cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29134610.v1
title: Supplementary Tables

description: Supplementary Tables
DOI: 10.4121/uuid:ca1b0690-d9c5-4626-a067-525ec9d5881b
title: Experimental data for "Software Data Analytics: Architectural Model Discovery and Design Pattern Detection"

description: This dataset includes all experimental data used for the PhD thesis of Cong Liu, entitled "Software Data Analytics: Architectural Model Discovery and Design Pattern Detection". These data are generated by instrumenting both synthetic and real-life software systems, and are formated according to the IEEE XES format. See http://www.xes-standard.org/ and https://www.win.tue.nl/ieeetfpm/lib/exe/fetch.php?media=shared:downloads:2017-06-22-xes-software-event-v5-2.pdf for more explanations.
DOI: 10.6084/m9.figshare.23592636.v1
title: Fig_2_Statistical simulation of the maximum percentage of intramolecular crosslinks

description: A python script for the statistical simulation of the maximum percentage of intramolecular crosslinks as a function of CCL complexity
DOI: 10.7274/29115296.v1
title: Emulation, Inverse Problem and Probabilistic Modeling of Physics-Based Systems

description: Owing to their strong expressive power and great flexibility, deep neural network-based surrogate models have tremendously advanced the development of digital twins across a wide spectrum of physics-based systems. Apart from traditional architectures, modern artificial intelligence techniques such as normalizing flows and variational auto-encoder further equip the data-driven modeling with probabilistic perspectives and generative capabilities. However, among diverse aspects of studying a physical system, emulating the forward problem has been a primary interest, while other crucial components, like inverse problem and parameter identifiability analysis receive relatively less attention. In this work, we propose InVAErt networks, a data-driven framework that comprehensively synthesizes physics-based systems, including input-to-output forward emulation, probabilistic modeling of outputs, solving inverse problem in an amortized fashion, as well as addressing input parameter non-identifiability. In particular, the augmentation of a latent space constructed through a variational network facilitates the discovery of the structurally non-identifiable manifold embedded in the input space that maps to a common output. In addition, several approaches of dealing with practical identifiability induced by missing observations in the outputs, measurement noise and mis-specification error are also proposed, including a physics-based missing data imputation method and artificial noise injection during network training. For validation, a series of numerical experiments are carried out, starting from simple maps, to nonlinear dynamical systems, space-time PDEs and large scale hemodynamic models used for real-time inference of physiological states from real electronic health records (EHR).
DOI: 10.17632/9pmk8jmgry
title: articulos cientificos, ensayos , proyectos de investigacion

description: la presente carpeta tiene como finalidad el acceso a informacion cientifica y academica para el resto del publico en general sea de gran aporte y relevancia
DOI: 10.17632/vtbksjbcmy
title: Field inoculation of arbuscular mycorrhizal fungi through rye donor plants in vineyards

description: This file contains data regarding grapevine performance under field conditions over two years. In the experient, rye under-vine cover crops were inoculated with Funneliformis mosseae, and the potential benefits for grapevines were analyzed in comparison to the ones derived from the establishment of non-inoculated under-vine rye cover crops, and to the ones derived from conventional herbicide-based weed control.
DOI: 10.17632/x6x5jkk873
title: A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases

description: The image of the groundnut leaves was collected from the agricultural land of Ramchandrapur village in Purba Medinipur district of West Bengal, India, Pin: 721429, which is both healthy and infected with Leaf spot (early and late), Alternaria leaf spot, Rust, and Rosette. The dataset contains 1,720 jpg images in 4624 × 3472 pixel format, each labelled with the image number and the name of the image. Data were uploaded to the repository in 5 distinct folders: 1 folder for healthy data, 1 folder for Leaf spot (early and late), 1 folder for Alternaria leaf spot, 1 folder for Rust, and 1 folder for Rosette diseases. In addition, each folder's name reflected the associated image class. The HEALTHY folder comprises a collection of images depicting groundnut leaves in a healthy condition. The LEAF SPOT (EARLY AND LATE) folder contains images of groundnut leaves affected by Leaf spot (early and late). The folder titled ALTERNARIA LEAF SPOT contains images depicting groundnut leaves that have been infected by Alternaria leaf spot. The RUST folder comprises images of groundnut leaves infected by Rust disease. The ROSETTE folder contains images of groundnut leaves infected by Rosette disease. The images were divided into distinct directories to facilitate the process of sharing and downloading data.
DOI: 10.6084/m9.figshare.21782201.v1
title: Codes and data for Geographical Convergent Cross Mapping (GCCM) model

description: The compressed package includes the codes of Geographical Convergent Cross Mapping (GCCM) model written in R and the data of two case studies. The GCCM is propsed for spatial causation inference with cross-sectional data by resorting to dynamical systems theory and generalized embedding theory. It can identify and measure the strength of causal associations from cross map prediction in the phase space built by embedding of spatial observations.
DOI: 10.6084/m9.figshare.28095584.v1
title: PLOSONE_data_Jhamb_etal_2024.xlsx

description: <b>Description:</b><br>This dataset contains cleaned data on harmonized nighttime lights, population density, GDP per capita, HDI, for 34 countries in Sub-Saharan Africa, covering 2004 to 2019. DHS-specific data is excluded due to licensing restrictions and can be accessed directly from the DHS Program website.<br>https://doi.org/10.6084/m9.figshare.28095584.v1
DOI: 10.6084/m9.figshare.28696349.v2
title: High-Throughput Atomistic Modeling of Nanocrystalline Structure and Mechanics of Calcium Aluminate Silicate Hydrate

description: The Structure.zip includes files and information for the 1600 structures mentioned in the article. The Travis Result.zip contains the results of processing the trajectories using TRAVIS. The Equilibrium Structure.zip contains 160 structures that have been minimized and equilibrated through molecular dynamics, and mechanical tests were conducted based on these structures.
DOI: 10.17632/jsm35bzpxz
title: Supplementary Material for "Survival Differences in Acral Lentiginous Melanoma According to Socioeconomic Status and Race"

description: Supplementary Material for "Survival Differences in Acral Lentiginous Melanoma According to Socioeconomic Status and Race"
DOI: 10.6084/m9.figshare.12062637.v1
title: 8 Week CMT data

description: Basic data set of 8 week compassionate mind training course pre and post data including total scores
DOI: 10.6084/m9.figshare.19416857.v2
title: Data set for discounted binary knapsack problem

description: Data set for discounted binary knapsack problem
DOI: 10.6084/m9.figshare.22015634.v1
title: First evidence of microplastic occurrence in the marine and freshwater environments in a remote polar region of the Kola Peninsula and a correlation with human presence

description: Kaliszewicz A. et al.2023. First Evidence of Microplastic Occurrence in the Marine and Freshwater Environments in a Remote Polar Region of the Kola Peninsula and a Correlation with Human Presence. Biology. Samples of microplastic fibers and fragments collected from bays of the Barents Sea and from isolated freshwater lakes located in the tundra.
DOI: 10.6084/m9.figshare.27210429.v1
title: Data used for SketchMol training

description: Data used for SketchMol training
DOI: 10.17632/3nzwcbxgsr
title: Data for: Variographic analysis: A new methodology for quality assurance of pharmaceutical blending processes
DOI: 10.6084/m9.figshare.24450445.v1
title: Data for "Machine Learning Design of Perovskite Catalytic Properties"

description: This Figshare repository contains data for the paper "Machine Learning Design of Perovskite Catalytic Properties" by Ryan Jacobs, Jian Liu, Harry Abernathy and Dane Morgan, to be published (2023).
DOI: 10.6084/m9.figshare.25624917.v1
title: OphthalVQA Dataset

description: A supplement to "<b>Unveiling the Clinical Incapabilities: A Benchmarking Study of GPT-4V(ision) for Ophthalmic Multimodal Image Analysis</b>".*Cite this paper: Xu, P., Chen, X., Zhao, Z., & Shi, D. (2024). Unveiling the clinical incapabilities: a benchmarking study of GPT-4V(ision) for ophthalmic multimodal image analysis. <i>The British journal of ophthalmology</i>, bjo-2023-325054. Advance online publication. https://doi.org/10.1136/bjo-2023-325054<br>
DOI: 10.17632/4krf5kx52z
title: Flood validation

description: This data derived from Instagram social media during the large area flood event of Barito Watershed, South Kalimantan, Indonesia
DOI: 10.6084/m9.figshare.21282396.v1
title: Data sets.rar

description: Data sets for skin detection Using the data sets, we can perform the skin detection based on transfer learning.
DOI: 10.6084/m9.figshare.26531323.v1
title: STROBE-checklist of the quantified method for blood clot detection in the extraction socket .docx

description: STROBE-checklist of the quantified method for blood clot detection in the extraction socket
DOI: 10.6084/m9.figshare.28980476.v2
title: Global gross primary production data fusion by Triple Collocation Analysis from 1992 to 2018

description: The dataset provides global gridded 0.05°×0.05° spatial resolution at monthly and annual temporal resolutions from 1992 to 2020. The units are gC m<sup>-2</sup> month<sup>-1</sup> and gC m<sup>-2</sup> year<sup>-1</sup>,respectively. These data are stored in NetCDF format. For the annual scale, we name the data as “GPP_TCF_YEARLY_1992to2018.nc” and store it in the “yearly” folder. For the monthly scale, we store the data in the “monthly” folder, and the data are named as 'GPP_TCF_monthly_YYYY.nc', where YYYY represents 27 different years from 1992 to 2018. The data type for the monthly data is single, and the data type for the annual data is double.
DOI: 10.6084/m9.figshare.7345880.v2
title: Microarray_data_MAT.zip

description: The file contains 10 cancer microarray data sets in MAT files. For each data set, the number of rows represents the number of samples, and the first column is the class vector. Please see S. Nakariyakul, "A hybrid gene selection algorithm based on interaction information for microarray-based cancer classification," 2018 for more information.
DOI: 10.6084/m9.figshare.13118249.v1
title: Population genomic analysis of Cactoblastis species

description: Raw reads were demultiplexed, filtered and assembled using iPYRAD v0.9.59 (Eaton and Overcast, 2020). Demultiplexing was done using the unique barcode and adapter sequences. Then, samples’ reads were filtered using the stricter filter for Illumina adapters, and filtered to clean up the edges of poor quality reads. A Reference based assembly method was implemented using the reference draft genome CactoFuEDEI.fa. We set 2 as the maximum number of unique alleles allowed in consensus reads, and ran iPYRAD to obtain four datasets, each one controlling 25%, 50%, 80% and 90% of the minimum number of samples per locus (msl), respectively. We also included the inputs files used in the models for demographic inference using coalscent simulations in Fastsimcoal2. It includes files with extension tpl, est, as well as SFS of the six terminals used in analysis in a separate files.<br>
DOI: 10.6084/m9.figshare.26566238.v1
title: Additional file 2 of Spectrum and clinical features of gene mutations in Chinese pediatric acute lymphoblastic leukemia

description: Additional file 2: Table S2.
DOI: 10.6084/m9.figshare.7297751.v1
title: NicholsonRicketts2018_Treatment_massAccumulation_metadata.csv

description: Variable descriptions for "NicholsonRicketts2018_Treatment_massAccumulation_data.csv"
DOI: 10.17632/777fk7d6mw
title: SMED and Its Contribution to Sustainability in the Maquiladora Industry: A Study Using Structural Equation Modeling and System Dynamics

description: In the Excel file, you will find the information from the questionnaire responses for each of the variables involved in the evaluated model. You will also find the additional coefficients analyzed.
DOI: 10.6084/m9.figshare.11938560.v1
title: Supplementary Material for: Paradoxical Hidradenitis Suppurativa in Patients Receiving TNF-α Inhibitors: Case Series, Systematic Review, and Case Meta-Analysis

description: <b><i>Background/Aims:</i></b> TNF-α inhibitors represent the most advanced approved therapeutic option for moderate and severe forms of hidradenitis suppurativa (HS). However, in recent years, cases of paradoxical HS secondary to the use of these biological drugs have been described, with very few cases reported in the literature. The aims of this study are (1) to present 2 new cases of paradoxical HS and (2) to perform a systematic review of scientific evidence regarding paradoxical HS with TNF-α inhibitors. <b><i>Material and Methods:</i></b> This is a retrospective study in which we searched all the cases of paradoxical HS secondary to the use of TNF-α inhibitors published in the literature and included two additional cases observed in our clinical practice. <b><i>Results:</i></b> A total of 34 patients under TNF-α inhibitor treatment were included (adalimumab = 21; infliximab = 9; etanercept = 4). The median delay from exposure to TNF-α inhibitor and the development of paradoxical HS was 12 months (range 1–72). The majority of patients were Hurley stage II (58.8%). Clinical improvement and complete remission were more frequent when the TNF-α inhibitor was stopped or switched to another biological agent with a different therapeutic target rather than maintenance or change to another TNF-α inhibitor. <b><i>Conclusions:</i></b> Paradoxical HS is an unusual adverse effect of TNF-α inhibitors. When this adverse effect appears, interruption or substitution of treatment is associated with a better clinical outcome.
DOI: 10.6084/m9.figshare.24865773.v1
title: Data for the manuscript (i.e., Impact-melt-crystallized magnetite on the Moon).

description: Here, we provide the supporting information about the petrological and geochemical data of the impact melt breccia and the studied magnetite-bearing impact glass fragment. In addition, remote-sensing data for the impact melts associated with magnetic anomalies on the Moon is also provided. Text S1 is the thermodynamic calculation for electron exchange reaction. Figures S1 to S5 are petrological and geochemical features of the impact melt breccia and the studied magnetite-bearing impact glass. Remote-sensing observation of the impact melts associated with magnetic anomalies on the Moon is also provided in Figure S6 and Figure S7. Table S1 is the EPMA result of the magnetite-bearing impact glass. Table S2 describes that characteristics of the impact-melt-crystallized magnetite are mostly consistent with impact-melt-crystallization formation mechanism. Table S3 is the EDS result of the metallic iron particle embedded in the impact glass. Table S4 summarizes information for those impact melts associated with magnetic anomalies on the Moon.
DOI: 10.6084/m9.figshare.28737470.v1
title: MRI dataset

description: personal 101 MRI images, 24-year-old male, dimensions: 255x255, sagittal orientation
DOI: 10.6084/m9.figshare.8159192.v1
title: STED image quality comparison images

description: fixed HeLa cell with tubulin cytoskeleton stained with Star635. The sample was imaged with Leica TCS SP5 STED, 100x/1.4 oil immersion objective (HCX PL APO CS), pinhole 1.0 AU, excitation wavelength 635 nm. The depletion laser wavelength was set to 765 nm and its intensity was varied between 50-100\% -- the same field of view was imaged sequentially with two different detectors. The image size is 700x700 and pixel size 15x15 nm.
DOI: 10.6084/m9.figshare.10246958.v4
title: The Cue-Recalled Autobiographical Memory Test DATASET

description: The CRAM (Cue-Recalled Autobiographical Memory) test prompts autobiographical memories (AMs) using naturalistic word-cues. Participants date the memories to life periods and subsequently report the numbers of details remembered across eight content categories or features (e.g., spatial detail, temporal detail, emotions, objects, and people). The test collected AMs from the local George Mason University community and as it was made available online, from internet-browsing individuals. The dataset provided herein for public data mining contains 14,242 AMs scored for content from 4,244 users. The full set of raw data is uploaded as an Excel file and as a CSV file..<br>See Gardner et al., 2012 (https://doi.org/10.1371/journal.pone.0044809) and Gardner et al., 2015 (https://doi.org/10.3389.fpsyg.2015.00631) for full detail.
DOI: 10.17632/xxrsf4nr7v
title: Spatial and latent memory data in PS2Tg2576 Alzheimer’s disease mouse model after memantine treatment

description: We present data on whether memantine, an adamantane derivative and medical NMDA-receptor antagonist, improves spatial and latent learning deficits in amyloid precursor protein/presenilin 2 double-transgenic mice (PS2Tg2576 mice). PS2Tg2576 mice were subjected to Morris water maze (MWM) test for spatial memory and the water-finding test for latent memory testing at ages 3 and 5-6 months. At 3 months of age, the learning performance of PS2Tg2576 mice was normal compared to wild-type mice in both tasks. At 5-6 months of age, cognitive deficits were observed in the MWM and water-finding test; 3-4 weeks of memantine treatment (30 mg/kg/day, p.o.) significantly reverted the learning deficits in the MWM; however, had little effect on those in the water-finding test. The information provided in this report adds to the literature and can be used for the selection of animal models and behavioral paradigms for Alzheimer's disease (AD) research.
DOI: 10.6084/m9.figshare.19149773.v2
title: International assessment of interobserver reproducibility of flap delineation in head and neck carcinoma

description: <b>Background:</b> Several reports have suggested that radiotherapy after reconstructive surgery for head and neck cancer (HNC), could have deleterious effects on the flaps with respect to functional outcomes. To predict and prevent toxicities, flap delineation should be accurate and reproducible. The objective of the present study was to evaluate the interobserver variability of frequent types of flaps used in HNC, based on the recent GORTEC atlas. <b>Materials and methods:</b> Each member of an international working group (WG) consisting of 14 experts delineated the flaps on a CT set from six patients. Each patient had one of the five most commonly used flaps in HNC: a regional pedicled pectoralis major myocutaneous flap, a local pedicled rotational soft tissue facial artery musculo-mucosal (FAMM) (2 patients), a fasciocutaneous radial forearm free flap, a soft tissue anterolateral thigh (ALT) free flap, or a fibular free flap. The WG’s contours were compared to a reference contour, validated by a surgeon and a radiologist specializing in HNC. Contours were considered as reproducible if the median Dice Similarity Coefficient (DSC) was &gt; 0.7. <b>Results:</b> The median volumes of the six flaps delineated by the WG were close to the reference contour value, with approximately 50 cc for the pectoral, fibula, and ALT flaps, 20 cc for the radial forearm, and up to 10 cc for the FAMM. The volumetric ratio was thus close to the optimal value of 100% for all flaps. The median DSC obtained by the WG compared to the reference for the pectoralis flap, the FAMM, the radial forearm flap, ALT flap, and the fibular flap were 0.82, 0.40, 0.76, 0.81, and 0.76, respectively. <b>Conclusions:</b> This study showed that the delineation of four main flaps used for HNC was reproducible. The delineation of the FAMM, however, requires close cooperation between radiologist, surgeon and radiation oncologist because of the poor visibility of this flap on CT and its small size.
DOI: 10.17632/mc883tm3m4
title: Raw Data for 2020 Software Deployment Projects

description: Software integration companies often measure their financial success using profit margin (%) at the completion of a project. Profit margin is influenced by many factors such as project size, industry segment and/or product deployed to name a few. The parameters that influence a project’s ultimate success or failure may be a predictor for the profit margin at project completion. Understanding how these project factors influence the final project margin is valuable information to management who can review which factors influenced the most profitable projects so derive any best practices to be applied to the lesser profitable projects. The data referenced in this paper was collected from an integrated database pulling from multiple tracking systems that holds the data of record about various aspects of project integration instances. The value of this dataset is the number of factors that a researcher can use to investigate project success and failures.

Data was selected from the initial 500 projects opened and closed in 2020.  Projects that were initiated in 2019 or concluded in 2021 were not included.  

The source of this data is from a software development company that deploys/implements to customers who purchased either manufacturing or PLM software.
DOI: 10.17632/ncy74b8tm7
title: Chromatin regulation of transcriptional enhancers and cell fate  by the Sotos syndrome gene NSD1. Sun et al.

description: Unprocessed imaging data (microscopy and western blots).
DOI: 10.17632/63pxv64h75
title: Electricity generation, natural gas consumption and CO2 emission data of a power plant in Dhaka, Bangladesh

description: This study collected fuel consumption and electricity generation data from an engine-based natural gas-fired power plant in Dhaka Export Processing Zone Authority (DEPZ), Bangladesh. In this study, CO2 emission was calculated using IPCC 2006 guidelines from fuel consumption data from 2015 to 2022. This data will be helpful in further study and in the preparation of emission forecasting and emission reduction strategies. CO2 Emission forecasting is an important tool for predicting future levels of greenhouse gas emissions. It helps us understand the impact of human activities like power generation, fuel burn on the environment, and climate change. By analyzing past trends and current data, this study will make informed decisions about reducing emissions and mitigating the effects of climate change. Accurate emission forecasts are essential for National and international policymakers, businesses, and individuals to develop effective strategies for reducing emissions and transitioning to a more sustainable future. 
However, this dataset also included forecasted dataset for 2023- 2026. Forecasting uses the Linear Extrem Learning Machine (LELM) model in Rsudio. Rscript and historical datasets with predicted data presented here. In Version 4 CO2 emissions historical data anomaly also added.
DOI: 10.17632/bj2gyvkgvx
title: Dataset of manually annotated social media comments in Albanian Language for Sentiment Analysis

description: The dataset comprises comments collected from the official Facebook page of the National Institute of Public Health of Kosovo (NIPHK) for a period of 6 months, from March 12 till August 31, 2020. On March 12, the first case of COVID-19 was confirmed in Kosovo. Comments were retrieved using a tool called Comment Exporter. These comments were in Albanian language and reflect the opinions of Kosovo citizens expressed on Facebook about the Covid-19 pandemics. This dataset contains a total of 10,132 comments along with 12 attributes.