cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nr5cggpss7
title: A Fortran system to maintain a program library 2. Retrieval of program decks from the library files

description: Title of program: CPSN Catalogue Id: AANG_v1_0 Nature of problem Program RETRIEVE retrieves decks, specified by their catalogue numbers from master library files which are copies of the files described in paper 1. The files may be serial or direct access. The output medium can be cards or listings. Only one person is supplied in one run. Programs CPSN, CPIN, CREC are auxiliary programs, described in appendices 1 and 2, for file manipulation. Versions of this program held in the CPC repository in Mendeley Data aang_v1_0; CPSN; 10.1016/0010-4655(81)90080-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.26064448.v1
title: First record of microplastic contamination in endemic Amazonian anurans: Can the size and behavior of species influence contamination?

description: Microplastic (MP) weste, due to their high dispersion and bioaccumulation rates, have been identified in various animal groups, such as anuran amphibians during both larval and adult stages. However, current studies on adult anuran amphibians focus on assessing only one exposure route, the digestive system, while other routes remain underestimated. Therefore, this present study aimed to evaluate the degree of contamination in the digestive, respiratory, and integumentary systems, in situ, of two endemic Amazonian adult anuran species (<i>Physalaemus ephippifer</i> and <i>Boana multifasciata</i>). From this, we identified and characterized microplastic particles for each exposure route, assessed the effects of morphometric measures on the total MP contamination level and in the gastrointestinal tract (GIT). Additionally, we determined different contamination indices and how they vary according to species and systems. Based on our data, the digestive and integumentary exposure routes showed the highest contamination levels for both species. Additionally, variations in MP contamination levels indicated that <i>P. ephippifer</i> had a higher level of MP contamination. Thus, this study provides the first evidence of microplastic exposure through respiratory and integumentary routes in adult anurans in situ, and it is the first to identify MP contamination in terrestrial biomonitors in the Amazon.
DOI: 10.6084/m9.figshare.28200248.v1
title: Association between Hemoglobin/Red Blood Cell Distribution Width Ratio and Acute Kidney Injury in Sepsis and Heart Failure Patients

description: This excel file was organized based on: Sepsis; HF; Gender; Infection; DM; HAS; CKD; Smoker; BD; BI; BT; Ca; Glucose; K; CRP; Na; FA; GGT; TGO; TGP; Lac Art; pH; pCO2; BE; Bic; Sat; AG; BNP; Leuco; Bast; Segm; Neutro; Eosin; Basof; Linf; Mono; Neutr/linf ratio; Plaq; Temperature; Heart rate; Respiratory rate; PAS; PAD; 2xPAD MPAs; PAM; PAM&lt;65; Ejection Fraction; Left Ventricular mass index; Hb; Ht VCM; HCM; CHCM; RDW; RDW maior 15; VPM; RDW/100 ; Hb/RDW; HRR lower 79.93; Creat admiss; Ureia admiss; pO2; FiO2; pO2/FiO2; FR&gt;22; IOT; RNC; Vasoactive drugs; Days of vasoactive Drugs; Levos; Dobut Creat 7 D; Ureia 7 d;AKI; AKI_KDIGO; KDIGO_AKI 1; KDIGO_AKI2; KDIGO_AKI3; KRT days of oligury; Beginning of KRT; CVVHDF; Blood Transfusion; Hemoconcentrate (number); Days of admission CTI_ tx sanguínea; qSOFA; SAPS3; Mortality; days mortality
DOI: 10.17632/6k83yzvc2h
title: Media Digital Sustainability

description: Data Set Bibliometric Media Digital Sustainability
DOI: 10.17632/c7c26gwf3g
title: Survey data on the socio-economic characteristics and electric vehicle perceptions of paratransit owners and drivers in South Africa

description: The survey data contain information on the socio-economic characteristics and intention of electric vehicle (EV) adoption amongst paratransit owners and drivers, to address knowledge gaps and inform policy-making in paratransit electrification. The data were collected by distributing a Microsoft Forms survey questionnaire among paratransit owners and drivers in and around Cape Town, South Africa. The questions in the survey were designed to gain information, and to provide information on the latent constructs of the behavioral framework constructed in “Electric vehicle adoption intention among paratransit owners and drivers in South Africa”. The data were used in the aforementioned paper to shed light on the attitudes, barriers, and enablers to EV adoption in the paratransit sector, providing insights for targeted interventions and promoting sustainable mobility. The data can be re-used for more in-depth studies of, as well as comparative studies assessing the socio-economic profiles and EV perceptions of paratransit owners and drivers in vs. other regions, and longitudinal studies benchmarking changes in EV perceptions in these demographics over time. Comparative studies could identify regional variations, cultural influences, and policy implications for promoting EV adoption in different contexts, and longitudinal studies can assess the effectiveness of interventions, policy changes, or technological advancements on EV adoption in the paratransit sector over time.
DOI: 10.6084/m9.figshare.10101377.v1
title: Dataset on antibiotic effects on the gut microbiome in caecum contents of type 1 diabetic mice using metagenomic analysis

description: Disturbance of the gut microbiota has been associated with type 1 diabetes (T1D), but the effect of gut dysbiosis on cognitive function in T1D and its potential mechanism remain unknown. In this study, we treated streptozotocin-induced diabetic mice with vancomycin (Vanc) to disturb the gut microbiota and metabolic phenotype. In order to examine the gut microbial changes, we used a 16S rRNA gene sequencing approach to analyze the gut microbiome in caecum contents of normal control (CON), type 1 diabetic (T1D), and vancomycin-treated type 1 diabetic (T1DV) mice at 3, 7 and 11 weeks. To further determine the effect of antibiotic exposure on the gut microbiota at the species level, we performed a metagenomic analysis of the bacteria in caecum contents. Additionally, to study antibiotic effect on host metabolism, a <sup>1</sup>H NMR-based metabolomics approach was applied to analyze metabolic changes in caecum contents, feces, caecum tissues, colonic tissues, serum, and hippocampus. To establish a causal link between the gut microbiota and host metabolism, we next transferred fecal material from healthy donor mice (COND) to T1DV recipients for 14 days.
DOI: 10.6084/m9.figshare.21252420.v2
title: Water Hyacinth Samples in Lake Tana_ Final

description: This data was used to analyze the morphometric and biomass characteristics of water hyacinth on Lake Tana, Ethiopia.
DOI: 10.6084/m9.figshare.27184398.v4
title: Global monthly and annual <i>R</i><sub>s</sub> from 1982 to 2018 (Global Change biology; https://doi.org/10.1111/gcb.70118<b>)</b>

description: We provide the data for predicted soil respiration (<i>R</i><sub>s</sub>) from deep learning model (MLP). The resolution for all .tif files is 0.05°. The unit is expressed in g C m<sup>-2</sup> year<sup>-1</sup> (for annual <i>R</i><sub>s</sub>) and in g C m<sup>-2</sup> month<sup>-1</sup> (for monthly <i>R</i><sub>s</sub>).The R code used for the paper figures is available in the zip file "R code".<br><b>Note that any use of the data or code should cite the original article:</b><br><br>Laffitte, B., Zhou, T., Yang, Z., Ciais, P., Jian, J., Huang, N., Seyler, B.C., Pei, X. and Tang, X. (2025), Timescale Matters: Finer Temporal Resolution Influences Driver Contributions to Global Soil Respiration. Glob Change Biol, 31: e70118. <b>https://doi.org/10.1111/gcb.70118</b><br>
DOI: 10.6084/m9.figshare.3547566.v1
title: Appendix B. The results of a regression through the origin where the moments of the trait distribution of plots and grid cells calculated using presence–absence weighting are regressed on the mean trait values calculated using abundance weighting.

description: The results of a regression through the origin where the moments of the trait distribution of plots and grid cells calculated using presence–absence weighting are regressed on the mean trait values calculated using abundance weighting.
DOI: 10.6084/m9.figshare.7305986.v1
title: Additional file 7: of SyNDI: synchronous network data integration framework

description: This additional file is a zip package that contains all files and folder that used to generate Fig.Â 10. Detailed descriptions of each of these files and folders are presented in a README file included in this zip package. (ZIP 16.9 MB)
DOI: 10.17632/4jj4dfd6b7
title: Inthawong et al 2022 Whole blood assay Scrub Typhus

description: Using whole blood provides the possibility to stimulate peripheral T cells without the need for prior processing, is more suitable when sample volume is limited and can be performed in resource limited settings. The aim of this study was to optimise a whole blood assay using intracellular cytokine staining as a readout in order provide a robust tool for the characterisation of antigen-specific T cell responses to Orientia tsutsugamushi (OT), the causative agent of Scrub typhus with an emphasis to make the protocol feasible to run at field study sites. The protocol was optimised using whole blood from healthy volunteers and stimulating with staphylococcal enterotoxin B (SEB). The optimal stimulation conditions were 18hs of antigen stimulation followed by another 4 hours in the presence of brefeldin A (BFA) to block cytokine secretion. This protocol was subsequently used to study polyfunctional CD4+ and CD8+ T cell responses to heat killed whole cell antigen derived from OT and shows polyfunctional CD4+ T cell responses in acute scrub typhus patients. Flow cytometry data was acquired on a MACSQuant 10 Analyzer (Miltenyi Biotec) and analysed using FlowJo Version 10.5.3 (BD Biosciences). ELISpot data was generated using a Human IFN-g ELISpot Basic Kit (ALP)  from Mabtech AB, 3420-2A and plates were read on a CTL ELISPot reader  (Cellular Technology Limited, USA) using Immunospot 3.1 software and SmartCount settings.
DOI: 10.6084/m9.figshare.22746845.v1
title: Acquired signals for station 52008

description: compressed archive with {measurmentId}.npy files from contacless method for detecting partial discharges in xlpe cc power transmission lines
DOI: 10.6084/m9.figshare.25997890.v1
title: Cycle threshold values of PCR measurements for target and reference genes.

description: Treatment condition in first column: Donor ID and whether human primary airway epithelial cels from this donor were exposed to ETI (elexacaftor, tezacaftor, ivacaftor) for 48 hours or to DMSO. I columns are Human gene symbol, PCR cycle threshold in each cell
DOI: 10.6084/m9.figshare.26253776.v2
title: Exploratory Dataset on Log Severity Adjustments in Open-Source Software

description: This dataset contains the data used in the exploratory phase of the article <i>From Description to Prescription: Unraveling Log Severity Adjustments in Open-Source Software</i>, allowing for a detailed analysis of severity adjustments in open-source software projects.<br>Explanatory PhaseSLogAnalyser Queries[SLogAnalyzer query for Hadoop (502 git file urls)](sql/sloganalyser-hadoop-queries.sql):<br>[output (.csv)](puppeter-extraction/input/hadoop-files-without-system.csv)[SLogAnalyzer query for HBase (515 git file urls)](sql/sloganalyser-hbase-queries.sql):<br>[output (.csv)](puppeter-extraction/input/hbase-files-without-system.csv)[SLogAnalyzer query for Kafka (115 git file urls)](sql/sloganalyser-kafka-queries.sql):<br>[output (.csv)](puppeter-extraction/input/kafka-files-without-system.csv)<br>Extraction- [Puppeter extractor](/puppeter/)<br>Puppeter outputs<br>Hadoop: [Jira issues (.csv)](puppeter-extraction/output/hadoop-jira-without-system.csv) &gt;&gt;<br>[Jira issues - null filter (.csv)](puppeter-extraction/output/filter-null/hadoop-jira-without-system-filtered.csv) &gt;&gt; [Jira issues - duplicate filter (.csv)](puppeter-extraction/output/filter-duplicate/hadoop-jira-without-duplicate.csv)HBase: [Jira issues (.csv)](puppeter-extraction/output/hbase-jira-without-system.csv) &gt;&gt;<br>[Jira issues - null filter (.csv)](puppeter-extraction/output/filter-null/hbase-jira-without-system-filtered.csv) &gt;&gt; [Jira issues - duplicate filter (.csv)](puppeter-extraction/output/filter-duplicate/hbase-jira-without-duplicate.csv)Kafka: [Jira issues (.csv)](puppeter-extraction/output/kafka-jira-without-system.csv) &gt;&gt;<br>[Jira issues - null filter (.csv)](puppeter-extraction/output/filter-null/kafka-jira-without-system-filtered.csv) &gt;&gt; [Jira issues - duplicate filter (.csv)](puppeter-extraction/output/filter-duplicate/kafka-jira-without-duplicate.csv)<br><br><br>
DOI: 10.17632/cpyym5tjmb
title: Data for: Factors Associated With the Highest and Lowest Cited Research Articles in General Surgery Journals

description: Data of the highest and lowest cited articles from general surgery journals
DOI: 10.6084/m9.figshare.21997325.v3
title: Fuerza_articular_individual(obsoleto)

description: Base de datos obsoleta. Por favor acudir al siguiente link para acceder a los datos actualizados: https://doi.org/10.6084/m9.figshare.22151474
DOI: 10.6084/m9.figshare.24787488.v1
title: <b>Supplementary data</b> of "<i>Improving multi-breed genomic prediction by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium</i>"

description: The compressed file includes all data files necessary to reproduce the results of our study "<i>Improving multi-breed genomic selection by modeling heterogeneous genetic (co)variance with a blockwise approach accounting for linkage disequilibrium</i>", along with random number seeds for replicating associated sampling or simulation processes.<br><br>The data contained in the folder Keller2022 comes from Keller et al., which consisted of three bean breeding panels: climbing bean panel (VEC), Andean diversity panel (ADP), and the elite Andean breeding panel (VEF), whereas the latter two were bush type bean. Two traits 100-seed weight (100SdW) and yield (Yield) were analysed. The best linear unbiased estimators (BLUEs) for each trait calculated by Keller et al. (2022) were used as the response variable in our study. The numbers of lines with trait records for each panel were from 344 to 587. The filtrated genotype data with 14,913 SNPs located on 11 chromosomes were used in our study.<br>For a detailed introduction to the data, please refer to: https://doi.org/10.7910/DVN/RLAWYN<br><br>The data contained in the folder Xie2021 comes from Xie et al. The populations including 228 Landrace (LL) and 641 Yorkshire (YY). Two traits marbling score (MS) and proportion of fat areas in the image (PFAI) were analysed. All individuals in the dataset had both phenotypes and genotypes. After removing non-autosomal SNPs and those with a minor allele frequency (MAF) less than 0.01, a total number of 37,304 SNPs were remained for subsequent analysis.<br>For a detailed introduction to the data, please refer to: https://doi.org/10.6084/m9.figshare.14274785<br><br>The code and program files related to the dataset can be accessed at the following GitHub website link:<br>https://github.com/CAU-TeamLiuJF/GP-cross-validation
DOI: 10.17632/wmvrj6x5yb
title: SSR primers

description: ssr primers developed from date palm genome
DOI: 10.6084/m9.figshare.10062371.v1
title: Molecular phylogenetics of the endemic land snail genus Everettia: implications for the evolutionary history of northern Borneo

description: Supplemental Files for research articles. <br>File S1. FASTA file for DNA sequences alignments data matrix concatenated of 16S (position 1-501), COI (position 502-1059), 28S (position 1060-1869), and ITS-1 (position 1870-2795) genes for 73 taxa. Table S1. <i>Everettia </i>spp. Distribution records in Sabah for MAXENT species distribution modelling.<br>
DOI: 10.6084/m9.figshare.20294385.v1
title: Annotated reference genome of Glebionis coronaria

description: The chromosome-level genome assembly of Glebionis coronaria, and the annotations of protein-coding genes, transposon elements, tandem repeats, rRNA and tRNA genes in the genome in GFF3 format.
DOI: 10.6084/m9.figshare.24059022.v1
title: Raw data files

description: High density, high throughput genotyping-by-sequencing (GBS) was done of hard clams (Mercenaria mercenaria) from 17 populations: 14 wild populations along the East Coast of the United States (Ropp et al., 2023): Middle Bay, ME (MB); Harbor Cove; MA (HC); Cape Cod, MA (CC); Orient Bay, NY (OB); Raritan Bay, NY (RB); Great Bay, NJ (GB); Atlantic City, NJ (AC); Assateague, MD (AT); Wachapreague, VA (WP); Pocomoke Sound (PS); Mobjack Bay (MJ); James River, VA (JR); Bogue Sound, NC (BS); and North Inlet, SC (NI) and three cultured Virginia populations by Diversity Arrays Technology (DArT Pty Ltd, Canberra, Australia). A total of 52,397 single nucleotide polymorphisms (SNPs) were identified (_SNPs.csv). The metadata file contains the metrics for each clam sample: sample ID, population, and state.
DOI: 10.6084/m9.figshare.28704587.v1
title: Rawmolecular dynamics data of GL-PS

description: Molecular docking validated the binding interactions of Gl-PS components with key proteins, while molecular dynamics simulations assessed the stability of these interactions.
DOI: 10.6084/m9.figshare.28803582.v1
title: Analytical code from Latitude shapes diel patterns in insect biodiversity

description: An R markdown file for reproducing the analysis
DOI: 10.6084/m9.figshare.11629311.v1
title: Single nuclei gene expression matrix from 5 regions of the human prenatal brain

description: Data generated through single nuclei RNA sequencing on 5 regions of the brain (frontal cortex, ganglionic eminence, hippocampus, thalamus and cerebellum) from 3 fetuses (two of 14 and one of 15 post-conception weeks, all female). Tissue was acquired from the MRC-Wellcome Trust Human Developmental Biology Resource (HDBR) with ethical approval. <br> snRNA-seq libraries were prepared from ∼10,000 nuclei from each sample using Chromium Single Cell 3ʹ (v3) reagents (10X Genomics). Quality control of libraries was performed using the Agilent 5200 Fragment Analyzer before sequencing on an Illumina NovaSeq 6000 to a depth of at least 865 million (median = 1.01 billion) read pairs per library. Raw sequencing data were converted into FASTQ files, aligned to the hg38 build of the human reference genome and quantified using cellranger count (10X Genomics). <br> For a full description of data generation, please see Cameron et al, Biological Psychiatry 2022 https://doi.org/10.1016/j.biopsych.2022.06.033 <br>
DOI: 10.6084/m9.figshare.14541774.v2
title: DepMap 21Q2 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project. For more information, please see README.txt.<br><br>
DOI: 10.6084/m9.figshare.1601010.v1
title: Brain Schumann Resonance Signature

description: Schumann Signature.sav<br>Dataset to recreate Figures 4 to 6. This dataset contains several variables which refer to the root-mean-square of the rostral (Fp1,Fp2,F7,F3,Fz,F4,F8) middle (T3,C3,Cz,C4,T4) and caudal (T5,P3,Pz,P4,T6,O1,O2) aggregates of sensors for 237 EEG records. rostralschumann=rms rostral sensors<br>middleschumann=rms middle sensors<br>caudalschumann=rms caudal sensors schumann_intensity: refers to the grouping category used to discern differences in individual who display low (1) medium (2) and high (3) spectral schumann profiles ———— The next set of data refers to inferences of current source density (uA/mm^2) for the left and right parahippocampal regions within the delta, theta, alpha-1, alpha-2, beta-1, beta-2, beta-3, and gamma bands. Thus rightparahip_delta refers to right parahippocampal current source density in the delta band while leftparahip_gamma refers to left parahippocampal current source density in the gamma band. ——— The next set of variables refers to the statistics computed within MapWin for the classic 4 microstate model described in the paper. There are 20 variables: varexp: the average model variance explained for the subject gfp1 to gfp4: the average number of gfp peaks contributing to class 1 through 4 (see Koenig et al, 2002, NeuroImage) for topographies<br>gfptot=total number of gfp peaks in the 16 second epoch per1 to per4: average percentage of time occupied by class A (here indicated a 1) to class D (here indicated as 4). occ1 to occ4: average occurence (in Hz) of microstate A (1), B(2), C(3), D(4) in the 16 second epoch<br>occtot=total number of microstate occurrences (Hz) dur1 to dur4: the average durations of the various microstates (in msec) for A(1), B(2), C(3), D(4). ————— Finally the last sets of variables are the discrete spectral densities for the rostral, middle and caudal RMS signals (FFT resolution=.03 Hz) for each subject. The general anatomy is: X(n) where X refers to rostral (r), middle (m) or caudal (c) and (n) refers to frequency bin Hence examples of how to use the variables are c157- 4.71 Hz (157*.03) caudal RMS spectral density<br>r564- 16.92 Hz (564*.03) rostral RMS spectral density<br>m23- .069 Hz (23*.03) middle RMS spectral density
DOI: 10.6084/m9.figshare.25959652.v1
title: <i>Popnet</i>: computer vision based bespoken deep learning model for forecasting gridded population

description: This study introduces <i>Popnet</i>, a deep learning model for forecasting 1km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial variables and population data from 2000 to 2020, <i>Popnet</i> predicts South Korea's population trends by age groups (under 14, 15-64, over 65) up to 2040. In validation, it outperforms traditional machine learning and state-of-the-art computer vision models. The output of this model discovered significant polarization: population growth in urban areas, especially the capital region, and severe depopulation in rural areas. <i>Popnet</i> is a robust tool for offering significant insights to policymakers and related stakeholders about the detailed future population, which allows them to establish detailed, localised planning and resource allocations.<br><br>*<i>Due to the export restrictions on grid data imposed by the National Geographic Information Institute of Korea, the training data has been replaced with data from Tennessee. However, the Korean version of the future prediction data remains unchanged. Please take this into consideration.</i><br>
DOI: 10.6084/m9.figshare.27092434.v1
title: A Chromosome-level genome assembly of the alpine medicinal plant Bergenia purpurascens (Saxifragaceae)

description: A Chromosome-level genome assembly of the alpine medicinal plant Bergenia purpurascens (Saxifragaceae)