cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/gi4war
title: Prediction of PROTAC nanoparticle self-assembly based on molecular descriptors: code repository

description: Code accompanying the manuscript "Tumor microenvironment-targeted PROTAC nanoparticle self-assembly broadly predicted by structural descriptors"
DOI: 10.7910/dvn/csfv8f
title: Replication Data for: Redistributive Policy Preferences: The Effects of Family Income and Poverty Attributions

description: Replication data for: Redistributive Policy Preferences: The Effects of Family Income and Poverty Attributions
DOI: 10.7910/dvn/3f1rgq
title: Replication Data for: How street-level bureaucrats’ traits affect community leaders' assessments of the government

description: Research shows that bureaucrats' performance is shaped by their personal traits, such as public service motivation, cognitive ability, grit, and "big five" personality. What impact do these traits have on citizen assessments of service delivery and governance? To test this question, we randomly assigned police officers to villages during a community-oriented policing program in the Philippines. This program involved meetings between police officers and community leaders -- citizens who serve as key conduits between the population and the state. We find that community leaders' assessments of individual officers were meaningfully affected by officers' personal traits, but those traits matter less for assessments of broader institutional efficacy. These findings suggest that bureaucrats' traits can improve public service provision by shaping how citizens approach encounters with specific government representatives. However, they place limits on the suggestion that exceptionally positive (or exceptionally negative) bureaucrats can shape attitudes towards state institutions more generally.
DOI: 10.7910/dvn/fprien
title: USGS Surface Water Information

description: USGS Hydro-Climatic Data Network (HCDN-2009). This data set is very small, consisting of just an EXCEL file with information on USGS stream gage stations that are unaffected by human interventions and therefore appropriate for use to evaluate historical hydrological observations that are attributable only to climatic variations. Updated in 2009. The actual streamflow data can be downloaded from https://waterdata.usgs.gov/nwis/sw.
DOI: 10.21233/f1ww-ft90
title: LDDsite954 water chemistry dataset

description: Raw data for the LDDsite954 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/fjcfe3
title: Extracted Data From: FEMA Community Disaster Resilience Zones

description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information &lt;br /&gt;&lt;br /&gt;

If you have questions about the underlying data stored here, please contact FEMA at FEMA-CDRZ@fema.dhs.gov . If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu.
&lt;br /&gt;
&lt;br /&gt;
&lt;blockquote&gt;"Community Disaster Resilience Zones aim to build and strengthen community resilience across the nation by driving federal, public, and private resources to the most at-risk and in-need communities.
&lt;br /&gt;
&lt;br /&gt;
The Community Disaster Resilience Zones Act uses FEMA’s National Risk Index to identify the most at-risk and in-need communities to identify resilience zones. Designated zones will be prioritized for targeted federal support, such as increased cost-share for resilience and mitigation projects, lessening the financial burden on communities to perform resilience-related activities.
&lt;br /&gt;
&lt;br /&gt;
In September 2023, FEMA announced the first 483 CDRZ in all 50 states and the District of Columbia. In November 2024, 275 census tracts were designated for Tribal Nations and U.S. territories and in January 2025, an additional 55 census tracts were designated for Tribal Nations."&lt;/blockquote&gt;
&lt;br /&gt;
&lt;br /&gt;[Quote from &lt;a href="https://experience.arcgis.com/experience/3fdfd0639ba0403e9414d05654449d32/page/Home/"&gt;https://experience.arcgis.com/experience/3fdfd0639ba0403e9414d05654449d32/page/Home/&lt;/a&gt;]
description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information.
FEMA data was downloaded by Jonathan Gilmour on 2025-02-03
description: Terms and conditions were captured directly from the FEMA Community Disaster Resilience Zones data download site (https://fema.maps.arcgis.com/home/item.html?id=a05ccbacd1174dddac38bd75bd304d18) and are pasted below:<br>
<br>
"Terms of Use<br>
The FEMA Community Disaster Resilience Zones data are available to the public at large with no constraints or limitations. If used, please reference the Federal Emergency Management Agency Community Disaster Resilience Zones “Designation Methodology” page, where there is information about the dataset’s methodology. For more information, please see the FEMA Community Disaster Resilience Zones webpage or contact the FEMA Community Disaster Resilience team."
DOI: 10.21233/dkbc-kj98
title: Hemlock Reservoir diatom bottom sample dataset

description: Raw data for the Hemlock Reservoir diatom bottom 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/fpkhz0
title: Replication Data for: Human antigen R as a therapeutic target in pathological cardiac hypertrophy

description: raw data used to generate figures in manuscript DOI 10.1172/jci.insight.121541; RNA-seq data has been deposited to NCBI Sequence Read Archive (https://www.ncbi.nlm.nih.gov/sra) and is available under the Bioproject PRJNA434656
DOI: 10.7910/dvn/un6i1a
title: novel risk stratification models by Biomarkers in ICU

description: novel risk stratification models by Biomarkers in ICU
DOI: 10.7910/dvn/3fuxmh
title: Utilização do "R" nas Pesquisas - FinCorp

description: Oficina sobre a utilização do R Studio nas pesquisas ministrada no grupo de pesquisa em finanças Corporativas (FinCorp) da UFSM.
DOI: 10.21233/23re-r660
title: Cedar Lake diatom dataset

description: Raw data for the Cedar Lake diatom 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/fpqhoc
title: Transporte Urbano y Rural en América Latina: Un Modelo de Análisis Situacional mediante Procesamiento de Minería de Texto con Comentarios en Redes Sociales

description: Ejemplo de Datos recolectados de redes sociales sobre Análisis de situación de transporte en países latinoamericanos.
Estudio de Minería de Textos
DOI: 10.21233/f7tb-sw13
title: White Oak Lake diatom surface sample dataset

description: Raw data for the White Oak Lake diatom 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/4yjfif
title: Replication Data for: The Minimum Wage and Intra-Industry Wage Differentials

description: This data replicates the entire figures and tables used in The minimum wage and intra-industry wage differentials.
DOI: 10.7910/dvn/jpqqnx
title: Case Selection and the Comparative Method
title: introducing the case selector

description: This is the program described in the 2018 European Political Science article. The CCIT is browser based software that allows the user to identify useful cases for comparative (most similar or most different) case study designs by examining a larger dataset of cases (.csv format)
DOI: 10.7910/dvn/3ccgsn
title: Replication Data for: The Effect of Reciprocity on Trust: International Cooperation and COVID Aid

description: Reciprocity is a well-known influence on international cooperation. However, we lack an explanation for how reciprocity at the international level affects individual beliefs and attitudes. How do people interpret situations where countries return favors, or fail to? In this study, we present a micro-level explanation of reciprocity based on the theoretical framework of Unbounded Generalized Reciprocity, where reciprocity operates as an informational shortcut about the trustworthiness of others. In an experimental survey of US adults, we test the roles of exposure to between-country reciprocity, perceived similarity, and costliness on trust toward a counterpart country, using the context of cooperation during the COVID-19 pandemic. We find that reciprocity, compared to a reciprocity violation, predicted significantly more trust, and this was not moderated by similarity or costliness. We interpret these results as supporting evidence that reciprocity, at the individual-level, acts as a heuristic tool for determining the trustworthiness of other countries.
DOI: 10.7910/dvn/3fpcrz
title: To drain or not to drain? A retrospective, two-center study comparing outcomes of thyroid and parathyroid surgery based on wound drainage

description: This is the data supporting our research paper entited "To drain or not to drain? A retrospective, two-center study comparing outcomes of thyroid and parathyroid surgery based on wound drainage."
DOI: 10.7910/dvn/rszh9b
title: Replication Data for: Model of Renter-Occupied Housing Market

description: The data set is used in research on the ROH market concept. Data comes from publicly available databases. The main data sources are Statistics Poland, Eurostat, National Bank of Poland and OLX Group (otodom.pl). The presented data set is intended to organize available data that can be used for analyses related to the main study.
DOI: 10.7910/dvn/ufbd2a
title: Single Ventricle

description: IIVC
DOI: 10.21233/gypa-0483
title: Swartswood Lake diatom surface sample dataset

description: Raw data for the Swartswood Lake diatom 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/39fzz1
title: Replication Data for: Biophysical modeling of thalamic reticular nucleus subpopulations and their differential contribution to network dynamics

description: Data to reproduce the figures of the paper.
DOI: 10.7910/dvn/3nfh41
title: The Supreme Spectacle: An Analysis of Public Attendance at the Supreme Court (Research Note)

description: Data for The Supreme Spectacle: An Analysis of Public Attendance at the Supreme Court (Research Note). 

This public attendance data was collected by researchers at SCOTUSblog as part of their October Term 2019-2020 Courtroom Access Special Feature (scotusblog.com/category/special-features/courtroom-access-2020/). Before using this data or replicating the findings, please receive permission from Amy Howe at SCOTUSblog (howe.amy@gmail.com).
description: Please receive permission from SCOTUSblog before replicating this data in any publication.
DOI: 10.7910/dvn/sacurb
title: Replication Data for: Do Soldiers Get a Say? Soldiers' Views and Public Support for Military Operations in Four Democracies

description: When deciding whether to support a military operation, do citizens in democracies
weigh whether soldiers themselves support the operation? Recent research has
concluded that, in the United States, public support for military operations rests in part
on people’s beliefs that soldiers favor their own deployment. However, it is not known
whether this finding extends beyond the United States to democracies with diverse
national citizenship discourses and threat profiles, and its theoretical basis is not well
understood. This article addresses both these gaps. Using novel survey data and an
experiment in four democracies with divergent citizenship traditions—France, Israel,
the United Kingdom, and the United States—we show that, in all four nations, support
for military operations depends significantly on whether people believe that soldiers
themselves favor the operation. We highlight two reasons: (1) battlefield performance:
respondents think that soldiers who favor their mission fight better; and (2) soldier
consent: humans’ capacity for empathy makes them sensitive to whether soldiers are
willingly sent into harm’s way. This article has significant implications for debates on
public support for the use of military force, the nature of citizenship in modern
democracies, and contemporary militarism.
description: Read-me file, log file, data files, and .do file to create all tables and figures in the main manuscript.
DOI: 10.21233/he5n-d515
title: Zeto Point [ADK-00011] [Kuluk Bay North] vertebrate fauna dataset

description: Raw data for the Zeto Point [ADK-00011] [Kuluk Bay North] vertebrate fauna 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/5ek3ys
title: Replication Data for: Austerity and Aggression: Government Responses to IMF Conditionality

description: The International Monetary Fund (IMF) offers countries emergency financial support in exchange for the implementation of stringent policy conditions that often cause political and economic upheaval in target states. How do leaders in borrower countries respond to the backlash from publics and elites that often emerges in these cases? We argue that leaders seek to divert attention from economic issues under IMF conditionality by employing security-oriented rhetoric and sparking low-cost skirmishes internationally. Such diversionary tactics may help leaders to skirt blame for the short-term economic costs of IMF-imposed structural adjustment by driving a rally-around-the-flag effect. We pair text analysis of ruling party manifestos with regression analysis of the relationship between IMF conditionality and the initiation of interstate disputes, finding support for our argument.
DOI: 10.7910/dvn/frs3jf
title: Quantum Blockchain

description: In a world where data forms the foundation of progress and prosperity, security gaps and inefficiencies threaten the stability of global systems.
The world is at a turning point: data is the backbone of modern societies, and its security determines the stability of economies, healthcare systems, and democratic structures. At the same time, technological advances in quantum physics present both opportunities and risks to existing systems. This paper explores how the fusion of quantum computing and blockchain technology can address security problems while creating a more just and sustainable world. Through interdisciplinary analyses and global case studies, this paper highlights how this synergy extends far beyond technology — it is a tool for humanity and progress.
DOI: 10.7910/dvn/ug9r61
title: Microseismic Events and Meteorological Data

description: 273789 microseismic events, each event in SAC format with a recording time of 4 seconds. The meteorological data consists of hourly wind speed, temperature, and wind direction recorded at Zhongshan Station from October 19, 2022, to February 28, 2023.
DOI: 10.7910/dvn/gh9tc4
title: Yolo Based Vision-Aided Obstacles Navigation and Avoidance with Path Planning using Sarsa Algorithm for Biped Robot in an Uncertain Hospital Environment

description: Abstract
Background: This paper presents a method devised to ensure the secure navigation of biped robots within hospital environments by meticulously identifying an optimal collision-free path from initial to final positions while mitigating potential damage from undetected small objects. Methods: Implementation of a modified SARSA algorithm facilitates the seamless movement of biped robots amidst unknown environments replete with static obstacles. Extensive evaluation of several YOLO algorithms is conducted to ascertain accurate vision-based obstacle detection within hospital images. Subsequent utilization of the SARSA algorithm enables the planning of obstacle-free paths within the identified hospital setting. Findings: Within the evaluated YOLO algorithms, Yolov8 emerges as the pinnacle, showcasing unparalleled accuracy in object identification and refining bounding box precision for robot navigation within complex hospital environments. The SARSA-based path planning ensures the creation of collision-free routes, affirming safe traversal for the biped robot. Particularly noteworthy is Yolov8's exceptional precision in detecting minute objects, significantly reducing collision risks. Novelty: This research marks a significant stride in advancing human-like path planning for biped robots maneuvering through intricate hospital settings. The emphasis on accurate object identification stands as a linchpin for guaranteeing the robot's secure traversal. Significance: The integration of Yolov8 substantially augments the biped robot's capacity to precisely detect small objects, thereby mitigating collision risks and potential damage. Moreover, the successful application of the SARSA algorithm in planning obstacle-free paths within complex hospital environments holds promise for augmenting real-world robot navigation, especially in sensitive environments like hospitals.

Keywords: Object Detection, YOLO Algorithm, Robotics, Unknown Environment, Obstacles Detection, Yolov8, Sarsa Algorithm, Path Planning
DOI: 10.7910/dvn/mwytf5
title: Modeling Market Turbulence: Nonlinear Time Series Approaches to Financial Shocks and Regulatory Impact

description: Financial markets are inherently complex and characterized by volatility, regime shifts, and nonlinear dynamics. This complexity necessities robust analytical frameworks for better understanding and forecasting market behavior. This study integrates traditional econometric models with advanced machine learning techniques to examine market turbulence, volatility forecasting, and the impact of regulatory interventions. By employing Markov Switching models, Threshold Autoregressive (TAR) models, and Smooth Transition Autoregressive (STAR) models, we capture regime shifts and asymmetries in financial time series. Realized Volatility (RV) and Realized GARCH models further refine volatility estimation at high frequencies. To detect sudden jumps and structural breaks, we apply the Barndorff-Nielsen and Shephard test which allowed us to identify abrupt market movements with statistical rigor. Wavelet transform analysis decomposes financial time series into frequency components, enhancing our understanding of multi-scale financial fluctuations. Moreover, Long Short-Term Memory (LSTM) networks are implemented to capture nonlinear dependencies and improve volatility forecasting. In parallel, Support Vector Machines (SVM) classify market conditions into crisis and stable periods, aiding in risk assessment and market monitoring. Furthermore, this study evaluates the effectiveness of regulatory policies and central bank interventions using event study analysis, measuring their impact on market volatility and investor sentiment. Sentiment analysis of financial news and central bank statements complements this, revealing how policy communication influences market reactions. The findings underscore the critical role of combining traditional econometric approaches with machine learning methodologies in financial market analysis. The results provide valuable insights for investors, policymakers, and financial institutions in developing data-driven strategies for risk management and market stability.
DOI: 10.21233/b40d-qa16
title: Nevali Cori specimen stable isotope dataset

description: Raw data for the Nevali Cori specimen stable isotope 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/3hqkth
title: Impact of Shorter Picking Intervals on the Storability and Postharvest Quality of Rabbiteye Blueberries cv. 'Brightwell'

description: Research Hypothesis, Findings, and Data Interpretation
We hypothesized that shorter harvest intervals would improve the postharvest quality and storability of rabbiteye blueberries (Vaccinium virgatum cv. ‘Brightwell’). Specifically, frequent harvesting (every 2–3 days) was expected to reduce berry damage, weight loss, and firmness deterioration while maintaining optimal sugar and acid content. In contrast, longer harvest intervals (seven days) were anticipated to lead to greater fruit deterioration due to prolonged field exposure.

To test this, blueberries were harvested at 2-day (Trt A), 3-day (Trt B), and 7-day (Trt C) intervals during the 2023 and 2024 seasons in Georgia, USA. After harvest, fruit was stored at 1°C and 85% relative humidity for 21 days, with quality assessments at 0, 7, 14, and 21 days. Parameters measured included berry damage (%), berry diameter (mm), weight loss (%), firmness (g/mm), total soluble solids (°Brix), titratable acidity (% citric acid), and anthocyanin concentration (mg cyanidin-3-glucoside/g FW).

Key Findings
Berry Damage and Weight Loss:

The 7-day harvest interval (Trt C) resulted in significantly higher berry damage and weight loss compared to 2-day and 3-day intervals.
Berries from shorter harvest intervals maintained a better overall appearance.
Firmness Retention:

The 7-day interval led to the most significant firmness decline during storage.
The 2-day and 3-day intervals better preserved fruit texture.
Total Soluble Solids and Titratable Acidity:

Sugar content remained stable across treatments.
Acidity levels declined more in the 7-day interval, likely due to extended field exposure.
Anthocyanin Concentration:

The 7-day interval berries had the highest anthocyanin content, suggesting extended ripening increased pigment accumulation.
However, this came at the expense of storability and texture.
Data Interpretation and Practical Implications
Optimal Harvest Interval: A 3-day harvest interval (Trt B) provided the best balance between minimizing postharvest losses and maintaining quality, making it a practical option for growers.
Postharvest Storage Considerations: Longer harvest intervals resulted in higher deterioration, requiring additional interventions (e.g., rapid cooling, packaging) to mitigate losses.
Anthocyanin Trade-off: While extended field exposure increased anthocyanin levels, it negatively impacted firmness and storability, suggesting that quality cannot be defined by pigment accumulation alone.
Conclusion
Our findings confirm that shorter harvest intervals significantly improve postharvest blueberry quality. A 3-day interval is recommended to optimize fruit storability while maintaining efficient harvesting operations. These insights provide valuable guidance for blueberry growers in warm climates seeking to extend marketability and reduce postharvest losses.