerodynamic roughness length applied by the Finnish wind atlas (http://www.tuuliatlas.fi/modelling/mallinnus_3.html ). The final composed roughness raster map was built by interpolation (nearest-neighbor) of the two data sources onto a 10x10 meters grid . The map is also projected with the same spatial reference as the DEM/DSM data described above.
DOI: 10.17632/mdys8hx3xy
title: Gentiana lutea subsp. lutea information

description: We provide the data on the accessions of Gentiana lutea subsp. lutea utilised in the germination study reported in the paper entitled "Predicting the Consequences of Global Warming on Gentiana lutea Germination at the Edge of its Distributional and Ecological Range" actually under review in PeerJ Journal. (information updated of 03 January 2020)
DOI: 10.17632/pwpb2ypk2j
title: How Plant Size Influences Specific Leaf Area in Six Neotropical Palms

description: Database of 16 functional traits relating palm size with variation in SLA in 6 understory and canopy palms. Palm size showed a negative relationship with SLA. The data is analyzed within the context of the Leaf Economics Spectrum and the Diminising Returns Hypothesis.
DOI: 10.6084/m9.figshare.26928454.v1
title: infant diarrhea data

description: 7969 infants were followed up and recorded the number of diarrhea days every 2 months from birth to 1 year old.The data comes from the Jimma Infants Survival Differential Longitudinal Growth Study.
DOI: 10.6084/m9.figshare.28696349.v1
title: Nanocrystalline Structure of Calcium Aluminate Silicate Hydrate

description: The Structure.zip includes files and information for the 1600 structures mentioned in the article. The Travis Result.zip contains the results of processing the trajectories using TRAVIS. The Equilibrium Structure.zip contains 160 structures that have been minimized and equilibrated through molecular dynamics, and mechanical tests were conducted based on these structures.
DOI: 10.17632/f9gny773br
title: Does C-score-based world ranking give an accurate account of the impact of research papers?

description: John Ioannidis et. al [1] created a publicly available database of top-cited scientists in the world (popularly known as the world's top 2% Scientist list of Stanford University). This database has generated a lot of interest among the scientific community, institutions, and media attention. Many institutions gave wide publicity to this ranking and prominently displayed the names of their colleagues in various media. Some institutions even rewarded those who made the list in different ways. At the same time, many people look at this list with skepticism, citing the approach and shortfalls in the formula used in the evaluation of the c-score. This database is based on a unique composite indicator (c-score), where standardized details such as citations, h-index, co-authorship adjusted hm-index, and citations to papers in different authorship positions are used[1]. The original database has been updated yearly since its creation in 2019[2-3]. Two separate databases are created based on career-long and, single recent year impact. Career-long data is based on the citations from 1996 to 2022, but the single-year database is based on citations received during the calendar year 2022. This database is created using Scopus data from Elsevier. The latest database is performed using all Scopus author profiles as of October 1, 2023[3]. The Scientists included in this database are classified into 22 scientific fields and 174 sub-fields. To address the concerns originating from the research community on the authenticity of this database, and to assess the strengths and weaknesses of the c-score-based evaluation, I have done a detailed analysis of the matrix parameters of the last 10-year Nobel laureates of Physics, chemistry, and medicine. In this analysis, the latest career-long database is used. In the case of Physics Nobel laureates, analysis is done with the details of Nobel laureates of the last 25 years. The details of the analysis are presented in this article. Though the article says the selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field, the actual career-based ranking list has 204644 names. In the career-based rank list, the person with the lowest h index in the list has an h22 of 2 (with an np6022 of 11 and total citations nc9622 of 835). There are 1155 authors with single-digit h22 index too. In the same list, the person with the lowest number of papers has an nc6022 of 2 (with nc9622 of 12128 and first and last publications in 1929 and 1966, respectively). The author with a minimum number of citations in the list has an nc9622 of 41 (h22 of 3). The c-score-based lowest rank holder in the list has a rank of 4809825 (nc9622 of 41, and h22 of 3). These results indicate aberrations in the ranking.
DOI: 10.6084/m9.figshare.12751073.v1
title: geneConversions.zip

description: Data used to convert data from one gene ID to another.
DOI: 10.6084/m9.figshare.14853774.v1
title: raw data of qRT-PCR.txt

description: raw data of qRT-PCR
DOI: 10.6084/m9.figshare.25657893.v1
title: Supplementary Material for: Comparison of intermittent pneumatic compression pump as adjunct to decongestive lymphatic therapy against decongestive therapy alone for upper limb lymphedema after breast cancer surgery: A systematic review and meta-analysis

description: Background: Breast cancer is among the most prevalent malignancies in women worldwide, with substantial morbidity and mortality. Upper limb lymphedema (ULL) is a common complication after breast cancer surgery that affects patients' daily activities and quality of life. Decongestive lymphatic therapy (DLT) and intermittent pneumatic compression (IPC) therapy are two primary treatment methods for ULL. 
Objectives: This study aims to compare the efficacy of DLT with IPC versus DLT alone in the management of ULL following breast cancer surgery. 
Method: PubMed Central, SCOPUS, EMBASE, MEDLINE, Cochrane trial registry, Google Scholar, and Clinicaltrials.gov databases were comprehensively searched for randomized controlled trials (RCTs) comparing DLT with IPC and DLT alone in patients with breast cancer-related ULL. Risk of bias was evaluated using the RoB 2 tool. Pooled effect sizes were calculated using random-effects models. 
Results: A total of 1894 citations were identified by the systematic search. Of them, 9 RCTs were included in the analysis. The pooled SMD for percentage volume reduction was 0.63 (95%CI: -0.24 to 1.50; I2=90.9%), showing no significant difference between the DLT alone and DLT combined with IPC (p=0.15). Pain and heaviness scores were also comparable between the groups. However, there was a significant difference in external rotation joint mobility (SMD=0.62; 95%CI: 0.08-1.16; I2=23.8%), favouring DLT with IPC. 
Conclusions: Our findings suggest that DLT with IPC and DLT alone showed similar findings in managing ULL after breast cancer surgery, with DLT with IPC showing a greater impact on external rotation joint mobility. Healthcare providers should consider patient preferences and individual factors when selecting the most appropriate treatment modality for ULL management.
DOI: 10.6084/m9.figshare.7390514.v1
title: Thermohaline-shear instability

description: data used to create figures 1, 2 and 3 for "Thermohaline-shear instability"
DOI: 10.17632/vtzt4h5cjy
title: Reading or Translating Words in Story Contexts Facilitates Their Production the Next Day

description: Data to accompany manuscript entitled "Reading or Translating Words in Story Contexts Facilitates Their Production 
the Next Day: Evidence from Bilingual Repetition Priming." Hypotheses, methods, results, and interpretations are described in detail in the manuscript. Here, we provide the materials, language assessment scores, demographic and language background information, individual participant data files, master file with trial-level data from all participants, participant-level condition means, counts of trials excluded for different reasons, participant-level lengths of longer retention interval, and analysis code.
DOI: 10.58073/sruc.25540165.v1
title: Impact of grazing_Movement and BCS Data.xlsx

description: Dataset for publication
DOI: 10.6084/m9.figshare.17086412.v3
title: VASP calculations

description: All input files (INCAR, POSCAR, KPOINTS) needed to reproduce the MD results, trajectories (XDATCAR), and Movie from two-phase simulations are deposited here.
DOI: 10.6084/m9.figshare.28816250.v4
title: Multiomics analysis on polyamine metabolisms in colorectal cancer indicates important contribution of impaired anti-tumor activities of CXCR6<sup>+</sup>CD8<sup>+</sup>T cells by the extracellular putrescine

description: The models were reconstructed to randomly obtain three colons in each group. Lamina propria mononuclear cells (LPMC) were extracted as previously described (Wei et al. 2024). Whole cells from the colons were isolated using the RWD Intestine Enzymolysis Kit (DHIE-5007). The LPMC and whole cells with number ratio 1:1 were pooled into single-cell suspension for downstream construction of scRNA-seq libraries using a SeekOne® Digital Droplet single-cell 3’ transcriptome kit (SeekOne, Beijing) according to the manufacturer’s instructions. The scRNA-seq libraries were sequenced at Novogene (Co. Ltd., Beijing, China). The processing of the raw reads followed the same protocol as described previously (Shi et al. 2024). The downstream analysis in R software, including the quality filter, cluster annotation, and DEGs, was the same as mentioned above.
DOI: 10.6084/m9.figshare.17109131.v1
title: PSET SARS-CoV-2 Assays

description: Table 1. Assay. The assay definition is a string of delimited components, such as probe and primers, which are also listed in separate columns. Identity statistics to the reference genome (NCBI GenBank accession no. NC_045512) are listed under the sstart (subject start), send (subject end), and pident (percent identity) columns.