cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cn38pbwn7r
title: COVID-ASSESS Italy - COVID19 related Anxiety and StreSs in prEgnancy, poSt-partum and breaStfeeding

description: The COVID-ASSESS questionnaire (COVID-19 related Anxiety and StreSs in prEgnancy, poSt-partum and breaStfeeding) was developed by Claudia Ravaldi (psychiatrist and psychotherapist) and Alfredo Vannacci (pharmacologist and epidemiologist) and uploaded as an online survey using the Surveymonkey platform (www.surveymonkey.com). The survey was distributed via CiaoLapo Foundation, an Italian charity for perinatal loss support, using existing networks and support groups across Italy. The network of CiaoLapo Foundation comprises women and couples affected by perinatal loss, as well as numerous associations, organizations and groups dealing with healthy pregnancy and perinatal health. Data were collected during phase 1 and phase 2 of COVID-19 lockdown in Italy (March, April and May 2020). Participants voluntarily self-selected to complete the survey. In order to address issues of women who were either pregnant, breastfeeding or caring for newborns or infants during COVID-19 lockdown, participants were considered eligible to complete the survey if over 18 and (a) currently pregnant or if (b) they gave birth after the 1st January 2019. Consent was provided at the start of the survey once participants had read the participant information and met the eligibility criteria. The survey was launched, and data collected during national COVID-19 lockdown in Italy. Human research ethical approval to conduct the survey was received from Florence University ethics committee (Prot. n. 006897). The survey consisted of questions across several key areas including: ●Sociodemographic information ●Section (A) anamnestic variables (comorbidities, previous losses, history of psychological disorders) ●Section (B) birth expectations before and after COVID-19 ●Section (C) concerns regarding pandemic consequences ●Section (D) breastfeeding ●Section (E) perception of media and health professionals’ information and communication on COVID-19 ●Section (F) psychometric evaluation. Women were also asked to provide three words to describe their expectations for their birth experiences before and after the onset of the COVID-19 pandemic. COVID-ASSESS raw data are shared under CC BY NC 3.0. You are free to use data for scientific research, providing you attribute appropriately and do not use the material for commercial purposes. Any publication derived from the use of these data must cite this dataset, and must be shared and discussed before submission with the members of COVID-ASSESS steering committee, Claudia Ravaldi and Alfredo Vannacci (PeaRL Perinatal Research Laboratory, University of Florence and CiaoLapo Foundation for Perinatal Health) who must be included as co-authors in all publications using data derived from COVID-ASSESS survey.
DOI: 10.17632/d2vwry7j3x
title: TRIM2, a novel member of the antiviral family, limits new world arenavirus entry

description: Data from to the manuscript "TRIM2, a novel member of the antiviral family, limits new world arenavirus entry"
DOI: 10.17632/kj58y3sdtk
title: Sea Ice Numerical VP-Comparison Benchmark

description: This data set includes the numerical data accompanying the publication "Simulating linear kinematic features in viscous-plastic sea ice models on quadrilateral and triangular grids with different variable staggering". In addition to the raw data, the Python script is also deposited, which can be used to detect the Linear Kinematic Features, an essential parameter for comparing the different methods. The folder names correspond to the different models that have been compared in the paper. The folder "analysis" contains the Python-Script for LKF detection.
DOI: 10.6084/m9.figshare.1512415.v2
title: brainTumorDataPublic_2299-3064.zip

description: The fourth part of the whole dataset including file numbers from 2299 to 3064. The whole dataset contains 3064 slices.
DOI: 10.17632/j9gn99p6kr
title: Addis Ababa Sheger Public Transport dataset 

description: The dataset collated from 20 buses within one-year GPS data of each day, from 6:00 a.m. to 7:30 p.m. was collected from Sheger Public Transport Addis Ababa, Ethiopia. The dataset has around 140,000 records of initial and destination with 123 routes.
DOI: 10.17632/zt46w9748z
title: Data for: Effect of introduced Casuarina trees on the vulnerability of sea turtle nesting beaches to erosion
DOI: 10.17632/56hdnvr7hs
title: A Transferable Long-term Lithium-ion Battery Aging Trajectory Prediction Model Considering Internal Resistance and Capacity Regeneration Phenomenon

description: This dataset contains eight lithium-ion batteries with different rest time and rest intervals. The dataset can be used to evaluate the state of X prediction models that takes into account the capacity regeneration phenomena.
DOI: 10.17632/bsk7w5cvpm
title: Monte Carlo simulation of two-photon processes I: Radiative corrections to multiperipheral e + e − μ + μ − production

description: Title of program: RADCOR Catalogue Id: AAFK_v1_0 Nature of problem Two-photon processes, such as e+e- -&gt; e+e-mu+mu-, are in lowest order predominatly described by so-called multiperipheral or t-channel diagrams. Improvements on this description can be made by the calculations of the radiative corrections to these multiperipheral graphs. The MC program, presented here, does not only calculate the cross section with the radiative corrections on the electron or positron line included but can also produce unweighted events of the type e+e- -&gt; e+e-mu+mu-(gamma) so t ... Versions of this program held in the CPC repository in Mendeley Data AAFK_v1_0; RADCOR; 10.1016/0010-4655(86)90114-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/h8p2z7p55y
title: Solution of the Skyrme–Hartree–Fock–Bogolyubov equations in the Cartesian deformed harmonic-oscillator basis. (VI) hfodd (v2.40h): A new version of the program

description: Abstract We describe the new version (v2.40h) of the code hfodd which solves the nuclear Skyrme-Hartree-Fock or Skyrme-Hartree-Fock-Bogolyubov problem by using the Cartesian deformed harmonic-oscillator basis. In the new version, we have implemented: (i) projection on good angular momentum (for the Hartree-Fock states), (ii) calculation of the GCM kernels, (iii) calculation of matrix elements of the Yukawa interaction, (iv) the BCS solutions for state-dependent pairing gaps, (v) the HFB solutions for ... Title of program: HFODD (v2.40h) Catalogue Id: ADFL_v2_2 Nature of problem The nuclear mean-field and an analysis of its symmetries in realistic cases are the main ingredients of a description of nuclear states. Within the Local Density Approximation, or for a zero-range velocity-dependent Skyrme interaction, the nuclear mean-field is local and velocity dependent. The locality allows for an effective and fast solution of the self-consistent Hartree-Fock equations, even for heavy nuclei, and for various nucleonic (n-particle n-hole) configurations, deformations, excitat ... Versions of this program held in the CPC repository in Mendeley Data ADFL_v1_0; HFODD (v1.60r); 10.1016/S0010-4655(97)00005-2 ADFL_v1_1; HFODD (v1.75r); 10.1016/S0010-4655(00)00121-1 ADFL_v2_0; HFODD (v2.08j); 10.1016/j.cpc.2004.02.003 ADFL_v2_1; HFODD; version. 2.08k; 10.1016/j.cpc.2005.01.014 ADFL_v2_2; HFODD (v2.40h); 10.1016/j.cpc.2009.08.009 ADFL_v3_0; hfodd (v2.49t); 10.1016/j.cpc.2011.08.013 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/835fpxy6t3
title: Understanding the challenges of robotic-assisted surgery adoption: Perspectives from stakeholders and the general population on human-interaction, built environment, and training - Focus Group Transcripts

description: Understanding the challenges of robotic-assisted surgery adoption: Perspectives from stakeholders and the general population on human-interaction, built environment, and training

Abstract: This study aims to explore adoption barriers from three aspects critical to facilitating robotic-assisted-surgery (RAS) adoption: the human-robot-interaction, built-environment, and training. Guidelines for research and design are identified from these perspectives. This study consisted of three phases: 1) surveys to RAS stakeholders and a crowd-sourcing survey; 2) stakeholder focus groups; and 3) a workshop with subject-matter experts to prioritize future research for RAS. Barriers from the human-robot-interaction perspective include hesitancy among clinicians to trust automation and physical discomfort during prolonged RAS. Barriers impeding communication and workflow disruptions were identified considering the built-environment. Training barriers were exemplified by varying curriculums from formal (courses) to informal (peer training) for surgeons. Crowd-sourced survey results suggest socio-economic status plays a role in RAS perception. Design guidelines include: 1) improved ergonomics; 2) deliberate introduction of automation; 3) sufficient in-room storage for prospective operating rooms; and 4) the development of compact RAS devices for older/smaller rooms.

Focus Group Transcripts for https://doi.org/10.1016/j.apergo.2024.104403
DOI: 10.17632/k6z3xmy2vt
title: Raw Data for Investigating Artificial Intelligence Adoption Decisions in China’s Apparel Manufacturers with An Extended UTAUT-TOE Framework

description: This dataset is raw data of my research paper: Investigating Artificial Intelligence Adoption Decisions in China’s Apparel Manufacturers with An Extended UTAUT-TOE Framework.
DOI: 10.17632/n5jjdrr55r
title: Self-Organization of parS Centromeres by ParB CTP hydrolase

description: Dracala spotting assay, ITC measurements, Malachite Green Assay, in vitro and in vivo crosslinking , DNA loading assay, Sequence alignment used for DCA, Single Molecule Imaging
DOI: 10.17632/xf2hxn4gzs
title: IFRS AND INDIAN GAAP: A COMPARATIVE STUDY

description: When a new accounting standard adopt by a country for its own domestic companies for reporting their financial statement, it may be impact on the quantitative as well as qualitative attributes of financial statements. IFRS become a global reporting language. Therefore India is keen to adopt it and make it mandatory for its own interest. In this study, the main purpose is to make a parallel comparison between IFRS and Indian GAAP and documented the basic difference between these two standards. It helps to find out the effects of IFRS adoption on the financial statements and market value, prepared by Indian Companies. To find out the statistical significant of the above stated activities, proper statistical test (Wilcoxon Signed Rank, regression, correlation) has been applied.
DOI: 10.17632/c939cpg956
title: Data for: Standard Jones and Modified Jones: An Earnings Management Tutorial” published by RAC-Revista de Administração Contemporânea

description: This dataset gathers financial data from Brazilian public companies listed on B3. The data refer to data that can be collected directly from each firm's "standardized" financial statement or using the R code and databases. All companies are from non-financial sectors. Data are organized by Grupo de Pesquisa em Contabilidade e Regulação de Negócios (COREG). Variables description: Firm_id: numerical identification of the firm, just so as not to scramble the data; Year: is the date of the closing year (december, 31) of the respective year.; B3_sector: Corresponds to the industry sector of firm "i": 1 = Industries, 2 = Cyclical Consumption, 3 = Non-cyclical Consumption, 4 = Electricity sector, 5 = Basic Materials, 6 = Oil, gas and biofuels, 7 = Health, 8 = Information Technology, 9 = Telecommunications, 10 = Public utilities; Assets: Total assets in Year t, for firm I; Current_assets: Current assets in year t, for firm I; Cash: Cash and cash equivalents in year t, for firm I; Account_receivables: Account receivable in year t, for firm I; Inventories: Inventorires in year t, for firm I; Properties: Properties in year t, for firm I; Intangible_assets: Intangible assets in year t, for firm I; Deffered_assets: Deferred assets in year t, for firm I; PPE: Property, Plant and equipment in year t, for firm I; Current_liabilities: Current liabilities in year t, for firm I; STD: Debts in current liabilities; noncurrent_assets: non-current assets in year t, for firm I; Revenue: Revenues in year t, for firm I; Depreciation: Depreciation expenses in year t, for firm I; net_income: Net income in year t, for firm I; CFO: Cash From Operations in year t, for firm I.
DOI: 10.17632/hf9w4tcrc6
title: Data set for :"Temperature and Strain Rate Dependence of Frozen Fine-Grained Rock Infilling: Implications for Permafrost Slope Stability"

description: My research data for the paper "Temperature and Strain Rate Dependence of Frozen Fine-Grained Rock Infilling: Implications for Permafrost Slope Stability"
DOI: 10.17632/3jg4gpjz8g
title: Data for: Do Natural Resource Management Programs Increase Incomes and Productivity? Evidence from Alternative Meta-Regression Analysis

description: List of references used in the meta-analysis
DOI: 10.17632/79b2ns555y
title: Supplementary Information for "Biologics for Severe, Chronic Plaque Psoriasis: A Cost-Utility Analysis"

description: Supplementary Information for "Biologics for Severe, Chronic Plaque Psoriasis: A Cost-Utility Analysis"
DOI: 10.17632/f78jsh6zp9
title: Keystroke and Mouse Dynamics for UEBA Dataset

description: Behavioural dynamics gathered from a webchat app. EVTRACKINFO: 347 records. Static behaviour information. EVTRACKTRACK: 142691 records. 113471 for keystroke dynamics and 29220 for mouse dynamics. 11 users. A mean of 28524 +-18541 records has been obtained per user.
DOI: 10.6084/m9.figshare.21640544.v1
title: Machine learning datasets

description: Machine learning datasets
DOI: 10.6084/m9.figshare.26086492.v1
title: A Labelled Dataset for Sentiment Analysis of videos on YouTube, TikTok, and other sources about the 2024 Outbreak of Measles

description: <b>Please cite the following paper when using this dataset:</b>N. Thakur, V. Su, M. Shao, K. Patel, H. Jeong, V. Knieling, and A.Bian “A labelled dataset for sentiment analysis of videos on YouTube, TikTok, and other sources about the 2024 outbreak of measles,” arXiv [cs.CY], 2024. Available: https://doi.org/10.48550/arXiv.2406.07693<b>Abstract</b>This dataset contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet between January 1, 2024, and May 31, 2024. These websites primarily include YouTube and TikTok, which account for 48.6% and 15.2% of the videos, respectively. The remainder of the websites include Instagram and Facebook as well as the websites of various global and local news organizations. For each of these videos, the URL of the video, title of the post, description of the post, and the date of publication of the video are presented as separate attributes in the dataset. After developing this dataset, sentiment analysis (using VADER), subjectivity analysis (using TextBlob), and fine-grain sentiment analysis (using DistilRoBERTa-base) of the video titles and video descriptions were performed. This included classifying each video title and video description into (i) one of the sentiment classes i.e. positive, negative, or neutral, (ii) one of the subjectivity classes i.e. highly opinionated, neutral opinionated, or least opinionated, and (iii) one of the fine-grain sentiment classes i.e. fear, surprise, joy, sadness, anger, disgust, or neutral. These results are presented as separate attributes in the dataset for the training and testing of machine learning algorithms for performing sentiment analysis or subjectivity analysis in this field as well as for other applications. The paper associated with this dataset (please see the above-mentioned citation) also presents a list of open research questions that may be investigated using this dataset.
DOI: 10.6084/m9.figshare.8024981.v2
title: Salt accumulation at inclined slopes. Field and Lab. measurements

description: This is the raw data from field and laboratory measurements in which the salt accumulation along inclined surfaces was measured.
DOI: 10.6084/m9.figshare.28779476.v1
title: Dataset Ramos Merino y Suárez Tovar_2025.docx

description: This database contains information on body coloration (light intensity) of damselflies of the genus Argia, collected from sites with varying degrees of urbanization and vegetation cover. These data were collected to evaluate how these insects' coloration responds to changes in their environment.
DOI: 10.17632/7c6y233rys
title: An effective method to calculate RHEED rocking curves from nanoheteroepitaxial systems

description: We report a simulation program which facilitates the calculation of changes in the intensity of specular reflection of electron beams in RHEED experiments for thin epitaxial films deposited on crystalline surfaces. It has been shown that the amplitude of the RHEED intensity oscillations greatly depends on the glancing angle of the incident electron beam, the coverages of the growing layers and the model of the scattering potential. The usefulness of the program has been tested on a well-known system of Ag grown on a Si(111) surface. The obtained experimental and computational results correspond closely. The presented algorithm, together with properly modified input data, can be applied to other systems of crystalline ultrathin layer and substrate. It also enables the implementation and tests of different combinations of the scattering potentials of the crystal, and can be applied to interpret experimental RHEED rocking curves. The previous version of this program (AETW_v1_0) may be found at https://doi.org/10.1016/j.cpc.2014.07.003.
DOI: 10.6084/m9.figshare.7010474.v6
title: Replication Package

description: Thank you for coming to our replication package page! In the zip folder, we include documents, scripts, and data to replicate our study.
DOI: 10.17632/485h8zt7nj
title: Dataset of Citrus Canker Growth Rate through Detached Method

description: The hypothesis of the research was computer vision, image processing programs could be helpful in early detection and identification of citrus canker. For this purpose, initially the dataset was developed by inoculating healthy citrus leaves with disease causing organism (X. citri pv. citri) under Laboratory Controlled conditions. Briefly, six stages of citrus canker development were identified in the infected/disease images. There are total 1636 Images. These stages describe the various stages of disease development. The stages we defined in the dataset were 1) Water Soaking, 2) Yellow chlorosis/initiation (Pale Yellow/Pale Green), 3) Chlorosis, 4) Blister formation, and 5) Canker development start (50% of the inoculated area), and 6) Canker infection (100% of the inoculated area). The images were captured in Crop Diseases Research Institute (C.D.R.I.), National Agricultural Research Centre (NARC), Islamabad Pakistan regularly to measure the growth rate of citrus canker. The dataset is hosted by the Department of Computer Software Engineering, National University of Sciences and Technology-NUST Islamabad, Pakistan and acquired under the mutual cooperation of the NUST and C.D.R.I., NARC Pakistan. The dataset will be helpful for researchers for both plant pathologists and computer vision experts for classifying, detection and identification of citrus canker over specified time. The dataset was developed based on different growth stages thus it will be a novel way to monitor the disease spread. Additionally, the computer vision experts using implication of image processing, machine learning and deep learning techniques can design and build an early warning system by modeling the different disease stages and thus on site efficient robust online application can be generated which could be very useful both for farmers and agriculture department for warning and early detection system.
DOI: 10.17632/7gfdtv2v3m
title: Dataset for Optimized submerged cultivation for γ-aminobutyric acid-enriched sprouts from brown rice

description: This research aimed to find the optimal condition for cultivating sprouted brown rice.
The following conditions were optimized: cultivation water (distilled water (DW) or slightly acidic electrolyzed water (SAEW) with the addition of effective microorganisms), dark cultivation period, seeding density, water level, and temperature.
The parameters measured were: average length, sprouting ratio, fresh weight, dry weight, and GABA content.

First, the optimal cultivation water was determined by combining DW and SAEW with six levels of EM concentrations (0, 0.250, 0.625, 1.000, 1.375, and 1.750 ml/l).
Then, single factor experiments were performed by changing the dark treatment duration, seeding density, water level, and temperature. Each factor was studied separately while fixing all other factors to the standard condition. The standard condition was as follows: cultivation water of SAEW with an EM concentration of 1.00 ml/l, dark treatment for 24 h, seeding density of 0.150 g/cm², water level of 1.5 cm, and culture temperature of 30 °C. The data for these two experiments are uploaded as files 1_1 and 1_2.
Following the single factor experiments, an orthogonal experiment was performed by changing three factors: temperature, seeding density, and water level. The data for this experiment is uploaded as file 2.
Finally, the GAD level was measured to up to 9 days of cultivation. The data for this experiment is uploaded as file 3.
DOI: 10.17632/mpbj3tw2n5
title: Bioaccumulation of metals (REEs) in the St. Lawrence River (2017-2021)

description: The bioaccumulation of metals in benthic invertebrates, zooplankton and fish liver from the St. Lawrence River from 2017 to 2021.

Samples were collected aboard the Lampsilis Research Vessel from UQTR, except in 2022 where a motorboat was used to sample shallower environments and some amphipods were collected along the banks of the river with a kicknet.
Fish were collected with a bottom trawler.
Most invertebrate were collected through the sediment collector.
Invertebrates were depurated 24h.
DOI: 10.17632/v3k8psx895
title: IMI configuration files and TROPOMI data

description: This repository contains configuration files for running the Integrated Methane Inversion (IMI) model for a domain focused on Denmark. 
- config_JulAug2019.yml: IMI configuration file for a two-month inversion covering July and August 2019.
- DNK_adm2.shp and DNK_adm2.shx: Shapefile components for Denmark. These files can be used to delimit emissions and other model outputs to Denmark's boundaries.
- IMI_xch4_prior_posterior_comparison.ipynb: Jupyter notebook to evaluate the prior and posterior XCH4 concentrations throughout the study period.
- StateVectorJulAug2019.nc: State vector file. This file is automatically generated based on the lat/lon bounds of the region of interest.
TROPOMI data (in pickle format) for all bi-monthly periods from May-June 2018 to May-June 2022, where sufficient data is available for the inversions, is also provided in the TROPOMI_data.tar.gz file.
DOI: 10.6084/m9.figshare.28267874.v1
title: eDNA confirms lower trophic interactions help to modulate population outbreaks of the notorious Crown-of-Thorns Sea star

description: Data files and R code pertaining to Wolfe et al. PNAS.All information is outlined in the README file.