cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gbgtdfb3n6
title: Muted Radiative Feedback of Stratospheric Water Vapor Found in a Multi-Model Assessment

description: f1: TOA radiative flux calculated by RRTMG with each GCM climatology in control experiments;
f2: TOA radiative flux calculated by RRTMG with each GCM climatology in SWV-perturbed, instantaneous experiments;
f3: TOA radiative flux calculated by RRTMG with each GCM climatology in SWV-perturbed, stratosphere-equilibrated experiments;
f3: TOA radiative flux calculated by RRTMG with each GCM climatology in SWV-perturbed, atmosphere-equilibrated experiments;
dt_stra: temperature change after SWV perturbation in stratosphere-adjustment experiments;
dt_atmos: temperature change after SWV perturbation in atmosphere-adjustment experiments;
htr1: layer-by-layer heating rate in control experiments;
htr2: layer-by-layer heating rate in SWV-perturbed, instantaneous experiments;
htr3: layer-by-layer heating rate in SWV-perturbed, layer-by-layer temperature-perturbed instantaneous experiments (heating rate Jacobian + htr1)
DOI: 10.17632/ynptkr357k
title: Human-Centred AI in the Age of Industry 5.0: A Systematic Review

description: Dataset for systematic review with the same name. This dataset includes the full search query for each database (PDF). This dataset also includes the raw extracted data and processed data from each of the included articles.
DOI: 10.6084/m9.figshare.29128913.v1
title: Thriving in the tropics: Spatial variation in heat resilience in the early diverging land plant, <i>Marchantia inflexa</i>

description: See paper
DOI: 10.17632/3xyw6gkrxv
title: Data for: PTSD Symptoms are Associated with General Distress and Fear: Implications for the Conceptualization and Measurement of PTSD

description: 1. EQS data system file (.ess) containing 30 variables used for these analyses. 2. Data dictionary for analyses conducted for Journal of Anxiety Disorders submission
DOI: 10.6084/m9.figshare.25003823.v1
title: urban data

description: building layout and road network in Zhengzhou city
DOI: 10.6084/m9.figshare.5126182.v1
title: Supplementary Material for: Altered MicroRNA Expression of Nasal Mucosa in Long-Term Asthma and Allergic Rhinitis

description: <b><i>Background:</i></b> Asthma and allergic rhinitis (AR) commonly coexist and can be taken as manifestations of one syndrome. Evidence exists that microRNAs (miRNAs) are important in controlling inflammatory processes and they are considered promising biomarkers. However, little is known about the differences in miRNA expression in patients with chronic allergic airway disease. This study evaluated the inflammatory and miRNA profiles of the nasal mucosa of patients with long-term asthma with and without AR. <b><i>Methods:</i></b> We analyzed inflammatory cells, cytokines, and miRNAs in nasal biopsies and measured exhaled and nasal nitric oxide levels during the nonpollen season in 117 middle-aged men who had suffered mainly from allergic asthma for approximately 20 years and also in 33 healthy controls. <b><i>Results:</i></b> The differences in the number of nasal eosinophils and cytokine expression levels were modest in nasal biopsies taken from asthmatics. Downregulation of miR-18a, miR-126, let-7e, miR-155, and miR-224 and upregulation of miR-498, miR-187, miR-874, miR-143, and miR-886-3p were observed in asthmatic patients in comparison to controls. The differences in miRNA expression were mainly similar in asthmatics with and without AR. With regard to asthma severity, a trend of increased miRNA expression in persistent asthma was seen, whereas the downregulation of certain miRNAs was most distinct in nonpersistent-asthma patients. <b><i>Conclusions:</i></b> Differences in miRNA expression in the nasal mucosa of subjects with long-term asthma and AR can be seen also when no markers of Th2-type inflammation are detected. Asthma severity had only a minor impact on miRNA expression.
DOI: 10.17632/5tt3kgr9kt
title: Supplemental material: Mortality in generalized pustular psoriasis: a population-based national register study

description: Supplemental Material for JAAD Research letter "Mortality in generalized pustular psoriasis: a population-based national register study"
DOI: 10.17632/5zzrz874tt
title: elsepa—Dirac partial-wave calculation of elastic scattering of electrons and positrons by atoms, positive ions and molecules

description: Abstract The fortran 77 code system elsepa for the calculation of elastic scattering of electrons and positrons by atoms, positive ions and molecules is presented. These codes perform relativistic (Dirac) partial-wave calculations for scattering by a local central interaction potential V ( r ) . For atoms and ions, the static-field approximation is adopted, with the potential set equal to the electrostatic interaction energy between the projectile and the target, plus an approximate local exchange int... Title of program: ELSEPA Catalogue Id: ADUS_v1_0 Nature of problem The code calculates differential cross sections, total cross sections and transport cross sections for single elastic scattering of electrons and positrons by neutral atoms, positive ions and randomly oriented molecules. For projectiles with kinetic energies less than about 5 MeV, the programs can also compute scattering amplitudes and spin polarization functions. Versions of this program held in the CPC repository in Mendeley Data ADUS_v1_0; ELSEPA; 10.1016/j.cpc.2004.09.006 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/zkmfbj69tb
title: CBDC adoption CZ, SK

description: Data that were gathered via CAWI questionnaires in Czech rep. (CZ) and in Slovakia (SK). LABELS files provide a verbal description of answers, VALUE files are coded. Please note that CZ file got 2 sets of variables/questions: "K##" questions are related to the digital koruna (CZK) and "E##" questions related to the digital euro (EUR). SK file got only EUR set of questions.
DOI: 10.6084/m9.figshare.21136258.v2
title: Supporting data and code for "Tropical forest mammal occupancy and functional diversity increase with microhabitat surface area"

description: Data and code for "Tropical forest mammal occupancy and functional diversity increase with microhabitat surface area"
DOI: 10.17632/7yd2ntbh3w
title: Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis

description: This repository includes a solidWorks (2019) CAD model of a research quality double pendulum. Additionally, we have provided video data with trackers recorded at 1000 FPS and Encoder data to validate the video data analysis. This data is based on our work done in the HardwareX acrticle: "Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis."
DOI: 10.6084/m9.figshare.25180613.v1
title: Input files for RRspread on Israel Pneumococcal Dataset

description: Input files for RRspread on Israel Pneumococcal Dataset
DOI: 10.17632/5yz78xxpmy
title: BEEHIVE: a public dataset of Apis mellifera images to empower honeybee monitoring research

description: The BEEHIVE dataset has been created for Precision Agriculture, Measurement Science, and Entomology research specifically dealing with Apis mellifera (common honeybee) image analysis. The contents of the dataset include data acquired from two cameras located at different observation points: the "Frame" dataset, acquired with a camera placed inside a frame of the beehive and depicting very close-range images of the bees (potentially a few with Varroa destructor mites on their backs), and the "Bottom" dataset, acquired with a camera positioned at the bottom of the beehive. In this case, a metallic grid partially occludes the view.

The two datasets are already subdivided into training, validation, and test sub-datasets following a 70%-20%-10% splitting protocol. The "Frame" dataset includes 1.440 training images, 411 validation images, and 206 test images. The "Bottom" dataset includes 1044 training images, 303 validation images, and 147 test images. Each dataset includes annotations obtained in RoboFlow for the task of object detection, considering two classes: "bee" and "blurred_bee" for the "Frame" dataset, "bee" and "occluded_bee" for the "Bottom" dataset.

The data is valuable for the field of Precision Agriculture, Entomology, Measurement Science, and Computer Vision, especially for the tasks of bees' monitoring, counting, and detection of potential parasites by training image-based Deep Learning models. It is also useful as a reference dataset for benchmarking models.

If you use this dataset for your work, please cite the related papers:
- https://doi.org/10.3390/s24165270
DOI: 10.17632/7x8xv2yf23
title: Supplementary material for "Impact of geodetic information, subduction zone segmentation, and slow-slip events in probabilistic seismic hazard: A case study for Costa Rica"

description: This repository contains the main input files used for the seismic hazard calculations performed with the OpenQuake engine, including the modified source model and logic tree configurations based on the 2022 Costa Rica seismic hazard model (Hidalgo-Leiva et al., 2023). It also includes main output files (e.g., hazard maps and ground motion grids, hazard curves, and disaggregation) and a filtered list of earthquakes with magnitudes Mw ≥ 7 from Arroyo-Solorzano and Linkimer (2021) used in the analysis described in the discussion for the recurrence periods in the Nicoya and Osa peninsulas.
DOI: 10.17632/jx3b22f6ft
title: Non-Canonical MLL1 Activity Regulates Centromeric Phase Separation and Genome Stability

description: Epigenetic dysregulation is one of the most prominent features in human cancers as exemplified by frequent mutations or aberrant expression of chromatin regulators, including the MLL/KMT2 family of histone methyltransferases. With a growing body of paradoxical evidence debating the importance of canonical activity of MLLs on transcription in cancer, their non-canonical activity, which may lead to new therapeutic opportunities, has never been explored. Here, using an unbiased proteomics approach, we identify Borealin as an unprecedented non-canonical substrate for MLL1/KMT2A. We find that MLL1 methylates Borealin at K143, a residue resides in the intrinsically disordered region essential for liquid-liquid phase separation (LLPS) of inner centromeric chromosome passenger complex (CPC). Co-crystal structure of the MLL1-Borealin complex highlights distinct binding modes of the MLL1 SET domain between H3K4 and Borealin. Importantly, inhibiting MLL1 activity or mutating Borealin K143 to arginine perturbs CPC phase separation and phosphorylation of Aurora kinase B kinetochore substrates, thus impairing resolution of erroneous kinetochore-microtubule attachments as well as proper sister chromatid cohesion. MLL1 inhibition or depletion significantly increases chromosome instability and mitotic defects in CPC-high hepatocellular carcinoma (HCC) in vitro and in vivo. These results demonstrate a surprising function of MLL1 in regulating inner centromere liquid condensates to maintain cancer genome stability and establish MLL1 as a specific targetable vulnerability in HCC.
DOI: 10.6084/m9.figshare.27324393.v1
title: Data on Government efforts.xlsx

description: <b>Background:</b> One of the main goals of the government is to ensure a development that would enhance the living standard of the people in the society. In this regard, capital expenditure that would promote infrastructure is most desired. However, in Nigeria, the government spends more on administrative cost (recurrent expenditure) than capital expenditure. Under such condition, contributions to economic growth and national development become an illusion.<b>Methods:</b> This study employed Augmented Dickey Fuller Test (ADF) with Bound testing procedure, time series data that covers the period from 1990 to 2020 in Nigeria were used.<b>Results:</b> The result from the analysis showed that governmental expenditure has a significant effect on the national development of Nigeria. All the variables have a long-run relationship with economic growth (RGDP), according to the ARDL model's results. If the government poor policies on education, health services, and infrastructure etc. are addressed, in the long-run, Nigeria will achieve monumental development.<b>Conclusion:</b> The study adopted indices such as expenditure on Social and Community Services, Economic Services and Administrative Services to reflect the dynamics of government expenditure coupled with the yearly data garnered from the Central Bank of Nigeria spanning from 1990 to 2020.<br>
DOI: 10.6084/m9.figshare.8298674.v1
title: Limousin (including F94L variant) SNP data & Phenotypes

description: This data set includes SNP genotyping and phenotypes in Limousin.
DOI: 10.6084/m9.figshare.9637904.v1
title: Synthetic spike data generated by a network of 1,000 Hodgkin-Huxley type neurons

description: This is the dataset used for evaluating the performance of the methods for estimating synaptic connectivity from multiple spike trains (Kobayashi et al., 2018 BioRxiv). See README file about the data format and the paper about the simulation procedure.<br>
DOI: 10.60893/figshare.apl.28423943.v1
title: Electronic Supplementary Information

description: Electronic Supplementary Information
DOI: 10.17632/mbfvv936s5
title: Data for "Rules of Origin and the Profitability of Trade Deflection"

description: You can find here the data necessary to replicate all the results of the paper "Rules of Origin and the Profitability of Trade Deflection".
DOI: 10.17632/pcfccfnvj2
title: A DoS Attack Detection Method Based on Adversarial Neural Network

description: : In order to analyze the influence of deep learning model on detecting denial-of-service (DoS) attacks, this paper first examines the concepts and attack strategies of DoS assaults before looking into the present detection methodologies for DoS attacks. A distributed DoS attack detection system based on deep learning is established in response to the investigation's limitations. This system can quickly and accurately identify the traffic of distributed DoS attacks in the network that needs to be detected and then promptly send an alarm signal to the system. Then, a model called the Improved Conditional Wasserstein Generative Adversarial Network with Inverter (ICWGANInverter) is proposed in response to the characteristics of incomplete network traffic in DoS attacks. This model automatically learns the advanced abstract information of the original data and then employs the method of reconstruction error to identify the best classification label. It is then tested on the intrusion detection dataset NSL-KDD. The findings demonstrate that the mean square error of continuous feature reconstruction in the sub-datasets KDDTest+ and KDDTest-21 steadily increases as the noise factor increases. All of the receiver operating characteristic (ROC) curves are shown at the top of the diagonal, and the overall Area Under the ROC Curve (AUC) values of the Macro-average and Micro-average are above 0.8, which demonstrates that the ICWGANInverter model has excellent detection performance in both single category attack detection and overall attack detection. This model has a greater detection accuracy than other models, reaching 87.79%. This demonstrates that the approach suggested in this paper offers higher benefits for detecting DoS attacks.
DOI: 10.6084/m9.figshare.26045674.v3
title: Rural-Urban Transformation Data of China.xlsx

description: RUTD, CDθ, PU, LU, and EU by prefectures in 1990, 2000, 2010, and 2020;Rural-urban transformation patterns by prefectures in 1990 , 2000, 2010, and 2020;The relationship of DWBI to RUTD, CDθ, and RUTP at the provincial scale.
DOI: 10.17632/8tpxx5cxdg
title: Impact of SARS-CoV-2 vaccine and infection history on antiviral immunity post breakthrough infection

description: Clinical and demographical data as well as serological and cellular humoral data obtained for all patients included in our study.
DOI: 10.6084/m9.figshare.27993956.v1
title: dataset

description: The R and Python code used to perform the analysis and generate the results and visualizations presented in the forest canopy height, and the related data and results produced in the research analyses.
DOI: 10.6084/m9.figshare.28695986.v2
title: Data for article "The Role of Focused Laser Plasmonics in Shaping SERS Spectra of Molecules on Nanostructured Surfaces"

description: Reflectance spectrum of gold film over nanospheres (AuFoN).SERS spectra of aminobenzenethiol adsorbed on AuFoN, recorded for different Z-focusing positions.FDTD simulations of electric field spectrum near the AuFoN surface.
DOI: 10.6084/m9.figshare.9862184.v2
title: HetSRWGAN-dataset

description: We proposed two public benchmark datasets for single-frame infrared image super-resolution reconstruction.<br><br>The training dataset is CVC-09-1K.<br>Please check this link for more information.<br><br>https://hyongsong.work/
DOI: 10.17632/74k85vybmk
title: UOC Multi-magnification SEM Image Dataset

description: Sample dataset for publication with "Improving Uranium Oxide Pathway Discernment and Generalizability using Contrastive Self-Supervised Learning."
DOI: 10.17632/rhtr5yfpcn
title: Circulating MAIT cells in multiple sclerosis and amyotrophic lateral sclerosis

description: Data referred to the study financed by the Ministry of Health (RF-2018-12367731) and published in the article https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1436717/full
DOI: 10.6084/m9.figshare.25602168.v1
title: RNA sequences of larva and polyp of<i> Arachnanthus errans</i>

description: In this research, we have undertaken a comprehensive investigation of the transcriptome of <i>Arachnanthus errans</i>, a member of the subclass Ceriantharia, at both the larval and polyp stages. Our study extends beyond transcriptome profiling to include a detailed functional annotation of the transcripts and a focused examination of toxin-like proteins in these life stages. RNA from tentacle of one larva and one polyp of <i>Arachnanthus errans</i> was extracted with the RNAqueous Total RNA Isolation Kit. RNA quality was assessed using NanoDrop<sup>TM </sup>2000 Spectrophotometer. The integrity was evaluated by Agilent Bioanalyzer 2100 system. The sequencing was performed on Illumina HiSeq 2500 system.
DOI: 10.17632/z3vxt8rnvy
title: Good and bad classification of milk

description: Outline:

1. Introduction

Importance of milk in diet

Brief on spoilage and its relevance



2. What is Milk?

Composition of milk (water, fat, protein, lactose, minerals)

Types of milk (cow, goat, plant-based alternatives)



3. Milk Spoilage: An Overview

What is spoilage?

Difference between pasteurized and raw milk



4. Causes of Milk Spoilage

Microbial activity (bacteria, yeasts, molds)

Enzymatic breakdown

Improper storage (temperature, contamination)

Exposure to light and air



5. Microbiology of Spoiled Milk

Common spoilage bacteria (Lactobacillus, Pseudomonas, etc.)

How bacteria grow in milk

Fermentation and acidification



6. Chemical Changes During Spoilage

Sour smell and taste (lactic acid formation)

Curdling and separation

Changes in pH and texture



7. Signs of Spoiled Milk

Visual signs (curdling, discoloration)

Smell (sour, rotten)

Taste and texture



8. Health Implications of Consuming Spoiled Milk

Food poisoning symptoms

Vulnerable populations

When sour milk is safe (fermented products vs. actual spoilage)



9. Preventing Milk Spoilage

Storage tips (refrigeration, sealing)

Pasteurization process

Importance of expiration dates



10. Cultural and Historical Perspectives



Traditional fermentation (yogurt, cheese)

Spoilage vs. intentional souring


11. Environmental and Economic Impact



Food waste statistics

How spoiled milk affects supply chains


12. Conclusion



Summary of spoilage causes and consequences

Importance of proper milk handling



---

Sample Introduction (Part of the Full Essay):

Milk is one of the most widely consumed nutritional beverages in the world. Rich in essential nutrients such as calcium, protein, and vitamins, it forms a staple in diets from childhood to old age. Yet, this valuable liquid is also highly perishable. Its rich composition, while beneficial to humans, also makes it an ideal breeding ground for various microorganisms. When milk goes bad — or spoils — not only does it lose its nutritional and sensory value, but it can also pose significant health risks. Understanding how and why milk spoils is essential for consumers, food handlers, and producers alike.

Milk spoilage occurs due to a combination of microbial activity, chemical reactions, and environmental conditions. This essay delves deeply into the processes that lead to milk spoilage, explores its causes and consequences, and offers strategies for prevention. Along the way, we will also examine the broader implications of spoiled milk — from economic losses to environmental concerns — and touch on the thin line between spoilage and the beneficial fermentation that leads to products like yogurt and cheese.


---In this comprehensive essay, we will explore the full lifecycle of milk as it transitions from a fresh, consumable liquid to a spoiled, potentially ahazardous substance. We will examine milk’s natural composition, the science behind microbial spoilage, and the environmental factors that contribute to
DOI: 10.6084/m9.figshare.28430045.v1
title: Datafile 8. Functional distribution of expanded orthogroups identified in Chlorophyta and stramenopiles-alevolata

description: Functional distribution of expanded orthogroups identified in Chlorophyta and stramenopiles-alevolata
DOI: 10.17632/z8vrr5hk33
title: Exploring Factors Driving Customer Retention and Advocacy in Food Delivery Apps – Data from a Public University in Vietnam

description: The research period spanned from September 2022 to January 2023 and resulted in 346 usable responses. The findings offer fresh insights into the university students' use of FDAs, a transforming digital technology in the food and beverage industry. The data set holds value for service providers, SMEs, and sellers on these platforms to better understand their target audience and attract more users, particularly university students. Furthermore, the dataset provides a foundation for further comparative studies to be conducted at other universities or countries.
DOI: 10.6084/m9.figshare.23576769.v4
title: Raw dataset and cleaned dataset for IEEE 24-Bus System Freuqency Dynamics Measurements

description: This is the raw measurements for IEEE 24-bus system dynamic simulation in Simulink model. Measurements: freuqnecy dynamics, RoCoF dynamics, and voltage magnitude. <br> Mingjian Tuo and Xingpeng Li, “Machine Learning Assisted Inertia Estimation using Ambient Measurements,” IEEE Transactions on Industrial Applications. April. 2023. If you use this dataset in your work, please cite the paper above.