cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ay4-pr5-tj7
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/gmrwfm9rrn
title: Data for: How can we engage farmers in bioenergy development? Building a social innovation strategy for rice straw bioenergy in the Philippines and Vietnam

description: The following documents provide information on the (1) average estimated costs and potential income associated with common rice straw management practices in the Philippines and Vietnam; (2) categories and grouping employed in the aggregation of alters in the ego-networks of farmers and postproduction actors, as well as description of the actors' roles; (3) the interview protocol followed in the study (Appendix A); and (4) description of network properties used to analyse social network data (Appendix B).
DOI: 10.3535/a8n-jc4-qqg
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/d49-7gz-4fa
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t7c-mwe-8j0
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ykw-ggk-q3y
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/k392rcs98d
title: The neuronal receptor tyrosine kinase Alk is a target for longevity

description: Raw data to accompany the paper "The neuronal receptor tyrosine kinase Alk is a target for longevity," Aging Cell (2020). https://doi.org/10.1111/acel.13137
DOI: 10.3535/34n-mny-7k5
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kgc-y80-bv8
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c5t-wfc-g08
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t9w-f3e-z6q
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v4s-ejw-f1z
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v5r-ymg-m25
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3v3-6hb-97d
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ceh-l81-7ll
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e52-ns9-4xw
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qs9-jqa-q7w
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27880005.v3
title: Data

description: Regional landslide extraction is the basis of landslide hazard risk management. Acquiring landslide location and size information timely and effectively is crucial for disaster prevention and reduction. However, existing methods face challenges in accuratelyidentifyinglandslides due to inadequate learning of object features. Moreover, previous studies on the automated extraction of landslides have predominantly focused on those triggered by seismic events and precipitation, mining-induced landslides extractionremains comparatively limited. Here, we develop the MRSD-U-Net model, an enhanced deep learning network integrating multi-source remote sensing data and residual learning module.This model enhances the extraction of landslide features by deepening the network and capturing topographic, textural, and spectral information. The performance assessment show thatMRSD-U-Netachieves lower error rates, higher accuracy, and stronger generalization ability compared to other advanced deep learning models, thereby enabling a more accurate extraction of landslide boundaries. Furthermore, the landslide areas extracted by MRSD-U-Net are the most consistent with ground reference data. The research providesan effective method for the rapid and precise extraction of mining-induced landslides.
DOI: 10.17632/gbnnzbxg39
title: Influence of dpa rate on carbide precipitation and Ar bubble growth processes in solution-annealed AISI 316L alloys irradiated with Au and Ag ions

description: Inclues raw and processed data to reproduce the findings of this article
DOI: 10.3535/32v-9k4-ew4
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fvg-hfp-vp4
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.10264904.v1
title: Interview schedule

description: This data is the interview schedule for the study of surrogacy in Nigeria.
DOI: 10.17632/js4sst2jc6
title: Influence of Scenario-based Learning on problem-solving using critical thinking analysis approach in medical and health science education.

description: Introduction: With the abrupt changes in educational systems, the educational sectors and teachers tried to develop new skills and practice toward students’ understanding of new skills and knowledge. So, there were some ways to encourage students to use their critical thinking and brainstorming to identify the problem or issues when providing scenarios based on clinical experience. Objective: the aim of this research study is to assess and explore the Influence of scenario-based learning on a critical thinking analysis approach in medical and health science education.. Method: This research study was a descriptive systematic review with meta-analyses for randomized control trials and quasi-experimental research studies that were conducted from the period of 2008 to 2022. The main themes of the research study were scenario-based learning on problem-solving by using a critical thinking approach abilities, the tutor’s role in solving the struggles that students faced during the application of scenario-based learning, and the strategical plan of the medical and health professional education toward scenario-based learning. The subthemes from the theme of scenario-based learning on problem-solving by using a critical thinking approach ability were problem-solving techniques and the plan of action during patient care with the implementation of the plan of care provided during clinical practice. The meta-analyses were done for 15 research studies in the medical and health science education specialist. This research examined the analyses from these studies by using Revman Review Manager 5.4 software. Result: The result of the study showed that all the research participants were 5265 at 100% weightage and risk ratio, M-H, random, and 95% CI were 0.78(0.69, 0.89), with heterogeneity Tau²= 0.05, chi ² = 164.88, and df= 14 (p=0.00001) that is highly significant( p &lt; 0.05). And the total effect was Z= 3.59 (p= 0.0003). conclusion: In conclusion, the study is supporting the research study with homogeneity results and is highly significant. Also, most of the research studies supported research studies that scenario-based learning is highly important in learning and teaching medical and health science specialties and this can help them before going to the training in the hospitals.
DOI: 10.3535/44z-xkk-he9
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vcc-3vd-c78
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22362760.v1
title: Sandpiper 1 matrix results

description: Sandpiper 1 screen
DOI: 10.3535/25a-x9d-n1q
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k7h-j46-yby
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3x2-8ty-6pc
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/avf-9ga-ja0
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/vwsssxbghy
title: Research Data: Lying and commitment: The case of pointing gestures

description: This dataset includes the critical items, additional plots, and the cleaned data file from our experiment, used for the analysis in the article "Lying and Commitment: The Case of Pointing Gestures."
DOI: 10.3535/542-w7q-ylx
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8rr-p3b-2wd
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/3c542bxz65
title: Description of Simulated Fear Dynamics Data

description: The provided code generates synthetic data to simulate the dynamics of fear under the influence of external and decision-making forces. Let's delve into the components and describe the characteristics of the generated data:

System Components:
Mass of Fear Element: mass: A constant representing the mass of the fear element. In physics, mass influences how an object responds to external forces.
Time Array: Time: An array representing time, ranging from 0 to 10 with steps of 0.1. This defines the temporal aspect of the simulation.
Forces:

external_force: Simulated external force, represented by the sine function over time. It models environmental factors impacting fear.
decision_force: Simulated decision-making force, a linear function of time. It represents an illustrative force related to decision-making.
Fear Dynamics Simulation:
The fear dynamics are simulated using numerical integration. The fear element's position (fear_position) and velocity (fear_velocity) are updated over time based on the external and decision-making forces.

Visualisation:
The simulated fear dynamics are visualised through two subplots:

Forces Influencing Fear Dynamics:
External force and decision force are plotted against time. This provides insight into how these forces vary over the simulation duration.
Fear Dynamics with Decision-Making:
Fear element position is plotted against time. This plot illustrates how the fear element's position evolves over time, considering both external and decision-making forces.
Key Takeaways:
The simulation combines external and decision-making forces to model fear dynamics.
Visualisation helps understand the impact of forces on fear over time.
This is a simplified model, and specific force functions can be adjusted for more realistic simulations.
Note:
In a real-world scenario, such simulations can be more complex, considering various factors and interactions influencing fear dynamics. This model provides a foundational understanding for more intricate simulations.
DOI: 10.3535/82s-rff-9p8
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r9v-lbg-a2f
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/8f9jctrjpd
title: The Effect of Ethical Leadership on Work Engagement and Workaholism: Examining Self-Efficacy as a Moderator

description: This study aims to investigate how ethical leadership can influence work engagement and workaholism through the potential moderating effect of self-efficacy. There have been debates on the similarities, their negative correlation, and differences between these two work outcomes. To show one new aspect of evidence regarding the debate, we chose ethical leadership as the common antecedent of the outcomes and analyzed the relationships while considering a boundary condition, self-efficacy. For this purpose, using an online questionnaire, we collected primary data from 80 graduate students from a university in Indonesia. An experimental research design was applied, and we used t-test and hierarchical regression analysis to confirm the relationship mentioned above. Results indicate that ethical leadership has a positive effect on work engagement, while it has an insignificant effect on workaholism. Moreover, self-efficacy did not moderate the relationships between ethical leadership and work engagement, or ethical leadership and workaholism. One novelty of the present study is the finding of different consequences of the two “similar” work outcomes from ethical leadership. Implications, limitations, and direction for future research are also discussed.
DOI: 10.17632/yx9ffwdgjg
title: Data for: FOOD-RELATED ROUTINES, PRODUCT CHARACTERISTICS, AND HOUSEHOLD FOOD WASTE IN THE UNITED STATES: A REFRIGERATOR-BASED PILOT STUDY

description: Code and data used in: Davenport, M.L., Qi, D. & Roe, B.E. (2019). "Food-related routines, product characteristics, and household food waste in the United States: A refrigerator-based assessment ". Submitted to Resources, Conservation and Recycling. 1. Analysis Stata (.do) file 2. State of the American Refrigerator Survey: Refrigerator Inventory Data
DOI: 10.3535/9bq-3cs-cdl
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/brx-hvj-5y2
title: Graptolithina Bronn, 1849

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2z7-jtz-s83
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lxh-gcm-eav
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19071620.v4
title: Biogeographies of genomic provinces from "Restructuring of plankton genomic biogeography in the surface ocean under climate change"

description: This dataset contains all coordinates and presence probabilities of biogeographies described in the article "Restructuring of genomic provinces of surface ocean plankton under climate change" https://www.biorxiv.org/content/10.1101/2020.10.20.347237v8
DOI: 10.6084/m9.figshare.24913920.v1
title: Food Insecurity and Eating Disorder Symptomatology in Gender Minority Adults

description: This research examined the relationship between food insecurity and eating disorder symptomatology among U.S. gender minority adults and how that relationship may be impacted by gender minority stress and social support.
DOI: 10.6084/m9.figshare.28559201.v1
title: Complex Interplay Between Emotional States and Gait Parameters: A Domain-Specific Investigation in Healthy Young Adults

description: This dataset contains spatiotemporal gait parameters and concurrent mood assessments from 16 healthy young adults across multiple sessions during an academic semester. Data were collected to examine relationships between naturally occurring mood states and walking characteristics, accounting for time-of-day variations and individual differences. For detailed protocol information, please refer to the published manuscript.Dataset Contents<b>gait_data.csv</b> (n=73 observations):Spatiotemporal parameters (temporal, spatial, phase organization)Gait variability measuresAnthropometric data<b>mood_data.csv</b> (n=67 observations):Individual emotion ratingsComposite affect scores<b>gait_mood_merged.csv</b> (matched observations):Combined dataset for direct analysis of mood-gait relationshipsTechnical NotesParticipant identifiers anonymizedTemporal relationships preserved through relative study daysSession timing (morning/afternoon) maintainedAll measurements standardized and quality-controlled
DOI: 10.17632/dj7ys332db
title: Articles of Author's Collaboration in Indonesia

description: This data contains a collection of Indonesian authors' articles on writing collaborative research.
DOI: 10.3535/hbc-f6a-kmw
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zhv-6zx-1p0
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22256155.v1
title: Rumen viral genome catalogs

description: The rumen viral genome catalog was constructed by sequencing virus-like particles in the rumens of 22 Japanese cattle. The completeness of viral genomes was assessed using CheckV. RVG1 includes viral genomes that were classified as “Complete,” “High-quality,” and “Medium-quality”.
DOI: 10.3535/w70-1v6-vr9
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/33v3c5gp3p
title: LanHEP — A package for automatic generation of Feynman rules from the Lagrangian. Version 3.2

description: Abstract We present a new version 3.2 of the LanHEP software package. New features of the program include tools for the models with extra dimensions, implementation of the particle classes for FeynArts output, using templates with LanHEP statements, color sextet particles and new substitution techniques which allow to define new routines. Title of program: LanHEP Catalogue Id: AECH_v2_0 Nature of problem Deriving Feynman rules from the Lagrangian Versions of this program held in the CPC repository in Mendeley Data AECH_v1_0; LanHEP; 10.1016/j.cpc.2008.10.012 AECH_v2_0; LanHEP; 10.1016/j.cpc.2016.01.003 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.3535/4y1-n7m-9eq
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mny-b1s-bg6
title: †Pterygometopidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16530678.v2
title: Supplementary file for manuscript: Associations between sexual orientation, financial security and relationships with family and peers during the COVID-19 pandemic in Nigeria

description: <b>Background: </b>This study aimed to determine whether factors associated with financial insecurity during the COVID-19 pandemic were associated with worsening relationships with family, peers and friends of sexual minorities living in Nigeria. <b>Methods:</b> Data were collected using an online survey conducted from 29<sup>th</sup> June to 31<sup>st</sup> December 2020. The outcome variable was the quality of relationship with family, friends and peers during the COVID-19 pandemic. The explanatory variables were the sexual orientation (lesbians, gays, bisexuals, heterosexual), COVID-19 status, and financial security (job loss or reduced/lost wages because of the COVID-19 pandemic). Multilevel logistic regression analysis models with robust estimation were built and used to assess the association between the outcome and explanatory variables. The models were adjusted for sociodemographic profile (age, sex at birth, education status). <br>
DOI: 10.17632/tsh2mwwfct
title: "We are not aware of notification of tuberculosis": a mixed-methods study among private practitioners in Western India

description: Data (quantitative) and transcripts (qualitative)
DOI: 10.3535/je8-5xd-9lh
title: Illaenus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p5m-n12-nmh
title: Rollmops wenjukowi

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cy9-fyz-llg
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q9z-awt-q2f
title: Illaenus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/00c-dza-rkx
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gld-hwj-re5
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e5d-n12-2eg
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lqg-bpp-7g8
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jcs-gky-9x9
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v8e-a2l-2d0
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/aze-qz7-23j
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qx3-e70-c26
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/djp-9pc-wtr
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xsn-ryt-x2x
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/17n-arz-bnk
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z33-p4y-ccc
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22304107.v1
title: Arabidopsis thaliana reference

description: Arabidopsis thaliana- Formatted references single locus per sequence. "reference_fasta_header_info.txt & target length" Arabidopsis thaliana reference used for comparison Arabidopsis thaliana -This file was used to compare the three pipelines Captus, HybPiper, and SECAPR.
DOI: 10.3535/n8g-qjv-td8
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/va4-7tg-j3z
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c1e-eee-p6j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hea-16r-98l
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hz5-m7h-jfb
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j1w-afv-a2f
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0pn-0e7-s25
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/67z-fx1-nfg
title: †Dicoelosia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.