cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14382758.v1
title: PISCO_HyM_GR2M_v1.1

description: The<b> PISCO_HyM_GR2M</b> product (Llauca et al., 2021) was developed using gridded (0.1º x 0.1º) meteorological data of precipitation and evapotranspiration from the PISCO dataset (Aybar et al., 2019) of SENAMHI and the conceptual GR2M hydrological model in 3,594 sub-basins and river streams in Peru including transboundary basins, through a regionalization approach using the Fourier Amplitude Test (FAST) method and two hydroclimatic indices.<br>This new product contains monthly data from January 1981 to March 2020 for the following variables:- PR or precipitation at the sub-basin level in [mm/month].- AE or actual evapotranspiration at the sub-basin level in [mm/month].- SM or soil moisture at the sub-basin level in [mm/month].- RU or runoff at the sub-basin level in [mm/month].- QR or discharge at the river stream level in [m<sup>3</sup>/s].<br>For more details about the data please see the 'Readme.txt' file.<br>Enjoy!
DOI: 10.6084/m9.figshare.22004750.v1
title: Visium DLPFC preprocessed .rds

description: Preprocessed .rds data from https://github.com/LieberInstitute/spatialLIBD used for the benchmarking of the spatial clustering methods in CellCharter.
DOI: 10.6084/m9.figshare.24121338.v1
title: Time series analysis of the Bajocian-Bathonian Smrekovo Korito section, Adriatic Carbonate Platform, Croatia [dataset]

description: The tables provide supporting information regarding the time series analysis presented in the paper 'Milankovitch record from Middle Jurassic platform supports moderate coolhouse glaciation' published in Paleoceanography and Paleoclimatology.
DOI: 10.6084/m9.figshare.25898104.v1
title: Cizauskas et al 2024 Sup. - AJP Heart 5.10.24.pdf

description: This is the supplemental data for Cizauskas et al. 2024 manuscript titled: <b>Proteolytic degradation of atrial sarcomere proteins underlies contractile defects in atrial fibrillation</b>
DOI: 10.6084/m9.figshare.26490208.v2
title: Mental Health & Cognitive Function Data

description: Pre-Post Intervention Mental Health and Cognitive Function Variables Dataset
DOI: 10.17632/jf43bxxp8y
title: Exploring factors influencing the green purchase intention toward soft drink products

description: The dataset provides valuable insights into college and university students’ green purchase intentions. The data collection process was carried out from December 2024 to January 2025. A questionnaire was distributed to students at colleges and universities in the Mekong Delta, Viet Nam. After removing answer sheets with missing or identical choices, 387 of the 431 responses collected were considered valid for analysis.
DOI: 10.17632/jj7ks3kf8x
title: Environmental attitudes and intentions on pro-environmental behavior in engineers

description: This database has data obtained from the application of a survey to engineering students and active engineers in the maquiladora industry of Ciudad Juárez. The database has been used to measure the impact of environmental intentions on environmental attitudes and the impact that private pro-environmental behaviors have on public pro-environmental behavior. After collecting the data, they are used in a structural equation model to obtain the results of the impacts of the variables analyzed.
DOI: 10.17632/tjfr3ddc52
title: Morphological study of fleas in genus Ctenocephalides

description: Images depicting morphological features of fleas in the genus Ctenocephalides. Included taxa are: Ctenocephalides felis, C. canis, C. orientis, C. connatus and an unknown species denoted as Ctenocephalides sp. 'AL909' (female only). Unknown species is morphologically indistinguishable from C. f. felis, males are needed to confirm species identity. Subspecies included are: Ctenocephalides felis felis, C. f. strongylus, C. f. damarensis (male only) and an intermediate form denoted as C. f. "transitional". Images depict male and female specimens for each species. Image names are in the format (SUB)SPECIES_SEX_SAMPLE IDENTIFIER(ALXXX-X)_FEATURE. Key to terminology: LMA = Lateral metanotal area (note: number of bristles) SPB tarsi = spiniform plantar bristles present on fore tarsus V
DOI: 10.6084/m9.figshare.1560030.v1
title: Allelic Frequencies Paramuricea clavata Atlantic and Mediterranean

description: This is a high resolution figure showing the allelic frequencies computed in the R package StandArich, of Paramuricea clavata from the following loci: Parcla 9 Parcla 10 Parcla 12 Parcla 14 Parcla 17 and Par_d Samples were collected in the Atlantic (Portugal) and Mediterranean.
DOI: 10.6084/m9.figshare.23993514.v1
title: Research Data.xlsx

description: This data is the research data used in the paper named <i>The Heterogeneous Impact of Fintech on the Profitability of Commercial Banks: Competition and Spillover Effects</i>.
DOI: 10.6084/m9.figshare.27175146.v1
title: Base de datos de Artículos sobre RSL

description: Base de datos en Excel con la información de los artículos sobre la originalidad de obras de arte digital creadas con inteligencia artificial generativa.
DOI: 10.6084/m9.figshare.20205617.v5
title: Longitudinal clinical simulation cohorts

description: <strong>Rotroff Lab</strong> <strong>2022-07-01</strong> This repository contains simulated datasets related to <code>Identification of Robust Deep Neural Network Models of Longitudinal Clinical Measurements</code> article published in <em>npj Digital Medicine</em> (2022). These datasets were simulated by manipulating shapes and magnitudes of clinical longitudinal measurements of random blood glucose tests, systolic blood pressure and BMI. Per clinical measurement type, 3168 datasets were generated. In half of these datasets, classes were defined by differences in shape (50%, N=1584) and in the other half, classes were defined by differences in magnitudes (50%, N=1584). The complete list of parameters manipulated is as follows: Effect Size: 0.25-2.75 Dispersion: 0.25-2.00 Noise: 0%, 10%, 25%, 50% Irregularity: Moderate (0-3 missing measurements) or High (2-5 missing measurements) For more information on the simulations, please refer to the Methods section of the paper. Please note that with the inclusion of class imbalance, the total number of cohorts increased to 12,672 in the paper. <strong>Parameter annotations</strong> The parameters are annotated in the file names as follows: _Simulated_Cohort_EffectSize_Dispersion_Noise_Irregularity_OverlapBetweenClasses.csv When <code>IrrNMP</code> is used for Irregularity, no irregularity is applied. <code>OverlapBetweenClasses</code> specifies the overlap between the two classes. <strong>Directory Structure</strong> The directory structure for each clinical measurement type is as follows: bmi_simulation (N=1056)mag_cohorts shape_cohorts <code>Simulation_Cohort_IDRandomNumber</code>: Random trajectory base 4 irregularity_cohorts other_cohorts <code>Simulation_Cohort_ID_RandomNumber</code>: Random trajectory base 5 irregularity_cohorts other_cohorts <code>Simulation_Cohort_ID_RandomNumber</code>: Random trajectory base 6 irregularity_cohorts other_cohorts glucose_simulation (1056)mag_cohorts shape_cohorts sbp_simulation (N=1056)mag_cohorts shape_cohorts <strong>Note:</strong> <code>irregularity_cohorts</code>: Effect sizes, dispersions and irregularity were manipulated in these files. <code>other_cohorts</code>: Effect sizes, dispersions and noise were manipulated in these files. <br> <br> Please cite the following paper and this dataset in your work: <br> H. Javidi, et al., Identification of Robust Deep Neural Network Models of Longitudinal Clinical Measurements, Nature Digital Medicine, 2022.
DOI: 10.6084/m9.figshare.21394350.v1
title: Supplementary Material for: Intralesional Measles, Mumps, Rubella Vaccine versus Tuberculin Purified Protein Derivative Injections in the Treatment of Palmoplantar and Periungual Warts: A Double-Blind Randomized Controlled Trial

description: <b><i>Background:</i></b> Palmoplantar and periungual warts tend to be recalcitrant. Intralesional immunotherapy can provide high efficacy with additional benefit to distant warts. However, evidence on comparative effects between intralesional immunotherapy with measles, mumps, rubella vaccine (MMR) and tuberculin purified protein derivative (PPD) and roles of dermoscopy in predicting treatment outcomes in palmoplantar/periungual warts is limited. <b><i>Objectives:</i></b> The study aimed to compare efficacy and safety of intralesional MMR and PPD injections in treatment of palmoplantar/periungual warts and explore associations between dermoscopic findings and treatment outcomes. <b><i>Methods:</i></b> We conducted a double-blind randomized controlled trial involving 40 patients with palmoplantar/periungual warts who were equally assigned to receive MMR or PPD. Intralesional injection was done every 2 weeks until clearance or maximum of 5 treatments. <b><i>Results:</i></b> Complete resolution was higher in MMR than PPD group (90.0% vs. 80.0% in index lesion and 81.3% vs. 54.6% in distant lesions, respectively), although the differences were statistically nonsignificant. Dermoscopic findings were not significantly associated with complete resolution. Local swelling, i.e., the most common adverse event, occurred more frequently in PPD (40.0%) than MMR group (10.0%). <b><i>Conclusion:</i></b> This study suggests that intralesional immunotherapy with either MMR or PPD is efficacious in palmoplantar/periungual warts, with MMR showing a trend toward higher clearance and lower adverse events.
DOI: 10.6084/m9.figshare.28936451.v1
title: Dataset.pdf

description: This is Dataset for "Adoption of Internet of Things and Artificial Intelligence in Smart City, Its Risks and Challenges: A Comprehensive Review" Scientific Article.
DOI: 10.17632/5pzdd8t9gk
title: Teacher-Student Relationship and Academic Performance Survey Dataset from Bangladeshi Universities: A Student-Conducted Study

description: This dataset contains survey responses collected from university students across Bangladesh, focusing on teacher-student relationships (TSR) and their impact on academic performance. The survey was conducted by students to gain insights into various aspects of TSR, including interaction quality, academic support, encouragement, and student engagement. The dataset also includes demographic information, university affiliations, and subjective feedback on areas needing improvement in TSR.

#Key Features:

*Demographics: Age, gender, university name, department/program.
*TSR Metrics: Interaction, assistance, encouragement, relationship quality, and online learning experiences.
*Academic Performance Indicators: Self-reported academic outcomes and TSR impact assessment.
*Qualitative Feedback: Open-ended responses on improving teacher-student relationships.

#Potential Applications:

*Analyzing the correlation between TSR and student performance.
Identifying gaps and areas for improvement in university teacher-student interactions.
*Supporting educational policy-making and institutional development in Bangladesh.
DOI: 10.6084/m9.figshare.16742407.v1
title: RF_imputed_1

description: Experimental averages, management, and environmental data for every experiment, across all genotypes, including sites with missing lat/longs:<br>Random-forest imputed data for each site, including linearly interpolated satellite data, environment and management variables. Each is the first of 25 large imputations. Contact me for the entire (bulky) dataset.<br><br>
DOI: 10.6084/m9.figshare.23001491.v1
title: <em>GCKR</em> rs1260326, <em>ADIPOQ</em> rs266729, and rs1501299

description: The three SNPs (<em>GCKR</em> rs1260326, <em>ADIPOQ</em> rs266729, and rs1501299) were analyzed by multiplex polymerase chain reaction (PCR) combined with next-generation sequencing methods in 519 GDM patients and 498 controls.
DOI: 10.17632/cksnz97mcm
title: ML Journal data

description: Nigeria, like many nations in the world, is embattled by a housing shortage. It has a housing deficit running to 20 million. There has been a proposition that Off-Site Construction (OSC), because of its speed of erection, can help in combating the housing shortage. however, for it to be adopted in society, some factors have to be considered. what then are these factors and which of them are most critical to successfully adopting OSC within the Nigerian context?
This work is researched by utilizing prediction capabilities for OSC adoption in Nigeria. Data was collected through questionnaires from industry players within the Nigerian construction industry (Boothman et al., 2014.; Brannen & Moss, 2012). First, literature relating to OSC and its adoption was sourced through scholarly search engines like Google Scholar and Scopus (Almalki, 2016; O'Neill & Organ, 2016). The literature survey used key search words and phrases such as adoption, Design for Manufacture and Assembly, Offsite Construction and Prefab Constructions, and key authors' names. Specifically, research published on the subject between 2000 to 2021 were considered. A review of these papers informed the potential critical factors responsible for low DfMA adoption in Nigeria.

The questionnaire was developed in Microsoft form. Using a purposeful sampling technique (Palinkas et al., 2015), the form link was administered to relevant key players in the Nigerian construction industry through e-mails and social media platforms for responses. The targeted responders were architects, civil/structural engineers, electrical engineers, mechanical engineers, building engineers, town/urban planners, quantity surveyors, contractors, academics, real estate investors, and developers. They were considered because they are thought to be actively involved in everyday construction processes in the country and involved in making and taking decisions bordering around the choice of building materials to be used on projects. 
The research outcome identifies seven (7) best performing algorithms: Decision Tree, Random Forest, K-Nearest Neighbour, Extra-Trees, AdaBoost, Support Vector Machine, and Artificial Neural Network. It also reported finance, awareness, use of Building Information Modeling (BIM), attitude and belief in OSC as the main influencing factors. Availability of expertise knowledge, favourable exchange rate and skilled personnel as other underlining influencing factors. It was concluded that with detailed attention paid to the identified factors, OSC usage could find its footing in Nigeria and, consequently, Africa. The models can also serve as a template for other regions where OSC adoption is being considered.
DOI: 10.17632/w8htd7vmwh
title: Machine learning enhanced empirical potentials for metals and alloys

description: Interatomic potential (i.e. force-field) plays a vital role in atomistic simulation of materials. Empirical potentials like the embedded atom method (EAM) and its variant angular-dependent potential (ADP) have proven successful in many metals. In the past few years, machine learning has become a compelling approach for modeling interatomic interactions. Powered by big data and efficient optimizers, machine learning interatomic potentials can generally approximate to the accuracy of the first-principles calculations based on the quantum mechanics theory. In this works, we successfully developed a route to express EAM and ADP within machine learning framework in highly-vectorizable form and further incorporated several physical constraints into the training. As it is proved in this work, the performances of empirical potentials can be significantly boosted with few training data. For energy and force predictions, machine tuned EAM and ADP, can be almost as accurate as the computationally expensive spectral neighbor analysis potential (SNAP) on the fcc Ni, bcc Mo and Mo-Ni alloy systems. Machine learned EAM and ADP can also reproduce some key materials properties, such as elastic constants, melting temperatures and surface energies, close to the first-principles accuracy. Our results suggest a new and systematic route for developing machine learning interatomic potentials. All the new algorithms have been implemented in our program TensorAlloy.
DOI: 10.6084/m9.figshare.13198682.v1
title: 2017_weather_data.csv

description: This data set contain 4 years of weather data from a field station in Mount Vernon, MO situated near an experimental vineyard. These data were used to make sense of physiological responses to an irrigation treatment applied to the vineyard in 2017.
DOI: 10.6084/m9.figshare.13565168.v2
title: TGIF-DB datasets

description: Sequences and homology search results for TGIF-DB.
DOI: 10.6084/m9.figshare.14045585.v2
title: Dataset2 for Robust weighted principal components analysis demodulation algorithm for phase-shifting interferometry

description: Dataset2 for Robust weighted principal components analysis demodulation algorithm for phase-shifting interferometry
DOI: 10.6084/m9.figshare.21505425.v1
title: Process Data.xlsx

description: Android Open Source Data and Smartphone Release
DOI: 10.6084/m9.figshare.23044853.v1
title: Chamaerops humilis chorology

description: Distribution map of <em>Chamaerops humilis</em>.<br> <br> <br> These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br> <br> Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br> <br> Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901 <br> <br> <br> Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5414350.v1
title: Dataset - Neural computations underpinning the strategic management of influence in advice giving

description: This is the behavioural data set and matlab scripts used to generate the figures in the paper "Neural computations underpinning the strategic management of influence in advice giving ".The zip file contains the data folder with csv file for each participants, and a scripts folder for Matlab to read the data and run the data analysis.
DOI: 10.17632/8z3x7cscs3
title: Automatic Segmentation and Diameter Measurement of Deep Medullary Veins

description: The in vivo images, ground truth masks, trained model, and MATLAB codes for diameter measurment of Deep Medullary Veins (DMV) for a study titled "Automatic Segmentation and Diameter Measurement of Deep Medullary Veins". Which is expected to be published on Magnetic Resonance in Medicine.
DOI: 10.17632/km724c2kpt
title: Vostok: A New Looping Factor for the Organization of the Regulatory Genome in the Drosophila Brain

description: Imaging data from Figures S2 and figures 3G, 3H
Vostok mutant (single 647 channel) of control and Vostok mutant.
HCR FISH of Pvf3 long isoform (647 channel 2) and short isoform (594 channel 3) in the brain of Drosophila melanogaster third instar larvae. Samples are from yw or Vostok mutant. Channel 1 is nucleus stained by Hoechst.2
DOI: 10.6084/m9.figshare.12275207.v1
title: Database.xlsx

description: Database from a research about perceived quality of built environment, service, satisfaction and value in use, in the context of residential buildings
DOI: 10.6084/m9.figshare.20472684.v1
title: Influence of niche dimensionality on functional diversity, beta diversity and community assembly in plant communities

description: To study on niche dimensionality of species coexistence in natural ecosystem also should broadened its view beyond a focus on local alpha diversity, simultaneously considering the influence of niche dimensionality on functional diversity, the temporal dynamics of species composition, as well the transition of niche and neutral processes
DOI: 10.6084/m9.figshare.24894363.v2
title: A dataset containing speciation rates, uncertainty, and presence-absence matrices for more than 34,000 vertebrate species

description: The increasing availability of phylogenetic data has facilitated the exploration of macroecological and macroevolutionary patterns across diverse spatial and temporal scales. However, calculating some model-based diversification metrics often requires significant computational power and time. To address this, I present a comprehensive dataset of Bayesian diversification rates for over 34,000 vertebrate species, spanning five major groups: amphibians, birds, mammals, reptiles, and sharks. This is the first large-scale dataset of its kind, providing both continuous and binary data for speciation rates and presence-absence matrices, respectively, with global coverage. The dataset not only enables analyses of evolutionary and spatial diversity patterns but also democratizes access to data-intensive studies. Additionally, as it is based on Markov chains, the dataset can be customized and extended without the need to start from scratch, offering flexibility for future research on diversification dynamics.
DOI: 10.17632/drg9gns8tb
title: HEAT TOLERANCE, REPRODUCTIVE HEALTH, RESPIRATORY AND CARDIAC ACTIVITY OF AQUATIC ANIMALS EXPOSED TO DICLOFENAC

description: Diclofenac (DCF) is one of the most important pharmaceutically active compounds present in the water cycle of wastewater treatment plants and often presents in aquatic ecosystems. The potential toxicity of DCF for non-target organisms has been previously highlighted, thus impact of its environmentally relevant concentrations on aquatic invertebrates deserves a special attention. To recognize effects of DCF on resistance and reproductive state of aquatic animals a set of biological endpoints: survival, fecundity, embryo abnormalities, respiration and heart rates, heat tolerance and cardioresistance in two freshwater invertebrates (gammaridean amphipod Gmelinoides fasciatus and bivalve mollusc Unio pictorum), exposed (96 h) to environmental relevant DCF concentrations, from 0.001 and 2 μg/ L, were evaluated. Experimental exposure to these concentrations of DCF resulted in distinct effects of DCF on the metabolism, reproduction and stress-resistance in both studied species (mollusc U. picrorum and amphipod G. fasciatus). An increase in thermal resistance (critical temperature maximum) in both studied species were recorded accompanying by the elevated metabolic rate, measured as the rate of oxygen consumption in amphipods (at DCF of 0.1-2 μg/L) and as heart rate at various temperatures (25 and 30ºC) and 0.1 μg/L of DCF in mollusks. In spite of DCF facilitated the increase in resistance of animals to heating, internal reserves of organisms can notably deplete due to elevated (up to 1.5-2 times compared to the control) energy requirements for adaptation in the presence of DCF. This study provided evidence that the elevated level of DCF (&gt;0.9) can adversely affect amphipod (G. fasciatus) embryos status, increasing the number of embryos with arrested development with their further death and abortion. Sensitivities of various endpoints to diclofenac at used levels were not equal and varied depending on endpoint used, species stages and physiological functions.