cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23592393.v1
title: <strong>Blimp-1 and c-Maf regulate </strong><em><strong>Il10 and </strong></em><strong>negatively regulate common and unique proinflammatory gene networks in IL-12 plus IL-27-driven T helper-1 cells</strong>

description: <strong>Background: </strong>CD4+ Th1 cells producing IFN-g are required to eradicate intracellular pathogens, however if uncontrolled these cells can mediate immunopathology. The cytokine IL-10 is produced by multiple immune cells including Th1 cells during infection and regulates the immune response to minimise collateral host damage. In this study we aimed to elucidate the transcriptional network of genes controlling the expression of <em>Il10 </em>and proinflammatory cytokines, including <em>Ifng</em> in Th1 cells. <br> <strong>Methods: </strong>We have applied computational analysis of gene regulation derived from temporal profiling of gene expression clusters obtained from bulk RNA sequencing (RNA-Seq) of flow cytometry sorted CD4+ Th1 effector cells differentiated <em>in vitro </em>with IL-12 and IL-27 to produce <em>Ifng </em>and <em>Il10, </em>compared to control dirven-CD4+ T cells<em>. </em>Data was integrated with analysis of active genomic regions from these Th1 cells using an assay for transposase-accessible chromatin with sequencing (ATAC)-Sequencing, integrated with literature derived-Chromatin-immunoprecipitation (ChIP)-sequencing data and the RNA-Seq data, to elucidate the transcriptional network of genes controlling expression of <em>Il10 </em>and pro-inflammatory effector genes in Th1 cells. The co-dominant role for the transcription factors, <em>Prdm1 </em>(encoding Blimp-1) and <em>Maf </em>(encoding c-Maf)<em>, </em>in cytokine gene regulation in Th1 cells, was confirmed using T cells obtained from mice with T-cell specific deletion of these transcription factors. <br> <strong>Results: </strong>We show that the transcription factors Blimp-1 and c-Maf each have unique and common effects on cytokine gene regulation and not only co-operate to induce <em>Il10 </em>gene expression in IL-12 plus IL-27 differentiated Th1 cells, but additionally directly negatively regulate key proinflammatory cytokines including <em>Ifng</em>, thus providing mechanisms for reinforcement of regulated Th1 cell responses. <br> <strong>Conclusions: </strong>These data show that Blimp-1 and c-Maf positively and negatively regulate a network of both unique and common anti-inflammatory and pro-inflammatory genes to reinforce a Th1 response that will allow eradication of pathogens with minimum immunopathology
DOI: 10.6084/m9.figshare.25008662.v1
title: DuckeFungi_ASV_dist_ID_function_20220825.xlsx

description: High tree species diversity in tropical rain forests and rainfall seasonality contribute to large spatio-temporal variability in available resources for soil microbial communities. How the contribution of deterministic vs. stochastic processes to the assembly of these communities varies in space and time remains yet to be quantified so that soil microbial community responses to climate change may be projected.To address this knowledge gap, we characterised the spatio-temporal composition of soil fungal communities from the plot to the stand scales in a topographically homogeneous area in a tropical rain forest in central Amazonia. Doing so, we excluded obvious environmental gradients so as not to mask the detectability of potential mechanisms of community assembly linked to the intrinsic tree diversity of tropical rain forests. We then related fungal communities to seasonal patterns and spatial variability in geographic and soil characteristics.Soil fungal communities showed a greater turnover in space than in time. The relative contribution of stochastic and deterministic processes to community assembly was related to season, with stochastic processes, including potential dispersal limitation and ecological drift dominating in the rainy season, and deterministic processes, such as speciesselection dominating in the dry season. The results indicate that seasonality is likely to be related to the temporary accumulation of tree species-specific litter during the litterfall peak in the dry season, could define a deterministic environment that fades away after the start of the rainy season.Our study highlights the importance of spatial heterogeneity in the absence of environmental gradients and its relationship with seasonal patterns that modulate spatial heterogeneity and contribute to environmental determinism vs. stochasticity for fungal community assembly in tropical rain forests. This baseline may serve for assessing deviations in community patterns caused by changes in biotic interactions with above-ground vegetation, such as those resulting from shifts in taxonomical/functional composition of trees driven by climate change.
DOI: 10.6084/m9.figshare.5128255.v1
title: Supplementary Material for: Kidney Measures with Diabetes and Hypertension on Cardiovascular Disease: The Atherosclerosis Risk in Communities Study

description: <b><i>Background:</i></b> Whether the association of chronic kidney disease (CKD) with cardiovascular risk differs based on diabetes mellitus (DM) and hypertension (HTN) status remains unanswered. <b><i>Methods:</i></b> We investigated 11,050 participants from the Atherosclerosis Risk in Communities Study (fourth examination (1996-1998)) with follow-up for cardiovascular outcomes (coronary disease, heart failure and stroke) through 2009. Using the Cox regression models, we quantified cardiovascular risk associated with estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR) in individuals with and without DM and/or HTN and assessed their interactions. <b><i>Results:</i></b> Individuals with DM and HTN generally had higher cardiovascular risk relative to those without at all the levels of eGFR and ACR. Cardiovascular risk increased with lower eGFR and higher ACR regardless of DM and HTN status (e.g. adjusted hazards ratio (HR) for eGFR 30-44 vs. 90-104 ml/min/1.73 m<sup>2</sup>, 2.32 (95% CI, 1.66-3.26) in non-diabetics vs. 1.83 (1.25-2.67) in diabetics and 2.45 (2.20-5.01) in non-hypertensives vs. 1.51 (1.27-1.81) in hypertensives and corresponding adjusted HR for ACR 30-299 vs. &lt;10 mg/g, 1.70 (1.45-2.00) vs. 1.34 (1.10-1.64) and 1.42 (1.10-1.85) vs. 1.57 (1.36-1.81), respectively). Only the ACR-DM interaction reached significance, with a shallower relative risk gradient among diabetics than among non-diabetics (p = 0.02). Analysis of individual cardiovascular outcomes showed similar results. <b><i>Conclusion:</i></b> Although individuals with DM and HTN generally had higher cardiovascular risk relative to those without these complications, both low eGFR and high ACR were associated with cardiovascular diseases regardless of the presence or absence of DM and HTN. These findings reinforce the importance of CKD in cardiovascular outcomes.
DOI: 10.6084/m9.figshare.5915314.v2
title: Meningitis bacterial GWAS metadata

description: ENA accessions and sample metadata for pneumococcal samples used in 'Joint sequencing of human and pathogen genomes reveals the genetics underlying susceptibility to and severity of pneumococcal meningitis'.<br>Update: Version 2 removes ERR909292/ERS638983, which has been removed from the ENA due to being identified as being contaminated.
DOI: 10.4121/14151755.v1
title: Repository of fake news detection datasets

description: The dataset contains a list of twenty-seven freely available evaluation datasets for fake news detection analysed according to eleven main characteristics (i.e., news domain, application purpose, type of disinformation, language, size, news content, rating scale, spontaneity, media platform, availability, and extraction time)
DOI: 10.6084/m9.figshare.24257125.v1
title: Plant Expression Omnibus

description: Gene expression matrices and sample annotation files for 103 species of Archaeplastida. Data used to construct expression.plant.tools
DOI: 10.6084/m9.figshare.27242148.v1
title: Evolution of Key Factors Influencing Performance Across Phases in Junior Short Sprints

description: Sprint performance plays a crucial role in various sports. Short sprints vary in court size and competitive characteristics but are common in many sports. Although the relationship between age and muscle strength has been explored in short sprints, there is limited understanding of how various physical factors interact, particularly concerning differences in the acceleration phase. This study examined the relationship between sprint times at 0–2.5 m, 2.5–5 m, and 5–10 m intervals and various factors in junior athletes. Results indicated that sprint timesincreased with age, and is correlated with muscle strength and flexibility. Partial correlation analysis showed that faster times in the 0–2.5 m interval were associated with higher hip flexibility; in the 2.5–5 m interval, faster times were associated with higher core flexibility; and in the 5–10 m interval, a relationship with standing long jump performance was confirmed. Furthermore, lower fat-free body weight translated to higher performance. In the acceleration phase of 10 m, flexibility immediately after the start and the subsequent horizontal propulsive force is important factors that are strongly related to performance change in each interval. The study results illuminate the mechanism behind short sprints in junior athletes and emphasize the importance of daily training, considering the sprint distance required for each sport.
DOI: 10.6084/m9.figshare.29104904.v1
title: [<sup>11</sup>C]butyrate ([<sup>11</sup>C]BUTY)

description: Time List and Cassette Layout for the synthesis of Carbon-11 butyrate (BUTY)
DOI: 10.17632/2bk3wsghpp
title: Qiangjing Tablets Improve Spermatogenesis via Keap1/Nrf2 Pathway in Varicocele

description: Qiangjing Tablets Improve Spermatogenesis via Keap1/Nrf2 Pathway in Varicocele
DOI: 10.17632/9dv4gh72d7
title: Undergraduate Students' Perceptions and Experiences in Learning Statistics

description: This dataset is an online survey participated voluntarily by undergraduate students in 2021 at the University of Hargeisa. The main variables included were sociodemographic variables, students' perceptions of statistics, challenges faced by students in learning statistics, engagement with statistics by students, and finally (but not least) students' performance in statistics.
DOI: 10.17632/vn4ns5grn2
title: Effects of Human Resource Information Systems in traditional HRM Processes

description: In a fast-growing competitive environment, human resources play a dynamic source of sustainable development for the organization. Human resource system provides competitive benefits to support and train employees' skills that can boost organizational productivity. To reduce the labour-intensiveness of executive activities, organizations have introduced IT-oriented software application to modernize the internal management processes which will improve the human resource management systems. The widespread application of information system in HRM has led the HRM activities in many organizations and it has been shown that the information system enhanced the efficiency of HR managerial activities. Due to the adoption of IT in the HRM work process, the role of HR managers has increased and the use of HRIS leads to continuous improvement in knowledge of the employees. This is a theoretical paper which will analyze the adoption of a human resource information system (HRIS) in the organization and how it works effectively with the traditional HRM process into the transformed HRM system by edging the three-tier model and proposed a theoretical model for the article. The objective of this study is to examine the role of HRIS in traditional human resources process of the organization and analyze the effects of it’s on the three-tier structure of HRM and will be proposed a theoretical model based on literatures review. Finding is The human resource management is paramount for every company that needs a competitive edge over its rivals because in companies’ individuals create the design. The conceptual research paper subjected to examine the effects of HRIS on the three-tier model of HRM this study further leads to the four-tier pyramid of HRM which need to do a research study more in future.
DOI: 10.6084/m9.figshare.22226455.v1
title: Raw data for NM22061931A

description: Raw data for NM22061931A
DOI: 10.6084/m9.figshare.17976803.v1
title: A Causal Graph Convolutional Network considering Missing Values for Spatiotemporal Prediction

description: code and data
DOI: 10.6084/m9.figshare.22227337.v2
title: High-density EMG, IMU, Kinetic, and Kinematic Open-Source Dataset

description: This dataset contains high-density EMG and biomechanics data from 10 healthy human participants (five females) walking at a variety of walking speeds and ambulation conditions. Each condition was completed at three different walking speeds (slow, self-selected, and fast) with the exception of stand-to-walk, sit-to-stand-to-walk, and sidestepping, where the trials were completed at self-selected walking speed under two different conditions for the starting/stepping leg (either left or right). The dataset contains three trials per condition for a total of 27 trials during level ground walking and 54 trials during stairs (170mm step height, 410mm step depth) and ramps (5° and 15° ramps) walking. High-density EMG data contains 64 channels of bipolar EMG recordings from the tibialis anterior, peroneal, and the gastrocnemius lateralis and medialis muscles. Biomechanics data include the 3D positions of motion capture markers attached according to the modified Cleveland marker placement protocol, and ground reaction forces recorded with two force platforms. The data set contains both processed and segmented inverse kinematics (IK), inverse dynamics (ID), HD-EMG, IMU, and foot event time stamps, as well as raw markers' positions, forces from the force platforms, HD-EMG, and IMU data. Example scripts for how to compute IK and ID as well as how to access, interpolate, and plot data means and standard deviations are also provided, including a README text file on how to use them.
DOI: 10.17632/mrcf7f4tc2
title: Clinical Knowledge Graph

description: We have developed the Clinical Knowledge Graph (CKG), an open source platform currently comprised of more than 16 million nodes and 220 million relationships to represent relevant experimental data, public databases and the literature. The CKG incorporates the latest statistical and machine learning algorithms, drastically accelerating analysis and interpretation of typical proteomics workflows. We use several biomarker studies to illustrate how the CKG may support, enrich and accelerate clinical decision-making. Here, we are uploading a dump of CKG's database that can be used to easily create a Neo4 graph database harmonizing 9 ontologies, 26 relevant biomedical databases. Experimental studies included in the publication are also included as CKG reports. To get the full database up and running follow the installation instructions specified in CKG's documentation (https://github.com/MannLabs/CKG) and GitHub repository (https://github.com/MannLabs/CKG).
DOI: 10.17632/7rthcw52kj
title: Pectobacterium_carotovorum_21TX0081_GenAnnot

description: Pectobacterium carotovorum was isolated from a diseased onion plant in Texas. The whole genome sequence was annotated on Rapid Annotations using Subsystems Technology (RAST) server/SEED database. The raw dataset of genome annotation is reported here.
DOI: 10.6084/m9.figshare.14587581.v2
title: Supplementary_Table_2_Food_drink_nutrient_intake.xlsx

description: Supplementary Table 2. Dietary and lifestyle information of the analysed subjects. For continuous covariates the average and standard deviation are reported.
DOI: 10.6084/m9.figshare.26271721.v1
title: Data uploaded to Figshare.pdf

description: The dataset shows the major element compositions of chromite in chromitites and Re-Os concentrations and isotopes of chromitites and harzburgites from the Zambales ophiolite. They are used to reconstruct the geodynamic evolution of newly-initiated subduction zones and help to explain how different chromite deposits were generated during subduction initiation.
DOI: 10.6084/m9.figshare.12722246.v1
title: Bathymetry data for 5,000 lakes

description: Data supporting the publication: 'Geometric models overestimate lake depth due to imperfect slope measurement'
DOI: 10.6084/m9.figshare.26135107.v2
title: <b>The remaining categories of the DsDPM 66 dataset, including coal_miner, compressed_oxygen_self_rescuer, and mining_helmet</b>

description: In the field of coal mine safety monitoring and automation, high-quality and specialized datasets are crucial for the development and validation of artificial intelligence algorithms. Currently, there is no comprehensive benchmark dataset specifically for coal mine industrial scenarios, which significantly limits the research progress of AI algorithms in the coal mining industry. This study has constructed for the first time a benchmark dataset (DsDPM 66) specifically for coal mine heading faces, containing 105,096 images obtained from videos of 66 drilling operation scenes. The dataset has been meticulously annotated manually to suit computer vision tasks such as object detection and pose estimation. In addition, this study conducted extensive benchmarking experiments on this dataset, applying various advanced AI algorithms including but not limited to YOLOv8 and DETR. The experimental results show that the proposed dataset can effectively improve the accuracy of various object detection and pose estimation models in coal mines, filling the data gap in the coal mining field and providing valuable resources for the development of coal mine safety monitoring and automation technologies.
DOI: 10.6084/m9.figshare.28979105.v1
title: 1.2. Questionnaire Response (Underlying Data) - Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level

description: Questionnaire response as open data instrument research for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".
DOI: 10.6084/m9.figshare.7234985.v1
title: State of Open Data 2018

description: State of Open Data survey data 2018, run through a collaboration between Springer Nature, Wiley and Digital Science.
DOI: 10.17632/7n8wg2tpzv
title: Data for: Evaluation of mass transfer correlations applying to cryogenic distillation process with non-equilibrium model
DOI: 10.6084/m9.figshare.22551355.v1
title: MultipleMS MS Progression GWAS supporting material: Severity Scores of MS patients from Sweden

description: Meta-data for n=2751 MS cases from Sweden (European ancestry) that passed sample quality control and had at least one disability measure were included in the analysis. All participants gave written informed consent in accordance with approval from the relevant local ethical committees or institutional review boards. Patients with MS were ascertained and diagnosed by a neurologist locally according to established criteria. Neurological disability was measured using the EDSS29, an ordinal scale which incorporates a range of neurological functions relevant to MS. EDSS was scored by neurologist assessment. For each individual, the last recorded EDSS was converted to an ARMSS score by ranking disability against participants with the same age (±2 years) from the same cohort. The file includes the following metadata: SUBJECT_ID: Anonymized participant identifiers CENTER: The research center where the data was collected CHIP: The genotyping chip used SEX: Participant's sex AGE: Participant's age RINT_ARMSS: The RINT-ARMSS score, a measure of MS disease severity ANCESTRY: Participant's ancestry
DOI: 10.6084/m9.figshare.24126795.v1
title: DATA.dta

description: Socio-economic indicators of Russian regions, including in the field of health care (2012-2019)
DOI: 10.17632/rbkvwt7tws
title: Data for demonstrating the effect of Ostwald ripening

description: This is the data set for the paper 'Pore-scale observations of hydrogen trapping and migration in porous rock: demonstrating the effect of Ostwald ripening'
DOI: 10.6084/m9.figshare.4785652.v1
title: Supplementary Material for: Biomechanics of the Bat Limb Skeleton: Scaling, Material Properties and Mechanics

description: <em>Background/Aims:</em> Wing skeletons of bats are uniquely specialized for flight, reflecting both evolutionary history and the need to maintain structural integrity while generating aerodynamic forces. <i>Methods:</i> We analyzed the anatomical structure of bat wing skeletons in the context of scaling patterns relative to other mammals, material properties and the mechanical function of the wing bones during flight. <i>Results:</i> Compared with nonvolant mammals, the bones of the bat forelimb are elongated, even after correcting for shared phylogenetic history. Bats have consistently larger-diameter bones in the forelimb than do nonvolant mammals but significantly narrower hindlimb bones. Mineralization in the cortical bone of wings is lower than in the long bones of other adult mammals, with a proximodistal gradient of decreasing mineralization. The distal phalanges have only a small amount of mineralized tissue underlying the articular cartilage. Loads required to elicit a 10% length deflection in the wing bones of <i>Glossophaga soricina</i> varied approximately 50-fold along the wing and flexural stiffness nearly 200-fold. Commensurate with low mineralization and flexural stiffness, bat bones experience extraordinarily high bending strains during flight. <i>Conclusion:</i> Bat limb skeletons share features with other mammals and possess specialized characteristics, mostly related to the mechanical demands of flight.
DOI: 10.6084/m9.figshare.7592954.v1
title: The affinity of H2O2 on catalyst (Fig.S7)

description: Long-term photocatalytic evolution (right axis) and photocatalytic decomposition of H<sub>2</sub>O<sub>2</sub> (left axis) among GCN, ACN, KCN, and AKCN under visible light irradiation. The photocatalytic generation of H<sub>2</sub>O<sub>2</sub> was carried out under the visible-light-irradiated suspension (0.1 M phosphate buffer, pH 7) containing 10 vol% EtOH. The photocatalytic decomposition of H<sub>2</sub>O<sub>2</sub> (2 mM) on GCN, ACN, KCN and AKCN was carried out in the same experimental condition except the absence of EtOH.
DOI: 10.6084/m9.figshare.24551776.v1
title: tomoDRGN_rev_maps

description: Supplementary reviewer requested material for the manuscript: Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.