cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nx2vhfyrm6.1
title: SHARE-ENV - Exposure to Environmental Hazards

description: SHARE-ENV (version 1) consists of population-weighted (_w) and unweighted variables of individual exposure to environmental hazards to be merged with the SHARE dataset. Variables are sorted into seven modules, depending on the outcomes of interest. The construction and use of the dataset are described in detail in the data descriptor article 'SHARE-ENV: A Data Set to Advance Our Knowledge of the Environment–Wellbeing Relationship', available at https://doi.org/10.1021/envhealth.3c00065.
DOI: 10.17632/4rd32h7c5s.1
title: Premature mortality in an administrative cohort of individuals living with type 2 diabetes screened for chronic kidney disease in Jalisco, Mexico 2011-2019. Evidence from a death registry analysis. Supplementary material

description: This document contains the supplementary material for the article titled “Premature mortality in an administrative cohort of individuals living with type 2 diabetes screened for chronic kidney disease in Jalisco, Mexico 2011-2019. Evidence from a death registry analysis”, accepted for publication in the Journal Salud Pública de México. 
This study aims to analyze survival outcomes and describe clinical and demographic characteristics linked to premature mortality in an uninsured population with type 2 diabetes (T2D) screened for chronic kidney disease (CKD). Our objective is to demonstrate the need for protocolized interventions for early detection, treatment, and follow-up of CKD in high-risk populations. We designed an administrative cohort by linking mortality records with data from a CKD screening campaign using a probabilistic linkage algorithm.

The supplementary material shared here is divided into three sections:
Section 1 describes the procedures used in an early CKD detection campaign, from which we obtained the database we have named T2D-CKD database in our study.
Section 2 describes Cox proportional hazards models specification. We used these models to analyze the associations between clinical and demographic characteristics at screening as covariates, and all-cause, CKD-related, and all-cause premature mortality as outcome variables.
In Section 3, we provide a supplementary table titles Clinical and demographic characteristics associated with survival in a T2D population screened for CKD. Unadjusted and adjusted Cox proportional hazards models.
DOI: 10.17632/5fk732vkwr.2
title: A dataset of Mobile application reviews for classifying reviews into software Engineering's maintenance tasks using data mining techniques

description: This dataset has been collected from two different sources. The first dataset was taken from [1] and collected by Panichella et al. We obtained this dataset from Dr. Sebastiano Panichella via email. This dataset contains reviews of the AngryBirds, Dropbox, and Evernote app, which were taken from Apple’s App Store, other reviews were taken from Android’s Google Play store such as TripAdvisor, PicsArt, Pinterest and Whatsapp. This dataset consist of with 1390 reviews from all previously mentioned apps and all reviews were classified into four classes related to Software engineering’s maintenance task as follows: 192 reviews as Feature Request (FR), 494 reviews as Problem Discovery (PD), 603 reviews as Information Gaing (IG) and 101 reviews as Information Seeking (IS). We indicate to this dataset as “Pan Dataset”. The second dataset is used in [2] and prepared by Maalej et al. It is available at Hamburg University website on this direct link (https://mast.informatik.uni-hamburg.de/app-review-analysis). The truth dataset contains 3691 reviews from different Google’s apps store and Apple’s app store. We indicate to this dataset as “maalej dataset”. All reviews were classified into four classes related to Software engineering’s maintenance task as follows: 252 reviews as Feature Request (FR), 370 reviews as bug report/Problem Discovery (BR/PD), 607 reviews as User Experience (UE) and 2461 reviews as Rating (RT)
DOI: 10.17632/834vsxnb99.3
title: Urdu News Dataset 1M

description: The dataset – A Large-Scale News Dataset for Urdu Text Processing, to the best our knowledge, is the only available large-scale dataset on Urdu lan- guage for many NLP, Machine/Deep Learning tasks: text processing, classification, summarization, Named Entity Recognition, Topic Modeling, and Text Generation. This dataset offers above 1 Million Urdu news stories text corpus for four distinct categories: Business & Economics, Science & Technology, Entertain- ment, and Sports. These four distinct categories are appropriately chosen to elim- inate any ambiguity therefore this dataset is suitable for many Urdu NLP tasks.
DOI: 10.17632/pvh6ffm7sf.3
title: The questionnaire survey of traditional architecture preliminary design workflow

description: A comparison of the time consumed by the traditional architecture preliminary design workflow and the BIM-based architecture preliminary design workflow is performed to determine the difference between the two. The time-consumption of the traditional design workflow is evaluated in the form of a questionnaire, based on feedback from industry practitioners and experts.
DOI: 10.17632/3bs5f8mvbs.1
title: Visium data on human subcutaneous white adipose tissue (scWAT)

description: The deposited data is presented in the manuscript by Bäckdahl J & Franzén L, et al., with the title "Spatial Mapping Reveals Human Adipocyte Subpopulations with Distinct Sensitivities to Insulin". Visium data in the format of Space Ranger output can be found for each individual section analysed (S41-S55), which contains raw and filtered count matrices and spatial/image data. Sample metadata contains information for each sample with linked subject information. Seurat objects containing the downstream analyses can be found as well, which for instance contains the spot clustering information presented in the article. Output data from the stereoscope analysis described in the article can be found here as well.
DOI: 10.17632/6mmd96j5bg.1
title: CLASS_CHANDRAYAAN2

description: Lunar X-ray spectral data from Chandrayaan-2 Large Area Soft x-ray Spectrometer for (1) 18 November 2019 (2) 29 May 2020 is uploaded for the purpose of access to reviewers
DOI: 10.17632/zs25xxjkm9.3
title: MIMED

description: The MIMED dataset is a dataset that provides raw electroencephalogram signal data for activities: raising the right hand, lowering the right hand, raising the left hand, lowering the left hand, standing, and sitting. In addition to raw data, this dataset provides feature data that undergoes a baseline reduction process. The baseline reduction process increases the value of EEG signal features. The feature values of the enhanced EEG signal can be easily recognized in the classification process. The device used is Emotiv Epoch X, which consists of 14 channels. Participants involved in this experiment were 30 students from the Bali region in Indonesia. Four recording scenarios were carried out on the first day and four further scenarios on the second day. Two datasets were obtained based on the recording scenario: the motor movement and image datasets. The duration of motor execution is 40 minutes, while motor imagery is 8 minutes for each scenario.
DOI: 10.17632/5v5zmpbbm5.1
title: Data for: CO2 Plume Migration and Dissolution in Layered Reservoirs

description: The .out files are TOUGH2 simulation output for the base, 200mD, 1000mD, 10 years and sand/shale cases. The .RMS files are ECLIPSE simulation output for the directional relative permeability cases.
DOI: 10.17632/nsytr4m8m8.1
title: Data for: Comparison of weight-bearing full-length radiographs and CT-scan-based 3D models in the assessment of the knee joint coronal alignment.

description: Excel table with the data analyzed for the study. Pre-operative full-leg standing radiographs (one observer in two occasions separated 6 weeks in time) and and supine non-weight-bearing computed tomography-scan-based 3D models measurements.
DOI: 10.17632/yv4fzv6cnm.5
title: A single-cell atlas of chromatin accessibility in the human genome. Zhang et al.

description: This dataset contains the numerical data used to generate the Figures in the paper titled "A single-cell atlas of chromatin accessibility in the human genome".
DOI: 10.17632/z835zbbs8g.1
title: A high-order finite-difference solver for direct numerical simulations of magnetohydrodynamic turbulence

description: This paper presents the development and validation of a Magnetohydrodynamics (MHD) module integrated into the Xcompact3d framework, an open-source high-order finite-difference suite of solvers designed to study turbulent flows on supercomputers. Leveraging the Fast Fourier Transform library already implemented in Xcompact3d, alongside sixth-order compact finite-difference schemes and a direct spectral Poisson solver, both the induction and potential-based MHD equations can be efficiently solved at scale on CPU-based supercomputers for fluids with strong and weak magnetic field, respectively. Validation of the MHD solver is conducted against established benchmarks, including Orszag-Tang vortex and MHD channel flows, demonstrating the module's capability to accurately capture complex MHD phenomena, providing a powerful tool for research in both engineering and astrophysics. The scalability of the Xcompact3d framework remains intact with the incorporation of the MHD module, ensuring efficient performance on modern high-performance clusters. This paper also presents new findings on the evolution of the Taylor-Green vortex under an external magnetic field for different flow regimes.
DOI: 10.17632/bwyhnnhvmz.1
title: Protection Trinity: Assessing the Three-tier Framework in United Nations Resolutions

description: Supplementary material and data for the article Knapp, Andrea (2024): "Protection Trinity: Assessing the Three-tier Framework in United Nations Resolutions", International Peacekeeping. For all inquiries, please refer to the author at andrea.knapp2@unibo.it
DOI: 10.17632/7h8t38yp9z.1
title: Radiotherapy practice simulation model

description: A Discrete Event Simulation patient flow model to improve understanding and operation of a radiotherapy practice.
DOI: 10.17632/ywxr56x2vv.1
title: Dataset for TLC coating method with CHT

description: The two videos provide supplementary information for the paper titled "Advancing Aerospace Maintenance: TLC Coating Method in Skin-to-Core Disbond Detection of CFRP Honeycomb Structures"
DOI: 10.17632/66tngkf6zf.1
title: Data for submission

description: Data for submission in Data in Brief
DOI: 10.17632/7tv4pvpnks.2
title: Results of petrophysical analyses from the volcano-sedimentary rocks of the Paraná-Etendeka Large Igneous Province

description: This is the supplementary file for the "Evaluating petrophysical properties of Volcano-sedimentary sequences: A case study in the Paraná-Etendeka Large Igneous Province" manuscript by Rossetti et al. This file presents the results of petrophysical analyses of a set of samples from the volcano-sedimentary sequences of the Paraná-Etendeka Large Igneous Province.
DOI: 10.17632/fbdg5tjfb6.1
title: Latin-texts Authorship evaluation

description: This data set contains Historia Augusta Lives and Ammianus Marcelinus texts used for the evaluation of authorship methods
DOI: 10.17632/bt6bkffxh9.1
title: ftint: Calculating gradient-flow integrals with pySecDec

description: The program ftint is introduced which numerically evaluates dimensionally regularized integrals as they occur in the perturbative approach to the gradient-flow formalism in quantum field theory. It relies on sector decomposition in order to determine the coefficients of the individual orders in ϵ = (4 - D)/2, where D is the space-time dimension. For that purpose, it implements an interface to the public library pySecDec. The current version works for massive and massless integrals up to three-loop level with vanishing external momenta, but the underlying method is extendable to more general cases.
DOI: 10.17632/tg3wbfb63x.1
title: Metabolic_Liver_Injury

description: To explore the intricate connections between metabolic factors and liver injury progression. This dataset includes key lipid-related markers such as triglycerides and lipoprotein(a) [Lp(a)], along with detailed clinical measurements of liver health indicators like gamma-glutamyl transferase (Gamma-GTP), glutamate pyruvate transaminase (GPT), and triglycerides serum levels.

In addition to metabolic parameters, the dataset captures the severity of liver damage through histological features such as **lobular inflammation**, **ballooning**, and **steatosis**, classified into multiple stages. The liver injury progression is further detailed through NAS (NAFLD Activity Score) and categorized by stage to assess non-alcoholic steatohepatitis (NASH) risk.

The dataset also includes drug usage data such as **statin**, **ezetimibe**, **fibrate**, and **EPA usage**, allowing researchers to investigate the effects of these medications on metabolic liver injury. Demographic variables like **gender** and **age** are included to enable the assessment of potential confounding factors.

This dataset is valuable for exploring the effects of metabolic disturbances and drug interventions on liver health, aiming to contribute to the understanding of conditions like non-alcoholic fatty liver disease (NAFLD) and NASH.

**Key Attributes:**
- Statin_Usage, Colestilan_Usage, Ezetimibe_Usage, Fibrate_Usage, EPA_Usage
- Age, Gender
- Liver enzymes: GPT, Gamma-GTP
- Lipid-related factors: Triglycerides_Serum, Lp(a)_mg_dL
- Histological markers: Lobular_Inflammation (1-3), Ballooning (1-2), Steatosis (2-3)
- Disease severity stages: NAS_Stage, Stage_Category, Group_Statin+Ezetimibe
DOI: 10.17632/2yr2m4sg7h.1
title: Differences in physicochemical properties and proteomics analysis of spray- and freeze-dried milk powders from bovine, goat, and horse source

description: Table S1. Identified milk proteins from bovine, goat, and horse milk powders between spray- and freeze-dried methods.
DOI: 10.17632/29hdbdzx2r.1
title: CSE-CIC-IDS2018

description: A cleaned version of CSE-CIC-IDS2018 dataset
DOI: 10.17632/ny225jgpwf.1
title: PCOS

description: Polycystic ovarian syndrome (PCOS) is a chronic disorder with a prevalence of 10% in women worldwide and its etiology still remains poorly understood. Insulin resistance is believed to be a main pathogenic factor involved in metabolic disturbances of PCOS. Butyrylcholinesterase (BuChE) has been shown to be linked with insulin resistance, type 2 diabetes and metabolic syndrome. Reduced activity of paraoxonase 1 (PON1) has also been reported in susceptibility to insulin resistance and the other metabolic diseases. It was to evaluate the enzymatic activity of BuChE, PON1 and their association with insulin resistance in PCOS women. In this case-control study, 56 PCOS women as the case group and 62 non-PCOS women as the control group were enrolled. Menstrual status, metabolic parameters such as fasting blood insulin (FINS), fasting blood sugar (FBS), homeostatic model assessment of insulin resistance (HOMA-IR), body mass index (BMI) was measured. Enzymatic activity of BuChE and PON1 was also measured. PCOS women had significantly higher menstrual irregularity (P=0.001), FINS (P=0.018), HOMA-IR (P=0.034) and BuChE activity (P=0.004) and lower PON1 activity (P = 0.006) than control. In PCOS women, BuChE was significantly correlated with BMI. In Insulin resistant women, BuChE activity was significantly higher in PCOS than control (P=0.012). No significant relationship was found between BuChE and PON1 activity in PCOS patients (P = 0.07). These results indicate that higher BuChE and lower PON1 activity are associated with pathogenesis of PCOS and insulin resistance could be a link for this connection.
DOI: 10.15468/dl.2kecbf
title: Occurrence Download

description: A dataset containing 15238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudotsuga menziesii (Mirb.) Franco",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 15238 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009358-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zjhzbyzhdz.1
title: Dataset Business Innovativeness and Consumer's New Values Adoption

description: Data were collected within the quantitative research paradigm using self-administered questionnaire. Items were derived from four theories as the foundation of the research, namely: (1) Diffusion of Innovation Theory ; (2) Social Learning Theory ; (3) Self-identity Theory ; and (4) Consumer-Brand Relationship. Then, each item in the questionnaire was measured using 5-scaled Likert. All respondents were required to fill-up the questionnaire in Google Form within one-week. The total of 18 items were divided into three variables: (1) Loyalty (6 items) ; (2) Involvement (6 items) and (3) New values adoption (6 items). Next, all the respondents’ responses were transferred into excel and SPSS. Procedures for data normalization were performed using Factor Analysis. The results showed all data were normal as the followings: (1) Loyalty (KMO and Barlett’s test = 0.869 ; Initial Eigenvalues = 3.463 or 57% ; Correlation is significant at the 0.01 level ; Cronbach’s alpha = 0.850) ; (2) Involvement (KMO and Barlett’s test = 0.857 ; Initial Eigenvalues =3.913 or 65.22% ; Correlation is significant at the 0.01 level ; Cronbach’s alpha = 0.8910 ; and (3) New Vaues Adoption (KMO and Barlett’s test = 0.869 ; Intial Eigenvalues = 3.756 or 62.60% ; Correlation is significant at the 0.01 level ; Cronbach’s alpha = 0.880). Lastly, two statistical methods were employed, namely: (1) Hierarchical Regression Analysis ; and (2) One-Way ANOVA. Specifically, Hierarchical Regression Analysis was used to measure the contribution  of consumer's involvement  in the dynamic interactivity between business innovativeness and consumer's new values adoption. While, One-Way ANOVA was used to measure the contribution of consumer's demographic (gender and age range) and present values in consumer's involvement.
DOI: 10.17632/htsngg9tpc.1
title: Vehicle Type Image Dataset (Version 2): VTID2

description: After creating VTID, the researchers decided to extend the collection process to create another larger dataset to add further diversity to the dataset in order to avoid data overfitting. Finally, the new dataset, called "Vehicle Type Image Dataset 2 (VTID2)", consisted of 4,356 image samples that could be separated into five vehicle type classes as follows: 1,230 sedans, 1,240 pick-ups, 680 SUVs, 606 hatchbacks, and 600 other vehicle images.
DOI: 10.17632/9n7tfyss53.1
title: Long-Term Safety and Disease Control With Ruxolitinib Cream in Atopic Dermatitis: Results From Two Phase 3 Studies

description: Supplemental Appendix for an article "Long-Term Safety and Disease Control With Ruxolitinib Cream in Atopic Dermatitis: Results From Two Phase 3 Studies"  published in the Journal of the American Academy of Dermatology
DOI: 10.17632/jx73wpcx2c.1
title: Dataset of marriages and divorces in Norway 1886 until 2018 with subsamples

description: This is data on all Norwegian two sex-marriages that was formed from 1886 to 2013, with yearly follow up for until 60 years, all together 133 cohorts and 2.7 million marriages. The data presents how many of the marriages ended by divorce for each year of follow up. The data is stored in two files. One for the total sample from 1886 until 2018 and one with more details from 1981 until 2018. The latter file has details on mean age for male and female at the time of their wedding, as well as number of divorced couples for each successive year. The 1981 -2018 file holds data on urban and rural marriages as well as four different constellations of marriages, based on prior experience of divorce. 

More details are provided in the paper "Prospective marriage and divorce data on Norwegian cohorts of two-sex marriages from 1886 until 2018"
DOI: 10.17632/kpjk7rctmw.1
title: MAR18b SS, SAOS, LAOS, UDLAOS, TRIANGLE RAMP ARESG2 Blood Rheo

description: MAR18b SS, SAOS, LAOS, UDLAOS, TRIANGLE RAMP ARESG2 Blood Rheo
DOI: 10.17632/h5y2pphkvp.2
title: Feed-forward inhibition conveys time-varying stimulus information in a collision detection circuit

description: Recordings of inhibitory medullary neurons synaptically connected to the LGMD neuron in locusts.
DOI: 10.17632/vx93gm8zgb.3
title: Accumulative allocation of water rights in the Atacama Desert (Antofagasta Region, Chile), 1905-2018

description: This dataset describes the accumulated allocation of water rights (L/s) in the Antofagasta Region (Chile) between 1905 and 2018 (Loa River and Atacama Salt Flat basins). The file contains two sheets. The first one ("Data") describes the accumulated water flow for each year according to 16 variables represented in different columns. These variables are explained in the second sheet ("Metadata"). The dataset allows the reader to characterize the process of allocation of water rights in the study area.
DOI: 10.17632/6wyjs7d6pz.1
title: Systematic review of the clinical characteristics and natural history of solar urticaria

description: Supplementary Table 1.
DOI: 10.17632/whc3nchs6k.1
title: Connectedness and risk spillovers among sub-Saharan Africa and MENA equity markets

description: This guide provides a comprehensive outline for replicating the empirical analysis on "Connectedness and Risk Spillovers among Sub-Saharan Africa and MENA Equity Markets." It includes data sources, preprocessing steps, and methodology, along with the necessary R code and data files.

Data Description
Returns Data:

File: datareturn.xlsx
Content: Daily return data for various equity markets in Sub-Saharan Africa and MENA regions.

Volatility Data:

File: vola.xlsx
Content: Daily volatility data for various equity markets in Sub-Saharan Africa and MENA regions.

Methodology
Data Preprocessing:

Ensure the dates in both datasets are aligned.
Handle any missing data by appropriate imputation or removal techniques.
Normalize the datasets if required.
Risk Spillover Analysis:

Utilize VAR (Vector Autoregressive) models to analyze the interconnectedness between markets.
Compute spillover indices to quantify the extent of risk transmission between markets.
Connectedness Measures:

Use methodologies such as Diebold-Yilmaz (2009) to measure the connectedness and spillovers among the markets.
Calculate directional spillovers to understand the flow of risk from one market to another.
DOI: 10.17632/fytt4d4fkv.1
title: Cefotaxime-resistant E. coli in pigs during slaughter

description: This cross-sectional study investigates the abundance of cefotaxime-resistant Escherichia coli (CREC) in the faeces and tonsils of 96 pigs during slaughter. Moreover, different isolates from a selected number of pigs were tested to study the diversity of blaESBL genes within E. coli isolates from one pig. Cefotaxime-resistant bacteria (CRB; based on enumeration results on MacConkey agar supplemented with 1 mg/L cefotaxime) were found in the faeces of 77 pigs (80%; 95% CI: 70 to 87%) and the tonsils of 91 pigs (95%; 95% CI: 88% to 98%). Cefotaxime-resistant E. coli (CREC; based on enumeration results on Tryptone Bile X-glucuronide agar supplemented with 1 mg/L cefotaxime) were detected in 72 faecal samples (75%; 95% CI: 64 to 83%) and 45 tonsil samples (47%; 95% CI: 35 to 59%), in numbers up to 5.5 and 5.6 log10 CFU/g, respectively. Within one sample, CREC isolates with up to five different combinations of ESBL genes were observed. In three out of 16 faecal samples and six out of 14 tonsil samples, only one ESBL gene profile was found.