cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/scr79cbxxd
title: Dataset for machine learning based approximations of strip packing / nesting heights

description: Solving strip packing or nesting problems with highly irregular shapes is a complex and computation time intensive task. In some cases, it is adequate to estimate the strip height instead of solving the nesting problem completely. 
The file Nesting sample data.csv/*.xlsx consists of 88,200 (complex) nesting instances generated and used in the paper "Approximate anticipation of base-level reactions by machine learning techniques used to substitute the solving of complex nesting problems". The first 14 columns describe details of the nesting instances (e.g., item types used in the instance, the width of the object, used in which phase of the machine learning process etc.), whereat the column "Nesting Solution" is the computed height of the instance. All the remaining columns are numerical features which can be used as a input in the machine learning process (for details see the reference paper).
Besides the two data files, a jupyter notebook is provided to illustrate the usage of the data.

In addition, we provide the 50 used base item shapes as .svg files to be used in future research.
DOI: 10.6084/m9.figshare.21803034.v1
title: Supplementary Material for: Endoscopic Laryngopharyngeal Surgery Combined with Endoscopic Submucosal Dissection as a Treatment Option for Superficial Hypopharyngeal Cancer with Suspected Synchronous Lymph Node Metastasis

description: We report 4 cases of hypopharyngeal cancer preoperatively suspected with synchronous lymph node metastases. Pathologic lymph node metastasis was confirmed in three of the four cases. All 4 cases underwent endoscopic laryngopharyngeal surgery (ELPS) combined with endoscopic submucosal dissection (ESD) and subsequent lymph node dissection as an optional treatment rather than the standard treatment. Peroral resection for primary site was selected because of the expected decline in quality of life (QoL) after radical surgery. Among 4 patients, one developed local recurrence; however, the other three remained recurrence-free and survived without any additional treatment. Furthermore, the patient who developed local recurrence had a recurrence-free survival for more than 5 years, with additional chemoradiation therapy. No disorders in speech, swallowing, or breathing was observed during the follow-up period. ELPS combined with ESD is generally indicated for laryngopharyngeal cancer without synchronous lymph node metastasis. However, this can be a treatment option for patients may wish to preserve a greater QoL after treatment. In the future, when more data on the results and long-term prognosis of this treatment are accumulated, it may be possible to discuss its validity further.
DOI: 10.6084/m9.figshare.22078451.v2
title: Molecular and morphological characterisation of four new ancyromonad genera and proposal for an updated taxonomy of the Ancyromonadida

description: Multiple sequences alignments and phylogenetic trees from the analyses of ancyromonads, including 14 new isolates. Most of them belong to three new and genetically divergent genera: <em>Caraotamonas</em>, <em>Nyramonas</em>, and <em>Olneymonas</em> (with the new species <em>Caraotamonas croatica</em>, <em>Nyramonas glaciarum</em>,<em> Nyramonas silfranensis, </em>and <em>Olneymonas thurstoni </em>spp. nov.). The remaining three new species belong to the already known genera <em>Fabomonas </em>and <em>Ancyromonas </em>(<em>Fabomonas mesopelagica</em>, <em>Ancyromonas mediterranea</em>, and <em>Ancyromonas pacifica</em> spp. nov.).
DOI: 10.6084/m9.figshare.22631044.v1
title: Zhu et al 2023 data files

description: Data files from "The mechanosensitive ion channel Piezo1 contributes to ultrasound" Zhu et al 2023<br>
DOI: 10.6084/m9.figshare.24717789.v2
title: EC-data-

description: This dataset contains the Electrochemical testing results for the paper titled: <b>Effect of Solid-Electrolyte Pellet Density on Failure of Solid-State Batteries</b>
DOI: 10.6084/m9.figshare.27134016.v7
title: An inventory of industrial solid waste in 337 cities of China: Applying machine learning for data completion

description: Rapid industrialization of China generated a massive quantity of waste, among them industrial solid waste contributed the biggest flow to some 60 gigatonnes (Gt) in the past two decades. A complete tempo-spatial dataset of industrial waste, however, is absent in many areas in China, due to numerous waste producers and insufficient statistical coverage. To fill up the gap, we collected current available data from thousands of sources. We further developed six machine learning models to complete the dataset across all the 337 cities in China for the period 1990–2022. Bayesian optimization was employed to obtain the best estimation model for each city and to enhance its performance and resilience. In addition to the aggregate waste amount, generation of six major subcategories of industrial waste, i.e., metallurgical slags, fly ash, furnace slags, coal gangue, tailings, and desulfurization gypsum, are presented for more than half of the cities in 2022. This dataset can help researchers and policymakers recognize and address challenges brought by industrial waste.
DOI: 10.17632/kymvwcyb5t
title: COVID-19 vaccine hesitancy among Italian university students: insights from history to shape the future

description: The dataset was used in a cross-sectional study aimed at investigating, among Italian university students, the acceptance and uptake of the COVID-19 vaccine as well as the factors that led to these outcomes. The secondary goal was to pro-vide insight for future interventions by shedding light on the potential barriers to COVID-19 vaccine access.The information is collected through an online questionnaire that is filled in by respondents. The online survey was sent via institutional email. An anonymous and structured questionnaire was used.
The survey questions covered the following topics: socio-demographic characteristics (8 closed-ended with multiple answers and open-ended questions); general information (i.e., personal or family members' history of COVID-19 and the severe side effects they experienced) (5 questions with a “yes/no” response format); general knowledge about vaccines and COVID-19 vaccine (4 questions with a “true/false/do not know” response format); fear and attitudes towards COVID-19 vaccine (8 questions with true/false/do not know response format and closed-ended with five-point Likert scale response format); practices related to COVID-19 vaccine (7 items on a five-point Likert scale response format); sources of information and trust in the information received about COVID-19 vaccines (4 items, closed-ended with multiple answers and “yes/no” response format).
DOI: 10.6084/m9.figshare.22213921.v1
title: Code Availability Python

description: In this file, we provide examples of how to plot some signals presented by this dataset. The example has a menu where the user can indicate a specific signal to be visualized.
DOI: 10.6084/m9.figshare.29035772.v1
title: Paper code and output file.zip

description: The data for the article: Spatial Offset of Excited States in Non-Hermitian Lattices
DOI: 10.17632/56tp93t52r
title:  A stepwise approach for the management of primary erythromelalgia: a prospective single-arm study

description: Supplemental materials and figures for the manuscript " A stepwise approach for the management of primary erythromelalgia: a prospective single-arm study" published in Journal of the American Academy of Dermatology.
DOI: 10.6084/m9.figshare.12317219.v6
title: PPDIST, global 0.1° daily and 3-hourly precipitation probability distribution climatologies for 1979–2018

description: The Precipitation Probability DISTribution (PPDIST) dataset represents a collection of global high-resolution (0.1°) observation-based climatologies (1979–2018) of the occurrence and peak intensity of precipitation at daily and 3-hourly time scales. For more details, please see the following open-access paper: <br><br>Beck, H. E., Westra, S., Tan, J., Pappenberger, F., Huffman, G. J., McVicar, T. R., Gründemann, G. J., Vergopolan, N., Fowler, H. J., Lewis, E., Verbist, K., and Wood, E. F.: PPDIST, global 0.1° daily and 3‑hourly precipitation probability distribution climatologies for 1979–2018, Scientific Data 7, 302 (2020).<br><br>Please cite the above-mentioned paper when using the dataset in any publication. If the dataset forms a key component of your research, we kindly ask that you give us the opportunity to comment on your results prior to publication.
DOI: 10.6084/m9.figshare.13224386.v1
title: Monte Carlo Samples for axion minicluster disruption in the Milky Way

description: Monte Carlo results for the properties of axion miniclusters in the Milky Way, taking into account pertubations due to stars.<br>The simulations are performed on a grid of semi-major axis a. For each value of a (in pc), we simulate 10^5 AMCs, which are sampled with a log-flat mass function. The labels "PL" and "NFW" specify the internal density profile of the AMCs. For each sample, there are three types of file: 1) AMC_Ninteractions_XXX - the number of expected interactions calculated at the start of the simulation for each AMC. 2) AMC_Ninteractions_true_XXX - the actual number of interactions before the end of the simulation or until the AMC is destroyed.3) AMC_logflat_XXX - individual AMC properties in the Monte Carlo. <br>In files labeled "AMC_logflat_XXX", the columns correspond to:M initial [Msun], R initial [pc], Initial overdensity delta, M final [Msun], R final [pc], Final overdensity delta, eccentricity, orbital inclination psi [radians].<br><br>Files labeled with "circ" assumed an eccentricity of 1 for all orbits (i.e. circular orbits). <br>For more details, see the associated paper "Stellar Disruption of Axion Miniclusters in the Milky Way" (Kavanagh, Edwards, Visinelli, Weniger, 2020) or the associated code (https://github.com/bradkav/axion-miniclusters/).
DOI: 10.6084/m9.figshare.26043928.v1
title: <b>Transcript of the Interview on the Construction of the Blockchain-based Student Identity Management System (BSIMS) Model in Higher Education Personal Learning Environments</b>

description: 本研究介绍了基于区块链的学生身份管理系统（BSIMS），这是一个新颖的概念框架，旨在缓解当前身份管理系统中普遍存在的信任赤字、数据隐私侵犯和缺乏互操作性等问题。BSIMS专为增强高等教育中的个人学习环境（PLE）而量身定制，为身份验证和数据管理提供安全、可靠、透明和高效的服务。该模型的开发以对来自高等教育和企业部门的七位经验丰富的信息和通信技术 （ICT） 专家的半结构化访谈为指导，重点关注 PLE 中的个人隐私保护挑战。这些访谈的主题分析揭示了关键挑战，包括数据安全、控制、流通、信任、用户需求和体验，以及系统性能和可扩展性。这些见解为 BSIMS 模型提供了信息，该模型包括 PLE 参与者、PLE 平台、身份验证、区块链验证、共享学习内容、区块链技术和学习记录存储 （LRS） 验证系统等模块。这些模块的特点是自主性、安全性、灵活性和效率。该研究详细阐述了这些组件的功能和相互作用，承认了BSIMS模型的局限性，并提出了未来的研究方向。本研究的意义在于利用区块链技术在高等教育的PLE中建立自主、安全、灵活和高效的身份管理机制。这种方法的创新之处在于将区块链技术应用于PLE平台的身份验证过程，并在模型中引入使用区块链记录用户行为的功能。它增强了PLE平台上的个人隐私保护，展示了区块链在教育领域的巨大潜力，也为我们提供了对教育方法未来的全新愿景。
DOI: 10.17632/6hgh5zrny5
title: Dataset of Comprehensive study of Mechanical, Electrical and Biological Properties of Conductive Polymer Composites for Medical Applications through Additive Manufacturing

description: Data of the mechanical, electrical and biological measurements.
Mechanical measurements: tensile, 3-point bending, Charpy impact, Shore D hardness
Electrical tests: signal transfer, electrical resistance during cyclic tensile test, electrical resisitance during cycling the temperature, electrical resistance during 3-point bendig test
Biological tests: cytotoxicity and light microscopy
DOI: 10.17632/bfrt75n8wh
title: Data Management Planning Institutional Underpinnings Outputs at the University of Canberra

description: This data set is a collection of materials used to establish Research Data Management Planning at the University of Canberra (UC). 

We describe two components of this project, (1) Integration and (2) Engagement. THis work was completed as part of the Outputs for the Australian Research Data Commons (ARDC) Institutional Underpinnings Project in 2022. The aim of sharing these materials is to provide awareness and allow the reproduction of these projects at other institutions. This data set consists of several items from (1) and (2). Briefly, we describe the aims of each project below:

(1) Integrating a data mangement planning (DMP) tool (ReDBox) with UC's research manager (Pure) in accordance with new UC DMP Policy. We wanted a seemless workflow for researchers to create and develop a data management plan for new research project. That is, an integrated system initiated when a project is awarded in Pure, spurring the creation of a ReDBox data management plan, with fields pre-filled with information from the Pure project.

(2) Raise awareness of this integration and the benefits of data mangement planning (DMP) for researchers. We wanted to educate researchers on the aims of DMP (risk-management and data governance) as well as how to engage in that at UC, i.e. using Pure and ReDBox for their research projects and associated data management.

Please refer to the README contained in the Outputs folder for additional information.
DOI: 10.6084/m9.figshare.12356384.v1
title: Questionnaire-pesticide and lung cancer Thailand

description: Questionnaire for the study of pesticide exposure and lung cancer in Nakhon Sawan, Thailand.<br>
DOI: 10.6084/m9.figshare.1284292.v1
title: Part 1 of LTSTM data from Sept 2004

description: This is the first part of a set from September 2004 of low temperature STM data.
DOI: 10.6084/m9.figshare.19314110.v1
title: Alzate.Gorgona_ReefFishData.xlsx

description: Community data on coral and rocky reef fish. Data includes information on 10 transects on coral and 10 transects on rocky reefs in Gorgona Island, Colombia, Tropical Eastern Pacific.<br><br>
DOI: 10.6084/m9.figshare.19617894.v1
title: Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño

description: All these data and codes are used for the analysis of "Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño".
DOI: 10.6084/m9.figshare.26531719.v1
title: Oxalate decarboxylase

description: In <i>M.oryzae</i>,<b> </b>the D-erythroascorbic acid (EASC) pathway is the main pathway for synthesizing oxalic acid. Mitochondria serve as intracellular power plants, with TCA cycle being the main energy metabolism process. During the process of power generation, “heat” (H<sub>2</sub>O<sub>2</sub>) is released. EASC is like a radiator, responsible for removing excess “heat” (H<sub>2</sub>O<sub>2</sub>) and ensuring normal cellular metabolism. And, the formation of oxalic acid is a product of EASC clearing excess H<sub>2</sub>O<sub>2 </sub>by TCA cycle. Meanwhile, oxalic acid forms formic acid, which enters the one-carbon cycle to form acetyl-CoA and then enters the TCA cycle. From the perspective of ATP formation, the formation of oxalic acid ensures the carbon cycle and thus the progress of energy metabolism. When the oxalic acid degradation pathway is disrupted (Δ<i>Mooxdc</i>), the <i>M.oryzae</i> produces a stress response, which activates the up-regulation of oxalate oxidase and oxalate transporter protein expression to reduce the damage of excessive oxalate to the cell.
DOI: 10.6084/m9.figshare.26838265.v1
title: Preferential fluids ascent paths revealed by coupling chemical, electrical and magnetic methods: insights for risk mitigation in a long-dormant volcanic province (Monts Dore, France) [Dataset]

description: This study focuses on the dormant volcanic province of the Monts Dore in France, and in particular, around the Lake Pavin, in order to identify the preferential pathways by which volcanic fluids (water, gas, magma) can ascend. By combining data on soil CO<sub>2</sub> flux with geophysical information (magnetism, electrical resistivity tomography), fluid circulation routes were mapped. The results highlighted two potential sites of fluid emission likely to affect inhabited areas, since simulations of potential lava flow propagation were also carried out on the basis of the identification of these high permeability areas. As a result, potential risks maps were drawn up to show the feasibility of identifying exposed areas to natural hazards even in long-term quiescent volcanic provinces. This research provides new methodological elements in order to assess volcanic risk and develop an adapted urban planning in long-dormant volcanic areas as the Monts Dore.
DOI: 10.6084/m9.figshare.27037849.v1
title: Dataset Structural Equation Model - Catfolis et al.

description: Forests provide crucial habitats for nature and people, but also harbor organisms, such as ticks, that can act as vectors for pathogens. Consequently, understanding how forest management practices influence host-parasite-pathogen interactions is essential for promoting both forest biodiversity conservation and nature’s contributions to people. Therefore, this study investigates the complex relationships between forest structural complexity, body condition, and tick infestation probability in a common forest bird, the great tit (Parus major), across 19 forests in the Flemish Ardennes, Belgium. Using Structural Equation Modeling (SEM), we first integrated multiple phenotypic health proxies into a single overall condition index. Subsequently, we assessed how variations in forest structural complexity impact the condition of forest birds and their chances of contracting ticks. Our findings revealed that birds in a better physiological condition, primarily driven by lower levels of cellular stress (indicated by longer telomeres) are more likely to carry ticks. This may be due to ticks preferring healthier and more nutritious hosts and/or condition-linked differences in bird behavior (e.g. foraging), resulting in higher contact rates with ticks. While forest structural complexity did not significantly affect the birds' overall body condition, it was responsible for an increased tick infestation probability. Specifically, forests with higher structural complexity were associated with increased densities of questing nymphs, thereby elevating the risk of tick infestation in birds. Our study highlights the multifaceted role of forest structure in shaping host-parasite dynamics. These insights are valuable for developing forest management practices that balance the enhancement of ecological health with the mitigation of health risks posed by tick-borne diseases.
DOI: 10.17632/fgjkdkrzmt
title: Low cost climate station for urban heat island characterisation and outdoor thermal perception

description: This repository is made up of  for the construction of a station for a low-cost climate station should include the following components:

1. 3D parts to print

    This component of the repository should include all the 3D parts necessary to build the climate station.
    It should include files in STL or other suitable 3D file formats that can be printed using a 3D printer.
    The files should be named appropriately to make it easy for users to identify and print the different components of the climate station.

2. The Arduino code

    This component of the repository should include the Arduino code necessary to run the climate station.
    The code should be well-documented, clearly written, and easy to understand.
    It should include comments to explain what each part of the code does and how it interacts with the different components of the climate station.
    The code should be stored in a separate file and named appropriately.

3. Operations instructions

    This component of the repository should include detailed instructions on how to operate and maintain the climate station.
    It should include step-by-step instructions on how to assemble the different components of the climate station and how to install them in the appropriate location.
    The instructions should also include troubleshooting tips, maintenance requirements, and safety precautions.
DOI: 10.17632/sg36r35njz
title: MQCT 2024: A program for calculations of inelastic scattering of two molecules (new version announcement)

description: This is a revised and updated version of the package MQCT. The package includes routines for the calculations of ro-vibrational state-to-state transition cross sections for molecule + molecule collisions, using the mixed quantum/classical theory approach. One important addition to the package is an efficient and accurate adiabatic-trajectory approximation method (AT-MQCT), which enables calculations for larger and more complex molecules. An efficient parallel IO is implemented for state-to-state transition matrix, which now permits to handle very large matrixes, but also helps to truncate these matrixes by neglecting insignificant matrix elements and to balance the load on different CPUs during the matrix calculations and during the trajectory propagation. A stable recursive approach is added for computation of Wigner 3j-symbols, which expands the range of rotational states of molecules up to j∼ 100. Examples of input files are provided for all ten system types covered by the package, along with updated user manual.
DOI: 10.17632/xvs8292ytz
title: Hepatic conversion of acetyl-CoA to acetate plays crucial roles in energy stresses

description: All data generated or analyzed during "Hepatic conversion of acetyl-CoA to acetate plays crucial roles in energy stresses" are included in the source data file.
DOI: 10.6084/m9.figshare.12040074.v2
title: Supplementary Table 2 - 4

description: See manuscript for details
DOI: 10.6084/m9.figshare.6265646.v1
title: Patient30

description: Female Patient with 205 slice of pulmonary embolism CT-Angiography.
DOI: 10.17632/8yh57yxcrw
title: Database on Soil Related Applications of Process-based Crop Models

description: Crop models have a wide range of applications and soil research is one of them. The current literature on soil-related applications of process-based crop models was assessed using two widely used crop models; Agricultural Production Systems Simulator (APSIM) and Decision Support System for Agrotechnology Transfer (DSSAT). Publications available in the Scopus database (www. scopus.com) during the 2000-2021 period were considered. This database contains details on the title, authors, source of publication, published year and Digital Object Identifier (DOI) of publications, associated crop model and specific module (if any), country/ geographic region of application, and the major application type. The database can be used to determine the specific application of crop models in different geographic locations which is important to select crop models for different purposes and model development.
DOI: 10.17632/kd2zn6cstt
title: Geochemical and mineralogical data

description: Data associated with the manuscript: "Controls over cesium and rubidium contents of sedimentary rocks" by Jan Środoń and Karol Jewuła submitted to GCA. The data include five tables: 1) Supplementary Table 1 contains chemical analyses of clay fractions acquired in the course of this study. 2) Supplementary Table 2 contains quality control data for chemical analyses of clay fractions provided by Actlab Laboratories. 3) Supplementary Tables 3-5 contain quantitative XRD and chemical analyses of bulk rock samples used in this study: the Miocene, Keuper, and Ediacaran-Cambrian sets, respectively. The R script used for generating plots and linear regression is also provided.