cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gwn7ft7xyt.1
title: An open-source in vivo dynamic measurement and analysis device for mechanical properties and characterizations of human skin

description: In this work, we present an open-source in vivo dynamic measurement and analysis device for mechanical properties and characterizations of human skin. The device can measure high-frequency dynamic responses by driving a voice coil motor in sinusoidal linear motion, which transfers to the probes via a clamping mechanism. Force and displacement sensors capture stress-strain data, enabling DMA-like periodic tensile tests to characterize the material's tangential stress-strain behavior. These files include the parts designed for this specific instrument that can be manufactured and 3D-printed.
DOI: 10.17632/k28wpghcts.1
title: Metachronous peritoneal carcinomatosis after pT4 colon cancer patients

description: pT4 colon cancer has been proposed as an important risk factor for metachonous peritoneal carcinomatosis and, therefor, second look +/- HIPEC had been advocated in this context. 
Although controversy still exist, even more after the results of two randomized clinical trials designed to answer that question, epidemiologic data are quite inaccurate because they come from previous works with very heterogeneous methodology, mixing colon cancer and rectal cancer and data coming from old papers or, even being recent, papers that analyzed old cohorts.
Taking all these considerations into account we designed a study that evaluated more accurately epidemiology of metachronous peritoneal carcinomatosis in those patients with pT4 colon cancer after curative resection.
We designed an observational retrospective multicentre trial with participation of 50 different hospitals at a nationwide level.
All consecutive patients operated on because of colon cancer with curative intent, both elective and emergency operations, with pathologic confirmation of pT4 stage adenocarcinoma, were included in the database, during a three year period time (2015-2017). Colon cancer was considered as tumours located in the large bowel 15 cm above de anal verge. The exclusion criteria were as follows: patients younger than 18 years, R2 cancer resection, inclusion in other randomized clinical trials, and pathologic diagnosis of colon cancer other than adenocarcinoma, such as GIST, leiomyosarcomas, neuroendocrine tumors, or other types even more unusual. Patients with missing information were also excluded from the data analysis.
Outcome measures
The main outcome of the study was the incidence of metachronous peritoneal metastasis after curative resection for confirmed pT4 colon cancer patients and peritoneal recurrence free survival (PRFS).
Secondary outcomes were considered local and systemic recurrence incidence, mid- to long-term oncologic results in terms of disease-free survival (DFS) and overall survival (OS), analysis of associated factors with peritoneal recurrent disease and to create a stratification risk model for peritoneal recurrence based on this National Multicentre Cohort.
Statistical Method
Qualitative variables are presented with their frequency distribution. Quantitative variables are represented by their mean and standard deviation or median and interquartile range in case of asymmetry. 
Univariate analysis was performed to assess the association between the different independent variables with peritoneal disease-free survival. In order to correct for confounding factors, a multivariate analysis was performed using a Cox proportional hazard model. Variables that had a p<0.01 in the univariate analysis were included in the multivariate analysis. The selection of the definitive model was carried out using the forward stepwise method with an inclusion value in the model of p <0.05 and exclusion of p>0.10. p<0.05 was considered to indicate statistical significance.
DOI: 10.17632/vbgbm8j32f.1
title: Diagnosis data of MulmoU-Net models for prostate cancer detection and segmentation on multi-sequence MRI

description: We have developed MulmoU-Net models for prostate cancer detection and segmentation on T2-weighted imaging alone, T2-weighted imaging plus dynamic contrast-enhanced imaging, biparametric MRI, and multiparametric MRI. Raw data is presented in this publication. Clinical data was collected from patients who were on suspicion of clinically localized prostate cancer and underwent multiparametric MRI followed by MRI-ultrasound fusion targeted biopsy and systematic 12-core biopsy. Region-based sensitivity and positive predictive value of each model was analyzed using data of 664 radiologist-identified regions with PIRADS scores ≥3. Regarding the specificity and the negative predictive value, whether a region was free from disease or not was examined in each prostatic side.
DOI: 10.17632/kzk6xssx4d.1
title: ECPQIM National Data Base

description: Early Childhood Program Quality Improvement and Indicator Model National data base
DOI: 10.17632/xw8f9kkz7f.1
title: Easy creation of polymeric systems for molecular dynamics with Assemble!

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present Assemble!, a program greatly simplifying the preparation of molecular dynamics simulations of polymeric systems. The program is controlled either via command line or an intuitive Graphical User Interface, and runs on all major operating systems. Assemble! allows the creation of a desired system of polymer chains from constituent monomers, packs the chains into a box according to the required concentration and returns all the files needed for simulation with Gromacs. We illustrate t... Title of program: Assemble! Catalogue Id: AEZE_v1_0 Nature of problem Preparation of complex polymeric systems for molecular dynamics simulations with Gromacs. Versions of this program held in the CPC repository in Mendeley Data AEZE_v1_0; Assemble!; 10.1016/j.cpc.2015.12.026
DOI: 10.17632/njjhfv59cy.1
title: Transkrip - Debat Kelima Capres Indonesia 2024

description: The dataset consists of a transcript of the fifth Indonesian presidential open debate, sourced from the official YouTube channel of the General Election Commission of Indonesia. This transcript likely includes verbatim text of the speeches, responses, and interactions between the candidates during the debate. Witten in original language of Bahasa Indonesia.
DOI: 10.15468/dl.5tynyc
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus glabra Walter",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 350 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009217-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2v4m39dt3n.1
title: qvasp: A flexible toolkit for VASP users in materials simulations

description: We have developed a flexible toolkit, named qvasp (quickly use vienna ab-initio simulation package), to assist users to prepare input files and process output files for Vienna Ab-initio Simulation Package (VASP) during materials simulations. Here, we systematically introduced its design architecture and techniques, as well as how to use qvasp to save time and energy during the materials calculations. This program offers a user-friendly Linux-based command-line interface and aims to help users perform various materials simulations through VASP on high performance computing platform, such as structure optimization, single point energy, work function, electronic structure simulations, mechanical and optical property calculations. In particular, this toolkit provides the basic functions to roll up nanotube from nanosheet and cleave surface from bulk, it also provides an interface for users to customize their own workbags (such as constructing heterojunction structure). All features are designed user-friendly, elegantly and efficiently. We believe this toolkit will be helpful for the users in the field of computational materials science.
DOI: 10.17632/hzwmzs6cxp.2
title: Raw Data: Digital Marketing for Sustainable Development Purchase Intention (Sambel Pecel Mbok Be)

description: In the era of Industrial Revolution 5.0, the rapid advancement of information technology has revolutionized global business landscapes through extensive digitalization, this Raw Data open availability.
DOI: 10.17632/cb2r6hv72b.1
title: Synthetic mobile device data

description: This repository contains two synthetic mobile device datasets, one for GPS location records ("input_case1_v2.csv") and the other for cellular location records ("input_case2_v2.csv"). The two datasets are stored in CSV files. In each CSV file, there are 12 data fields, explained in the "Dictionary.docx" file. The two datasets contain the location records for 582 individual mobile devices for a month. The GPS dataset ("input_case1_v2.csv") contains 668,939 location records, and the cellular dataset ("input_case2_v2.csv") contains 61,390 location records. Using the synthetic mobile data generation method developed by Chen et al. (2014), the two datasets are generated based on two real-world data sources. The first one is mobile app data, which comes from people using location-aware mobile apps. The mobile app data encompasses both GPS and cellular data, and covers the month of March in 2019 in the central Puget Sound region. It includes 582 individual mobile device users. The second data source is household travel survey data. It covers the month of March in 2017 in the central Puget Sound region, and includes 582 survey respondents. The 582 (mobile device) users and the 582 survey respondents are randomly linked. The visited locations in the household travel survey are viewed as the ground-truth stays. Four fields of information from the mobile app data are preserved in the synthetic location records: the number of location records, and the user ID (anonymized), timestamp of each location records, and location accuracy associated with a record. If the timestamp of a location record falls within the duration of a ground-truth stay, the location record will be associated to the stay. The latitudes and longitudes of synthetic location records are generated such that their spatial distribution is the same as that from the mobile app data for a given user on a given day. The spatial distribution is measured by the distance and angle from a location record to the corresponding stay. Methods to infer stays from the mobile data is described in Wang et al., (2019), which was developed using the method developed in (Chen et al. 2014). For synthetic location records not associated to any (ground-truth) stay, their locations are random deviates from locations evenly distributed on the straight line connecting the last and the next stays, as described in Chen et al. (2014).
DOI: 10.17632/7txnwk76y5.1
title: Dataset for the Development and Pilot Testing of the Expanded Prostate Index Composite – Filipino Version (EPIC-F)

description: This dataset was generated in the development and pilot testing of the Expanded Prostate Index Composite – Filipino Version (EPIC-F). The EPIC-32 was translated into Filipino using iterative forward and backward procedures with checks for semantic congruency. The translation was then evaluated by an expert panel consisting of a prostate cancer survivor and pertinent health professionals. The linguistically validated translation was evaluated to have cultural relevancy, adequacy, and representativeness by the expert panel, and to have good understandability and answerability by a representative pilot cohort of prostate cancer patients.
DOI: 10.17632/6bc8pzffyc.1
title: Data Set for Research Article 'Financial Wealth, Investment, and Confidence in a DSGE Model for China'

description: Data Set for Research Article 'Financial Wealth, Investment, and Confidence in a DSGE Model for China'
DOI: 10.17632/rx6kpwmvtf.3
title: Illumination and gaze effects on face evaluation: the Bi-AGI Database

description: Face evaluation and first impression generation can be affected by multiple face elements such as invariant facial features, gaze direction and environmental context; however, the composite modulation of eye gaze and illumination on faces of different gender and ages has not been previously investigated. We aimed at testing how these different facial and contextual features affect ratings of social attributes. Thus, we created and validated the Bi-AGI Database, a freely available new set of male and female face stimuli varying in age across lifespan from 18 to 87 years, gaze direction and illumination conditions. Judgments on attractiveness, femininity-masculinity, dominance and trustworthiness were collected for each stimulus. Results evidence the interaction of the different variables in modulating social trait attribution, in particular illumination differently affects ratings across age, gaze and gender, with less impact on older adults and greater effect on young faces.
DOI: 10.17632/x8gp2j7n8w
title: Appendix A. Included publication. R1

description: Appendix A. Included publications for JCP.R1
DOI: 10.17632/btrrwrmt7z.1
title: 3D quantification of vascular-like structures in z-stack confocal images: Supplementary Material

description: This is an example dataset as part of the Supplementary Material for our manuscript "3D quantification of vascular-like structures in z-stack confocal images" in STAR Protocols". The dataset provides an example raw confocal image stack, demonstrates the data visualisation at major steps throughout the protocol, as well as the received output from WinFiber3D.
DOI: 10.17632/sdbzg5xhn9.1
title: Data for: Inclusion of Asparagopsis armata in lactating dairy cows' diet reduces enteric methane emission by over 50 percent

description: Raw data including dry matter intake, average milk weight, contents of milk fat, protein, lactose, solid-non-fat, milk urea nitrogen, somatic cell counts, methane emission, carbon dioxide emission and hydrogen emission.
DOI: 10.17632/k498ggvffd.1
title: JOES - Judd Ofelt from Emission Spectra Application Software

description: What is Judd-Ofelt theory? Judd-Ofelt theory has the ability to predict oscillator strengths in both absorption and luminescence, luminescence branching rations, excited state radiative lifetimes, energy-transfer probabilities and estimates of quantum efficiencies by using only three parameters. Its predictive qualities are responsible for its widespread use in all fields regarding luminescence of rare earths. Rapid increase of the importance of the field of lanthanide materials is followed by an increasing trend of number of research papers mentioning the theory. Why only europium? Europium has unique quality that Judd-Ofelt analysis can be done solely from the emission spectrum. For Judd-Ofelt of other elements from the absorption spectrum, look for the application software named RELIC. How to use it? All you need is the output file from the spectrofluorometer or a Origin file containing the spectrum intensity vs wavelength. The help file is contained within the application. Application software JOES is written in Java, and thus works on Windows, Linux or Mac OS. It is licensed under GPLv3. The application does not require installation. For Windows there are binaries available, for other platforms there are jar files. What is the app capable for? Calculate Branching ratios, Calculate Radiative transition probabilities, Calculate Cross-sections, Calculate Barycenters, Calculate Judd-Ofelt parameters Calculate CIE color space coordinates Estimate quantum efficiencies Draw CIE diagram Find Eu site symmetry Contains Refractive index database of 150 materials
DOI: 10.17632/h4n3gn93gz.2
title: CineScale2

description: Data consists of camera angle and camera level annotations for a total of 25,214 frames.
Specifically, 9,428 video frames are categorized according to their camera angle in the following five categories: Overhead, High, Neutral, Low, and Dutch angle.
The remaining 15,786 video frames are labelled into six different classes accounting for their camera level: Aerial, Eye, Shoulder, Hip, Knee, and Ground.
Both camera angle and camera level annotations were performed by a team of expert film scholars:  two independent coders and a third person who made decisions in cases of disagreement.
DOI: 10.17632/9xkhgts2s6.1
title: Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays).

description: This is a combined curated dataset of COVID-19 Chest X-ray images obtained by collating 15 publically available datasets as listed under the references section. The present dataset contains 1281 COVID-19 X-Rays, 3270 Normal X-Rays, 1656 viral-pneumonia X-Rays, and 3001 bacterial-pneumonia X-Rays. The collected datasets—as cited by this dataset—are combined to form an integrated repository. This integrated repository contains a total of 4558 COVID-19 X-Rays, 5403 Normal X-Rays, 4497 Viral pneumonia X-Rays, and 5768 bacterial pneumonia X-Rays. Out of which 1379 COVID-19 X-Rays, 1476 normal X-Rays, 2690 viral pneumonia X-Rays, and 2588 bacterial pneumonia X-Rays are found to be duplicates—based on the image similarities—and thus are removed. Inception V3 architecture is used to obtain the image embeddings, which is followed by the use of unsupervised learning algorithms based on cosine similarity distances. These distances are clustered and then visualized to find different categories of image defects which are listed below:— 1.Noise 2.Pixelated 3.Compressed 4.Medical Implants 5.Washed out image 6.Side View 7.CT (sliced) image 8.Aspect Ratio distortion / Cropped / Zoomed 9.Rotated Images 10.Images with annotations These clusters of defective images are removed during the curation process and a refined dataset is obtained which is available for download.
DOI: 10.17632/3knm93dkc5.2
title: An Image Dataset of Taro Leaf Blight Disease Collected from the West African Sub-Region

description: Taro Leaf Blight, caused by the pathogen Phytophthora colocasiae, manifests as distinct necrotic spots with white sporangia bands and orange droplets on the leaves. Thriving in temperatures between 25°C to 30°C, the disease spreads rapidly through rain splash and wind-blown spray. This blight not only reduces yields but also affects the income of smallholder farmers who depend heavily on taro cultivation. In recent years, taro yields in Africa have declined due to this disease, combined with other factors such as limited input utilization and cultivation on less fertile lands.

Early detection of Taro Leaf Blight is essential for effective management and prevention. Technologies such as smartphone-based apps, handheld spectrometers, drone-mounted sensors, and biosensors are being explored to enable real-time disease identification. These methods empower farmers to implement timely measures, thus minimizing yield losses and preserving crop quality. However, challenges like the financial barriers of advanced technologies and the need for technical knowledge pose limitations, especially for smallholder farmers in developing countries.

A critical part of combating TLB is building robust datasets for training deep-learning models for disease detection. To this end, a meticulous data collection effort was undertaken by teams in Nigeria and Ghana. This initiative focused on capturing images of taro plants at various stages of TLB infection—Taro Early Blight, Taro Mid Blight, Taro Late Blight, and Taro Healthy. The result of the initiative is the Taro Leaf Blight Disease Image Dataset. 

The dataset consists of 18,248 images. The breakdown of each class is as follows:
Taro-Late: 1,270
Taro-Mid: 3,370
Taro-Early: 4,864
Taro-Healthy: 8,744
Taro-Not-Early: 4,640 (Combination of Taro-Late & Taro-Mid)
Each image is a JPG (RGB) of size 500x500. 

Support for implementation of project activities was made possible by the Research Grant (109705-001/002) by the Responsible Artificial Intelligence Network for Climate Action in Africa (RAINCA) consortium made up of WASCAL, RUFORUM and AKADEMIYA2063 provided by IDRC.
DOI: 10.17632/pyp993dc7t.4
title: Descriptive Twin Floater98 and Aircraft in Wind Tunnel Test

description: The aerodynamic testing of the N219A aircraft test model with a catamaran floater with a scale of 1:6.3 was carried out in the wind tunnel test section of the Indonesian Low Speed Tunnel (ILST) in 2023. There were 2 measurements including forces and moments with various configurations and variations in deflection angles of the control surface and flaps. The wind speed in the test was 65 m/s. Measurement data is corrected including weight correction, zero correction, blockage correction, tare correction, and wall interference.
DOI: 10.17632/6tmczbrk98.1
title: DATA IDENTIFICATION OF BIOMASS FOR ENERGY USING NEURAL NETWORKS APPLIED TO THERMOGRAVIMETRIC CURVES

description: This work evaluates the use of TGA curve markers (similar to genetic markers) to obtain information on biomass. That is, multiple values of percentage of residual weight with respect to the initial one at specific temperatures of the TGA curve.
The shown data were obtained from the TGA analyzes for different mixtures of leaves and wood of 7 species (poplar (Populus sp.), caper (Euphorbia laurifolia), alder (Alnus acuminata), arupo (Chionanthus pubescens), cypress (Cupressus macrocarpa), eucalyptus (Eucalyptus globulus), linden tree (Sambucus nigra L.) and pine tree (Pinus radiata)) and three wood leaves mixes (100% leaf, 50% leaf and 50% wood and 100% wood). From each of the thermogravimetric curves, the residual weights of the sample at fixed temperatures have been selected (100ºC, 175ºC, 200ºC, 325ºC, 400ºC, 475ºC and 550ºC); . These weights represent the input to a neural network to identify both the species and the percentage of leaves and wood. The last sheet of the file shows the assignment of values to each species and the final combination of the mixture of leaves and wood, output of the neural network
DOI: 10.17632/fyhnb9s85z.1
title: The Gender Factor in Monetary Policy: A Database for an Event-Based Study

description: In the manuscript ‘The Gender Factor in Monetary Policy: An Event-Study Design’ we evaluate the gender factor in monetary policy. For this purpose, we considered the start of a new presidential term at a central bank as an event after which to assess possible changes in monetary policy and gender differences in these changes. To enable this type of analysis, we created a database with information on the start of the term of office of all central bankers—male or female—who served during the period 1980-2018. The file FGP_CBgender_appendix_data.dta contains this information for all central bankers of the central banks listed on the Bank for Institutional Settlements website. The data are organised by event (one row for each event). The file allows the tables in the article's appendix to be replicated using the commands in the FGP_CBgender_appendix_run.do file. 
The FGP_CBgender_paper_data.dta and FGP_CBgender_paper_run.do files provide the dataset and commands to replicate everything included in the body of the manuscript—figures and estimation results contained in the tables. The dataset only includes events that entered the estimation process, according to the selection procedure described in the manuscript (Section 3.2) and the exclusion of countries with missing data.