cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28558202.v1
title: Supplementary Material for: Ipsilateral, Multi-Phasic Retinal Vascular Events Following Intralesional Triamcinolone Acetonide Injection for Earlobe Keloid: A Case Report

description: Introduction: Intralesional triamcinolone acetonide is a widely used treatment for scarring skin conditions such as keloid and is known to have retinal vascular complications if administered in the periocular region.
Case Presentation: A 32-year-old female experienced a prompt onset transient vision decrease and a delayed onset, slow-resolving vison loss in the right eye (OD) following the last of a series of triamcinolone acetonide corticosteroid (TAC) injections in her right earlobe for a disfiguring keloid. Clinically, she developed a branch retinal arterial occlusion (BRAO) accompanied by features of a central retinal vein occlusion (CRVO). The TAC particles that entered the retinal circulation are implicated in the thrombo-embolic occlusion of the branch retinal artery and subsequent blockage of the central retinal vein. 
Conclusion: This case should alert clinicians that there is always a potential hazard for retinal vascular occlusion when corticosteroid is injected in the region of the head and face because of the rich anastomoses between the external and internal carotid artery circulations.
DOI: 10.6084/m9.figshare.28776470.v1
title: improved canopy height

description: The airborne LiDAR data was used as a reference to improve the canopy height products derived from the spaceborne LiDAR systems GEDI and ICESat-2. In the dataset, the attribute "predicted" represents the improved canopy height.The data within the airborne LiDAR coverage have been validated and evaluated. However, for the other datasets, their broader spatial extent may be affected by the representativeness and spatial distribution of the samples.
DOI: 10.6084/m9.figshare.3153409.v3
title: MAMEM EEG SSVEP Dataset II (256 channels, 11 subjects, 5 frequencies presented simultaneously)

description: EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals.<br>Check <b>https://github.com/MAMEM/ssvep-eeg-processing-toolbox </b>for the processing toolbox.
DOI: 10.17632/m2t49zf6xr
title: RENFAST algorithm dataset

description: This repository contains the image dataset and the manual annotations used in the following work: Salvi M., Mogetta A., Meiburger K. M., Gambella A., Molinaro L., Barreca A., Papotti M., and Molinari F., "Karpinski Score under digital investigation: a fully automated segmentation algorithm to identify vascular and stromal injury of donors’ kidneys", Electronics 2020 ABSTRACT In kidney transplantations, the evaluation of the vascular structures and stromal areas is crucial for determining kidney acceptance, which is currently based on the pathologist’s visual evaluation. In this context, an accurate assessment of the vascular and stromal injury is fundamental to assessing the nephron status. In the present paper, the authors present a fully automated algorithm, called RENFAST (Rapid EvaluatioN of Fibrosis And vesselS Thickness), for the segmentation of kidney blood vessels and fibrosis in histopathological images. The proposed method employs a novel strategy based on deep learning to accurately segment blood vessels, while interstitial fibrosis is assessed using an adaptive stain separation method. The RENFAST algorithm is developed and tested on 350 periodic acid–Schiff (PAS) images for blood vessel segmentation and on 300 Massone’s trichrome (TRIC) stained images for the detection of renal fibrosis. In the TEST set, the algorithm exhibits excellent segmentation performance in both blood vessels (accuracy: 0.8936) and fibrosis (accuracy: 0.9227) and outperforms all the compared methods. To the best of our knowledge, the RENFAST algorithm is the first fully automated method capable of detecting both blood vessels and fibrosis in digital histological images. Being very fast (average computational time 2.91 s), this algorithm paves the way for automated, quantitative, and real-time kidney graft assessments.
DOI: 10.17632/npdwbmb7d7
title: A Novel Optimization-Based Tool to Automate Infeasible Cycle-Free Gapfilling of Genome-Scale Metabolic Models, Schroeder and Saha

description: Dataset related to the paper of the same title submitted for publication in the journal iScience. The abstract is as follows.
DOI: 10.6084/m9.figshare.26169085.v1
title: CARE-checklist.docx

description: case report
DOI: 10.6084/m9.figshare.27107545.v1
title: Auxiliary Tables.xlsx

description: The auxiliary tables for "Genome-wide and phenome-wide studies provided novel insights into brain glymphatic system function and its clinical associations".
DOI: 10.6084/m9.figshare.4747651.v1
title: Supplementary Material for: Proteomic Investigation of the Hippocampus in Prenatally Stressed Mice Implicates Changes in Membrane Trafficking, Cytoskeletal, and Metabolic Function

description: Prenatal stress influences the development of the fetal brain and so contributes to the risk of the development of psychiatric disorders in later life. The hippocampus is particularly sensitive to prenatal stress, and robust abnormalities have been described in the hippocampus in schizophrenia and depression. The aim of this study was to determine whether prenatal stress is associated with distinct patterns of differential protein expression in the hippocampus using a validated mouse model. We therefore performed a comparative proteomic study assessing female hippocampal samples from 8 prenatally stressed mice and 8 control mice. Differential protein expression was assessed using 2-dimensional difference in gel electrophoresis and subsequent mass spectrometry. The observed changes in a selected group of differentially expressed proteins were confirmed by Western blotting. In comparison to controls, 47 protein spots (38 individual proteins) were found to be differentially expressed in the hippocampus of prenatally stressed mice. Functional grouping of these proteins revealed that prenatal stress influenced the expression of proteins involved in brain development, cytoskeletal composition, stress response, and energy metabolism. Western blotting was utilized to validate the changes in calretinin, hippocalcin, profilin-1 and the signal-transducing adaptor molecule STAM1. Septin-5 could not be validated via Western blotting due to methodological issues. Closer investigation of the validated proteins also pointed to an interesting role for membrane trafficking deficits mediated by prenatal stress. Our findings demonstrate that prenatal stress leads to altered hippocampal protein expression, implicating numerous molecular pathways that may provide new targets for psychotropic drug development.
DOI: 10.6084/m9.figshare.5513548.v5
title: Additional data for involved analysis

description: The item contains necessary data to reproduce analytical results in the manuscript.
DOI: 10.6084/m9.figshare.28696565.v1
title: Genome annotation (repeats and protein-coding genes)

description: Genome annotation (repeats and protein-coding genes)
DOI: 10.6084/m9.figshare.29107565.v1
title: date.zip

description: This data is used for the divisional Seru scheduling problem
DOI: 10.17632/cdbhzm5twf
title: Halal Tourism Tweets: Dataset for sentiment Analysis

description: This dataset contains 1,587,808 Halal tourism related tweets from 2006 to 2021. User identification information are removed to maintain data privacy.  The data was collected using the Twitter Academic API. 

The data is stored in as a RDS file (R Programing Language file), where each line represents a tweet. The RDS file provides information on the following fields:
lang: language of the tweet
text: the full content of the tweet
created_at: the publication date of the tweet
location: the country of the author of the tweet
DOI: 10.6084/m9.figshare.17294069.v1
title: E-Chars74k Dataset

description: E-Chars74k is an extended version of Chars74k dataset. The actual fundamental idea to prepare E-Chars74k dataset is first Chars74k dataset are divided into two i.e training (80%) and test (20%). Only training data has been enlarged by 18 different augmentation techniques. The total numbers of data present in E-Chars74k dataset is 1,92,558.
DOI: 10.6084/m9.figshare.17694767.v1
title: Survey Data

description: The data provide information about awareness of and interaction with physician rating websites in Austria.
DOI: 10.6084/m9.figshare.27623715.v1
title: CETD, a global compound events detection and visualisation toolbox and dataset

description: Compound events (CEs) are attracting increased attention due to their significant societal and ecological impacts. However, their inherent complexity can pose challenges for climate scientists and practitioners, highlighting the need for a more approachable and intuitive framework for detecting and visualising CEs. Here, we introduce the Compound Events Toolbox and Dataset (CETD), which provides the first integrated, interactive, and extensible platform for CE detection and visualisation. Employing observations, reanalysis, and model simulations, CETD can quantify the frequency, duration, and severity of multiple CE types: multivariate, sequential, and concurrent events. It can analyse CEs often linked to severe impacts on human health, wildfires, and air pollution, such as hot-dry, wet-windy, and hot-dry-stagnation events. To validate the performance of CETD, we conduct statistical analyses for several high-impact events, such as the 2019 Australian wildfires and the 2022 European heatwaves. The accessibility and extensibility of CETD will benefit the broader community by enabling them to better understand and prepare for the risks and challenges posed by CEs in a warming world.
DOI: 10.6084/m9.figshare.28017122.v1
title: 3_Inputs

description: Model inputs for metabolism estimation in Rodeles et al. (2025). Predicting river ecosystem metabolism across large environmental gradients: drivers and temporal dependencies in the Iberian Peninsula.
DOI: 10.6084/m9.figshare.28260029.v1
title: Sample Datasets For VR-Omics Cross Platform Comparison (Update)

description: Sample datasets based on and processed using the VR-Omics AW to be visualised in VR-Omics including:S1R1, S1R2, S1R3 from the "MERFISH Mouse Brain Receptor Map" (https://info.vizgen.com/mouse-brain-map)SS200000135TL_D1.tissue.gef from the "Stereopy Demo Data" (http://116.6.21.110:8090/share/dd965cba-7c1f-40b2-a275-0150890e005f)SS15 - Zebrafish Junker et al. Cell, https://www.sciencedirect.com/science/article/pii/S0092867414012264Mouse Brain Section (Coronal)" dataset (https://www.10xgenomics.com/resources/datasets/mouse-brain-section-coronal-1-standard)Mouse Brain Serial Section 2 (Sagittal-Anterior) (https://www.10xgenomics.com/datasets/mouse-brain-serial-section-2-sagittal-anterior-1-standard)Mouse Brain Serial Section 2 (Sagittal-Posterior) (https://www.10xgenomics.com/datasets/mouse-brain-serial-section-2-sagittal-posterior-1-standard)Replicate 1, Replicate 2, Replicate 3 from the "Fresh Frozen Mouse Brain Replicates" (https://www.10xgenomics.com/resources/datasets/fresh-frozen-mouse-brain-replicates-1-standard)Lung5_Rep 2 from (https://nanostring.com/resources/smi-ffpe-dataset-lung5-rep2-data/)<br>
DOI: 10.17632/s46hxyhzwx
title: Survey data on Strategic alignment in multispecialty hospitals: Implementing a balanced scorecard approach for optimal performance

description: The data were collected using a structured questionnaire distributed online and in person. The questionnaire, derived from existing BSC and OP literature, covered demographics, BSC perspectives, and OP metrics. Respondents were purposively sampled from multispecialty hospitals, targeting managers and department heads. Data were analyzed using SPSS (IBM SPSS Statistics 26). Inclusion criteria were managers with over a year of experience in their roles; exclusion criteria were incomplete responses. Data normalization involved standardizing responses for consistency.
DOI: 10.6084/m9.figshare.10689188.v1
title: Source data for Vjestica et al., 2019 - A toolbox of Stable Integration Vectors (SIV) in the fission yeast Schizosaccharomyces pombe. Journal of Cell Science

description: Source Data<br>
DOI: 10.6084/m9.figshare.14546301.v1
title: China’s monthly SO2 emissions during COVID-19 in 2020

description: China’s monthly SO2 emissions by source sector and by province
DOI: 10.6084/m9.figshare.14564493.v1
title: Supplementary Material for: Risk of Infection after Deep Brain Stimulation Surgery with Externalization and Local-Field Potential Recordings: Twelve-Year Experience from a Single Institution

description: <b><i>Introduction:</i></b> Deep brain stimulation (DBS) has been an established surgical procedure in the field of functional neurosurgery for many years. The experimental electrophysiological method of local field potential (LFP) recordings in postsurgically externalized patients has made substantial contributions to the better understanding of pathophysiologies underlying movement disorders. As interest in LFP recordings for the development of improved stimulation strategies increases, this study’s aim was to provide evidence concerning safety of this research method, in a major DBS center. <b><i>Methods:</i></b> We retrospectively analyzed incidence and infection characteristics in adult patients who underwent two-staged DBS surgery with temporary externalization of leads in our center between January 2008 and November 2019. We focused on whether patients had participated in LFP recordings, and evaluated incidence of infections at 3 months and 1 year after the surgery based on medical records. Infection rates were compared to major DBS studies and reports focusing on the risk of infection due to externalization of DBS leads. Results were visualized using descriptive statistics. <b><i>Results:</i></b> Between January 2008 and November 2019, DBS surgery was performed in 528 patients (389/139 patients in the LFP/non-LFP group), mainly for movement disorders such as Parkinson’s disease (308), dystonia (93), and essential tremor (86). Of the patients, 72.9% participated in LFP recordings. The incidence of infections in the acute postsurgical phase (3 months) was 2.46% and did not differ significantly between the LFP group (1.8%) and the non-LFP group (4.32%). The overall incidence after 1 year amounted to 3.6% (19 patients) with no difference between LFP/non-LFP groups. Incidence rates reported in the literature show a large variety (2.6–10%), and the incidence reported here is within the lower range of reported incidences. <b><i>Discussion/Conclusion:</i></b> This study demonstrates that DBS is a surgical procedure with a low risk of infection in a large patient cohort. Importantly, it shows that LFP recordings do not have a significant effect on the incidence of infections in patients with externalization. With a representative cohort of more than 380 patients participating in LFP-recordings, this underlines LFP as a safe method in research and supports further use of this method, for example, for the development of adaptive stimulation protocols.
DOI: 10.6084/m9.figshare.19915114.v1
title: T2-weighted imaging hypointensity in an ovarian lesion: is it a benign finding?

description: ABSTRACT Objective To evaluate whether the presence of a hypointense signal at T2-weighted imaging in a solid ovarian lesion on magnetic resonance imaging is a predictor of stability and benignity. Methods This is a single center study, prospectively read with retrospective acquired data. The database was searched for patients who underwent magnetic resonance imaging between January 2008 and October 2019 and whose reports mentioned solid ovarian lesions with low signal on T2-weighted imaging. A total of 47 nodules were included. A radiologist who was blinded to the clinical indication for magnetic resonance imaging and original reports evaluated the cases. Objective and subjective criteria of ovarian lesions in magnetic resonance imaging were evaluated. Results Thirty-five nodules were considered benign/stable and 12 were considered non-stable. The analysis showed that the non-stable lesions showed statistically more hyperintensity at T1-weighted imaging compared to the stable lesions. Conclusion T2-weighted imaging hypointensity can be considered a predictor of stability in solid ovarian lesions when associated with iso/hypointensity in T1-weighted imaging.
DOI: 10.6084/m9.figshare.20419434.v1
title: Sample Student Data

description: In "Sample Student Data", there are 6 sheets. There are three sheets with sample datasets, one for each of the three different exercise protocols described (CrP Sample Dataset, Glycolytic Dataset, Oxidative Dataset). Additionally, there are three sheets with sample graphs created using one of the three datasets (CrP Sample Graph, Glycolytic Graph, Oxidative Graph). Each dataset and graph pairs are from different subjects. · CrP Sample Dataset and CrP Sample Graph: This is an example of a dataset and graph created from an exercise protocol designed to stress the creatine phosphate system. Here, the subject was a track and field athlete who threw the shot put for the DeSales University track team. The NIRS monitor was placed on the right triceps muscle, and the student threw the shot put six times with a minute rest in between throws. Data was collected telemetrically by the NIRS device and then downloaded after the student had completed the protocol. · Glycolytic Dataset and Glycolytic Graph: This is an example of a dataset and graph created from an exercise protocol designed to stress the glycolytic energy system. In this example, the subject performed continuous squat jumps for 30 seconds, followed by a 90 second rest period, for a total of three exercise bouts. The NIRS monitor was place on the left gastrocnemius muscle. Here again, data was collected telemetrically by the NIRS device and then downloaded after he had completed the protocol. · Oxidative Dataset and Oxidative Graph: In this example, the dataset and graph are from an exercise protocol designed to stress the oxidative system. Here, the student held a sustained, light-intensity, isometric biceps contraction (pushing against a table). The NIRS monitor was attached to the left biceps muscle belly. Here, data was collected by a student observing the SmO2 values displayed on a secondary device; specifically, a smartphone with the IPSensorMan APP displaying data. The recorder student observed and recorded the data on an Excel Spreadsheet, and marked the times that exercise began and ended on the Spreadsheet.
DOI: 10.6084/m9.figshare.24216234.v1
title: Weedy rice project

description: we used genotyping-by-sequencing to generate genome-wide single nucleotide polymorphisms (SNPs) and compared Argentinian weedy rice with whole-genome data from strains, rice cultivars and wild rice accessions from regions worldwide. In addition, we conducted a comprehensive seed and phenological characterization, and performed an herbicide resistance screening, considering mutations in the <i>ALS</i> gene observed in the Argentinian weedy rice collection
DOI: 10.6084/m9.figshare.25703217.v1
title: Geographic pattern of ungulate abundance across African savannah is shaped by species interactions

description: Density data collection and dataset underlying the study "The role of species interactions in shaping the geographic pattern of ungulate abundance across African savannah"
DOI: 10.6084/m9.figshare.28903619.v1
title: Effect of variable initial salt concentration: Evaporation and precipitation characteristics

description: Evaporation rate and salt precipitation data: Variable initial salt concentration load
DOI: 10.17632/dhby4rysnk
title: Data for: Sedimentology and Geochemistry of Carbonate Bearing-Argillites on the Southeastern Flank of Mount Cameroon (Likomba) and relationship with the Cameroon Volcanic Line (CVL).

description: Elemental Concentrations of the Measured Oxides Matrix of Pearson’s correlation coefficients of major elements in the carbonate-bearing argillites of Likomba. Varimax rotated of factor matrix (two factor model) of major elements in the carbonate-argillites of Likomba Insoluble Residue and Moisture content expressed as weight percent
DOI: 10.6084/m9.figshare.14420756.v2
title: Dataset of gait analysis data of hip osteoarthritis patients before and 6 month after arthroplasty and asymptomatic volunteers

description: This project aim to share movement C3D files of locomotion data recorded by a 3D motion analysis system. We used the Plugin Gait model in both unilateral end-stage Hip Osteoarthritis patients and control volunteers. Patients' data were gathered one month before surgery and 6 months after. This dataset could lead to increase the sample size of similar datasets, analyse the effect of Hip Osteoarthritis on human gait, or conduce unusual analysis of gait thanks to the full body markerset used.<br>A complete description of the volunteers can be found on figshare ID(13655975) at https://doi.org/10.6084/m9.figshare.13655975.v9Complete dataset of C3D files for OsteoArthritis Patients can be found on figshare ID(14420645) at https://doi.org/10.6084/m9.figshare.14420645.v2Complete dataset of C3D files or healthy volunteers can be found on figshare ID(14420756) at https://doi.org/10.6084/m9.figshare.14420756.v2 <br>Arff files could also be downloaded on figshare (https://doi.org/10.6084/m9.figshare.15022827.v1 and https://doi.org/10.6084/m9.figshare.13656233.v4) with label details here (https://doi.org/10.6084/m9.figshare.13656047.v3)