cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fk6rys63h9
title: Image dataset for a CNN algorithm development to detect coronary atherosclerosis in coronary CT angiography

description: Coronary artery image sets for 500 patients. Each image represents a Mosaic Projection View (MPV) which consists of 18 different views of a straightened coronary artery stacked vertically. Training-Validation-Test image sets are sub-divided per patient with 3/1/1 ratio (300/100/100), each with 50% normal and 50% diseased cases. Artery images derived from the 300 training cases were augmented 6-fold to create 2,364 (i.e., 394 x 6) images in order to strengthen modeling and dataset balance. However, augmentation was not performed on the: 1. normal component of the training dataset (2,304 images); 2. entire validation dataset; or 3. entire testing dataset. In the validation dataset, only one artery was randomly selected per normal case (50 images) and diseased case (50 images) for balance maintenance.
DOI: 10.6084/m9.figshare.1538584.v2
title: Test of accuracy of host associations from BEAST analysis

description: To test the accuracy of our predictions of current host associations we randomly selected a set of viruses with known associations, re-described their host association as ambiguous between all possible states (a greater level of uncertainty than we generally attributed to viruses in our data), and re-ran our analysis. The three viruses highlighted in red were given an incorrect host association in the analysis.
DOI: 10.6084/m9.figshare.25648770.v1
title: Multidimensional match performance dataset - StatsBomb & Transfermarkt

description: Match performance analysis stands at the forefront of football research, offering profound insights into the dynamics of player and team behaviours. While we encourage those seeking detailed <b>event data</b> to explore the Open Data of StatsBomb or A public data set of spatio temporal match events in soccer.Our data sets allow to use original <b>event data</b> from <b>StatsBomb </b>or <b>Wyscout</b>, but with our record link tables, they could incorporate information on <b>injuries </b>or <b>market values</b> from <b>Transfermarkt</b>.In this <b>Multidimensional match performance dataset</b>, we aggregated the event data at a match level by counting the total number of each event type that occured during the match.This option streamlines the initial stages of data collection and aggregation, which is particularly beneficial for those working at a higher level of analysis.The dataset contains the following fields (categorized by dimension):<br><b>Match Information(StatsBomb) :</b> match_id, match_date, home_team, away_team, home_score, away_score, kick_off, match_week, stadium, home_managers, away_managers, match_status, match_status_360,<br>last_updated, last_updated_360, data_version, shot_fidelity_version, xy_fidelity_version<b>Competition Information(StatsBomb): </b>competition, season, competition_season, competition_stage<b>Team Information(StatsBomb)</b>: team_name, formation<b>Player Information(StatsBomb):</b> player_id, player_name, jersey_number, country<b>Player Selection(Created from StatsBomb):</b> selected, played, started, time_played, positions, main_position<b>Match performances(Created from StatsBomb):</b> pass, ball_receipt*, carry, pressure, block, ball_recovery, miscontrol, interception,foul_committed, foul_won, shot, duel, dribble, dribbled_past, clearance, dispossessed, points,nb_cards, card_type_red_card, card_type_second_yellow, card_type_yellow_card<b>Injury(Transfermarkt):</b> was_injured, Injury_index, Injury, Injury_from, Injury_until, Days, Games_missed<b>Market Value(Transfermarkt):</b> last_market_value_at_match_date_eur, last_market_value_at_match_date_index<br>Here are the sources of the differents datasets:Transfermarkt (Open Data):Wyscout : A public data set of spatio-temporal match events in soccer competitionsStatsBomb (Open Data)<br>The scientific article explaining the data set will be available soon.
DOI: 10.17632/kr78r8t7dx
title: Replication Data for: Exploring the impact of logistics service quality on customer satisfaction, trust and loyalty in bus transport

description: This dataset includes replication data for the paper: "Sann, R., Pimpohnsakun, P. and Booncharoen, P. (2024), "Exploring the impact of logistics service quality on customer satisfaction, trust and loyalty in bus transport", International Journal of Quality and Service Sciences, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJQSS-07-2023-0110"
DOI: 10.17632/tncs5bv9s7
title: High magnification Smartphone-Dermatoscope Integration: A Portable and Accessible Alternative to Super High-Magnification Videodermatoscopy

description: Supplementary material for JAAD article #JAAD-D-25-00401"High magnification Smartphone-Dermatoscope Integration: A Portable and Accessible Alternative to Super High-Magnification Videodermatoscopy"
DOI: 10.6084/m9.figshare.11900139.v1
title: Data_Sesin_etal_MBI_2020.zip

description: This zip file contains three data files:<br>1 - R Script: "R_Script_Sesin_et_al_MBI_2020_Variation in glyphosate effects and accumulation in emergent macrophytes.R"2 - Data file: "EffectData.csv"3 - Data file: "AccumulationData.csv"<br><b>Descriptions of files:</b><br><b>File 1:</b> "R_Script_Sesin_et_al_MBI_2020_Variation in glyphosate effects and accumulation in emergent macrophytes.R"<br>Complete R Script of data analysis<br><b>File 2:</b> "EffectData.csv"<br>Treatment = Applied glyphosate treatment concentration in unit % (measured concentrations)Species = Plant taxon: PA (<i>Phragmites australis</i>), TL (<i>Typha latifolia</i>), TXG (<i>Typha x glauca</i>)Shoots_Dead = Number of dead shootsShoots_Total = Number of total shoots<br><b>File 3:</b> "AccumulationData.csv"<br><br>Treatment_Nom = Applied glyphosate treatment concentration in unit % (nominal concentrations)Treatment = Applied glyphosate treatment concentration in unit % (measured concentrations)Species = Plant taxon: PA (<i>Phragmites australis</i>), TL (<i>Typha latifolia</i>), TXG (<i>Typha x glauca</i>)<br>Sample_Time = Sampling time post-application of glyphosateSample_Type = Type of sample (Vegetation, Sediment or Water)ppm_fw = Concentration in unit ppm fresh weight (mg/kg for sample types Vegetation and Sediment; mg/L for sample type Water)Substance = Glyphosate or AMPAppm_dw = Concentration in unit ppm dry weight (mg/kg; applies only to sample types Vegetation and Sediment)<br>
DOI: 10.6084/m9.figshare.22189273.v1
title: Dataset CHIKV Jaen y2023m02 [50]

description: <strong>The Chikungunya virus: A reemerging cause of acute febrile illness in the high jungle of northern Peru</strong> <strong>ABSTRACT</strong> <strong>Background</strong> The Chikungunya virus (CHIKV) is an emerging arthropod-borne virus (arbovirus) that causes undifferentiated acute febrile illness. Cases of CHIKV may be under reported in Peru, given the variety of difficulties for its diagnosis, such as lack of diagnostic tests in remote areas, passive characteristics of the epidemiological surveillance and co-circulation of other arthropod-borne pathogens. Therefore, we performed a study in the high jungle of northern Peru to identify the prevalence of CHIKV in febrile patients and describe their clinical characteristics <strong>Methods</strong> A cross sectional study was conducted in the province of Jaen, Cajamarca, located in the high jungle of northern Peru. Patients attending primary care health centers within Cajamarca’s Regional Health Direction were enrolled. This study was carried out as an aid for the national syndromic surveillance system for the diagnosis of arbovirosis in febrile patients, during the period between June 2020 through June 2021. Patients were included if they attended outpatient healthcare centers with a clinical diagnosis of acute febrile illness (AFI). Serum sample collection was performed on all patients and the diagnosis of CHIKV was performed using real-time RT-PCR and detection of IgM antibodies by ELISA assay. <strong>Results</strong> A total of 1047 patients with AFI were enrolled between June 2020 and June 2021. Identification of CHIKV was carried out in 130 patients/1047 (12.4%), of which 84/130 (64.6%) were diagnosed by RT-PCR, 42/130 (32.3%) by IgM ELISA detection and 4/130 (3.1%) by both assays. The majority of the patients with CHIKV infection corresponded to the 18-39 years old (46.9%), followed by the 40-59 years old (23.9%) and those with 60 years or older (12.3%). Also a greater proportion of female patients was identified (53.1%). The most common clinical symptoms in the whole study population were headache (85.6%), myalgias (71.3%) and arthralgias (64.9%). In the case of patients with CHIKV the most common symptoms were headache (84.6%), myalgias (72.3%) and arthralgias (65.0%). The majority of positive cases for CHIKV occurred during the months of May (23.1%), March (20.0%) and February (13.8%) of 2021. <strong>Conclusion</strong> In conclusion, we report a considerable frequency of CHIKV infections in patients with AFI from the high jungle in northern Peru. These findings should raise awareness that CHIKV is a pathogen with continuous transmission in different regions of Peru. Epidemiological surveillance should be strengthen with reliable diagnostic techniques, given that clinical symptoms may be nonspecific.
DOI: 10.6084/m9.figshare.28706732.v1
title: Data extraction table and JBI Checklist for Diagnostic Test Accuracy Studies

description: Heavy metals, common contaminants, are intensified by extractive activities and impact health. Monitoring requires costly equipment, hindering surveillance and control. It is crucial to develop rapid, accurate, and affordable devices to measure them in human samples. This scoping review aims to synthesize scientific information regarding studies using point-of-care tests (POCT) to measure heavy metals in human samples.
DOI: 10.17632/d7ffryvtjk
title: Hybrid Input-Output tables for India at year 2012

description: The IOT_IndiaVal file gives the input-output table in lakh rupees for 22 sectors The IOT_IndiaQtities gives the input-output table in quantities for 22 sectors. The energy sectors are in ktoe and the others in "pseudo-quantities". The IOT_IndiaPrices gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production and imports.
DOI: 10.17632/n4tp5zgygh
title: Professor Keshab Chandra Mondal

description:  * Production and applications of microbial enzymes for valorization of low cost agro-industrial residues is a novel concept in present day biotechnological process. A group of microbial enzymes including amylase, cellulases, keratinase, tannase, glutaminase has produced and applied in different fields. Biofuel including ethanol and butanol, oligosaccharides, oligopeptides, etc are unique products of microbial enzyme treatments.
* Traditional fermented foods are the mine of nutraceutical and very popular worldwide. The traditional process has scientifically standardized to make these food more hygienic and attractive for consumers. The concept of 'beneficial food'  has also validated in experimental model animals. The healthy food grade microbes from these foods are characterized and explored as probiotic organisms and their efficacy have been tested to ameliorate different life-style related diseases.
* Antimicrobial peptides are now highlighted as an effective alternative of commercial antibiotics. A group of antimicrobial peptides from microbes and insects have isolated, characterized and identified their mode of action to make them suitable for clinical applications.
DOI: 10.6084/m9.figshare.28473703.v1
title: Class-specific Joint Feature Screening in Ultrahigh-dimensional Mixture Regression*

description: Finite mixture of regression models are ubiquitous for analyzing complex data. They aim to detect heterogeneity in the effects of a set of features on a response over a finite number of latent classes. When the number of features is large, a direct fitting of mixture regressions can be computationally infeasible and often leads to a poor interpretative value. One practical strategy is to screen out most irrelevant features before an in-depth analysis. In this paper, we propose a novel method for feature screening in ultrahigh-dimensional Gaussian finite mixture of regressions. The new method is built upon a sparsity-restricted expectation-approximation-maximization algorithm, which simultaneously removes varying sets of irrelevant features from multiple latent classes. In the screening process, joint effects between features are naturally accounted and class-specific screening results are produced without ad hoc steps. These merits give the new method an edge to outperform the existing screening methods. The promising performance of the method is supported by both theory and numerical examples including a real data analysis. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.961812.v1
title: Metagenome assembly contig sizes

description: Metagenome assembly contig sizes
DOI: 10.17632/r5fbdpvnkk
title: Sense Identification Dataset - SID

description: The Sense Identification Dataset (SID) dataset was obtained by manually annotating the term pairs in the SemEval-2017 Task 2 English dataset (described in [1]) with sense identifiers. The original dataset contains a score expressing the human similarity rating for each term pair. For each such term pair SID adds a pair of annotated senses: in particular, senses were annotated so to be compatible with (explaining) the existing similarity ratings. The underlying rationale is that the similarity rating involves a hidden step that is a sense identification step. This task, that is searching for the sense selected at (semantic similarity) rating time, is called sense individuation task; we hypothesize that it is a fundamental (though neglected) complement of the conceptual similarity. This dataset is the first dataset designed to deal with this challenging task. As mentioned, the SID dataset contains sense identifiers for each term pair: the BabelNet sense inventory was chosen, since it is broadly adopted, and because such identifiers can be easily mapped onto further resources, such as WordNet and WikiData. [1] J. Camacho-Collados, M. T. Pilehvar, N. Collier, R. Navigli, Semeval-2017task 2: Multilingual and cross-lingual semantic word similarity, in: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017). Vancouver, Canada, 2017, pp. 6–17.
DOI: 10.17632/t367cvd9wh
title: How SAP Financial Modules Can Influence Enterprise Decision-Making

description: How SAP Financial Modules Can Influence Enterprise Decision-Making
DOI: 10.6084/m9.figshare.12429356.v1
title: Source code in R for analyses of sensitivity of shifts to time averaging from Ecological regime shift preserved in the Anthropocene stratigraphic record

description: Palaeoecological data are unique historical archives that extend back far beyond the last several decades of ecological observations. However, the fossil record of continental shelves has been perceived as too coarse (with centennial-millennial resolution) and incomplete to detect processes occurring at yearly or decadal scales relevant to ecology and conservation. Here, we show that the youngest (Anthropocene) fossil record on the northern Adriatic continental shelf provides decadal-scale resolution that accurately documents an abrupt ecological change affecting benthic communities during the twentieth century. The magnitude and the duration of the twentieth century shift in body size of the bivalve <i>Corbula gibba</i> is unprecedented given that regional populations of this species were dominated by small-size classes throughout the Holocene. The shift coincided with compositional changes in benthic assemblages, driven by an increase from approximately 25% to approximately 70% in median per-assemblage abundance of <i>C. gibba</i>. This regime shift increase occurred preferentially at sites that experienced at least one hypoxic event per decade in the twentieth century. Larger size and higher abundance of <i>C. gibba</i> likely reflect ecological release as it coincides with an increase in the frequency of seasonal hypoxia that triggered mass mortality of competitors and predators. Higher frequency of hypoxic events is coupled with a decline in the depth of intense sediment mixing by burrowing benthic organisms from several decimetres to less than 20 cm, significantly improving the stratigraphic resolution of Anthropocene fossil record and making it possible to detect sub-centennial ecological changes on continental shelves.
DOI: 10.6084/m9.figshare.12901541.v2
title: Cullin ScrollSaw Pan Eukaryota sequences.fasta

description: Protein sequences used to generate the phylogenetic tree of cullins in Eukaryota.
DOI: 10.6084/m9.figshare.22632688.v1
title: Morphology of pitaya flower and fruit measurement

description: Floral morphology and anatomical structure of <em>Hylocereus polyrhizus. </em> The fruit weight, fruit length and diameter, fruit set rate and harvesting age of pitaya pollination by <em>T. laeviceps</em> , hand pollination and natural pollination.
DOI: 10.6084/m9.figshare.23302022.v2
title: SEM images, quantitative analysis code of SEM images, and data analysis code for "Grass pollen surface ornamentation is diverse across the phylogeny: evidence from northern South America and the global literature"

description: The grasses are one of the most diverse plant families on Earth, however, their classification and evolutionary history are obscured by their pollen stenopalynous (similar) morphology. A combination of high-resolution imaging of pollen surface ornamentation and computational analysis has previously been proposed as promising tool to classify grass taxonomic boundaries. In this study, we test this hypothesis by studying Poaceae pollen across the phylogeny from plants collected in northern South America, but also from published literature across the globe. We assessed if morphotypes that we establish using descriptive terminology are supported by computational analysis, if they vary along six (a)biotic variables and how vary across the phylogeny. Based on this analysis, we constructed a reference framework for pollen surface ornamentation morphotypes. Our results showed that there is a very wide variation of grass pollen surface ornamentation. We identified nine new and six known morphotypes and established our dataset of 223 species (243 individual plant specimens) from 11 subfamilies. Computational analysis showed that our morphotypes are well-supported by two quantitative features of pollen sculptural elements (size and density). The specific dataset and mapping of the phylogeny confirmed that pollen morphological sculpture is unrelated to (a)biotic variables but is diverse across through the phylogeny.
DOI: 10.6084/m9.figshare.23650608.v1
title: Network Dissocation Data

description: De-identified data of network analysis of peritraumatic dissociation and subsequent reexperiencing symptoms of PTSD
DOI: 10.6084/m9.figshare.24942984.v1
title: 1T-NbO<sub>2</sub> CDW data

description: The crystal structure of the theoretical monolayer NbO2.
DOI: 10.17632/h5nxjdb387
title: effective elastic modulus of 3D printed plastic 2D and 3D infill patterns

description: File 1:10mm, 20mm, and 30mm refer to the analysis bandwidth.
File 2: 10%, 20%, and 30% refer to infill density, and 10mm, 17mm, and 25mm represent unit cell size. 
File 3-6: ALE means apparent longitudinal elastic modulus
DOI: 10.6084/m9.figshare.27051682.v1
title: Table1_metadata

description: The table contains information about samples id, experimental conditions, software versions used for analysis and an other features helpful in categorization.
DOI: 10.6084/m9.figshare.29071367.v1
title: Functional groups of ants in a Neotropical rainforest

description: Tropical rainforest ants are species rich, abundant and certain species ecologically dominant. Here, we focus this study on ant species living on the ground and in the leaf-litter, on understory plants and in the canopy in an Amazonian rainforest. We used only two sampling techniques, Winkler extraction for ground-dwelling ants and direct observations for understory and canopy species. This permitted us to identified 494 ant species from 10 subfamilies and 77 genera (Chao1 = 607 species, CI95% 566-670) over ≈3.0 ha.
DOI: 10.6084/m9.figshare.10636556.v1
title: LDS2.vcf

description: VCF file derived from project.NIST.hc.snps.indels.NIST7035.vcf.A disease-associated mutation in the TGFBR2 gene (see Patient 4 in PMID:30101859) was spiked into the VCF file. The file is intended to be used to test gene prioritization software.<br>
DOI: 10.6084/m9.figshare.27375723.v2
title: Data supporting the results published in V. Lucarini and M. D. Chekroun, Detecting and Attributing Change in Climate and Complex Systems: Foundations, Green's Functions, and Nonlinear Fingerprints, Phys. Rev. Lett. (2024), arXiv:2212.02628.

description: MATLAB source files for the published figures. They contain all the data in extractable and readable form. See https://uk.mathworks.com/matlabcentral/answers/100687-how-do-i-extract-data-from-matlab-figuresAdditional data are included for the PLASIM model runs. We include data from 1 of the 40 simulations with instantaneous CO2 increase. These are used for computing the Green's functions for the surface temperature field. We also include data from 1 of the 40 simulations with 1% annual increase of CO2 up to doubling used for performing the fingerprinting exercise. The theory is detailed in the text. Further details and data (storage constraints on figshare makes it impossible to upload the data from the 80 simulations) are available from the corresponding author Valerio Lucarini (v.lucarini@leicester.ac.uk).
DOI: 10.17632/h2pccwphd4
title: Vertical distributions of the water vapor in the Martian lower atmosphere (0-40 km) during MY24-MY27.

description: This dataset contains data related to the manuscript titled, “Seasonal and interannual variability of the water vapor vertical distribution in the Martian lower atmosphere.” by Pankine et al. (2024), submitted to journal Icarus. These data products include: (1) vertical profiles of water vapor mixing ratios retrieved from Mars Global Surveyor (MGS) Thermal Emission Spectrometer (TES) spectra collected during MY24-MY27; (2) zonal averages of the water vapor column abundances, and mass mixing ratios at the surface and at the pressure level 1.75 mbar, as a function of time; (3) zonally-averaged vertical distribution of water vapor for several seasons during MY24-MY27.
Acknowledgments: The development of these datasets was supported in part by the NASA’s Mars Data Analysis Program award 80NSSC19K1488 to Space Science Institute.
DOI: 10.6084/m9.figshare.21665597.v1
title: data.tar.gz

description: 1. Time histories of the instantaneous emptying rates for each Strouhal number (St) and contraction ratio (alpha). 2. Time-averaged emptying rate and mixing strength.
DOI: 10.6084/m9.figshare.28831229.v2
title: EMT.allValidPairs.hic

description: hic of our samples
DOI: 10.6084/m9.figshare.29070452.v1
title: Insights into the Activity, Production, and Signaling Circuits of Homoserine Lactones in Mammalian Cells

description: Cell-to-cell communication via metabolite-based signaling is a well-established phenomenon in bacteria, with Acyl-Homoserine Lactones (AHLs) acting as a universal signaling language. While AHLs are known for their physiological functions in bacteria, growing evidence indicates that they can also influence the behavior and viability of human and mammalian cells. This suggests a broader role for AHLs as inter-kingdom signaling molecules. To explore this further, we conducted a meta-analysis of prior research to characterize the effects of AHLs and assess their function as signaling agents. Given their evolutionary relevance and the identification of specific receptors and functional roles, we asked a critical question: could mammalian and human cells synthesize AHLs or structurally related molecules?