cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22339921.v1
title: SE_snapper_all.vcf.gz

description: Neutral SNP dataset used in "Biogeographic provinces and genomically-delineated stock are congruent in snapper (<em>Chrysophrys auratus</em>) from southeastern Australia". Includes the two samples used in the temporal analysis.
DOI: 10.6084/m9.figshare.3521966.v1
title: Full Archive

description: Full Archive
DOI: 10.17632/zhch5y2wyk
title: Data for: Optimizing Capacity Allocation in Semiconductor Manufacturing Photolithography Area -- Case Study: Robert Bosch

description: The photolithograohy department three weeks data set.
DOI: 10.6084/m9.figshare.20456922.v1
title: Data Set

description: The data contains the information used in the above mentioned manuscript and is currently under revision.
DOI: 10.6084/m9.figshare.28731482.v1
title: Supplementary Material for: A case of immune-related adverse events, including myasthenia gravis, myositis, and myocarditis, during avelumab and axitinib combination therapy

description: Introduction: Immune checkpoint inhibitors are the mainstay of treatment for unresectable or metastatic renal cell carcinoma (RCC). However, they can cause immune-related adverse events (irAEs), and the management of these irAEs is critical. The combination of myasthenia gravis, myositis and myocarditis, which are irAEs, is rare, and it has not been reported to occur with avelumab. This report aimed to present a rare case of RCC metastasis that developed irAEs during avelumab and axitinib combination therapy. 
Case Presentation: A 76-year-old woman who underwent radical nephrectomy for clear cell RCC (pT1bN0M0 Grade 3 INFb) at the age of 67 years presented to our hospital after her family doctor noted a pancreatic tumor. She was diagnosed with pancreatic metastasis of RCC based on histopathological examination, and avelumab and axitinib combination therapy was initiated. She developed irAEs, including myasthenia gravis, myositis and myocarditis, which were treated with steroid pulse therapy. The patient recovered after treatment and was discharged without sequelae.
Conclusion: Myasthenia gravis, myositis and myocarditis can occur during avelumab and axitinib combination therapy for RCC. Prompt diagnosis, treatment, and collaboration with other departments are extremely important for managing irAEs.
DOI: 10.6084/m9.figshare.4573504.v1
title: Pfeifer_etal_2017_Nature

description: These files are the data generated and used for tables, stats and graphs in the publication Pfeifer et al. 2017 Nature
DOI: 10.6084/m9.figshare.13258661.v1
title: Supplementary Material for: Brief Online Cognitive Behavioural Intervention for Dysfunctional Worry Related to the COVID-19 Pandemic: A Randomised Controlled Trial

description: <b><i>Introduction:</i></b> Worries about the immediate and long-term consequences of the COVID-19 pandemic may for some individuals develop into pervasive worry that is disproportionate in its intensity or duration and significantly interferes with everyday life. <b><i>Objective:</i></b> The aim of this study was to investigate if a brief self-guided, online psychological intervention can reduce the degree of dysfunctional worry related to the COVID-19 pandemic and associated symptoms. <b><i>Methods:</i></b> 670 adults from the general Swedish general population reporting daily uncontrollable worry about CO­VID-19 and its possible consequences (e.g., illness, death, the economy, one’s family) were randomised (1:1 ratio) to a 3-week self-guided, online cognitive behavioural intervention targeting dysfunctional COVID-19 worry and associated symptoms, or a waiting list of equal duration. The primary outcome measure was a COVID-19 adapted version of the Generalised Anxiety Disorder 7-item scale administered at baseline and weeks 1–3 (primary endpoint). Follow-up assessments were conducted 1 month after treatment completion. The trial was registered on ClinicalTrials.gov (NCT04341922) before inclusion of the first participant. <b><i>Results:</i></b> The main pre-specified intention-to-treat analysis indicated significant reductions in COVID-19-related worry for the intervention group compared to the waiting list (β = 1.14, <i>Z</i> = 9.27, <i>p</i> &lt; 0.001), corresponding to a medium effect size (bootstrapped <i>d</i> = 0.74 [95% CI: 0.58–0.90]). Improvements were also seen on all secondary measures, including mood, daily functioning, insomnia, and intolerance of uncertainty. Participant satisfaction was high. No serious adverse events were recorded. <b><i>Conclusions:</i></b> A brief digital and easily scalable self-guided psychological intervention can significantly reduce dysfunctional worry and associated behavioural symptoms related to the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.14603934.v1
title: HSV-2 primer

description: A primer that is specific to Herpes Simplex Virus 2 (HSV-2) DNA. HSV-1 DNA is not amplified by this primer
DOI: 10.6084/m9.figshare.27948342.v1
title: Supplementary_Data_Roberts_at_al_2024

description: Supplementary data from: <br><br>Multiple Displacement Amplification Facilitates SMRT Sequencing of Microscopic Animals and the Genome of the Gastrotrich <i>Lepidodermella squamata</i> (Dujardin, 1841)Nickellaus G Roberts, Michael J Gilmore, Torsten H Struck, Kevin M Kocot<br><br>Hox gene alignment and tree: hox_alignment_treeOrthogroup sequences: Orthofinder_outputs<br>iqtree tree, log, and supermatrix: iqtreeannotation details and braker outputs: braker
DOI: 10.6084/m9.figshare.24113352.v1
title: The assembly and annotation of Cavendish

description: Cavendish_Ban_genomic.fna.gz, Cavendish_Dh_genomic.fna.gz and Cavendish_Ze_genomic.fna.gz are three haplotype-resolved assemblies for sub-genomes of Cavendish.
DOI: 10.6084/m9.figshare.28169732.v1
title: Studies on DMCs (2019-2024)

description: The research reviews empirical studies on directed motivational currents, a latest theory in the field of language learning motivation. The data shows the 112 empirical studies selected from Web of Science (WOS), Google Scholar (GS) and China National Knowledge Infrastructure (CNKI) from 2019 to 2024.
DOI: 10.6084/m9.figshare.27930201.v2
title: <b>Function of GOLM1 in cholangiocytes</b>

description: <b>GOLM1 Interactome proteome raw data files and GOLM1 liver snRNA seq raw data used for uMAP for the publication of: Insight into the function of GOLM1 in cholangiocytes through interactomics analysis.</b><br><b>GOLM1 Interactome Proteomics:</b> Raw data for the GOLM1 interactome.<b>Control Zip file:</b> Control immunoprecipitates from 3 biological replicates (Zip file.)<b>GOLM1 Zip file:</b> GOLM1 immunoprecipitates from 3 biological replicates expressing GOLM1 ORF with V5 tag (Zip file).<b>Combined (.XLSX)</b>: All annotated proteins in Control and GOLM1 immunoprecipitates.<b>Shortlisted GOLM1 Interactome (.XLSX):</b> Proteins identified in all three biological replicates of GOLM1-expressing cells and not identified in any of the 3 controls were concluded as GOLM1-interacting proteins (control: 0,0,0; GOLM1: ++, ++, ++)<br><b>GOLM1 liver snRNAseq:</b> Raw data used for GOLM1’s expression in various liver cell types for UMAP projection (R object).
DOI: 10.6084/m9.figshare.5127535.v1
title: Supplementary Material for: Fragebogen zur Partnerschaftsqualität: Quality of Marriage Index - Deutsche Version (QMI-D)

description: Medicine
DOI: 10.17632/6556kzgxv3
title: Data for: Effect of tidal flooding on ecosystem CO2 and CH4 fluxes in a salt marsh in the Yellow River Delta
DOI: 10.6084/m9.figshare.28344671.v1
title: Robust encoding of stimulus–response mapping by neurons in the visual cortex

description: Datasets for the paper "Robust encoding of stimulus–response mapping by neurons in the visual cortex".Please refer to the Materials and Methods in the paper for data collection details.Each h5 file contains the following datasets:spk - a <i>N(trials)*N(times)*N(units)</i> array that stores the spike raster data with a 1-ms bin sizets - a N(times)*1 array for the times relative to cue onset (time 0 = cue onset)trial_info - a dictionary for trial information data, including task version, cue location, behavioral performance, etc.Files and variablesFile: V4_delay.h5<b>Description:</b> datasets from the regular recording sessionsFile: V4_delay_inactivation.h5<b>Description:</b> datasets from the inactivation sessions, where trial_info contains labels for the control or inactivation trials
DOI: 10.6084/m9.figshare.6839906.v1
title: Supplementary Material for: Metformin Does Not Affect Clinically Relevant Outcomes in Patients with Idiopathic Pulmonary Fibrosis

description: <b><i>Background:</i></b> Diabetes mellitus is a possible risk factor for the development of idiopathic pulmonary fibrosis (IPF), yet the effect of antidiabetic therapy on the course of IPF is unknown. <b><i>Objectives:</i></b> This post hoc analysis assessed the effect of metformin on clinically relevant outcomes in patients with IPF. <b><i>Methods:</i></b> For the primary analysis, patients randomized to placebo (<i>n</i> = 624) in 3 phase 3, double-blind, controlled trials of pirfenidone (CAPACITY [NCT00287716 and NCT00287729]; ASCEND [NCT01366209]) were categorized by baseline metformin use. The primary outcome was disease progression (forced vital capacity [FVC] decline ≥10%, 6-min walking distance [6MWD] decline ≥50 m, or death). Other outcomes included mortality, hospitalization, FVC decline (≥10 and ≥5%), and 6MWD decline. Outcomes were also assessed in patients with diabetes and/or hyperglycemia (impaired glucose tolerance [IGT] and diabetes population [IGT-diabetes population]) and all patients included in the 3 studies (intention-to-treat [ITT] population). <b><i>Results:</i></b> Overall, 71 (11.4%) patients were metformin users and 553 (88.6%) were nonmetformin users. Baseline data were similar between groups, except for a higher percentage of males (84.5 vs. 73.2%) and a history of diabetes (98.6 vs. 11.6%) in metformin users versus nonmetformin users. The unadjusted 1-year analyses demonstrated no significant differences in disease progression or other outcomes. A higher proportion of metformin users compared with nonmetformin users had a relative FVC decline of ≥5% (63.4 vs. 50.6%, <i>p</i> = 0.043). Results were similar for the IGT-diabetes population and for the ITT population. Multivariable analyses yielded similar results. <b><i>Conclusions:</i></b> Metformin has no effect on clinically relevant outcomes in patients with IPF.
DOI: 10.17632/j2pxv7ntgb
title: KML files of the identified dune units with their interpreative classifications, and types of lakes basins

description: In this study, the morphology of the dunes located in the coastal stretch between Inharrime and Inhambane (Mozambique) is analysed using remote sensing-based datasets, including open-source satellite imagery and digital terrain models, to explore the link between dune evolution and lake genesis. This analysis allowed identification of two types of dunes based on their morphology. The first being shore-parallel ridges, interpreted as ancient coastal barriers, and the second being mostly parabolic dunes and trailing arms perpendicular to the present-day coastline, interpreted as transgressive dunes. By comparing the position of these coastal barriers and the global sea-level curve, an age was tentatively assigned to each barrier. The barriers are suggested to have been formed during marine interstadial events, namely between MIS13 and MIS 5, when sea level was high. In contrast, the transgressive dunes seem to have formed later, although determining their precise origins remains a difficult task. Considering the types of dunes, two types of lake basins were identified: back-barrier depressions and deflation basins.
DOI: 10.6084/m9.figshare.25931941.v1
title: Dataset of building characteristics from building façade images

description: Building characteristics are vital across various domains such as construction management and architectural design. Static Street View Images (SSVIs) can be utilized with deep learning techniques to interpret building characteristics without the need for a physical visit. Deep learning approaches have demonstrated a high capability for generalization, enabling the automation of manual tasks related to image analysis. However, there is no publicly available labeled dataset of building characteristics from building facade images for training deep learning models. In this article, we focus on constructing a dataset for four different tasks: classification of the number of stories, classification of building typologies, classification of exterior cladding materials, and classification of usable SSVIs. To develop deep learning models, this research constructed a dataset sourced from London and Scotland in the UK. The dataset was labeled by annotation experts. While the focus of this research is on specific tasks, the raw dataset can be used for other purposes (e.g., ascertaining the age of buildings or identifying window types) by annotating the data for the corresponding tasks.
DOI: 10.6084/m9.figshare.7250429.v1
title: Heusler Magnetic Data

description: 1153 Heusler alloys with DFT-calculated magnetic and electronic properties. The 1153 alloys include 576 full, 449 half and 128 inverse Heusler alloys. The data are extracted and cleaned (including de-duplicating) from Citrine. See reference 1 below.<br><br>Available as Monty Encoder encoded JSON and as CSV. Recommended access method is with the matminer Python package using the datasets module.<br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br>
DOI: 10.60893/figshare.jva.28391582.v1
title: The investigation on properties of the TiSiN/TiSi-DLC multilayer coatings prepared by hybrid deposition technique

description: Supplementary data for manuscripts
DOI: 10.6084/m9.figshare.14822481.v2
title: RNA-seq training dataset

description: Subsample of RNA-seq data from E-MTAB-4044, including yeast cDNA fasta file. Dataset for use with carpentries workflow courses:https://carpentries-incubator.github.io/workflows-nextflowandhttps://carpentries-incubator.github.io/snakemake-novice-bioinformatics/<br><br>
DOI: 10.6084/m9.figshare.23616547.v1
title: A Simple and Effective Method to Extract Chitosan from Crustacean Shell Waste

description: A modified method to extract chitosan from crustacean shell waste is presented. Separate steps for deproteinization, decolorization, and deacetylation were replaced with single-step steeping in an alkali solution for 24 h. This method resulted in 33.26%, 11.39%, and 10.15% of chitosan yield, respectively from whiteleg shrimp, blueswimming crab and giant freshwater prawns whilepreserving physicochemical properties, which was evident by FTIR, XRD, SEM, EDS, ash, viscosity, colour, and antioxidant values. A comparison with the conventional heating method shows 8.10% chemical and 13% energy savings and comparative simplicity of the modified method showing potential to be executed at the industrial level.
DOI: 10.6084/m9.figshare.28307321.v2
title: Prediction of Olympic medals based on GA-BP and logistic regression model

description: Predicting the number and distribution of medals in the future Olympic Games has become a noticeable topic. However, it is not easy to predict the number of Olympic medals. We need to comprehensively consider historical data, athletes' performance, host country effect and other factors from multiple dimensions. This paper adopts GA-BP algorithm model, which is an optimization algorithm combining genetic algorithm (GA) and back propagation neural network (BPNN). It uses the global search ability of genetic algorithm to optimize the weight and bias parameters of BP neural network, so as to improve the training efficiency and prediction performance of neural network. By estimating the number of gold medals and total medals of each country in the Olympic Games, and verifying the accuracy of the model, the medal list of the 2028 Los Angeles Olympic Games is finally predicted. Based on the synthetic control model, this paper selects two countries, Estonia and China, as the research object. By constructing a virtual control group and two experimental groups, the change of the number of medals in different periods and the change of the number of medals with or without coaches in the same period were analyzed, and the difference between the actual medal growth and the synthetic control group (no coach effect team) was compared. The results show that the number of medals won by Estonia and China with a head coach is higher than that without a head coach. Under the guidance of excellent coaches, Estonia won 1 gold medal and 2 bronze medals in 1992, indicating that the great head coach effect has a significant role in promoting the performance of athletes. This paper explores the valuable opinions of the Olympic committee decision-making, reveals the key factors behind the distribution of medals, optimizes the allocation of national strategic resources, and predicts the performance of countries in the future Olympic Games. This research will help to improve the accuracy of the model more comprehensively, better understand the medal trend of the Olympic Games, and provide a scientific basis for the NOC to achieve better results in the future Olympic Games.
DOI: 10.6084/m9.figshare.5126059.v1
title: Supplementary Material for: Do American Goldfinches See Their World Like Passive Prey Foragers? A Study on Visual Fields, Retinal Topography, and Sensitivity of Photoreceptors

description: Several species of the most diverse avian order, Passeriformes, specialize in foraging on passive prey, although relatively little is known about their visual systems. We tested whether some components of the visual system of the American goldfinch <i>(Spinus tristis),</i> a granivorous bird, followed the profile of species seeking passive food items (small eye size relative to body mass, narrow binocular fields and blind areas, centrally located retinal specialization projecting laterally, ultraviolet-sensitive vision). We measured eye size, visual field configuration, the degree of eye movement, variations in the density of ganglion cells and cone photoreceptors, and the sensitivity of photoreceptor visual pigments and oil droplets. Goldfinches had relatively large binocular (46°) and lateral (134°) visual fields with a high degree of eye movement (66° at the plane of the bill). They had a single centrotemporally located fovea that projects laterally, but can be moved closer to the edge of the binocular field by converging the eyes. Goldfinches could also increase their panoramic vision by diverging their eyes while handling food items in head-up positions. The distribution of photoreceptors indicated that the highest density of single and double cones was surrounding the fovea, making it the center of chromatic and achromatic vision and motion detection. Goldfinches possessed a tetrachromatic ultraviolet visual system with visual pigment peak sensitivities of 399 nm (ultraviolet-sensitive cone), 442 nm (short-wavelength-sensitive cone), 512 nm (medium-wavelength-sensitive cone), and 580 nm (long-wavelength-sensitive cone). Overall, the visual system of American goldfinches showed characteristics of passive as well as active prey foragers, with a single-fovea configuration and a large degree of eye movement that would enhance food searching and handling with their relatively wide binocular fields.
DOI: 10.17632/gmsvxm2wmw
title: Small Punch Test and Microindentation Raw Data

description: All raw Small Punch Test and Spherical Microindentation data used in the report titled "Critical Comparison of Spherical Microindentation, Small Punch Test, and Uniaxial Tensile Testing for Selective Laser Melted Inconel 718" is contained here. The raw data encompasses the load-displacement machine feedback data for all test performed for the study.
DOI: 10.6084/m9.figshare.24954597.v4
title: Data: Ecological niche conservatism spurs diversification in response to climate change

description: The dataset contains the configuration and data used to perform the simulations and generate the figures for the paper titled "Ecological niche conservatism spurs diversification in response to climate change", which is going to be online on Nature Ecology & Evolution soon.AbstractA longstanding debate has focused on the relationship between evolutionary innovation in ecological niches of species and rates of biological diversification of those species. As such questions across broad scales of time and space, short-term experiments or scattered fossil evidences are not feasible, and contrasting opinions have emerged: niche innovation might allow species to explore and colonize new geographic areas across which they could speciate, or niche conservatism might augment isolation of populations that could then undergo allopatric speciation. Here, we used an <i>in silico</i>, “virtual world” simulation approach to address these questions. First, we created biological worlds on global scale in which different types of niche evolution could and could not occur, and then examined the resulting virtual species assemblages in terms of levels and patterns of diversity. The outcome was clear: niche conservatism promotes biological diversification, whereas labile niches—whether adapting to conditions available or changing randomly—led to slower diversification rates. This outcome, in the context of burgeoning theoretical and empirical evidence for niche conservatism, provides a framework for understanding how Earth-life interactions produced such a diverse biota.<br>
DOI: 10.6084/m9.figshare.25461061.v2
title: Data from "Molecular-scale insights into the electrical double layer at oxide-electrolyte interfaces”

description: This dataset contains data relates to the publication "Molecular-scale insights into the electrical double layer at oxide-electrolyte interfaces", by Zhang et al., 2024. In this work, we employ ab initio-based machine learning potentials including long-range electrostatic interactions to perform large-scale atomistic simulations of the electrical double layer at the TiO<sub>2</sub>-electrolyte interface. This dataset contains the complete DFT training datasets and the deep potential models reported in the publication.
DOI: 10.6084/m9.figshare.5925199.v2
title: Supplementary Datafile1 from Trade-off between fertility and predation risk drives a geometric sequence in the pattern of group sizes in baboons.

description: Group size data
DOI: 10.6084/m9.figshare.19095599.v1
title: Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data

description: The 1-km gridded total GDP data of mainland China in 2019 was generated by a deep learning approach (i.e., GDPnet). The GDPnet was proposed in the paper of "Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data" published in the journal of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.<br>Chen, Y., Wu, G., Ge, Y., & Xu, Z. (2022). Mapping gridded gross domestic product distribution of China using deep learning with multiple geospatial big data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1791-1802<br>
DOI: 10.6084/m9.figshare.28147985.v1
title: Mapping files needed for the workflow (probability, OAS1b status)

description: These are several mapping files used in the workflow presented in this project. The rix_universal_model_prob_males_27-Jun-2016.rda file data came from the following website:https://csbio.unc.edu/CCstatus/index.py? The following code was used to create the R data frame:run=FounderProbshttps://github.com/biodev/SIG/blob/master/scripts/rix_qtl_mapping_functions.r
DOI: 10.6084/m9.figshare.29163557.v1
title: GTSD

description: 我们提出的 GTSD 数据集源自 SDGSAT-1 热红外 （TI） 和微光数据。由分辨率为 10 m、大小为 768×768 的 GRSI 和分辨率为 30 m、大小为 256×256 的 TIRSI 组成。在像素级分割数据集上训练我们提出的 SGFusion 模型后，我们获得了 2,831 张大小为 768×768 的融合图像，总共包含 5,340 艘船。