cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28712000.v1
title: Breaking Electrode Placement Constraints in Brain-Computer Interfaces: A Cross-Brain Neural Signal Reconstruction-Decoding Approach

description: The training code for the dual-stream cooperative deep time-series prediction model and the implementation of the cross-brain reconstruction-decoding algorithm.
DOI: 10.6084/m9.figshare.1558078.v1
title: Grassland Dataset 2

description: This lab was conducted by sampling a specific plant species called <em>Cricus vulgare</em> using a transect on York University grasslands near Strong pond which took place on September 22, 2015. S. Govinda recorded the data on notebook while S. Lam identified the plant, and took measurements. The study site was very dense with vegetation all around the pond. A transect tape was randomly placed which extended 30 metres towards the pond. The plant that we selected was the Field Thistle(<em>Cricus vulgare)</em>. An individual would walk along the transect tape and everytime the target plant was visible, they would record down the distance from the transect, the height of the plant, number of leaves, number of flowers, and the crowdness level. In order to measure the distance from the transect the individual walked in a straight line from the plant towards the transect tape, making note of the distance on the tape in metres. We used a second transect to measure the height of the plant that we identified by in metres, placing the tape to the ground to a leveled surface, measuring to the highest point of the plant regardless of leaf or flower or stem. The method used to count the number of leaves and flowers involved a quick observational count of the visible flowers or leaves excluding dead flowers or leaves. Crowdness level of the identified plant was observed by the number of surrounding plants within a 50cm distance which used the scale from 0 to 3, 0 indicating that there are no plants within 50cm, and 3 indicating that there are other plants obstructing the identified plant. This process was done for a total of 50 individuals in one transect.
DOI: 10.6084/m9.figshare.27411336.v1
title: data for aim 2 of Agostinelli dissertation 2023

description: Data from Agostinelli disseration 2023 part of secondary aim.
DOI: 10.6084/m9.figshare.12949796.v1
title: Intervention Effect of Online Mindfulness Training on Test Anxiety of Youth during COVID–19 Pandemic.xlsx

description: Data from a quasi–experiment of online mindfulness training aimed arguing its benefits for youth during COVID–19 pandemic.
DOI: 10.6084/m9.figshare.28089191.v1
title: <b>Chromosome-level genome assembly of </b><b><i>Ampulex clypecomplana</i></b><b> Chen & Li (Hymenoptera: Ampulicidae)</b>

description: <i>Ampulex clypecomplana</i><i> </i>Chen & Li, 2010 (Hymenoptera: Ampulicidae) is an important predatory insect in Hymenoptera.The genome assembly length was 338.43 Mb, with a Scaffold N50 length of 19.05 Mb. We annotated 110.75 Mb of repetitive sequences, accounting for 32.72% of the entire genome. In <i>A</i>. <i>clypecomplana</i>, we identified 180 gene expansions and 1029 genes that underwent contraction or loss. The high-quality genome of <i>A</i>. <i>clypecomplana</i><i> </i>provides a valuable genetic resource for future research in evolution, molecular biology, and applied studies.
DOI: 10.6084/m9.figshare.7679363.v1
title: Economy-Related Tweets

description: The data file consists of the all tweets made by @realDonald Trump, those determined to be economy-related, their assigned sentiment (positive, negative, neutral).The data file also contains the data in a day-to-day format, with the total tweets made per day, the total economy-related tweets per day, the % of tweets about the economy for each day, and the percent change in the S&P 500 and VIX for each day.
DOI: 10.6084/m9.figshare.21625529.v1
title: Dataset participation in legislative comittees - Chile.xlsx

description: his article focuses on participation in Congress committees during the discussion of environmental bills in the last twelve years (2010-22). The database contains details of who attended and who participated in legislative committees when discussing environmental laws.
DOI: 10.6084/m9.figshare.20609208.v1
title: ExampleData folder for GOThresher

description: Example data to be used for demonstrating GO Threser and checking the installation. <br> See: https://github.com/FriedbergLab/GOThresher for details. <br> <br>
DOI: 10.6084/m9.figshare.7910579.v1
title: gVCF_NA19030

description: 1000 Genomes gVCF mapped to hs37d5 for NA19030. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.15468/dl.fgqp9p
title: Occurrence Download

description: A dataset containing 2445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.20753 40.28525,3.59892 41.60029,3.47484 42.56422,0.48101 42.95284,0.20753 40.28525))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "TaxonKey is one of (Lacerta bilineata Daudin, 1802, Lacerta viridis (Laurenti, 1768))"
 ]
}

 The dataset includes 2445 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009571-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25231922.v1
title: DevEval

description: A Code Generation Benchmark on Practical Software Projects
DOI: 10.6084/m9.figshare.7268558.v3
title: Urai et al. (2019) Choice history biases subsequent evidence accumulation. eLife, in press

description: Code and data forUrai AE, de Gee JW, Tsetsos K, Donner TH (2018) <i>Choice history biases subsequent evidence accumulation. eLife, </i>in press.<br>• raw data files have the name of each dataset (see Figure 2 and Methods for details)<br>• <i>_hddmfits.csv</i> has single-subject and group-level MAP estimates for all models described in the paper. Column names indicate parameter_modelname.• <i>_gsquarefits.csv</i>, same as above but for non-hierarchical g-square fits (Supplementary Figure 4a). Rather than a group-level DIC value, each individual fit lists a BIC and likelihood estimate,• <i>visual_motion_2afc_fd_motion-energy-filter.mat</i>, single-trial timecourses of motion energy (up - down) estimated from frame-by-frame dot coordinates.<i>• visual_motion_2afc_fd_extendedfits.csv</i>, fits for all extended models (Figure 7). column names indicate model type and parameter estimate for each subject.<br><br>
DOI: 10.6084/m9.figshare.7258235.v1
title: Cytoscape session of networks generated with the stringApp

description: Supporting Information for the paper entitled <i>Cytoscape stringApp: Network analysis and visualization of proteomics data</i> (preprint available at bioRxiv). The Cytoscape session contains networks generated with the stringApp for the analysis of a phosphoproteomics dataset of ovarian cancer by Francavilla <i>et al.</i> (Cell Rep. 2017).<br>
DOI: 10.6084/m9.figshare.22957121.v1
title: Interview guide and transcripts.docx

description: Contains transcripts from 9 interviews with teachers at one large English primary school. The interview guide is also included. The data focuses on parental engagement before, during and after the COVID-19 pandemic school closures.
DOI: 10.6084/m9.figshare.26272336.v1
title: SMIM

description: This is a cross generational investigation on the effect of social media influencer marketing on green destination image with the mediating role of environmental concern.
DOI: 10.6084/m9.figshare.27613470.v3
title: Supplementary Files associated with manuscript: "<b>Consistent microbial insights across sequencing methods in soil studies: The role of reference taxonomies"</b>

description: The datasets are supplementary files associated with the paper titled "<b>Consistent</b><b> microbial insights across sequencing methods in soil studies: The role of reference taxonomies"</b><b>The team that worked on this immense project gives you access to this data. As such, remember to cite the paper and this dataset whenever this data is reused.</b>
DOI: 10.6084/m9.figshare.5127499.v1
title: Supplementary Material for: Vitamin D Supplementation Modulates the Immune System and Improves Atopic Dermatitis in Children

description: <b><i>Background:</i></b> Vitamin D seems to influence the evolution of atopic dermatitis (AD) in children. <b><i>Methods:</i></b> We tested the vitamin D serum levels of 39 children with AD (AD group t₀) and of 20 nonallergic healthy controls (C group). AD severity was evaluated using the AD scoring system (SCORAD index). Cytokine serum levels (IL-2, IL-4, IL-6, IFN-γ, TNF-α) and atopy biomarkers were also measured. The patients were then treated with vitamin D oral supplementation of 1,000 IU/day (25 mg/day) for 3 months. We then reevaluated the vitamin D serum levels, AD severity and cytokine serum levels in all of the treated children (AD group t<sub>1</sub>). <b><i>Results:</i></b> The cross-sectional analysis on patients affected by AD (AD group t₀) showed that the initial levels of all the tested cytokines except for TNF-α were higher than those of the healthy control group (C group), falling outside the normal range. After 3 months of supplementation the patients had significantly increased vitamin D levels (from 22.97 ± 8.03 to 29.41 ± 10.73 ng/ml; p = 0.01). A concomitant significant reduction of both the SCORAD index (46.13 ± 15.68 at the first visit vs. 22.57 ± 15.28 at the second visit; p &lt; 0.001) and of all the altered cytokines (IL-2, IL-4, IL-6, IFN-γ) was also found. <b><i>Conclusions:</i></b> This study showed vitamin D supplementation to be an effective treatment in reducing AD severity in children through normalization of the Th1 and Th2 interleukin serum pattern.
DOI: 10.6084/m9.figshare.7928501.v1
title: gVCF_NA19331

description: 1000 Genomes gVCF mapped to hs37d5 for NA19331. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.15152487.v1
title: Herbivory Damage R Code

description: R code analyzing herbivory damage of tomato plants by T.ni caterpillars.
DOI: 10.6084/m9.figshare.22269472.v1
title: agri_maize.tif

description: maize straw map
DOI: 10.6084/m9.figshare.19734022.v1
title: GSE146771

description: 18 colorectal cancer patients. All patients except 5 had paired tumor and adjacent normal samples obtained.
DOI: 10.6084/m9.figshare.25112258.v1
title: Acute Pain Data.

description: Pain data for paper publication:<b>Salama V,</b> Youssef S, Xu T, Wahid KA, PhD, Chen J, Rigert J, Lee A, Hutcheson KA, Gunn B, Phan J, Garden AS, Frank SJ, Morrison W, Reddy JP, Spiotto MT, Naser MA, Dede C, He R, Mohammed AR, van Dijk LV, PhD, Lin R, Roldan CJ, Rosenthal DI, Fuller CD, Moreno AC. Temporal Characterization of Acute Pain and Toxicity Kinetics During Radiation Therapy for Head and Neck Cancer. A Retrospective Study. Oral Oncology Report, 2023. https://doi.org/10.1016/j.oor.2023.100092<b>Temporal Characterization of Acute Pain and Toxicity Kinetics During Radiation Therapy for Head and Neck Cancer. A Retrospective Study.</b>ABSTRACT Objectives: Pain during Radiation Therapy (RT) for oral cavity/oropharyngeal cancer (OC/OPC) is a clinical challenge due to its multifactorial etiology and variable management. The objective of this study was to define complex pain profiles through temporal characterization of pain descriptors, physiologic state, and RT-induced toxicities for pain trajectories understanding. Materials and Methods: Using an electronic health record registry, 351 OC/OPC patients treated with RT from 2013 to 2021 were included. Weekly numeric scale pain scores, pain descriptors, vital signs, physician-reported toxicities, and analgesics were analyzed using linear mixed effect models and Spearman’s correlation. Area under the pain curve (AUCpain) was calculated to measure pain burden over time. Results: Median pain scores increased from 0 during the weekly visit (WSV)-1 to 5 during WSV-7. By WSV-7, 60% and 74% of patients reported mouth and throat pain, respectively, with a median pain score of 5. Soreness and burning pain peaked during WSV-6/7 (51%). Median AUCpain was 16% (IQR (9.3–23)), and AUCpain significantly varied based on gender, tumor site, surgery, drug use history, and pre-RT pain. A temporal increase in mucositis and dermatitis, declining mean bodyweight (-7.1%; P&lt;0.001) and mean arterial pressure (MAP) 6.8 mmHg; P&lt;0.001 were detected. Pulse rate was positively associated while weight and MAP were negatively associated with pain over time (P&lt;0.001). Conclusion: This study provides insight on in-depth characterization and associations between dynamic pain, physiologic, and toxicity kinetics. Our findings support further needs of optimized pain control through temporal data-driven clinical decision support systems for acute pain management.
DOI: 10.6084/m9.figshare.22799168.v1
title: Rekapitulasi Survei Mahasiswa Tentang Topik Skripsi di Prodi Pendidikan Teknologi Informatika dan Komputer

description: Dokumen ini adalah rekapitulasi hasil survei terhadap mahasiswa Prodi Pendidikan Teknologi Informatika dan Komputer Universitas Negeri Medan tahun angkatan 2019. Survei ini bertujuan untuk mengetahui kebermanfaatan ChatGPT sebagai solusi alternatif untuk menemukan topik skripsi bagi mahasiswa yang belum memiliki topik skripsi sesuai dengan bidangnya.
DOI: 10.6084/m9.figshare.28674503.v1
title: Supplementary Material for: Emulsifier-induced changes to the human skin barrier – Connection to ceramide profiles and assessment as a skin lesion model

description: Emulsifiers are common excipients in dermal products stabilizing formulations such as creams and emulsions. But due to their potential for skin irritation, emulsifiers for pharmaceutical use should be tested regarding their tolerability before introducing them to the skin of patients. In this study, a systematic investigation with six oil in water (o/w)-emulsifiers was performed on the forearms of 12 healthy human volunteers, six female and six male. We analyzed the effects of pharmaceutical emulsifiers on the macroscopic skin health parameters measured as trans-epidermal water loss (TEWL) and skin hydration and measured the ceramide profile of the treated skin sites using liquid chromatography coupled to mass spectrometry (LC-MS) in order to assess the skin tolerability of the investigated emulsifiers. In a second step, a Partial Least Squares Regression was employed to investigate relationships between changes in the ceramide profile to changes in the TEWL of skin treated with a non-ionic as well as an anionic emulsifier. Skin health measurements showed that the applied emulsifiers inflicted no significant changes compared to the water-treated sample, demonstrating a remarkable skin tolerability. The employed regression model showed a good fit as well as adequate prediction and identified ceramide species associated with impaired skin barrier function. Furthermore, it was found that the relationship between the ceramide profile and the skin barrier function in emulsifier-induced skin damage shows distinct similarities to the interplay of ceramides and skin barrier function in lesional skin linked to Atopic Dermatitis (AD), hinting towards a common underlying mechanism and opening up possibilities to simulate disease-related changes to the skin for the development of skin damage models. In conclusion, these detailed investigations yield insight into possible mechanisms of emulsifier induced skin damage and show its versatility in the investigation of pharmaceutical emulsifiers for formulation development as well as basic research.
DOI: 10.6084/m9.figshare.28908290
title: CF_po1_raw_mouse_data

description: The Raw genotype and phenotype data of Diversity Outbred mouse
DOI: 10.6084/m9.figshare.5126275.v1
title: Supplementary Material for: Predictors of Outcome following Stroke due to Isolated M2 Occlusions

description: <b><i>Background:</i></b> Factors influencing outcome after cerebral artery occlusion are not completely understood. Although it is well accepted that the site of arterial occlusion critically influences outcome, the majority of studies investigating this issue has focused on proximal large artery occlusion. To gain a better understanding of factors influencing outcome after distal large artery occlusion, we sought to assess predictors of outcome following isolated M2 middle cerebral artery occlusion infarcts. <b><i>Methods:</i></b> We retrospectively analyzed patients with isolated acute M2 occlusion admitted to a single academic center from January 2010 to August 2012. Baseline clinical, laboratory imaging, and outcome data were assessed from a prospectively collected database. Factors associated with a modified Rankin Scale (mRS) score ≤2 in univariable analyses (p &lt; 0.05) were entered into multivariable logistic regression analysis. The Admission National Institutes of Health Stroke Scale (aNIHSS) score, age, and infarct volume were also entered as dichotomized variables. Receiver operating characteristic curves were plotted to determine the optimal aNIHSS score, infarct volume, and age cut points predicting an mRS score ≤2. Optimal thresholds were determined by maximizing the Youden index. Respective multivariable logistic regression analyses were used to identify independent predictors of a good 90-day outcome (mRS score ≤2; primary analysis) as well as 90-day mortality (secondary outcome). <b><i>Results:</i></b> 90 patients with isolated M2 occlusion were included in the final analyses. Of these, 69% had a good 90-day outcome which was associated with age &lt;80 years (p = 0.007), aNIHSS &lt;10 (p = 0.002), and infarct volume ≤26 ml (p &lt; 0.001). Notably, 20% of patients (64% of those with a poor outcome) had died by 90 days. Secondary analysis for 90-day mortality was performed. This analysis indicated that infarct volume &gt;28 ml (OR 11.874, 95% CI 2.630-53.604, p = 0.001), age &gt;80 years (OR 4.953, 95% CI 1.087-22.563, p = 0.039), need for intubation (OR 7.788, 95% CI 1.072-56.604), and history of congestive heart failure (OR 5.819, 95% CI 1.140-29.695) were independent predictors of 90-day mortality (20% of all included patients). <b><i>Conclusion:</i></b> While the majority of patients with isolated M2 occlusion stroke has a good 90-day outcome, a substantial proportion of subjects dies by 90 days, as identified by a unique subset of predictors. The knowledge gained from our study may lead to an improvement in the prognostic accuracy, clinical management, and resource utilization in this patient population.
DOI: 10.6084/m9.figshare.20069333.v1
title: TikTokData.xlsx

description: We used TikTok’s built-in account analytics to download and record video and account metrics for the period between 10/8/2021 and 2/6/2022. We collected the following summary data for each individual video: video views, likes, comments, shares, total cumulative play time, average duration the video was watched, percentage of viewers who watched the full video, unique reached audience, and the percentage of video views by section (<em>For You</em>, personal profile, <em>Followin</em>g, hashtags). We evaluated the “success” of videos based on reach and engagement metrics, as well as viewer retention (how long a video is watched). We used metrics of reach (number of unique users the video was seen by) and engagement (likes, comments, and shares) to calculate the engagement rate of each video. The engagement rate is calculated as the engagement parameter as a percentage of total reach (e.g., Likes / Audience Reached *100).
DOI: 10.6084/m9.figshare.13653065.v1
title: Allanson_etal_2021_WaveGrowthPaper_InputDeck

description: <b>Data for a JGR-Space Physics Article (2021)</b><br><b>Electron diffusion and advection during nonlinear interactions with whistler-mode waves</b><br><b><i>O. Allanson, C. E. J. Watt, H. J. Allison & H. Ratcliffe</i></b><br><br>This file provides: (D1) the contents of the input text file, used for the numerical experiment that is presented in the main article.<br>A combination of the information provided in Supporting Information S1 and herein will enable readers to locally generate the same experimental data as was considered in the main article.
DOI: 10.6084/m9.figshare.14285034.v1
title: Analysis of Microstructure and Mechanical Properties of AZ31B Magnesium Alloy/AA6061 Aluminum Alloy Welded Joint by Ultrasonic Welding

description: AZ31B magnesium alloy/AA6061 aluminium alloy welded structures have been widely used in the lightweight design of automobile bodies. To improve the joint strength, the ultrasonic spot welding (USW) solid state connection method is used in this paper. The results show that at a welding energy of 1540 J, there is evidence of melting in the weld joint. As the welding energy increases, the intermetallic compounds (IMCs) grow rapidly and form a reaction layer approximately 17 μm thick. The IMCs are mainly composed of the γ-Mg17Al12+β-Mg2Al3 phase, where the β-Mg2Al3 phase hardness is as high as 6.5 GPa and shows a typical pop-in phenomenon and the average hardness of the γ-Mg17Al12 cubic structure phase is 3.4 GPa. When the welding energy reaches 1540 J, the β phase rapidly grows, and the joint performance decreases rapidly. The fracture morphology indicates a cleavage fracture and is accompanied by a large number of secondary cracks.
DOI: 10.6084/m9.figshare.28629677.v1
title: Scaevola sericea genome sequencing

description: Genomic data of coastal plant Scaevola sericea
DOI: 10.6084/m9.figshare.20016020.v1
title: Lending club full

description: part of the dataset supplied in: https://www.kaggle.com/datasets/wordsforthewise/lending-club
DOI: 10.6084/m9.figshare.28815341.v1
title: All Dataset and Model for 'THM Coupling Dynamics and Failure Mode Divergence in Cyclic Rainfall-Induced Shallow Landslides: Infrared Thermography Unravels Fracture Evolution and Structural Controls'

description: Extreme rainfall can trigger shallow landslides, which are sudden and highly destructive natural hazards. Understanding how these landslides occur and developing early warning systems is crucial for protecting communities and infrastructure. This research investigates the complex interactions between water, temperature, and soil movement during rainfall-induced landslides. By using physical experiments and advanced imaging technology, the study reveals how changes in water pressure, soil stress, and temperature can signal the onset of a landslide. Key findings include the identification of specific warning signs, such as rapid increases in soil stress, changes in water flow patterns, and temperature fluctuations. These insights help explain how landslides develop and provide valuable information for improving early warning systems. The research also highlights differences in landslide behavior depending on the type of soil and rainfall intensity, offering a better understanding of landslide mechanisms and their broader implications for safety and risk management.
DOI: 10.6084/m9.figshare.6832313.v1
title: Evaluation of the fetal abdomen by magnetic resonance imaging. Part 2: abdominal wall defects and tumors

description: Abstract Although ultrasound is still the gold standard for the assessment of fetal malformations, magnetic resonance imaging (MRI) has gained great prominence in recent years. In situations in which ultrasound has low sensitivity, such as maternal obesity, abdominal scarring, and oligohydramnios, MRI has proven to be a safe and accurate method. Regarding fetal abdominal wall defects, MRI appears to be widely used in the prognostic assessment of gastroschisis with intestinal atresia or of complications of omphalocele, allowing better perinatal management and parental counseling. In addition, MRI allows the assessment of local invasion of fetal abdominal tumors, with significant prognostic value for the postnatal period. In this article, we review the main MRI findings in the evaluation of fetal abdominal wall defects and tumors.