cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/xzrpwv
title: Characterization of magnetic field lines in connection with the transport of field lines in Beltrami magnetic fields

description: Single and double curl Beltrami magnetic fields are studied numerically in connection with their transport properties and the results are compared and analyzed by characterizing the magnetic field lines. In the phase space of single curl Beltrami field, islands of regular field lines are embedded into the chaotic sea. Whereas the field lines for certain solutions of double curl Beltrami field are chaotic over the entire space. Due to the presence of regular islands in phase space, the chaotic trajectories show stickiness phenomena which is characterized by the distribution of a chaotic field line. The dynamical traps in chaotic orbits due to stickiness phenomena are also characterized by the distribution of finite distance Lyapunov exponents. Finally recurrence time distribution of chaotic trajectories is plotted to understand their global behaviour.
description: PSFC REPORT PSFC/JA-18-51<br><br>AKR was supported by DoE Grant DE-FG02-91ER54109
DOI: 10.7910/dvn/y3bhvz
title: The Politics of Foreign Direct Investment: An Interactive Framework

description: Recent scholarship on the political determinants of foreign direct investment (FDI) point to the importance of a government's level of political capacity. Governments with high levels of capacity, it is argued, have the political power and economic resources to carry out preferred policy objectives. This line of reasoning, however, fails to provide insight into what these policy objectives are likely to include. The present study attempts to overcome this deficiency in the literature by modeling explicitly the interactive relationship between open market policy environments and relative political capacity (RPC). We argue that governments with open market policy frameworks and high levels of political capacity send clear signals of a political environment conducive to sustained profitability. Our empirical results confirm the expected interactive relationship, providing important insight into the expected effects of open market policies and political capacity.
DOI: 10.7910/dvn/4xka8i
title: Replication Data for: What Happens Depends on When It Happens: Copula-based Ordered Event History Analysis of Civil War Duration and Outcome

description: Scholars are interested in not just what event happens but also when the vent happens. If there is dependence among events or dependence between time and events, however, the currently common methods (e.g., competing risks approaches) produce biased estimates. To deal with these problems, this article proposes a new method of copula-based ordered event history analysis (COEHA). A merit of working with copulas is that, whatever marginal distributions time and event variables follow (including the Cox model), researchers can derive whatever joint distribution exists between the two. Application of the COEHA model to a dataset from civil wars supports two controversial hypotheses. First, as wars become longer, rebel victory becomes more likely but settlement does not (there is dependence between time and events at both tails). Second, stronger rebels make wars shorter but do not necessarily tend to win, as experts predict but fail to establish (rebels' strength shortens time but has no effect on which events occur). Supplementary materials for this article are available online.
DOI: 10.7910/dvn/oi9ia3
title: Replication Data for: Accuracy gains from conservative forecasting

description: Problem: Do conservative econometric models that comply with the Golden Rule of Forecasting provide more accurate forecasts? 
Methods: To test the effects of forecast accuracy, we applied three evidence-based guidelines to 19 published regression models used for forecasting 154 elections in Australia, Canada, Italy, Japan, Netherlands, Portugal, Spain, Turkey, U.K., and the U.S. The guidelines direct forecasters using causal models to be conservative to account for uncertainty by (I) modifying effect estimates to reflect uncertainty either by damping coefficients towards no effect or equalizing coefficients, (II) combining forecasts from diverse models, and (III) incorporating more knowledge by including more variables with known important effects. 
Findings: Modifying the econometric models to make them more conservative reduced forecast errors compared to forecasts from the original models: (I) Damping coefficients by 10% reduced error by 2% on average, although further damping generally harmed accuracy; modifying coefficients by equalizing coefficients consistently reduced errors with average error reductions between 2% and 8% depending on the level of equalizing. Averaging the original regression model forecast with an equal-weights model forecast reduced error by 7%. (II) Combining forecasts from two Australian models and from eight U.S. models reduced error by 14% and 36%, respectively. (III) Using more knowledge by including all six unique variables from the Australian models and all 24 unique variables from the U.S. models in equal-weight “knowledge models” reduced error by 10% and 43%, respectively.
Originality: This paper provides the first test of applying guidelines for conservative forecasting to established election forecasting models. 
Usefulness: Election forecasters can substantially improve the accuracy of forecasts from econometric models by following simple guidelines for conservative forecasting. Decision-makers can make better decisions when they are provided with models that are more realistic and forecasts that are more accurate.
DOI: 10.7910/dvn/oidzhb
title: Replication Data for: Observations of nighttime clouds over Chiba, Japan, using digital cameras and satellite images

description: Nighttime cloud cover over Chiba (201705 - 202003)
DOI: 10.7910/dvn/rhsdv3
title: Replication Data for:Perceptions of Turkey in the US Congress: A Twitter Data Analysis

description: This is a Replication Data for:Perceptions of Turkey in the US Congress: A Twitter Data Analysis. In the paper, we studied uses Twitter data analysis to investigate the views of United States (US) Members of Congress on Turkey, and to see if these perceptions reflect some of the trends in US-Turkey relations. Our initial view was that the Twitter conversations among Members of Congress appropriately reveal changes in the course of perceptions vis-a-vis relations between the two countries. With that assumption in mind, we evaluated Twitter data from 2009 to 2021, and analyzed it using statistical methodologies, network analysis, computational text analysis, and topic modeling tools. The findings indicate that Twitter data is a useful proxy for evaluating the perception of Turkey among US Members of Congress.
DOI: 10.7910/dvn/rr06jv
title: A08_17289.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/89d3aaa7-73b2-0be9-0e15-9a32b4ce447e'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/89d3aaa7-73b2-0be9-0e15-9a32b4ce447e
DOI: 10.7910/dvn/s0jrsu
title: Replication Data for: The Zika virus crisis during the 2016 Rio Olympic Games: a media cover analysis

description: The Zika virus epidemic in Brazil increased media coverage during the months leading up to the 2016 Olympic Games in Rio. The data include 1,034 headlines (from digital editions of the main Spanish daily newspapers) related to tourism security at the Olympic Games. This data were subjected to a content analysis, and a series of attributes were employed to approach the cognitive and affective components of information.
DOI: 10.7910/dvn/xy2tuk
title: Peaceful Uncertainty: When Power Shocks Do Not Create Commitment Problems

description: Does a shock to the balance of power cause the advantaged actor to exploit its newfound advantage by initiating conflict? The modeling literature on commitment problems as a source of war makes a central assumption that states know and anticipate power shifts. We relax this assumption such that states must estimate future power shifts by looking at past and present capabilities—both their own and those of their adversaries. We incorporate these estimates, and their attendant uncertainty, into a model of war. We find that commitment problems remain a source of war, but that the existing models overpredict war by ignoring this dynamic. States continuously updating their estimates and accounting for uncertainty promotes peace. It follows that the apparent window of opportunity—in which the power balance becomes suddenly favorable to one side—poses less of a threat to peace than previous theories suggest. This result has applications to nuclear proliferation dynamics and conflict in general. We find empirical support for the model in tests analyzing power shifts and interstate wars.
DOI: 10.7910/dvn/z4iklx
title: Replication Data for "Political Incorporation, Interrupted?"

description: Included here are four Stata datasets where missing values have been imputed multiple times using Amelia II software (m=100, random number seed=902). Stata .do and output files are included. File names indicate the corresponding tables in the article: Tables 1-3; Tables 4-6; and supplemental online tables.
description: Queries about these files can be directed to mccannj@purdue.edu. Question wordings and response codes are given in the supplemental online appendix.
DOI: 10.7910/dvn/ilo46v
title: Replication Data for: 'Machine Learning as a Tool for Hypothesis Generation'

description: The data and programs to replicate tables and figures from "Machine Learning as a Tool for Hypothesis Generation", by Ludwig and Mullainathan are too large to host on the Harvard Dataverse. They are available for download here: https://hu.sharepoint.com/:f:/s/HarvardEconomicsDatasets/Em1_iqOwFB5Ms5sz7kEzAoUBvJPLdL4-GwoJ8-aFVAsdPg?e=4Xwh48

Please see the README file for additional details.
DOI: 10.7910/dvn/kc40da
title: plant protection Arba Minch by arega

description: this dataset contain arbaminch crop protection actvities id dffrent crop suchas maize,wheat,banana
mango,faba bean
DOI: 10.7910/dvn/mpyi5d
title: Replication Data for: Online Surveys in Latin America

description: Online surveys of public opinion are cheaper and faster to administer than other surveys. But nonprobability online samples diverge from the gold standard of probabilistic sampling. Although scholars have examined the quality of nonprobability samples in the US and Europe, we know little about how these samples perform in developing contexts. We use nine online surveys fielded in six Latin American countries to examine the bias in these samples. We also ask whether two common tools researchers use to mitigate sample bias – post-stratification and sample matching – improve these online samples. We find that online samples in the region exhibit high levels of bias, even in countries where internet access is widespread. We also find that post-stratification does little to improve sample quality; sample matching outperforms the provider’s standard approach, but the gains are substantively small. This is partly because unequal internet access and lack of investment in panel recruitment means that providers are unlikely to have enough panelists in lower socioeconomic categories to draw representative online samples, regardless of the sampling method. Researchers who wish to draw conclusions about the attitudes or behaviors of the public as a whole in contexts like Latin America still need probability samples.
DOI: 10.7910/dvn/rxyjr6
title: Population Estimates for Districts and Parliamentary Constituencies in India, 2020

description: This dataset presents the estimated population for 736 districts and 543 parliamentary constituencies (PCs) in India in 2020. Population estimates were calculated by summing the population count across 100m × 100m pixels over the shapefile boundaries using the WorldPop raster data (https://www.worldpop.org/geodata/summary?id=6527). Both PC and District shapefiles were downloaded from the Community Created Maps of India (CCMA) project published by Data {Meet}. The district shapefile was edited in alignment with the latest district boundary of 2020. Districts of Mumbai and Mumbai Suburban were both reported under Mumbai
DOI: 10.7910/dvn/wzjqtm
title: Cardiovascular physiology and the renin-angiotensin system in trauma-exposed women

description: Cardiovascular physiology and the renin-angiotensin system in trauma-exposed women
DOI: 10.7910/dvn/xzzha5
title: AGGA: A Dataset of Academic Guidelines for Generative AIs

description: AGGA (Academic Guidelines for Generative AIs) is a dataset of 80 academic guidelines for the usage of generative AIs and large language models in academia, selected systematically and collected from official university websites across six continents. Comprising 181,225 words, the dataset supports natural language processing tasks such as language modeling, sentiment and semantic analysis, model synthesis, classification, and topic labeling. It can also serve as a benchmark for ambiguity detection and requirements categorization. This resource aims to facilitate research on AI governance in educational contexts, promoting a deeper understanding of the integration of AI technologies in academia.
DOI: 10.7910/dvn/z4dllg
title: Replication Data for: Group 2 | BARI (Harvard, Northeastern): Expanding Administrative Urban Knowledge with R and Big Data: “Boston Property Assessments FY2018”
title: Original Source File: City of Boston, Property Assessments FY2018 (https://data.boston.gov/dataset/e02c44d2-3c64-459c-8fe2-e1ce5f38a035/resource/fd351943-c2c6-4630-992d-3f895360febd/download/ast2018full.csv)
title: Urban Exploration, Translation, and Expansion of Dynamic Information Knowledge (Source: Property Assessments FY2018) using R statistical Functions

description: I. INTRODUCTION, AND IMPACT OF FINDINGS FOR FUTURE IMPLEMENTATION

Outcome: A quantitative ""data-story"" can be fully expressed in qualitative form as a means of expressing the interconnected nature of variables that contribute to a networked understanding to map the constantly evolving modern Urban Landscape.

 Enhanced allocative, fiscal, political, and social decision making lead to almost immediate positive externalities in terms of the connected urban landscape. Constant constraints of many different forms force decision-makers to make impulsive, rushed, and consequently uninformed decisions that are based merely on presuppositions. Constant construction of pathways between seamlessly unrelated sets of information derived from the existing, historic, and quantifiable data types will bring urban decision makers solution-based and preventative vs. reactive competitive advantage . These *NEW* ""Measures"" that we have calculated and defined only be achieved through the expansion of PUBLIC access to unit-level, which is one of the purposes of publishing reproducible findings for this dataset.
description: II. PURPOSE AND GOAL IN TERMS OF THE CONTRIBUTION TO UNCOVER INSIGHTS THAT HIGHLIGHT THE HOLISTIC FUNCTIONS OF THE CITY AND IMPROVE KNOWLEDGE
 
* Incorporate big data into the study and management of the City of Boston to develop new contextually rich value-added variables through integration of additional administrative records, GIS/geographic data (shape-file/JSON), demographic data etc. 
* Statistically analyze and explore output generated from the integrated data to uncover correlations that will provide increased confidence levels, understandability, and interpretability in relation to the economy, direct human behavior, government policies/decision making, and the environment. 
* Use Practical Aggregate Measures to accelerate assimilation of, and to leverage all facets of corresponding applicable data
* Finally, meticulously record, interpolate, hypothesize, and upload findings for a continuation of development.
description: --
Replication of Citation Metadata for "Group 2":
Dataset Persistent ID: doi:10.7910/DVN/PZCZSF
Title: Group 2
Author: 
Boston Area Research Initiative, BARI (Northeastern University / Harvard University) 
Charan Konanki, Sai (Northeastern University) 
Shah, Chaitya (Northeastern University) 
Jonah, Domenic (Northeastern University) - ORCID: 0000-0002-0212-1581
description: RStudio, 1.1.463
description: Power BI Desktop (R IDE Scripting with R Studio), 2.55.5010.641
DOI: 10.7910/dvn/z4gacs
title: What Kinds of Trade Liberalization Agreements Do People in Developing Countries Want?

description: One of the most striking developments in the global economy in the past decades is the rapid proliferation of preferential trade agreements (PTAs), with many of them concluded among or with participation of developing countries. On the presumption that current popular debates on trade policy are not so much about whether citizens want free trade but rather what kinds of trade liberalization they want, we examine individual trade policy preferences with regard to PTAs that can vary in content along several dimensions. To that end we carried out conjoint choice experiments embedded in representative surveys in three developing countries that differ strongly in income levels, political system, and trade liberalization history: Costa Rica, Nicaragua, and Vietnam. We conceptualize trade policy preferences as preferences over the scale and scope of trade liberalization, environmental and labor standards, and labor market access (migration). Two main findings emerge. First, non-economic considerations, such as sympathy/antipathy toward particular countries and environmental and labor rights concerns influence citizens’ preferences at least as much as factors based on standard economic logic. Second, preferences over particular facets (attributes) of trade liberalization, that is PTA content, are surprisingly consistent across countries, despite strong differences in macro-economic and political context.
DOI: 10.7910/dvn/adle0p
title: Forest Patch Size GIS Data Layer

description: GIS Layers used to create the Florida panther hunting habitat model, which include Cattle density, Distance from edge, Dominant landcover, Forest edge density, Forest patch size, Improved pasture patch size, Landcover, and Percent forest cover. Area of analysis defined by Minimum Convex Polygons created from Florida panther GPS telemetry data.
DOI: 10.7910/dvn/drhngp
title: A12_21550.JPG

description: Link to OCHRE database: &lt;a href = ''http://pi.lib.uchicago.edu/1001/org/ochre/83db937c-9a9f-4828-a1c1-ff621b718980'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/83db937c-9a9f-4828-a1c1-ff621b718980
DOI: 10.7910/dvn/dsd1jx
title: Waist-To-Hip Ratios of Pageant Winners and Models

description: These are data used in a very short 2002 paper challenging some dramatic evolutionary-psychological claims that had been made about the waist-to-hip ratios associated with beauty
DOI: 10.7910/dvn/gf08ry
title: Prognostic Value of Muscle Mass Measured via Brain Computed Tomography in Neurocritically Ill Patients

description: Background: To investigate whether skeletal muscle mass estimated via brain computed tomography (CT) can be used to predict neurological outcomes in neurocritically ill patients.
Methods: This is a retrospective, observational study. Adult patients who were admitted to the neurosurgical intensive care unit (ICU) in tertiary hospital from January 2010 to September 2019 were eligible. We included patients who were hospitalized in the neurosurgical ICU for more than 7 days. Cross-sectional areas of paravertebral muscle at the first cervical vertebra level (C1-CSA) and temporalis muscle thickness (TMT) on brain CT were measured to evaluate skeletal muscle mass. Primary outcome was Glasgow Outcome Scale score at 3 months.
Results: Among 189 patients, 167 (88.4%) survived until discharge from the hospital. Of these survivors, 81 (42.9%) patients had favorable neurologic outcomes. Initial TMT values and follow-up TMT values were higher in patients with favorable neurologic outcome compared to those with poor neurological outcome (p = 0.003 and p = 0.001, respectively). Initial the C1-CSA/body surface area was greater in patients with poor neurological outcome than in those with favorable outcome (p = 0.029). In multivariable analysis, age (adjusted odds ratio [OR]: 2.05, 95% confidence interval [CI]: 1.543–2.724), BMI (adjusted OR: 0.74, 95% CI: 0.638–0.849), use of mannitol (adjusted OR: 27.45, 95% CI: 4.833–155.860), change of C1-CSA (adjusted OR: 1.36, 95% CI: 1.054–1.761), and change of TMT (adjusted OR: 1.27, 95% CI: 1.028–1.576) were significantly associated with poor neurological outcome (Hosmer–Lemeshow test, Chi-square = 11.4, df = 8, p = 0.178) with the areas under curve of 0.803 (95% CI 0.740–0.866) using 10-fold cross validation method. Especially, the risk of poor neurologic outcome was proportional to changes of C1-CSA and TMT.
Conclusions: In this study, the follow-up skeletal muscle mass at first week from ICU admission, based on changes in C1-CSA and TMT, was associated with neurological prognosis in neurocritically ill patients. Eventually, brain CT-measured sarcopenia may be helpful in predicting poor neurological outcomes in these patients.
DOI: 10.7910/dvn/jecnmg
title: A98_9469.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1a64f455-282f-1c41-0291-343ba52b1794'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1a64f455-282f-1c41-0291-343ba52b1794
DOI: 10.7910/dvn/lv2caj
title: Replication Data for: "The Politics of Trade Adjustment vs. Trade Protection"

description: These files replicate the results in “The Politics of Trade Adjustment vs. Trade Protection”.
DOI: 10.7910/dvn/mpt2oj
title: Voltage Data for Households

description: Voltage data at households in Power Quality and Modern Energy for All Study. Columns include: id, datetime, frequency (hz), voltage (volt), timestamp, MACaddress
DOI: 10.7910/dvn/oik95u
title: The Participatory Implications of Racialized Policy Feedbacks

description: How do involuntary interactions with authoritarian institutions shape political engagement? Policy feedback literature suggests interactions with authoritarian policies undercut political participation. However, research in racial and ethnic politics offers reason to believe that these experiences may increase citizens' engagement. Drawing on group attachment and discrimination research, we argue that mobilization is contingent on individuals’ political psychological state. Relative to their counterparts, individuals with a politicized group identity will display higher odds of political engagement when exposed to authoritarian institutions. To evaluate our theory, we draw on the 2016 Collaborative Multiracial Post-Election Study to examine the experiences of Blacks, Latinos and Asian Americans. For all subgroups, we find that for those with a politicized group identity, institutional contact is associated with higher odds of participation. This pattern holds across different types of institutions. Our research modifies the classic policy feedbacks framework, which neglects group-based narratives in the calculus of collective action.
DOI: 10.7910/dvn/ryqaac
title: Replication Data for: Self-legitimation in the face of politicization: "Why international organizations centralized public communication" RIO

description: Ecker-Ehrhardt, Matthias. "Self-legitimation in the face of politicization: Why international organizations centralized public communication." The Review of International Organizations (2017): 1-28. online first.
DOI: 10.7910/dvn/xy5bsc
title: KPC August 2000

description: Kibale Party Composition files from 2000-01-01 to 2000-01-31 include 36 files. Access to these files is restricted. Please contact Dr. Zarin Machanda (machanda@fas.harvard.edu) for permission.
DOI: 10.7910/dvn/z2sc9j
title: Replication Data for: Analyzing Single-Action Bias in Dynamic Climate Change Environments: Insights from Feedback and Probability

description: The raw data file used for computing the results presented in the corresponding manuscript. There are data files for all the four condition employed within the experiments.