cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kftxhnvjgz
title: Colombian Election Campaign on Twitter (2018)

description: Essentially the following data shows features of discourses held on Twitter regarding the last presidential campaign in Colombia (2018) based on the agenda-setting theory. The sample includes 62 Trending Topics and 620 tweets that were selected according to criteria of relevance and influence. A method of systematic content analysis was applied to gather data on sources and contents of messages. Five important findings are highlighted: 1. Traditional mass media were mainly responsible for defining the agenda on Twitter. 2. Within the context of the agenda outlined by the media, it was citizens who monopolized the discussion, thereby playing a key role in topic dissemination, candidates’ visibility, framings, and assessments. 3. The main topic of discussion was the campaign debate itself rather than programmatic measures. 4. No correlation between the positioning and visibility of the candidates in Twitter and the electoral results could be observed. 5. Positive/non-aggressive tones prevailed over negative/aggressive ones.
DOI: 10.6084/m9.figshare.25673469.v2
title: Species References and Range Maps

description: This folder includes the full species list with references and the manually-derived range maps of 80 of the marine aquaculture species without Aquamaps range maps used in the climate dissimilarity analysis for our manuscript.
DOI: 10.6084/m9.figshare.28282832.v2
title: Image Dataset for Predicting Early Dropouts in DigitalLearning Platforms

description: This article presents a student click-stream database comprising of 120542 train images and 80362 test images where each directory contains two sub directories i.e. "Dropouts" and "NonDropouts" as two different classes.The original dataset was provided by KDD Cup Challenge 2015 in which the dataset was provided by chinese MOOC(Massive open online course) platform XuetangX. These samples have been acquired or captured through the clickstream activity/user activity on the platform. We transformed the KDD-Cup 2015 dataset into an image dataset. This transformation will enable the application of novel deep learning and computer vision techniques to develop more sustainable, accurate, and robust predictive models for identifying students at risk of dropping out and will enable MOOC platforms to design highly robust Early Warning Systems. Furthermore, this dataset will be made publicly available to the research community to advance interdisciplinary research at the intersection of education and computer vision.
DOI: 10.6084/m9.figshare.28365233.v1
title: Datasets and R codes

description: Vegetable production constraints, and willingness to adopt sustainable intensification options including black soldier fly, and vegetable-integrated push-pull technology by smallholder farmers in Kenya and Uganda
DOI: 10.6084/m9.figshare.28466663.v2
title: Data from: Going with the flow: leveraging reef-scale hydrodynamics for upscaling larval-based restoration

description: <br>Following the Methods section of the manuscript: "Going with the flow: leveraging reef-scale hydrodynamics for upscaling larval-based restoration"Data are organized into subfolders corresponding to the subsections and are further detailed below:<br><b>Subsection: Model validation approach and assessment of localized current variability</b> <b>Data Subfolder</b>: Model_Drifter_Data Drifter track data as .csv files Particle track data as .csv files and .json files Track analysis data as .csv files <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data .csv file with current velocity data from the tilt current meter (u_f, v_f) and from the nearest model cell (u_m, v_m) For all variables, _f corresponds to the tilt current meter, and _m corresponds to the model.<b>Subsection: Collection phase: predicting coral spawn slicks</b> <b> Data Subfolder</b>: ModellingSlicks_dsp_RasterData Raster files data for each spawning simulation with and without surface wind forcing of 3% The .tiff output of each dispersal simulation was summed in QGIS for each scenario to represent the overall density of particles within the model domain during the 16-hour dispersal timeframe.<br><b>Subsection: Larval delivery phase: predicting the residency of particles over damaged reefs</b> <b>Data Subfolder</b>: ParticlesResidencyOutput_Data Following the workflow detailed at https://doi.org/10.5281/zenodo.14759539 to extract spatio-temporal data of particles within 1 hectare of delivery sites Each .csv file shows spatio-temporal data of all the particles that remained within 1 hectare of a specific delivery location at a specific delivery time and day.<b>Subsection: Larval delivery phase: a posteriori in situ current speed conditions</b> <b>Data Subfolder</b>: Model_TiltCurrentmeter_Data Same dataset as in the first subsection, using tilt current meter data.
DOI: 10.6084/m9.figshare.4483850.v1
title: Supplementary Material for: Test-Retest Reliability of Scotopic and Mesopic Fundus-Controlled Perimetry Using a Modified MAIA (Macular Integrity Assessment) in Normal Eyes

description: <b><i>Purpose:</i></b> To assess the intrasession test-retest reliability of scotopic cyan and scotopic red fundus-controlled perimetry (FCP) in normal subjects using a modified MAIA “microperimeter” (macular integrity assessment) device. <b><i>Methods:</i></b> Forty-seven normal eyes of 30 subjects (aged 33.8 years) underwent duplicate mesopic (achromatic stimuli, 400-800 nm), scotopic cyan (505 nm), and scotopic red (627 nm) FCP, using a grid of 49 stimuli over 14° of the central retina. Test-retest reliability for pointwise sensitivity (PWS), stability of fixation, reaction time and test duration were analyzed using mixed-effects models. <b><i>Results:</i></b> PWS test-retest reliability was good among all 3 types of retinal sensitivity assessments (coefficient of repeatability of 4.75 dB for mesopic, 5.26 dB for scotopic cyan, and 4.06 dB for scotopic red testing). While the mean sensitivity decreased with eccentricity for both mesopic and scotopic red testing, it was highest at 7° eccentricity for the scotopic cyan assessment (p &lt; 0.001). <b><i>Conclusions:</i></b> The modified MAIA device allows for reliable scotopic FCP in normal subjects. Our findings suggest that testing of scotopic cyan sensitivity largely reflects rod function.
DOI: 10.6084/m9.figshare.22752352.v1
title: Studying Between-Subject Differences in Trends and Dynamics: Introducing the Random Coefficients Continuous-Time Latent Curve Model with Structured Residuals

description: The recently proposed <i>continuous-time latent curve model with structured residuals</i> (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle unequally spaced measurement occasions and describes processes independently of the length of the time intervals used in a given study. Third, it is a hierarchical model. Thus, multiple subjects can be analyzed simultaneously. However, subjects might also differ in dynamics and trends. Therefore, in the present paper, we extend the CT-LCM-SR to capture these differences as well. This newly proposed <i>random coefficients continuous-time latent curve model with structured residuals</i> (RC-CT-LCM-SR) is introduced theoretically and technically. Additionally, we provide an illustrative example with data from the Health and Retirement Study (HRS), and we show how the RC-CT-LCM-SR can be used to study multiple sources of between-subject differences over time.
DOI: 10.17632/mksk4tc5yk
title: Nel 2025 Incubation Data

description: Supplementary data for manuscript under review. Includes raw PHREEQC input and output solution chemistry data and statistical comparison analyses examining the effect of cultivation and substrate treatments on oxalotrophy in termite-affected soils.
DOI: 10.6084/m9.figshare.12643403.v1
title: Electrophysiological correlates of focused attention on low- and high-distressed tinnitus.

description: The EEG and behavioural data of patients with chronic tinnitus used in the Plos One publication entitled: Electrophysiological correlates of focused attention on low- and high-distressed tinnitus.<br>
DOI: 10.6084/m9.figshare.28562582.v1
title: Yang Yuantong 研究数据.xlsx

description: 本研究揭示了污水污泥 （SS） 作为退化森林土壤改良剂的双重作用：其丰富的有机质和养分（N 和 P）可以提高土壤肥力，但降雨驱动的地表径流、中间土壤流动和沉积物运输造成的非点源污染的风险很大。通过模拟降雨试验，确定了SS施用（≤6 kg-m-²为生态安全阈值）、降雨频率和土壤孔隙结构变化是调节N和P损失的关键因素，量化了不同损失途径的贡献（例如，壤土中间溪流中TN浓度比地表径流中的TN浓度高6-70倍），并提出了一种基于颗粒富集的新方法（0.25-1 mm沉积物携带总N和P的96.2%在土壤中）。-1 mm 沉积物含磷量 96.2%），并提出了基于颗粒富集效应的精确控制策略，为SS在桉树林等人工林中的可持续应用和流域水质的保护提供了科学依据。
DOI: 10.6084/m9.figshare.8235671.v1
title: Supplementary Material for: Effects of Bardoxolone Methyl on Magnesium in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease

description: <b><i>Background:</i></b> Treatment with bardoxolone methyl (Bard) in a multinational phase 3 trial, Bardoxolone Methyl Evaluation in Patients with Chronic Kidney Disease and Type 2 Diabetes (BEACON), resulted in increases in estimated glomerular filtration rate with concurrent reductions in serum magnesium. We analyzed data from several trials to characterize reductions in magnesium with Bard. <b><i>Methods:</i></b> BEACON randomized patients (<i>n</i> = 2,185) with type 2 diabetes (T2DM) and stage 4 chronic kidney disease (CKD) 1:1 to receive Bard (20 mg) or placebo once daily. In a separate open-label study, magnesium levels from 24-hour urine and sublingual epithelial cell samples were analyzed in patients with stage 3b-4 CKD and T2DM administered 20 mg Bard for 56 consecutive days. <b><i>Results:</i></b> BEACON patients randomized to Bard experienced significant reductions in serum magnesium from baseline relative to patients randomized to placebo (–0.17 mEq/L, 95% CI –0.18 to –0.60 mEq/L; <i>p</i> &lt; 0.001). A separate study showed intracellular and urinary magnesium levels were unchanged with Bard treatment. <b><i>Conclusions:</i></b> Bard treatment results in significant decreases in serum magnesium that are not associated with changes in intracellular and urinary magnesium levels, indicating that magnesium decreases are not due to renal magnesium wasting or total body magnesium depletion. Importantly, the decreases in serum magnesium with Bard are not associated with adverse effects on QT interval.
DOI: 10.6084/m9.figshare.8870095.v1
title: PrimerMap output

description: Files contains results for in-silico PCR<br>
DOI: 10.17632/3bh998k78g
title: GKN Blade Surface Defect Dataset

description: GKN Blade Surface Defect Dataset
DOI: 10.17632/4wpbk2gyt2
title: Maximizing cost savings and clinical outcomes of meropenem_dataset

description: A retrospective observational study was conducted in a tertiary-care private hospital in Saudi Arabia between April 2022 and December 2023. Meropenem utilization was assessed quarterly based on predefined key indicators to evaluate compliance with antimicrobial stewardship guidelines; Q1-2022 served as a baseline for comparison. Consumption was measured in defined daily doses (DDD) per 1,000 patient-days, and cost analysis was performed using Antimicrobial Cost Per Patient Day (ACPD). The main outcome measures included clinical improvement within 72 hours and transfer or discharge in good clinical condition. The data showed significant improvement in several clinical outcome indicators as well as reduction in meropenem cost. 1000
DOI: 10.17632/pm36fhmxyr
title: Image-based deep learning model to predict stoma-site incisional hernia in patients with temporary ileostomy: a retrospective study

description: This code supports the article "Image-based deep learning model to predict stoma-site incisional hernia in patients with temporary ileostomy: a retrospective study" .The weights are also be included.
DOI: 10.17632/z2pf5hzsss
title: STEE and STW database of 40 andean residential buildings

description: The data contained in this database refers to Specific Total Embodied Energy (STEE) and Specific Total Weight (STW) calculations made for 40 buildings in the city of Cuenca-Ecuador, from 1980 to 2022.
DOI: 10.6084/m9.figshare.12362567.v4
title: ODMs_Performance_Analysis

description: This contains the database and codes for “Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data”, which is submitted to International Journal of Geographical Information Science.<br>
DOI: 10.6084/m9.figshare.12739469.v1
title: Survey weights

description: Calculation strategy for survey and population weighting of the data.
DOI: 10.6084/m9.figshare.7927154.v1
title: gVCF_HG02111

description: 1000 Genomes gVCF mapped to hs37d5 for HG02111. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/2bdfjb99k5
title: GTLD: A dataset of tomato leaf diseases

description: The images in the dataset were taken by hand using a DSLR camera and a high-quality cell phone in direct sunshine, with some even taking place beneath the plant's shaded sections. Images of common plant diseases such leaf miner, leaf curl, blight, cutwork infected leaf, leaf spot, and Alternaria were gathered from various tomato cultivation fields. An expert assisted in sorting the randomly selected images. The images were downsized from their original 3096 × 4128 dimensions to 256 × 256. Researchers and students from various backgrounds can train, test, and validate classification algorithms using our suggested dataset.
DOI: 10.17632/y2fw625k5r
title: A dataset of microstructure features and physicochemical properties of soils of the solonetzic complex in 2022 (Caspian lowland)

description: The dataset contains microphotographs of soil thin sections of chestnut soils with varying degrees of severity of the saline process located near the Dzhanybek Research Station of the Institute of Forest Science RAS. Also it contains data on the pH, the grain size distribution, the composition of absorbed bases, the salt composition of soil-water extract and the content of soil organic carbon of these soils.
DOI: 10.6084/m9.figshare.12074109.v2
title: Preliminary experiment-Manapulation check

description: The current dataset is a part of experimental study, which investigates the effect of customer participation on customer satisfaction in the tourism service context. This study employed between-subjects senario-based experimental design. Independt variables (i.e., experiemtal variables) were manipulated at different levels. This dataset contains details on the manipulation check scores reported by subjects.
DOI: 10.6084/m9.figshare.19076762.v1
title: Supplementary Material for: Anxiolytic Effects of Chronic Intranasal Oxytocin on Neural Responses to Threat Are Dose-Frequency Dependent

description: <b><i>Introduction:</i></b> Anxiety disorders are prevalent mental conditions characterized by exaggerated anxious arousal and threat reactivity. Animal and human studies suggest an anxiolytic potential of the neuropeptide oxytocin (OT), yet, while a clinical application will require chronic administration protocols, previous human studies have exclusively focused on single-dose (acute) intranasal OT effects. <b><i>Objective:</i></b> To facilitate the translation of the potential anxiolytic mechanism of OT into clinical application, we determined whether the anxiolytic effects of OT are maintained with repeated (chronic) administration or are influenced by dose frequency and trait anxiety. <b><i>Methods:</i></b> In a pre-registered double-blind randomized placebo-controlled pharmaco-fMRI trial the acute (single dose) as well as chronic effects of two different dose frequencies of OT (OT administered daily for 5 days or every other day) on emotional reactivity were assessed in <i>n</i> = 147 individuals with high versus low trait anxiety (ClinicalTrials.gov ID: NCT03085654). <b><i>Results:</i></b> OT produced valence, dose frequency, and trait anxiety-specific effects, such that the low-frequency (intermittent) chronic dosage specifically attenuated a neural reactivity increase in amygdala-insula-prefrontal circuits observed in the high anxious placebo-treated subjects in response to threatening but not positive stimuli. <b><i>Conclusions:</i></b> The present trial provides the first evidence that low-dose frequency chronic intranasal OT has the potential to alleviate exaggerated neural threat reactivity in subjects with elevated anxiety levels, suggesting a treatment potential for anxiety disorders.
DOI: 10.6084/m9.figshare.23586042.v2
title: Luecken multiome human bone marrow 2021 s4d8 cellular structure

description: Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and chromatin accessibility using the 10X Genomics Single Cell Multiome ATAC + Gene Expression Kit. All files stored in this entry are from sample 4 donor 8 and contain updated/additional objects depending on the preprocessing step applied. <br> The respective raw files can be downloaded here:<br> <strong>File description</strong> <em>s4d8_clustered.h5ad</em>: Clustered and normalized cells by features matrix. This file only includes cells from the sample of site 4, donor 8. Cells that did not pass QC are removed. AnnData object includes raw counts (under .X) and normalized counts (under <em>adata.layers['scran_normalization']</em>). <em>reference_embedding.h5ad</em>: 10-dimensional integrated embedding of the dataset as described above (excluding site 4, donor 8 sample) created by integrating with scVI, using site + donor as the batch variable. <em>gene_info.csv</em>: table listing the genes (in order) used for the scVI integration model, and needed for query-to-reference mapping with scArches <em>model.pt</em>: integration scVI model of the bone marrow reference, needed for query-to-reference mapping with scArches <br> <strong>Citation</strong> Luecken, M. D. <em>et al.</em> A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021). <br> <strong>Original data link</strong> https://openproblems.bio/neurips_docs/data/dataset/
DOI: 10.6084/m9.figshare.25414042.v1
title: SignalFlowEEG Example Data

description: The SignalFlowEEG Example Data dataset contains sample EEG recordings that demonstrate the capabilities and usage of the SignalFlowEEG Python package. This package provides a comprehensive set of tools for processing, analyzing, and visualizing electroencephalography (EEG) data, with a focus on neuroscience research applications.The example dataset includes EEG recordings from various paradigms:Resting-state EEG: A 5-minute recording where the subject relaxed with eyes closed.Auditory chirp stimulation: EEG recorded while the subject listened to chirp sounds with varying frequencies.Visual evoked potentials: EEG recorded as the subject viewed checkerboard pattern stimuli to elicit visual responses.These recordings were collected at the Cincinnati Children's Hospital Medical Center and are made available for educational and testing purposes.SignalFlowEEG builds upon MNE-Python, a popular open-source library for EEG analysis, and offers additional functionality tailored for clinical research workflows. This example dataset allows users to explore SignalFlowEEG's features and gain hands-on experience analyzing EEG data with this powerful Python package.The dataset consists of .set files, a format used by the EEGLAB toolbox. Each file contains raw EEG data, channel info, and event markers for a specific experimental paradigm. Files can be loaded using mne.io.read_raw_eeglab() from MNE-Python, a SignalFlowEEG dependency. The dataset has no missing data or special abbreviations. Channel names and event markers follow standard EEGLAB conventions.
DOI: 10.6084/m9.figshare.27118014.v1
title: Forecasting PV yield in Staro Selo

description: These datasets contain approximately 2 years of hourly data, containing a timestamp, ambient temperature, wind speed, solar radiation, and specific yield of the PV installation.
DOI: 10.17632/dvc5zp98rm
title: Data for: A Hybrid Approach of Adaptive Wavelet Transform, Long Short-Term Memory and ARIMA-GARCH Family Models for the Stock Index Prediction

description: data
DOI: 10.17632/kjy66w8d8m
title: Hydration rate of cement pastes during steam-curing process

description: The hydration rate of Portland cement pastes with different water to cement ratio during initial steam-curing cycle.
DOI: 10.17632/vkv4rn4dzm
title: Exploring the Relationship Between Gaming Disorder and Player Motivation

description: The dataset comprises responses from a study designed to explore the relationship between gaming addiction and motivational factors among Polish gamers. It includes various data points gathered from a diverse sample of participants.

1. Instruments and Validation:
Gaming Addiction Test (GAT): This dataset includes scores from an adapted version of the Internet Addiction Test (IAT) by K. Young, tailored specifically for gaming addiction. The adaptation aligns with Griffiths' Gaming Addiction Criteria, ICD-11 Criteria, and DSM-V criteria. The reliability of this test was assessed using Cronbach's Alpha and McDonald's Omega indicators, ensuring its robustness and consistency in measuring gaming addiction. Motivation to Play Online Games Test: The dataset also contains scores from a modified version of Nick Yee's (2007) Motivation to Play Online Games test. This adaptation measures various motivational factors for gaming, such as escapism, social interaction, and immersion. The reliability of this test was similarly confirmed using Cronbach's Alpha and McDonald's Omega indicators.

2. Participants:
Sample Size: The dataset includes data from 520 Polish participants.
Data Collection Method: Data was collected using an online surveying tool. The survey was distributed through community channels of popular online games, including World of Warcraft, League of Legends, Dota 2, CS:GO, Apex Legends, and Diablo III and IV.

3. Data Points:
Scores: The dataset includes the sums of raw scores and standardized scores (Standard Ten and Z-value) for both the Gaming Addiction Test and the Motivation to Play Online Games test.
Descriptive Statistics: Required demographic information is provided, including participants' age, gender, and gaming habits (online vs. offline gaming). Gender was self-identified within four categories: man, woman, other (specify), and prefer not to tell. However, for this study, the descriptors were consolidated to Male and Female, as none of the 520 participants selected 'other' or 'prefer not to tell'.

4. Reliability Indicators:
Cronbach's Alpha and McDonald's Omega: These indicators are included in the dataset to validate the internal consistency and reliability of the adapted psychometric tests.

5. Survey Distribution:
Community Channels: The survey was disseminated through various online platforms and community channels associated with popular games.
DOI: 10.6084/m9.figshare.12955064.v1
title: Complete list of 68 articles reviewed for analysis of pornography and pleasure

description: Complete list of 68 articles analysed for Systematic Literature Review on relationship between consumption of pornography and capacity and experience of sexual pleasure.
DOI: 10.6084/m9.figshare.25224737.v1
title: Chromosome-level genome assembly of <i>Euphorbia tirucalli</i> (Euphorbiaceae), a highly stress-tolerant oil plant

description: This is an genome annotation file for the chromosome-level genome assembly of <i>Euphorbia tirucalli</i>, a highly stress-tolerant oil plant.