cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27211653.v1
title: <b>The Relationship Between Mindfulness and Depression: Examining the Chain Mediating Role of Shyness and Core Self-evaluation</b>

description: The dataset includes data from the following psychological measures:Chinese version of the Five Factor Mindfulness Scale The Chinese version of the Five Factor Mindfulness Scale (Deng, 2009) was used to assess college students’ mindfulness levels. The questionnaire consists of 39 items and includes five dimensions: Observing, Describing, Acting with awareness, Nonjudging of inner experience, and Nonreactivity to inner experience. Chinese Version of the Beck Depression Inventory-II (BDI-II-C) The BDI-II is a self-report scale of depressive symptoms developed by Beck et al. (1996). It consists of 21 items that cover the emotional and cognitive aspects of clinical depression. Respondents rate the severity of depressive symptoms over the past two weeks on a 5-point Likert scale. The version used in this study, translated by Yang et al. (2012).The Revised Cheek and Buss Shyness Scale The Revised Cheek and Buss Shyness Scale, developed by Cheek (1983), was revised by Xiang et al. (2018). This scale consists of 13 items scored on a 5-point Likert scale, with higher scores indicating higher levels of shyness. Core Self-Evaluations Scale (CSES) The Core Self-Evaluations Scale, developed by Judge et al. (2000), was translated and revised by Du et al. (2012). The revised scale consists of 10 terms, with 2 items removed for cultural compatibility. By calculating the mean score of all items, an individual’s level of core self-evaluation is determined. The dataset has been pre-processed to ensure high quality for analysis:Invalid questionnaires have been removed: ensuring that only complete and correctly filled questionnaires are included.Reverse scoring has been corrected: for items that require it, ensuring that all scores are correctly aligned and can be directly interpreted.Ready for analysis using mean scores: indicating that the data can be directly used for statistical analysis by calculating average scores for each scale or subscale.<br>
DOI: 10.6084/m9.figshare.28112405.v1
title: Augsburg data set and Berlin data set for multimodal classification

description: ugsburg data set and Berlin data set for multimodal classification.This data set is a public data set, and the download address of the data set is provided in the related research articles. You can download it by following the link address. The data set is preprocessed into training data, test data and real label data respectively, and the real label data can be divided into training label data and test label data. The processing method is realized by writing a preprocessor in python.Augsburg data set:The data set contains HS data, SAR data and DSM data, and the data is divided into training sets, test sets and real label data.Berlin data set:The data set includes HS data, SAR data, and data has been divided into training set, test set and real label data.
DOI: 10.6084/m9.figshare.28607099.v1
title: Dataset for the article: 'Modeling Women Cyclists' Perceived Security: A Comparison of Machine Learning Techniques'

description: This dataset contains data collected from female participants assessing perceived security while cycling in a virtual reality (VR) laboratory at the University of Tehran, Iran, as described in the study "Modeling Women Cyclists' Perceived Security: A Comparison of Machine Learning Techniques." Participants experienced multiple VR scenarios simulating various urban environments and traffic conditions, with features including crowdedness (1-4), incivility (1-3), lighting (1-3), obstruction of visibility (1-4), and surveillance (0-1). After each scenario, participants rated their perceived security (1=low, 2=medium, 3=high) via a questionnaire. The final dataset includes 208 samples after outlier removal, with five independent variables and the target variable "perceived security." Data was preprocessed with normalization and standardization for machine learning analysis. See the accompanying README.txt and the paper for variable definitions and file structure. This dataset supports the development of the DNN-stack2 model (84.07% accuracy) and is intended for research on cyclist security, urban planning, and machine learning applications.
DOI: 10.6084/m9.figshare.3513398.v1
title: Appendix A. Detailed methods of airborne imaging spectroscopy, LiDAR, bioacoustic recordings, and bird surveys.

description: Detailed methods of airborne imaging spectroscopy, LiDAR, bioacoustic recordings, and bird surveys.
DOI: 10.17632/xfhsyssgrk
title: Transcriptomics dataset and metabolomics datasets of Frem2 Mutant Mice Embryos

description: Supplemental Excel Spreadsheet 1. Summary of all differentially expressed genes discovered by RNA-seq analysis. Supplemental Excel Spreadsheet 2. Summary of all significant different metabolites discovered by untargeted metabolomics analysis.
DOI: 10.6084/m9.figshare.5509432.v1
title: Model - Hand and Foot Image Selector

description: Requirements- BVLC PyCaffe for Python example<br><br>Download- Caffe Model + Python source + WIN64 EXE example :<br><br>How to useResNet-152; 3 outputs : #0 handfoot photos #1 others #2 index photos<br><br>We created a Windows 64bit executable using pyinstaller (http://www.pyinstaller.org).<br>Example)1) Windows 64bit EXE example<br>c:\handfoot\demo.bat<br><br>2) Python example ; requirements - PyCaffe<br>handfoot.bat [source_path] [result_prefix]
DOI: 10.6084/m9.figshare.11294579.v1
title: A update of piper nigrum genome files

description: A update of piper nigrum genome files
DOI: 10.6084/m9.figshare.14602203.v1
title: Processed data

description: KIRE
DOI: 10.6084/m9.figshare.21996971.v1
title: ProjecTILs human reference atlas of tumor-infiltrating and blood Dendritic Cells, version 1

description: ProjecTILs human reference atlas of blood and tumor-infiltrating Dendritic Cells (DC), generated by semi-supervised STACAS integration of 11 scRNA-seq datasets spanning 5 cancer types. The datasets were obtained from Gerhard et al. JEM, 2020, as well as Villani et al. Science, 2017, for the blood samples.<br> The dataset is available as a Seurat object, with subtype labels (functional cluster), sample of origin and several other measurement for each cell stored in the object metadata. The object can be loaded into an R session using the readRDS() function, and directly used as a reference atlas for ProjecTILs (Andreatta et al. Nat Comms 2021).
DOI: 10.6084/m9.figshare.5193256.v1
title: DATA_APPB.xlsx

description: APPB Submission: "Analysis of Subjects' Vulnerability in a Touch Screen Game Using Behavioral Metrics", Payam Parsinejad and Rifat Sipahi.<br>The Excel File contains the data recorded for 2 experiments (EXP-A and EXP-B). In EXP-A, 12 subjects, and in EXP-B, 12 subjects participated.<br>The following measurements are included in the file:Num. of Strokes, Num. of Assignments, ME, SE, MSD, and MSDur (raw data)<br>also for SVM Analysis:Total Energy, Delay, and Duration (raw and standardized data)<br>IRB 11-11-19 (Northeastern University, Boston, MA)
DOI: 10.6084/m9.figshare.7301246.v1
title: Wang et al., BG-2018-182, permafrost carbon along alpine stream on the Qinghai-Tibet Plateau

description: We used FT-ICRMS, radiocarbon, and optical methods to chemical characterize dissolved organic matter from Qinghai-Tibet Plateau along the alpine stream. <br>
DOI: 10.6084/m9.figshare.14916261.v3
title: CONSORT Checklist

description: CONSORT Checklist<br>
DOI: 10.6084/m9.figshare.2009586.v3
title: Spatio-temporal Series Teaching Data Subsets

description: This includes teaching data subsets that contains spatio-temporal data for the National Ecological Observatory Network's Harvard Forest and San Joaquin Experimental Range (SJER) field sites. CONTENTS:NEON-DS-Met-Time-Series-HARV.zip: Precipitation, temperature and other variables collected from a flux tower at the NEON Harvard Forest site. NOTE: these data are not collected from the NEON tower. NEON-DS-Site-Layout-Files-HARV.zip: A set of shapefiles for the Harvard Forest field site.NEON-DS-Landsat-NDVI-HARV-SJER.zip: 2011 NDVI data product provided by USGS cropped to the Harvard Forest and SJER field sites. NEON-DS-Airborne-RemoteSensing-HARV-SJER.zip: LiDAR data including a canopy height model, digital elevation model and digital surface model for the Harvard Forest and SJER field sites.
DOI: 10.6084/m9.figshare.28360214.v1
title: mountain_rain_2

description: model simulate rain
DOI: 10.6084/m9.figshare.28621929.v1
title: Supplementary Material from Evidence of widespread pollen limitation in diverse specialty crops on commercial farms

description: DataCode.zip
DOI: 10.17632/j6p89rdbnb
title: Factors Influencing Game-Based Learning in the Colombian Context

description: A mixed-methods study was conducted in a state high school in the Amazon region of Colombia with 64 tenth-graders who were learning English as a foreign language to identify the factors that affect learners’ learning outcomes when serious games are applied to vocabulary learning, with a specific focus on learning engagement. This study drew on both quantitative and qualitative data collected from surveys, interviews, and pre- and post-tests. The results showed that engagement and prior knowledge can positively predict GBL outcomes, while contextual factors and family condition had an adverse impact on GBL outcomes (Adjusted R² = 0.635, p < 0.01).. The results also indicated that a male student with a higher level of prior knowledge would be more likely to achieve good grades in GBL. Based on the study results, several implications are proposed for incorporating serious games for vocabulary learning in less-developed regions.
DOI: 10.17632/ny6ks93bnp
title: Data for: Influence of soil sample preparation on the quantification of NPK content through spectroscopy

description: The dataset is comprised by four MS Excel files, two for the clayey soil and two for sandy soil used in the study, according the spectroscopy technique used (Diffuse Reflectance on Visible and Near Infrared region and Attenuated Total Reflectance on Mid Infrared region). Each file is divided in six tabs, according the soil preparation procedure used in the study (sieved mesch and dry temperature). Each tab contains the total N content and P and K availability measured by wet-chemical analysis, related to the full spectra.
DOI: 10.17632/hgh8c99tnx
title: TUWien_LV_TestGrids

description: The dataset gives data of two real* and two theoretical low voltage grids in European grid type. The real grids include a typical rural (59% cable share, long feeders, radial structure, small transformer) and a typical urban (96% cable share, short feeders, radial structure, large transformer) low voltage grid. The theoretical grids consist of a distribution transformer and one feeder, one is realized with cable feeder and the other with overhead line feeder. Included are for each grid: • Topology of low voltage grid, • current ratings, lengths, and positive-sequence resistances, reactances and capacitances of line segments, • connection points of customers, • connection points of inductive devices, • distribution transformer rated apparent power, nominal primary and secondary voltages, and positive-sequence resistance and reactance, and • a solved load flow case. *The exact location of both real grids cannot be published due to data protection issues.
DOI: 10.17632/mdxd8wjzz2
title: Anticonvulsant Effect of Tapinanthus dodoneifolius (DC.) Danser

description: These data are both raw data and analyzed data (as appropriately labelled) obtained during the research titled 'Anti-convulsant Effect of Tapinanthus dodoneifolius (DC.) Danser: Involvement of Potassium Channel and GABA Pathway". The data were analyzed using different statistical analysis methods in the SPSS software, version 25. Data represents different seizure parameters including; Onset of seizure, duration of seizure, mortality, and quantal protections. The onset of seizure is the time from the point of administration of a convulsant agent to the time when seizure activity (such as automatism, clonic spasm, twtiching, tonic-clonic spasm etc) commences. The duration of seizure represents the time from seizure onset, to when seizure activities elapses. These two parameters were measured with the aid of a digital stop watch. Quantal protection refers the protection against seizure, it means the animal did not experience any noticeable seizure behavior. While mortality is simply as the name implies, death following administration of a convulsant agent during the periods of observation.
DOI: 10.6084/m9.figshare.19181087.v1
title: NMR dataset of Lupeol and Pristimerin

description: <sup>1</sup>H-, <sup>13</sup>C- and 2D-nuclear magnetic resonance (NMR) dataset of Lupeol and Pristimerin
DOI: 10.6084/m9.figshare.19753777.v1
title: Supplementary Material for: Risk Factor Profile in Youth, Genetic Risk and Adulthood Cognitive Function: The Cardiovascular Risk in Young Finns Study

description: Introduction: The role of risk factor profile in childhood and adolescence on adulthood cognitive function and whether it differs by genetic risk is still obscure. To bring this evidence, we determined cognitive domain specific youth risk factor profiles leveraging the childhood/adolescence data from the Cardiovascular Risk in Young Finns Study, and examined whether genetic propensity for poor cognitive function modifies the association between the risk profiles and adulthood cognitive function. Methods: From 1980, a population-based cohort of 3596 children (age 3-18 years) have been repeatedly followed-up for 31 years. Computerized cognitive test measuring: 1) memory and learning, 2) short-term working memory, 3) reaction time, and 4) information processing was performed for N=2026 participants (age 34-49 years). Cognitive domain specific youth risk profile scores including physical and environmental factors were assessed from the data collected at baseline and categorised into favourable, intermediate, and unfavourable. A polygenic risk score for poor cognitive function was categorised into low, intermediate, and high risk. Results: At all genetic risk levels, a favourable youth risk factor profile associated with better learning and memory, short-term working memory and information processing compared to unfavourable risk profile (e.g. β=0.501SD, 95%CI 0.043-0.959 for memory and learning among participants with high genetic risk). However, no significant interactions were observed between the youth risk factor profile score and genetic propensity for any cognitive domain (P&gt;0.299 for all). Conclusion: A favourable youth risk factor profile may be beneficial for cognitive function in adulthood irrespective of genetic propensity for poor cognitive function.
DOI: 10.6084/m9.figshare.24828954.v2
title: Code for statistical analyses

description: In this repository you will find a RScript.rar file including a README.md and metadata.xlsx file with the necessary information and code to reproduce the statistical analysis used for de Celis et al., 2024. These files will guide researchers through the Data and Scripts folders containing all the R code and files needed.
DOI: 10.6084/m9.figshare.27411363.v1
title: Minimal data set

description: The data serves as the minimum data result to support the experiment (our experimental result is the.pth file saved by the model, and the specific numerical results have been attached in the paper). CIFAR-100 is the main data set required for the experiment. As the ImageNet data set is overly large, only a link has been provided.
DOI: 10.6084/m9.figshare.8039939.v1
title: Supplementary Material for: Normal Growth despite Combined Pituitary Hormone Deficiency

description: <b><i>Background:</i></b> The paradox of normal growth despite a lack of growth hormone (GH) is an unexplained phenomenon described in some pathological (sellar, suprasellar, and hypothalamic disorders) and overgrowth syndromes. It has been suggested that the paradoxical growth is due to other GH variants, GH-like moieties, prolactin, insulin, insulin-like growth factors (IGFs), and unidentified serum factors or growth mechanisms. The objective of this study was to determine the mechanism underlying this normal growth without GH. <b><i>Case Description:</i></b> We describe here growth, hormonal, and genetic analyses for an adolescent boy with panhypopituitarism who achieved an adult height above his genetic potential. <b><i>Results:</i></b> Normal growth was observed despite low serum GH, IGF-I, IGF-II, IGF binding protein 3 (IGFBP-3) and acid labile subunit (ALS) concentrations, but the IGF-II/IGFBP-3 molar ratio was slightly high. Panhypopituitarism was associated with a heterozygous missense mutation of <i>HESX1</i>, with variable penetrance in heterozygous relatives. Exome analysis detected heterozygous missense mutations of various genes involved in intracellular signaling pathways. The growth-promoting activity of the patient’s serum was unable to induce AKT phosphorylation in the MCF-7 cell line. <b><i>Conclusion:</i></b> The high IGF-II/IGFBP-3 molar ratio was not the cause of the sustained high growth velocity, due to the low affinity of IGF-II for IGF type 1 receptor. The key finding was the <i>HESX1</i> mutation, as similar cases have been described before, suggesting a common mechanism for growth without GH. However, the variable penetrance of this variant in heterozygous relatives suggests that modifier genes or mechanisms involving combinations with mutations of other genes involved in intracellular signaling pathways might be responsible.
DOI: 10.6084/m9.figshare.9698438.v1
title: Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient

description: Here, you will find the main datasets used for analyses in: "Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient"<br><br>If you use any of this resource material, please cite:<br>Simonsen, A. K., Barrett, L. G., Thrall, P. H., & Prober, S. M. (2019). Novel model-based clustering reveals ecologically differentiated bacterial genomes across a large climate gradient. <i>Ecology Letters</i>. doi: 10.1111/ele.13389<br><br>https://onlinelibrary.wiley.com/doi/abs/10.1111/ele.13389<br><br>For further inquiries, please contact me anna.simonsen@anu.edu.au<br> <br>Abstract:<br>A pervasive challenge in microbial ecology is understanding the genetic level where ecological units can be differentiated. Ecological differentiation often occurs at fine genomic levels, yet it is unclear how to utilize ecological information to define ecotypes given the breadth of environmental variation among microbial taxa. Here, we present an analytical framework that infers clusters along genome-based microbial phylogenies according to shared environmental responses. The advantage of our approach is the ability to identify genomic clusters that best fit complex environmental information, whilst characterising cluster niches through model predictions. We apply our method to determine climate-associated ecotypes in populations of nitrogen-fixing symbionts using whole genomes, explicitly sampled to detect climate differentiation across a heterogeneous landscape. Although soil and plant-host characteristics strongly influence distribution patterns of inferred ecotypes, our flexible statistical method enabled us to identify climate-associated genomic clusters using environmental data, providing solid support for ecological specialization in soil symbionts. <br>
DOI: 10.6084/m9.figshare.21836169.v3
title: Apple leaf disease dataset

description: Alternaria blotch. Brown spot. Grey spot. Mosaic. Rust.
DOI: 10.6084/m9.figshare.8224025.v1
title: Cave_dwelling_spiders_Europe

description: Cave_description.csv= A dataset with all the information about the subterranean localities included in the CAWEB project. The R notation 'NA' is used for missing values.<br>Community_composition.csv= A dataset with the spider community composition (species presence/absence data) of each subterranean locality included in the CAWEB project. <br>A detailed description of these datasets is given in the Data Paper associated with this resource. When using these datasets, please cite it as follow:<br>Mammola S, Cardoso P, Angyal D, Balázs G, Blick T, Brustel H, Carter J, Ćurčić S, Danflous S, Dányi L, Déjean S, Deltshev C, Elverici M, Fernández J, Gasparo F, Komnenov M, Komposch C, Kováč L, Kunt KB, Mock A, Moldovan O, Naumova M, Pavlek M, Prieto CE, Ribera C, Rozwałka R, Růžička V, Vargovitsh RS, Zaenker S, Isaia M (2019): Continental data on cave-dwelling spider communities across Europe (Arachnida: Araneae). Biodiversity Data Journal, 7: e38492. https://doi.org/10.3897/BDJ.7.e38492<br>An example of macroecological analysis based on this dataset is given in:<br>Mammola S, Cardoso P, Angyal D, Balázs G, Blick T, Brustel H, Carter J, Ćurčić S, Danflous S, Dányi L, Déjean S, Deltshev C, Elverici M, Fernández J, Gasparo F, Komnenov M, Komposch C, Kováč L, Kunt KB, Mock A, Moldovan O, Naumova M, Pavlek M, Prieto CE, Ribera C, Rozwałka R, Růžička V, Vargovitsh RS, Zaenker S, Isaia M (2019): Local versus broad scale environmental drivers of continental beta diversity patterns in subterranean spider communities across Europe. Proceeding of the Royal Society B: Biological Sciences, https://doi.org/10.1098/rspb.2019.1579
DOI: 10.6084/m9.figshare.29135876.v2
title: The experimental data used in our study

description: In our research, the experimental data include the following types: Sentinel-2 MSI L1C data, Copernicus GLO-30 DEM data, and field soil sampling data. Among these, the Sentinel-2 MSI data is L1C level and can be accessed from the official website of the European Space Agency (ESA) at https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2. The Copernicus GLO-30 DEM data can be obtained from ESA's official platform at https://panda.copernicus.eu/panda. The field soil sampling data were collected by our research team and can be made available from the corresponding author upon reasonable request.
DOI: 10.6084/m9.figshare.7565351.v1
title: Now I See: Photovisualization to Support Agricultural Climate Adaptation

description: To remain viable, agricultural producers will need to adapt to changing climatic conditions in coming decades. Agricultural advisers play an important role in helping producers decide to adopt appropriate adaptation practices. Photovisualizations have the potential to complement currently utilized outreach and education strategies. This research uses a focus group approach to explore (1) whether photovisualizations can aid in decision-making about climate change adaptation, and (2) what characteristics of photovisualizations are most effective at conveying spatial aspects of adaptation practices. We found that photovisualizations generate rich discussions about ecological and economic effects as well as tradeoffs associated with climate adaptation practices. To have the greatest impact, photovisualizations should be used when producers are considering implementing high-cost or high-risk projects, when practices are likely to dramatically change the visual landscape, or when a practice is unfamiliar to a producer.
DOI: 10.6084/m9.figshare.23810616.v1
title: Data for the surface parameters for paper M E Dokukin <i>et al</i> 2015 <i>New J. Phys.</i> <b>17</b> 033019<b>DOI</b> 10.1088/1367-2630/17/3/033019

description: Data of the surface parameters for paper: "Emergence of fractal geometry on the surface of human cervical epithelial cells during progression towards cancer" by M E Dokukin, N V Guz, C D Woodworth and I Sokolov*Published 10 March 2015 • © 2015 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft<br>New Journal of Physics, Volume 17, March 2015 <br><b>Citation</b> M E Dokukin <i>et al</i> 2015 <i>New J. Phys.</i> <b>17</b> 033019<b>DOI</b> 10.1088/1367-2630/17/3/033019