cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7094354.v1
title: Antimicrobial efficacy of commercially available endodontic bioceramic root canal sealers.xlsx

description: This table give insight in antimicrobial efficacy of bioceramic root canal sealers.<br>
DOI: 10.6084/m9.figshare.12520565.v1
title: Weekly_flow state level

description: Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for monitoring and measuring the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the pandemic. In this data descriptor, we introduce a regularly updated multiscale dynamic human mobility flow dataset across the United States, with data starting from March 1st, 2020. By analysing millions of anonymous mobile phone users’ visit trajectories to various places provided by SafeGraph, the daily and weekly dynamic origin-to-destination (O-D) population flows are computed, aggregated, and inferred at three geographic scales: census tract, county, and state. There is high correlation between our mobility flow dataset and openly available data sources, which shows the reliability of the produced data. Such a high spatiotemporal resolution human mobility flow dataset at different geographic scales over time may help monitor epidemic spreading dynamics, inform public health policy, and deepen our understanding of human behaviour changes under the unprecedented public health crisis. This up-to-date O-D flow open data can support many other social sensing and transportation applications.
DOI: 10.6084/m9.figshare.7533020.v4
title: pig-growth-data-plink.zip

description: pig growth traits related dataset
DOI: 10.23641/asha.25015979.v1
title: Efficacy of amplification for tinnitus relief (Kam, 2024)

description: <b>Purpose:</b> The study aimed to evaluate the efficacy of amplification with hearing aids for people with chronic subjective tinnitus and mild hearing loss.<b>Method:</b> In this randomized, controlled, three-arm trial, 38 subjects with a primary complaint of tinnitus were randomly assigned to one of the three treatment groups. Twelve subjects received informational counselling (IC) only, 13 received IC with hearing aid fitting, and 13 subjects received IC with individualized music stimulation for 12 months. The primary efficacy analysis in tinnitus severity was based on the change from baseline to 12 months after the 1st day of the intervention. Secondary outcome measures included tinnitus impact, psychological and mental health effects, subjective ratings, and psychoacoustically measured tinnitus loudness.<b>Results:</b> A statistically significant treatment difference among the three groups in the Chinese Tinnitus Functional Index (TFI-CH) total score at the predefined end point in Month 12 was observed (<i>F</i> = 3.34, <i>p</i> = .04, partial η<sup>2</sup> = .16). Reductions in the TFI-CH scores in both the hearing aid and the customized music group were more prominent than in the IC-only group. Only the hearing aid group showed a significantly greater treatment effect than the IC-only group.<b>Conclusion:</b> Results from this study support that a combination of hearing aid use and IC can help improve tinnitus in people with mild hearing loss.<b>Supplemental Material S1. </b>Individual outcome results.Kam, A. C. S. (2024). Efficacy of amplification for tinnitus relief in people with mild hearing loss. <i>Journal of Speech, Language, and Hearing Research, 67</i>(2), 606–617. https://doi.org/10.1044/2023_JSLHR-23-00031
DOI: 10.6084/m9.figshare.21972797.v2
title: raw data.rar

description: The potential targets and pathways of PFHF in the treatment of endometriosis were predicted by network pharmacology. The effect of PFHF on the proliferation, apoptosis and cell cycle, migration and invasion of HEcESCs was detected by CCK-8 method, flow cytometry and Transwell chamber experiment. Label-free quantitative proteomics based on mass spectrometry was used to analyze the protein mass spectrum of differential expression of HEcESCs before and after PFHF, and the biological information was analyzed. The effects of PFHF on the mRNA and protein expression of pathway related genes predicted in HEcESCs were detected by reverse transcription quantitative polymerase chain reaction and Western bloting.
DOI: 10.6084/m9.figshare.25927225.v1
title: H12_W

description: Power related data for House 12
DOI: 10.6084/m9.figshare.16944913.v1
title: Supplementary Material - Ornithology in Spain: an update descriptive overview trough doctoral theses defended in last decades

description: ´This supplementary material gathered the theses reviews published in the section Review of Doctoral Theses in Ornithology in Ardeola: International Journal of Ornithology between 1990-2019 which have been used to carried out the study. The theses reviews are grouped by university and, within each university, by academic year and alphabetical order of the author.<br>
DOI: 10.6084/m9.figshare.12401561.v1
title: 9 coupled players

description: 9 coupled violin players as a function of the delay.*.aiff = raw sounds files of the experiment*. = raw data files of the parameters of the system during the experiment*.mat = analyzed data of one of the measurements showing the phase of each players<br>*.m = code file for analyzing the data and making the figure*.fig = the figure in the paper
DOI: 10.6084/m9.figshare.20419398.v6
title: "Exploring indirect effects of a classic trophic cascade between urchins and kelp on zooplankton and whales" ms data & code

description: Dataset analyzed and code in: Hildebrand L., S. Derville, I. Hildebrand, and L.G. Torres. Exploring indirect effects of a classic trophic cascade between urchins and kelp on zooplankton and whales. In Press. Scientific Reports.
DOI: 10.6084/m9.figshare.14503065.v1
title: Ips typographus genome annotations and supporting data

description: <b></b>A highly-contiguous genome assembly of the Eurasian spruce bark beetle, Ips typographus, provides insight into a major forest pest - Gene annotation file, predicted protein sequences and predicted transcript sequences. <br>
DOI: 10.6084/m9.figshare.17131496.v1
title: Crucecita 2015 flow hydrograph

description: Flow hydrographs for the Crucecita Alta catchment and El Carmen river at the fan-river junction. The hydrologic model was tested under two conditions of the curve number method.
DOI: 10.60893/figshare.apl.28075190.v1
title: revised_SM

description: Parameters used for molecular dynamics simulations and Monte Carlo method
DOI: 10.6084/m9.figshare.22642948.v1
title: NEW-DNA methylation silencing gene-20230417

description: <strong>DNA methylation and gene expression in malignant transformation of human bronchial epithelial cells induced by glycidyl methacrylate</strong>
DOI: 10.17870/bathspa.12293072.v1
title: Borderland (2016) - Guest Feature in Female Arts 2016

description: <i>Borderland</i> is a Research and Development project funded by ACE. Based on the short story <i>The Yellow Wallpaper </i>by Charlotte Gilman-Perkins, the project explores how the spectres of the past in the present impact our attitudes to women and mental illness. The project culminated in the performance of Borderland and a visual art exhibition at 44AD Gallery, Bath. <br>This item contains the text for a Guest Feature on<i> Borderland </i>for Female Arts, an online magazine featuring women in the arts. The article content is authored by Mary Steadman. <br>Image used with permission.<br>
DOI: 10.6084/m9.figshare.13055993.v2
title: Functional Linear Regression: Dependence and Error Contamination

description: Functional linear regression is an important topic in functional data analysis. It is commonly assumed that samples of the functional predictor are independent realizations of an underlying stochastic process, and are observed over a grid of points contaminated by iid measurement errors. In practice, however, the dynamical dependence across different curves may exist and the parametric assumption on the error covariance structure could be unrealistic. In this article, we consider functional linear regression with serially dependent observations of the functional predictor, when the contamination of the predictor by the white noise is genuinely functional with fully nonparametric covariance structure. Inspired by the fact that the autocovariance function of observed functional predictors automatically filters out the impact from the unobservable noise term, we propose a novel autocovariance-based generalized method-of-moments estimate of the slope function. We also develop a nonparametric smoothing approach to handle the scenario of partially observed functional predictors. The asymptotic properties of the resulting estimators under different scenarios are established. Finally, we demonstrate that our proposed method significantly outperforms possible competing methods through an extensive set of simulations and an analysis of a public financial dataset.
DOI: 10.6084/m9.figshare.27625509.v1
title: A dataset exploring urban comfort through novel wearables and environmental surveys

description: This dataset captures indoor environmental parameters, physiological responses, and subjective perceptions across three global cities. Utilizing wearable sensors, including smart eyeglasses, and a modified Cozie app, environmental and physiological data were collected, along with pre-screening, onboarding, and recurring surveys. Peripheral cues facilitated participant engagement with micro-EMA surveys, minimizing disruption over a 5-day collection period. The dataset offers insights into urban comfort dynamics, highlighting the interplay between environmental conditions, physiological responses, and subjective perceptions. Researchers can utilize this dataset to deepen their understanding of indoor environmental quality and inform the design of healthier built environments. Access to this dataset can advance indoor environmental research and contribute to the creation of more comfortable and sustainable indoor spaces.
DOI: 10.6084/m9.figshare.c.3616586_d6.v1
title: Additional file 4: Table S3. of Relative and contextual contribution of different sources to the composition and abundance of indoor air bacteria in residences

description: Sink predictions in indoor air (SourceTracker) for different indoor and outdoor sources.Â Sink predictions values were determined using SourceTracker. Higher sink prediction values for a source environment indicate a higher proportion of its OTUs in indoor air. (xlsx 43 kb)
DOI: 10.6084/m9.figshare.16961179.v1
title: Supplementary Material for: Study of Baicalin toward COVID-19 Treatment: In silico Target Analysis and in vitro Inhibitory Effects on SARS-CoV-2 Proteases

description: Negative impacts of COVID-19 on human health and economic and social activities urge scientists to develop effective treatments. Baicalin is a natural flavonoid, extracted from a traditional medicinal plant, previously reported with anti-inflammatory activity. In this study, we used pharmacophore fitting and molecular docking to screen and determine docking patterns and the binding affinity of baicalin on 3 major targets of SARS-CoV-2 (3-chymotrypsin-like cysteine protease [3CLpro], papain-like protease [PLpro], and RNA-dependent RNA polymerase). The obtained data revealed that baicalin has high pharmacophore fitting on 3CLpro and predicted good binding affinity on PLpro. Moreover, using the enzymatic assay, we examined the inhibitory effect of baicalin in vitro on the screened enzymes. Baicalin also exhibits inhibitory effect on these proteases in vitro. Additionally, we performed pharmacophore-based screening of baicalin on human targets and conducted pathway analysis to explore the potential cytoprotective effects of baicalin in the host cell that may be beneficial for COVID-19 treatment. The result suggested that baicalin has multiple targets in human cell that may induce multiple pharmacological effects. The result of pathway analysis implied that these targets may be associated with baicalin-induced bioactivities that are involved with signals of pro-inflammation factors, such as cytokine and chemokine. Taken together with supportive data from the literature, the bioactivities of bailalin may be beneficial for COVID-19 treatment by reducing cytokine-induced acute inflammation. In conclusion, baicalin is potentially a good candidate for developing new therapeutic to treat COVID-19.
DOI: 10.6084/m9.figshare.28723916.v1
title: visual-abstract-updated.svg

description: Visual abstract of DSS crops
DOI: 10.6084/m9.figshare.28790486.v1
title: Cortical_Patches_of_Space_Fig3_CaPatch

description: MATLAB data for code:https://github.com/ccg1988/Auditory_Space_Patch/tree/main/Fig2_CaPatch
DOI: 10.15468/dl.z2qwnj
title: Occurrence Download

description: A dataset containing 6480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Erannis defoliaria (Clerck, 1759)"
 ]
}

 The dataset includes 6480 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009435-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24198495.v2
title: <b>Crustal structure beneath the Namche Barwa Massif, Eastern Himalayan Syntaxis: Evidence of Magma Upwelling?</b>

description: This database includes data from dense seismic arrays, broadband seismic stations and forward modeling: Dense Seismic Array: - Files in "PRF_before_selection" are all PRF data with a=2 ("0.1-2_a2.0_M5.0_all") and a=5 ("0.1-2_a5.0_M5.0_all"). (.sac format) - Files in "PRF_after_selection" are the selected PRF data with a=2 ("a2.0_4290") and a=5 ("a5.0_4290"). (.sac format) - File "event_for_BMMT.txt" contains earthquake information used for the dense seismic array - File "BMMT_sta.txt" contains station information for the dense seismic array - Files "PRF_Num_in_each_stations.txt" in both "PRF_before_selection" and "PRF_after_selection" directories list the number of PRFs for each station. (note: you had "PRF_before_selection" listed twice) Broadband Seismic Stations: - Files in "ES33", "ES34", and "ES35" are the PRF (receiver function) data with a=2, 5, 10. (.sac format) - Files in "inner" and "outside" are the PRF data for stacking. (.sac format) - Files "Event_of_ES33.dat", "Event_of_ES34.dat", and "Event_of_ES35.dat" contain earthquake information used for the broadband seismic stations (note: you had "Event_of_ES35.dat" listed three times) - File "STA.loc" contains information about the broadband seismic stations ES33, ES34, and ES35. Forward Modeling: - Files in "result" are the simulated seismic waves. (.sac format) - Files "Par_file", "SOURCE", "STATIONS", and "interfaces" contain detailed information about the model settings.
DOI: 10.6084/m9.figshare.6743204.v1
title: Supplementary Material for: Characterization of Pattern Recognition Receptor Expression and Functionality in Liver Primary Cells and Derived Cell Lines

description: Different liver cell types are endowed with immunological properties, including cell-intrinsic innate immune functions that are important to initially control pathogen infections. However, a full landscape of expression and functionality of the innate immune signaling pathways in the major human liver cells is still missing. In order to comparatively characterize these pathways, we purified primary human hepatocytes, hepatic stellate cells, liver sinusoidal endothelial cells (LSEC), and Kupffer cells (KC) from human liver resections. We assessed mRNA and protein expression level of the major innate immune sensors, as well as checkpoint-inhibitor ligands in the purified cells, and found Toll-like receptors (TLR), RIG-I-like receptors, as well as several DNA cytosolic sensors to be expressed in the liver microenvironment. Amongst the cells tested, KC were shown to be most broadly active upon stimulation with PRR ligands emphasizing their predominant role in innate immune sensing the liver microenvironment. By KC immortalization, we generated a cell line that retained higher innate immune functionality as compared to THP1 cells, which are routinely used to study monocyte/macrophages functions. Our findings and the establishment of the KC line will help to understand immune mechanisms behind antiviral effects of TLR agonists or checkpoint inhibitors, which are in current preclinical or clinical development.
DOI: 10.6084/m9.figshare.7433966.v4
title: Slalom Anaerobic Test

description: Video showing the Slalom Anaerobic Test filmed and synchronized with left and right stroke data for power output, the bottom hand pull force and top hand push force, along with overall power output sampled at 50Hz using One Giant Leap Kayak Paddle Power-meter.<br>Additional jpg image shows stroke-by-stroke data for left and right Power Output, Pull force (Bottom hand) and Push force (Top hand). <br><br>While this data is demonstration only (participant was not one of the data sets included within the study) it serve to point out how the participant who had had major injury to the left side has been affected. <br>
DOI: 10.17632/47xp5wvbb7
title: Scientific Productivity and IP Data: Uzbekistan, Kyrgyzstan, Tajikistan, 2002–2023

description: Data desciption.
JAST, IMPORTIP, EXPORTIP, GERD are the Journal Aryicles in Basic sciences and engineering (unit), ImportIP and ExportIP are import and export of Intellectual properties (in currend US$ and GERD is Government Expenditures in Research and Development (current US$). 
Abstract.This study investigates the impact of intellectual property imports and research and development (R&D) expenditures on scientific productivity in the Central Asian countries of Uzbekistan, Kyrgyzstan, and Tajikistan. Initially, country-specific time series models were developed to explore individual dynamics; however, diagnostic tests revealed notable methodological limitations. Specifically, the Ramsey RESET test indicated specification issues in the model for Uzbekistan, while the Augmented Dickey-Fuller (ADF) test suggested non-stationarity in the series for Kyrgyzstan and Tajikistan. Additionally, data gaps for Tajikistan were identified for certain years. To address these limitations and leverage the cross-sectional and temporal dimensions of the dataset, a fixed-effects panel regression model was employed using 22 years of data spanning 2002–2023. 
Findings.
Empirical results reveal a statistically significant inverted U-shaped relationship between intellectual property imports and scientific productivity, implying a non-linear quadratic effect. Furthermore, R&D spending positively and statistically robustly influences scientific output.
DOI: 10.17632/47xp5wvbb7.1
title: Scientific Productivity and IP Data: Uzbekistan, Kyrgyzstan, Tajikistan, 2002–2023

description: Data desciption.
JAST, IMPORTIP, EXPORTIP, GERD are the Journal Aryicles in Basic sciences and engineering (unit), ImportIP and ExportIP are import and export of Intellectual properties (in currend US$ and GERD is Government Expenditures in Research and Development (current US$). 
Abstract.This study investigates the impact of intellectual property imports and research and development (R&D) expenditures on scientific productivity in the Central Asian countries of Uzbekistan, Kyrgyzstan, and Tajikistan. Initially, country-specific time series models were developed to explore individual dynamics; however, diagnostic tests revealed notable methodological limitations. Specifically, the Ramsey RESET test indicated specification issues in the model for Uzbekistan, while the Augmented Dickey-Fuller (ADF) test suggested non-stationarity in the series for Kyrgyzstan and Tajikistan. Additionally, data gaps for Tajikistan were identified for certain years. To address these limitations and leverage the cross-sectional and temporal dimensions of the dataset, a fixed-effects panel regression model was employed using 22 years of data spanning 2002–2023. 
Findings.
Empirical results reveal a statistically significant inverted U-shaped relationship between intellectual property imports and scientific productivity, implying a non-linear quadratic effect. Furthermore, R&D spending positively and statistically robustly influences scientific output.
DOI: 10.6084/m9.figshare.25283269.v2
title: Supplementary Material for: α1-antichymotrypsin complex (SERPINA3) is an independent predictor of all-cause but not cardiovascular mortality in patients hospitalized for chest pain of suspected coronary origin.

description: Introduction: 
SERPINA3 is an acute phase protein triggered by inflammation. It is upregulated after an acute myocardial infarction (AMI). Data on its long-term prognostic value in MI patients are scarce. We aimed to assess the utility of SERPINA3 as a prognostic marker in patients hospitalized for chest pain of suspected coronary origin.
Methods: 
A total of 871 consecutive patients, 386 diagnosed with AMI, were included. Stepwise Cox regression models, applying continuous loge-transformed values, were fitted for the biomarker with all-cause mortality and cardiac death within 2-years or all-cause mortality within median 7 years as dependent variables. An analysis of MI and stroke, and combined endpoints, respectively, was added. The hazard ratio (HR) (95% CI) was assessed in a univariate and multivariable model.
Results: 
Plasma samples from 847 patients were available. By 2 years follow-up, 138 (15.8%) patients had died, of which 86 were cardiac deaths. The univariate analysis showed a significant association between SERPINA3 and all-cause mortality [HR 1.41 (95% 1.19-1.68), p&lt;0.001], but not for cardiac death. Associations after adjustment were non-significant. 
By 7 years follow-up, 332 (38.1%) patients had died. SERPINA3 was independently associated with all-cause mortality from the third year onwards. The HR was 1.14 (95% CI, 1.02-1.28), p=0.022. Similar results applied to combined endpoints, but not for MI and stroke, respectively. The prognostic value of SERPINA3 was limited to non-AMI patients. No independent associations were noted among AMI patients.
Conclusions: 
SERPINA3 predicts long-term all-cause mortality, but failed to predict outcome in AMI patients.