cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/5ryrlx
title: Walkability Index of Barranquilla, Colombia, 2016

description: This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/. 

The data were created using information from 2016, so the index reflects input variables for that year. For instance, there were areas with no population that have changed over time. In addition, the urban perimeter includes some areas that were not part of the 2016 study (i.e. Corregimiento La Playa) and are therefore not included
in the dataset. More information about the data can be found in the accompanying publication.
DOI: 10.7910/dvn/gvnjya
title: Replication Data for: Analysis of the Number of Days Lost Due to Occupational Accidents Resulting in Temporary Incapacity for Work with Machine Learning

description: The data is used to explain which causes or factors are important underlying the number of days lost as a result of occupational accidents resulting in temporary incapacity for work.
DOI: 10.7910/dvn/siq6nr
title: Data Complexity-Based Evaluation Using Brain Magnetic Resonance Images to Determine Alzheimer’s Disease

description: Abstract
Objectives: This study aims to develop a robust diagnostic model for Alzheimer's Disease using a curated MRI dataset from Kaggle, integrating the BABC algorithm with a Random Forest classifier for precise classification. Methods : Feature extraction employed a modified LeNet model, effectively capturing crucial low-intensity pixel information. Additionally, the study integrated a binary version of the BABC algorithm for streamlined feature selection, enhancing data dimensionality and overall model efficacy. Findings : The study's findings mark a notable breakthrough in Alzheimer's Disease (AD) diagnosis. The model, which seamlessly combines the Biologically Inspired Artificial Bee Colony (BABC) algorithm and the Random Forest (RF) classifier, achieved an impressive accuracy of 98.97%. Furthermore, it exhibited a high recall rate of 97.22% and maintained precise precision at 97.59%. The robust F1-Score reached 98.63%, and a noteworthy specificity of 96.12% highlighted the model's ability to accurately classify diverse AD stages. Notably, the incorporation of a comprehensive confusion matrix enriched the study, offering profound insights into the model's predictive prowess. This comprehensive evaluation underscores the model's reliability and effectiveness in identifying various AD stages, positioning it as a promising tool for clinical diagnosis and research in neurodegenerative disorders. The proposed study's diagnostic model facilitates early intervention and effective treatment by identifying individuals at risk of Alzheimer's disease through cognitive assessments, neuroimaging, and biomarker analysis. Novelty: The integration of BABC with RF enhances AD diagnosis, promising improved accuracy and specificity, and fostering more effective management and treatment strategies.

Keywords: Alzheimer's disease, Deep Neural Network, Magnetic resonance imaging, Machine learning, Random Forest
DOI: 10.21233/szdg-9q68
title: LDDsite1630 water chemistry dataset

description: Raw data for the LDDsite1630 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/nf4ysa
title: Replication Data for: The Promise of a Better Past: Media, Authoritarian Nostalgia, and the Far Right

description: 6000 fully annotated articles with all the metrics used in the paper's content analyses of authoritarian nostalgia as well as the respective survey data.
DOI: 10.7910/dvn/nejn1k
title: Replication Data for: Business Engagement in Gender Equality Policy: Roles, Contributions and Expectations

description: Businesses have traditionally been seen as reluctant participants in equality policy initiatives. However, emerging governance guidelines increasingly advocate for gender mainstreaming, encouraging active business engagement. Our research examines this potential transformation, focusing on the role of businesses adopting Corporate Social Responsibility (CSR) practices compared to traditional equality policy actors—governments, equality organisations, and academia—within the Colombian context. Using a collaborative governance framework and participatory decision-making techniques, we identify potential role shifts towards proactivity and specific contributions from each actor group. Our findings highlight discordant mutual expectations, or "role mismatches," and divergent perceptions within the business sector, which may undermine traditional actors. These insights emphasise the risks inherent in business participation in equality policy. By delineating contributions and clarifying self-perceptions and mutual expectations, we offer a practical approach to designing participatory processes that foster mutual recognition, trust, and shared responsibility as foundations for advancing equality policies.
DOI: 10.7910/dvn/tzkqs0
title: CHAIR - India Annual 1km x 1km Modeled PM2.5 2008 - 2022

description: The work is led and coordinated centrally through the Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (PI Petter Ljungman) in close collaboration with the Centre for Chronic Disease Control, Delhi, India (PI Dorairaj Prabhakaran), Centre for Health Analytics Research and Trends, Trivedi School of Biosciences, Ashoka University (PI Poornima Prabhakaran) and Department of Environmental Health, Harvard T H Chan School of Public Health (PI Joel Schwartz). We developed a model for annual average ambient PM2.5 between 2008 and 2020 based on monitoring data, meteorology, land use, satellite observations, and emissions inventories. Annual average predictions at each 1 km × 1 km grid from each learner were ensembled using a Gaussian process regression with anisotropic smoothing over spatial coordinates, and regression calibration was used to account for exposure error.
DOI: 10.21233/7v2x-1303
title: PRCO15 pollen surface sample dataset

description: Raw data for the PRCO15 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/cnlijo
title: Replication data for "Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia"

description: This dataset supports the replication of results presented in "Estimating the Direct and Indirect Effects of Improved Seed Adoption on Yields: Evidence from DNA-Fingerprinting, Crop Cuts, and Self-Reporting in Ethiopia" (2025) by Nina Jovanovic and Jacob Ricker-Gilbert, published in the Journal of Development Economics. The data originates from the 2018/19 Ethiopia Socio-economic Survey conducted by the Central Statistical Agency of Ethiopia. &lt;/p&gt;

The dataset combines DNA-fingerprinting of maize seeds, GPS-based plot size measurements, and crop cut data, facilitating robust comparisons with farmers’ self-reported data on seed varieties, land area, and harvested quantities. &lt;/p&gt;

An accompanying do-file contains the Stata code required to replicate the analysis presented in the paper. The dataset has been cleaned and transformed for analytical purposes, including:&lt;/p&gt;

&lt;b&gt;Missing Data Management&lt;/b&gt;: Mean imputation for continuous variables. &lt;/p&gt;
&lt;b&gt;Outlier Treatment&lt;/b&gt;: Winsorized crop yield data. &lt;/p&gt;
This comprehensive dataset and code package enable researchers to validate and build upon the study's findings.
description: Household- and Community-level Surveys
description: Replication Data
DOI: 10.7910/dvn/skn3sm
title: MicroCT scan of Plethodon cinereus, stage 18: image stack in y-z plane

description: Micro-computed tomography scan of a stage-18 embryo of the red-backed salamander, Plethodon cinereus, used in a study of lung development by Zachary Lewis, Ryan Kerney and James Hanken.
DOI: 10.7910/dvn/gwbnst
title: Executive Agreements Database, Statement Regarding Amendment No. 10 to the Grant Agreement Between The United States and Bolivia For The Forest, Water and Biodiversity resources Managed For Sustained Economic Growth Signed At La Paz June 10, 2003

description: KAV 6679

cover memo
DOI: 10.7910/dvn/s1r72i
title: Clientelism and Programmatic Redistribution: Replication Data

description: This dataset gives access to the R scripts and anonymized survey microdata to replicate the main findings and those in the appendix.
DOI: 10.21233/z6w8-0j47
title: Elbow Lake diatom dataset

description: Raw data for the Elbow 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/rumnit
title: Data for "A Two-Step Method for Monitoring Annual Paddy Rice Planted Area in Tropical Region by Integrating Rice Identification and Cropping Intensity Estimation"

description: This dataset accompanies the research article "A Two-Step Method for Monitoring Annual Paddy Rice Planted Area in Tropical Region by Integrating Rice Identification and Cropping Intensity Estimation" , comprising two primary components for Vietnam in 2020: (1) the high-resolution paddy rice spatial distribution data and (2) the paddy rice cropping intensity data.
The paddy rice spatial distribution data was generated through a machine learning workflow where Random Forest classifier was trained using rice/non-rice samples and features extracted from Sentinel-1 SAR and Sentinel-2 MSI images. This classification process was specifically constrained within the Rice Potential Zone (RPZ) to enhance accuracy. Based on the fine spatial distribution of paddy rice, the Sentinel-1 SAR time series images were smoothed by Harmonic Analysis of Time Series (HANTS), and then the quadratic difference method was used to generate the cropping intensity information of rice.
Please refer to the original article for more details on the methodology and implementation. DOI: https://doi.org/10.1109/tgrs.2025.3549296
description: The rice spatial distribution and rice cropping intensity data at 10-meter resolution for Vietnam in 2020 are single-band GeoTIFF files in GCS_WGS_1984 coordinate system:

1. rice_spatial_distribution.tif, 
the pixel values of 1 correspond to paddy rice.

2. rice_cropping_intensity.tif, 
the pixel values represent paddy rice cropping frequency:
1 = Single cropping rice;
2 = Double cropping rice;
3 = Triple cropping rice.
description: Google Earth Engine
DOI: 10.7910/dvn/rinbpr
title: Replication Data for: "It is important to consult" a linguist: Verb-Argument Constructions in ChatGPT and human experts’ medical and financial advice

description: This repository contains the information needed to recreate the analysis presented in the paper of this title. The questions and responses from human experts and ChatGPT3.5 web are taken from the data published with the paper "How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection": https://arxiv.org/abs/2301.07597.

That material can be directly downloaded from this Hugging Face repository: https://github.com/Hello-SimpleAI/chatgpt-comparison-detection.

Descriptions of the origins of the questions, human responses and procedure for querying ChatGPT3.5 can be found in the paper.
DOI: 10.7910/dvn/ryahyv
title: Smoak et al 2025 data set

description: The medial prefrontal cortex (mPFC) plays a critical role in emotional regulation, and its
dysregulation is linked to anxiety disorders. In particular, the prelimbic cortex (PrL) of the mPFC is thought to modulate anxiety-related behaviors, though its precise role remains debated. Here, we used endoscopic in vivo calcium imaging to assess PrL neuronal activity in male and female Sprague-Dawley rats performing in the Elevated Plus Maze (EPM), a widely used task to measure anxiety-like behavior. We found that animals that spent less time in the open arms exhibited higher PrL activity in the open arms, suggesting that heightened PrL activity may reflect greater anxiety or increased avoidance behavior. These results suggest that the PrL may play a role in regulating the emotional response to anxiety-provoking situations, potentially influencing the tolerance for exposure to threatening environments. This dataset contains the data supporting these findings
DOI: 10.7910/dvn/jzhc0v
title: Replication Data for Military policy preferences of a conflict-dependent country: A study of Israel’s political use of force

description: The political use of force refers to the actions of political leaders who resort to military means with the intention of protecting their political lives and reputations. This is a high-risk choice that may not gain the intended support because it risks the lives of soldiers. Therefore, even in the case of military policy, leaders avoid risk by adopting defensive rather than aggressive measures. In this case, the question is whether defensive rather than offensive measures exert the same rally effect that leaders hope for and whether they avert a crisis in a leader’s political life. To answer this question, we conducted a survey experiment in Israel. The results revealed that in terms of support gained, defensive measures, such as the separation wall and strengthening of the Iron Dome, did not differ from the expression of regret. Therefore, it is believed that Israel prefers offensive measures, even in wars wherein leaders in danger of being reelected appeal to military force.
DOI: 10.21233/hvcs-p311
title: LDDsite3261 ostracode surface sample dataset

description: Raw data for the LDDsite3261 ostracode 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/gcbue2
title: hou01442c00704

description: Slave registration documents from Puerto Rico, 1868-1872., 1868-1872.
description: URN-3:FHCL.HOUGH:100998799
DOI: 10.7910/dvn/kvuqee
title: Tamsui

description: Tamsui is a series of tables and text files associated with: Returns of trade at the port of ... for the year .... Created by: China. Hai guan zong shui wu si shu. 
description: Returns of trade at the port of ... for the year ...
DOI: 10.7910/dvn/sj1pbs
title: Geographic Boundaries of the Municipality of Bogota, Colombia, 2022

description: This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/. This dataset contains the geographic boundaries of the municipality of Bogota, Colombia as of 2022. Data obtained from "Datos Abiertos Bogotá" on their official website: https://datosabiertos.bogota.gov.co/. The data were consolidated by the Secretaría Distrital de Planeación (SDP) and openly
published on the previously mentioned site. No modifications were made to the original polygon. The following attributes were added: ID_MUN and NAME.
DOI: 10.7910/dvn/gvgqtl
title: Sugarcane roots

description: Fieldnote and photograph of sugarcane roots.
DOI: 10.7910/dvn/ikibyi
title: Luteibacter_sp

description: Genome assembly and genome annotation of a potentially new species of Luteibacter detected by long read (PacBio_SMRT) sequencing of Thecaphora frezii teliospores. T. frezii is the fungal pathogen that causes peanut smut disease.
description: This genome sequence of the new Luteibacter sp. has ~77% similarity to the genome of Luteibacter aegosomatissinici, though it has 99% identity in the 16S-23S rRNA region.
DOI: 10.21233/b3f9-ys96
title: Bernard Creek Rockshelter [10Ih483] vertebrate fauna dataset

description: Raw data for the Bernard Creek Rockshelter [10Ih483] 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/iwhtck
title: Stable Futures: Bridging Science, Blockchain & Global Finance

description: In an age of unprecedented technological upheaval, stablecoins stand poised to reshape the very foundations of money, commerce, and financial inclusion. Stable Futures: Bridging Science, Blockchain & Global Finance is a groundbreaking exploration of how decentralized science, visionary philosophy, and community‑driven education converge to forge a resilient, transparent, and equitable digital economy.

Drawing on Dr. Justin Goldston’s interdisciplinary theories—from the dynamic equilibria of fusion plasma physics and the emergent order of cosmology to the ethical imperatives of metaphysics and the holistic insights of systems thinking—this book reveals how advanced scientific principles can be translated into smart‑contract architectures that self‑regulate, self‑heal, and scale seamlessly from small towns to global trading hubs. You’ll journey through real‑world case studies—from municipal pilots in Asheboro, NC, and Zug’s Crypto Valley to mobile‑first innovations in Nairobi—demonstrating how stablecoins are already streamlining payments, reducing friction, and empowering underserved communities.

Beyond technology, Stable Futures: Bridging Science, Blockchain & Global Finance makes a powerful case for education as the keystone of financial empowerment. Leveraging the Stellar Development Foundation’s landmark literacy study, the authors introduce the Gemach Pedagogy: an interactive, gamified learning ecosystem that equips users with the knowledge, confidence, and tools to participate fully in the digital financial revolution. Whether you’re a regulator mapping out compliance strategies, a developer building quantum‑resistant protocols, an educator designing community workshops, or an entrepreneur seeking to harness stablecoins for social impact, this book delivers the blueprints, frameworks, and visionary inspiration you need to lead the charge.

Advance your understanding of stablecoins as more than digital assets—as catalysts for inclusive growth, pillars of local resilience, and harbingers of a truly global, cashless future. Welcome to the definitive guide for architects of tomorrow’s financial landscape.
DOI: 10.7910/dvn/g65r6v
title: Replication Data for: The Determinants of Insurgent Gender Governance

description: Under what conditions do insurgents challenge gender norms in the midst of conflict? What do they gain by doing so? Using an original dataset of 137 armed groups fighting between 1950 and 2019, I argue that armed groups challenge gender customs to reshape local power relations. With 40% of rebel groups regulating civilian gender customs during civil war, this strategy is remarkably widespread, comparable to
the provision of taxation or basic security in its prevalence (Albert 2022). I demonstrate
that armed groups exploit pre-existing gender grievances, using strategies like punishing domestic violence (9% of groups), banning dowries (15%) and enforcing dress codes (11%) in order to empower targeted sub-sections of the population and undermine local elites. I combine cross-national analysis with qualitative case studies examining Al-Qaeda in the Islamic Maghreb and Katiba Macina, two Islamist groups in Mali. This allows me to demonstrate how approach to local elites drives gender governance in two groups with a shared ideology, goals and societal context.
DOI: 10.7910/dvn/gddmsa
title: Enlarging Error Detection Threshold of IMU-based Hand Tracking in VR with Haptic Feedback

description: This dataset contains raw and processed data from four psychophysical experiments on finger‑tracking error perception in VR. 
It includes: 
• Exp 1–2: MOCAP‑based trials with synthetic 3‑D perturbations (no haptics vs. true/false cutaneous feedback) 
• Exp 3–4: Wearable IMU‑based trials with realistic sensor noise and drift (no haptics vs. true/false feedback) 
Each .txt file records trial‑by‑trial responses, timing, applied error magnitudes, 3‑D vectors, fingertip positions, and HMD poses. 
A README.md explains column definitions, units (all in cm), and the half‑scale + rotation preprocessing steps.
DOI: 10.7910/dvn/kb66t9
title: Data for Narratives from Commercial, Business-Focused, Industrial Reports and Articles on Quantum Technology

description: This dataset contains a Python file (2025 BERTopic Work.py), an Excel file (final_updated_topics.xlsx), and txt files. The Python file shows the code to run BERTopic, sentiment, and emotion analysis for the paper "Narratives from Commercial, Business-Focused, Industrial Reports and Articles on Quantum Technology". The Excel file shows the results of the BERTopic topic modeling analysis, how we merged the topics, and how we grouped the topics by common themes. The txt files are the documents we gathered and used for our analyses.
DOI: 10.7910/dvn/5t5txe
title: Native Medical CNN Model Training Records before and after Optimization

description: The model is for colon cancer tissue classification. In order to increase the complexity of the classification task, this research collectively applied NCT-CRC-HE-100K (n = 100,000) and CRC-VAL-HE-7K (n = 7,180) to increase the volume and variety of the dataset.
DOI: 10.7910/dvn/tqh1dn
title: Iran Uranium Enrichment Post-JCPOA (2019-2024)

description: This project developed an open-source dataset compiling, estimating, and standardizing Iranian uranium enrichment and centrifuge development measurements from the International Atomic Energy Agency (IAEA)’s Verification and monitoring in the Islamic Republic of Iran in light of United Nations Security Council resolution 2231 (2015) reports. The dataset follows enrichment activity at the Natanz Fuel Enrichment Plant (FEP), Fordow Fuel Enrichment Plan (FFEP), and Pilot Fuel Enrichment Plant (PFEP). It begins on March 3, 2019, the last set of IAEA visits that Iran complied with JCPOA requirements, and continues until the most recent report on November 17, 2024.
description: The data is derived from a series of reports by the International Atomic Energy Agency (IAEA) on Iran's compliance with UNSC Resolution 2231 (2015), publicly available on the IAEA website. These reports span from 2019 to 2024. These documents were selected as primary sources due to their authoritative and detailed nature, offering direct insights into Iran's nuclear activities and compliance monitoring.