cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3tprt675dd.1
title: [Dataset and R codes]: Access restrictions to forest resources, rather than COVID-19 bans, drive the selection of firewood species for bonfires during Festas Juninas in northeastern Brazil

description: Dataset and R codes supporting the statistical analyses of the Research Article "Access restrictions to forest resources, rather than COVID-19 bans, drive the selection of firewood species for bonfires during Festas Juninas in northeastern Brazil" by Iara Vitória de Oliveira Araújo, Diego Centeno-Alvarado and Marcelo Alves Ramos in Journal of Ethnobiology and Ethnomedicine (https://doi.org/10.1186/s13002-024-00677-w).
DOI: 10.17632/tnk42hhjjk.1
title: Parallel Corpus Dataset of Indonesian and Bengkulu Malay Language

description: This is a parallel corpus dataset in which each sentence has a corresponding pair. This dataset is specifically created to facilitate the use of machine learning in the field of translation. The dataset is meticulously compiled to encompass various contexts and topics, enabling users to expand their understanding of the use of everyday language, language variations, as well as expressions and typical idioms from both languages.

This dataset is independently compiled, with a total of 5261 sentences formed through the collection of online sources for the Indonesian language. Additionally, it utilizes the Malay language dictionary from the Bengkulu library, located in the city of Bengkulu, Bengkulu Province, Indonesia.
DOI: 10.17632/mm3gsrgsr5.1
title: 23-02492-RNAseq-DMSO

description: Centriolar satellites are high-order assemblies, scaffolded by the protein PCM1, that gravitate as particles around the centrosome and play pivotal roles in fundamental cellular processes notably ciliogenesis and autophagy. Despite stringent control mechanisms involving phosphorylation and ubiquitination, the landscape of post-translational modifications shaping these structures remains elusive. Here, we report that necrosulfonamide (NSA), a small molecule known for binding and inactivating the pivotal effector of cell death by necroptosis MLKL, intersects with centriolar satellites, ciliogenesis, and autophagy independently of MLKL. NSA functions as a potent redox cycler and triggers the oxidation and aggregation of PCM1 alongside select partners, while minimally impacting the overall distribution of centriolar satellites. Additionally, NSA-mediated ROS production disrupts ciliogenesis and leads to the accumulation of autophagy markers, partially alleviated by PCM1 deletion. Together, these results identify PCM1 as a redox sensor protein and provide new insights into the interplay between centriolar satellites and autophagy.
DOI: 10.17632/2ssxzv7gsm.1
title: Visual representation of symbolic elements and composite equation

description: The generated data and plot provide a symbolic representation of various elements associated with the portrayal of a figure, possibly reflecting a combination of divine and human attributes. The elements include:

Voice of God (V_God): Symbolized by a continuous curve, representing the communication of divine wisdom and guidance. The values range from 0 to 1, emphasizing a divine voice.

Divine Power (P_Divine): Depicted by a sine wave, showcasing the oscillation of divine influence. This could symbolize miracles and manifestations of divine authority.

Human Emotions (H): Presented as a cosine curve, illustrating the ebb and flow of human emotions. The curve signifies the relatable human experiences of anger, sorrow, and fear.

Relatability (R): Represented by a constant value of 1, indicating a consistent level of relatability. This could symbolize the enduring connection between the portrayed figure and the human experience.

The Composite Equation combines these symbolic elements, representing the interplay between divine and human attributes. The equation, 

J×(V_God+P_Divine)+H+R, combines divine authority, divine voice, divine power, human emotions, and relatability into a single representation.

The plot visually conveys the dynamics of these symbolic elements and their collective impact on the composite equation. The dashed line represents the composite equation, showcasing how the various elements harmoniously contribute to the overall portrayal. The plot provides a visual narrative of the complex interweaving of divine and human qualities, capturing the essence of the described figure.
DOI: 10.17632/2hvnhrszh4.1
title: Visual Model of Pedagogical Genius of Jesus

description: The visual model illustrates the dynamic interplay of key spiritual elements within the Pedagogical Genius of Jesus. Each line on the graph represents a crucial component in the transformative journey:

Everyday Objects (Everyday Life):

The curve for Everyday Objects signifies the recognition of the divine in the ordinary aspects of life. It demonstrates the integration of spirituality into everyday existence.
Familiar Scenarios (Recognizable Situations):

The Familiar Scenarios curve depicts the resonance of spiritual teachings with familiar situations, making profound wisdom accessible in common experiences.
Complex Spiritual Truths (Spiritual Understanding):

The sine wave of Complex Spiritual Truths reflects the ebbs and flows of understanding deeper spiritual dimensions. It acknowledges the intricate nature of comprehending profound truths.
Language of the People (Accessible Communication):

The cosine wave for Language of the People represents the balanced communication style used by Jesus to make spiritual teachings accessible to all. It emphasizes the importance of clear and relatable communication.
Language of the Heart (Heartfelt Communication):

The sine wave of Language of the Heart signifies the emotional and heartfelt dimension of Jesus' communication. It highlights the crucial connection between the intellect and the heart in spiritual understanding.
Mysteries of the Kingdom of God (Divine Revelation):

The sum of Language of the People and Language of the Heart, depicted by the MK curve, symbolizes the revelation of the mysteries of the Kingdom of God. It represents the holistic understanding arising from the integration of heart-centered and intellectual insights.
Transformation (Spiritual Evolution):

The cosine wave of Transformation illustrates the cyclical nature of spiritual growth. It emphasizes that spiritual evolution is an ongoing process, marked by phases of growth and introspection.
Pedagogical Effectiveness (Culmination):

The dashed line representing Pedagogical Effectiveness combines all the elements, showcasing the culmination of Jesus' pedagogical genius. Peaks in this curve represent moments of profound understanding and transformation, underlining the impact of effective spiritual teaching.
This visual model provides a comprehensive representation of the multifaceted approach employed by Jesus in guiding individuals through a transformative spiritual journey.
DOI: 10.17632/vt5rhnbspg.1
title: Real-World Driving Scenarios for Optimal System Design

description: In general, the kind of test case definition has a major impact on propulsion system development. Particularly, not only the standard test cases but also explicitly the limit ranges must be investigated, and distinctive profiles for real world driving cycles and boundary conditions must be defined and evaluated.
The provided data were used for the extensive simulation studies from the manuscript entitled: "HyFlex-ICE: Highly Flexible Internal Combustion Engines for Hybrid Vehicles " (doi:10.1007/978-3-658-42048-2_18).
For this research project, an investigation of the hybrid powertrain in realistic limiting ranges during vehicle life cycle to point out most challenging scenarios regarding the system limitations was assessed. Therefore, the four Real-World Driving Scenarios were derived and investigated in this project: (1) City Cycle, (2) Cross-Country Cycle, (3) German Highway Cycle, and (4) Mountain Drive Cycle. These driving scenarios capture all different challenges regarding the propulsion system. Besides aforementioned driving cycles, additional variation parameters are included for extensive powertrain testing to maximize coverage of real-world driving conditions. This ensures that operating points are approached that cannot be investigated in an analysis using standardized test procedures, e.g., WLTC. The examined and investigated variation parameters for real-world driving conditions are: (1) trailer, (2) cabin climatization, (3) initial state of charge, (4) ambient and cabin soak temperatures, (5) traffic conditions, (6) cabin occupants, and (7) driver type; resulting in a large matrix of results. Against this background, the speed profiles are provided over distance, as the speed over time profile changes depending on the choice of boundary conditions.
By providing these Real-World Driving Scenarios to the academic and industrial community the authors aim to further support the frontloading and virtual propulsion system development. Although these driving cycles were used for the design of a hybrid vehicle (PHEV), they can of course be used for the development of other propulsion concepts such as ICEVs, xHEVs, BEVs, or FCEVs.
DOI: 10.17632/snrcpkbrnd.1
title: Dark Dyad

description: This is the data about dark dyad, performance and self-efficacy.
DOI: 10.17632/6s3yr49t7x.2
title: Derivative spectrophotometry-assisted determination of tryptophan metabolites emerges characteristic dysregulations in both the host and gut microbiota in septic rats

description: Accuracy and linearity of each analyte.
DOI: 10.17632/6s3yr49t7x.3
title: Derivative spectrophotometry-assisted determination of tryptophan metabolites emerges characteristic dysregulations in both the host and gut microbiota in septic rats

description: Accuracy and linearity of each analyte.
DOI: 10.17632/6s3yr49t7x.4
title: Derivative spectrophotometry-assisted determination of tryptophan metabolites emerges host and intestinal flora dysregulations during sepsis

description: Accuracy and linearity of each analyte.
DOI: 10.17632/6s3yr49t7x.1
title: Derivative spectrophotometry-assisted determination of tryptophan metabolites emerges characteristic dysregulations in both the host and gut microbiota in septic rats

description: Accuracy and linearity of each analyte.
DOI: 10.17632/6s3yr49t7x.5
title: Derivative spectrophotometry-assisted determination of tryptophan metabolites emerges host and intestinal flora dysregulations during sepsis

description: Precision and linearity of TRP metabolites.
DOI: 10.17632/8w5gx6wmfy.1
title: Biologic immunomodulatory medications and autoimmune cytopenias: A cross-sectional analysis of a national surveillance database - Full study methodology

description: Supplemental methods: Study methodology
DOI: 10.17632/3cbhz8pkz7.1
title: Integrative omics of human and mouse prostate unravels the heterogeneity and diversity of regulatory mechanisms in prostate cancers

description: S
DOI: 10.17632/cjy2s3pdgv.1
title: Data for "Layer symmetry and irradiation dominate the oxidation capability of birnessite: Implications for the biogenic isoprene cycle"

description: Data for "Layer symmetry and irradiation dominate the oxidation capability of birnessite: Implications for the biogenic isoprene cycle"
DOI: 10.17632/mc76gp46vj.1
title: DATA IDENTIFICATION OF BIOMASS FOR ENERGY USING NEURAL NETWORKS APPLIED TO THERMOGRAVIMETRIC CURVES

description: This work evaluates the use of TGA curve markers (similar to genetic markers) to obtain information on biomass. That is, multiple values of percentage of residual weight with respect to the initial one at specific temperatures of the TGA curve are used to identify specie and wood and leaf mixtures. 

The data obtained from the TGA analyzes for different mixtures of leaves and wood (100% leaf, 50% leaf and 50% wood and 100% wood) of 7 species are presented (poplar (Populus sp.), caper (Euphorbia laurifolia), alder (Alnus acuminata), arupo (Chionanthus pubescens), cypress (Cupressus macrocarpa), eucalyptus (Eucalyptus globulus), linden (Sambucus nigra L.) and pine (Pinus radiata))

From each of the thermogravimetric curves, the residual weights of the sample at fixed temperatures have been selected (100ºC, 175ºC, 200ºC, 325ºC, 400ºC, 475ºC and 550ºC). These weights represent the input to a neural network to identify both the species and the percentage of leaves and wood.

The last sheet of the file shows the assignment of values to each species and the final combination of the mixture of leaves and wood, output of the neural network.
DOI: 10.17632/32hv69mnj6.1
title: Simulation for comparing multivariate data-driven methods for industrial sensor delay estimation

description: Source code and results for exactly regenerating the data and results of the simulation study reported in (to be published). Industrial sensory data is simulated and subjected to several data-driven methods for estimating temporal delays between the sensors. A new method is proposed to estimate these delays by optimizing multivariate correlations, and is shown to be more accurate than the currently more standard method that optimizes bivariate correlations.
DOI: 10.17632/32hv69mnj6.2
title: Simulation for comparing multivariate data-driven methods for industrial sensor delay estimation

description: Source code and results for exactly regenerating the data and results of the simulation study reported in (to be published). Industrial sensory data is simulated and subjected to several data-driven methods for estimating temporal delays between the sensors. A new method is proposed to estimate these delays by optimizing multivariate correlations, and is shown to be more accurate than the currently more standard method that optimizes bivariate correlations. Updated on November 6th, 2023 after internal review by authors.
DOI: 10.17632/32hv69mnj6.3
title: Simulation for comparing multivariate data-driven methods for industrial sensor delay estimation

description: Source code and results for exactly regenerating the data and results of the simulation study reported in (to be published). Industrial sensory data is simulated and subjected to several data-driven methods for estimating temporal delays between the sensors. A new method is proposed to estimate these delays by optimizing multivariate correlations, and is shown to be more accurate than the currently more standard method that optimizes bivariate correlations.

Updated on November 6th, 2023 after internal review by authors.
DOI: 10.17632/32hv69mnj6.4
title: Simulation for data-driven sensor delay estimation in industrial processes using multivariate projection methods

description: Source code and results for exactly regenerating the data and results of the simulation study reported in (to be published). Industrial sensory data is simulated and subjected to several data-driven methods for estimating temporal delays between the sensors. A new method is proposed to estimate these delays by optimizing multivariate correlations, and is shown to be more accurate than the currently more standard method that optimizes bivariate correlations.

Updated on November 6th, 2023 after internal review by authors.
DOI: 10.17632/32hv69mnj6.5
title: Simulation for data-driven sensor delay estimation in industrial processes using multivariate projection methods

description: Source code and results for exactly regenerating the data and results of the simulation study reported in (to be published). Industrial sensory data is simulated and subjected to several data-driven methods for estimating temporal delays between the sensors. A new method is proposed to estimate these delays by optimizing multivariate correlations, and is shown to be more accurate than the currently more standard method that optimizes bivariate correlations.

Updated on March 13th, 2024.
DOI: 10.17632/67r8fgpgks.1
title: Reproduction code for Sovereign Debt and Credit Default Swaps

description: Reproduction code for Sovereign Debt and Credit Default Swaps, conditionally accepted at the Journal of International Economics
DOI: 10.17632/pgt9gw5kx5.1
title: submission for JOSS

description: sharing this data for submission
DOI: 10.17632/bkr62x86p8.1
title: STAR-PROTOCOLS-D-23-00123R1

description: PY79 sporulation.lif is a raw image file (LAS X program (Leica Microsystems, Wetzlar, Germany)). It contains a time-lapse in DIC ( channel 1) and fluorescence (channel 2) channels of B. subtilis PY79 cells in a nutrient-poor medium in the presence of 0.5 μg/ml uM FM4-64 dye. Frames are 5 min apart in the time-lapse series.Cells initially growing vegetatively in a nutrient-rich medium were placed in a nutrient-poor medium to initiate endospore formation. Dye was added, and cells were placed under an agar pad (to immobilize them). Imaging started 1 hour after the nutrient downshift to minimize total light exposure and dye toxicity.Cells that perform engulfment without signs of defects or damage were cropped and rotated. The cropped images were analyzed using the workflow described in the protocol.Three examples of cropped cells are provided (Cell1, 3, and 7). For each cell, the cropped and rotated cell is shown as a .tif stack (e.g., Cell1_timelapse.tif) and as a montage (e.g., Cell1_montage.txt). Membrane contours in individual tif stacks were analyzed using an active contour detection algorithm (Smith…Vavylonis, Cytoskeleton, 2010, 67:693–705. https://doi.org/10.1002/cm.20481). The resulting “snake” files for the mother cell (e.g., cell 1 MC snakes.txt) or the membranes surrounding the forespore (e.g., cell 1 FS snakes.txt) are also included (see the protocol or Smith et al. for details). To locate the individual cells in PY79 sporulation.lif, open PY79_RoiSet.zip. Recording-2024-01-09-14-34-57.mp4 captures screen recordings as authors open, crop cells, pre-process data, and utilize plugins. PY79_sporulation.ijm is a Fiji macro designed for opening and cropping raw data, preparing it for generating snakes in Filament J.
DOI: 10.17632/gpbhn228zy.1
title: The use of health communication theories and strategies used for NCD prevention on social media platforms

description: This data was collected for my scoping review. As a new subject matter expert, I collected data on health communication and disease prevention.
DOI: 10.17632/tyz8zb9shk.1
title: Database: Integration of the SECI model and ChatGPT in higher education

description: Results obtained in the 4 phases of the SECI process, corresponding to university students. The results are categorical on a Likert scale from 1 to 5. They are in .sav format, which belongs to the IBM SPSS Statistics program.
DOI: 10.17632/6td5dxf6bj.1
title: Pylos oceanographic data

description: Raw CTD and current meter data obtained in 2011, West of Pylos (Greece), Eastern Mediterranean. (cf cruise report included)
DOI: 10.17632/fsy664w9n8.1
title: Clusters of Andean Pb isotopes obtained by K-means

description: Revise the related paper submitted to SSRN for more information
DOI: 10.17632/46n94cngkx.1
title: Multi_layer graph plant leaf segmentation

description: We showcase the results of our graph-based diffusion technique utilizing random walks with restarts on a multi-layered graph using the publicly accessible Pl@ntleaves (H. Go¨eau, P. Bonnet, A. Joly, N. Boujemaa, D. Barth´el´emy, J.-F. Molino, P. Birnbaum, E. Mouysset, M. Picard, The clef 2011 plant images classification task, Vol. 1177, 2011.) dataset. This dataset comprises 233 high-resolution leaf images taken in their natural environments, presenting various segmentation challenges such as shadows, diverse lighting conditions, and leaf overlap. Our method primarily focuses on identifying leaf regions by initially locating the leaves within the images and then propagating intensity scores from foreground templates to image boundaries to generate saliency maps. By applying a threshold to these saliency maps produced through the diffusion process, we derive binary masks that effectively separate the leaves from the backgrounds. Ground truth images are provided for visual evaluation of our algorithm's performance.Folders description: image: RGB images mask: Ground truth masks FG_templates: foreground templates and bounding boxes defined on dataset images 
Salinecy_map: saliency maps obtained by our approach PR_masks: Predicted masks obtained by tresholding our salinecy maps Plant_Leaf_Segmentation: a compressed folder containing the above folders.
DOI: 10.17632/gxfsmgd5fm.1
title: Supplementary Table I. Patient comorbidities and risk factors for calciphylaxis

description: Prevalence of disease comorbidities and risk factors for calciphylaxis in our cohort.
DOI: 10.17632/xw7fytswrg.1
title: Efficacy of Free Sunscreen Dispenser Implementation at a Tertiary Care Medical Center

description: Supplementary Table 1. Locations Suggested for Sunscreen Dispensers
DOI: 10.17632/vz39y8mj4b.1
title: Business model innovation, organizational agility, open innovation and export performance

description: The database was created to understand the impact that business model innovation has on export performance. Also, to analyze organizational agility and open innovation as antecedents of business model innovation. The empirical study based on the dataset permits a better understanding of the relationships between these variables.
DOI: 10.17632/vz39y8mj4b.2
title: Business model innovation, organizational agility, open innovation and export performance

description: Business model innovation is increasingly considered as crucial driver of firm performance. Since studies examining this relationship in international markets are scarce, the database was created to understand the impact that business model innovation has on export performance, variable widely used to capture success in international markets. In addition, to analyze the role of organizational agility and open innovation as antecedents of business model innovation. Due to the importance of business model innovation in today´s turbulent markets, the empirical study based on this dataset, permits a better understanding of its antecedents and its impact on firms´ export performance what can help guide managers in their decisions.
DOI: 10.17632/d52dppkkxs.1
title: Supplement: Characterization of disease burden, treatment and comorbidities in a large, real-world cohort of patients with atopic dermatitis: the CorEvitas Atopic Dermatitis Registry

description: Supplemental protocol and tables for "Characterization of disease burden, treatment and comorbidities in a large, real-world cohort of patients with atopic dermatitis: the CorEvitas Atopic Dermatitis Registry"
DOI: 10.17632/d52dppkkxs.2
title: Supplement: Characterization of disease burden, treatment and comorbidities in a large, real-world cohort of patients with atopic dermatitis: the CorEvitas Atopic Dermatitis Registry

description: Supplemental protocol and tables for "Characterization of disease burden, treatment and comorbidities in a large, real-world cohort of patients with atopic dermatitis: the CorEvitas Atopic Dermatitis Registry"
DOI: 10.17632/8t6f7229r4.1
title: Complete dataset of phosphorus and calcium balance trials used to develop the mineral requirement submodel of The Nutrition System for Dairy Cattle. Dairy Cattle Research Lab, Universidade Federal de Mato Grosso, Campus Sinop, Brazil.

description: Complete dataset of phosphorus (P) and calcium (Ca) balance trials used to develop the mineral requirement submodel of The Nutrition System for Dairy Cattle. Dairy Cattle Research Lab, Universidade Federal de Mato Grosso, Campus Sinop, Brazil. e-mail: andre.oliveira@ufmt.br.
DOI: 10.17632/8t6f7229r4.2
title: Complete dataset of phosphorus and calcium balance trials used to develop the mineral requirement submodel of The Nutrition System for Dairy Cattle. Dairy Cattle Research Lab, Universidade Federal de Mato Grosso, Campus Sinop, Brazil.

description: Complete dataset of phosphorus (P) and calcium (Ca) balance trials used to develop the mineral requirement submodel of The Nutrition System for Dairy Cattle. Dairy Cattle Research Lab, Universidade Federal de Mato Grosso, Campus Sinop, Brazil. e-mail: andre.oliveira@ufmt.br.
DOI: 10.6084/m9.figshare.25161938
title: Cruciferae_LIR

description: Cruciferae_LIR