cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ipdcdq
title: Integrated and enhanced dataset on food security and household coping strategies of Burkina Faso (2018-2023)

description: &lt;p&gt;This dataset integrates and standardizes multiple cross-sectional household food security surveys conducted twice a year to support the Cadre Harmonisé process in West Africa. The surveys are carried out in two waves each year:&lt;/p&gt;
 &lt;ul&gt;
 &lt;li&gt;&lt;strong&gt;First wave&lt;/strong&gt;: Conducted before the start of the lean season (around February-March)&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Second wave&lt;/strong&gt;: Conducted at the end of the lean season or beginning of the harvesting period (around September-October)&lt;/li&gt;
 &lt;/ul&gt;
 &lt;p&gt;These large-scale surveys are generally representative at the second-tier administrative level and capture data on the access and stability dimensions of food security. Key indicators include:&lt;/p&gt;
 &lt;ul&gt;
 &lt;li&gt;&lt;strong&gt;Food Consumption Score (FCS)&lt;/strong&gt;&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Household Dietary Diversity Score (HDDS)&lt;/strong&gt;&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Coping behaviors&lt;/strong&gt;&lt;/li&gt;
 &lt;/ul&gt;
 &lt;p&gt;Additionally, this dataset is further augmented with information on several covariate shocks that took place in each second-level administrative area in the period between two subsequent surveys. The different covariate shocks added to the dataset relate to five shock domains: &lt;/p&gt;
 &lt;ol&gt;
 &lt;li&gt;&lt;strong&gt;Conflict and political violence&lt;/strong&gt;&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Food price anomalies&lt;/strong&gt;&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Long-term climate hazards&lt;/strong&gt;&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Rainy season performance&lt;/strong&gt;&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Extreme weather events&lt;/strong&gt;&lt;/li&gt;
 &lt;/ol&gt;
 &lt;p&gt;This comprehensive dataset provides valuable insights into food security and household coping strategies in Burkina Faso, enriched with data on various shocks impacting food security.&lt;/p&gt;
description: STATA, 17
description: Household- and Community-level Surveys
DOI: 10.7910/dvn/8ubhap
title: Replication Data for: Spillover Effects in International Law: Evidence from Tax Planning

description: Multinational firms frequently route their foreign investments through intermediate shell companies. Increasingly, firms engage in proxy arbitration, using these shell companies to access other states’ bilateral investment treaties and file investor–state disputes against their host states. I argue that proxy arbitration is actually a spillover effect of firms’ efforts to reduce their tax burdens. Firms invest abroad through intermediate shell companies to access the bilateral tax treaty network, reducing their withholding taxes. Because the tax and investment treaty networks overlap extensively, these “tax-planning” firms often gain investment treaty coverage as a side benefit, enabling them to file proxy arbitration in the event of a dispute. Using novel, fine-grained data on the ownership structures of multinational firms, I find evidence in support of the spillover effects theory. The results shed new light on the costs of corporate tax planning, and inform ongoing policy debates about reforming the international investment regime; moreover, they make clear that understanding the true effects of global governance institutions requires attention to how firms strategically change their legal forms to access or avoid them.
DOI: 10.7910/dvn/u1infp
title: Workshop on genetic editing in plants

description: Fieldnotes and photographs from a university workshop on genetic editing in plants.
DOI: 10.7910/dvn/vziuku
title: Replication Data for: Physical activity reduces acute respiratory infections via immunometabolism

description: Physical activity reduces acute respiratory infections via immunometabolism
DOI: 10.7910/dvn/8pmajv
title: Food Vendors Mapping in Three Sublocations of Vihiga County, Kenya: A Food Environment Study (July–August 2023)

description: This study aims to understand the food environment by examining both formal and informal food vendors in selected villages and markets of Vihiga County. The Primary data was collected through a food vendor mapping and census by use of a semi-structured questionnaire deployed using ODK.
&lt;br&gt;&lt;br&gt; 
Methodology:The survey employed a multi-stage sampling technique, enabling sequential sampling across multiple hierarchical levels. In the first stage, Vihiga County was purposively selected, encompassing all food vendors as the study population. In the second stage, three sub-locations—Ebungangwe, Emanda, and Mwitubwi—situated in Emuhaya, Vihiga, and Luanda Sub-Counties, respectively, were purposively chosen. Vendors in villages within these sub-locations and nearby markets were comprehensively mapped. The study relied on primary data collected directly from food vendors in Vihiga County.
DOI: 10.7910/dvn/dicbtb
title: Executive Agreements Database, Statement Concerning the Agreement with Kenya Amending The Agreement Of November 2, 2001 For The Provision Of Technical Assistance In Developing and Modernizing Kenya's Civil Aviation Infrastructure Signed August 18 and 26, 2009 Entered Into Force August 26, 2009

description: KAV 8813

cover memo
DOI: 10.7910/dvn/om2xwt
title: SOLSTICE project

description: The SOLution-oriented, STudent-Initiated, Computationally-Enriched (SOLSTICE) &lt;a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=1855886&HistoricalAwards=false"&gt;NSF Award Details&lt;/a&gt; approach is a teaching method for improving graduate student training in data-intensive fields. The approach seeks to enhance students' knowledge, skills, and attitudes in data sciences to solve complex problems, think critically, and effectively communicate across inter-generational, trans-disciplinary research teams. Using a data-intensive, project-based learning approach, graduate students work collaboratively to design, evaluate, and disseminate research in team environments. As data scientists, these students will learn how to pose research questions, translate information into potential actions, develop data collection, analysis, and visualization schemes and protocols, and exchange information, data methods, and results tailored to various audiences. Educational resources developed during this study will then be available to guide future faculty development and training processes.

Read more here: 
&lt;a href="https://sites.tufts.edu/naumovalabs/solstice-info/"&gt;Visit Naumova Labs' SOLSTICE Information Page&lt;/a&gt;
DOI: 10.7910/dvn/l3tbtr
title: Replication Data for: Therapy, Mental health, and Human capital accumulation among adolescent girls in Uganda

description: This replication package contains the data and code necessary to replicate the analysis and reproduce all the tables and figures from the paper and online appendices.

Paper: Baird, Sarah, Berk Özler, Chiara Dell’Aira, Luca Parisotto, and Danish Us-Salam. "Therapy, Mental health, and Human capital accumulation among adolescent girls in Uganda." Journal of Development Economics (2025): 103473.

Abstract: Using a cluster-randomized controlled trial, this study evaluates the impact of group-based interpersonal therapy (IPT-G) on mental health and human capital accumulation among adolescent girls in Uganda who were at risk of moderate to severe depression at baseline. The study was designed to test whether lay provider–led IPT-G for adolescents could be effectively implemented using modest resources in a low-income country. It also tested whether a lump-sum cash transfer offered at the end of therapy provided any additional benefit. The therapy intervention alone increased the share of individuals with no depression by 5.4 percentage points (from 18.4% in the control group) 12 months after therapy, but these effects dissipated by the 30-month follow-up. Similarly, small positive effects on human capital accumulation at 12 months were not sustained at 30 months. Surprisingly, the marginal effect of offering cash transfers to IPT-G beneficiaries was large and negative on their mental health, persisting two years after baseline. The paper provides suggestive evidence that the adolescents were frustrated by their inability to use the cash toward their own goals because of the need to divert funds toward the essential needs of their families during the COVID-19 pandemic.
DOI: 10.7910/dvn/onfrvg
title: How Generative Artificial Intelligence Promotes Mathematics Education

description: This study proposes a formative assessment framework leveraging generative AI to evaluate self-generated problem-solving steps across four dimensions: rationality, innovation, quality of performance, and foundational skills.
DOI: 10.7910/dvn/8ds6qi
title: The "Syucai Science" Program : Zhanat Kozhamzharov

description: The "Syucai Science" Program
The Syucai Science program is evolving to focus more on the intersection of science and business. It is structured into three core modules, each designed to equip participants with essential skills and knowledge for integrating scientific research with business strategies.
Module 1: Career Orientation 
The first module of the program focuses on understanding of soft skills, which are essential for personal and professional success. It introduces the concept of 9 personality types, helping individuals identify and understand their unique traits, strengths, and weaknesses. The module explores the "institution" and "faculty" of a person—concepts that reflect one’s natural abilities and inclinations. By understanding these aspects, participants gain insight into how their personality influences their career choices and development.
In this module, learners work on enhancing key soft skills such as communication, empathy, teamwork, and emotional intelligence. These competencies are crucial for building strong interpersonal relationships and succeeding in dynamic professional environments. Through self-reflection and practical exercises, participants will improve their interpersonal abilities and become more effective in both personal and professional settings.
Module 2: Expert
The second module focuses on the development of hard skills. Participants learn to cultivate analytical and critical thinking skills, which are essential for solving complex problems and making data-driven decisions. This module emphasizes gaining proficiency in practical skills that are directly applicable to business and personal development.
Participants acquire the knowledge and tools needed to provide consultancy services, particularly in areas like business strategy and personal growth. They also deepen their understanding of specific technical areas, learning to become experts in their chosen fields. By developing these hard skills, participants will be better equipped to handle challenges in their careers and offer valuable insights to others.
Module 3: Coaching 
The final module introduces coaching, focusing on the application of 9 key competencies across three major realities: objective, subjective, and superobjective. In this module, participants learn how to apply these competencies in real-world situations, guiding individuals through challenges related to both personal and professional growth.
Additionally, the module integrates soft skills, hard skills, and global minds, allowing participants to develop a balanced approach to coaching. 
In summary, by the end of the program, participants will be equipped with the necessary tools to excel in the personal growth and business consultancy.
description: The Syucai Science program is evolving to focus more on the intersection of science and business. It is structured into three core modules, each designed to equip participants with essential skills and knowledge for integrating scientific research with business strategies.
DOI: 10.21233/e432-th20
title: Loche pollen surface sample dataset

description: Raw data for the Loche 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/vdrncf
title: A Hybrid Feature Selection Approach Incorporating Mutual Information and Genetics Algorithm for Web Server Attack Detection

description: Abstract
Objectives: To improve accuracy and reduce the computational overheads of Machine Learning (ML) classifiers to identify web server threats, develop a feature selection strategy that extracts pertinent and important features from the network dataset. Methods: This research work progressed in three phases i) Mutual Information (MI) was used first for the feature ranking and selection to reduce the dimension of feature space; ii) Genetic Algorithms (GA) were used to pick significant features for boosting the accuracy of ML classifiers; and iii) evaluates the performance of four ML classifiers; Naive Bayes (NB), k-Nearest Neighbor (k-NN), Random Forest (RF), and Support Vector Machine (SVM), using the selected features. The evaluation is conducted on the UNSW-NB 15 dataset, measuring accuracy, False Positive Rate (FPR), and computational time. Findings: The results indicate that the proposed feature selection method remarkably improves the accuracy of ML classifiers, reducing the number of features to just four. The accuracy of ML classifiers improved by 13.11%, resulting in a reduction of about 99% in computational time compared to the results reported in the literature. Novelty: A novel hybrid feature selection method is proposed, which combines feature reduction by MI, a filter-based method and further feature extraction by GA, a wrapper-based method. This approach effectively identifies essential features for enhancing the accuracy of ML classifiers.

Keywords

Genetic Algorithm, Feature Selections, Machine Learning, Mutual Information, Webserver Security
DOI: 10.7910/dvn/h5quqt
title: exoALMA X. Data Products

description: Data products associated with exoALMA X. channel maps reveal complex 12CO abundance distributions and a variety of kinematic structures with evidence for embedded planets. This includes hydrodynamical and radiative models.
DOI: 10.7910/dvn/vi4re3
title: Comparative Counterterrorism Project (CCTP) dataset version 1.0

description: The Comparative Counterterrorism Project (CCTP) dataset provides cross-national information on counterterrorism law enforcement, legislation, and border security changes from 2016-2019. The unit of observation in the dataset is the country-year.

This dataset was used for the analyses in "Comparative counterterrorism: All for One, but NOT One for All" in Terrorism: A Decolonial Approach (2025), eds. Sagnik Dutta, Tahir Abbas & Sylvia I. Bergh. Manchester University Press.
DOI: 10.7910/dvn/6dp10f
title: Heat and Health Index (HHI)

description: The Heat and Health Index (HHI) helps identify communities where people are most likely to feel the effects of heat on their health, in order to build towards a healthier and more heat-resilient future for all.
The Heat and Health Index (HHI) is a national tool that incorporates historical temperature, heat-related illness, and community characteristics data at the ZIP code level to identify areas most likely to experience negative health outcomes from heat and help communities prepare for heat in a changing climate. Each ZIP code has a single ranking for the overall HHI and rankings for individual components so that users can make informed decisions to prepare for and prevent the negative health impacts from heat in their communities.
description: Data downloaded on December 17, 2024 from https://ephtracking.cdc.gov/Applications/heatTracker/?page=detail3.
DOI: 10.7910/dvn/lryfya
title: WXS24

description: This report describes the results of a nationwide survey of Spanish speakers on severe weather in the United States. The 2024 Severe Weather and Society Spanish Survey (WXS24) was designed and administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. This is the fourth survey in the Severe Weather and Society Spanish series (see Krocak et al. 2021, Bitterman et al. 2023, and Bitterman et al. 2024 for information on WXS21, WXS22, and WXS23, respectively).WXS24 was fielded October 10 – November 7, 2024, using an online questionnaire that was completed by 412 U.S. adults (age 18+) that were recruited from an Internet panel. In order to complete the survey, respondents had to indicate that they speak Spanish “well” or “very well.” In addition to asking respondents many of the same questions as the WX surveys, the WXS surveys also asked respondents several experimental questions to test the way risk and probability are communicated to Spanish speakers. Like the WX surveys, the WX24 survey also includes more experiments related to SPC products and prototypes, including a test of the experimental interactive outlook and assessment of understanding, use and intended response for the Day 4-8 convective outlooks. This report presents an overview of methodology of the 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: 10.7910/dvn/lziijc
title: Replication Data for: The partisanship of mayors has no detectable effect on police spending, police employment, crime, or arrests

description: In this paper, we examine whether mayors’ partisan affiliations lead to differences in crime and policing. We use a large new dataset on mayoral elections and employ three differ- ent modern causal inference research designs (a regression discontinuity design centered around close elections and two robust difference-in-differences methods) to determine the causal effect of mayoral partisanship on crime, arrests, and racial differences in arrest pat- terns in medium and large US cities. We find no evidence that mayoral partisanship affects police employment or expenditures, police force or leadership demographics, overall crime rates, or numbers of arrests. At the same time, we find some suggestive evidence that may- oral partisanship may modestly affect the racial composition of arrests. Overall, the results from our multi-method analyses indicate that local partisan politics has little causal impact on crime and policing.
DOI: 10.7910/dvn/8msbxv
title: Networks of Coercion: Military Ties and Civilian Leadership Challenges in China

description: Abstract: Civilian-led coups are one of the most common routes to losing power in autocracies. How do authoritarian leaders secure themselves from civilian leadership challenges? We argue that autocrats differentiate civilian rivals in part by their social ties to the military. To reduce the threat of coup, leaders buy off civilians with strong military ties by promoting them to lower-tier institutions – but isolate these same civilians by denying them promotion to higher-tier institutions that afford opportunities to challenge the leader. We introduce an original dataset of over 117,000 postings of 34,140 Chinese military officers and map ties between the entire civilian and military elite between 1927 and 2014. We find that civilian leaders with strong ties to the military improve prospects for promotion to the Central Committee – but degrade the likelihood of promotion to the apex Politburo Standing Committee, particularly for civilians outside the leader’s social network.
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/l0usqu
title: Replication Data for: The Point of Attack: Where and Why Does Oil Cause Armed Conflict in Africa?

description: Prominent theories of conflict argue that belligerents fight to capture valuable rents (“prizes”) such as oil and other resources. Yet, we show that armed groups rarely attack sites with the most oil above or below ground, oil terminals and wells; only pipelines lead to conflict. To explain this finding, we integrate crisis bargaining and Blotto games. In our model, armed groups attack to steal oil and signal strength; anticipating the government’s defenses, these groups rarely target the biggest prizes, which are more fortified. Consistent with our model, we show that armed groups strategically randomize where they attack pipelines and that local and export prices for fuel have different effects on violence, because only export prices affect the government’s willingness to buy off would-be attackers. We revamp the prize logic for conflict to generate more accurate predictions and, in so doing, provide a rare real-world validation of a Blotto model.
DOI: 10.7910/dvn/8je4dn
title: Partial Innocence and Plea Bargain Decision-Making

description: Although research has focused on the “innocence problem”, “partial innocence” may also plague individuals who plead guilty to crimes they did not commit, but that are either comparable, more severe, or less severe than their actual crimes. Using a high-stakes experimental paradigm (Study 1) and two role-playing paradigms (Studies 2 & 3), we examined the psychology of experimentally-induced partial innocence on plea decisions. Participants were randomly induced to be either wholly innocent, guilty, or partially innocent of committing an academic transgression and then given the choice to accept or reject a plea deal to avoid disciplinary sanction. Partially innocent participants pled to cheating nearly as often as guilty participants and vastly more often than innocent participants. Partially innocent participants—not unlike guilty participants—experienced greater feelings of guilt than did innocent participants. In turn, these feelings of guilt, but not shame, were associated with taking responsibility for comparable, less severe, and more severe transgressions not committed.
description: All files and documentation available at: https://osf.io/v2r9e
DOI: 10.7910/dvn/hbrxvi
title: Data and analysis code for 'Sensory modality and information domain contribute jointly to dual-task interference between working memory and perceptual processing'

description: This project examined factors that influence interference between perceptual processing and information stored in working memory. Human participants completed a behavioral dual-task paradigm, while pupil size (reflecting task effort) and electroencephalography (EEG) data were recorded. Results show that when perceptual and memory tasks are presented in the same sensory modality and/or information domain (spatial vs. temporal), dual-task performance is worse, effort increases, and neural processing of stimulus events is interrupted.
DOI: 10.7910/dvn/nkpw79
title: Replication Data for: Out-Competing Rivals: Armed Group Governance and Civilian Attitudes in Colombia

description: data and associated replication files for the article "Out-Competing Rivals: Armed Group Governance and Civilian Attitudes in Colombia" by Erica De Bruin, Gabriella Levy, Livia Schubiger, and Michael Weintraub