cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sjdfr9c3mr
title: Mindfulness exercises in elementary science curriculum

description: The files include data of 460 students from 4th and 5th grade classes. The experimental group engaged in mindfulness activities within the framework of 10 science lessons, while in the control group science lessons were taught as usual. Data was collected at 3 time points: before, after and after a six-month follow-up period. 

Data is coded in long format.

The variables measured were:
MAAS_rev = Mindful Attention Awareness Scale, reversed scale
PALS-MG = Patterns of Adaptive Learning Scales (PALS): Mastery goal orientation
PALS-AP = Patterns of Adaptive Learning Scales (PALS): Performance-Approach Goal Orientation
PALS-AV = Patterns of Adaptive Learning Scales (PALS), Performance-Avoid Goal Orientation
SRQ-I = Self-Regulation Questionnaire-Academic (SRQ-A): Intrinsic motivation
SRQ-E = Self-Regulation Questionnaire-Academic (SRQ-A): Extrinsic motivation
MOT = Science Motivation Questionnaire
GR = Science grades
KN = Science Knowledge Test (in separate file. This variable was measured only at post and follow-up time points)

Group: 1 = experimental; 2 = control
Gender: 1 = boys; 2 = girls
Siblings = Number of siblings
Order = Order of birth between siblings
Parents = Parents marital status: 1 = married; 2 = divorced; 3 = single parent; 4 = other
Time: 1 = pre; 2= post; 3 = follow-up
DOI: 10.17632/95krhyz857
title: Data for: Personal thermal comfort models with wearable sensors

description: We collected physiological signals (e.g., skin temperature, heart rate) of 14 subjects (6 female and 8 male adults) and environmental parameters (e.g., air temperature, relative humidity) for 2-4 weeks (at least 20 hours per day). The dataset consists of environmental data and physiological signals of the subjects.
DOI: 10.17632/dtx7pfjp6r
title: Data for: Identifying national responsibility species based on spatial conservation prioritization

description: Zonation Spatial prioritization map that was used for determining the National Responsibility Species. The map was originally produced in Kukkala et al. (2016), http://dx.doi.org/10.1016/j.biocon.2016.04.016)
DOI: 10.17632/nj7w7g8nft
title: Assignment Markets

description: These are the Matlab codes and experimental data to replicate the main results and tables in "Assignment Markets: Theory and Experiments". 

-Code-

There are 3 separate stages to produce the results in the paper. Running them in this order will replicate the main tables in LaTeX format (printed to Matlab output), both for experimental subjects and simulated data points.

All files assume that YALMIP* is installed and added to Matlab path (see https://yalmip.github.io/) and a mixed-integer solver is setup. Currently all files assume gurobi is installed. For CPLEX or other solvers, please edit the sdpsettings lines in the files.

* Lofberg, J. (2004, September). YALMIP: A toolbox for modeling and optimization in MATLAB. In 2004 IEEE international conference on robotics and automation (IEEE Cat. No. 04CH37508) (pp. 284-289). IEEE.

1. main.m
This file processes the experimental data, producing the main tables (Table 2 and left sides of H.10-12) printing the results and saving them to experimentaldata.mat

2. simulations.m
This file runs the main simulations (Table F.7 and right sides of H.10-12), printing the results and saving them to powersimulations.mat

3. find_psi.m
Produces the Predictive Success Indices (Table F.8), assuming that powersimulations.mat and experimentaldata.mat were already produced by stages 1 and 2.

Remaining matlab files are function definitions used in the process.

Additionally, the bargaining solutions can also be simulated:

a. simulate_nbs.m
Additional simulations for the Nash bargaining solution.

b. simulate_pncore.m
Additional simulations for the Pairwise Nash core.

-Data-

The same experimental data is in matlab format (raw_data.mat) and in csv format (raw_data.csv). 
Every matched group of six participants is uniquely identified by a code in the total_group column, which consists of session id and group number within session.
Rounds from 1 to 15 are identified by subsession__round_number variable.
For bargaining treatments, the offers are recorded in offers_to_player and player_offer variables.
For auction treatments, the standing bids and asks (minimum prices for the sellers) at the end of the round are stored in group_asks and group_bids variables.
DOI: 10.17632/tg4zyrmt3w
title: Probiotics Reduce Treatment-related Complications in Adult Colorectal Cancer Patients: A Systematic Review and Meta-Analysis

description: This systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to assess the efficacy and safety of probiotics as a therapeutic approach for managing colorectal cancer treatment-related complications. MEDLINE, EMBASE, and Scopus databases were searched. The Mantel-Haenszel model was applied for all outcomes. Ten RCTs with 1,276 patients were included. There was a significant decrease in the incidence of diarrhea (Odds Ratio [OR] 0.42; 95% CI 0.31 to 0.55; p &lt; 0.001), surgical site infection (OR 0.44; 95% CI 0.22 to 0.89; p = 0.023), urinary infection (OR 0.43; 95% CI 0.20 to 0.91; p=0.028), pulmonary infection (OR 0.30; 95% CI 0.15 to 0.60; p&lt;0.001), abdominal distention (OR 0.43; 95% CI 0.25 to 0.76; p=0.004), length of ATB therapy (Mean Difference [MD] -1.66 days; 95% CI -2.13 days to -1.19 days; p &lt; 0.001), and duration of postoperative pyrexia (MD -0.80 days; 95% CI -1.38 days to - 0.22 days; p=0.007) in the probiotic group. Nevertheless, length of hospital stay, time to first defecation, and time to first solid diet, were not different between groups. Our findings suggest that probiotics is effective for managing treatment-related complications in patients diagnosed with colorectal cancer, with a lower rate of adverse events.
DOI: 10.17632/k435zc736t
title: Impact of substrate moisture content on growth and performance of black soldier fly larvae

description: Experimental data and data analyses growth, respiration and performance of black soldier fly larvae grown at different substrate moisture contents
DOI: 10.17632/wgf5htd2tz
title: Relationship Between Real World Evidence Publications and Entresto Sales

description: This dataset assesses the relationship between the cadence of RWE publications and sales of sacubitril/valsartan (Entresto®) following launch. The data reveal that an additional RWE-related publication was associated with an estimated mean increase in quarterly sales of $1.8M (from quarter q to q+1 following publication), $3.5M (from q+1 to q+2), and $2.7M (from q+2 to q+3). In adjusted models, an additional RWE publication was associated with a mean gain in sales from quarter q+1 to q+2 of $2.6M. RWE publications were not associated with an increase in sales in the quarter following publication, and the association was attenuated by third quarter following publication.
DOI: 10.6084/m9.figshare.14798004.v2
title: PAPILA

description: This work provides a public dataset with medical data and fundus images of both eyes of the same patient. Segmentations of the cup and optic disc, as well as the labeling of the patients based on the evaluation of clinical data are also provided. <br> The article that describes the contents of the database can be found at: <sub>https://doi.org/10.1038/s41597-022-01388-1</sub> <br> <strong>Please cite the article and not the figshare repository.</strong> <br> <br>
DOI: 10.6084/m9.figshare.28938791.v2
title: hcpaTemplateFA.nii.gz

description: HCP-Aging FA template
DOI: 10.17632/7v4jmbjwvc
title: Sentiment Analysis of Canadian Maritime Case Law: A Sentiment Case Law and Deep Learning Approach

description: This study employs machine and deep learning methods to expedite legal proceedings to retrieve legal data, classify, review, and predict judgments. Our study adds significantly to the literature because many countries' judicial systems have backlogs that cause delays in justice. The sentiment analysis framework employs deep, distributed, and machine learning to provide access to statutes, laws, and cases, allowing Canadian maritime judges to resolve cases more efficiently.

The proposed LSTM+CNN model demonstrated promising results in extracting sentiments and records from various devices and providing practical guidance. As a result, the model can be applied to other systems that adhere to the common-law framework.
DOI: 10.17632/dxg2ph6bd9
title: Processed Dataset of Economic Growth and Unemployment Rate in Indonesia

description: This dataset contains processed economic indicators that explore the relationship between economic growth and unemployment in Indonesia. It has been meticulously prepared to support economic research and policy analysis, particularly in examining both short-term and long-term dynamics using econometric approaches such as Error Correction Models (ECM). The dataset includes key variables such as actual economic growth and unemployment rates, estimated potential values for economic growth and unemployment, gaps between actual and potential rates, period-to-period differentials for both economic growth and unemployment, and an error correction term (ECT) representing short-term deviations from long-term equilibrium. The raw data for this processed dataset originates from the World Bank.
DOI: 10.17632/wybyxsxgxs
title: Data for: Ballistic Performance of Cross-Laminated Timber (CLT)

description: Data from 152 ballistic experiments on CLT panels made from Spruce Pine Fir - South (tab 1) and Southern Yellow Pine (tab 2).
DOI: 10.17632/cwvr27jr5w
title: tweezercalib 2.1: Faster version of MatLab package for precise calibration of optical tweezers

description: Title of program: tweezercalib Catalogue Id: ADTV_v2_1 Nature of problem Calibrate optical tweezers with precision by fitting theory to experimental power spectrum of position of bead doing Brownian motion in incompressible fluid, possibly near microscope cover slip, while trapped in optical tweezers. Thereby determine spring constant of optical trap and conversion factor for arbitrary-units-to-nanometers for detection system. Versions of this program held in the CPC repository in Mendeley Data ADTV_v1_0; tweezercalib; 10.1016/j.cpc.2004.02.012 ADTV_v2_0; tweezercalib; 10.1016/j.cpc.2005.11.007 ADTV_v2_1; tweezercalib; 10.1016/j.cpc.2006.07.009 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.27936471.v1
title: <b>Spatially consistent annual Socio-Economic Indexes for Areas (SEIFA) data for Australian statistical areas, 1996 – 2021</b>

description: National census data are frequently used to derive area-level socioeconomic indexes, such as the Australian Bureau of Statistics Socio-Economic Indexes for Areas (SEIFA). However, these indexes are often limited for longitudinal analysis due to infrequent data collection and changes to administrative census boundaries. This dataset provides annual SEIFA data standardised to 2021 Statistical Area 1 (SA1) boundaries, offering spatially and temporally consistent data from 1996 to 2021. The dataset includes 59,421 SA1s, excluding areas without SEIFA data for any census year. This dataset addresses key challenges in tracking area-level socioeconomic changes over time and enhances the utility of census data for longitudinal research.
DOI: 10.17632/4cvdjskg9k
title: Forecasting the purchase intention of Live shopping: Key roles of the cooperation mode between human and AI anchors

description: E-commerce live streaming has become a crucial medium for consumers to gather product information and make purchases, significantly shaping brand image, consumer sentiment, and purchasing intent. The rise of AI anchors has revitalized the sector, offering efficient, personalized, and interactive experiences. However, limited research explores how consumers' social perceptions of AI as intelligent assistants impact purchase intentions in live shopping. This study examines how the human and AI anchor cooperation modes affect purchasing intentions through two experiments. Study 1 finds that cooperation mode and product type interact: human-led cooperation mode is more effective for hedonic products, while AI-led cooperation mode performs better for utilitarian products. Study 2 reveals distinct mediating roles of trust: affective trust drives hedonic product acceptance, while cognitive trust influences utilitarian product acceptance. These findings highlight the significant role of anchor cooperation in shaping consumer behavior and provide insights for optimizing AI-driven live-streaming strategies.This dataset contains experimental data collected in two studies.
DOI: 10.17632/wxv4sbxd73
title: Hydrochemistry of porewater and dispersed ice from mineral soils, western Siberia

description: Hydrochemistry of porewater and dispersed ice from mineral soils, western Siberia, continous permafrost zone
DOI: 10.17632/zsnzwyrzsv
title: Data on Russian companies ( Financials, Ownership)

description: Dataset for empirical part of masters paper "The effect of the agency conflict between shareholders and managers on overinvestment in Russian companies considering the form of ownership"
DOI: 10.6084/m9.figshare.24783759.v1
title: waterQuality_all.csv.zip

description: waterQuality_all.csv is the combined dataset of all water quality measurements used for calculations for the manuscript "Abiotic variables drive different aspects of fish community trait variation and species richness across the continental United States" in Journal of Animal Ecology (2025). ***Note: zipped .csv file is very large
DOI: 10.6084/m9.figshare.26131438.v1
title: drugs

description: drugs
DOI: 10.17632/zmtm4cvpcb
title: Original blot images

description: Original blot images for the paper "CD36 regulates diurnal glucose metabolism and hepatic clock to maintain glucose homeostasis in mice"
DOI: 10.17632/kzgmy58n23
title: Gut microbiota-derived α-linoleic acid mitigates intestinal inflammation induced by oral infection with Toxoplasma gondii

description: Toxoplasma gondii (T. gondii) can cause serious zoonotic disease. Oral infection of cysts is the main transmission route of T. gondii and there is a lack of safe and effective anti-T. gondii drugs. It has been reported that T. gondii can significantly alter the structure and metabolism of gut microbiota, thereby affecting the process of T. gondii infection. Probiotics have been shown to be effective in the treatment of T. gondii infection; however, there is still limited systematic research on the action and mechanism of gut microbiota and its metabolites that regulate intestinal inflammation caused by T. gondii infection. In our previous study, it was found that α-AMY gene is essential for maintaining chronic infection, and the virulence between α-AMY knockout and wild-type cysts was significantly different. Based on the α-AMY knockout cyst, we proposed a scientific hypothesis that the severity of T. gondii infection in different strains is closely related to the gut microbiota from the perspective of the interaction between gut microbiota and T. gondii infection. This project intends to analyze and identify the key gut microbiota and metabolites that affect the process of T. gondii infection using a multi-omics approach combining 16S rRNA sequencing and metabolomics, and to further elucidate the mechanism of action of gut microbiota and their metabolites in regulating intestinal inflammation caused by T. gondii infection through the TLR4/MyD88/NF-κB pathway, which will provide important guiding significance for the development of drugs to treat toxoplasmosis.
DOI: 10.6084/m9.figshare.12006273.v1
title: Transcripción del Catálogo Monumental de la Provincia de Soria por Juan Cabré (1916-1917)

description: Text in computer readable format of the 8 books of the volume dedicated to the province of Soria of the Monumental Catalogue of Spain written by Juan Cabré (1916-1917).Using Transkribus, specific Handwriting Text Recognition models have been trained to recognize this author's spelling and are available on the online platform (Cabre_v3). After automatic transcription, the text was manually revised.The transcriptions were carried out by Raquel Liceras-Garrido, Alba Comino and Patricia Murrieta-Flores under the project “Goodbye reading glasses: a Machine Learning experiment on handwriting documents”, funded by the Faculty of Arts and Social Sciences and the Digital Humanities Hub of Lancaster University (UK).<br><br>
DOI: 10.17632/2c2nc636nj
title: Data set: Operations Performance in Manufacturing Industry: The Roles of Agility, Supply Chain Sustainability, and Risk Management

description: This study investigates the role of sustainable supply chain practices and risk management in enhancing manufacturing agility and operational performance, with a focus on the underexplored context of developing countries such as Indonesia. Data were collected from 255 managers and executives across the manufacturing, operations, logistics, and supply chain sectors using a structured questionnaire based on a five-point Likert scale. The collected responses were then analyzed using SmartPLS. The results indicate that environmental practices have a positive impact on both manufacturing agility and operational performance, although the effect on operational performance is relatively weaker yet remains statistically significant. Risk management is identified as a critical enabler, contributing positively to both agility and performance outcomes. Among the examined variables, manufacturing agility exerts the strongest influence on operational performance, underscoring its pivotal role in achieving competitive advantage. By integrating supply chain sustainability, risk management, manufacturing agility, and operational performance into a unified framework, this study addresses important research gaps and offers valuable theoretical and practical insights. The findings carry significant implications for practitioners and policymakers seeking to enhance supply chain resilience and drive operational excellence in volatile, resource-constrained environments.
DOI: 10.17632/38h7p8kjp3
title: JAAD-D-19-02230R3

description: Supplemental material
DOI: 10.17632/92xd6g4xpk
title: Foot Platform and Inertial Wearable Sensor Data Gait

description: Synchronized IMU and foot platform data during walking overground Synchronized Force Platform Data -&gt; data from right and left force platform IMU data -&gt; data from inertial wearable sensors (attached to right and left shank and foot and trunk)
DOI: 10.17632/r9tm4sm7gj
title: Climate Imaginaries: Natural Language Processing

description: NLP analysis of youth-authored climate fiction stories written as part of an "engineering fiction" learning experience.

NLP Analysis Files
(1) NLP Analysis.R: R script for quantifying linguistic abstractness of text.
(2) NLP_input.csv: raw text of introductory and final short stories for 12 different student groups.
(3) specificity.csv: specificity scores for nouns in WordNet version 3.0 from a prior study (Bolognesi et al., 2020).
(4) LCM.dic: dictionary of verbs that were manually coded into Linguistic Category Model categories (Seih et al., 2017).

NLP Statistics Files
(5) NLP Stats.R: R script for calculating statistics (t-test, effect size, power) of story linguistic abstractness scores.
(6) NLP_stats_data.csv: raw data of story linguistic abstractness scores.
DOI: 10.17632/v4ynw83j6k
title: Synthetic Datasets of Water Consumptions

description: A group of 6 synthetic datasets is provided with a 914 days water consumption time horizon with structural breaks based on actual datasets from a hotel and hospital. The parameters of the best-fit probability distributions to the actual water consumption data were used to generate these datasets. The distributions used that best fit the datasets used were the gamma distribution for the hotel data set and the gamma and logistics distribution for the hospital dataset. Two structural breaks of 5% and 10% in the mean of the distributions were added to simulate reductions in water consumption patterns.
DOI: 10.17632/5shmcs4g7f
title: Knowledge and Skill Sets of Web Developer Dataset

description: The dataset of web developer's knowledge and skill sets were obtained from online job advertisements published by Glints, Tech in Asia, and LinkedIn. A total of 2649 data were collected using the web scraping technique from January 2023 to July 2024. It includes of job title, job description, and required skills of web developer occupation.
DOI: 10.17632/pmrn3zfnfj
title: Design Appendix - Open Hardware - Evaluation Criteria Concerning the Quality and Sufficiency of Technical Documentation

description: The multiple crises of our time bring new goals, such as circulating capability, longevity, and individuality, to the fore. Producing more locally at the point of need to approach the overarching goal of a circular economy is worthwhile. However, every physical materialization of an artifact precedes today, commonly a digital design process. The open design paradigm aims to make all product development information and documentation freely available. The result is Open (Source) Hardware, which can be distributed, developed, and used by anyone. The number of Open (Source) Hardware designs is constantly increasing; platforms bundle thousands of designs accessible to anyone interested. Public interest in using these designs is rising; unlike makers, they cannot compensate for missing details in the technical documentation with their skills. One solution is the production by multi-identitarian production networks close to the point of need. Even more complex value-adding tasks could be solved locally through cross-company production by various well-equipped small and medium-sized enterprises. However, inadequate technical documentation in such companies quickly increases costs and prevents economic materialization. The following approach aims to clarify whether Open (Source) Hardware is suitable for production in small and medium-sized enterprises. Criteria must first be derived to recognise systematic failures or gaps in the Open (Source) Hardware documentation. The evaluation criteria, based on international standards for technical documentation, were applied to assess 49 designs. This assessment was conducted by a group of experts, followed by a statistical analysis.


This Dataset contains further and more detailed information on the publication.
DOI: 10.17632/xhkpmkp239
title: Data for: A comprehensive re-understanding of the OM-hosted nanopores in marine Wufeng–Longmaxi formation shale in South China by organic petrology, gas adsorption, and X-ray diffraction studies

description: This data series includes shale methane adsorption data, as well as N2-CO2 adsorption and X-ray diffraction data of the extracted organic matter
DOI: 10.17632/svdfjywbtj
title: Data for: Machine Learning based Power Management Scheme for Hybrid Microgrid Restoration against Grid Contingencies

description: The data is consisted upon 5 folders: 1. Matlab Files - Optimization files for SVM and GPR files. 2. Optimization Results - Figures that contain optimization results after LSVR, M5/2GPR and RQGPR models are optmized. 3. Plots - Excel file containing analysis plots of the above mentioned models. 4. Simulink Models - Simulink source files. 5. Variables - Matlab variables used for Machine Learning model design.