cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28731221.v1
title: Electoral Preferences and Regional Economies in Romania’s 2024 Presidential Elections: Local-Level Results, Sectoral Indicators, and Spatial Models

description: <b>Abstract: </b>This repository contains the full dataset and model implementation for the analysis of voting patterns in Romania's 2024 presidential elections, focusing on the relationship between territorial economic structures and electoral preferences. The models estimate vote dominance at LAU level using sectoral, demographic, and regional predictors, including spatial autoregression. Particular attention is given to the overrepresentation of Bucharest in national-level FDI statistics, which is corrected through a GDP-based imputation model. For reproducibility, the repository includes: Cleaned and structured input data (LAU, NUTS3), all modelling scripts in R, Tableau maps for visual analysis and public presentation.<br><b>File Descriptions</b><b>LAU.csv</b>This dataset contains the local-level electoral and socio-economic data for all Romanian LAU2 units used in the spatial and statistical analyses. The file is used as the base for all models and includes identifiers for merging with the shapefile or spatial weights. It includes:- Electoral results by presidential candidate (2024, simulated),- Dominant vote type per locality,- Sectoral employment categories,- Demographic variables (ethnicity, education, age),- Regional and metropolitan classifications,- Weights for modelling.<b>NUTS3.csv</b>This dataset provides county-level economic indicators (GDP and FDI) over the period 2011–2022. The file supports the construction of regional indicators such as FDI-to-GDP ratios and export structure. Notably, the file includes both original and corrected values of FDI for Bucharest, following the imputation procedure described in the model script.<b>model.R</b>This R script contains the full modelling pipeline. The script includes both a model variant with Bucharest excluded and an alternative version using corrected FDI values, confirming the robustness of coefficients across specifications. It includes:- Pre-processing of LAU and NUTS3 data,- Imputation of Bucharest FDI using a linear model on GDP,- Survey-weighted logistic regression models for vote dominance per candidate,- Multinomial and hierarchical logistic models,- Seemingly Unrelated Regressions (SUR),- Spatial error models (SEM),- Principal Component Analysis on SEM residuals,- Latent dominance prediction using softmax transformation,- Export of predicted latent vote maps.<br><b>Maps.twbx</b>This Tableau workbook contains all final cartographic representations.The workbook uses a consistent colour palette based on candidate-typified economic structures (industry, services, agriculture, shrinking).- Choropleth maps of dominant vote by candidate,- Gradients reflecting latent probabilities from spatial models,- Maps of residuals and ideological factor scores (PCA-derived),- Sectoral economic geographies per county and per locality,- Overlay of dominant vote and sectoral transformation types.
DOI: 10.17632/x64srrc39p
title: Dataset on cadaveric human abdominal aorta aneurysm biomechanics (uniaxial) and histology

description: The present dataset is a collection of information about the biomechanical behavior and histological characterization of abdominal aortic aneurysms (AAA) harvested during the autopsy procedure. The primary hypothesis of the present research is: Do cadaveric AAA walls, when previously stressed by inflation, conserve significant resistance against tearing comparable to no previously stressed aortas described in the literature? Eight AAAs (6 fusiform and two saccular) were carefully dissected and had their branches ligated with cotton or prolene sutures. Each specimen has been submitted to intraluminal pressurization, up to the rupture of their wall. This pressurization was made through the inflation of an air balloon inside the specimens up to their rupture. Four samples were collected from each specimen (two from each side of the rupture border and two control samples, one from a proximal and a second from a distal no dilated region of the vessel) for uniaxial tensile tests and histological analysis. The uniaxial tensile test utilized the INSTRON SPEC 2200 device and was coordinated by INSPEC software and SERIES IX software. The variables measured through this test were failure stress, failure tension, and failure strain. Each sample test generated a chart representing the relationship between stress and strain. The histological analysis included Picrosirius (collagen fibers) and Voerhoeff (elastic fibers) stains. Unfortunately, some samples were lost, especially during histological processing. A quantitative analysis (collagen and elastic fibers) was made using the software Pannoramic Viewer/Case Viewer.1 Notable findings: Even after being stretched/stressed up to their rupture, the specimens conserved uniaxial biomechanical properties comparable to AAA and normal aorta samples previously described in the literature by Monteiro e Nynomiya respectively.2,3 DATA DESCRIPTION: a) Biomechanical Data: For each valid sample test, three documents are generated: 1. Stress X strain chart 2. Table (excel file containing all the values related to the stress X strain chart 3. A report from the Biomechanical test software containing details of the test All charts contain a notification in their left upper corner about the failure stress, strain and tension of each sample. It is important to highlight here that some samples did not produce valid biomechanical tests, so they do not have their results included here. b) Histological Data: The percentage of coverage of collagen fibers and elastin fibers is expressed in table I in decimal numbers (for example, 0.36 = 36%). Similarly to the sampling for biomechanical tests, four samples were harvested from each aorta, when it was feasible. Each case has a "histology files" folder containing the images (.JPG) used for the analysis. Ps.: Case C samples (histology) were damaged during processing (therefore they were not included in the present dataset).
DOI: 10.6084/m9.figshare.5241187.v1
title: Erratum: Early-Life Predictors of Higher Body Mass Index in Healthy Children

description: <i>Background/Aims:</i> Childhood obesity tracks into adulthood, and may increase diabetes and cardiovascular disease risk in adulthood. Prospective analyses may better define the pathways between early life factors and greater childhood body mass index (BMI), a measure of obesity. <i>Methods:</i> The Diabetes Autoimmunity Study in the Young (DAISY) prospectively follows children from birth that are at increased genetic risk for type 1 diabetes. We examined longitudinal data for 1,178 DAISY subjects (mean age at last follow-up: 6.59 years (range: 2.0–11.5 years). Birth size and diabetes exposure in utero were collected in the enrollment interview. Infant diet information was collected via interviews throughout infancy. Infant weight gain and childhood BMI were measured at clinic visits. <i>Results:</i> Female gender, diabetes exposure in utero, larger size for gestational age, shorter breastfeeding duration, and more rapid infant weight gain predicted higher childhood BMI. Formal mediation analysis suggests the effect of shorter breastfeeding duration on childhood BMI may be mediated by more rapid infant weight gain. Also, the effect of diabetes exposure in utero on childhood BMI may be mediated by larger size for gestational age. <i>Conclusion:</i> We identified strong interrelationships between early life factors and childhood BMI. Understanding these pathways may aid childhood obesity prevention efforts.
DOI: 10.17632/5db8mtw4wg
title: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs

description: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs

Data abstract:
- Despite the importance, relatively little attention has been paid to vehicle routing problems with asymmetric costs (ACVRPs), or their benchmark instances. 
- Taking advantage of recent advances in map application programming interfaces (APIs) and shared spatial data, this paper proposes new realistic sets of ACVRP benchmark instances. 
- The spatial data of urban distribution centers, postal hubs, large shopping malls, residential complexes, restaurant businesses, and convenience stores are used. 
- To create distance and time matrices, the T map API, one of the most frequently used real time path analysis and distance measurement tools in South Korea, is used. 

54 data sets are provided
For each data set, 12 instances can be created (2 types of cost matrix, 2 types of vehicle capacities, 3 types of demand volumes)
This make the total of 648 ACVRP benchmark instances
- Each data set is named using the name city, depot, customers, and dimension (and distance range).
- In case of SLAS100, the city is Seoul, depot is logistics center (urban distribution center), customers are in residential facilities (apartments), and the dimension is small with the value of 100.

Each data set consists of the following:
- Coordinates.csv: x and y coordinates in WGS-84 format
- Cost_Distance.csv: road-distance matrix for each pair of nodes, from (row) and to (column)
- Cost_Time.csv: road-time matrix for each pair of nodes, from (row) and to (column)
- Vehicle_V1.csv: 1-ton truck's vehicle capacity in volume (cubic meters)
- Vehicle_V2.csv: 2.5-ton truck's vehicle capacity in volume (cubic meters)
- Volume_V1M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 1
- Volume_V1M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 2 
- Volume_V1M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 3
- Volume_V2M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 1
- Volume_V2M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 2
- Volume_V2M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 3
- Folder: Solutions

Each solution folder consists of the following:
- bestSolution.txt: best solution found in 10 replications
- solutionOFV.txt: OFV values for each replication
- solutionTime.txt: solution time for each replication (seconds)
* The solutions are provided using sweep and simulated annealing algorithms

Acknowledgments: 
Special thanks goes to Representative Director of SL Solution, Hyojoon Cha, and Director of Research Institute at SL Solution, Jaeseok Song. SL Solution, in charge of maintenance for the T map API, provided real time road distance and road time information for the benchmarks.
DOI: 10.17632/zww548rfbn
title: Trifilar Pendulum - Mass Moment of Inertia Measurement

description: This repository contains the design files, software, user manual and instructions to build an use a trifilar pendulum for measuring Mass moment of Inertia. This test setup if build according to the instructions can measure the MoI of integrated systems with a maximum mass of 6 kg. it was specifically designed for CubeSats but can be used for other small complex devices like drones.
DOI: 10.6084/m9.figshare.1401981.v1
title: Data for "Evolution of Popular Music: USA 1960–2010"

description: Combines two data tables and a PDF with extensive information on which artists and tags strongly feature the T-Topics and H-Topics from the paper.
DOI: 10.6084/m9.figshare.14579955.v1
title: Landscape descriptors in fifteen urban green spaces of a southern temperate city

description: The dataset contains landscape metrics for circular buffer areas of increasing radius (250, 500, and 1000 m) around each of 15 sampling sites. landscape metrics were calculated using Fragstats (McGarigal et al<i>.</i> 2012; http://www.umass.edu/landeco/research/fragstats/fragstats.html). Sampling sites were urban green spaces located in Córdoba city, Argentina. Land cover characteristics were assessed for the three circular buffer areas around each sampling site using Google Earth and Sentinel 2 images (December 14, 2016; spatial resolution 10 m). The land-use categories considered were: <i>Built surface, Open vegetation </i>(mostly grasses and low growth)<i>, Closed vegetation </i>(mostly trees) and <i>Water bodies</i>. We calculated landscape metrics using two levels of spatial heterogeneity hierarchy: landscape level metrics and class level metrics. These metrics provide information about landscape and patch class fragmentation, interspersion and aggregation (see details in read me file).
DOI: 10.6084/m9.figshare.28928159.v1
title: Foraging.zip

description: Imaging data of crawling C. elegans on an agar plate. The imaging system was designed to translocate around a fixed-position assay plate. As the worm moves on the surface of the plate, the system follows the movements of the worm while capturing images at 4 Hz and recording its centre-of-mass position.
DOI: 10.17632/j6cgcfys77
title: Handwritten Baybayin Symbols Dataset

description: The Baybayin or “Alibata” became existing around year 1200’s. Baybayin was also approved in the house of congress in the Philippines to be a national writing system of the Philippines with a House bill No. of 1022. The extinct symbols are classified as syllabaries in the study of writing systems. The Philippine syllabaries have 17 signs representing 14 consonants which composed of ba, da, ka, ga, la, ha, ma, nga, na, sa, pa, wa, ya, ta, and 3 standalone vowels composes of a, i, and u at some late point the Mangyan’s added ra. The dataset contains 36,000 handwritten baybayin symbols data set.
DOI: 10.6084/m9.figshare.23298467.v4
title: ORDerly benchmarks of chemical reactions

description: Benchmark datasets generated with ORDerly for chemical reaction prediction tasksORDerly-forward: Forward reaction prediction (predict reaction products given reactants, solvents, and agents)ORDerly-retro: Retrosynthesis prediction (prediction reactants given a desired product)ORDerly-condition: Reaction condition prediction (predict solvents and agents given reactants and products). Note that reactions with rare solvents and agents (frequency &lt;100) have been removed.ORDerly-condition-with-rare: Reaction condition prediction (predict solvents and agents given reactants and products). Reactions with rare solvents and agents have not been removed.Config: Contains the .log and .json files showing the parameters used in cleaning and the impact on dataset size after each cleaning step.Note that all datasets here were created using the reaction string and our chemically informed logic to assign reaction roles.Paper: https://chemrxiv.org/engage/chemrxiv/article-details/64ca5d3e4a3f7d0c0d78ca42Neurips workshop paper: https://openreview.net/forum?id=R8FQMsECISCode: https://github.com/sustainable-processes/orderlyThe supplementary datasets used for this work can be found here: https://doi.org/10.6084/m9.figshare.23502372.v3Feel free to email me, Daniel Wigh, at dsw46@cam.ac.uk or my supervisor Alexei A. Lapkin.<br><br>
DOI: 10.6084/m9.figshare.28106855.v1
title: A LLM driven dataset on the spatiotemporal distributions of street and neighborhood crime in China

description: Crime is a significant social, economic, and legal issue. This paper presents an open-access spatiotemporal repository of street and neighborhood crime data, comprising approximately one million records of crimes in China, with specific geographic coordinates (latitude and longitude) and timestamps for each incident. The dataset is based on publicly available law court judgment documents. Artificial intelligence (AI) technologies are employed to extract crime events at the neighborhood or even building level from vast amounts of unstructured judicial text. This dataset enables more precise spatial analysis of crime incidents, offering valuable insights across interdisciplinary fields such as economics, sociology, and geography. It contributes significantly to the achievement of the United Nations Sustainable Development Goals (SDGs), particularly in fostering sustainable cities and communities, and plays a crucial role in advancing efforts to reduce all forms of violence and related mortality rates.
DOI: 10.17632/24w53prvky
title: Data for: Scale-appropriate mechanization impacts on productivity and technical efficiency among smallholders: Evidence from rice systems in the mid-hills of Nepal

description: This file contains the codebook (for the variables description), datasets, and STATA program codes that were used to generate the results of the paper.
DOI: 10.17632/2k98mvnk85
title: Data for: Multicenter randomized controlled trial comparing the effectiveness and safety of hydrocellular and hydrocolloid dressings for treatment of stage II pressure ulcers in patients at primary and long-term care institutions.

description: This database includes all outcomes included and evaluated in the attached research paper
DOI: 10.17632/jm6j9mr52s
title: A Comparative Analysis of Online versus In-Person Opioid Overdose Awareness and Reversal Training for First-Year Medical Students

description: Pre and post-training surveys were collected to assess the effectiveness of an online and in-person opioid overdose awareness and prevention training given to first year medical students. Data from 2018/2019 was from in-person trainings and data from 2020 was from an online training.
DOI: 10.6084/m9.figshare.23902812.v2
title: <b>Genome assembly and annotation(update) of </b><i><b>Aselliscus stoliczkanus</b></i>

description: The genome assembly of <i>Aselliscus stoliczkanus</i> was 2.18 Gb in size with 98.26% of the genome sequences anchored onto 14 autosomes and two sex chromosomes (X and Y). The quality of the genome assembly is very high with a contig and scaffold N50 of 72.98 and 162 Mb, respectively, Benchmarking Universal Single-Copy Orthologs (BUSCO) score of 96.6%, and the consensus quality (QV) value of 47.44.
DOI: 10.6084/m9.figshare.25305244.v2
title: <b>Spatial_DataSet_for_Global public </b><b>risk</b><b> perception of artificial intelligence</b>

description: This study conducted a thorough examination of public perceptions of artificial intelligence (AI) risks and their spatiotemporal development patterns. Employing a combination of Gensim, Perspective, and other natural language processing tools, alongside manual review methods, the data underwent systematic processing and categorization. Building on this foundation, the multidimensional mathematical convex hull approach was utilized to extrapolate public geospatial data, offering an in-depth analysis of the spatiotemporal distribution characteristics, regional heterogeneity, and potential influencing factors of global public perceptions towards AI risks. To mitigate the uncertainties inherent in methodological, data, and mathematical assumptions, the study integrated various machine learning models with the game theory-based Shap model to attribute and dissect the public's risk perceptions across different nations and regions, uncovering the impact of economic, political, and religious domains on public AI perception levels. Furthermore, the study elucidates the evolution of public risk perceptions towards AI over the past few decades. Ultimately, the empirical findings provided both theoretical and empirical bases for managers and policymakers to devise effective intervention strategies and social policies, aiming to foster a smooth and orderly development of AI technology, while advocating for the necessity of enhancing public risk awareness.
DOI: 10.6084/m9.figshare.3468506.v1
title: History of A. thaliana Atg8 isoform identifiers

description: Atg8 isoforms of <i>Arabidospis thaliana</i> were assigned multiple names in earlier publications. The presented table summarises these names with each row linking former names to the current nomenclature and coding sequence as provided by The Arabidopsis Information Resource (https://www.arabidopsis.org).<br><br>Doelling, J. H., Walker, J. M., Friedman, E. M., Thompson, A. R., & Vierstra, R. D. (2002). The APG8/12-activating enzyme APG7 is required for proper nutrient recycling and senescence in Arabidopsis thaliana. <i>Journal of Biological Chemistry</i>, <i>277</i>(36), 33105–33114. http://doi.org/10.1074/jbc.M204630200Hanaoka, H., Noda, T., Shirano, Y., Kato, T., Hayashi, H., Shibata, D., … Ohsumi, Y. (2002). Leaf senescence and starvation-induced chlorosis are accelerated by the disruption of an Arabidopsis autophagy gene. <i>Plant Physiology</i>, <i>129</i>(3), 1181–93. http://doi.org/10.1104/pp.011024Sláviková, S., Shy, G., Yao, Y., Glozman, R., Levanony, H., Pietrokovski, S., … Galili, G. (2005). The autophagy-associated Atg8 gene family operates both under favourable growth conditions and under starvation stresses in Arabidopsis plants. <i>Journal of Experimental Botany</i>, <i>56</i>(421), 2839–2849. http://doi.org/10.1093/jxb/eri276Thompson, A. R. (2005). Autophagic Nutrient Recycling in Arabidopsis Directed by the ATG8 and ATG12 Conjugation Pathways. <i>Plant Physiology</i>, <i>138</i>(4), 2097–2110. http://doi.org/10.1104/pp.105.060673Yoshimoto, K., Hanaoka, H., Sato, S., Kato, T., Tabata, S., Noda, T., & Ohsumi, Y. (2004). Processing of ATG8s, ubiquitin-like proteins, and their deconjugation by ATG4s are essential for plant autophagy. <i>The Plant Cell</i>, <i>16</i>(11), 2967–2983. http://doi.org/10.1105/tpc.104.025395
DOI: 10.7910/dvn/ic3w9
title: Mexico (2008): MAP Study Evaluating Coverage and Quality of Coverage for Condoms in Cancun, Playa del Carmen and Veracruz. Second Round

description: MAP studies allow programmers to make an assessment of product availability and accessibility using pre-defined criteria for coverage, quality of coverage, access and penetration. Its goal is to increase the overall efficiency of social marketing product and service delivery systems. The main objectives of the PSI/Mexico 2009 MAP surveys were to (1) monitor the coverage and quality of coverage of condoms in non-traditional outlets; and (2) monitor access and market penetration of condoms in high-risk areas for HIV/AIDS (hotzones).
DOI: 10.7910/dvn/qbnffr
title: Replication Data for: How do third parties affect compliance in the trade regime?

description: Replication files for reported analysis and appendix materials. See R code.
DOI: 10.7910/dvn/f3w9m8
title: Replication Data for: Macrointerest

description: These files contain the script/do files and data necessary for replicating "Macrointerest"