cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zf68jtfjg9
title: Copper-Only Superoxide Dismutase 6 (SOD6) regulates DNA-damage induced virulence in Candida albicans

description: Superoxide dismutase (SOD) serves as the first line of defense against reactive oxygen species (ROS), protecting organisms from oxidative stress. Recently, a fungal-specific copper-only SOD family was identified in Candida albicans (C. albicans), yet the function of SOD6, a member of this new family, remains unreported. To investigate the function of SOD6 in C. albicans, we constructed the sod6 Δ/Δ mutant strain using transient CRISPR/Cas9 technology. We then found that the sod6 Δ/Δ mutant strain significantly accumulated excessive intracellular and extracellular ROS and showed heightened sensitivity to exogenous oxidants, including H2O2. sod6 Δ/Δ mutant strain displayed increased sensitivity to zeocin, which indicated the strain of sod6 Δ/Δsignificant DNA damage. Additionally, the sod6 Δ/Δ mutant strain exhibited significant decrease in virulence in both Galleria mellonella and murine models of C. albicans infection. Collectively these findings suggest that SOD6 facilitates the DNA damage related virulence of C. albicans, positioning it.
DOI: 10.17632/9bbxp29nm4
title: ALD Automotive - Financial Statements

description: ALD Automotive is the largest independent lessor of cars in Europe after the recent acquisition of the Dutch LeasePlan. They promise shareholders a ~10% dividend yield at a 50% payout, together with 6% annual fleet growth. This hits my mental hurdle of 15% annual return and for that reason I believe it is a good place to park some cash in an environment in which many shares have run ahead of their still lingering fundamentals.

Other than the limited free float, the opportunity exists because car lessors are currently overearning due to historically strong residual values. Income from Used Car Sales has been elevated since 2021. To complicate things further, ALD changed their depreciation assumptions for their existing fleet from Q2 2022, because carrying values were already at or below fair value. This means that the excess earnings temporarily move from Used Car Sales to Leasing Contract Margin. Disclosure from ALD on this aspect is sufficient to calculate normalized earnings. Unfortunately the same cannot be said for Leaseplan, so my calculation of normalized earnings is embarrassingly inaccurate.

At closing, the CET1 ratio is expected to be 12% which warrants a rating upgrade from BBB to A- by Fitch and S&P. Funding is diverse and consists of Société Generale funding, deposits, bonds/loans and securitization. Liabilities roughly match the short duration of their lease book (average ~2 years). The rising interest rates have so far been more than offset by rising lease rates. The big question is whether this will change when residual values have normalized. If elevated RVs are the result of a supply / demand imbalance, we either need a supply catchup, which might take a few years given we still need to catch up on 2 years of undersupply. A demand slowdown is of course in the cards as demand correlates with European economic activity. European politicians have been working hard for the last 20 years to slow down their economy in every way imaginable.

So in short, EPS will normalize from the 2.75 EUR that ALD earned in 2022 as a stand-alone entity. This normalization will probably take 2-3 years to work out. In return we get a bunch of synergies coming in over the next 3 years. My inaccurate model tells me we end up at a ~5-6x P/E, with a high-teens ROE. That’s enough to afford a 10% dividend and 6% fleet growth and still leave some change to fund vanity projects or to deleverage. I believe the 10% dividend is sustainable and therefore provides some downside protection in case we all freak out like it's 2022 and stocks go down.

The main risk I see is that the inflationary environment makes the C/I ratio worse than targeted. This is probably the part of the math that I have the least confidence in. Residual values also need to be watched. Europe does not have an equivalent to the Manheim index, so this is a little harder to track, but for 2023 RVs continue to be strong.
DOI: 10.6084/m9.figshare.16908466.v1
title: raw data

description: Here is the raw data in the manuscript “Flexible and stretchable polymer optical fibers for chronic brain and vagus nerve optogenetic stimulations in free-behaving animals”. This manuscript contains 6 figures and 13 additional files.
DOI: 10.6084/m9.figshare.21268611.v1
title: Correlation between musculoskeletal pain and stress levels in teachers during the remote teaching period of the COVID-19 pandemic

description: Abstract Introduction Remote teaching during the COVID-19 pandemic caused teachers to work under adverse conditions and sit in front of a computer rather than stand, which can lead to musculoskeletal pain and stress in this population. Objective To observe the prevalence of musculoskeletal pain and its correlation with stress levels in teachers during the remote teaching period of the COVID-19 pandemic. Methods A cross-sectional study carried out in elementary and high schools in the city of São José do Belmonte, Pernambuco state (PE). Sixty teachers of both sexes aged 18 years and older were evaluated. The Nordic Questionnaire of Musculoskeletal Symptoms (NQMS) was used to assess musculoskeletal pain, the Visual Analogue Scale to quantify pain intensity and the Maslach Burnout Inventory to identify symptoms of stress and burnout. Results Seventy five percent (n = 45) of the teachers reported musculoskeletal pain, with a higher prevalence in the lumbar spine 68.3% (n = 41), followed by the cervical spine 45.0% (n = 27),thoracic spine, wrists and hands, both with 41.7% (n = 25). A positive correlation was observed between the presence of musculoskeletal pain and high levels of occupational stress (p = 0.036). Conclusion A high prevalence of musculoskeletal pain was identified in teachers during the remote teaching period. The lumbar, cervical and thoracic spine, wrists and hands exhibited the highest pain prevalence. Teachers who experienced musculoskeletal pain had higher stress levels and there was a positive correlation between musculoskeletal pain intensity and high occupational stress levels.
DOI: 10.6084/m9.figshare.25087967.v1
title: FOP Fathers Data

description: Cross-sectional survey of 44 mothers and fathers of preschool-aged children assessing parent feeding practices and perception of household responsibilities.
DOI: 10.6084/m9.figshare.19160885.v1
title: Averaged classification performance of the XGBoost classifier with handcraft features

description: This excel file contained averaged classification performance of the XGBoost classifier with handcraft features
DOI: 10.17632/t2yk5kt3bw
title: Data and code for: Huh et al. (2021). A structural equation modeling approach to meta-analytic mediation analysis using individual participant data

description: This data repository contains the companion R code and data set for: Huh, D., Li, X., Zhou, Z., Walters, S. T., Baldwin, S. A., Tan, Z., Larimer, M. E., & Mun, E.-Y. (2021). A structural equation modeling approach to meta-analytic mediation analysis using individual participant data: Testing protective behavioral strategies as a mediator of brief motivational intervention effects on alcohol-related problems. Prevention Science. https://doi.org/10.1007/s11121-021-01318-4
DOI: 10.6084/m9.figshare.12613109.v1
title: Metadata record for: A dataset of clinically recorded radar vital signs with synchronised reference sensor signals

description: This dataset contains key characteristics about the data described in the Data Descriptor A dataset of clinically recorded radar vital signs with synchronised reference sensor signals. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.26967733.v1
title: Molecular docking and MD simulation approach to identify potential phytochemical lead molecule against triple negative breast cancer - Supplementary Table.docx

description: AbstractBackground: Triple-negative breast cancers are defined as tumors that lack expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). It exhibits unique clinical and pathologic features, is highly aggressive and has relatively poor prognosis and poor clinical outcome.Objective: Identify a novel drug target protein against Triple-negative breast cancer (TNBC) and also identify potential phytochemical lead molecule against the novel drug target.Methods: In the study, we retrieved TNBC samples from NGS and microarray datasets from GEO database and employed a combination of differential gene expression studies, protein-protein interaction analysis and network topology investigation to identify the target protein. Using molecular docking and molecular dynamics simulation studies followed by MM-GBSA the potential lead molecule was identified.Result: Androgen receptor (AR) was found to be the target protein and 2-hydroxynaringenin was discovered to be a possible phytochemical lead molecule to combat TNBC.Upregulated genes with LogFC &gt; 1.25 and P-value &lt; 0.05 from TNBC gene expression dataset were given to STRING tool to investigate the network toplology and Androgen receptor (AR) was found to be an appropriate hub gene in the protein-protein interaction network. Phytochemicals that inhibit breast cancer were retrieved from PubChem database and virtual screening was done using PyRx against the AR protein. Based on Lipinski's rule and ADMET properties, molecular interaction studies were analysed by induced fit docking, wherein significant binding interaction was displayed by 2-hydroxynaringenin. Molecular dynamics studies and MM-GBSA of AR and 2-hydroxynaringenin complex exhibited strong and stable interactions.
DOI: 10.6084/m9.figshare.29116007.v1
title: Data for "Research on quantitative evaluation of China's Intelligent Construction Policy (CICP) based on the Integration of PMC index model and multi-dimensional analytical framework"

description: Datasets for the paper "Research on quantitative evaluation of China's Intelligent Construction Policy (CICP) based on the Integration of PMC index model and multi-dimensional analytical framework". This research constructed an advanced multi-dimensional analytical framework that applies text mining and data visualization analysis techniques to rigorously analysis the CICP. The framework covered evaluation, discussion, and optimization recommendations for CICP, and be executed according to five parts of advanced work, including the policy evaluation based on the PMC Index Model and the dynamic analysis of policy evolution, status, and trend, offering data-driven recommendations for the optimization of CICP.
DOI: 10.6084/m9.figshare.5788863.v1
title: Development and validation of a facial expression database based on the dimensional and categorical model of emotions

description: The present study describes the development and validation of a facial expression database comprising five different horizontal face angles in dynamic and static presentations. The database includes twelve expression types portrayed by eight Japanese models. This database was inspired by the dimensional and categorical model of emotions: surprise, fear, sadness, anger with open mouth, anger with closed mouth, disgust with open mouth, disgust with closed mouth, excitement, happiness, relaxation, sleepiness, and neutral (static only). The expressions were validated using emotion classification and Affect Grid rating tasks [Russell, Weiss, & Mendelsohn, 1989. Affect Grid: A single-item scale of pleasure and arousal. <i>Journal of Personality and Social Psychology</i>, <i>57</i>(3), 493–502]. The results indicate that most of the expressions were recognised as the intended emotions and could systematically represent affective valence and arousal. Furthermore, face angle and facial motion information influenced emotion classification and valence and arousal ratings. Our database will be available online at the following URL. https://www.dh.aist.go.jp/database/face2017/.
DOI: 10.60893/figshare.sss.26367001.v1
title: survey

description: N0195501
DOI: 10.6084/m9.figshare.12950321.v1
title: Fig. 2 Gaussian raw data

description: Vessel and Glia z-stacks taken concurrently. 1um z slices.
DOI: 10.6084/m9.figshare.17157845.v1
title: FallAction_dataset.zip

description: FallAction Dataset for Uncertain Action Recognition<br>Nitika Nigam, Deepali Verma, and Tanima DuttaIndian Institute of Technology (BHU), India.<br>Overview:FallAction is an uncertain action recognition dataset of realistic people falling videoscollected from YouTube. The dataset comprises 15 fall action categories, and eachcategory contains 50-100 videos. FallAction gives the diversity in terms of differentfalling actions and with the presence of noises, such as, variations in camera motions,person appearance, viewpoint, cluttered background, illumination conditions, etc. It is achallenging dataset for uncertain action recognition. Most action recognition datasetsare based on certain actions; on the contrary, FallAction aims to encourage furtherresearch into uncertain action recognition by learning and exploring new realisticuncertain fall action categories.Structure for FallAction Dataset● Data associated with each fall action category is stored in separate directories.● Each directory comprises *.mp4 files for videos.● The directory is arranged in the following structure:FallAction_datasets├── Butt_fall├── Drunk_fall├── Elderly_fall├── Escalator_fall├── Faint_fall├── False_start_fall├── Handstand_fall├── High_Heel_Break_fall├── Karate_fall├── Parkour_fall├── Pool_fall├── Side_fall├── Surfing_fall├── Trust_fall└── Yoga_fall
DOI: 10.6084/m9.figshare.19625411.v1
title: Additional file 2 of One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data

description: Additional file 2 Supplementary Tables S1-S9.
DOI: 10.6084/m9.figshare.27215157.v1
title: Relaxation of li-ion batteries after lithium plating

description: This datafile describes the chemical and morphological changes during the relaxation process of li-ion batteries after lithium plating abuse.
DOI: 10.6084/m9.figshare.29206477
title: Additional file 8 of Antero-posterior patterning in the brittle star Amphipholis squamata and the evolution of echinoderm body plans

description: Additional file 8: Alignments of nkx2.1 sequence variants. Alignments of 18 nkx2.1 full length sequence variants.
DOI: 10.25381/cput.23659749.v2
title: Occurrence and ecotoxicological effects of microplastics in the Diep river, Milnerton, Cape Town

description:  Ethical Reference Number: 30085741/05/2020 <br>
  
  
Rivers play an important role in the water cycle and serve as habitats for various species in aquatic ecosystems. They also serve as a source of microplastic litter in the ocean. Microplastics are ubiquitous, with the potential for accumulation in the environment. Improperly disposed of plastics often end up in freshwater ecosystems. The Diep River runs through the City of Cape Town via neighbourhoods with different land use types into the ocean. In this study, the occurrence and ecotoxicological effects of microplastics in the Diep River and some physicochemical parameters of the river water were assessed. Water and sediment samples were collected from five sites on the Diep River and analysed for microplastics. On the field, a 100 L sample was filtered through a 250 µm mesh and 20 L was collected for processing in the laboratory. The 20 L sample was filtered through a 20 µm mesh in the laboratory. The microplastics extracted were characterized using microscopy and Fourier-transform infrared spectroscopy (FTIR). Surface water samples were evaluated to determine the ecological risk, effects of microplastic standards on the river, potential climate change effects of microplastics using three bioassays and potential for genetic toxicity. Three test organisms, each representing a trophic level, were exposed to the river water samples, river water samples with microplastics, and distilled water with microplastic at variable temperatures. The organisms used were <em>Raphidocelis subcapitata</em> (microalgae), <em>Daphnia magna</em> (crustacean), and <em>Tetrahymena thermophila</em> (protozoan). The AMES test was used to test for potential mutagenicity. There were significant relationships between microplastics and physicochemical parameters. Fibres and polyethylene were the most predominant microplastics particles identified in water and sediment samples (under microscopy and FTIR, respectively). Tourist and recreational areas had higher microplastics burden relative to non-tourist areas. There were significant differences shown in spatial and temporal microplastic distribution based on the proximity to urban/industrial areas and wastewater treatment plants. Different toxicity levels were shown over the four seasons in environmental water, and growth inhibition occurred in environmental samples with microplastics. The climate change effect studies revealed that microalgal and crustacean growth were enhanced in response to temperature rise in the presence of microplastics. A mutagenic response was observed in the investigated Diep River water samples. This study provided information for management strategies in policy development and implementation, protection, and other mitigation strategies about the microplastic burden of the Diep River. The ecotoxicological approach used can add value to hazard and risk assessment of the river and contribute to the management of water quality along the Diep River.
DOI: 10.6084/m9.figshare.23770569.v1
title: Characterization of the iPhone LiDAR Sensor for Vibration Measurement and Modal Analysis - Dataset

description: Introduction <br> This dataset contains multiple test results conducted for the paper "Characterization of the iPhone LiDAR Sensor for Vibration Measurement and Modal Analysis". <br> Data Information <br> This dataset consists of displacement readings collected by a laser displacement transducer (L) and/or a light detection and ranging (LiDAR) sensor from an Apple iPhone 13 Pro. The LiDAR data was collected using two different apps: Stray Scanner (SS) returns full depth maps and PhyPhox collects depth at a specific coordinate. Two different structures were used as targets for the tests: a stiff plate, simulating rigid body movement, and a steel cantilever with four expected mode shapes within a low (&gt; 60 Hz) frequency range. Tests consist of the targets being static, oscillating harmonically in a single frequency, or randomly as a response of a pre-defined spectrum. The oscillation tests were carried out with the aid of an air-bearing shaker. <br> Further details <br> Additional test details can be found on the README files along with the dataset. A MATLAB function to load specific test cases is also provided.
DOI: 10.6084/m9.figshare.24768555.v1
title: AmpliconClassifier version 0.4.14 classification of TCGA results from Kim, et al., 2020

description: The results are reported in "Coordinated inheritance of extrachromosomal DNA species in human cancer cells - PMC (nih.gov)"
DOI: 10.6084/m9.figshare.29083511.v1
title: Gridded data of embodied carbon from timber

description: 5,538,063 records are weight in urban building ECE of timber in two urban agglomerations from 2000 to 2020 at 500×500m grid scale.
DOI: 10.17632/6dtxb5zvnj
title: Subsets of extraocular motoneurons produce kinematically distinct saccades during hunting and exploration

description: Data and code to make figure panels for Dowell et al. 2024 https://doi.org/10.1101/2024.08.12.607184
DOI: 10.25452/figshare.plus.20492835.v1
title: THINGS-data: fMRI Single Trial Responses (table format)

description: Single trial responses of the fMRI data as part of the THINGS-data collection. `sub-{subject}_ResponseData.h5` contains voxel-wise responses to each presented image. `sub-{subject}_StimulusMetadata.csv` contains additional data about each stimulus, e.g. which session or run it was presented in, or which THINGS category it belongs to. `sub-{subject}_VoxelMetadata.csv` contains additional information about each voxel, e.g. noise ceilings or membership to regions of interest. Catch trials have been excluded.
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Part of THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior.
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See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.6161151
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DOI: 10.17632/2xjfgk45bf
title: Fundamentals News, Global Liquidity and Macroprudential Policy

description: Codes
DOI: 10.6084/m9.figshare.17869355.v1
title: Seurat object for the spatial transcriptomic data of sample HCM1225D

description: Seurat object for the spatial transcriptomic data of sample HCM1225D
DOI: 10.6084/m9.figshare.21301212.v3
title: Geographic Data Science with R

description: Data files for the examples in the book <em>Geographic Data Science in R: Visualizing and Analyzing Environmental Change</em> by Michael C. Wimberly.
DOI: 10.6084/m9.figshare.28429478.v1
title: Data for the DMC-BrainMap manuscript

description: This repository contains the data of the DMC-BrainMap manuscript. The data is structured in folders according to the manuscripts' figures. In each folder a <i>plotting_notes.json </i>file can be found specifying the information used to create the initial plots using the DMC-BrainMap software. Each folder contains subfolders containing the data from the respective mice as described in Table 1 of the manuscript. Images are found in the <i>rgb/binary/single_channel </i>folder. Registration data in the <i>sharpy_track </i>folder. Segmentation data in the <i>segmentation </i>folder. The results data in the <i>results </i>folder.Data for Fig S1-S3 is located in the Fig 3 folder and data for the Fig S4 in the Fig 7 folder. Gene expression data for Fig 7/Fig S4 is provided. Neuropixel data for Fig 4 is provided.
DOI: 10.17632/mm3xxgy6rm
title: Sonidegib improved quality of life in patients with advanced basal cell carcinoma: results from the phase 2 Basal Cell Carcinoma Outcomes with LDE225 Treatment trial through 73 weeks

description: Patients with locally advanced basal cell carcinoma (laBCC) or metastatic BCC (mBCC) require treatment options other than surgery and radiation, which can produce distressing scarring and disfigurement. Sonidegib is a Hedgehog pathway inhibitor approved to treat advanced BCC (aBCC; Switzerland and Australia) and laBCC (US and EU). Quality of life (QoL) assessments in patients with laBCC and mBCC were conducted during the Basal Cell Carcinoma Outcomes with LDE225 Treatment (BOLT) trial for sonidegib. BOLT was a multicenter, randomized, double-blind, phase 2 study evaluating efficacy and safety of sonidegib (200 and 800 mg) in patients with laBCC or mBCC not amenable to surgery or radiation. To asses QoL, patients completed the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (QLQ-C30) and associated Head and Neck Cancer Module 35 (H&N35). Mean changes from baseline over time in QLQ-C30 and H&N35 subscales most applicable to aBCC were assessed. Higher functioning subscale scores indicated positive change, while higher symptom subscale scores indicated negative change. Sixty-six patients with laBCC and 13 with mBCC received sonidegib 200 mg daily. Overall, 88.7% (QLQ-C30) and 90.0% (H&N35) of all patients had baseline and ≥1 postbaseline questionnaire assessment. Mean changes from baseline scores for QLQ-C30 and H&N35 subscales were generally modest, and positive and negative fluctuations appeared evenly distributed for most subscales. Treatment with sonidegib 200 mg daily appeared to maintain or improve QoL from baseline in most patients with aBCC through 73 weeks.
DOI: 10.6084/m9.figshare.12376508.v1
title: Multi_Omics_Seasonal.RData

description: Multiomics data of host and microbial samples.