cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29039702.v1
title: Glucagon-like peptide-1 receptor agonists, inflammation, and kidney diseases: evidence from Mendelian randomization

description: It has been proved that glucagon-like peptide-1 receptor (GLP1R) agonists have positive effects on renal outcomes in diabetic patients. However, it remains unknown whether GLP1R agonists could provide similar protection against other kidney diseases. We performed two-sample Mendelian randomization (MR) analyses to determine the causal effects of GLP1R agonists on multiple kidney diseases. Exposure to GLP1R agonist was proxied by the available cis-eQTLs for GLP1R. Primary outcomes included the risk assessment for diabetic nephropathy, IgA nephropathy, membranous nephropathy, nephrotic syndrome, chronic kidney disease, acute glomerulonephritis, chronic glomerulonephritis and calculus of kidney/ureter. Type 2 diabetes and body mass index were used as positive control. Two-stage network MR analyses were conducted to assess the mediation effect of inflammatory proteins on the relationships between GLP1R agonists and kidney diseases. After meta-analyses of both discovery and validation cohorts, genetically proxied GLP1R agonist was found to significantly associated with a decreased risk of diabetic nephropathy (OR = 0.72, 95%CI = 0.54–0.97, <i>p</i> = 0.031) and IgA nephropathy (OR = 0.58, 95%CI = 0.36–0.94, <i>p</i> = 0.027). Two-stage network MR revealed that there was an indirect effect of GLP1R agonist on IgA nephropathy through signaling lymphocytic activation molecule family member 1 (SLAMF1), with a mediated proportion of 34.27% (95% CI, 1.47–67.03%, <i>p</i> = 0.041) of the total effect. The findings of current study presented genetic proof for the potential protective effects of GLP1R agonists in the development of diabetic nephropathy and IgA nephropathy, offering a novel sight for future mechanistic and clinical applications.
DOI: 10.6084/m9.figshare.6099947.v4
title: Efficient dummy generation for considering obstacles and protecting user location

description: This is a file that was uploaded for paper review.
DOI: 10.17632/jgt7k46yb6
title: Data for: Investigation on the mechanism of surface structure formation during laser remelting with modulated laser power on tool steel H11

description: This zip-file contains supplemental material regarding high speed videos and results from FEM modelling. Further instructions can be found in the readme file and in the corresponding protocols.
DOI: 10.6084/m9.figshare.12811799.v2
title: Face shape GWAS summary statistics

description: Summary statistics for pruned sets of SNPs for each face segment GWAS, used as input to S-LDSC and Spearman correlation calculations.
DOI: 10.6084/m9.figshare.26078788.v2
title: <b>World Terrestrial Ecosystems 2015 to 2050 Comparison Project Data</b>

description: This ZIP archive contains rasters (global extent, 1km resolution, Cloud Optimized GeoTiff format) for a new version of 2015 World Terrestrial Ecosystems (WTEs), SSP-based projections of future WTEs for 2050, and raster datasets that present the types of change. Additionally, we include the new input datasets for this WTE model, which allow the comparisons of land cover and climate regions to be made. The inventory of layers in this group is as follows:Version 2 of 2015 WTEs comparable to three SSP ensemble WTE .tifs for 2050 for SSP126, 370, and 585.Four land cover input .tifs derived from Chen et al. (2022) that correspond to each of the above WTE layersFour climate region .tifs derived from CHELSA climatologies that correspond to each of the above WTE layersThree Change Type .tifs that show locations by type of change (temperature, aridity, or land cover) from 2015 to 2050.One .tif with the combinations of changes that enable a custom graphic in online maps to describe the types of change in each location.15 .tifs, one for each combination of GCM and SSP, based on the CHELSA and Chen et al. sources.<br>
DOI: 10.6084/m9.figshare.29137562.v1
title: GERD_Master_Data.sav

description: In this experiment, we aimed to assess the postural function of the diaphragm using high-resolution manometry (HRM), which allowed us to evaluate the specific strength of the crural diaphragm in real time.
DOI: 10.17632/y64c95bghv
title: Software for: Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle

description: MetapopPy is a Python library designed to aid the creation of metapopulation-based models. TBMetapopPy extends this framework to create models that simulate a tuberculosis (TB) infection within the alveolar tissue of the lung and the associated lymphatics. Both libraries are divided into 3 sections: Environment (the terrain on which the simulation occurs - a metapopulation network of patches and edges, with each patch contain subpopulations and environmental attributes), Events (Gillespie Algorithm-based reactions which determine the dynamics of interactions between the subpopulation compartments and their environment) and Model (which joins the Environment with the Events).
DOI: 10.6084/m9.figshare.10084610.v1
title: hgcA-profile

description: hgcA HMM profile for searching for putative hgcA hits in genomes
DOI: 10.6084/m9.figshare.3524378.v1
title: Appendix A. A table showing annual seedfall for 108 species from Barro Colorado Island, Panama.

description: A table showing annual seedfall for 108 species from Barro Colorado Island, Panama.
DOI: 10.6084/m9.figshare.9872786.v1
title: Comparing crossing hazard rate functions by joint modelling of survival and longitudinal data

description: It is one of the important issues in survival analysis to compare two hazard rate functions to evaluate treatment effect. It is quite common that the two hazard rate functions cross each other at one or more unknown time points, representing temporal changes of the treatment effect. In certain applications, besides survival data, we also have related longitudinal data available regarding some time-dependent covariates. In such cases, a joint model that accommodates both types of data can allow us to infer the association between the survival and longitudinal data and to assess the treatment effect better. In this paper, we propose a modelling approach for comparing two crossing hazard rate functions by joint modelling survival and longitudinal data. Maximum likelihood estimation is used in estimating the parameters of the proposed joint model using the EM algorithm. Asymptotic properties of the maximum likelihood estimators are studied. To illustrate the virtues of the proposed method, we compare the performance of the proposed method with several existing methods in a simulation study. Our proposed method is also demonstrated using a real dataset obtained from an HIV clinical trial.
DOI: 10.15468/dl.8r7387
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((11.7957 -6.2886,12.3365 -7.1504,17.9648 -7.1504,17.9648 1.8496,9.1702 1.8496,8.9648 1.4824,8.9648 -2.2147,9.212 -2.6876,11.2887 -4.7775,11.6694 -5.4096,11.7957 -6.2886))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013288-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.13677460.v1
title: ILORA v1.0 data

description: We curated data for 14 variables related to ecology, biogeography, introduction history, socio-economy and environmental niche of 1747 alien vascular plant species from 22 national and global sources to produce the Indian Alien Flora Information (ILORA) version 1.0 database. <br>The database, first of its kind for the Indian alien flora, will give inclusive and easy access to high quality data, offer a ready reference to comprehend the existing scenario of alien plant species in the country and provide opportunity to identify, scrutinize and prioritize the management of these species. The database is dynamic and will be continuously updated with the availability of new data. It has provision for bidirectional information exchange with the users which will allow expansion of the resolution and capacity of the database. All data will be associated with the source information and ILORA will encourage users to refer to the primary sources to give the contributors full credit and acknowledgement. <br>The database is, therefore, envisaged to become a nationwide collaborative platform for a wide spectrum of stakeholders involving the scientific community, citizens, and policymakers. ILORA is freely accessible through a dedicated website (https://ilora2020.wixsite.com/ilora2020).<br>
DOI: 10.17632/k7rw536m4x
title: Data for: Salinity-controlled isomerization of lacustrine brGDGTs impacts the associated MBT′5ME terrestrial temperature index

description: 1. Environmental data and GDGT data for global lakes; 2. GDGT data for a 18-ka sediment core of Lake Qinghai, China.
DOI: 10.17632/xd6ymfcdgh
title: Fauzi et al_CA8 western blot
DOI: 10.6084/m9.figshare.11945454.v1
title: Additional file 7 of Multiplexed capture of spatial configuration and temporal dynamics of locus-specific 3D chromatin by biotinylated dCas9

description: Additional file 7:Table S6. List of identified promoter-centric chromatin interactions in G1ER cells. The lists of locus-specific interactions identified by multiplexed CAPTURE-3C-seq analysis of 22 activated and 20 repressed promoters are shown. Results compiled from two or three independent CAPTURE-3C-seq experiments are shown.
DOI: 10.6084/m9.figshare.14448003.v1
title: Common genetic variants associated with obesity in an African American and Hispanic Latino population.xlsx

description: We examined data from 534 African Americans and 557 Hispanic/Latinos participants from the UIC Cohort of Patients, Family and Friends and genotyped enrolled participants for the top 26 obesity-associated SNPs.
DOI: 10.6084/m9.figshare.24716481.v3
title: WADISC: Annual Impervious Surface Data for Ghana, Togo, Benin, and Nigeria from 2001 – 2020

description: Rapid urbanization in most African countries is increasing impervious surfaces, including building roofs, glass, concrete, asphalt, and paved roads. However, regionally consistent urban data are lacking to support large-scale research and assessment of impervious surface expansion and its impacts on urban heat islands, hydrology and flood risk, infectious disease risk, cropland and biodiversity loss, habitat fragmentation, and carbon sequestration. The West Africa Dataset of Impervious Surface Change (WADISC) uses all available Landsat data to map urban change in Ghana, Togo, Benin, and Nigeria. The approach combines machine learning algorithm with LandTrendr time series analysis to generate annual maps of urban impervious surface cover from 2001 - 2020. The overall mean absolute error was less than 6% cover and the root mean squared error was less than 10% cover, giving us confidence that the predictions can effectively distinguish areas with high versus low impervious cover. We further classified the impervious cover into developed (pixel value is greater than 20%) and undeveloped (pixel value is less than or equal to 20%) with 93% overall accuracy and approximately similar producer (79%) and user (80%) accuracies in developed areas. WADISC is available in two forms: 1) continuous impervious cover with values ranging from 0% – 100% and 2) Developed area classification with pixel values of 1 and 0, representing the presence and absence of developed area. These data can support consistent city, national and regional assessments and research on urbanization and its impacts.WADISC_Impervious.zip contains GeoTIFF files with continuous impervious cover data from 2001-2020.WADISC_Developed.zip contains GeoTIFF files with classified developed area data from 2001-2020.
DOI: 10.6084/m9.figshare.27310551.v1
title: TriNetX output - 09/06/2024, from study: Infertility outcomes in valproate exposed and unexposed men with epilepsy or bipolar disorder: an international cohort study of real-world healthcare data

description: TriNetX outputs from the original submission searches undertaken on 09/06/2024.
DOI: 10.17632/sz5558wrd4
title: Bangla Multilabel Cyberbully, Sexual Harrasment, Threat and Spam Detection Dataset

description: Dataset Overview
The Bangla Multilabel Cyberbully, Sexual Harassment, Threat, and Spam Detection Dataset is designed to facilitate the development of machine learning models to detect and classify various types of abusive content in Bangla social media text. This dataset contains a collection of comments annotated for multiple types of abuse, making it suitable for multilabel classification tasks. It aims to support research and development in natural language processing (NLP) to enhance online safety and moderate harmful content on Bangla language social media platforms.

Purpose
1. Train and evaluate machine learning models for detection of cyberbullying, sexual harassment, religious hate speech, threats, and spam in Bangla comments.
2. Support research in NLP and machine learning focused on Bangla, a low-resource language.
3. Aid in developing automated moderation systems for social media platforms to ensure safe and respectful communication.

Data Collection
Initially, we collected around 30,000 comments from social media platforms like Facebook and TikTok. These comments were in Bangla, English, and Banglish (Bangla written using English characters). Since our research focuses on Bangla abusive text detection, we refined the dataset through the following steps:

1. We filtered out all comments written in English to focus on the Bangla text.
2. To ensure data quality, We eliminated duplicate entries and rows with missing or null values.
3. We removed any remaining English characters and both Bangla and English numerical values to ensure the analysis was based solely on Bangla text.

After these steps, we obtained a final dataset of 12,557 comments. Each comment was manually labeled into five classes: bully, sexual, religious, threat, and spam. This dataset supports multi-class labeling, meaning a comment can simultaneously belong to more than one class.

Dataset Columns
1. Gender: Indicates the gender of the person who received the bullying.
2. Profession: Indicates the profession of the person who received the bullying. 
3. Comment: Contains the text of the comment in Bangla. 
4. Bully: Binary label indicating whether the comment contains bullying content. (0 for no, 1 for yes)
5. Sexual: Binary label indicating whether the comment contains sexual harassment content. (0 for no, 1 for yes)
6. Religious: Binary label indicating whether the comment contains religious hate speech. (0 for no, 1 for yes)
7. Threat: Binary label indicating whether the comment contains threats. (0 for no, 1 for yes)
8. Spam: Binary label indicating whether the comment is considered spam. (0 for no, 1 for yes)

Applications
1. Training and testing machine learning models for multilabel classification.
2. Research on natural language processing (NLP) and cyberbullying detection in low-resource languages like Bangla.
3. Developing automated systems for monitoring and moderating online content on social media platforms to ensure safe and respectful communication.
DOI: 10.17632/vz6z64nwby
title: WaterHyacinth: A Comprehensive Image Dataset of Various Water Hyacinth Species From Different Regions of Bangladesh.

description: The newly created dataset "WaterHyacinth" contains information on numerous kinds of water hyacinth that are often found in different parts of Bangladesh. There are four different species of water hyacinth represented in this dataset. Lemna minor, Eichornia crassipes, Monochoria korsakowii, and Pistia stratiotes are the four separate species. There are 1,790 original images in the entire collection. We gathered these photographs over a period of three months, from July 2023 to September 2023, from separate locations of Sirajganj and Pabna zilla under a variety of outdoor lighting situations as well as inside lighting with acceptable backgrounds. The file also includes 4,050 extra augmented photos. This extensive dataset offers enormous potential for researchers to contribute to environmental science, aquatic science, remote sensing, and water condition monitoring using different Machine Learning and Deep Learning techniques. It is an invaluable asset for future work, including remote sensing with satellite imagery, managing water quality, and conserving biodiversity domains.
DOI: 10.6084/m9.figshare.22825775.v1
title: BASE DE DATOS PRECIO ADIDAS 2023.pdf

description: Recopilación de precios de todas las zapatillas adidas disponibles en la web de España en fecha de mayo del 2023.
DOI: 10.6084/m9.figshare.28551134.v1
title: Land use intensity dominates vegetation cover change in arid areas of China

description: Xinjiang, as the core area of the ecological security barrier in northwest China, is also one of the sensitive areas to global change. In the past two decades, the vegetation cover in Xinjiang has been undergoing changes due to the dual impacts of climate change and human activities. However, research distinguishing changes in vegetation cover across multiple types over long time spans is still insufficient. Based on MODIS-NDVI data and combined with terrain, climate, soil water content and anthropogenic activities data, this study explores the spatiotemporal changes in vegetation cover in Xinjiang from 2000 to 2020 and its driving factors using statistical methods such as geographic detectors. The results show that (1) Vegetation cover accounts for about 25% of the area, with NDVI values above 0.2, showing higher values in the northeast and lower values in the southwest; (2) The averaged annual maximum NDVI increasing at a rate of 0.0336 yr<sup>-1</sup>, with significant improvement observed in 33.72% of the area and significant degradation in 5.49%; (3) The anthropogenic activities were the primary driving factors for spatiotemporal variation of NDVI, followed by soil water content, climate and terrain. The findings of this study can provide data support and scientific basis for achieving the “dual carbon” goal, formulating effective land management and vegetation restoration strategies, and coping with climate change.
DOI: 10.6084/m9.figshare.12073833.v1
title: Trichogramma brassicae hybrid genome annotation file

description: The genome and annotation files for a hybrid <i>Trichogramma brassicae</i> genome, soon to be published in manuscript and already available at the ENA under BioProject PRJEB35413 https://www.ebi.ac.uk/ena/data/view/PRJEB35413. Due to technical issues related to the ongoing COVID-19 crisis in numerous countries and particularly the UK, we are currently unable to update the genome annotation with proper gene names. Therefore, we are sharing the annotation (.gff) file in the intermediate time until we can update the annotation properly.
DOI: 10.6084/m9.figshare.27303741.v1
title: Identifying and Assessing Physiological Biomarkers for Food and Energy Intake: A Systematic Review with Meta-Analysis Protocol

description: Extended data for 'Identifying and Assessing Physiological Biomarkers for Food and Energy Intake: A Systematic Review with Meta-Analysis Protocol'.
DOI: 10.6084/m9.figshare.4004415.v2
title: Messy Data Lesson

description: Messy data activity for open science session
DOI: 10.17632/yydcs4sns9
title: Pneumoconiosis stages

description: Appendix A is meta-analysis results for subgroups by Stata.
Appendix B is the economic and medical data extracted from the statistical yearbooks of Chinese provinces.
DOI: 10.6084/m9.figshare.22731083.v1
title: Network robustness

description: This folder contains data and R-codes to assess social network robustness. We used two approaches to do this: we first assessed, for each data collection method and for each social behaviour, the variation in mean value of all three individual-level network measures as well as the variation of all three network-level measures over time with monthly increases of data collected. We expected the curves to become progressively “flatter” because, if the networks were becoming more and more stable over time, monthly variation in network measures would become smaller and smaller as observers recorded fewer and fewer new edges between nodes. Second, we used bootstrapping to estimate network uncertainty, which reflects the (un)certainty with which network metrics were estimated. For each monthly data and for each social behaviour examined, the identity of the recipient was randomly reshuffled and social network metrics were re-calculated. This procedure was repeated 1000 times, eventually generating a distribution of possible values. From this distribution, we extracted the 95% confidence interval and subtracted the maximum and minimum value of this range in order to calculate the uncertainty index. We then assessed, for both sampling method, the monthly variation of this uncertainty index, expecting this value to decline as more and more observations were recorded and networks would become more certain.
DOI: 10.6084/m9.figshare.25907425.v1
title: Germline missense MSH6 VUS - 3

description: Molecular dynamics simulation of the VUS based on the ClinVar database, the simulation is up to 100 ns.
DOI: 10.6084/m9.figshare.26527891.v1
title: RNA-Seq of MC38 tumors in responder and non-responder CCF1 lines

description: In this study we investigated variation in responsiveness to anti-PD-1 using a model where we implanted the MC38 colorectal cancer cell line in genetically diverse host mice. To quantify differences in gene expression between tumors from responder and non-responder lines,we profiled four tumors from each of three responder lines and three non-responder lines. Of the four tumors from each line, two were treated with anti-PD-1 and two were treated with isotype control antibody.
DOI: 10.6084/m9.figshare.27303765.v1
title: <b>Rediscovering the Way of King Jesus:</b> Leadership and Ministry in the Biblical Model of Church and Mission

description: God’s original intent of expanding His kingdom and presence throughout the whole earth is being fulfilled by Jesus, the ruler of the kingdom of God, through God’s family, the church. The New Testament depicts the church as God’s family—united, expanding, and able to withstand suffering and false teaching while growing to maturity. In this biblical model of church and mission, the church is both established locally and expanding translocally. Leadership in God’s family is described in terms of service, protection, and relational influence for equipping disciples to build themselves up to Christlike maturity, through ministry to one another and the world around them. The model is designed by Jesus for all time, was revealed to His Apostles (especially Paul), and is intended to be the means by which the church as God’s family expands to every people group and place. The model is rooted in the gospel of Jesus the victorious King, with ensuing patterns of personal and relational transformation that lead to unity, joy, and maturity for everyone in God’s family.
DOI: 10.17632/zgnp3zp3kb
title: Data and code for "INSÔNIA, ANSIEDADE, ESTRESSE, DEPRESSÃO E FATORES ASSOCIADOS EM FISIOTERAPEUTAS ATUANTES EM UNIDADES DE TERAPIA INTENSIVA DE COVID-19 "

description: Dataset to reproduce the statistical analysis.
DOI: 10.6084/m9.figshare.13726237.v3
title: s1-d1-camera3

description: Camera 1 (of 6) for Subject 1, Day 1<br>