cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yhs329pd7d
title: Global Fear Index Data for the COVID-19 Pandemic

description: The COVID-19 Global Fear Index (GFI) seeks to measure daily concerns and emotions on the spread and severity of COVID-19 since the pandemic declaration. Excessive fears could have significant implications on investment sentiments and decisions, and as such affecting prices such as stocks and oil prices. Relying on the official reports of COVID-19 cases and deaths across the globe, the GFI is a composite index of two factors; Reported Cases and Reported Deaths, on a scale of 0 to 100, respectively indicating no fear to extreme fear/panic. An index value of 50 is considered neutral, while anything higher signals more fear than usual. We employed what we referred to as the incubation period expectation (EPE) in daily reported cases and deaths in constructing the index. The EPE is defined as the time expectation between when a person could be exposed to the Coronavirus and the emergence of symptoms of the disease. According to the World Health Organization (WHO), most estimates of the incubation period for COVID-19 range from 1-14 days (WHO, 2020). The first component of GFI is the Reported Cases Index (RCI) which measures how far peoples’ expectations on reported cases in the preceding 14-days period veered from the present day’s reported case. The choice of 14-day expectations represents the highest number of days for COVID-19 incubation period as defined by the WHO. The RCI for a given day is computed as the ratio of COVID-19 reported cases globally on the day under consideration and the sum of reported cases from the start of the incubation period to the current day. The ratio is then multiplied by 100 to give the index on a scale between 0 and 100. The second component is the Reported Deaths Index (RDI) and measures how far peoples’ expectations from reported deaths in the preceding 14-days period veered from the present day’s reported deaths. The RDI, just as the RCI, is computed as the ratio of COVID-19 related reported deaths across the world and the sum of reported deaths on the day under consideration day and the start of its incubation period (14 days ago). The ratio is also multiplied by 100 to give an index between 0 and 100. Finally, the construct of the GFI pulls the two indexes together with equal weights assigned to obtain the composite index. The composite index is given as the simple average of RCI and RDI defined above. The higher the value of GFI, the higher the global fear of the COVID-19 pandemic. Steps to reproduce the data (optional) The codes used to produce the data are contained the excel spread sheet. With basic MS excel skills, the data can easily be reproduced. Nonetheless, we hope to provide regular updates to encourage the use of the data for empirical analyses. References https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-covid-19.pdf Cited by this dataset https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports Is related to this dataset
DOI: 10.6084/m9.figshare.12972746.v1
title: Dataset of scanning electron microscopy images of freeze-dried Escherichia coli DH5α cells

description: This dataset comprises scanning electron microscopy (SEM) images of freeze-dried <i>Escherichia coli</i> DH5α cells. Sample preparation steps prior to imaging include a 100x dilution (with deionized water) of 15 hours old <i>E. coli</i> DH5α cells cultivated in LB Lennox medium at 37 <sup>o</sup>C and 230 rpm. Subsequently, 20 μL of the diluted culture broth was added to the carbon tape on the copper stub, and the sample was freeze dried for 24 hours. The sample was coated with platinum to reduce charging effects prior to SEM analysis. Most of the SEM images in this dataset were of low magnification at 15 kV accelerating voltage, and showed flakes of freeze-dried cells together with bright odd-shaped crystalline deposits. Increase in magnification revealed more in-depth morphology of the freeze-dried cells, but poor imaging conditions precluded the identification of clusters of freeze-dried <i>E. coli</i> cells. Finally, a single blurred image at 8000x magnification at 15 kV accelerating voltage revealed, in rough contours, the outline of freeze-dried <i>E. coli</i> cells in close-packed formation. Cells were of 1 μm length and had an intact rod-shape characteristic of <i>E. coli</i> DH5α. Overall, the result suggested that freeze-drying did not result in cell lysis or alter the morphology of <i>E. coli</i> DH5α.
DOI: 10.6084/m9.figshare.17081366.v1
title: Species-level 3255 Buffalo digestive tract metagenome MAGs

description: Species-level 3255 Buffalo digestive tract metagenome MAGs.Buffalo is an important livestock in Asia. Like other ruminants, its digestive tract (DT) is the key to the quality and wellbeing of buffalo and heavily interacts with microbes. Here, we present a comprehensive survey on the microbial ecology along buffalo’s DT, including eight sites in three sections (i.e., four-chambered stomach, intestine, and rectum). We collected 695 samples, performed metagenomic sequencing, and obtained 4,960 metagenome-assembled genomes (MAGs), to which ~85% of the raw reads could be mapped. 90.7% of the MAGs are previously unidentified at the species level. Overall, Firmicutes and Bacteroidetes are the most abundant phyla; their ratios showed an increasing trend along the DT, consistent with their functions in the DT sections. We identified known interactions between microbes and DT sites including the enrichment of fiber-digesting and methane-producing microbes in the four-chambered stomach. Strikingly, archaea were highly abundant in both four-chambered stomach and intestine, and showed positive correlations with Fibrobacter, indicating their roles in methane-production and fiber-degradation at both sections. We annotated 5,862,748 non-redundant proteins from the MAGs, many of which also showed different abundances and were related to site-specific functions. By comparing with the rumen microbiota of cattle, we found higher abundances of microbes in fiber degradation and but lower in methane production. Our catalog of microbial genomes and encoded proteins provides insight into their functions and interactions with distinct DT sites, and paves the way to microbial interventions for better buffalo quality.<br>
DOI: 10.6084/m9.figshare.24562564.v3
title: Supplementary material for: When to pair: Effects of different pairing ages ondairy calf health, behavior and performance

description: Data and code used in the manuscript When to pair: Effects of different pairing ages ondairy calf health, behavior and performance (https://doi.org/10.3168/jds.2024-25686)
DOI: 10.6084/m9.figshare.4982357.v1
title: Camera trap, tracking plot and nest monitoring data 2014-2015 & 2015-2016

description: Camera trap, tracking plot and nest monitoring data to monitor who is the important nest predator at Wreck Rock beach
DOI: 10.6084/m9.figshare.8960924.v1
title: B1_FRRP190009089-1a_1.fq.gz

description: 从转录组水平分析大肠杆菌基因的变化
DOI: 10.17632/948ffnypjs
title: Rheology data of human blood JUN18

description: SS, SAOS, Step up/down, LAOS, UDLAOS, Cessation of flow with ARESG2
DOI: 10.17632/pph9ksfvjd
title: CHOGlycoNET

description: Supplementary Material 1: Full set of reactions in CHOGlycoNET
Supplementary Material 2: Summary of reactions relevant to each dataset
Supplementary Material 3: Results of reaction importance analysis
Supplementary Material 4: Summary of glycan species in each dataset
Supplementary Material 5: glycan datasets from Kontoravdi/Haslam and Lewis Labs
Supplementary Material 6: UMAP code
Supplementary Material 7: SBML file with CHOGlycoNET using the COBRApy package in Python 3.7.3
DOI: 10.17632/w66hydtgwg
title: β-chitosan attenuates hepatic macrophage-driven inflammation and reverses aging-related cognitive impairment

description: All the target proteins in each picture come from the same piece of gel, and each band is labelled appropriately (including marker), which can be spliced into a complete membrane. Only bands from the same gel are used for data analysis. In addition to a white background photo corresponding to the underlying raw images, we also provide a composite image with marker.
DOI: 10.6084/m9.figshare.28141691.v1
title: Genome assemblies and annotation of <i>Verpa bohemica </i>and <i>Verpa conica</i>

description: We constructed subchromosomal genome assemblies for six strains of <i>Verpa </i>combing Nanopore and Illumina sequencing technologies. The average assembly sizes were 44.38 Mb for <i>V. bohemica</i> and 45.40 Mb for <i>V. conica</i>. Additionally, Hi-C data were used to anchor <i>V. bohemica</i> strain 21108 and <i>V. conica</i> strain 21120 to chromosomes 26 and 25, respectively. Benchmarking Universal Single-Copy Orthologue (BUSCO) analysis revealed that the completeness of the final assemblies exceeds 95%. Following the assembly and quality assessments, we annotated protein-coding genes and analyzed the phylogenetic relationships of the genus <i>Verpa</i>. We observed the presence of multiple accessory chromosomes in <i>Verpa</i>, suggesting the complexity of their chromosomal evolution. Furthermore, trough analyses of expaned gene families, along with the detecting of carbohydrate-active enzymes (CAZymes), we conducted a preliminary exploration of the genetic basis underlying the saprotrophic nutritional strategy of <i>Verpa</i>.
DOI: 10.17632/fhvsvsbvtg
title: Amharic dataset for hate speech detection

description: the dataset is collected from social media such as facebook and telegram.
the dataset is further processed. the collection are D1_org: this dataset is neither stemed nor stopword are remove: D1_sf: in this dataset stopwords are removed but not stemmed and in D3_stemed datset is stemmed and stopwords are removed. stemming is done using hornmorpho developed by Michael Gesser( available at https://github.com/hltdi/HornMorpho)
all datasets are normalized and free from noise such as punctuation marks and emojs.
DOI: 10.17632/knbbjzz3mr
title: Database of the study "Perceived stress in women with metabolic syndrome: a cross-sectional study"

description: Database of the study "Perceived stress in women with metabolic syndrome: a cross-sectional study"
DOI: 10.4121/15186108.v1
title: Main Data Sheet of the Research on Sleep Quality

description: This Data set contain gathered data from two government hospitals in Sri Lanka of nurses sleep quality assessed by utilizing Pittsburgh Sleep Quality Index and their socio-demographic data and values obtained as nursing errors using visual analogue scales.
DOI: 10.6084/m9.figshare.25018103.v1
title: Coping with alpine habitats: genomic insights into the survival strategies of Triplostegia glandulifera (Caprifoliaceae)

description: Triplostegia glandulifera genome assembly and annotation
DOI: 10.6084/m9.figshare.26401591.v1
title: Microphysical data of clouds and fogs over different underlying surfaces in China

description: These are ground-based, in-situ cloud and fog observation data from different underlying surface regions, including Nanjing, Lianyungang, Lushan, Huangshan, Zhanjiang, Xiamen, Shenzhen and Xishuangbanna in China from 2008 to 2021. The observation instruments are Fog monitors (model of FM-100 and FM-120) from Droplet Measurement Technologies.
DOI: 10.6084/m9.figshare.28259873.v1
title: Effect of PCE-SP on OPC-CSA Mortar

description: This data contains the experimental results investigating the effect of PCE-SP dosage on the early-age behavior of OPC-CSA-based mortar. Experimental techniques, including isothermal calorimetry, ultrasonic pulse velocity, compressive strength testing, Vicat needle, and dynamic flow table were employed to characterize the hydration process, setting time, and compressive strength development up to 28 days. Water-to-cement ratio of 0.3, cement-to-fine aggregate ratio of 1.0, and curing temperature of 25C were adopted for this research while all samples were prepared using Hobart benchtop mixer in accordance with ASTM standard.
DOI: 10.6084/m9.figshare.3551169.v1
title: Appendix A. The set of differential equations for each of the coral-turf, coral-algae, and coral-turf macroalgae models, together with a detailed discussion and justification of the equations.

description: The set of differential equations for each of the coral-turf, coral-algae, and coral-turf macroalgae models, together with a detailed discussion and justification of the equations.
DOI: 10.17632/6kd538g8nz
title: Two Dimensions of Passion and Exercise Addiction

description: These data represent the combined raw data from three previously published studies, so that only the data of individuals exercising at least 3 hours per week were included. 
The aim of the reanalysis was to demonstrate that there is one passion in exercise addiction including both high obsessive and high harmonious passion, matching the philosophy of "no pain, no gain".
Another aim was to examine gender and cultural differences in the studied variables.
DOI: 10.17632/8ppmphw235
title: MDPI Future Internet, Special Issue on "Modern Trends in Multi-Agent Systems" Dec. 2022

description: The following CSV files are available to reproduce the results found in a publication, submitted Dec. 2022, to Future Internet, Special Issue on Modern Trends in Multi-Agent Systems. The files here are transformed from the following source: https://www.kaggle.com/datasets/teejmahal20/airline-passenger-satisfaction 

The associated code to reproduce the results can be found here: https://github.com/spg63/MDPIFutureInternet-Dec2022 and will be made available upon reasonable request.
DOI: 10.6084/m9.figshare.19221720.v3
title: Anscombe Quarter

description: Anscombe's quartet
DOI: 10.6084/m9.figshare.22350886.v1
title: Datasets for "Chemical Imaging Reveals Diverse Functions of Tricarboxylic Acid Metabolites in Root Growth and Development"

description: The dataset provides the raw and derived mass spectrometry data files in support of the manuscript, "Chemical Imaging Reveals Diverse Functions of Tricarboxylic Acid Metabolites in Root Growth and Development." Please see research article citation below. <br> In brief, this dataset includes: <strong>Higher Resolution DESI-MSI </strong>files for ten B73 maize root sections, described in detail in the accompanying Excel Guide "B73_ROOT_DESI_MSI_GUIDE" <em>(.raw, .mzML, and .imzML formats)</em> <strong>Lower Resolution DESI-MSI</strong> files for 1 maize root section <em>(.raw, .mzML, and .imzML formats)</em> <strong>ESI-MS/MS</strong> of bulk B73 maize root extract to accompany the DESI-MSI data. A detailed Excel Guide "MS_MS_GUIDE" is provided. <em>(.raw format)</em> <strong>HPLC-MS/MS</strong> data for maize roots exogenously treated with 10 mM TCA cycle metabolites <em>(.raw format)</em> <br> Research Article Citation: Zhang, T., Noll, S.E., Peng, J.T. <em>et al.</em> Chemical imaging reveals diverse functions of tricarboxylic acid metabolites in root growth and development. <em>Nat Commun</em> <strong>14</strong>, 2567 (2023). https://doi.org/10.1038/s41467-023-38150-z
DOI: 10.6084/m9.figshare.8124920.v1
title: VCF files

description: GBS data derived from different enzyme combination and multiplexing level.
DOI: 10.25405/data.ncl.21889068.v1
title: DSC results

description: DSC was performed using a DSC Q20 (TA instrument) equipped with Universal Analysis 2000 software. Approximately 5 mg of chitosan powder was weighed and sealed in aluminium pans using a Tzero Sample Press Kit. An empty pan was used as reference. The samples were subjected to two heating/cooling cycles and a final heat ramp. In the first cycle for chitosan powder and hydrogels, the samples were heated from -50°C to 200°C and cooled to -50°C. In the second cycle, the samples were heated from -50°C to 500°C and immediately cooled down to -50°C. The final cycle consisted of a single heat ramp from -50°C to 500°C. All temperature ramps had a heating/cooling rate of 10°C/min under constant purging of dry nitrogen at 50 ml/min.
DOI: 10.6084/m9.figshare.21982424.v1
title: Seurat SmartSeq A.10-12

description: <strong>seurat v3 object</strong> <br> <strong>ASSAYS:</strong> RNA: mRNA expression data <br> <strong>DIMENSIONALITY REDUCTION</strong> projected: Data was projected on the main AML dataset from Cohorts A and B. scanorama: Data was integrated with Scanorama, using the patient as Batch key umap: umap computed from Scanorama components <br> <strong>METADATA</strong> patient: Patient ct: Projected cell type (Triana et al., 2021) ct_simple: Simplified projected celltype pseudo_myel: Projected myeloid pseudotime (Triana et al., 2021) proj_cluster: Projected cluster from main AML dataset dormancy_score: score assessing the dormancy of cells based on Zhang 2021 and Cabezas-Wallscheid 2017 gene lists.
DOI: 10.17632/2mc6rrc5j3
title: COVIDome Datasets Version 2.0

description: There are three datasets in this entry: the COVIDOme Sample Metadata, the COVIDome SOMAscan dataset, and the COVIDome MSD Cytokine Dataset. These datasets were generated by the COVIDome Project at the University of Colorado Anschutz Medical Campus. To learn more about the COVIDome Project please visit covidome.org. This project aims to accelerate translational research in the field of COVID19 by generating and broadly sharing multi-omics datasets of research participants with and without COVID19. The Sample Metadata file describes sample ID, COVID19 status at the time of blood draw (positive or negative), sex and age. The SOMAscan dataset is a plasma proteomics dataset obtained from research participants with and without COVID19 using the SOMAscan® technology. The MSD cytokine dataset was generated using multiplex immunoassays with Meso Scale Discovery (MSD) technology.
DOI: 10.17632/ss8cdvr74v
title: Data for: Litter of the invasive Rhododendron ponticum modifies the decomposition rate of native UK woodland litter

description: Data from bioassays and chemical analyses
DOI: 10.6084/m9.figshare.20520567.v2
title: Manlick et al. 2022_Ecology

description: Data and R script from Manlick et al. 2022, " The coupling of green and brown food webs regulates trophic position in a montane mammal guild" in Ecology.
DOI: 10.6084/m9.figshare.3491951.v1
title: test-data.zip

description: Test data set for MetaGen.
DOI: 10.17632/bb5jb7t2zv
title: Gender Equality in Research & Innovation – 2024 Review

description: Elsevier's 2024 Gender Report tracks and analyzes data across 18 countries and 2 regions (EU 27 and the world) examining women’s performance in research and innovation across disciplines and career stages. Our Report provides new insights into interdisciplinarity, multidisciplinarity, grant recipients, patent applications, open access, UN Sustainable Development Goals (SDG) research areas, as well as alternative metrics including policy and media citations. 

More information at https://www.elsevier.com/en-au/insights/gender-and-diversity-in-research
DOI: 10.6084/m9.figshare.23304794.v1
title: The birdsong of 11 common and widespread bird species in Xuzhou,China with 44100 sampling rate

description: The birdsong of 11 common and widespread bird species in Xuzhou,China with 44100 sampling rate.
DOI: 10.6084/m9.figshare.29120648.v1
title: media hist article.csv

description: Data For INEXTRICABLE TIES: RECENTERING SLAVERY AND CAPITALISM IN THE HISTORY OF THE EARLY AMERICAN NEWSPAPER (1704 – 1729).
DOI: 10.17632/2d3kr8zynf
title: Arbovirus clinical data, Brazil, 2013–2020

description: This data set presents clinical, sociodemographic, and laboratory information of confirmed patients of Dengue and Chikungunya, as well as patients cases discarded from these same diseases. The data were accounted for by the Health Problem and Notification Information System, from Portuguese Sistema de Informação de Agravo de Notificação (SINAN), that occurred in Brazil, from 2013 to 2020. The data set has 7,632,542 records and 56 attributes. This data set contains four CSV files, the "data set.csv" file contains the pre-processed data set, the "attributes.csv" file contains information about each attribute present in the data set, and the "dengue.csv" and "chikungunya.csv" files contain the data set originated from SINAN without the application of any pre-processing technique.

Some columns of the dataset have the IBGE code as a value, a code from the Brazilian Institute of Geography and Statistics. For better understanding, it is possible to use the institute's link to link the code with the city, state or country.
DOI: 10.17632/4mtym6nkcx
title: Gen Z Social Media Engagement with a Security Perspective

description: This is a research raw data that consist of social media essential factors with security factor concern
DOI: 10.6084/m9.figshare.27144840.v1
title: Embryonic behavior and skeletogenesis of <i>Okamejei kenojei </i>embryos dataset

description: This dataset contains 13 files, named <b>figures 1-12</b> and <b>figure S1</b>, respectively. <b>Figures 1-12</b> correspond to the supporting data for the images in the paper, figures 1-12. Each folder contains images named according to the incubation period, such as '29dpd' indicating that the embryo has developed for 29 days after egg-laying. The '***component images' folder includes images from different regions that can be used for composite purposes, as well as a reference scale. For the scale bars in other images, please refer to the paper. Note: Images from different regions of the same sample may have overlapping areas. The<b> figure 1</b> folder contains videos of embryonic behaviors, named <b>videos S1-6</b>. The<b> figure S1</b> folder contains a photo of unfertilized eggs.<br><br>
DOI: 10.6084/m9.figshare.28074533.v2
title: QEC_data.zip

description: This repository contains error correction simulation data presented in Ref.[1].Data sets correspond to k = 2, 3, 4 <i>La-cross</i> quantum LDPC codes under hardware-specific and agnostic noise models (see Ref.[1]).[1] Laura Pecorari, Sven Jandura, Gavin K. Brennen, and Guido Pupillo, "High-rate quantum LDPC codes for long-range-connected neutral atom registers", arXiv:2404.13010 (2024)
DOI: 10.6084/m9.figshare.29081249.v1
title: data fitoplankton.xlsx

description: Data Lampiran Lanjutan