cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23739117.v1
title: <b>DataSet from </b><b>Ericoid shrub encroachment shifts aboveground–belowground linkages in three peatlands across Europe and Western Siberia</b>

description: The folder contains the data (with metadata) used in the article <b>Ericoid shrub encroachment shifts aboveground–belowground linkages in three peatlands across Europe and Western Siberia published in </b>Global Change Biology (dot: 10.1111/gcb.16904). It includes data on the manipulative warming and drought experiment and data on the Andromeda cover gradient replicated in three peatlands across a bioclimatic gradient.
DOI: 10.6084/m9.figshare.24778146.v1
title: Ribeiro et al., 2023

description: Dataset
DOI: 10.6084/m9.figshare.5285818.v2
title: DiverseGenome-AllvAll-cluster_HMMs

description: Generated by all vs. all blast of 34 eukaryote genomes, followed by mcl clustering, alignment of proteins in each cluster, and generation of HMMs from each alignment.
DOI: 10.17632/8cyd4g424p
title: “Red Tweezers”: Fast, customisable hologram generation for optical tweezers

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Holographic Optical Tweezers (HOT) are a versatile way of manipulating microscopic particles in 3D. However, their ease of use has been hampered by the computational load of calculating the holograms, resulting in an unresponsive system. We present a program for generating these holograms on a consumer Graphics Processing Unit (GPU), coupled to an easy-to-use interface in LabVIEW (National Instruments). This enables a HOT system to be set up without writing any additional code, as well as pro... Title of program: Red Tweezers Catalogue Id: AEQH_v1_0 Nature of problem This program controls a holographic optical tweezers instrument, including GPU-accelerated rendering of holograms, monitoring the video feed and presenting a user-friendly interface to manipulate particles. Versions of this program held in the CPC repository in Mendeley Data AEQH_v1_0; Red Tweezers; 10.1016/j.cpc.2013.08.008
DOI: 10.6084/m9.figshare.28431077.v1
title: Games_and_Culture_2025-questionnaire.pdf

description: The development of digital games requires the creation of immersive experiences that align with players' expectations, making UX practices essential to ensuring the quality of the user experience. However, the integration of UX in the industry still faces significant challenges, such as validation with end users, collecting representative feedback, and the shortage of specialized professionals. This exploratory study, conducted using the Opinion Research method, analyzed the perceptions of professionals (N=128) and the barriers faced by Brazilian studios. The analysis employed a mixed-methods approach, combining quantitative and qualitative methods. The results highlighted that, although UX is widely recognized as strategic, its implementation is still constrained by technical and strategic challenges, particularly in small studios. Furthermore, the research suggests that advancements in training, accessible tools, and validation processes are essential to overcoming these barriers. The study contributes to the understanding of UX practices in the industry and proposes directions for future research.
DOI: 10.6084/m9.figshare.28529999.v3
title: Investigating the Application of IoT Mobile App and Healthcare Services for Diabetic Elderly: A Systematic Review

description: As the prevalence of diabetes increases among the elderly population, effective management becomes increasingly crucial. IoT mobile applications offer promising solutions for diabetes care by providing real-time monitoring, medication management, and lifestyle support. This paper aims to investigate the potential applications and challenges of IoT mobile applications in managing diabetes among elderly patients. Three databases including Scopus, Web of Science, and IEEE were systematically searched; 29 articles were screened in the final analysis process. Key results indicate that the application of mobile apps includes blood glucose monitoring, medication adherence, promotion of physical activity, and dietary control. Devices such as continuous glucose monitors and smart pill dispensers significantly improve glycemic control and medication adherence rates, these technologies enable real-time tracking, personalized feedback, and timely interventions, which enhance self-management and communication with healthcare providers. However, technical challenges like interoperability, data security and privacy, usability and involvement of policymakers pose significant barriers to their effective implementation. Collaborative efforts from healthcare providers, device manufacturers, and policymakers are essential to overcome these barriers and fully leverage the benefits of IoT technologies in diabetic elderly care. This review highlights the need for collaborative efforts to develop standardized frameworks that ensure device compatibility and seamless data integration in IoT solutions for diabetic elderly care, enhance data privacy with advanced technology, and design user-friendly apps for the diabetic elderly to improve the generalization and adoption of IoT IoT mobile applications in healthcare fields for elderly.
DOI: 10.6084/m9.figshare.9927314.v1
title: PHASE BEHAVIOR DATA AND THERMODYNAMIC MODELING OF THE BINARY SYSTEM {CO2 + COUMARIN} AT HIGH PRESSURES

description: Abstract In this work, vapor - liquid (VLE) equilibrium for the binary system carbon dioxide (1) + coumarin (2) at high pressures was measured by a static synthetic method using a variable-volume view cell. Experimental data were obtained in the temperature range of 318 - 338 K and pressures up to 20 MPa. Coumarin molar fraction ranged from 3.0x10-3 to 6.0x10-3. Coumarin melting point reduction at high pressures was observed. The experimental results were modeled using the Peng-Robinson (PR) equation of state with van der Waals quadratic mixing rules (vdW - QMRs), providing a good representation of the experimental phase equilibrium data. Critical properties and the acentric factor were estimated using the Constantinou and Gani method, which showed to be satisfactory on the quality of data correlation. Results indicate coumarin solubility increases with increasing phase transition pressure at a given temperature.
DOI: 10.17632/csvwf6mvr9
title: MSKCC RCM BCC Part 1

description: This dataset was used in the paper: Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy (JID, 2021)
DOI: 10.17632/d8tjdxyjcm
title: Data for: "A functional topography within the cholinergic basal forebrain for encoding sensory cues and behavioral reinforcement outcomes."

description: Data for the article titled: 
"A functional topography within the cholinergic basal forebrain for encoding sensory cues and behavioral reinforcement outcomes."
By Blaise Robert, Eyal Y. Kimchi, Yurika Watanabe, Tatenda Chakoma, Miao Jing, Yulong Li and Daniel B. Polley.

Preprint:  https://doi.org/10.1101/2021.04.16.439895

MATLAB scripts can be run to reproduce the figures from the final paper.
DOI: 10.17632/kygjf563w3
title: Ab initio pseudopotentials for electronic structure calculations of poly-atomic systems using density-functional theory

description: Abstract The package fhi98PP allows one to generate norm-conserving pseudopotentials adapted to density-functional theory total-energy calculations for a multitude of elements throughout the periodic table, including first-row and transition metal elements. The package also facilitates a first assessment of the pseudopotentials' transferability, either in semilocal or fully separable form, by means of simple tests carried out for the free atom. Various parameterizations of the local-density approximat... Title of program: fhi98PP Catalogue Id: ADKA_v1_0 Nature of problem The norm-conserving pseudopotential concept allows for efficient and accurate ab initio electronic structure calculations of poly-atomic systems. The key features of this approach are: (i) Only the valence states need to be calculated. The core states are considered as chemically inert, and removed within the frozen-core approximation. This exploits that many chemical and physical processes are governed by the valence states but only indirectly involve the core states. (ii) The valence electrons ... Versions of this program held in the CPC repository in Mendeley Data ADKA_v1_0; fhi98PP; 10.1016/S0010-4655(98)00201-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/pfsydwvcj2
title: Effect of iberdomide on cutaneous manifestations in systemic lupus erythematosus: a randomized phase 2 clinical trial - SUPPLEMENTARY MATERIAL

description: Supplementary materials for the Effect of iberdomide on cutaneous manifestations in systemic lupus erythematosus: a randomized phase 2 clinical trial manuscript.
DOI: 10.17632/td4c6p4x9n
title: IVF_Raw_Data

description: This Dataset is used to examine the relationship between in vitro fertilization (IVF) treatment and nutritional factors
DOI: 10.17632/xz4mcwr367
title: The Significance of Globalization and Cross-Border Mergers and Acquisitions on the Indian Corporate Legal Profession

description: The phenomenon of globalization post-1991 gave rise to constant interaction between international law firms and international clientele, there has been a movement of knowledge, systems, and practice to Indian law firms such that they are able to undertake a larger role in cross-border transactions, notably, Mergers and Acquisitions (M&A). This involves the merger of two-companies across borders, or the acquisition by one of the businesses or the control of another. Though a substantial part of the flow of the capital, goods and services in the twentieth century was from the developed world into emerging markets, the contrary vogue has lately become quite leading as well. This owing to a fact that law firms in the participating jurisdictions are called upon perpetually to advise. Hence, the impact of globalization on the legal profession has been an interesting subject matter of academic study. This research article with reference to India in the backdrop of cross-border M&A, which is the most typical transaction that utterly exemplifies the various facets of globalization. Although the cross-border market for M&A is relatively nascent in India, there is a paucity of widespread availability of these skills and the required sophistication, which bring about the consequential pressure on big lawyers within the Indian corporate legal profession.
DOI: 10.6084/m9.figshare.22144847.v2
title: Unbiased per capita CO2 emissions and ranking (2019)

description: This is the dataset for 2019 world biased/unbiased per capita CO2 emissions including ranking. The original data (country, code, population, CO2) was downloaded from the World Bank with date 12/22/2022 (we used the 2019 data because a lot of 2020 and 2021 data were missing at the point of download).
DOI: 10.6084/m9.figshare.26412472.v1
title: CatGWR: Context-Attention Geographically Weighted Regression

description: Code and Dataset for Context-Attention Geographically Weighted Regression
DOI: 10.6084/m9.figshare.9750503.v4
title: e-VOL BPMN: A Technique to Support the Evolution and Learning of BPMN Diagrams

description: In the software maintenance, business process models help practitioners understanding of the software, because it represents the organizational process in which software is embedded. BPMN (Business Process Modeling and Notation) is the standard notation for business process modeling. However, it is common for the BPMN diagrams to be outdated, which, among other possibilities, may be caused due to the lack of adequate knowledge of some practitioners about the notation. It is important to provide means to stimulate the evolution of these models and, consequently, to aid in the learning of BPMN notation. With this focus, we proposed and evaluated the e-VOL BPMN, a technique that supports the evolution of BPMN diagrams and on learning BPMN notation. In this evaluation, we compared e-VOL BPMN with the BPMN 2.0 Poster, an artifact used commonly to support BPMN notation in companies. Participants who used the e-VOL BPMN in a scenario of diagrams evolution presented more correct BPMN diagrams and had a higher learning perception of the notation. In addition, in a written exam on BPMN notation, participants who used e-VOL BPMN scored higher. From these results, we notice that e-VOL BPMN support both learning and evolution of BPMN diagrams.
DOI: 10.17632/vpgtz9pzw8
title: Radiation induced gliomas Prague

description: This dataset is from the single institutional cohort of radiation induced gliomas and contains fastq files from DNA panel NGS (ArcherDx VariantPlex kit) and idat files from DNA methylation array (Illumina Infinium EPIC methylation kit).
DOI: 10.6084/m9.figshare.1318733.v6
title: Nerwip Corpus v4 - Data
DOI: 10.6084/m9.figshare.28463927.v1
title: Muthukuda et al.JES.Supplementary file 1 and 2.xlsx

description: Severe Cushing syndrome is a medical emergency Etomidate is the only intravenous option available for treating hypercortisolism, especially in critically ill patients obviating oral medications. A Systematic review and meta-analysis were conducted on the use of etomidate in the treatment of severe Cushing syndrome. This was registered in PROSPERO and data reporting was done as per the PRISMA guidelines. Thirty-six published articles comprising 76 clinical cases of 78 clinical episodes of etomidate use were included in the analysis for this review. Etomidate was administered safely to patients of ages ranging from 2 months to 82 years. Faster cortisol reduction rates were observed in patients with higher baseline cortisol levels, those receiving a prior bolus dose, and those given higher initial infusion rates. Etomidate as first-line therapy and ICU settings were associated with more rapid cortisol reduction compared to its use as subsequent therapy or in non-ICU settings. Etomidate is effective and safe for reducing cortisol levels in Cushing syndrome.
DOI: 10.6084/m9.figshare.28738709.v1
title: Vegetation and Permafrost Thermal State Dataset Along the Gonghe–Yushu Segment of the Qinghai-Kang Engineering Corridor (2000–2020)

description: In this study, the NDVI data were obtained from Landsat 7 ETM+ and Landsat 8 OLI/TIRS imagery, which underwent atmospheric corrections, cloud removal, and cloud processing using Google Earth Engine (GEE) (https://code.earthengine.google.com). Field-measured MAGT generally at a depth of 15 m were collected for four periods (2010, 2013, 2016, and 2019), primarily in July or August each year, from 16 borehole sites on the northern (K445, MDB, YNG-1, YNG-2, YNG-3, CLP-2, CLP-3, CLP-4, and BSK) and southern (BSKN, CLQ-2, K364-1, K364-2, QSH-1, QSH-2, and QSH-3) flanks of the Bayan Har Mountains. These measurements were taken at the D<sub>ZAA</sub> (Luo et al., 2018b). The digital elevation model (DEM) was sourced from the Japan Aerospace Exploration Agency (JSXA) (https://www.eorc.jaxa.jp/ALOS/en/aw3d30/data/index.htm; accessed on 12 May 2024), and land use and cover change (LUCC) data were obtained from the GlobeLand30 dataset (https://www.globallandcover.com/; accessed on 6 August 2021). Annual precipitation (AP) and land surface temperature (LST) data were retrieved from the Big Earth Data Platform for Three Poles (https://poles.tpdc.ac.cn/zh-hans/; accessed on 16 May 2024) and MAGT data were sourced from the European Space Agency (ESA) climate office (https://catalogue.ceda.ac.uk/uuid/6ebcb73158b14cd5a321b7c0bc6ed393/; accessed on 16 May 2024). MODIS snow cover and evapotranspiration (ET) data were downloaded from the National Tibetan Plateau Data Center (TPDC) (https://data.tpdc.ac.cn; accessed on 03 November 2023). Soil type data were provided by the Chinese Academy of Sciences Resource and Environment Science Data Center (https://www.resdc.cn; accessed on 12 May 2024), while Human Footprint (HFP) data, from (https://doi.org/10.6084/m9.figshare.16571064; accessed on 28 June 2023).
DOI: 10.6084/m9.figshare.28784744.v1
title: Osteoporosis_Pakistan_Dataset

description: This dataset contains <b>980 synthetic but realistic records</b> of individuals from Punjab, Pakistan, designed for research on osteoporosis risk factors. The dataset excludes menopause age and comorbidity details, focusing instead on lifestyle, dietary, socioeconomic, and clinical indicators that can contribute to bone health assessments.<b>Key Highlights:</b><b>Region Covered:</b> Only individuals from Punjab province<b>Data Type:</b> Realistically simulated data<b>Format:</b> Excel (.xlsx)<b>Variables (23 total):</b><br>Age, Gender, BMI, Urban/Rural, Calcium Intake, Vitamin D Level, Physical Activity, Smoking, Fracture History, Family History, Bone Density (T-score), Diet Type, Sunlight Exposure, SES Level, Education, Occupation, Marital Status, etc.<b>Usage:</b> Suitable for statistical analysis, machine learning models, and public health research on osteoporosis in Punjab
DOI: 10.6084/m9.figshare.29087183.v1
title: Reinforcement learning control method for greenhouse vegetable irrigation driven by dynamic clipping and negative incentive mechanism

description: The irrigation control is a critical aspect of greenhouse vegetable production. However, existing agricultural irrigation studies face limitations such as high equipment requirements, overly complex systems and difficulty in configuring algorithm parameters. This study proposes a greenhouse vegetable irrigation prediction method based on an improved Proximal Policy Optimization (PPO) algorithm. By integrating various greenhouse environmental factors and reinforcement learning algorithms, the study establishes a reinforcement learning framework to simulate vegetable growth. To address the challenges of continuous action space and high-dimensional state space, this study introduces the PPO algorithm to enhance convergence efficiency, thereby proposing an enhanced reinforcement learning algorithm (ENPPO). Experimental results demonstrate that the ENPPO algorithm outperforms two other methods in irrigation control. By utilizing real-time environmental data and historical irrigation records, the ENPPO algorithm predicts reasonable irrigation amounts, achieving precise irrigation control to enhance vegetable growth efficiency. The study explicitly distinguishes between irrigation prediction and control methods, providing a comprehensive technical approach to improving water resource utilization and reducing agricultural production costs.
DOI: 10.6084/m9.figshare.7745396.v1
title: hematite XRD

description: hematite XRD
DOI: 10.17632/22jwmgvjcr
title: Hydrolysable microplastics in soil – low biodegradation but formation of a specific microbial habitat?

description: We provide reproducible R-codes and data sets accompanying the research article "Hydrolysable microplastics in soil - low biodegradation but formation of a specific habitat?".

To better understand the fate of MP and assess the impacts of MP on C cycling in soil, we studied microbial interactions of MP-soil mixtures (MP-amended soil) and individual MP particles of MP with soil microorganisms in a microcosm experiment. We investigated the biodegradability of hydrolysable and non-hydrolysable MP (PLA/PBAT and LDPE) in two different size fractions and the potential effects of MP on microorganisms in dry and wet soil. We hypothesized that (H1) only PLA/PBAT will be mineralized, while LDPE persists, (H2) due to biodegradation of PLA/PBAT, soil microorganisms respond more strongly to PLA/PBAT than to LDPE, and (H3) surfaces of individual PLA/PBAT particles exhibit morphological changes and enhanced activities of specific hydrolytic enzymes (lipases). We expected that interactions of soil microorganisms with MP-amended soil and MP particles are strongest in wet soil (i.e., non-limiting microbial activity) and small MP particle size (i.e., high specific surface area).

We organized research data and analyses according to our hypotheses in three folders ("MineralizationData" (H1), "MicrobialData" (H2), and "EnzymeParticleData" (H3)). In addition, you find the folder "ParticleMeasurement", which contains particle size and shape analyses. You find information about their contents and on how to access and run the data analyses in the "README.html" file.
DOI: 10.17632/86h7vd7grh
title: Mobility behaviour based on mobile cellular data: a fuzzy-clustering approach to identify mobility behavioural segments and geographical patterns

description: Multidimensional fuzzy clustering based on individual mobile cellular data provides information for mobility pattern recognition, to define typical groups of mobility behaviour. Grouping of individual mobility patterns is a multivariable, empirical way for behavioural profiling of individuals. Geographical component of mobile cellular data is registered, collected and processed all over the world, using fairly similar technologies for data retrieval, which makes the analysis replicable. Academics, business professionals, civil planners aiming at being informed about general and specific mobility behaviour of a geographical unit can benefit from multidimensional fuzzy clustering method. The data and the method we share here provides a data procession framework, computational sequence, along with some domain-specific parameter setting for multidimensional fuzzy clustering analysis. Fuzzy clustering can be the core of further segmentation analysis, aimed at identifying general and specific behavioural profiles regarding individual mobility. The data we published here is an aggregated, analysed dataset derived from long-term system operation data, that meets the criteria of big data in volume, variety, velocity and exhaustiveness. It provides aggregated data about individual mobility trajectories of about 5.6 million equipment, about 45% of the Hungarian telecommunication devices, which makes the dataset unique in terms of spatial and temporal resolution as well as coverage.
DOI: 10.6084/m9.figshare.11752740.v3
title: Dataset for building fault detection and diagnostics algorithm creation and performance testing

description: This data set can be used to evaluate and benchmark the performance accuracy of FDD algorithms or tools. It contains operational data from physical experimentation as well as simulation. The data sets currently cover AHU-VAV systems and RTUs, and will be expanded over time to include additional building systems and fault conditions. They include data from commonly available measurement points, spanning system operations under a variety of fault-present and fault-free conditions. This operational data is paired with ground truth information as to which faults are present during which time periods.
DOI: 10.6084/m9.figshare.13336862.v2
title: Metabolic perturbation associated with COVID 19 disease severity and SARS CoV-2 replication

description: Metabolomics data set of the manuscript titled "Metabolic perturbation associated with COVID‑19 disease severity and SARS‑CoV-2 replication"