cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7w9mhpv5nz
title: Dermatological manifestations of acute graft versus host disease after solid organ transplantation: A systematic review

description: Figure S1. PRISMA Flow Chart Detailing Identification and Screening of Studies for Systematic Review of Dermatologic Manifestations of Acute Graft-versus-Host Disease after Solid Organ Transplantation.
Figure S2. Post-operative day of acute graft versus host disease manifestations, displayed as box-and-whisker plots by the median. Outliers were removed.
Figure S3. Kaplan-Meier survival curve as determined by transplanted organ type (Liver, other)
Supplementary Tables
Search Strategy
Bibliography
DOI: 10.17632/mz5mcyx9kh
title: HYDMATEL: a code to calculate matrix elements for hydrogen-like atoms

description: Abstract Recursion relations for determining radial matrix elements of r-dependent operators between hydrogenic wavefunctions are derived using a technique based on the hypervirial theorem along with a second quantization formalism. These expressions have been included in the program HYDMATEL, and this code is valid for both diagonal and off-diagonal matrix element calculations with no limitation on the values of the n and l quantum numbers or on the power of the operator. Title of program: HYDMATEL Catalogue Id: ACLO_v1_0 Nature of problem Many problems in atomic physics need the calculation of matrix elements for r-dependent operators. The calculation of these elements could be carried out by resolving the integral analytically, but when n is much greater than l, Gordon's formula or other analytically expanded formulae are not only hard to use, but have no numerical validity for large n due to successive cancellations between positive and negative terms. Several alternative methods have therefore been developed: asymptotic expans ... Versions of this program held in the CPC repository in Mendeley Data ACLO_v1_0; HYDMATEL; 10.1016/0010-4655(93)90174-B This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/x5mnnxr779
title: Smartphone GNSS data

description: 3 sets of GNSS data (NMEA and Raw) collected using common smartphones from 3 locations. data in compressed format.
DOI: 10.17632/x9fbvsrpbf
title: Can Dollarization Mitigate the Macroeconomic Cost of Populism? Lessons from Latin America

description: Replication files for "Can Dollarization Mitigate the Macroeconomic Cost of Populism? Lessons from Latin America"
DOI: 10.6084/m9.figshare.25249261.v1
title: Spatially resolved transcriptomic profile for C3 glomerulopathy

description: Spatial transcriptomic profiling using GeoMx Digital Spatial Profiler with formalin-fixed paraffin-embedded kidney biopsy specimens for C3 glomerulopathy and other glomerular disease controls (minimal change disease, membranous nephropathy, focal segmental glomerulosclerosis, and diabetic nephropathy).<br>Provided: complete raw transcriptomics data
DOI: 10.6084/m9.figshare.11418876.v1
title: CV Stroke.xlsx

description: Metadata for the article "Focal neocortical lesions impair distant neuronal information processing". CV is Coefficient of Variation for the neural data (spiketimes) for the recorded neurons.Column 1-2: CV for neurons recorded under the Pre-stroke and Post-stroke conditions.Column 3-4: CV for neurons recorded under the Pre-sham and Post-sham conditions.Column 5-9: Test results (Paired t-test and Wilcoxon signed rank test) for stroke and sham conditions. Also the mean and standard deviation for the datasets in column 1-4.
DOI: 10.17632/f25m8jzchx
title: PROBABILITY IMPACT MATRIX (PIM) APPROACH IN RISK ANALYSIS OF THE SELECTION OF CONTRACTORS WITH E-PROCUREMENT METHOD IN INDONESIA

description: The development of Industry 4.0 drives the implementation of electronic-based procurement, enabling more efficient and transparent procurement. This study examines the implementation of e-procurement in Indonesia called e-purchasing catalog at the Ministry of Public Works and Housing (PUPR), focusing on the perspective of 34 respondents who work as Auditor at the Supreme Audit Institution of Indonesia called BPK and actively conducting an audit at the Ministry of PUPR in 2024, performing risk analysis with Probability Impact Matrix (PIM) approach, reliability test with Cronbach’s Alpha method, and formulate Risk Response. The research identified 41 potential risk factors at six stages of procurement in Indonesia, resulting in 5 risks being classified as medium risk and 36 as high risk. The stages with the highest risk are procurement preparation and contract implementation, while the risk ranking analysis group shows two main problems: price negotiation method and quality assurance. Risk Response results in a total of 9 recommendations. One of the main recommendations is to develop a system for profiling the experience of construction service providers, and the other recommendations are related to price negotiation methods (alternative method, publishing transaction data, etc.) and quality assurance (periodic update database for vendors, conformity with e-procurement specifications).
DOI: 10.17632/zn6trh96zw
title: Long-term tectono-stratigraphic evolution of a propagating rift system, L’Aquila Intermountain Basin (central Apennines)

description: This repository contains the data supporting the research titled "Long-term tectono-stratigraphic evolution of a propagating rift system, L’Aquila Intermountain Basin (central Apennines)", published in Tectonics (DOI: 10.1029/2024TC008548)
DOI: 10.6084/m9.figshare.24453859.v1
title: ECLS_BMI_listwiseMod.RData from Early life adversity jointly regulates body-mass index and working memory development

description: Rdata file, including the main models, run on a sample with listwise deletion of subjects with missing data.
DOI: 10.6084/m9.figshare.6991322.v1
title: MangroveData.zip

description: This study demonstrates a globally applicable method for monitoring mangrove forest extent at high spatial resolution. A 2010 mangrove baseline was classified for 16 study areas using a combination of ALOS PALSAR and Landsat composite imagery within a random forests classifier. A novel map-to-image change method was used to detect annual and decadal changes in extent using ALOS PALSAR/JERS-1 imagery. The map-to-image method presented makes fewer assumptions of the data than existing methods, is less sensitive to variation between scenes due to environmental factors (e.g., tide or soil moisture) and is able to automatically identify a change threshold. Change maps were derived from the 2010 baseline to 1996 using JERS-1 SAR and to 2007, 2008 and 2009 using ALOS PALSAR. This study demonstrated results for 16 known hotspots of mangrove change distributed globally, with a total mangrove area of 2,529,760 ha. The method was demonstrated to have accuracies consistently in excess of 90% (overall accuracy: 92.2-93.3%, kappa: 0.86) for mapping baseline extent. The accuracies of the change maps were more variable and were dependent upon the time period between images and number of change features. Total change from 1996-2010 was 204,850 ha (127,990 ha gain, 76,860 ha loss), with the highest gains observed in French Guiana (15,570 ha) and the highest losses observed in East Kalimantan, Indonesia (23,003 ha). Changes in mangrove extent were the consequence of both natural and anthropogenic drivers, yielding net increases or decreases in extent dependent upon the study site. These updated maps are of importance to the mangrove research community, particularly as the continual updating of the baseline with currently available and anticipated spaceborne sensors. It is recommended that mangrove baselines are updated on at least a 5-year interval to suit the requirements of policy makers.<br><br>AcknowledgmentsThe authors are thankful to the Japanese Aerospace Exploration Agency (JAXA) for providing JERS-1/ALOS data for this study.<br>The Global Mangrove WatchThe Global Mangrove Watch (GMW) is an international science collaboration initiated in 2011 by the Japanese Space Agency. The GMW is part of the Wetlands Theme of the ALOS Kyoto & Carbon Initiative. The GMW homepage is: http://www.eorc.jaxa.jp/ALOS/en/kyoto/mangrovewatch.htm and is on Twitter as @GlobalMangroves
DOI: 10.17632/rfrw3z4hs7
title: Push test database of headed stud connectors embedded in solid concrete slabs

description: This database contains the results of 242 push tests on headed stud shear connectors embedded in solid concrete slabs. The database can be used as a basis for structural reliability analyses, or the development of machine learning models for predicting the resistance of headed stud connectors used in composite steel and concrete construction. 

For details of the changes made between the different versions of the database, please refer to the quality record sheet within the file.
 
[The database was used in the reliability analyses presented in the following paper that was published within the Journal of Constructional Steel Research https://doi.org/10.1016/j.jcsr.2017.09.018]
DOI: 10.17632/5n5rvdk242
title: Blockchain-Based E-Money System Dataset: Fast Low-Value Transaction Implementation and Testing

description: The dataset contains data from development work on an innovative cloud-based payment system using blockchain architecture. The project aimed to create a secure micropayment system designed for fast, low-value transactions, dedicated mainly to underage clients, with particular emphasis on applications in games and other types of digital publications. The development work focused on creating a solution enabling nano and micropayments (payments of very small value – where amounts are counted in single grosz, eurocents, cents), whose processing was previously unprofitable due to technological costs exceeding the transaction value. The system was specifically optimized for rapid transaction processing while maintaining low operational costs.

The dataset contains test results conducted in three main project stages:

Verification of the possibility of placing the client application in the cloud computing environment along with storing sensitive data
Testing of the IT solution prototype under laboratory conditions
Results of tests in real conditions of the integrated cloud-based payment system
The data includes raw results of system performance tests, results of external audits comparing the Billon platform with other blockchain solutions, as well as data on the effectiveness of proprietary security methods and data storage in the public cloud.

Based on the full project title, I would propose this dataset title: "Development and Testing Dataset: Blockchain-Based Electronic Money System for Fast, Low-Value Transactions
DOI: 10.17632/pn9zbwhftd
title: SVRdata

description: 243 sets of data were selected as samples for the process-composition-performance model of die casting aluminum alloy. The dataset was randomly divided into two groups: the first group of 200 samples was used for training, and the second group of 43 samples was used as a test set to verify accuracy. In the process of SVM training, small data sets are randomly divided and combined several times in order to more accurately evaluate the generalization performance of the model. Machine learning models predict yield strength and tensile strength with more than 96% accuracy using small data sets.
DOI: 10.17632/y4wx9hgbx5
title: Evaluating the Performance of ChatGPT on Dermatology Board-Style Exams: A Meta-Analysis of Text-Based and Image-Based Question Accuracy

description: 1. Supplemental Figure I: A PRISMA diagram illustrating the study selection process. This diagram shows how articles were retrieved from PubMed and SCOPUS databases, with the search terms related to ChatGPT, dermatology, and exam-style questions​.
2. Supplemental Figure II: This figure presents the total accuracy for each GPT model (ChatGPT-3, ChatGPT-3.5, and ChatGPT-4) across all the questions tested. It highlights the number of studies reporting performance for each model and provides 95% confidence intervals.
3. Supplemental Figure III: This figure breaks down the performance of each GPT model according to specific dermatology categories as per the American Board of Dermatology (ABD) criteria, including dermatopathology, general dermatology, pediatric dermatology, science research, and surgical dermatology. It also provides 95% confidence intervals for each category​.
4. Supplemental Figure IV: This figure compares the performance of each GPT model on visual versus text-based questions. Since GPT-3 and GPT-3.5 lack visual recognition capabilities, this comparison primarily focuses on the performance of ChatGPT-4 in interpreting visual questions. The figure also provides 95% confidence intervals for each performance category​
DOI: 10.17632/zwjr85ck2b
title: Data for: Creep behavior of C-S-H under different drying relative humidities: Interpretation of microindentation tests and sorption measurements by multi-scale analysis
DOI: 10.6084/m9.figshare.29146082.v2
title: FEAMDA: Fusion-based Explainable Android Malware Detection Agent with LLM Support

description: <b>FEAMDA: Fusion-based Explainable Android Malware Detection Agent with LLM Support</b> is a unified malware detection framework designed to enhance detection accuracy and interpretability by leveraging multi-modal static features and large language model (LLM)-driven reasoning.Unlike traditional detection systems that treat static code representations independently or rely on opaque deep learning models, <b>FEAMDA</b> introduces a novel <b>cross-modal fusion strategy</b>. It combines:<b>Low-level grayscale images</b> derived from DEX bytecode, which capture structural patterns (e.g., entropy, packing, code density);<b>High-level behavioral features</b> such as API call sequences and permissions, which encode the app's semantic intent.To bridge the semantic gap between these heterogeneous features, <b>FEAMDA</b> employs a <b>feature textualization approach</b>, transforming both modalities into structured natural language prompts. These prompts are processed by an LLM (e.g., DeepSeek or GPT-4o), which performs both classification and explainable reasoning.Empirical results on benchmark datasets (Drebin, AMD) demonstrate that <b>FEAMDA</b> achieves:<b>State-of-the-art detection accuracy</b> (up to 95.4%);<b>High interpretability</b> through natural language explanations (AOR &gt; 4.3);<b>Strong robustness</b> under various obfuscation techniques including symbol renaming, DEX packing, and code encryption.<b>FEAMDA</b> represents a shift from traditional black-box malware detection toward <b>LLM-augmented, semantically transparent</b> analysis agents, offering practical implications for next-generation mobile threat defense.
DOI: 10.17632/9tytvdxd24
title: Crash Cymbal Sounds

description: Audios concerning four crash cymbals collected in a recording studio through a standardized impact procedure considering two different condenser microphones and environments perspectives.
These four 18" crash cymbals are distributed into three classes referring to their bronze alloys (Cu + Sn): B8, B10 and B20.  Although two of them are similar (B8 of the same model and manufacturer), it is important to highlight that one is damaged on the edge and the other is a new one.
DOI: 10.4121/16964773.v1
title: Dataset accompanying the publication: Towards sustainable heat supply with decentralized multi-energy systems by integration of subsurface seasonal heat storage

description: This dataset contains raw model results ('SummaryFile_Raw.xlsx') from 10 different scenario's as part of a publication'Towards sustainable heat supply with decentralized mul-ti-energy systems by integration of subsurface seasonal heat storage' It is being made public to act as supplementary data for publication(s) and the PhD thesis of Els van der Roest. Also, it might be used by other researchers.<br><br>Abstract of the paper:In the energy transition, multi-energy systems are crucial to reduce the temporal, spatial and functional mismatch between sustainable energy supply and demand. Technologies as power-to-heat (PtH) allow flexible and effective utilisation of available surplus green electricity when integrated with seasonal heat storage options. However, insights and methods for integration of PtH and seasonal heat storage in multi-energy systems are lacking. Therefore, in this study, we developed methods for improved integration and control of a high temperature aquifer thermal energy storage (HT-ATES) system within a decentralized multi-energy system. To this end, we expanded and integrated a multi-energy system model with a numerical hydro-thermal model to dynamically simulate the functioning of several HT-ATES system designs for a case study of a neighbourhood of 2000 houses. Results show that the integration of HT-ATES with PtH allows 100% provision of the yearly heat demand, with a maximum 25% smaller heat pump than without HT-ATES. Success of the system is partly caused by the developed mode of operation whereby the heat pump lowers the threshold temperature of the HT-ATES, as this increases HT-ATES performance and decreases the overall costs of heat production. Overall, this study shows that the integration of HT-ATES in a multi-energy system is suitable to match annual heat demand and supply, and to increase local sustainable energy use. <br>
DOI: 10.17632/3gbyckytyj
title: Running data for USC-OTBT units in a wide load range

description: These are running data for ultra-supercritical once-through boiler-turbine units in a wide load range, and the data can be used for investigating dynamic characteristics and developing mathematical models.
DOI: 10.17632/br9dx4xh6n
title: Análisis Comparado de la Compra Pública de Innovación en Iberoamérica y Europa (2024)

description: Este conjunto de datos presenta un análisis comparativo de la normativa, plataformas electrónicas, criterios de evaluación y procedimientos asociados a la Compra Pública de Innovación (CPI) en diez países: España, Portugal, Italia, Costa Rica, Perú, Chile, Panamá, México, entre otros. La información fue recolectada mediante revisión documental de portales oficiales, leyes nacionales y directivas regionales.
DOI: 10.17632/pbwc2n7p5m
title: Dataset for Probabilistic Ultimate Strength Analysis of Cracked Marine-Grade Aluminum Stiffened Plates Using Non-Intrusive Chaotic Radial Basis Function

description: This dataset supports the research article titled "Probabilistic Ultimate Strength Analysis of Cracked Marine-Grade Aluminum Stiffened Plates Using Non-Intrusive Chaotic Radial Basis Function (NICRBF)". The central hypothesis of the study is that the ultimate strength of marine aluminum stiffened plates with pre-existing cracks, subjected to uncertain operational and material parameters, can be effectively quantified through a probabilistic computational framework combining nonlinear finite element analysis (NLFEA) with NICRBF-based uncertainty modeling.

The dataset includes input parameters, output results, finite element mesh files, and post-processed simulation data generated during the probabilistic analysis of aluminum stiffened plates with varying crack lengths, orientations, and locations. All simulations are based on a stiffened panel geometry representative of high-speed aluminum catamarans and consider realistic imperfections and mechanical properties of Aluminum 5083-H116.

Key findings derived from this dataset include:

Crack length significantly affects ultimate strength variability, with a coefficient of variation (COV) ranging from 0.27 to 0.35.

Crack orientation exhibits a non-monotonic influence on mean strength and variability, revealing complex stress redistribution mechanisms.

Crack location impacts failure probability, especially near mid-span positions.

Under sagging and hollow landing conditions, the probability of structural failure escalates with vessel speed and wave height, reaching near-certainty at design conditions in severe seas.

How the data was gathered: The ultimate strength simulations were performed using ABAQUS for NLFEA, with geometric imperfections introduced following established models (e.g., Paik’s approach). A non-intrusive uncertainty propagation framework using Chaotic Radial Basis Functions was developed in MATLAB to perform stochastic analysis on hundreds of scenarios.

How to use and interpret the data:

Files include input configurations (material properties, geometry, crack definitions), output stress-strain results, and probabilistic distribution files.

Researchers can replicate or extend the analysis by varying key parameters or integrating alternative crack modeling techniques.

Educators and students may use it to study the impact of uncertainty in marine structural design.

Designers can reference the results to develop safety criteria or operational guidelines for high-speed vessels.

This dataset provides a valuable resource for advancing reliability-based design and safety assessment of marine aluminum structures under real-world uncertainties.
DOI: 10.17632/4rrk89c3b2
title: TRTH JSE AGLJ.J Intraday Transaction Test Data

description: An example of TRTH intraday top-of-book transaction data for a single Johannesburg Stock Exchange (JSE) listed equity. The data is for teaching, learning and research projects sourced from the legacy Tick History v1 SOAP API interface from https://tickhistory.thomsonreuters.com/TickHistory in May 2016. Related raw data and similar data-structures can now be accessed using Tick History v2 and the REST API https://hosted.datascopeapi.reuters.com/RestApi/v1. Configuration control: the test dataset contains 16 CSV files with names: "__TO_.CSV" e.g. AGLJ_J_02-Jan-2014_TO_29-May-2014.csv Attributes: The data set is for the ticker: AGLJ.J from May 2010 until May 2016. The files include the following attributes: RIC, Local Date-Time, Event Type, Price at the Event, Volume at the Event, Best Bid Changes, Best Ask Changes, and Trade Event Sign: RIC, DateTimeL, Type, Price, Volume, L1 Bid, L1 Ask, Trade Sign. The Local Date-Time (DateTimeL) is a serial date number where 1 corresponds to Jan-1-0000, for example, 736333.382013 corresponds to 4-Jan-2016 09:10:05 (or 20160104T091005 in ISO 8601 format). The trade event sign (Trade Sign) indicates whether the transaction was buyer (or seller) initiated as +1 (-1) and was prepared using the method of Lee and Ready (2008). Disclaimer: The data is not up-to-date, is incomplete, it has been pre-processed; as such it is not fit for any other purpose than teaching and learning, and algorithm testing. For complete, up-to-date, and error-free data please use the Tick History v2 interface directly. Research Objectives: The data has been used to build empirical evidence in support of hierarchical causality and universality in financial markets by considering price impact on different time and averaging scales, feature selection on different scales as inputs into scale dependent machine learning applications, and for various aspects of agent-based model calibration and market ecology studies on different time and averaging scales. Acknowledgements to: Diane Wilcox, Dieter Hendricks, Michael Harvey, Fayyaaz Loonat, Michael Gant, Nicholas Murphy and Donovan Platt.
DOI: 10.17632/5wvv3fpwg3
title: Supplementary data for Lu et al "Effect of wildfires on soil nutrients, boron and lithium isotopes"

description: Supplementary data for manuscript Lu et al "Effect of wildfires on soil nutrients, boron and lithium isotopes".