cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6458231.v1
title: Stress strain curves.zip

description: Stress-strain curve for each fibril as a two column tabulated text file. The first column is the strain in percent and the second column is the stress in Mega Pascal measured as the tension divided by the dried fibril segment cross-sectional area (File 1, COLUMN E). Each file is named using the first three columns of File 1, for example: animal 1, common digital extensor tendon, fibril 1 is 1e1.
DOI: 10.17632/schrvg5c88
title: Data for: R you ready? Using the R programme for statistical analysis and graphics

description: Supplementary files for the "R you ready? Using the R programme for statistical analysis and graphics" consist of an R script and data needed to run the CFA analysis presented in the article. We wish to propose that the use of R should become more widespread in nursing research and in this article we offer: an overview of the capabilities of R; some examples of its application in our own work; and one practical example with the concomitant R coding in order that others interested in this specific method may use that coding and use our example as an exercise.
DOI: 10.6084/m9.figshare.17091839.v1
title: Immune-related Liver Injury is a Poor Prognostic Factor in Patients with Nonsmall Cell Lung Cancer Treated with Immune Checkpoint Inhibitors

description: It remains unclear whether severe liver immune-related adverse events (liver-irAEs) can affect the prognosis in nonsmall cell lung carcinoma (NSCLC) patients. Of the 365 NSCLC patients treated with immune checkpoint inhibitors (ICIs), 19 suffered from severe liver-irAEs (grade ≥3). The median time-to-onset of liver-irAEs was 53 days postinjection of the first ICI. The progression-free survival and overall survival of the liver-irAEs group (median 69 and 262 days, respectively) were significantly worse than the nonliver-irAEs group (128 and 722 days; <i>P</i> = 0.010 and <i>P</i> = 0.007; respectively). In conclusion, liver-irAEs were associated with poor prognosis in NSCLC patients.
DOI: 10.6084/m9.figshare.25441783.v1
title: Dataset for the article titled 'Differentiating microplastics from natural particles in aqueous suspensions using flow cytometry with machine learning'

description: Measurement of model microplastics, model natural particles, and their mixtures by flow cytometry.Each CSV file contains the signal area intensities of twelve flow cytometric features.For details, please consult the readme file and the associated publication.
DOI: 10.6084/m9.figshare.13284338.v1
title: shuju

description: The population structure, pathogenicity and fungicide sensitivity of <i>Colletotrichum</i> <i>siamense</i><i> </i>from rubber tree , coffee and areca palm crops in Hainan, China were study.
DOI: 10.6084/m9.figshare.25193696.v2
title: RawData_PLOSBiology.xlsx

description: Raw data for all the stud of aerial root in sorghum for biological nitrogen fixation
DOI: 10.6084/m9.figshare.25574358.v1
title: Azobenzene trajectories, MLatom

description: trans-Azobenzene Landau-Zener NAMD trajectories ran in MLatom:1) ODM2/MRCI-SD2) AIQM1/MRCI-SDThe trajectories were propagated with the pre-release development version of MLatom which used slightly different data format for trajectories. We converted the pre-release format to the released format by replacing the json dictionary keys with the corresponding keys from the released version of MLatom wherever possible. However, in the pre-release version, only the maximum hopping probabilities were saved, and not the list of all of them as in the released version. Hence, in the converted json files, we save those maximum probabilities under the key max_hopping_probability and while in the released json files you will find all probabilities under the key hopping_probabilities.
DOI: 10.6084/m9.figshare.5123566.v1
title: Supplementary Material for: Heart Rate Response to a Timed Walk and Cardiovascular Outcomes in Older Adults: The Cardiovascular Health Study

description: <b><i>Objectives:</i></b> To determine the relationship between heart rate response during low-grade physical exertion (6-min walk) with mortality and adverse cardiovascular outcomes in the elderly. <b><i>Methods:</i></b> Participants in the Cardiovascular Health Study who completed a 6-min walk test were included. We used delta heart rate (difference between postwalk heart rate and resting heart rate) as a measure of chronotropic response and examined its association with (1) all-cause mortality and (2) incident coronary heart disease event, using multivariable Cox regression models. <b><i>Results:</i></b> We included 2,224 participants (mean age 77 ± 4 years; 60% women; 85% white). The average delta heart rate was 26 beats/min. Participants in the lowest tertile of delta heart rate (&lt;20 beats/min) had higher risk-adjusted mortality [hazard ratio (HR) 1.18, 95% confidence interval (CI) 1.00–1.40] and incident coronary heart disease (HR 1.37, 95% CI 1.05–1.78) compared to subjects in the highest tertile (≥30 beats/min), with a significant linear trend across tertiles (p for trend &lt;0.05 for both outcomes). This relationship was not significant after adjustment for distance walked. <b><i>Conclusion:</i></b> Impaired chronotropic response during a 6-min walk test was associated with an increased risk of mortality and incident coronary heart disease among the elderly. This association was attenuated after adjusting for distance walked.
DOI: 10.6084/m9.figshare.14784981.v1
title: 2021_EM_Original_CT_Data

description: COLLECTION TITLE:2021_MezzengaEmilio_Collection1<br>CATEGORY:Medical Physics<br>KEYWORDS:SPECT/CT; 3D-OSEM reconstruction; radiomics; lutetium; calibration phantom.<br>ARTICLE (when using these files, please, cite the following article):"E. Mezzenga et al. Reconstructed SPECT images of 177Lu homogeneous cylindrical phantom used for calibration and texture analysis. 2021"<br>FILE NAMES:All the files in this collection follow this nomenclature: 1. "Starting_data_not_reconstructed"”: the folder contains two subfolders were the SPECT and CT phantom acquisitions are separated.In particular, the CT folder is named “CT_data”, and the SPECT one is named “SPECT_data”. In the former folder, the CT sequence of the phantom is named as: “CTxxx.dcm”, with xxx=001, 002,…, 108.In the latter there are three DICOM files related to the SPECT acquisition.In particular, the triple window (TW) file (“TW.dcm”), the lower scatter window (LScW) file (“LScW.dcm”), and the higher scatter window (HScW) file (“HScW.dcm”).The TW file contains all three acquisition windows (i.e. photopeak, high and low scatter), while LScW and HScW contain the lower and higher scatter acquisition window, respectively.2. "Reconstructed_data":it contains two subfolders related to the reconstructed CT datasets (named: “Isotropic_CT”) and reconstructed SPECT acquisition (named: “Isotropic_NM”).Both reconstructions have the same voxel dimension. In the former folder, the CT reconstructed file are named as: “IsotropicCT001_CTyyy.dcm”, with yyy=001, 002,…, 182.The latter folder contains five subfolders, each one referring to the number of subsets used in the SPECT image reconstruction process, and named “zz_SUBSETS”, with zz=05, 10, 15, 20 and 30. Each subfolder contains the SPECT reconstructed images with the same number of subsets, but different number of iterations and are named as “IsotropicNMxxSyyI_DS.dcm”, with xx=05, 10, 15, 20 and 30, and yy=01, 02, 03, 04, 05, 06, 07, 10, 15, 20, 25, 30, 35, 40, 45, 50. <br>MAIN CONTACT:- Emilio Mezzenga, Medical Physics Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori “Dino Amadori”, Meldola, Italy.Email: emilio.mezzenga@irst.emr.it<br>COPYRIGHT:* Copyright (c) 2021,* IRCCS IRST Meldola, Italy,* All rights reserved.** This material is free; you can redistribute it and/or modify it under the terms of the CC BY 4.0.* This material is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
DOI: 10.6084/m9.figshare.23896764.v2
title: data&code.zip

description: The original data and code for the manuscript "Structures of Lateral flow and turbulence in a breaking tidal bore rushing through a curved channel of the Qiantang Estuary".
DOI: 10.6084/m9.figshare.26342656.v1
title: Supplementary Information

description: Clinical information regarding subjects listed in Table 2.
DOI: 10.17632/p7xw6yvd5c
title: Data for: Tat will tell: Tattoos and time preferences

description: Dataset in Stata 10 format, collected from incentivized experiments and survey.
DOI: 10.17632/w78tyrjz4z
title: VPAgs-Dataset4ML: A Dataset to Predict Viral Protective Antigens for Machine Learning-Based Reverse Vaccinology

description: This dataset contains 2,145 viral protein sequences, with positive.fasta containing 210 protective antigens (PAgs) and negative.fasta containing 1,935 non-protective protein sequences. The PAgs are the result of quality checks performed on viral PAgs from the publicly available Protegen database. The non-protective protein sequences were chosen using computational steps carried out on viral protein sequences in UniProt, a well-known and freely accessible protein sequence database. Researchers may benefit from VPAgs-Dataset4ML in developing machine learning models to predict viral protective antigens as potential vaccine candidates. This information could be used by vaccinologists to help develop effective vaccines that could help save patients' lives.
DOI: 10.6084/m9.figshare.12730919.v1
title: Case Numbers and Mortality in US Data Extraction.xlsx

description: The state level data contains different factors from population density, comorbid conditions and social distancing score.
DOI: 10.6084/m9.figshare.13474893.v1
title: FACS surface marker expression and single cell culture outcomes

description: CSV file with FACS index marker intensities of founding cells and cell types generated by these cells in culture
DOI: 10.6084/m9.figshare.14071280.v2
title: Broadly distributed but genetically fragmented: Demographic consequences of Pleistocene climatic oscillations in a common Iberian grasshopper

description: <b>Samples.xlsx</b>: Description of individual and population codes used in the different analyses and genomic datasets. <b><br></b><b>EnvironmentalData.xlsx</b>: Environmental data and genetic diversity statistics for each studied population. <b><br></b><b>p14r05m5minMAF001.str</b>: Input file used to perform genetic clustering (STRUCTURE and DAPC) and principal component analyses (PCA). <b><br></b><b>FASTSIMCOAL2.zip</b>: This ZIP folder contains input files for demographic analyses in FASTSIMCOAL2. Analyses were run fixing the effective population size of each deme (NW, CS and NE populations). <b><br></b><b>LayersENM.zip</b>: This ZIP folder contains raster maps (TIF format) derived from environmental niche models (ENM). Raster maps were obtained by projecting the ENM from MAXENT to current bioclimatic conditions (CURRENT), last glacial maximum (LGM, 21 ka) bioclimatic conditions derived from the MIROC-ESM general atmospheric circulation model (MIROC), and LGM bioclimatic conditions derived from the CCSM4 general atmospheric circulation model (CCSM). <b><br></b><b>STAIRWAYPLOT.zip</b>: This ZIP folder contains input files for demographic reconstructions in STAIRWAY PLOT for each studied population.<br> <b>MMRR.zip</b>: This ZIP folder contains genetic differentiation (FST) and distance matrices (geographic, environmental, topographic, and resistance distances) used in Multiple Matrix Regression with Randomization (MMRR) analyses.<br><b>Occurrence.csv</b>: Occurrence data used for environmental niche modelling (ENM).
DOI: 10.6084/m9.figshare.26764648.v1
title: The Relationship Between Hue of Light Pollution and the Visibility of Celestial Bodies

description: This study investigates the impact of different hues of artificial lighting on the visibility of celestial bodies. Light pollution has been recognized for its adverse effects on ecological systems, human health, and astronomical observations. This research examines how various LED colors—white, blue, green, red, yellow, and magenta—affect the visibility of stars. Using a LED lantern with colored filters, the study simulated ambient light pollution and measured its effects on the visibility of selected stars. Data analysis revealed that warmer colors (e.g., red and yellow) tend to result in less light pollution and better visibility compared to cooler colors (e.g., blue and magenta). The study suggests that implementing warmer-toned LEDs could mitigate light pollution. <br>
DOI: 10.6084/m9.figshare.27284859.v3
title: GeoGraphNetworks: Shapefile-Derived Datasets for Accurate and Scalable Graphical Representations

description: The GeoGraphNetworks data repository provides a comprehensive collection of networks, including the road and railway networks of the United States of America (USA) and the road and river networks of Great Britain (GB). This dataset offers nationwide coverage for both countries.The networks representing the road infrastructure of the USA include primary and secondary roads, covering all 50 states, 1 federal district (Washington, D.C.), and 5 territories, resulting in a total of 56 networks. The rail line infrastructure of the USA is represented as a single network that covers the entire country and includes connectivity to Canada. A total of 114 files , including 57 in Excel (.xlsx) format and 57 in JSON format, representing a total of 56 road networks and 1 rail network.Great Britain dataset comprises a comprehensive collection of 106 files, including 53 in Excel (.xlsx) format and 53 in JSON format, representing a total of 53 unique networks, 52 road networks and 1 river network. Each file is named with a unique code assigned by Ordnance Survey, which systematically divides Great Britain into 100 km by 100 km tiles (https://www.ordnancesurvey.co.uk/documents/product-support/user-guide/os-open-roads-overview.pdf).It allows researchers, urban planners, and anyone interested to explore how these networks connect people and places. With GeoGraphNetworks, you can easily analyze the travel routes and waterways that play a crucial role in the transportation systems of GB and the USA.The JSON files contain graph objects created using the widely used Python library NetworkX, allowing for immediate use without the need for pre-processing. Meanwhile, the Excel files are designed to support the construction of these graph networks across various platforms and programming languages, providing users with flexibility and ease of integration into their projects. This ensures that whether you're a developer, researcher, or data analyst, you can leverage this dataset effectively in your work.<br>Visual representation of each network along with the code to use these networks (in Notebooks) are hosted on the Github Profile: https://github.com/Harsh9650/GeoGraphNetworks
DOI: 10.6084/m9.figshare.3438656.v1
title: Longitudinal data from MRET study

description: Prosaccade and antisaccade latency and directional error rate data for cerebral malaria survivors and controls.
DOI: 10.6084/m9.figshare.3487685.v7
title: TCGA Pan-Cancer sample, expression, and mutation data for Project Cognoma

description: The following datasets were created for Project Cognoma:<br>`expression-matrix.tsv.bz2` is a sample × gene matrix indicating a gene's expression level for a given sample. This dataset will be the feature/x/predictor information for Project Cognoma.<br>`expression-genes.tsv` provides information and summary statistics for every gene in `expression-matrix.tsv.bz2`.<br>`mutation-matrix.tsv.bz2` is a sample × gene matrix indicating whether a gene is mutated for a given sample. Select columns (or unions of several columns) in this dataset will be the status/y/outcome for Project Cognoma.<br>`mutation-genes.tsv` provides information and summary statistics for every gene in `mutation-matrix.tsv.bz2`.<br>`samples.tsv` is a sample × attribute matrix providing sample information and clinical measures for each sample.<br>`covariates.tsv` is a sample × attribute matrix for modeling that encodes categorical variables in samples.tsv using dummies.<br>All datasets contain the same samples as rows (in the same order). No two samples correspond to the same patient.<br>The data was retrieved from the UCSC Xena Browser.<br>These datasets were created by the GitHub repository commit below. See the download directory of the cancer-data repository for metadata files with the version info for the Xena downloads this release is based on.<br>See the data/subset directory of the cancer-data repository on GitHub to browse small subsets of the expression and mutation datasets.
DOI: 10.6084/m9.figshare.1501115.v1
title: Human Synthetic Lethal Predictions (3/3)

description: This is file 3/3 containing all filtered human predictions of synthetic lethality using the SINaTRA algorithm. Files are GZipped, tab-delimited text files with the following columns: Gene_ID_1/Gene_ID_2/SINaTRA_Score
DOI: 10.6084/m9.figshare.25108262.v1
title: Supplementary Material for: Optimizing post-acute coronary syndrome (ACS) dyslipidemia management: Insights from the North American Acute Coronary Syndrome ACS Reflective III

description: Background: Despite contemporary practice guidelines, a substantial number of post-acute coronary syndrome (ACS) patients fail to achieve guideline-recommended LDL-C thresholds. Our study aims to objectively investigate this evidence-to-practice care gap. Specifically, we aim to identify opportunities where additional lipid-lowering therapies are indicated and explore reasons for the non-prescription of guideline-recommended therapies.

Methods: ACS patients with LDL-C ≥1.81 mmol/L (70 mg/dL) despite maximally tolerated statin ± ezetimibe therapy (including those intolerant of ≥2 statins) were enrolled 1-12 months post-event from 27 Canadian and United States (U.S.) sites from September 2018 to October 2020 and followed up for three visits during the 12 months post-event. We determined the proportion of patients who did not achieve Canadian/U.S. guideline-recommended LDL-C thresholds, the number of patients who would have been eligible for additional lipid-lowering therapies, and reasons behind lack of escalation in lipid-lowering therapies when indicated. Individual patient and aggregate practice feedback, including guideline-recommended intensification suggestions were provided to each physician.

Results: Of the 248 patients enrolled in the pilot study (median age 64 [57, 73] years, 31.5% ¬¬¬¬-female and STEMI 27.4%), 75.4% were on high-intensity statins on the first visit. 18.5% of those who attended all 3 visits had an LDL-C measured only at the first visit which was above the threshold. After one year of follow-up, 51.9% of patients achieved LDL-C thresholds at either visit 2 or 3. In the context of feedback reminding physicians about guideline-directed LDL-C-modifying therapy in their individual participating patients, we observed an increase in the use of ezetimibe and PCSK9 inhibitor therapy at 3-12 months. This was associated with a significant lowering of the mean LDL-C (from 2.93 mmol/L [baseline] to 2.09 mmol/L [3-6 months] to 1.87 mmol/L [6-12 months]) and a significantly greater proportion of patients (from 0% [baseline] to 38.6% [3-6 months] to 53.4% [6-12 months]) achieving guideline-recommended LDL-C thresholds. The most prevalent reasons behind the non-intensification of LDL-C lowering therapy with ezetimibe and/or PCSK9i were LDL-C levels being close to target, the pre-existing use of other lipid-lowering therapies, patient refusal, and cost. 

Conclusion: Although most patients post-ACS are on high-intensity statin therapy, almost 50% failed to achieve guideline-recommended LDL-C thresholds by 1-year follow-up. Furthermore, additional lipid-lowering therapies in this high-risk group were underprescribed, and this may be linked to several factors including potential gaps in physician knowledge, treatment inertia, patient refusal, and cost.
DOI: 10.6084/m9.figshare.29033291.v2
title: R-CRYSTALS with 10 Initial Materials

description: CIF and XYZ data for R-CRYSTALS10 dataset including Ag, Au, CH_3NH_3PbI_3, Fe_2O_3, MoS_2, PbS, SnO_2, SrTiO_3, TiO_2, ZnOhttps://github.com/KurbanIntelligenceLab/R-CRYSTALS
DOI: 10.6084/m9.figshare.29134904.v6
title: Survey Data of Tourists in Digital Cultural Tourism Complexes

description: Survey Data of Tourists in Digital Cultural Tourism Complexes
DOI: 10.17632/h2c2w5sgbx
title: Automating Knowledge: A Case Study of Library Automation in of College Libraries of Dadra and Nagar Haveli

description: Research Design:
Mixed-methods approach, combining quantitative and qualitative methods.
Data Collection:
- Survey questionnaire (Google Forms) with 500 respondents from 10 college libraries.
- In-depth interviews with 20 librarians and library administrators.
- Observational studies in 5 college libraries.
Data Analysis:
- Descriptive statistics (mean, median, mode, standard deviation).
- Inferential statistics (t-tests, ANOVA).
- Thematic analysis for qualitative data.
Instruments and Software:
- Google Forms
- Microsoft Excel
- SPSS
- NVivo
Protocols:
- Survey protocol: pilot-tested with a small group.
- Interview protocol: used an interview guide.
Workflows:
- Data cleaning and validation.
DOI: 10.17632/v4t59p8w4z
title: HPO concept recognition

description: See the details on https://github.com/cskyan/PhenoRerank#locate-the-pre-generated-dataset
DOI: 10.6084/m9.figshare.19634544.v2
title: Fig. 4.xlsx

description: Fig. 4.xlsx
DOI: 10.6084/m9.figshare.22580473.v7
title: Global Urban Network SVI Data

description: This data set contains street view segmentation indices for 50 global cities. We employ Meta's Mask2Former approach (Cheng, 2022) for image segmentation. 
<br>
We obtain SVI from Mapillary which is the world's largest platform for free and open street view imagery (SVI). Till date, Mapillary's coverage has penetrated most global cities around the world.
Compared to other proprietary options such as Google Street View, Mapillary images are hosted on a CC-BY-SA 4.0 licence, which allows users to freely share, use, and adapt images.
<br>
Images are subsampled proportionately based on geographic tiling of each city's administrative boundary and filtered to remove non-frontal facing and non-daylight images.
<br>
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DOI: 10.17632/5pr3vz6gvr
title: CRITICAL EVALUATION OF CONSENT TO MEDICAL TREATMENT FOR MINOR CHILDREN

description: Even though the English legal framework provides for the basis and foundation of addressing consent to the healthcare treatment of minors, there exist significant complexities, challenges, and ambiguities in reconciling parental responsibilities for the best interest of the child. This study aims to illustrate that although parental consent is a fundamental aspect of making healthcare decisions for children, there is a requirement for more explicit guidelines and improved practices to ensure that medical professionals can effectively fulfil their responsibilities while protecting the independence and well-being of underage patients.