cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5890870.v1
title: Supplementary Material for: The LncRNA EPEL Promotes Lung Cancer Cell Proliferation Through E2F Target Activation

description: <b><i>Background/Aims:</i></b> Recent studies have revealed that many long non-coding RNAs (lncRNAs) play oncogenic or tumor-suppressive roles in various cancers. Lung cancer is the leading cause of cancer-related death worldwide, and many lung cancer patients frequently relapse after surgery, even those in the early stages. However, the oncogenic or tumor-suppressive roles and clinical implications of lncRNAs in lung cancer have not been fully elucidated. <b><i>Methods:</i></b> The association between an E2F-mediated cell proliferation enhancing lncRNA (EPEL) expression and lung cancer patient survival was accessed using public microarray data with clinical information. Cancer-related phenotypes were analyzed by the siRNA knockdown of EPEL in two lung cancer cell lines. Gene set analysis of gene expression data were performed to identify pathways regulated by EPEL. RNA immunoprecipitation, RT-qPCR, and ChIP assays were performed to explore the functions of selected target genes regulated by EPEL. <b><i>Results:</i></b> EPEL, known as LOC90768 and MGC45800, was associated with the relapse and survival of lung cancer patients and promoted lung cancer cell proliferation through the activation of E2F target genes. EPEL knockdown specifically down-regulated the expression of cell cycle-related E2F target genes, including Cyclin B1 (CCNB1), in lung cancer cells but not that of apoptosis- or metabolism-related E2F target genes. EPEL interacted with E2F1 and regulated the expression of the E2F target genes by changing the binding efficiency of E2F1 to the E2F target promoters. Moreover, the expression levels of EPEL and CCNB1 both alone and in combination were robust prognostic markers for lung cancer. <b><i>Conclusions:</i></b> Considering its specific effects on cell cycle-related E2F target genes and its significant association with the prognosis of lung cancer patients, we suggest that the transcriptional regulation of EPEL through E2F target genes is potentially a target for the development of novel therapeutic strategies for lung cancer patients.
DOI: 10.6084/m9.figshare.17091653.v4
title: A 30-m resolution distribution map of maize for China based on Landsat and Sentinel images

description: As the second largest producer of maize, China contributes 23% of global maize production and plays an important role in guaranteeing maize markets stability. In spite of its importance, there is no 30 m spatial resolution distribution map of maize for all of China. This study used a time-weighted dynamic time warping method to identify planting areas of maize by comparing the similarity of time series of a satellite-based vegetation index at each pixel with a standard time series derived from known maize fields and mapped maize distribution from 2016 to 2020 over 22 provinces accounting for more than 99% of the maize planting area in China. Based on 18800 field-surveyed pixels at 30-meter spatial resolution, the distribution map yields 76.15% and 81.59% of producer’s and user’s accuracies averaged over the entire investigated provinces, respectively. Municipality- and county-level census data also show a good performance in reproducing the spatial distribution of maize. This study provides an approach to mapping maize over large areas based on a small volume of field survey data.<br>classification system:1: maize0: non-maize<br>Ruoque Shen, Jie Dong, Wenping Yuan, Wei Han, Tao Ye, Wenzhi Zhao, "A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images", <i>Journal of Remote Sensing</i>, vol. 2022, Article ID 9846712, 12 pages, 2022. https://doi.org/10.34133/2022/9846712
DOI: 10.6084/m9.figshare.14698794.v1
title: Dataset for shifting long term N impacts on plant productivity

description: Although some long-term studies have been conducted to quantify nitrogen (N) impacts on plant productivity, uncertainties remain regarding whether these impacts change over time and the underlying mechanisms. By overlooking this, we may over- or under-estimate N impacts on terrestrial ecosystems. Our goal was to determine whether N impacts on plant productivity change in the long term and the controls. We synthesized 63 N addition studies with duration ≥ 8 years in natural terrestrial ecosystems. Our results show shifting temporal N impacts on plant productivity in terrestrial ecosystems, and the direction of this change varies with biome type (forests: decrease; grasslands and shrublands: increase). The temporal pattern of N impacts is mostly regulated by mean annual precipitation (MAP), mean annual temperature (MAT), and initial soil pH, which account for 24%, 19%, and 19% of the variation, respectively. Our findings indicate that temporally dynamic impacts of long-term N addition on plant productivity is generally observed among studies in terrestrial ecosystems, and climate variables shape the temporal pattern of long-term N impacts on plant productivity. Therefore, not only the magnitude of N impacts on plant productivity, but also their temporal dynamics, should be considered in future experimental and model research.
DOI: 10.6084/m9.figshare.5943235.v1
title: Supplementary Material for: Dermoscopy Improves the Diagnostic Accuracy of Melanomas Clinically Resembling Seborrheic Keratosis: Cross-Sectional Study of the Ability to Detect Seborrheic Keratosis-Like Melanomas by a Group of Dermatologists with Varying Degrees of Experience

description: <b><i>Background:</i></b> Malignant melanomas mimicking seborrheic keratosis (SK-like MMs) carry the risk of delayed diagnosis and inadequate treatment. The value of dermoscopy to improve the correct detection of these mimickers has not been previously studied. <b><i>Objective:</i></b> To evaluate the diagnostic accuracy of clinically SK-like MMs with and without dermoscopy. <b><i>Methods:</i></b> Clinical and dermoscopic images of histopathologically proven SK-like MMs (<i>n</i> = 134) intermingled with other melanomas and benign tumors were randomly presented to clinicians with different levels of experience, blinded to the diagnosis and goal of the study. Each participant classified each lesion as melanoma or benign tumor. The clinical and clinical-dermoscopic diagnostic accuracies were measured separately. <b><i>Results:</i></b> Overall, 54 participants with a mean clinical experience of 15.8 years (SD 11.8) evaluated 231 tumors. Almost 40% of SK-like melanomas were clinically misclassified as benign tumor. Dermoscopy improved diagnostic accuracy for all participants, independently of experience, from 60.9 to 68.1% (<i>p</i> &lt; 0.001), mostly due to a significant increase in the sensitivity (clinical 61.9% vs. dermoscopic 74.5%) (<i>p</i> &lt; 0.001). Dermoscopy did not significantly affect specificity among the experienced participants (≥6 years of experience) compared to clinical examination (61.1 vs. 59.6%, respectively); in contrast, dermoscopy was associated with a decrease in specificity compared to clinical diagnosis among novice participants (&lt; 6 years) (45.6 vs. 61.1%, respectively; <i>p</i> = 0.02). <b><i>Conclusion:</i></b> Melanomas can be clinically indistinguishable from SKs despite being evaluated by expert dermatologists. Dermoscopy, even in nonexpert hands, significantly improves their recognition.
DOI: 10.25375/uct.12382706.v5
title: MOSAIC: A model to assess the cost-effectiveness of ICU strategies for the South African COVID-19 response

description: As the COVID-19 pandemic progresses, the demands on the health care system will intensify and will result in critical shortages of resources (hospital beds, intensive care unit (ICU) beds, ventilators, medical workforce), particularly in the public sector. In such a context, it becomes imperative that resources are used in the most humane ways possible; and that decisions about resource allocation are made carefully and with compassion. While there are a number of key resource allocation decisions that need to be made in the response to COVID-19, this rapid economic evaluation responds to the question: What is the cost-effectiveness of ICU care versus treatment in general ward in supporting severe COVID-19 cases? Given the emergent nature of COVID-19 and the huge uncertainty in key parameters, a simple excel-based model is provided. This simplicity is designed to facilitate understanding. In addition, the framework allows for parameters to be varied and ultimately updated as sufficient local data become available.
DOI: 10.6084/m9.figshare.14208002.v2
title: Python Plotting Scripts

description: Python Plotting Scripts<br>
DOI: 10.6084/m9.figshare.21341232.v1
title: Cognitive load and deception detection

description: Experimental data (different intensities of cognitive load and its' influence on the working memory effectiveness in N-back task).
DOI: 10.6084/m9.figshare.3514028.v1
title: Appendix D. A figure showing the distribution of elephants across the greater Serengeti ecosystem.

description: A figure showing the distribution of elephants across the greater Serengeti ecosystem.
DOI: 10.6084/m9.figshare.4630429.v3
title: Dataset - Piura

description: Circulating Dengue virus serotypes and clinical characteristics in patients with Acute Febrile Illness from Piura, Peru
DOI: 10.17632/8xvf5tdb2b
title: Data Set on The Effect of Project-Based Learning Model to Critical Thinking Skills (Revised)

description: This data is the result of a revision of the previous data publication on tittle "Data Set on The Effect of Project-Based Learning Model to Critical Thinking Skills".  Revision is given by adding the url address to the analysis data source on page 1 and page 2. This data were obtained from quantitative study results about project-based learning model effectiveness to students critical thinking by type of schools and quasi experimental design from Google scholar and Scopus database between 2012-2022.
DOI: 10.17632/zf337gz8pr
title: Propionibacteria as promising tools for the production of pro-bioactive scotta: a proof-of-concept study - Supplementary table 4

description: Supplementary Table 4. Metabolomic dataset resulting from the untargeted UHPLC-HRMS analysis containing all the annotated mass features and key putatively identified metabolites, together with their identification score, relative abundance value, and composite isotopic mass spectrum.
DOI: 10.6084/m9.figshare.28262666.v1
title: <b>Strain Localization in Granite via Optical Fiber Sensing: Effects of Crack Heterogeneity and Stress Relaxation</b>

description: Rocks in the upper crust are naturally heterogeneous, which affects how they become damaged and eventually fail. As failure nears, deformation becomes more focused in certain areas, a process known as strain localization, which often occurs before the rock breaks completely. This study used distributed optical fiber sensing (DFOS) technology to map strain patterns and measure strain localization in rocks during multi-stage stress relaxation tests. To increase microstructural heterogeneity, we applied thermal treatment at 500°C. Our results show that greater microstructural heterogeneity reduces strain localization, delays failure, and increases the rock's peak strength, challenging the common view that more initial damage lowers strength. Additionally, the strain changes observed during relaxation demonstrate the effectiveness of DFOS in detecting fine-scale strain, revealing that relaxation further increases strain and strain localization.
DOI: 10.6084/m9.figshare.28722212.v1
title: SWB_DATA.csv

description: Resilience and subjective well-being are as important during adolescences as they are in other stages of life. The study explored the mediating role of anxiety and moderating role of school climate in the relationship between resilience and subjective well-being among China adolescents.
DOI: 10.6084/m9.figshare.28851920.v1
title: UCSC genome browser files

description: UV-crosslinking data (CRAC) for the T6SS immunity protein RhsFI from EHEC.
DOI: 10.11583/dtu.14414096.v1
title: New European Wind Atlas: Mesoscale Atlas

description: The mesoscale part of the New European Wind Atlas (NEWA) was created from WRF model simulations for all of Europe at a grid spacing of 3 km x 3 km, initially covering the 30 years from 1989 to 2018. The WRF model simulations (using WRF V3.8.1) were done in 10 partly overlapping domains using ERA5 reanalysis and OSTIA sea surface temperatures. We used many ensemble members to determine the most suitable configuration for the final production run. The model configuration, production and evaluation of the results against observations are described in Hahmann et al. (2020) and Dörenkämper et al. (2020).<br>Data are accessible through doWIND, an instance of <b>daTap </b>(RESTfull API for data aggregation and subsetting).<br>
DOI: 10.6084/m9.figshare.14356931.v1
title: CusanovichNature2018

description: scATAC-seq dataset processed for inclusion in scATAC.Explorer R package. scATAC.Explorer is an R package containing a curated collection of publicly available scATAC-seq datasets that can easily be searched and retrieved within R. Included datasets are processed into a consistent format for ease of analysis.<br>This dataset was not generated by our lab. Please also give credit to the source the dataset was retrieved from, included in reference field.
DOI: 10.6084/m9.figshare.27045502.v1
title: Actinidia valvata annotation file

description: Actinidia valvata annotation file
DOI: 10.6084/m9.figshare.15015378.v1
title: Supplementary Material for: Evolutionary Turnover in Wnt Gene Expression but Conservation of Wnt Signaling during Ovary Determination in a TSD Reptile

description: Temperature-dependent sex determination (TSD) is a well-known characteristic of many reptilian species. However, the molecular processes linking ambient temperature to determination of gonad fate remain hazy. Here, we test the hypothesis that Wnt expression and signaling differ between female- and male-producing temperatures in the snapping turtle <i>Chelydra serpentina</i>. Canonical Wnt signaling involves secretion of glycoproteins called WNTs, which bind to and activate membrane bound receptors that trigger β-catenin stabilization and translocation to the nucleus where β-catenin interacts with TCF/LEF transcription factors to regulate expression of Wnt targets. Non-canonical Wnt signaling occurs via 2 pathways that are independent of β-catenin: one involves intracellular calcium release (the Wnt/Ca<sup>2+</sup> pathway), while the other involves activation of RAC1, JNK, and RHOA (the Wnt/planar cell polarity pathway). We screened 20 Wnt genes for differential expression between female- and male-producing temperatures during sex determination in the snapping turtle. Exposure of embryos to the female-producing temperature decreased expression of 7 Wnt genes but increased expression of 2 Wnt genes and <i>Rspo1</i> relative to embryos at the male-producing temperature. Temperature also regulated expression of putative Wnt target genes in vivo and a canonical Wnt reporter (6x TCF/LEF sites drive H2B-GFP expression) in embryonic gonadal cells in vitro. Results indicate that Wnt signaling was higher at the female- than at the male-producing temperature. Evolutionary analyses of all 20 Wnt genes revealed that thermosensitive Wnts, as opposed to insensitive Wnts, were less likely to show evidence of positive selection and experienced stronger purifying selection within TSD species.
DOI: 10.6084/m9.figshare.28781450.v1
title: Full dataset for Western blot analyses of the effects of LRRC8A knockdown in patient-derived glioblastoma cells

description: This dataset includes full images obtained in western blot analyses of the effects of RNAi-driven knockdown of the LRRC8A protein in patient-derived glioblastoma cells. Analyses include changes in immunoreactivity of LRRC8A, p-ERK1/2, total ERK1/2, p-cJUN, total cJUN, p-S6, total S6, p-SPAK, total SPAK, p-AKT, total AKT, CDK2, CDK4, cyclin D1, cyclin E1.
DOI: 10.6084/m9.figshare.23731098.v1
title: Supplementary Material for: Detection of Hybrid Fusion Transcripts, Aberrant Transcript Expression and Specific Single Nucleotide Variants in Acute Leukemia and Myeloid Disorders with Recurrent Gene Rearrangements.

description: Introduction: A variety of gene rearrangements and molecular alterations are key drivers in the pathobiology of acute leukemia and myeloid disorders; current classification systems increasingly incorporate these findings in diagnostic algorithms. Therefore, clinical laboratories require versatile tools, which can detect an increasing number and variety of molecular and cytogenetic alterations of clinical significance. Methods: We validated an RNA-based NGS assay that enables the detection of: i) numerous hybrid fusion transcripts (including rare/novel gene partners), ii) aberrantly expressed EVI1(MECOM) and IKZF1 (Del Exons 4-7) transcripts, and iii) hotspot variants in KIT, ABL1, NPM1 (relevant in the context of gene rearrangement status). Results: For hybrid fusion transcripts, the assay showed 98-100% concordance for known positive and negative samples, with an analytical sensitivity (ie, limit of detection) of approximately 0.8% cells. Cases with underlying EVI1 (MECOM) translocations demonstrated increased EVI1(MECOM) expression. Aberrant IKZF1 (Del Exons 4-7) transcripts detectable with the assay were also present on orthogonal RT-PCR. Specific hotspot mutations in KIT, ABL1 and NPM1 detected with the assay showed 100% concordance with orthogonal testing. Lastly, several illustrative cases are included to highlight the assay’s clinically relevant contributions to patient work-up. Discussion/Conclusion: Through its ability to simultaneously detect various gene rearrangements, aberrantly expressed transcripts and hotspot mutations, this RNA-based NGS assay is a valuable tool for clinical laboratories to supplement other molecular and cytogenetic methods used in the diagnostic workup, and in clinical research, for patients with acute leukemia and myeloid disorders.
DOI: 10.17632/5chc3rmpj3
title: Network Attributes Inter-State Mobility 2020 (Nigeria) - Modelling COVID-19 Impacts

description: The dataset consists of network attributes (vertex betweenness and nodal efficiency) computed to examine the impact of COVID-19 impacts on the economy. Spatial interaction is pertinent for economic activities, therefore we hypothesize that changes in the spatial interaction network will have a commensurate impact on the economic output of the node within the network. The data utilized for this computation were collated from Facebook Data For Good - GeoInsight Platform. From this we collected movement data capturing the number of Facebook user moving from one State to the other in Nigeria. The computation of the network attributes was carried out with R packages (brainGraph - nodal efficiency and igraph - betweenness).
DOI: 10.17632/j64vv464zt
title: Optimization of the investment for the replacement of power transformers

description: code optimization in the AMPL software
DOI: 10.17632/j7gxmxw3vt
title: Development of Business Support Measures for China's Export Activities

description: The initial part of this research offers a foundational theoretical analysis, charting the development of China's export promotion strategies from their early formulation to current practices. It categorizes the evolution of policy into three principal stages: the foundational reform era (1978–1990), the post-WTO integration phase (2001–2010), and the contemporary period emphasizing innovation-driven and sustainable development (2010 to the present). This section pays particular attention to pivotal instruments such as export incentives, fiscal rebates, credit support for exporters, and mechanisms for managing currency valuation. Moreover, it investigates how these instruments have been recalibrated in response to the evolving global trade environment, particularly in the face of rising protectionist tendencies and the disruptions brought about by the COVID-19 crisis.
The second segment shifts focus to the operational implementation of these export facilitation policies across different sectors and geographic areas within China. It systematically evaluates the extent to which these measures have been customized to serve specific industrial domains—including manufacturing, advanced technology, and the agricultural sector—while highlighting disparities between economically advanced coastal zones and less developed inland provinces[90]. This portion also explores the structural challenges faced by small and medium-sized enterprises (SMEs) in accessing these supports and underscores the disproportionate advantages enjoyed by large state-owned enterprises (SOEs).
In the third part, the paper assesses the broader macroeconomic outcomes engendered by these policy interventions, particularly their influence on export performance and national economic expansion. It proceeds to examine the contribution of export support schemes to China’s rising prominence in international trade, using key indicators such as gross domestic product (GDP) growth, industrial productivity, and trade surplus metrics.It also assesses the long-term viability of these policies, taking into consideration the structural shifts underway within China's economy-from an export-oriented growth model to one driven by consumption and innovation. Finally, the paper considers the challenges and limitations that China's export support measures face, such as the negative impact on resource allocation, overdependence on government subsidies, and environmental impact from intensive export growth. Against this background, the paper presents recommendations for improving China's export policy framework, with a focus on enhancing the efficiency, equity, and sustainability of support measures in the context of evolving global economic dynamics.
DOI: 10.25446/oxford.28881329.v1
title: Supporting data for "Dynamical patterns and nonreciprocal effective interactions in an active-passive mixture through exact hydrodynamic analysis"

description: Data from stochastic particle simulations and PDE simulations used to produce the figures in the paper "Dynamical patterns and nonreciprocal effective interactions in an active-passive mixture through exact hydrodynamic analysis".The code to generate this data can be accessed freely at the Github repository https://github.com/mbruna/Nonreciprocal_APLG
DOI: 10.4121/17026823.v1
title: Data underlying the study on Cognitive Dysfunction in Migraineurs

description: One hundred and seventeen patients with primary headache (87 with migraine and 30 with tension-type headache (TTH) ) and 30 healthy controls were enrolled. General information, headache clinical characteristics, assessments of headache related disability, psychological symptoms and cognitive function and other relevant data were collected for statistical analysis.