cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10250573.v2
title: D11_DDs_sol_1_to_sol_1975_.txt: Measured vortex pressure drops over the first three years of the MSL mission.

description: List of pressure drops measured by the Rover Environmental Monitoring Station (REMS) over the first three Mars years of the Mars Science Laboratory (MSL) Curiosity Rover mission, using the primary method described in “Convective vortex and dust devil predictions for Gale Crater over three Mars years and comparison with MSL-REMS observations” - JGR-Planets, 2019 - by C. E. Newman, H. Kahanpää, M. I. Richardson, G. M. Martinez, A. Vicente-Retortillo and M. Lemmon.<br>These data are used to produce Figures 9, 11 and 12 in that paper.<br><br>MSL sol = sol of the mission<br>Ls = areocentric solar longitudeLMST = local mean solar time <br>LTST = local true solar time <br>Ps drop = drop in surface pressure <br>FWHM duration = duration of pressure drop in terms of its full width at half maximum <br><br>
DOI: 10.17632/ff6tbnjm9x
title: Frugal populists: Fiscal management under populist rule in Europe and the OECD

description: The file below will help replicate the results in the paper. Note: you need the two underlying data sets listed in the .do file below. The preamble of the .do file lists them. You can open the .do file using STATA or a standard Notepad.
DOI: 10.6084/m9.figshare.26508742.v1
title: Empiric gram-negative antibiotics usage among critically ill patients across 13 ICUs of Nepal: A retrospective cohort study

description: This retrospective cohort study examined the use of empiric gram-negative antibiotics among critically ill patients in 13 ICUs across Nepal from January 2020 to December 2022. The study focused on adult patients who received broad-spectrum gram-negative antimicrobials within the first two days of ICU admission without confirmed infection. Among 12,349 eligible patients, 70.6% received empiric gram-negative antibiotics, with 62.8% of these receiving broad-spectrum antibiotics. Patients given broad-spectrum antibiotics were generally older and exhibited higher heart rates, respiratory rates, inspired oxygen fractions, blood sugar levels, total leucocyte counts, and serum creatinine, alongside lower systolic blood pressure, partial pressure of oxygen, and pH levels. The study identified readmission, cardiac support, and mechanical ventilation as factors increasing the likelihood of broad-spectrum antibiotic use. The findings highlight the significant use of broad-spectrum antibiotics in Nepalese ICUs and underscore the need for antimicrobial stewardship programs to manage antibiotic administration effectively and combat antimicrobial resistance.
DOI: 10.6084/m9.figshare.28264046.v1
title: The DNA, GFF, and CDS files of <i>Ficus carica</i>.

description: <b>Fig</b><b><i> </i></b><b>(</b><b><i>Ficus carica </i></b><b>L</b><b><i>.</i></b><b>)</b><b><i> </i></b><b>genome provides insights into flowerless figfruit development, psoralen biosynthesis, and drought tolerance.</b>
DOI: 10.17632/4pvs4w3dng
title: Prediction of pIC50 bioactive values based on knowledge priors and attention neural networks

description: Certainly! Here's a refined version of your text:

The ERα data set is utilized for predicting the bioactive values of pIC50, encompassing 1974 compounds. The dataset includes SMILES representations along with corresponding IC50 values or pIC50 values of ERα. The IC50 (semi-inhibitory concentration) value serves as an indicator of the biological activity level, where lower values suggest greater effectiveness in inhibiting ERα. The pIC50 value is derived by taking the negative logarithm of IC50, with higher values indicating enhanced activity in inhibiting ERα. In this study, pIC50 is employed as the dependent variable for prediction.
DOI: 10.17632/p6dk46nmpx
title: Dataset on the Decolorization of NGB using a UVSulfite system Optimization by RSM V2

description: Response surface methodology on the optimization of Naphthol Green B decolorization using UV/sulfite
DOI: 10.17632/vrj3645vgz
title: The geometric twist of neural manifolds

description: 1) This file contains the code, dataset and some intermediate results for figure in "From Sensory to Perceptual Manifolds: The Twist of Neural Geometry".

2) The code is based on matlab-2017b & 2022b and jupyter.

3) For more details, please see readme in each folder.

4) We modified readme in code.zip compared version 2 mainly caused by changing figure order.
DOI: 10.6084/m9.figshare.15052272.v1
title: Sea level rise and the Great Barrier Reef: the future implications on reef tidal dynamics

description: Raster file output of all models used in the paper "Sea level rise and the Great Barrier Reef: the future implications on reef tidal dynamics", Mawson, Lee, Hill.
DOI: 10.6084/m9.figshare.21582888.v1
title: Supplementary Material for: Automatic Approach Behaviors in Alcohol Dependence: Does a Cognitive Bias Modification Training Affect Pavlovian-to-Instrumental Transfer Effects?

description: <b><i>Introduction:</i></b> Positively conditioned Pavlovian cues tend to promote approach and negative cues promote withdrawal in a Pavlovian-to-instrumental transfer (PIT) paradigm, and the strength of this PIT effect was associated with the subsequent relapse risk in alcohol-dependent (AD) patients. When investigating the effect of alcohol-related background cues, instrumental approach behavior was inhibited in subsequent abstainers but not relapsers. An automatic approach bias towards alcohol can be modified using a cognitive bias modification (CBM) intervention, which has previously been shown to reduce the relapse risk in AD patients. Here we examined the effects of such CBM training on PIT effects and explored its effect on the relapse risk in detoxified AD patients. <b><i>Methods:</i></b> <i>N</i> = 81 recently detoxified AD patients performed non-drug-related and drug-related PIT tasks before and after CBM versus placebo training. In addition, an alcohol approach/avoidance task (aAAT) was performed before and after the training to assess the alcohol approach bias. Patients were followed up for 6 months. <b><i>Results:</i></b> A stronger alcohol approach bias as well as a stronger non-drug-related PIT effect predicted relapse status in AD patients. No significant difference regarding relapse status or the number of heavy drinking days was found when comparing the CBM training group versus the placebo group. Moreover, there was no significant modulation effect of CBM training on any PIT effect or the aAAT. <b><i>Conclusion:</i></b> A higher alcohol approach bias in the aAAT and a stronger non-drug-related PIT effect both predicted relapse in AD patients, while treatment outcome was not associated with the drug-related PIT effect. Unlike expected, CBM training did not significantly interact with the non-drug-related or the drug-related PIT effects or the alcohol approach bias.
DOI: 10.6084/m9.figshare.27652107.v1
title: Black Soil Layer Thickness Dataset of NE China

description: Black soil layer thickness (BSLT) is a basic attribute of black soil and also an important indicator reflecting the quality condition and degradation degree of black soil. It is important to carry out the research on spatial prediction of BSLT to support the black soil conservation project and guarantee food security in China. In this paper, with reference to the diagnostic characteristics of BSLT in soil system classification, the organic carbon content higher than 6g/kg of soil-forming parent material is taken as the judgment criterion of BSLT, and the calculation formula of BSLT is derived by using the exponential distribution function of organic carbon in vertical direction. Meanwhile, based on the organic carbon data of 62,896 surface soils and 15,687 deep soils obtained from the multi-purpose regional geochemical survey, the spatial prediction of the thickness of BSLT in Songliao Plain was carried out, and its relationship with soil type and climate was analyzed. The results showed that the BSLT in Songliao Plain ranged from 0-165 cm, with a median of 23.33 cm. The spatial distribution of black soil layer was extremely uneven, with an overall distribution characteristic of thin in the southwest and thick in the northeast. The black soil layer of swampy soil and peat soil is the largest in 60-80cm, followed by black soil with an average thickness of 56cm, and the average thickness of black soil layer of white pulp soil and meadow soil is between 40-50cm. The spatial distribution of black soil layer thickness is closely related to climatic conditions, mainly showing a significant negative correlation with temperature and a positive correlation with rainfall.
DOI: 10.6084/m9.figshare.28590341.v1
title: Datasets used to study funding allocation by gender across faculty rank and areas of knowledge.

description: 1) R&D&I grants by gender in Spanish public universities - from 2013 to 20222) Professors - Research staff disagregatted by gender and areas of knowledge - from 2015 to 20223) Full professors - Research staff disagregatted by gender and areas of knowledge - from 2015 to 2022<br><br>References:(1): AGENCIA ESTATAL DE INVESTIGACIÓN. «Buscador de Ayudas Concedidas | Agencia Estatal de Investigación», marzo de 2023. https://www.aei.gob.es/ayudas-concedidas/buscador-ayudas-concedidas?year=All&convocatory=Proyectos+de+I+D+I+(Generación+de+Conocimiento+y+Retos+Investigación)&code=&area=&subarea=&title=&keywords=&cif=&name=&ccaa=All&province=All&granted[min]=&granted[max]=&summary=.<br>(2), (3): Ministerio de Universidades, Sistema Integrado de Información Universitaria (SIIU). «PDI permanente en centros propios de universidades públicas por categoría, sexo y rama de enseñanza». Accedido 1 de julio de 2024. https://estadisticas.universidades.gob.es/jaxiPx/Tabla.htm?path=/Universitaria/Personal/EPU22/PDI/PDI_PERM//l0/&file=PDIP0106.px&type=pcaxis&L=0.
DOI: 10.17632/4yhdt3x9wx
title: MGS TES vertical profiles of water vapor mixing ratios in the Martian atmosphere for select seasons in MY25.

description: This dataset contains data related to the manuscript titled, “Retrievals of vertical distribution of the Martian water vapor from combined day-night MGS TES nadir observations” by Pankine et al. (2023), submitted to journal Icarus. These data products include: (1) vertical profiles of water vapor mixing ratios retrieved from Mars Global Surveyor (MGS) Thermal Emission Spectrometer (TES) spectra collected during Ls=100, 180, 270 and 345 deg in MY25; (2) vertical profiles of water vapor mixing ratios extracted from Mars Climate Database (MCD) and retrieved from synthetic radiances at Ls=90, 180, 270 and 360 deg in MY25; (3) data products associated with the analysis of the retrieval algorithm performance and analysis of the retrieved vapor profiles. A detailed description of the datasets can be found in the manuscript.
DOI: 10.17632/75yt9j86r2
title: landslide data

description: Landslide related factors.
DOI: 10.17632/j2pprx5w8d
title: GEOPHYSICAL AND GEOTECHNICAL APPROACH TO CHARACTERIZE A CONSTRUCTION AND DEMOLITION WASTE

description: Research objectives: This study aims to determine the geological and geotechnical characteristics of an anthropogenic deposit, which consists of a construction and demolition waste landfill. Method overview: The method encompassed: mapping, with a sample collection was carried out; determinations of soil penetration resistance, with a dynamic penetrometer, which was used to determine the penetration resistance of the surface layers of the landfill and surrounding natural material areas; hydraulic conductivity determination; electrical resistivity property using geophysics and particle size analysis. The following data items were made available: 1. Geophysics: They content a list of apparent resistivity due to the heterogeneity of the medium. For the survey, five parallel lines were used. 2. Hydraulic conductivity: It contents a list with the results of measuring the water´s lowering speed. 3. Dynamic Penetrometer: They content a list of the penetration of the cone (centimeter) measured after each blow, for a total of 32 points. 4. Granulometric analyses: They content a list with the result of the complete granulometric analyses.
DOI: 10.6084/m9.figshare.25153358.v7
title: Raw data and code for IPN-NFID - Mahalanobis

description: <br>Version: 20240208<br>-------------------------------------------------------------------------<br>Authors:<br> César Enrique Rojas-López, IPN-ESIME Culhuacan.<br> Omar Jiménez-Ramírez, IPN-ESIME Culhuacan.<br> Luis Niño-de-Rivera-Oyarzabal, IPN-ESIME Culhuacan.<br> Leonardo Palacios-Luengas, UAM-Iztapalapa. <br> Rubén Vázquez-Medina, IPN-CICATA Querétaro.<br><br>Contact: ruvazquez@ipn.mx | February 2024<br><br>-------------------------------------------------------------------------<br>DESCRIPTION:<br>This folder contains the following files:<br><br>3 Excel files:<br> - Disputed flat images - 01 Ref img - 1000X1000.xlsx<br> The results presented here correspond to Case A1 of the article referenced below and deal<br> with the identification of capture devices from flat images using a reference image to compute the fingerprint of the smartphone camera. <br> - Disputed flat images - 15 Ref img - 1000X1000 .xlsx <br> The results presented here correspond to Case A2 of the article referenced below and deal<br> with the identification of capture devices from flat images using fifteen reference image to compute the fingerprint of the smartphone camera. <br> - Disputed natural images - 15 Ref img - Selecc Pix - 2Sigma.xlsx<br> The results presented here correspond to Case B of the article referenced below and deal with the identification of capture devices from natural images using average 15 reference image to compute the fingerprint of the smartphone camera.<br> <br><b>RELATED PAPER</b>:<br>TWO-DEGREE OF FREEDOM MAHALANOBIS CLASSIFFIER FOR SMARTPHONE CAMERA IDENTIFICATION FROM NATURAL DIGITAL IMAGES. César Enrique Rojas-López, <br>Omar Jiménez-Ramírez, Leonardo Palacios-Luengas, Luis Niño-de-Rivera, and Rubén Vázquez-Medina. <br>PeerJ Computer Science, Published paper: December 19, 2024. eISSN: 2376-5992. PEERJ INC. ENGLAND. DOI: 10.7717/peerj-cs.2513.
DOI: 10.6084/m9.figshare.6962621.v1
title: Oil-Segmented-Water

description: Segmented water phase for image: Oil-Filtered Segmentation performed using Watershed segmentation in Avizo. Image Dimension: 1024×1024×845 Image Type: 8 bit
DOI: 10.17632/gfw7x8g6fc
title: Database and deep learning models for the prediction of total demand and maximum generation of electricity in Bangladesh

description: This work is based on the modification of the "BanE-16" dataset Salehin et al. (2023), obtained from a repository which integrates the dynamics of the Bangladesh power grid with meteorological variables. The dataset comprises peak power demand, environmental factors such as temperature, wind speed and atmospheric pressure, as well as electricity generation statistics. It is crucial to highlight that in order to prevent the introduction of bias into the analysis due to temporal patterns, we have chosen to exclude data capture dates from the model. This is because the focus of this work is on the underlying weather and energy relationships, regardless of time. Furthermore, a total of 52 rows in the original set were excluded due to the absence of data on total demand, maximum generation, or both variables. This was done in order to ensure a correct fit by the trained model.

The repository consists of three folders, each corresponding to one of the models used: the Simple Artificial Neural Network (ANN), the Multilayer Artificial Neural Network (ANN), and the Long Short-Term Memory (LSTM) network. Each folder contains both the simulators and the database and best fits obtained for the respective models.

Reference: Salehin, Imrus; Noman, S. M. (2023), “Peak Energy Demand in the Electricity Energy Dataset BanE-16”, Mendeley Data, V2, doi: 10.17632/3brbjpt39s.2
DOI: 10.17632/nkmbg6r4nj
title: Research Data - Digital Influencers and the Impact on Brand Purchase Intentions and Engagement Behavior of Pregnant and Lactating Women

description: In this file, the raw data resulting from the data collection with respondents of the study titled: Digital Influencers and the Impact on Brand Purchase Intentions and Engagement Behavior of Pregnant and Lactating Women is available. 

Abstract
Digital influencers have established themselves in the marketing context, promoting brands and disseminating information across various demographics. This study analyzed the impact of these influencers on brand purchase intentions and the engagement behavior of pregnant and lactating women. A quantitative approach with a survey method was adopted, with a sample of 395 participants. Descriptive and inferential statistical analysis included structural equation modeling (SEM). The results indicate a positive influence on both purchase intentions and brand engagement in self-concept and perceived brand value, as well as on the engagement behavior of women with influencer posts. It was also observed that brand engagement in self-concept influences expected brand value and affects engagement behavior, although no evidence was found that it impacts purchase intentions. Regarding expected brand value, its influence on the purchase decisions of promoted brands was noted, but the relationship with engagement behavior did not show significance. This study offers valuable insights for marketing strategies aimed at pregnant and lactating women, a group that requires special attention due to the physiological and emotional developments characterizing this life stage.

Keywords: Digital influencers, Pregnant and lactating women, Purchase intention, Engagement behavior
DOI: 10.17632/t9p23k3pyn
title: OLUTM Model Dataset

description: The data here was used to simulate transportation and land-use models. Files (1-3) are our base data with travel simulation outcomes. File (4) is the data collected for the Employment Distribution model in the manuscript. File (5 and 7) are necessary data pools to perform File 6; the Employment Allocation Model. The Household Allocation Model also requires the use of raw data in File 7 and File 1. The decision-making process for the Household Allocation model and the Employment Allocation model is based on the Monte Carlo instrument in File 8. Lastly, Land use change sampling and the maximized model are available following data from our synthetic dataset (FIle 2). All the information is based on several input requirements for an integrated land use and transport microsimulation model. The information within corresponds to the data sample collected on-site in September 2019 (File 1). The rest of the datasets are openly provided by the local government of Indonesia on websites cited in the manuscript. Datasets are all used for microsimulation models in the manuscript.
DOI: 10.6084/m9.figshare.1012526.v1
title: Experimental and calculated binding energies, intensities and natural linewidths (Γ) of the 3d photoelectron spectrum of the atomic gallium

description: <b>Table 1.</b> Experimental and calculated binding energies, intensities and natural linewidths (Γ) of the 3d photoelectron spectrum of the atomic gallium. The binding energies are given with respect to the ionization threshold of 26.522(6) eV (experimental) and 24.232 eV (calculated) corresponding to the <sup>2</sup>P<sub>3/2</sub> − 3d<sup>−1</sup>(<sup>3</sup>P<sub>2</sub>) transition. The relative binding energy error was estimated to be ±5 meV. The leading mixing coefficients for the 3d ionized states in <em>LSJ</em> coupling are present in table 2. <strong>Abstract</strong> We present an experimental and theoretical study of 3d photoionization and subsequent Auger decay of atomic gallium. The synchrotron radiation-induced electron spectra have been compared and analysed using multiconfiguration Dirac–Fock calculations. It has been shown that the theoretically predicted photoelectron spectrum is in rather good agreement with the experiment allowing us to identify the main spectral features. However, prediction of the Auger decay intensities fails due to calculational difficulties for the continuum wavefunctions of very low kinetic energy Auger electrons.
DOI: 10.6084/m9.figshare.26062966.v4
title: Obtaining a PhD in Portugal. Determinants of Success and Subsequent Career Paths

description: This study analysed the career paths of 5800 individuals who benefited from a doctoral scholarship, using four cohorts of scholarships which began in 1995-1997, 2001-2002, 2006, and 2012. The following research questions were addressed:1. How do different groups of scholarship recipients compare in terms of success rate and time to obtain a degree, based on variables such as gender, nationality, age at the start of the scholarship, field of study, and location of the awarding university?2. What is the persistence of these doctoral graduates in the Portuguese R&D system and what are the characteristics of their post-doctoral careers?
DOI: 10.6084/m9.figshare.28270784.v2
title: covid19_analytics_library_package_data_SEIR_model

description: SARS-CoV-2, SEIR modeling, Growth rates, Epidemic analysis, Italy population
DOI: 10.6084/m9.figshare.28379210.v1
title: <b>Reunification of an invasive plant with its specialist herbivore selects for rapid adaptive changes in defensive volatiles</b>

description: Reassociation of invasive plant species with specialist herbivores can select for the restoration of original defense syndromes, however, we know little about how volatile components of plant defenses respond to such reunions. We studied populations of invasive Ambrosia artemisiifolia with varying reassociation histories with the specialist Ophraella communa and found that longer reassociations correlated with higher abundances and diversities of generalist herbivores in common garden experiments. Plants with longer reassociation histories were less attractive to O. communa, and this correlated with reduced emissions of limonene, in turn correlating with increased defense against O. communa. In contrast, longer reassociated plants were more attractive to the generalist Spodoptera littoralis and the reduced limonene emission correlated with weaker defense against Spodoptera. Our results imply that a specialist may drive the rapid evolution of volatile-related defenses, enhancing plant resistance to this specialist but at the cost of weaker defense against a generalist.
DOI: 10.6084/m9.figshare.6009143.v5
title: Data_and_Scripts_for_Takasuka_etal_JAMES

description: A part of data and scripts for creating figures in Takasuka et al. (JAMES)
DOI: 10.6084/m9.figshare.12894296.v1
title: Bootstrap Indexes

description: These are indexes for the 2000 bootstrap resamples for dimensions {2,5,10.20}, using Dx{100,178,316,562,1000} points, produced using a uniformly distributed integer number random generator, through the MATLAB function randi(). Unfortunately, seed value was not recorded.<br>If you use this dataset please use the citation for the complete collection, as follows:<br>Mario A. Muñoz "LEOPARD: LEarning and OPtimization Archive of Research Data, Version 1.0" Aug. 2020 DOI:10.6084/m9.figshare.c.5106758.
DOI: 10.17632/fdv9m38c2f
title: The Effect of Female Leadership on Contracting from Capitol Hill to Main Street

description: Code and data to replicate results in: "The Effect of Female Leadership on Contracting from Capitol Hill to Main Street" by Jonathan Brogaard, Nataliya Gerasimova, and Maximilian Rohrer, forthcoming in the Journal of Financial Economics. Please see the README file for details on files and code provided.