cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/8n3zrb
title: Application of Polynomial Collocation Method Based on Successive Integration Technique for Solving Delay Differential Equation in Parkinson’s Disease

description: Abstract
Background/Objective: Parkinson’s disease (PD) is a neurological disorder that is often prevalent in elderly people. This is induced by the reduction or loss of dopamine secretion. The main objective of this work is to apply the polynomial collocation method using successive integration technique for solving delay differential equations (DDEs) arising in PD models. Methods: The polynomial collocation method based on successive integration techniques is proposed to obtain approximate solutions of the PD models. In this study, the most widely used classical orthogonal polynomials, namely, the Bernoulli polynomials, the Chebyshev polynomials, the Hermite polynomials, and the Fibonacci polynomials are considered. Findings: Numerical examples of two PD models have been considered to demonstrate the efficiency of the proposed method. Numerical simulations of the proposed method are well comparable to the simulation by step method using Picard approximation. Novelty: The numerical simulation demonstrates the reliability and efficiency of the proposed polynomial collocation method. The proposed method is very effective, simple, and suitable for solving the nonlinear DDEs model of PD and similar real-world problems exist in different fields of science and engineering.

Keywords: Polynomial collocation method, Successive Integration Technique, Delay differential equation, Parkinson's disease, Simulation
DOI: 10.7910/dvn/e2bv85
title: Labeling Social Media Posts: Does Showing Coders Multimodal Content Produce Better Human Annotation, and a Better Machine Classifier?

description: The increasing multimodality (e.g., images, videos, links) of social media data presents opportunities and challenges. But text-as-data methods continue to dominate as modes of classification, as multimodal social media data are costly to collect and label. 
Researchers who face a budget constraint may need to make informed decisions regarding whether to collect and label only the textual content of social media data, or their full multimodal content. In this article, we develop five measures and an experimental framework to assist with these decisions. We propose five performance metrics to measure the costs and benefits of multimodal labeling: average time per post, average time per valid response, valid response rate, inter-coder agreement, and classifier's predictive power. To estimate these measures, we introduce an experimental framework to evaluate coders' performance under text-only and multimodal labeling conditions. We illustrate the method with a tweet labeling experiment.
DOI: 10.7910/dvn/quhnl7
title: Total Energy Database

description: U.S. Energy Information Administration Data Browser, providing information on total energy consumption broken down by sector (e.g., residential, commercial, industrial), type of fuel (e.g., petroleum, coal, nuclear), prices, and other factors. Includes data on primary energy consumption, energy expenditures, and carbon dioxide emissions indicators.

Connected to Sustainable Development Goal Indicator 7.3.1 - Energy intensity measured in terms of primary energy and GDP

Connected to Sustainable Development Goal Indicator 9.4.1 - CO2 emission per unit of value added
DOI: 10.7910/dvn/egcojw
title: Replication Data for: Data for_SCC_Motivation_Project

description: Self-Concept Clarity at Work
DOI: 10.21233/vf8y-ek78
title: Little Whitepine Lake water chemistry dataset

description: Raw data for the Little Whitepine Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/e5krfm
title: Supplementary materials for Blocking dopamine receptor 2 decreases gastrin levels in H. pylori-infected mice through increasing gastric somatostatin content

description: Supplementary materials for Blocking dopamine receptor 2 decreases gastrin levels in H. pylori-infected mice through increasing gastric somatostatin content
DOI: 10.7910/dvn/8ojeyq
title: QUESTIONNAIRE Latent factors on the design and adoption of gamified apps in primary education

description: This questionnaire has been developed within the framework of the “Proof of Concept” Project entitled: “GAUBI-ORTO. Evaluation of a digital model and application for sustainable, ubiquitous and gamified learning of Spanish spelling in Primary Education” (PDC2022-133185-I00). State Program to Promote Scientific-Technical Research and its Transfer, of the State Plan for Scientific and Technical Research and Innovation. Ministry of Science and Innovation (Spain)
DOI: 10.7910/dvn/omex8k
title: Food and Nutrition knowledge Attitudes and Practices (KAP) of public primary school children in the communes of Cotonou, Abomey-Calavi and Sèmè-Kpodji

description: This study targeted public primary school children in the third, fourth and fifth grades in the communes of Cotonou, Abomey-Calavi and Sèmè-Kpodji. The purpose is to assess their food and nutrition knowledge, attitudes and practices.This study targeted public primary school children in the third, fourth and fifth grades in the communes of Cotonou, Abomey-Calavi and Sèmè-Kpodji. The purpose is to assess their food and nutrition knowledge, attitudes and practices.
&lt;br&gt;&lt;br&gt; 
Methodology:Individual interview through semi-structured questionnaires were used to collect sociodemographics and KAP dataIndividual interview through semi-structured questionnaires were used to collect sociodemographics and KAP data
DOI: 10.7910/dvn/izghji
title: WORLD SCIENTISTS : THE ROLE OF INNOVATIVE CELLULAR HEALTH PRODUCTS IN HEALTH MANAGEMENT SYSTEMS

description: Abstract : The health management industry is evolving rapidly with the advent of innovative cellular health products that offer therapeutic, preventive, and consumer-oriented benefits. These products have integrated advanced technologies, such as nanotechnology, silicon-based fibres, and natural mineral compositions, to enhance physiological functions and promote overall well-being. This thesis aims to explore the role of innovative cellular health products, such as CELL BALANCE, iCELL, HB Solution, and IFIBR – FIBRANIUM, in health management systems. By analyzing their impact on chronic conditions, pain management, energy balance, and overall health, this thesis examines the potential of these technologies to revolutionize healthcare and promote a more proactive approach to health management. The integration of such products into health systems may offer long-term benefits for patients, providers, and healthcare administrators, enhancing not only physical health but also psychological and emotional well-being.
DOI: 10.7910/dvn/eercj1
title: Leadership turnover data for: Li and Zha (2024)
title: Leadership turnover, winning coalition size and foreign policy realignment

description: This is the leadership turnover data used for the publication.
DOI: 10.21233/j1mr-dc73
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/onw5wx
title: Replication Code for: Unequal solar PV performance by race and income partly reflects financing models and installer choice

description: Replication code for "Unequal solar PV performance by race and income partly reflects financing models and installer choice" paper.
DOI: 10.7910/dvn/vfijq8
title: Replication Data for A Demonstration of Propensity Score Weighting to Adjust a Social Media Nonprobability Sample Survey of Political Attitudes

description: Interest in using nonprobability online samples continues to grow despite concerns about selection bias. Many methods exist for adjusting nonprobability data so it may yield generalizable inferences. Here we investigate whether a propensity score weighting method can balance differences between a probability sample and a nonprobability sample of Twitter (now X) users to evaluate the feasibility of using social media data for producing generalizable inferences on public opinion. We fielded identical surveys to 2,001 probability sampled respondents (June 30-July 22, 2022) and 949 Twitter users (March 1-July 13, 2022); final analytic sample sizes 1,972 and 822, respectively. The nonprobability sample differed significantly in demographic characteristics (younger, lower income, higher educational attainment), and broadly endorsed significantly more liberal attitudes towards a range of political and policy issues than the probability sample. We show that the propensity score weighting procedure, using demographics, techno/psychographics, and political ideology reconciles differences between the samples for 25 of the 27 attitudes assessed. The results demonstrate the feasibility and utility of the propensity score weighting procedure to replicate a probability sample with nonprobability social media data and add to the literature on the use of nonprobability samples to draw population level inferences.
description: RAND's IRB determined the consent language precludes sharing of the survey data. Analytic output data used to generate the Figure is provided.
DOI: 10.7910/dvn/lttxk9
title: Supporting Measurement and Replication Techniques for Family Planning High Impact Practices: An Assessment of the Scale, Reach, Quality and cost of Implementation in Mozambique (R4S study #2.6)

description: This study was conducted in four provinces in Mozambique (Cidade de Maputo, Província de Sofala, Província de Cabo Delgado, and Província de Nampula) and covers the post-abortion FP (PAFP) family planning high impact practice (HIP). This assessment of scale, reach, quality and cost of HIP implementation used a cross-sectional, observational design. PAFP readiness assessments were conducted in 61 facilities and with 122 providers, Key Informant Interviews (KIIs) were conducted with 2 program managers and 2 members of the Ministry of Health, and indicators on scale and reach were collected from the DHIS2. Data from the KIIs and DHIS2 are not included in these data. This work is made possible by the generous support of the American people through the U.S. Agency for International Development (USAID), provided to FHI 360 through Cooperative Agreement 7200AA19CA00041. The partners on this work were Pact Consultores and Evidence for Sustainable Human Development Systems in Africa (EVIHDAF).
DOI: 10.7910/dvn/kz5bjf
title: Replication Data for: An Expert-Sourced Measure of Judicial Ideology

description: This packages replicates PA-2024-0078.R1 - An Expert-Sourced Measure of Judicial Ideology.
DOI: 10.7910/dvn/vfo4v7
title: Addressing The Environmental Crisis In Uttarakhand: A Sociological and Ecological Analysis

description: Surender Kumar¹, Luis Alberto Flores Hernández², Maureen O'Sullivan³, Ingeborg Mooiweer⁴, Sama A⁵
Uttarakhand, a Himalayan state in India, is experiencing an escalating environmental crisis driven by climate change, deforestation, hydropower projects, unregulated tourism, and rapid urbanization. This research examines these crises through a sociological and ecological lens, analyzing their impact on marginalized communities, biodiversity, and sustainable development. Applying theories from environmental sociology, political ecology, and disaster studies, the study explores how structural inequalities exacerbate environmental vulnerability. Through qualitative and empirical analysis, including case studies of the Kedarnath disaster (2013), the Joshimath land subsidence (2023), and hydroelectric projects in the Alaknanda and Bhagirathi basins, this paper highlights governance failures and community resilience. Finally, it proposes policy recommendations to integrate environmental sustainability with social justice.
DOI: 10.7910/dvn/nkvv3o
title: Replication data for: Drivers and necessary conditions for chatbot acceptance in the insurance industry. Analysis of policyholders’ and professionals’ perspectives.

description: The adoption of conversational robots (chatbots) for customer service is 
expanding across many industries. In the insurance sector, where customer 
interactions are essential to the use of policies, understanding chatbot 
acceptance is particularly relevant. This study explores the factors and conditions influencing the acceptance of chatbots for insurance policy management via the unified theory of acceptance and use of technology (UTAUT) 
framework. The analysis is conducted on two groups: ordinary policyholders 
and policyholders who are also industry professionals. The explanatory 
factors evaluated are performance expectancy, effort expectancy, social 
influence, and trust. The findings indicate that effort expectancy, social 
influence, and trust positively impact the behavioral intention to use chatbots. Additionally, all the variables are found to be necessary for acceptance. 
The structural equation model assessment reveals that professional status do 
not moderate the relationships between explanatory variables and behavioral intention; however, professionals demonstrate a greater intention to 
use chatbots. Among ordinary policyholders, effort expectancy has the largest effect size on acceptance. For professionals, trust and performance 
expectancy are the most impactful explanatory variables, with very large 
effect sizes. These results emphasize that while all variables are essential for 
acceptance, the relative importance of each variable varies between policyholders and professionals, offering insights for implementing chatbot solutions effectively within the insurance sector.
DOI: 10.7910/dvn/kelqzc
title: MADRS_MaddenDissertation_Chapter4_CorpusSuperiorDecisions

description: This dataset contains 193 text files consisting of over 1.125 million words, that represent a randomly selected corpus of Superior Court opinions from 2022 that was studied for readability purposes within Chapter 4 of Mike Madden's doctoral dissertation.
DOI: 10.21233/hgjq-va65
title: Bakchar mire2 testate amoebae surface sample dataset

description: Raw data for the Bakchar mire2 testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/ippgce
title: Python Scripts for Landsat-8 Land Surface Temperature Data Processing and Visualization

description: This project provides Python scripts designed to automate the processing, analysis, and visualization of Land Surface Temperature (LST) data from Landsat-8. Utilizing the Google Earth Engine API, the script facilitates the examination of urban heat island effects by analyzing LST data over various timeframes and geographical regions. The scripts includes functions for downscaling LST data using machine learning techniques based on normalized difference indexes (NDVI), enabling enhanced data visualization. It is designed to handle LST data in Kelvin, convert it to Celsius, and allow users to visualize the data using interactive maps and detailed graphical outputs. This tool is ideal for urban studies, climate change research, and environmental monitoring.
DOI: 10.7910/dvn/olgi39
title: Occupation by sex for the full-time, year-round civilian employed population 16 years and over

description: Data from 2015 American Community Survey 1-Year Estimates, from Table S2402.

Connected to SDG indicator 5.5.2 - Proportion of women in managerial positions
DOI: 10.7910/dvn/nke1dd
title: National Environmental Public Health Tracking Network

description: Drought files: each of these datasets provide data at the county level. Three datasets (the Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), and Standardized Precipitation Evapotranspiration Index (SPEI)) include monthly index data from 1895-2016. The U.S. Drought Monitor dataset features weekly drought monitor values (ranging from 0-4) from 2000-2016.

Solar Radiation files: solar radiation datasets are available at the county level. Population-weighted Global Horizontal Irradiance (GHI) data are available by day from 1991-2012. Ozone Monitoring Instrument (OMI) Population-Weighted Ultraviolet (UV) irradiance data are available daily from 2004-2015.

Air Pollution files: these datasets provide modeled predictions of particulate matter (PM2.5) and ozone levels from the Downscaler model. Data are at the census tract and county levels for 2001-2016. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. County-level datasets include the maximum, median, mean, and population-weighted mean concentration.
description: Please note that row size for the CSV files range from 4M to 136M and should be opened with an appropriate application to view all data.

Data downloaded on December 18, 2024 from https://ephtracking.cdc.gov/download.
DOI: 10.7910/dvn/onewnj
title: Replication Data for: If They Don’t Do the Job, We'll Do It: Regional Economic Conditions and Support for Democratic Innovations in Europe

description: Data and replication material for the paper "If They Don’t Do the Job, We'll Do It: Regional Economic Conditions and Support for Democratic Innovations in Europe"
DOI: 10.7910/dvn/ijtch9
title: Supplementary Appendix for "Partisan Change with Generational Turnover: Latino Party Identification from 1989-2023"

description: This PDF file includes the supplementary appendix for the paper "Partisan Change with Generational Turnover: Latino Party Identification from 1989-2023"
DOI: 10.7910/dvn/8l4oyy
title: Yield stability assessment -- Climate data

description: 1. Sadoré, Niger: Daily records of rainfall, minimum temperature, maximum temperature, and solar radiation for the 1983-2022 period were obtained from the climate station at the ICRISAT experimental site. Gaps in the climate data were filled using gridded data for the study site retrieved from the NASA POWER data portal (https://power.larc.nasa.gov/).

2. Ndiaye, Senegal: Daily rainfall, maximum and minimum temperatures, and solar radiation from 1980–2022 were recorded by an automatic weather station at the Africa Rice Center research station (16.23°N, 16.23°W). Missing data were filled with locally-reconstructed historic daily climate data (1995-2014) and data obtained from the NASA POWER data portal.
description: Excel
DOI: 10.21233/d2q6-zy60
title: Bílé Karpaty 29 pollen surface sample dataset

description: Raw data for the Bílé Karpaty 29 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/thttr1
title: Replication Data for Transforming the Future of Surimi as the Next Frontier in Sustainable Raw Materials: A Systematic Review of Nile Tilapia Environmental and Sustainability Indicators

description: PLS-SEM Data from PRISMA SLR GRADE VALUATION
DOI: 10.7910/dvn/vfcc9g
title: Simulation of the Effect of the Detuning in the Performance of the Two-level System

description: Abstract
Objective: To study the effect of resonance and non-resonance wave–matter interaction on the behavior of dispersion, absorption, and population inversion as a component of nonlinear polarization by simulation to describe the temporal variation of two-level system.

Methods/statistical analysis: Software program was prepared in the study to solve normalized optical Bloch equation model numerically by Rung-Kutta–Fehelberg method.

Findings: The study showed that the dispersion not occurs at resonance state, while occurs at detuning state, it decreases with the increasing of detuning, so the decreasing of absorption, population inversion was observed with the increasing of detuning. While the value of saturation parameter increases with the increasing of detuning value.

Application/improvements: The appropriate intensity (saturation intensity /sut.) to reach the steady state of population inversion as a function of initial (incident /int.) intensity on the system has been estimated.

Keywords: Quantum Optics, Wave–Matter Interaction.
DOI: 10.7910/dvn/w3s2lw
title: US Cancer Incidence Dataset at the ZCTA Level Interpolated by Multi-Constraint Monte Carlo Simulation

description: This project develops a high-resolution, multi-scale cancer dataset in the U.S. by using a multi-constraint Monte Carlo simulation method to estimate suppressed county-level cancer data and further downscale them to ZIP Code Tabulation Areas (ZCTAs). This method integrates population subgroup structures and macro-level incidence rates as constraints, ensuring consistency and reliability across spatial scales. The resulting dataset spans multiple geographic units, from state and county levels to ZCTAs, enabling comprehensive analyses of cancer burden, facilitating in-depth spatial analyses, and designing precision public health interventions across multiple scales.
DOI: 10.7910/dvn/8qne7c
title: Mycetismus data

description: mycetismus case data, three meteorological variables (monthly average temperature (MATEMP, °C), monthly average wind speed (MAWS, m/s), monthly precipitation (MP, 100 mm)), and normalized difference vegetation index (NDVI). Guizhou population, economic data (per capita CDI of rural households, per capita CDI of urban households, and per capita GDP)