cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/yzsnju
title: Privatisierung als Element „neuer“ Kriege am Beispiel von Söldnertruppen – ein legitimes und legales Mittel moderner Kriegsführung?

description: Das Paper reflektiert politische und rechtliche Fragestellungen der Legalität und Legitimität des Einatzes von Söldnertruppen durch Staaten.
description: Paper in german.
DOI: 10.7910/dvn/zbvfcs
title: Vibrational Characteristics of Jute-Banana Hybrid Composites with Effect of Alkali Treatment and PLA Coating

description: Abstract
Objectives: To investigate the vibration characteristics of jute-banana fiber-reinforced hybrid composites by exploring the influence of surface pre-treatment with sodium hydroxide (NaOH) and coating with Polylactic acid (PLA) using Finite Element Analysis (FEA). Methods: Natural fiber reinforced composites (NFRC) have advantages over man-made fibers such as glass, carbon, and Kevlar. However, the hydrophilic characteristic of natural fiber results in poor adherence between fiber and matrix. This reduces the characteristics of the polymer composite. Before constructing the composite laminates, jute and banana fibers are coated with NaOH and Polylactic acid. Experimental vibration and Finite Element Analysis method is adopted to predict the natural frequencies under various end conditions, including Simply Supported (SS), Clamped (CC), and Clamped-Free (CF). Furthermore, it explores the influence of ply orientations on natural frequencies under SS and CC conditions. Findings: According to the results of the experiments and FEA, chemical treatment and coating increase the free vibration characteristics of composites by improving the interfacial connection between the fiber and the matrix. The experimental and FEA results are compared, revealing that fiber treatment and coating increase vibration qualities. Specifically, during the experimental study, the NaOH-treated and PLA-coated composites showed a 24.08% increase in natural frequency. Ansys data also showed significant increases of 6.57%, 8.1%, and 26.77% under SS, CC, and CF conditions compared to other specimens. Novelty: In this work, woven jute and banana fibers were subjected to eco-friendly and chemical treatment NaOH and PLA coating in order to improve the adhesion with the matrix thereby improving the performances of their composites. The present developed composites can be used for medium-strength applications in the field of automobile, construction and packaging.

Keywords: Jute and Banana Composites, NFRC, Free Vibration, Polylactic Acid Coating, NaOH treatment
DOI: 10.7910/dvn/etmrxi
title: WW24

description: This report describes the results of an annual nationwide survey on winter weather in the United States. The 2024 Winter Weather and Society Survey (WW24) was designed and administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. It is the fourth survey in the annual series (see Krocak et al. 2021, Bitterman et al. 2022, and Bitterman et al. 2023 for more information on the WW21, WW22, and WW23 surveys, respectively). It was fielded from December 11-17, 2024, using an online questionnaire that was completed by 1,223 U.S. adults (age 18+) that were recruited from an Internet panel that matches the characteristics of the U.S. population as estimated in the U.S. Census. The WW21 survey was designed to establish baseline measures of the extent to which U.S. adults receive, understand, and respond to winter weather forecasts and warnings. The survey also measured public trust in the National Weather Service (NWS), extreme weather and climate risk perceptions, risk literacy, interpretations of probabilistic language, and winter weather preparedness. In the WW22 survey, those baseline questions were refined, and respondents’ threshold for winter weather events, the perceived impact of winter weather on their location and daily life and their perceptions of the amount of snow that will fall given certain forecast messaging are all tested. The WW23 survey continues to test these measures, while adding questions addressing how prebunk messaging impacts the ability of members of the public to identify high-quality forecast information. Most recently, the WW24 survey added experiments investigating the impact on understanding and response when colors on weather forecast graphics go against what is expected, when health information is added to messaging, and when forecasters include their level of confidence in a forecast. This report briefly describes the methodology, survey data collection, data weighting, and a reproduction of the survey instrument with weighted means and frequencies for the questions that elicited numeric responses.

NOAA’s Weather Program Office provided funding for survey design and data analysis.
DOI: 10.21233/cpj3-5k14
title: Cold Springs [35UM7] macroinvertebrate dataset

description: Raw data for the Cold Springs [35UM7] macroinvertebrate 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/njlg0x
title: Employee-Driven Innovation Research Dataset
title: Exploring the Impact of Employee Suggestions on Workplace Quality and Project Success.
title: EDI Research Dataset.

description: This dataset includes research papers and survey data on employee-driven innovation
DOI: 10.7910/dvn/pdx8m1
title: Replication Data for: Income, Education, and Policy Priorities

description: Are people's priorities associated with their income and education levels? There is a long history in political science of claims that priorities are driven by economic interests, but also that low income and low education people fail to prioritize their economic interests. In this paper we use measures of revealed importance from Sides et al. (2023) to evaluate the priorities of high and low income/education voters with respect to 44 different policies. It is well known that there are substantial differences in the preferences of people with lower incomes or education levels and people with higher incomes or education levels, but conditional on preferences we find very small differences among education and income groups in terms of priorities. Like high income and high education voters, lower income and education voters care most about the major issues of the day. They do not care systematically more or less than other voters about policies that expand social welfare, redistribution, or labor rights.
DOI: 10.7910/dvn/yjv5ak
title: Replication Data for: Moiré band structure engineering using a twisted boron nitride substrate

description: This provides the data in the main text and supplementary information in paper "Moiré band structure engineering using a twisted boron nitride substrate".
DOI: 10.7910/dvn/xlpo3b
title: Behavior Testing: Barnes Maze

description: Raw data, graphs, and statistical analysis related to the Barnes maze test (ALL COHORTS).
DOI: 10.7910/dvn/z7it8y
title: Texts of Trade Agreements Corpus

description: Texts of Trade Agreements (ToTA) is a machine-readable and annotated full text corpus of preferential trade agreements (PTAs) in XML format.

The number of trade agreements has dramatically increased since the early 1990s. Trade agreements cover ever more issues and an average agreement text is now around ten times longer than 25 years ago. This makes it more and more difficult to analyze the content of trade agreements and assess their impact on international trade and welfare. Big data and text-as-data methods can help researchers, policy-makers and other stakeholders to better manage the growing complexity of trade agreements.

Modern computational methods, however, require the existence of machine-readable texts. While several databases make PTA texts available, they are generally optimized for reading, but not computational analysis. As part of a year-long effort, this project used the WTO RTA Database to locate text and meta-data of close to 450 preferential trade agreements and transformed them into a machine-readable format that allows analysis on the article, chapter or treaty-level of PTA texts.

This corpus builds on the WTO Regional Trade Agreements Information System data. We gather metadata and full texts from this source, correct the deficiencies (missing full texts or incorrect metadata), apply optical character recognition or other methods to arrive at machine-readable texts, remove annexes or schedules, impose two-level hierarchy of treaty elements, and, finally, produce XMLs that are stored in xml/ folder. Please note that the texts may contain errors due to optical character recognition deficiencies.

The resulting data contains 448 PTA texts notified to the WTO, and two texts for Trans-Pacific Partnership agreement (in English and Spanish). When the PTA texts are available in more than one of the official WTO languages (English, French, Spanish) we prioritise English and report the respective XML in this language.

Based on the ToTA infrastructure, one could employ text-as-data methods to automatically map the content of PTAs gaining new insights on trade agreements. Textual similarity measures, for example, are able to capture fine-grained differences in treaty design. So-called dimensionality reduction techniques, which compress the textual information contained in a text into a set of abstract variables, help predict trade flows more accurately than previously available measures.

The data is available at https://github.com/mappingtreaties/tota.
description: The data is available at https://github.com/mappingtreaties/tota.
DOI: 10.7910/dvn/mkhvyu
title: Data_ELISA_CUMS

description: Data from ELISA. Brain homogenates from commercial kits ((BlueGene Biotech, #E03M1101, #E03M110, #E03S0058) and (Cloud-Cone Corporation, #SEA133Mu, #MEA563Mu, #SEA056Mu)). The optical density in each well was determined using a multifunctional automatic microplate photometer (Synergy™ MXT, BioTek, USA) set at 450 nm. A standard curve was generated using software (CurveExpert 1.4) from which the concentration for each sample was interpolated. Concentrations were calculated automatically. For readers of the article "The long-term effects of chronic unpredictable mild stress experienced during adolescence could vary depending on biological sex"
Shirokova O.M., Kuzmina D.M., Zaborskaya O.G., Korotchenko S.A., Pershin V.I., Vasilchikov P.I., Shchelchkova N.A., Kozliaeva E.V., Mukhina I.V.
DOI: 10.7910/dvn/mhu8ec
title: Hybrid Feature Selection for COVID-19 Severity Prediction Using Cuckoo Search with SVM Framework

description: Abstract
Objective: The main objective of this study is to determine the most important blood test markers that may indicate the presence of COVID-19 in a patient. To utilize the Cuckoo Search algorithm with SVM to explore the feature space efficiently and select features that contribute significantly to the model's performance. Methods: A novel hybrid method for feature selection has been proposed with the goal of improving the predictive capabilities of Support Vector Machines (SVM) for determining COVID-19 severity. Blood test datasets are used in the implementation of this study. The dataset has been split into two parts: 80% for training and 20% for testing. First, we use two statistical measures, chi-squared and mutual information, from the filter approach to minimize the feature dimensions. As a wrapper for SVM, we then use a modified Cuckoo Search algorithm. To measure how well the proposed approach works, we used evaluation metrics such as accuracy, precision, recall, and F1 score. Findings: The SVM classifier achieved the best performance with the features obtained from the proposed hybrid method, and the SVM classifier obtained an accuracy of 92% using the blood test dataset. The outcomes demonstrate that our hybrid approach effectively picks a subset of features that makes the model simpler while also making it more accurate and faster to compute. Novelty: This research work proposes a new hybrid feature selection technique by combining filter and wrapper methods to find the best feature set. This combination is introduced for the first time in this type of work related to COVID-19 prediction in which the results of Chi-Square and Mutual Information are used by the modified Cuckoo-Search algorithm to find the top features pertaining to COVID-19 severity and also to improve the performance of SVM model.

Keywords: Feature selection, Cuckoo search, Machine learning, Support Vector Machine (SVM), Severity prediction, Healthcare
DOI: 10.7910/dvn/pfjopb
title: Replication Data for: Agency MBS as Safe Assets

description: Replication code and pseudo data for "Agency MBS as Safe Assets" by He and Song (RFS, 2025)
DOI: 10.7910/dvn/pballd
title: Replication Data for: Beck K, Jackson K (2023) International trade fluctuations: global versus regional factors, Canadian Journal of Economics

description: Data set used to prepare the paper:
Beck K, Jackson K (2023) International trade fluctuations: global versus regional factors, Canadian Journal of Economics
DOI: 10.7910/dvn/p6cmfo
title: Twilight images from Aswan city (January 12 – 16, 2016)

description: Twilight images from Aswan city (January 12 – 16, 2016)
DOI: 10.21233/eet1-v520
title: Stordalen testate amoebae surface sample dataset

description: Raw data for the Stordalen 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/9tky1t
title: Replication analysis for "Mitigating Tough Times? How Material Self-Interest Influences Citizens’ Welfare State Behavior"

description: The analyses are based on Danish administrative registry data. These data contain confidential information and are, therefore, not publicly available. The combined survey and registry data are stored at Statistics Denmark and can only be accessed by researchers affiliated with a permanent Danish research institution/environment using Statistics Denmark remote server system (for further information about the Danish administrative registries, including access, see http://www.dst.dk/en/TilSalg/Forskningsservice.aspx and in Pedersen 2011). Accordingly, I cannot make replication data for our analyses available. 

Access to the replication data:
For those researchers who want to replicate the results, there are two ways to gain
access to the administrative data I use. The first option is to order the data directly
from Statistics Denmark. Importantly, Statistics Denmark presently requires that researchers obtain a project approval at Statistics Denmark before ordering data. 

The second option is that researchers at a university or research institution outside of
Denmark may gain access to the Statistics Denmark registries by visiting a Danish research institution. If researchers are interested in this option, I will try help obtain the necessary institutional approvals for a researcher to be temporarily added to the research team. These need to be applied for in advance of the visit. For further inquiries, please contact me at
mec@ps.au.dk


Pedersen, Carsten Bøcker. 2011. “The Danish Civil Registration System.” Scandinavian Journal of Public Health 39 (7_suppl): 22–25.
description: This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. 
<br>
 
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science. 
<br>


<br>
Open Materials Badge
DOI: 10.7910/dvn/9rvtkc
title: Supplementary Data - Women's Participation In Audit Committees Strategy Factor In ESG Disclosure.

description: Research data used in the paper entitled " Women's Participation In Audit Committees Strategy Factor In ESG Disclosure." published in Revista Brasileira de Gestão de Negócios (RBGN) V26, n4 (2024) Access: https://rbgn.fecap.br/RBGN
DOI: 10.7910/dvn/warphh
title: Fresh Initiative_Sociodemographic and dietary intake data of high school student in the communes of Boukoumbe and Natitingou, northern Benin

description: This study aims to access food environment of high school students and the policies to improve fruits and vegetable’s availability in Northern Bénin. This study covered the communes of Boukoumbe and NatitingouThis study aims to access food environment of high school students and the policies to improve fruits and vegetable’s availability in Northern Bénin. This study covered the communes of Boukoumbe and Natitingou
&lt;br&gt;&lt;br&gt;
Methodology:Data were collected using surveys. Semi-structured questionnaire was employed to collect sociodemographic data and multi-pass 24h-dietary recall with portion size estimation using local household units was the tool used for dietary data.Data were collected using surveys. Semi-structured questionnaire was employed to collect sociodemographic data and multi-pass 24h-dietary recall with portion size estimation using local household units was the tool used for dietary data.
DOI: 10.7910/dvn/pawqc8
title: Hydrate

description: Global hydrate
DOI: 10.7910/dvn/wovjxr
title: Executive Agreements Database, Statement Concerning the Agreement with India For Financing Certain Education Exchange Programmes Signed At New Delhi July 4, 2008 Entered Into Force July 4, 2008

description: TIAS 08-704

cover memo
DOI: 10.7910/dvn/yxc5k5
title: Replication Data for: Benchmarking AI and Human Text Classifications in the Context of Newspaper Frames: A Multi-Label LLM Classification Approach

description: Here you can find the data and replication code for the paper: Benchmarking AI and Human Text Classifications in the Context of Newspaper Frames: A Multi-Label LLM Classification Approach
DOI: 10.21233/6a5b-kr38
title: Nanwenghe testate amoebae surface sample dataset

description: Raw data for the Nanwenghe 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/bpxhz5
title: A99_12807.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/45be3add-2ca2-e41c-4008-ea197360bd17'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/45be3add-2ca2-e41c-4008-ea197360bd17
DOI: 10.7910/dvn/bfzhuv
title: Executive Agreements Database, Statement Regarding Agreement Between The United States and The United Kingdom, Of Great Britain and Northern Ireland on Removal Of A Limitation On Antitrust Cases Under The Treaty Between The United Kingdom Of Great Britain and Northern Ireland On Mutual Legal Assistance In Criminal Matters Of January 6, 1994 Exchange Of Notes Act Washington April 30 and May 1, 2001

description: TIAS 01-501

cover memo
DOI: 10.7910/dvn/yocqdc
title: Superheated dry steam: the discreet hero of the innovative steam generator ‘MediCleanTec Micro Cleaner’.

description: Annotation:

The article is devoted to the analysis of the operating principles and advantages of the steam generator ‘MediCleanTec Micro Cleaner’, which is an innovative device that uses superheated dry steam technology for effective disinfection and cleaning of surfaces. The device is positioned as a universal solution for sterilisation in hygienic environments.

In an era of smart technology and energy efficiency, superheated dry steam is becoming a key element in the operation of many household appliances. Its unique properties – high temperature, no moisture and the ability to transfer heat quickly – make it indispensable in everyday life. From irons to sterilisers, this steam is changing the way we approach household tasks.

Superheated steam is created when water is heated above its boiling point (100°C at standard pressure), which completely vaporises the liquid, turning it into a ‘dry’ gas with no droplets. Unlike saturated vapour, which contains moisture, superheated vapour has more energy and efficiency, making it ideal for applications where precision and speed are required.

The advantages of superheated steam are.

1- Energy efficiency. Due to its high temperature, steam treats surfaces faster, reducing unit run time and energy consumption.

2. Material safety. The lack of moisture protects fabrics, electronics and other sensitive surfaces from damage.

3. Hygienic. Steam destroys bacteria and allergens without chemicals, which is important for sterilisers and cleaners.

4. environmentally friendly. Reduces the need for detergents, reducing the chemical load on the environment.

Generation technologies.

Modern devices use ceramic heaters and precise temperature controllers to create superheated steam. For example, steam generators instantly vaporise water in sealed chambers and pressure sensors monitor its temperature (up to 160°C). Innovative materials, such as stainless steel with an anti-corrosion coating, ensure durability even under extreme loads.
description: MediCleanTec Micro Cleaner steam generator: an innovation in the world of superheated dry steam disinfection.

In an era of increased attention to hygiene and safety, especially after the COVID-19 pandemic, effective disinfection has become critical for healthcare facilities, food processing plants, hotels and public spaces. Against this backdrop, the MediCleanTec Micro Cleaner steam generator stands out as a revolutionary solution that uses superheated dry steam at a pressure of 9 bar and temperatures in excess of 180 °C. Let’s take a look at why this device is superior and what prospects it offers for various industries.
DOI: 10.7910/dvn/paed1m
title: Replication Data for: Who's to Blame? Postconflict Violence, Political Messaging, and Attitudes Towards Peace Agreements

description: Replication data for paper "Who's to Blame? Postconflict Violence, Political Messaging, and Attitudes Towards Peace Agreements"
DOI: 10.7910/dvn/9uxycq
title: Replication Data for: The Generalizability of IR Experiments beyond the United States

description: Theories of international relations (IR) typically make predictions intended to hold across many countries, yet existing experimental evidence testing their micro-foundations relies overwhelmingly on studies fielded in the U.S. We argue that the broad nature of many IR theories makes it especially important to evaluate the extent to which their predictions hold across countries. To examine the generalizability of IR experimental findings beyond the U.S., we implemented a pre-registered and harmonized multi-site replication study, fielding four prominent IR experiments across a diverse set of seven democracies: Brazil, Germany, India, Israel, Japan, Nigeria, and the U.S. We find high levels of generalizability across all four experiments, a pattern further analysis suggests is due to limited treatment effect heterogeneity. Our findings and approach offer important empirical and methodological insights for the design and interpretation of future experimental research in IR.
description: <strong>APSR Data Editors' Note:</strong> APSR Data Editors have reviewed included documentation for completeness and have successfully reproduced all figures and tables in the article using the code and data included in this deposit. Data editors do not review results presented in appendices or supplementary materials.