cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26806498.v1
title: Supplementary Material for: The Lived Experience of Patients With Chronic Kidney Disease: Insights From DISCOVER CKD

description: Introduction: Chronic kidney disease (CKD) can have a profound impact on patients’ lives. However, multinational data on patients’ lived experience with CKD are scarce. 

Methods: Individuals from the prospective cohort of DISCOVER CKD (NCT04034992), an observational cohort study, were recruited to participate in one-to-one telephone interviews to explore their lived experience with CKD. A target of 100 participant interviews was planned across four countries (Japan, Spain, the UK, and the USA). These qualitative interviews, lasting ~60–90 min, were conducted in the local language by trained interviewers with specific experience in CKD, between January and June 2023. Transcribed interviews were translated into English for coding and analysis. Data were coded using qualitative research software. 

Results: Of the 105 participants interviewed, 103 were included in the final analysis. The average time since CKD diagnosis was 9.5 years, and at least half (50.5%) of participants had CKD Stage 3A or 3B. CKD diagnosis was an emotional experience, driven by worry (n = 29/103; 28.2%) and shock (n = 26/103; 25.2%), and participants often reported feeling inadequately informed. Additional information was frequently sought, either online or via other healthcare providers. The proportion of participants reporting no impacts of CKD on their lives was highest in those with CKD Stage 1 and 2 (64.3%). Conversely, every participant in the CKD Stage 5 on dialysis group reported some impact of CKD on their lives. Across all participants, the most reported impacts were anxiety or depression (37.9%) or ability to sleep (37.9%). The frequency of the reported impacts appeared to increase with disease severity, with the highest rates observed in the dialysis group. In that group, the most frequently reported impact was on the ability to work (80.0%). 

Conclusion: Findings from this multinational qualitative study suggest that patients may experience symptoms and signs of disease prior to diagnosis; however, these are often non-specific and may not be directly associated with CKD. Once diagnosed, the burden of CKD can have a diverse, negative impact on various aspects of patients’ lives. This highlights the need for early identification of at-risk individuals, and the importance of early CKD diagnosis and management with guideline-directed therapies to either prevent further deterioration of CKD or slow its progression, thus reducing symptom burden and improving quality of life.
DOI: 10.6084/m9.figshare.13546529.v1
title: ImmuCellDB

description: This folder contains tissue immune cell compositions and gene expression profiles over different tissues and diseases or genotypes in human and mouse.<br>
DOI: 10.6084/m9.figshare.28874705.v2
title: Assessment of Microvessel Isolation Protocol by real-time Quantitative Reverse Transcription Polymerase Chain Reaction to Gauge the Level of Capillary Enrichment

description: Relative quantification of mRNA transcripts in samples generated from whole murine brain (yellow), vessels collected after enrichment (blue), and microvessels collected after enrichment and filtration (pink). mRNA samples were probed for the relative levels of Acta2, Myh11, Cnn1, Ephb4, Nrf2f, Cldn5, and Pecam1, with TATA-binding protein (Tbp) referenced as the loading control. This analysis provided greater insight into the output from each collection technique with respect to microvessel content.
DOI: 10.6084/m9.figshare.4588468.v1
title: Supplementary Material for: Comparative Anatomy of the Ovine and Female Pelvis

description: <b><i>Background:</i></b> Pelvic organ prolapse affects half of vaginally parous women. Several animal models are used to study its pathophysiology and treatment. Sheep are interesting because they develop spontaneously prolapse with similar risk factors as women and can be used for vaginal surgery. This study describes ovine pelvis anatomy and compares it to women's pelvis to provide anatomical tools for translational researchers. <b><i>Methods:</i></b> MRI, pelvic dissections, and histology were used for detailed macro- and microscopic analysis of relevant anatomical structures in 6 nulliparous ewes. <b><i>Results:</i></b> Although sheep are quadrupeds, the gross and microscopic anatomies are similar to the female pelvis. Principal differences are the shape and its orientation, the absence of the sacrospinous ligament and the internal obturator. The levator ani (except for the puborectalis) and the coccygeus muscle are present, yet the latter is more developed - coinciding with the tail. The dimensions and morphology of the ovine vagina is comparable. The retropubic and the rectovaginal space are accessible transvaginally. There is a wide expression of estrogen receptors with low or absent immunoreactivity in the urethral epithelium, bladder, anus and internal anal sphincter. <b><i>Conclusion</i></b>: The ovine pelvic floor has many anatomical and ultrastructural similarities to the female pelvic floor.
DOI: 10.6084/m9.figshare.19179158.v4
title: A quantitative data integration analysis method for cross-studies: Obstructive sleep apnea as an example

description: The Supplementary Material for this article:Supplementary Table 1 | PRISMA 2009 checklist.Supplementary Table 2 | Search strategies.Supplementary Table 3 | Research information details and indicators dataset.Supplementary Table 4 | Specific information of indicators and studies under different profile.Supplementary Table 5 | Analysis results data.
DOI: 10.6084/m9.figshare.22691332.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24899952.v2
title: Curated Dataset - Phishing Email

description: We have curated 7 repositories.The Ling and Enron datasets possess just two features: ‘Subject’ and ‘Body’. The other datasets consists of six features, namely ‘Sender’, ‘Receiver’, ‘Date’, ‘Subject’, ‘Body’, and ‘Urls’.<br>Please cite this dataset:<br>A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Curated datasets and feature analysis for phishing email detection with machine learning,” in 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI), 2024, pp. 1–7 (to appear).<br>or @inproceedings{champa2024curated, title={Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning}, author={Champa, Arifa I and Rabbi, Md Fazle and Zibran, Minhaz F}, booktitle={3rd IEEE International Conference on Computing and Machine Intelligence (ICMI)}, pages = {1--7 (to appear)}, year={2024}}
DOI: 10.17632/kwsxsr4vcm
title: cardiovascular disease Yemen

description: ‎- Collected at Algomhoryah Hospital in Aden, Republic of Yemen. Data collected ‎from March 2023 to August 2023. Comprises 74319 patient record.‎
The dataset encompasses the following attributes: age, gender, systolic blood pres-‎sure, cholesterol, glucose, and cardio, with cardio having a binary output (negative or ‎positive). In the gender column, normalization is applied, assigning 1 to males and 0 ‎to females. For the glucose column, a value of 1 indicates levels above 120, while 0 ‎signifies values below or equal to 120. Normal fasting blood glucose concentrations ‎are expected to fall between 70 mg/dL (3.9 mmol/L) and 100 mg/dL (5.6 mmol/L). ‎Regarding cholesterol, a normal total cholesterol level is below 200 mg/dL (5.17 ‎mmol/L). The cardio output is represented with 1 for positive cases and 0 for negative ‎cases
DOI: 10.17632/rszx769fn9
title: Nanopore sequencing data (Chem-CLIP-MaP-seq)

description: Data for manuscript to be published about Chem-CLIP-MaP-seq
DOI: 10.6084/m9.figshare.25749453.v3
title: Forest management induced forest productivity change and its impacts on land use and land cover change projections from 2015-2100 under SSP1-SSP5 (please use the latest version)

description: This dataset includes the forest management intensity, forest productivity, and land use land cover change (LULCC) data during 2015-2100 under SSP1-SSP5 generated by soft coupling Global Timber Model and Global Change Analysis Model.
DOI: 10.6084/m9.figshare.26003857.v1
title: AlphaFold2 animals

description: AlphaFold2 models of animal PHADs
DOI: 10.6084/m9.figshare.28200380.v1
title: all_calculations_complete.zip

description: Research Abstract:Despite their numerous advantages, organic molecular crystals are often unsuitable for photovoltaic applications due to their poor optoelectronic properties. Here we employ density functional theory to show that the combination of substitutional doping and hydrostatic pressure can effectively tune the structural, electronic, and optical properties of crystalline anthracene. Specifically, we aim to reduce the electronic band gap of crystalline anthracene in order to improve its optical absorption, so that the modified materials become suitable for use in solar cells. Our results reveal that lattice parameters and bond lengths decrease with pressure, hence strengthening interactions between atoms and narrowing the band gap. Doping also reduces the band gap significantly. In the end, three materials studied in the current research display close-to-ideal band gaps: O-doped anthracene under 8.75 GPa of pressure (1.353 eV), P-doped anthracene under 10 GPa (1.073 eV), and S-doped anthracene under 2.5 GPa (1.341 eV). Furthermore, they exhibit high absorption coefficient values on the order of 10<sup>5</sup> cm<sup>-1</sup> within the visible light range, a noteworthy improvement over pure anthracene. Therefore, we have successfully tuned the optoelectronic properties of crystalline anthracene and identified three ideal candidates for solar cell materials.
DOI: 10.17632/35735kfjnm
title: Video dataset for coding efficiency and image quality analysis containing results from standardized objective and subjective assessment methods.

description: The dataset includes video sequences encoded from raw YUV format in the following settings:
• Resolution: HD, FullHD and UHD (4K)
• Bitrate: 5, 10 and 15 Mbit/s
• Codec: H.264 (AVC) and H.265 (HEVC)
• Number of test scenes: 6
• Digital container format: .ts (MPEG transport stream)
• Packet loss rate: 0.1, 0.2, 0.3, 0.5, 0.75 and 1 %

Image quality assessment: ACR, VMAF, SSIM
DOI: 10.6084/m9.figshare.19611789.v1
title: Data for quantification of urban ecosystem services

description: Estimates of urban challenges and ecosystem service provision for global cities.
DOI: 10.6084/m9.figshare.28785449.v1
title: Pro-Kremlin and Anti-Kremlin Telegram Dataset during Russia-Ukraine Conflict.

description: The dataset includes Telegram channels with both pro-Kremlin and anti-Kremlin communications, collected over a timeframe covering one year prior to and one year following the Russian invasion. It consists of 404 pro-Kremlin channels featuring 4,109,645 posts and 114 anti-Kremlin channels containing 1,117,768 posts, all provided in JSON format. <i>anti_kremlin_channel_list</i> and <i>pro_kremlin_channel_list</i> encompasses details such as the channel name, username, Telegram link, and corresponding annotations. The overall data structure is defined in the accompanying data_schema (json) file.<br><b>Important Note:</b> For proper attribution, researchers who use this dataset in their work are invited to cite the following papers that describe this dataset and an example analysis.<br><br>Bawa, A., Kursuncu, U., Achilov, D., Shalin, V. L., Agarwal, N., & Akbas, E. (2025). Telegram as a Battlefield: Kremlin-related Communications during the Russia-Ukraine Conflict. <i>arXiv preprint arXiv:2501.01884</i>.<br><br>Bawa, A., Kursuncu, U., Achilov, D., & Shalin, V. L. (2024). the adaptive strategies of anti-kremlin digital dissent in telegram during the Russian invasion of Ukraine. <i>arXiv preprint arXiv:2408.07135</i>.
DOI: 10.6084/m9.figshare.28927358.v1
title: SPSS CT

description: <b>Analysis of different techniques for injection of the interspinal space in horses</b>
DOI: 10.1184/r1/12841247.v1
title: Insider Threat Test Dataset

description: The Insider Threat Test Dataset is a collection of synthetic insider threat test datasets that provide both background and malicious actor synthetic data.<br><br>The CERT Division, in partnership with ExactData, LLC, and under sponsorship from DARPA I2O, generated a collection of synthetic insider threat test datasets. These datasets provide both synthetic background data and data from synthetic malicious actors.For more background on this data, please see the paper, Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data.Datasets are organized according to the data generator release that created them. Most releases include multiple datasets (e.g., r3.1 and r3.2). Generally, later releases include a superset of the data generation functionality of earlier releases. Each dataset file contains a readme file that provides detailed notes about the features of that release.The answer key file answers.tar.bz2 contains the details of the malicious activity included in each dataset, including descriptions of the scenarios enacted and the identifiers of the synthetic users involved.
DOI: 10.17632/74xf64m34r
title: Windowed hypergraph Fourier transform and vertex-frequency representation

description: Python implementation related to the paper Windowed Hypergraph Fourier Transform and Vertex frequency Representation (https://doi.org/10.1016/j.sigpro.2024.109538).

Originally compiled in Spyder using Anaconda3-2021.11 software (https://repo.anaconda.com/archive/)

GitHub repository (https://github.com/AlcebiadesDalColJunior/Windowed-Hypergraph-Fourier-Transform-and-Vertex-frequency-Representation)

Code Ocean capsule (https://codeocean.com/capsule/2897183/tree)
DOI: 10.17632/hdyvztkfhv
title: A code to evaluate prolate and oblate spheroidal harmonics

description: Abstract We present a code to evaluate prolate (P^m _n (x), Q^m _n(x); n ≥ m, x &gt; 1) and oblate (P^m _n (ix), Q^m _n(ix); n ≥ m, x &gt; 0) spheroidal harmonics, that is, spherical harmonics (n and m integers) for real arguments larger than one and for purely imaginary arguments. We start from the known values (in closed form) of P^m _(m+1)and P^m ... Title of program: DPROH, DOBLH Catalogue Id: ADHD_v1_0 Nature of problem We include two codes in order to evaluate: Prolate spheroidal harmonics (subroutine DPROH) Oblate spheroidal harmonics (subroutine DOBLH) The two codes evaluate spheroidal harmonics of the first and second kinds for a given order m, from the lowest (positive) degree (n = m) to a maximum degree n = m + NMAX in the same run. The algorithms find their application in problems with prolate and oblate spheroidal geometries respectively. We show as an example the application of the ... Versions of this program held in the CPC repository in Mendeley Data ADHD_v1_0; DPROH, DOBLH; 10.1016/S0010-4655(97)00126-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/s677jds6t2
title: Dataset related to the article "Effects of training, detraining, and retraining on strength, hypertrophy, and myonuclear number in human skeletal muscle"

description: This dataset is related to the figures presented in the paper "Effects of training, detraining, and retraining on strength, hypertrophy, and myonuclear number in human skeletal muscle" published in JAPPL 2019. The dataset is provided so that interested parties can do additional analysis and interpretations. Each individual row in the Excel spreadsheet corresponds to the same subject across the tabs. Training, biopsies, 1RM and muscle thickness measurements where performed at GIH by Niklas Psilander and colleagues. Please contact Niklas regarding questions related to that dataset. Histochemical analysis were performed at NIH by Kristoffer Toldnes Cumming and colleagues. Please contact Kristoffer regarding questions related to that dataset (nuclei per fiber cross section and fiber CSA) Single fiber analysis were performed at UiO by Einar Eftestøl and colleagues. Please contact Einar regarding questions related to that dataset (nuclei per sarcomere from single fibers, volume per fiber segment and myonuclear domain size)
DOI: 10.6084/m9.figshare.14150291.v1
title: trajectory data and road network data

description: We propose trajectory compression mode constrained by network. There are some data to reproduce our research. The trajectory data is Beijing taxi trajectory from Microsoft Research Asia, and the road network data is Beijing road network from OpenStreetMap. <br>
DOI: 10.6084/m9.figshare.29083640.v1
title: Total MS data

description: 8,778 records detailing the total weight and distribution by 11 types of construction materials for building MS across 38 cities spanning from 2000 to 2020.
DOI: 10.6084/m9.figshare.4244456.v1
title: Dataset: statokinesigrams of fallers and non fallers elderly

description: 168 statokinesigrams from 24 fall prone and 60 non fall prone individuals, all &gt;65 years old. Each individual has 2 statokinesigrams, one with open eyes and one with close eyes (romberg test protocol). This dataset is linked with the paper :<br><br>"A non linear scoring approach for evaluating balance:<br>classification of elderly as fallers and non-fallers"<br><br>Julien Audiffren, Ioannis Bargiotas, Nicolas Vayatis,Pierre Paul Vidal, Damien Ricard<br><br>Plos One 2016 [To appear]<br><br><br>
DOI: 10.17632/djgkr583fc
title: TOWARDS A SUSTAINABLE ENVIRONMENT: EXAMINING THE SPATIAL VARIATIONS OF RENEWABLE ENERGY, ENVIRONMENTAL POLLUTION, AND ECONOMIC GROWTH IN EUROPE

description: This data set is use for the analysis of for the study TOWARDS A SUSTAINABLE ENVIRONMENT: EXAMINING THE SPATIAL VARIATIONS OF RENEWABLE ENERGY, ENVIRONMENTAL POLLUTION, AND ECONOMIC GROWTH IN EUROPE
DOI: 10.6084/m9.figshare.3423680.v3
title: Discussion of first draft for SED-ML/SBML Qual extension

description: The slides summarise the first proposal for a SED-ML extension to cover simulations on logical models.<br><br>The discussion took place at the HARMONY 2016 meeting, Auckland, NZ, 2016. <br><br>Slides contain a link to the Google doc that summarises the outcome of the discussion. <br>
DOI: 10.17632/9wyjpnwghk
title: Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ thermal performance and clustering in tropical high-density Singapore: Supplementary Materials

description: The following data is Supplementary Material of the manuscript: "Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ thermal performance and clustering in tropical high-density Singapore". 

This repository includes: 
1. The code in R used for performing statistical methods mentioned in the paper (i.e. Exploratory Factor Analysis, multivariate regression analysis and hierarchical clustering analysis).
2. Word file with supplementary data mentioned in the paper (Figures S1 – S3 and Tables S1 – S17).
DOI: 10.17632/wsm36g9d82
title: Data for: Escaping the Trade War: Finance and Relational Supply Chains in the Adjustment to Trade Policy Shocks

description: Replication package for: Escaping the Trade War: Finance and Relational Supply Chains in the Adjustment to Trade Policy Shocks
DOI: 10.6084/m9.figshare.1314459.v6
title: Portal Project Teaching Database

description: The Portal Project Teaching Database is a simplified version of the Portal Project Database designed for teaching. It provides a real world example of life-history, population, and ecological data, with sufficient complexity to teach many aspects of data analysis and management, but with many complexities removed to allow students to focus on the core ideas and skills being taught. The database is currently available in csv, json, and sqlite. This database is not designed for research as it intentionally removes some of the real-world complexities. The original database is published at Ecological Archives(http://esapubs.org/archive/ecol/E090/118/) and this version of the database should be used for research purposes. The Python code used for converting the original database to this teach version is included as 'create_portal_teach_dataset.py'. Suggested changes or additions to this dataset can be requested or contributed in the project GitHub repository(https://github.com/weecology/portal-teachingdb).
DOI: 10.6084/m9.figshare.23765169.v2
title: human Langerhans Islets data

description: Human Langerhans Islets data used to train a machine learning algorithm able to classify beta and alpha cells. Static autofluoresnce and FLIM data are stored in R64 files (either single-cell segmented or not) and immunosfluorescence data are present as png of tif files. Data are organized according to donor source.
DOI: 10.6084/m9.figshare.25648788.v1
title: Injuries from Transfermarkt.com

description: Injuries represent a critical aspect of the welfare and performance of players in football.To collect injury data, we used web scraping techniques to gather information on player injuries throughout their careers, directly from the Transfermarkt.com website (e.g., https://www.transfermarkt.com/lionel-messi/verletzungen/spieler/28003).<br>This dataset contains a total of +107,000 injuries accross +18,500 players from Transfermarkt.comThe injuries dataset contains the following fields:<b>Season </b>: The season during which the injury occurred.<b>Injury </b>: The type of injury the player suffered.<b>from </b>: The start date of the injury.<b>until </b>: The end date of the injury.<b>Days </b>: The number of days the player suffered from the injury.<b>Games </b><b>missed </b>: The number of games missed due to injury.<b>player</b>_<b>name </b>: The name of the player affected by the injury.<b>p</b><b>layer_</b><b>id </b>: The identifier of the player affected by the injury, which corresponds to the Transfermarkt player identifier.<b>url_injuries :</b> The url of the player's injury record.Here are the sources of the differents datasets:Transfermarkt (Open Data)Transfermarkt.com<br>The scientific article explaining the data set will be available soon