cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29994556
title: PRISMA_2020_checklist.docx

description: <b>Background:</b>Behavioral finance is a growing field that explores how cognitive biases and psychological factors—such as emotions, heuristics, and social influence—affect financial decision-making. This paper investigates how behavioral biases have evolved and influenced investment behavior in light of recent technological and market developments.<b>Methods:</b>A Systematic Literature Review (SLR) was conducted, focusing on peer-reviewed publications from 2020 to 2025. A total of 30 studies were analyzed, selected from databases such as Scopus, ScienceDirect, and Emerald using criteria including relevance, recency, and empirical focus. The selected literature was categorized based on psychological biases, methodological approaches, and emerging themes in investor behavior.<br><br><b>Results:</b>The findings highlight that traditional biases such as overconfidence, herding, anchoring, and loss aversion continue to dominate investment behavior. Moreover, the review identifies automation bias—a newer bias arising from investor over-reliance on AI and fintech platforms. Studies show that technological innovation, the COVID-19 pandemic, and rising retail investor activity have intensified behavioral distortions.<b>Conclusion:</b>Behavioral finance remains essential for understanding real-world investment behavior. Enhancing financial literacy, incorporating behavioral nudges, and updating regulatory frameworks are critical for mitigating the negative effects of these biases. The study offers a forward-looking perspective on integrating behavioral insights into investment strategies and calls for future research into AI-driven finance, cross-cultural effects, and the role of fintech in shaping investor psychology. This study conducts a Systematic Literature Review (SLR) of research published between 2020 and 2025.This review identifies key behavioral biases, such as overconfidence, herding, anchoring, and loss aversion, that continue to dominate investor behavior. It also highlights emerging biases, including automation bias, resulting from increased reliance on artificial intelligence (AI) and fintech platforms. This study analyzed 30 peer-reviewed articles using various methodologies, including surveys, experiments, and econometric models.
DOI: 10.6084/m9.figshare.13099979.v1
title: Throughput Database Snapshot - October 15, 2020

description: This is a dump (using the `neo4j-dump` command) of the neo4j (http://neo4j.com) database that contains the Throughput network data. This data has been assembled from NSF grants,GitHub repositories, and publications.<br>More information about Throughput can be found at http://throughputdb.com/about
DOI: 10.6084/m9.figshare.26315224.v1
title: Dataset

description: The dataset is used to test hypotheses relating to (1) the direct relationship between the two job demands (quantitative and cognitive job demands) and the challenge and hindrance appraisals, (2) the role of the challenge and hindrance appraisals in mediating the relationships between the job demands and measures of job strain (i.e., exhaustion) and employee motivation (i.e., work engagement), and (3) the extent to which interactions between cognitive and quantitative demands amplify the negative hindrance appraisals. Data is analysed using Mplus 8.
DOI: 10.6084/m9.figshare.21118804.v4
title: bosch numeric training set

description: This is a part of bosch dataset, which originates here: https://www.kaggle.com/competitions/bosch-production-line-performance/data
DOI: 10.6084/m9.figshare.26304388.v1
title: shock_1

description: shock_1
DOI: 10.6084/m9.figshare.5952115.v1
title: Supplementary Material for: Newborn Plasma Glucose Concentration Nadirs by Gestational-Age Group

description: <b><i>Background:</i></b> The glucose concentrations and times to nadir for newborns of all gestational ages when intrapartum glucose-containing solutions are not routinely provided are unknown. <b><i>Objective:</i></b> To characterize and compare patterns of initial glucose concentration nadirs by gestational-age groups. <b><i>Methods:</i></b> A cross-sectional cohort study of 1,366 newborns born in 1998 at the University of Arkansas for Medical Sciences, appropriate for gestational age, nonasphyxiated, nonpolycythemic, and not infants of diabetic mothers, were included. Initial plasma glucose concentrations, before intravenous fluids or feedings, were plotted against time after birth for 4 gestational-age groups (full term [FT], ≥37–42 weeks; late preterm [LPT], ≥34 and &lt; 37 weeks; preterm [PT], ≥28 and &lt; 34 weeks; and extremely low gestational age newborns [ELGAN], 23 and &lt; 28 weeks of gestation). <b><i>Results:</i></b> ELGAN had the earliest nadir at 61 ± 4 min, followed by PT newborns (71 ± 2 min), and then LPT and FT newborns at 92–93 min. The time to nadir for ELGAN and PT newborns was significantly earlier than for FT newborns. Glucose nadir concentrations for ELGAN, PT, and LPT newborns were significantly lower than for FT newborns. LPT newborns’ pattern of glucose paralleled those of FT newborns, with values approximately 5–6 mg/dL lower during the first 3 h. <b><i>Conclusion:</i></b> Plasma glucose nadirs occurred at different times among gestational-age groups during the early postnatal period as follows: ELGAN &lt; PT &lt; LPT ≈ FT. In order to potentially prevent low glucose concentrations at the time of the nadir, exogenous glucose should be provided to all newborns as soon as possible after birth.
DOI: 10.17605/osf.io/527d4
title: Population Estimates

description: Source: http://tabnet.datasus.gov.br/cgi/deftohtm.exe?ibge/cnv/popsvs2024br.def
DOI: 10.17632/5prh576k9d
title: Experimental Data from Autonomous Flights of a Quadcopter

description: This data set contains flight data from autonomous flights of a custom built quadcopter. The quadcopter was programmed to fly a Figure-8 flight path, at a constant altitude, with a varying number of waypoints.
DOI: 10.6084/m9.figshare.13604480.v1
title: Snooker datasets

description: Here we provide a collection of datasets describing the sport of Snooker over the period 1968-2020. This involves four datasets 1) final_match_df.csv - Results of matches in tournaments from 1968-2020 including the competing players and the final score. 2) final_tourn_df.csv - Dataset with tournament details from 1968-2020 including the tournament name, prize fund, and winner. 3) number_ones.csv - The officially ranked number one player from the period 1975-2020. 4) WS_ranks.csv - Extended rankings from the period 1975-2020. Also see code for analysis of these datasets as found in O'Brien JD & Gleeson JP, (2020) A complex networks approach to ranking professional Snooker players, Journal of Complex Networks (in press). at the following link https://github.com/obrienjoey/snooker_rankings
DOI: 10.6084/m9.figshare.13918190.v1
title: Microbiome amplicon analysis metadata associated files with R code from MGnify and Biosamples API pulls.

description: This is the associated R code and pertinent microbiome metadata files associated with the preprint describing metadata quality of microbiome public data. The R code is included with the relevant data files as well as the interactive html report in the report folder. The purpose of the files is to share the code used for the analysis as well as relevant data so that others can explore current status of public microbiome metadata associated the set of samples used for this analysis (e.g. MGnify pipeline 4.1 on amplicon type analyses).
DOI: 10.6084/m9.figshare.3506264.v1
title: Don Dale: We Are Each Responsible

description: Abstract<br>We collapse as a society when we subsume to a capitalist state of apathetic consumerism. Our collective apathy is a contemporaneous colonialism and when we care only enough to re-share a post in online social media of the atrocities happening in our society, in our prisons, in our communities then we have remained assimilated, mute. As hordes of the population trample gardens in the pursuit of Google controlled Pokemon's, as we push ahead in the queue for sauce smothered hot dogs at the Lego convention, there is a failure, a glitch in the reality fabric of our virtual addicted society if the 2016 Don Dale detention saga that continues to unfurl is seen as an isolated incident.
DOI: 10.17632/5xr2bms2pr
title: Clinical characteristics and outcomes of dipeptidyl peptidase-4 inhibitor-associated bullous pemphigoid patients: A retrospective study

description: Supplemental materials for the manuscript published in the Journal of the American Academy of Dermatology (JAAD): "Clinical characteristics and outcomes of dipeptidyl peptidase-4 inhibitor-associated bullous pemphigoid patients: A retrospective study "
DOI: 10.17632/8kmksy24rg
title: Pesticide Use Behavior, Cognitive Dysfunction and The Model of Safety Standard of Pesticide Use among farmworker in Indonesia

description: dataset for pesticide use behavior, cognitive dysfunction and the model of safety standard of pesticide use among famworker in indonesia
DOI: 10.17632/kkgty54cmz
title: Data for: Anticarin-β shows a promising anti-osteosarcoma effect by specifically inhibiting CCT4 to impair proteostasis

description: Unlike healthy, non-transformed cells, the proteostasis network of cancer cells is taxed to produce proteins involved in tumor development. Cancer cells have a higher dependency on molecular chaperones to maintain proteostasis. The chaperonin T-complex protein ring complex (TRiC) contains eight paralogous subunits (CCT1-8), and assists the folding of as many as 10 % of cytosolic proteome. TRiC is essential for the progression of some cancers, but the roles of TRiC subunits in osteosarcoma remain to be explored. Here, we show that CCT4/TRiC is significantly correlated in human osteosarcoma, and plays a critical role in osteosarcoma cell survival. We identify a compound anticarin-β that can specifically bind to and inhibit CCT4. Anticarin-β shows higher selectivity in cancer cells than in normal cells. Mechanistically, anticarin-β potently impedes CCT4-mediated STAT3 maturation. Anticarin-β displays remarkable antitumor efficacy in orthotopic and patient-derived xenograft models of osteosarcoma. Collectively, our data uncover a key role of CCT4 in osteosarcoma, and propose a promising treatment strategy for osteosarcoma by disrupting CCT4 and proteostasis.
DOI: 10.6084/m9.figshare.20480376.v1
title: NEST - DFAB, UMAR, SolAce Floor Plans and Sensor Placements

description: Floor plans, sensor placements and 3D Models for the three NEST units DFAB, UMAR and SolAce
DOI: 10.6084/m9.figshare.27217230.v4
title: Data of the IEHGES test systems.

description: Two test systems are included: A medium test system comprising IEEE 30-bus DEN, 32-node Barry Island DHN, 14-node DGN; A larger test system consisting of IEEE 118-bus DEN, 51-node DHN in Jilin Province and 48-node DGN.
DOI: 10.6084/m9.figshare.28794227.v1
title: <b>Meta-analysis of the effects of supplemental leucine </b><b>alone or in combination </b><b>with other branched-chain amino acids on lactational performance in dairy cows and the associated influencing factors</b>

description: Effects of Leu or in combination with Ile and Val (ILV) supplementation on lactational performance in dairy cows as well as the potential interfering factorsneed to be systematically investigated. PubMed, ScienceDirect, Web of Science and Google Scholar databases were searched for peer-reviewed papers published by August 31, 2024 to explore the factors influence the effects of branched-chain amino acid (BCAA) supplementation in dairy cows. Weighted mean difference (WMD) with confidence interval (CI) of continuous variables from 17 studies were pooled using a hierarchical 3-level meta-analysis with a random-effect model. Moderator analyses were performed to evaluate the effects of different cow breed, lactational stage, dietary MP supply, basal diet type, supplementation method, and supplementation dosage and duration on the heterogeneity of outcomes. Results showed that Leu supplementation increased the milk protein concentration, and ILV supplementation tended to increase milk protein yield in dairy cows. The positive effect of Leu supplementation on milk protein concentration was more prominent in dairy cows fed a MP-adequate or corn silage based diet. Moreover, the milk protein concentration of cows had a tendency to increase when Leu was supplemented via infusion rather than feeding a rumen-protected Leu. Further analysis showed that total digestible Leu should be supplied at 266 g/d (or 11.2 % of MP) or supplementation with a duration of 7 d, and total digestible ILV should be supplied at 620 g/d (or 24.2 % of MP), to achieve the optimal performances in dairy cows. These findings indicated the benifical effects of supplemental Leu and ILV on milk protein output in dairy cows.
DOI: 10.17632/7kjgwzhdtk
title: Behavioural Science and Nudge Interventions Database for SDG Acceleration 2024 (Naik et al.)

description: A database of 201 behavioural and nudge interventions with empirically proven results novelly linked to the UN Sustainable Development Goals. Interventions were implemented between 1982 to 2020 and impacted over 360 million individuals in 43 countries. Each intervention is graded on an impact scale of 1-5 to quantify its impact potential for improving target outcomes. All interventions achieved at least a 1% change in the measured variables, with the maximum change reaching a 1467% increase. The interventions show an impressive average median percentage change of 44.76% per SDG.

This is the first database of its kind to specifically link behavioural and nudge interventions to the UN Sustainable Development Goals. Policymakers can filter for the indicators in which they are underperforming and be presented with targeted, impactful interventions. In a world where resources are limited and time is of the essence, this approach will streamline the decision-making process and enhance the precision and effectiveness of behavioural policy actions.

This database can also be accessed here: https://docs.google.com/spreadsheets/d/1tWy0X2Aq08kIUNYG-Cw5FQsvakdKSyKGKen7_hc2F48/edit?gid=1627241714#gid=1627241714
DOI: 10.17632/fch5m6p3nn
title: Bayesim: A tool for adaptive grid model fitting with Bayesian inference

description: Bayesian inference is a widely used and powerful analytical technique in fields such as astronomy and particle physics but has historically been underutilized in some other disciplines including semiconductor devices. In this work, we introduce bayesim, a Python package that utilizes adaptive grid sampling to efficiently generate a probability distribution over multiple input parameters to a forward model using a collection of experimental measurements. We discuss the implementation choices made in the code, showcase two examples in photovoltaics, and discuss general prerequisites for the approach to apply to other systems.
DOI: 10.17632/zwhdgbpw5g
title: Compressive Creep in LDPE Under Controlled and Varying Ambient Temperature and Humidity

description: These data are measurements of compression of low-density polyethylene (LDPE) test samples under a nominal static load of 2775 PSI. A compressive force of 1200 lbs is applied axially to cylindrical samples which rapidly compress in the axial direction and expand radially; after 1000min, the radial expansion is assumed to stop, and the nominal static load is determined based on the cross-section area at that time point.

Data is included for six samples, three under 24-hour per day and 7-day per week room air conditioning, and three where the air-conditioning was turned off overnight and on weekends. The data includes travel, the measure of axial compression of the test sample, as well as the temperature and humidity experienced by the sample. 

Samples 29, 30a, and 30b had full air conditioning, while samples 11, 13, and 15 had intermittent air-conditioning. Data for samples that had full air conditioning have lower resolution travel measurements because we did not have full access to the air-conditioned space and a lower resolution automatic data logging sensor had to be used. For sample 13, we also include data on the radial diameter of the sample based on measurements taken from digital photos of the experiment. The data is presented here as a .csv file.

We observed segmentation in the travel vs time data for the experiments where temperature and humidity varied. Experiments run under full air conditioning do not appear to have segmentation. In the Results in Engineering journal article “A Discrete Event Simulation Model of Compressive Creep for LDPE” (doi.org/10.1016/j.rineng.2025.103925) we discuss the details of these experiments and propose a model to describe the segmented travel behavior.
DOI: 10.6084/m9.figshare.19388234.v1
title: Tumor masses clinical data and KIM-1 plasma levels

description: Clinical and plasma KIM-1 data from WURZ and DF/HCC patient cohorts as well as controls
DOI: 10.6084/m9.figshare.24446734.v1
title: SAM_Data_Final.sav

description: The full dataset for the Smartphone Addiction Measure.
DOI: 10.6084/m9.figshare.7485035.v1
title: Data for "Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) - Uncertainty quantification of geometric rupture risk parameters"

description: This data set contains all 121 aneurysm dome geometries (in STL file format) that were used for calculation of geometric parameters analysed in the publication "Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) - Uncertainty quantification of geometric rupture risk parameters"
DOI: 10.17632/hnv22pyt4f
title: Harvard Step Test Dataset for Female Cricketers in the Bangladesh National Women’s Cricket League 2021-22

description: This dataset provides a detailed assessment of cardiovascular fitness for female cricketers participating in the Bangladesh National Women’s Cricket League 2021-22, the country's highest-level competition for women cricketers. The dataset was collected in 2022 and includes various physiological parameters derived from the Harvard Step Test. The test provides insights into the cardiovascular endurance and recovery ability of athletes. Coaches from each of Bangladesh's eight divisions conducted the tests, ensuring that the data represents a diverse sample of female athletes across the country.
DOI: 10.17632/v55kjkrgfz
title: Replication code for: Uncertain policy promises

description: This MATLAB(R) code allows users to replicate the results in the paper "Uncertain policy promises" by Alex Haberis, Richard Harrison and Matt Waldron.
DOI: 10.6084/m9.figshare.25314568.v2
title: Nitrogen and phosphorus trends in lake sediments of China may diverge

description: Database and code examples used in "<b>Nitrogen and phosphorus trends in lake sediments of China may diverge</b>", include: Nutrient Dataset of Chinese Lakes v1.0_1yr-inter.xlsx, code examples.txt, Source data.xlsx (Fig. 2, 3, 4 and Supplementary Fig. 1, 2, 3, 4, 6, 8, 10, 11, 12, 13).
DOI: 10.6084/m9.figshare.28238300.v1
title: UAV-obtained data for maize with weed infestation

description: UAV with visual spectrum camera was used to make photos of a maize field with weed infestation.
DOI: 10.6084/m9.figshare.28616303.v1
title: Survival Tables, Melanization, and Movement times

description: Datasets with the survival points for the infections, melanization times, and measured gray values
DOI: 10.6084/m9.figshare.21385449.v1
title: RNA-sequencing dataset

description: RNA-sequencing dataset generated in the study, "A ubiquitination cascade regulating the integrated stress response and survival in carcinomas."
DOI: 10.6084/m9.figshare.22944422.v1
title: Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator

description: Replicability package for the paper: "Test Case Generation for Drivability Requirements of an Automotive Cruise Controller: An Experience with an Industrial Simulator"
DOI: 10.6084/m9.figshare.28358663.v1
title: dataset of water resistome

description: <b>Profiles </b><b>of antibiotic resistome risk in diverse water environments</b>
DOI: 10.6084/m9.figshare.28829693.v5
title: Table S5, PlasmidFinder summary

description: Table S5, PlasmidFinder summaryIdentification of plasmid replicon types was conducted using the Staramr pipeline (v0.11.0) [12], incorporating PlasmidFinder (database version 14.11.2024).
DOI: 10.17632/vsg79xx3k8
title: Data for "The use of principal component and factorial analysis to measure fundamental cognitive processes in neuropsychological data"

description: Simulation scripts for "The use of principal component and factorial analysis to measure fundamental cognitive processes in neuropsychological data".
All scripts were written in Matlab 2021a. See the Readme and comments in the scripts for further information.
The archive can be unzipped for example with 7zip freeware.

With the updated version 2, the analysis of the same data by factor analysis with maximum likelihood estimation was added.
DOI: 10.6084/m9.figshare.27194964.v5
title: Dataset of; Amazon rainforest ecosystem exchange of CO2 and H2O through turbulent understory ejections. Described in: Moonen et al. 2025 (ACP)

description: This data supports the 2025 study titled: High frequency isotopic composition measurements to classify cloud induced turbulent patterns above the Amazon rain forest. It consists of windfield, mole fraction, PAR, and isotopic composition data gathered using an eddy covariance system (IRGASON EC-100), open path gas analyser (LICOR 7500), PAR sensor, and Picarro L-2130i water vapour isotope analyser respectively.Three data-sets are shared, of differing depth of analysis, duration, and frequencies (10Hz, 10s, 30min). The units of all included variables can are detailed in the units.csv file.4Hz 'raw' data example of a 30 minute data interval containing a clear ejection event (Fig1).<br>Limitted to wind field and molefraction information.<br>10s processed data containing variables on ejections and cloud fields (Fig 4).<br>In addition, 10s agregated data on scalars, wind fiels, and isotopic compositions is also available.<br>30min processed flux data which include derived source compositions and quadrant specific fluxes (Fig 2 & 3).<br>In addition, isotopic flux data for the dD and d18O isotopes is shared.
DOI: 10.6084/m9.figshare.10045976.v1
title: Time series of long-term experimental predator-prey cycles

description: Tine series from a set of ten chemostat experiments with a planktonic predator-prey system. The data contain measured population densities of the prey (unicellular algae) and the predator (rotifer) and predator life stage characteristics for a total of about 2,000 measurement days - exhibiting predator-prey cycles of unprecedented length.<br>Reference:Blasius B, Rudolf L, Weithoff G, Gaedke U, Fussmann G.F. Long-term cyclic persistence in an experimental predator-prey system. Nature (2019).<br><br>The ten data files correspond to the 10 experiments, explained in the Extended Data Table 1 of this publication.<br>Please acknowledge the use of this data by citing the above reference.<br><br>
DOI: 10.6084/m9.figshare.14188853.v3
title: NWRS Acquisition Portfolio Optimization for MBCF

description: The NWRS Acquisition Portfolio Optimization for MBCF is an Excel-based model, supplement for the "Multicriteria decisions and portfolio analysis: Land acquisition for biological and social objectives" in Ecological Applications. The model illustrates a constrained optimization based on multiple criteria and a defined annual budget for the MBCF. The file includes the mutlicriteria optimization, a Pareto Efficiency Frontier analysis, and a weight sensitivity analysis.
DOI: 10.6084/m9.figshare.14587608.v2
title: Supplementary_Table_4_miRNA_DE_GLM_correlation_nutrient.xlsx

description: Supplementary Table 4. A) Stool miRNAs belonging to specific correlation clusters of nutrients or bacterial species as reported in Supplementary Figure 2B-C. B) List of miRNA-nutrient associations supported by a significant Spearman correlation (adj. p &lt; 0.05). Information of a GLM model computed for each pair is reported. Models adjusted by sex, age, and BMI.