cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xxf6fc2vjm
title: Review of the finite difference Hartree–Fock method for atoms and diatomic molecules, and its implementation in the x2dhf program

description: We present an extensive review of the two-dimensional finite difference Hartree–Fock (FD HF) method, and present its implementation in the newest version of x2dhf, the FD HF program for atoms and diatomic molecules. The program was originally published in this journal in 1996, and was last revised in 2013. x2dhf can be used to obtain HF limit values of total energies and multipole moments for a wide range of diatomic molecules and their ions, using either point nuclei or a finite nuclear model. Polarizabilities (α_zz) and hyperpolarizabilities (β_zzz, γ_zzzz, A_z,zz, B_zz,zz) can also be computed by the program with the finite-field method. x2dhf has been extensively used in the literature to assess the accuracy of existing atomic basis sets and to help in developing new ones. As a new feature since the last revision, the program can now also perform Kohn–Sham density functional calculations with local and generalized gradient exchange-correlation functionals with the Libxc library of density functionals, enabling new types of studies. Furthermore, the initialization of calculations has been greatly simplified. As before, x2dhf can also perform one-particle calculations with (smooth) Coulomb, Green–Sellin–Zachor and Krammers–Henneberger potentials, while calculations with a superposition of atomic potentials have been added as a new feature. The program is easy to install from the GitHub repository and build via CMake using the x2dhfctl script that facilitates creating its single- and multiple-threaded versions, as well as building in Libxc support. Calculations can be carried out with x2dhf in double- or quadruple-precision arithmetic.
DOI: 10.17632/y9mxzcrbbw
title: LINF_170014400

description: Methyltransferase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zv3wyj2pwc
title: Multi-Air Pollution Risk Index in Southeast Asia Region

description: Multi-air pollution risk index product for CO, NO2, and SO2 based on Sentinel-5P remote sensing data from 2019 to 2020 in Southeast Asia region was developed by integrating hazard, vulnerability, and exposure analyses. Eight stages of data processing were used in this study, which yielded the hazard index, air pollution statistics, the vulnerability index, and the risk index. In addition, data validation, air pollution risk opportunities, and time-series data in rural and urban areas were obtained. Data integration generally use the Google Earth Engine.
DOI: 10.6084/m9.figshare.15000441.v1
title: GSE106666_3m_H3K27ac_mm39.bigwig.sorted.chr2

description: mm39 chr2 chip data
DOI: 10.17632/xwmf33hr28
title: Decision Tree

description: Decision tree model to determine the outcome of previous (historical) insemination records of Canadian Holsteins as pregnant, open, or abortion.
DOI: 10.17632/z6w2ynstgg
title: Data for: A comprehensive study on spectral analysis and anomaly detection of river water quality dynamics with high time resolution measurement
DOI: 10.17632/9ppfg6vxj8
title: Measurements of rail surface defects by using eddy current sensor

description: This material is part of the study of the rail fault detection system through sensing using an eddy current probe. In it, the sensor is installed directly on rail vehicles. In it, the wavelet transform technique is used to classify the signals obtained from defects. This work is limited to detecting defects for preventive maintenance.
DOI: 10.17632/jvcnmn2784
title: Data on the effect of co-fermentation of maize and leguminous crops on biogas production, methane production and methane content in biogas

description: Data on the effect of co-fermentation of maize and leguminous crops on biogas production, methane production and methane content in biogas.
DOI: 10.17632/wd52cwgw73
title: Tariff-Based Product-Level Trade Elasticities

description: This repository contains all the SAS and STATA codes needed to replicate results in the manuscript "Tariff-Based Product-Level Trade Elasticities" by L. Fontagné, H. Guimbard and G. Orefice

Abstract. 
Trade elasticity which varies widely across products is a crucial parameter in evaluating the welfare impacts of changes in trade frictions. We estimate trade elasticities at the product level by exploiting the variation in bilateral tariffs for each product category for the universe of country pairs over the 2001 to 2016 period. The predicted trade flows using the product-specific trade elasticities estimated here match the observed post-EPA import between the US and Chile, confirming the accuracy of our estimates.
DOI: 10.6084/m9.figshare.24957663.v1
title: good_vcf_uganda_emma.vcf

description: This is the genotypic data used for the traits association analysis.
DOI: 10.6084/m9.figshare.12029526.v1
title: PheroMod

description: There are 5 datasets in total:<br><br><b>Dataset: Learning, Memory</b>It contains data used for Figures 1 - 3 - S1 - S3 <br><br><b>Dataset: Calcium Imaging</b>It contains data used for Figures 2<br><b>Dataset: Memory recall single exposure</b><br>It contains data used for Figures S2<br><br><b>Dataset: Memory recall double exposure</b><br>It contains data used for Figures S5<br><br><b>Dataset: Pharmacology</b>It contains data used for Figures 4 - S4<br>
DOI: 10.6084/m9.figshare.17024591.v1
title: BraVL

description: This is the official datasets for the paper "BraVL: Multimodal Zero-Shot Neural Decoding by Joint Learning Brain-Visual-Linguistic Representations" submitted to CVPR 2022.
DOI: 10.17632/3jrgnkjssz
title: Evaluating Cancer Risk in a Large Cohort of 25,008 Vitiligo Patients: Insights from a Comprehensive Cohort Population-Based Study

description: Supplementary Tables
DOI: 10.17632/8j3wnn5dcc
title: Experimental datasets of the three-tier fog computing based gateway node for smart home automation applications

description: Smart home automation application demands efficient energy management to limit the unnecessary power consumption of home appliances while maintaining maximum occupant comfort. Three-tier fog computing-based gateway node at the network edge can provide wireless solutions on real-time remote supervision, aggregated data management with cloud platforms, and autonomous home apparatus controlling to limit unnecessary energy consumption at reduced network traffic and low latency. Historical data need to gather through a series of experimental analyses to investigate the performance of such gateway nodes in various aspects. Such as investigating platform load profiles like current and power consumption measurements, platform resource utilization as CPU and network bandwidth usage, and the response time requirement analysis. Measurements were carried out by deploying the gateway in Intel NUC, and RPi 3B+ platform under three test case scenarios. The corresponding raw data measurement has been recorded and reported in this dataset.

@ Dataset Summery:
1. RF Network Performance: Raw data of the received data packet, and RSSI in dBm of the Gateway Node. 
2. Current Consumption: Current consumption measurements in ampere (A) of the RPi deployed Gateway Node. 
3. Power Consumption: Power Consumption measurements in watts (W) of the RPi and NUC deployed Gateway Node.
4. Historic CPU Temperature: Raw data of the Historical CPU Temperature measurements in Celsius (°C) of the RPi deployed Gateway Node.  
5. Historic Network Utilization: Historical Network Bandwidth Utilization measurements in megabyte per seconds (MB/s) of the RPi and NUC Gateway Node. 
6. CPU Consumption: Percentage of platform CPU Consumption measurements of the RPi and NUC deployed Gateway Node. 
7. Response Time Analysis: ThingSpeak and ThingsSentral cloud Response Time measurements of the RPi and NUC deployed Gateway web requests.
DOI: 10.17632/jstxk9gpp3
title: Supplementary Material. Outcomes of Down-Titration in Patients with Severe Scalp Alopecia Areata Initially Treated with Baricitinib 4-mg: Week 152 data from BRAVE-AA2

description: eTable 1. Percentage of patients with a SALT score ≤20 at each post Week 52 visit
eTable 2. Percentage of patients with loss of treatment benefit through Week 152.
eTable 3. Baseline demographics and disease measures for patients down-titrated at Week 52 and experienced a loss of treatment benefit vs those who did not experience a loss of treatment benefit.
eTable 4. Summary of safety outcomes
eFigure 1. A) Sustained response (SALT score ≤20 from Weeks 36 to 52) and B) higher depth of response (SALT score ≤5 at randomized down-titration) were associated with a lower incidence of loss of treatment benefit.
eFigure 2. Proportion of patients with a response in A) eyebrow or B) eyelash regrowth from Weeks 52 to 152 for patients down-titrated at Week 52 versus those who remained on their original treatment dose.
DOI: 10.17632/yrh5fs68r2
title: A behavioral tagging account of kinase contribution to memory formation after spaced aversive training

description: Long-term memory (LTM) can be induced by repeated spaced training trials. Using the weak inhibitory avoidance (wIA) task, we showed that one wIA session does not lead to a 24-h LTM, whereas two identical wIA sessions spaced by 15 min to 6 h induce a 24-h LTM. This LTM promotion depends both on hippocampal protein synthesis and the activity of several kinases. In agreement with the behavioral tagging (BT) hypothesis, our results suggest that the two training sessions induce transient learning tags and lead, via a cooperative effect, to the synthesis of plasticity-related proteins (PRPs) that become available and captured by the tag from the second session. Although ERKs1/2 are needed for PRPs synthesis and CaMKs are required for tag setting, PKA participates in both processes. We conclude that the BT mechanism accounts for the molecular constraints underlying the classic effect of spaced learning on LTM formation.
DOI: 10.17632/229bnpp8rb
title: A Bayesian traction force microscopy method with automated denoising in a user-friendly software package

description: Adherent biological cells generate traction forces on a substrate that play a central role for migration, mechanosensing, differentiation, and collective behavior. The established method for quantifying this cell–substrate interaction is traction force microscopy (TFM). In spite of recent advancements, inference of the traction forces from measurements remains very sensitive to noise. However, suppression of the noise reduces the measurement accuracy and the spatial resolution, which makes it crucial to select an optimal level of noise reduction. Here, we present a fully automated method for noise reduction and robust, standardized traction-force reconstruction. The method, termed Bayesian Fourier transform traction cytometry, combines the robustness of Bayesian L2 regularization with the computation speed of Fourier transform traction cytometry. We validate the performance of the method with synthetic and real data. The method is made freely available as a software package with a graphical user-interface for intuitive usage.
DOI: 10.17632/bgmftbm8zt
title: Tree leaf Classification Dataset

description: This dataset contains high-quality images of tree leaves from three species: Neem, Jujube, and Bougainvillea. Designed for machine learning and deep learning applications. The dataset is ideal for research in plant species identification.
DOI: 10.17632/gdxnvcxhw3
title: Restaurant-Cafe Surabaya

description: This data is related to the spatial distribution study of restaurants and cafes in Surabaya City. There are two operational data: 1) spatial data in *shp, shx, prj, cpg, qpj, dbf format, which can be opened using GIS software; and 2) statistical data in *omv format, opened using Jamovi software.
DOI: 10.17632/kjpj9n66jg
title: Developmental trajectories of thalamic nuclei revealed by single-cell transcriptome profiling and Shh perturbation

description: The thalamus is the principal information hub of the vertebrate brain, with essential roles in sensory and motor information processing, attention, and memory. The complex array of thalamic nuclei develops from a restricted pool of neural progenitors. We apply longitudinal single-cell RNA-sequencing and regional abrogation of Sonic hedgehog (Shh) to map the developmental trajectories of thalamic progenitors, intermediate progenitors, and post-mitotic neurons as they coalesce into distinct thalamic nuclei. These data reveal that the complex architecture of the thalamus is established early during embryonic brain development through the coordinated action of four cell differentiation lineages derived from Shh-dependent and independent progenitors. We systematically characterize the gene expression programs that define these thalamic lineages across time and demonstrate how their disruption upon Shh depletion causes pronounced locomotor impairment resembling infantile Parkinson’s disease. These results reveal key principles of thalamic development and provide mechanistic insights into neurodevelopmental disorders resulting from thalamic dysfunction.
DOI: 10.17632/5n3fjgvfyz
title: InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images

description: This article has been accepted for publication in the International Journal of Remote Sensing, published by Taylor & Francis.

InsPLAD is a Power Line Asset Inspection Dataset and Benchmark containing 10,607 high-resolution Unmanned Aerial Vehicles color images. The dataset contains seventeen unique power line assets captured in the real world and annotated for object detection. In addition, five assets presented six types of defects, annotated into normal and defective samples on an image level. We thoroughly evaluate state-of-the-art and popular methods for three computer vision tasks covered by InsPLAD: object detection, image classification, and anomaly detection. The first aims to detect power line assets in UAV images, and the other two to classify defects in cropped power line asset images. InsPLAD offers a wide range of vision-related challenges, such as multi-scale objects, multi-size class instances, multiple objects per image, intra-class variation, cluttered background, uncontrolled environment, distinct point-of-views, perspective distortion, occlusion, and varied lighting conditions. Our benchmark indicates considerable room for improvement in the state-of-the-art methods. InsPLAD is the first large real-world dataset for power line asset inspection with multiple components and defects.
DOI: 10.17632/dsm64r7jvv
title: Endolysin CHAP domain-carbosilane metallodendrimer complexes with triple action on Gram-negative bacteria: Membrane destabilization, reactive oxygen species production and peptidoglycan degradation

description: Bacterial resistance to antibiotics is a significant challenge that is associated with increased morbidity and mortality. Gram-negative bacteria are particularly problematic due to an outer membrane (OM). Current alternatives to antibiotics include antimicrobial peptides or proteins and multifunctional systems such as dendrimers. Antimicrobial proteins such as lysins can degrade the bacterial cell wall, whereas dendrimers can permeabilize the OM, enhancing the activity of endolysins against gram-negative bacteria. In this study, we present a three-stage action of endolysin combined with two different carbosilane (CBS) silver metallodendrimers, in which the periphery is modified with N-heterocyclic carbene (NHC) ligands coordinating a silver atom. The different NHC ligands contained hydrophobic methyl or N-donor pyridyl moieties. The effects of these endolysin/dendrimer combinations are based on OM permeabilization, peptidoglycan degradation, and reactive oxygen species production. The results showed that CBS possess a permeabilization effect (first action), significantly reduced bacterial growth at higher concentrations alone and in the presence of endolysin, increased ROS production (second action), and led to bacterial cell damage (third action). The complex formed between the CHAP domain of endolysin and a CBS silver metallodendrimer, with a triple mechanism of action, may represent an excellent alternative to other antimicrobials with only one resistance mechanism.
DOI: 10.6084/m9.figshare.22127015.v1
title: HBV probe sequences

description: The sequence of HBV capture probes designed to enrich for HBV fragments after library preperation and before HBV sequencing. We also have attached the sequence of all the whole genomes that we used to design these probes.
DOI: 10.17632/7d59mk8xp5
title: Dataset of Uzbek language NER (3000+)

description: As part of the study, an annotated corpus of the Uzbek language was created for training and evaluating named entity recognition models. The corpus includes 3,053 sentences (34911 words) collected from various sources:
• Legislative acts and legal documents: The bulk of the data was extracted from the publicly available lex.uz database, which contains official texts that are highly literate and have a formal language structure.
• News sites: Articles and materials from Uzbek news portals (kun.uz, gazeta.uz) were used, which made it possible to include modern language structures and relevant vocabulary.
• Manually created sentences: To increase the number of named entities in sentences and ensure diversity, author's sentences were developed containing several entities of different types. This enriched the corpus with complex structures and increased the efficiency of model training.
Data annotation was carried out manually using the BIOES scheme, which provides detailed marking of boundaries and types of named entities. All abstracts were reviewed by Uzbek language experts to ensure accuracy and consistency of data.
DOI: 10.17632/h48gz4hcd8
title: DATA - Association Between Oral Microbiota Dysbiosis and the Risk of Dementia: A Systematic Review

description: A systematic review and meta-analysis was conducted following the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to ensure transparency and comprehensiveness. The study protocol was registered in the PROSPERO platform, ensuring standardization and replicability of the employed methodology. Observational studies (case-control, prospective and retrospective cohort studies, cross-sectional studies) investigating the association between the oral microbiota and the risk of dementia in older adults were included.
DOI: 10.6084/m9.figshare.13060193.v1
title: R6.7z

description: Smart meter data for the residence in SEIL-R dataset.
DOI: 10.6084/m9.figshare.21300513.v1
title: Genome Data of Catharanthus roseus cv “Pacifica XP Burgundy”

description: <em><strong>Catharanthus roseus </strong></em><strong>genome provides insights into complex complementary contributions to ‘</strong><em><strong>Candidatus</strong></em><strong> Liberibacter asiaticus’ infection and the regulatory network governing biosynthesis of the anticancer drug vinblastine</strong>
DOI: 10.17632/styystf2nj
title: Antibiotic Prescription Patterns in Patients with Suspected Urinary Tract Infection in Ecuador

description: The data source for the variables included in this study was the Electronic Health Records (EHR) of patients from 14 outpatient centers (8 urban and 6 rural) of the first level of healthcare, and from one second-level hospital of the Ministry of Public Health (MOPH) in Ibarra, Ecuador during 2019. These centers have been using EHR since 2010. The information was manually extracted from the EHR between March 27, 2021 and June 27, 2021. The selection of acute UTI cases was based on the International Classification of Diseases Tenth Revision (ICD-10). Two peer reviewers autonomously extracted data, adhering to the specified inclusion criteria: UTI cases identified by ICD-10 codes N10: Acute pyelonephritis, N300: Acute cystitis, and N390: Urinary tract infection, site not specified; individuals aged 18 and above who had been diagnosed with acute UTI and received treatment within the MOPH system, whether as outpatients or inpatients; and patients under the care of family, emergency, and internal medicine physicians. Exclusions comprised pregnant patients, those managed by other healthcare subsystems, and chronic UTI diagnoses including N30.1: Interstitial cystitis (chronic), N30.2: Other chronic cystitis, N11.0: Nonobstructive reflux-associated chronic pyelonephritis, and N11.1: Chronic obstructive pyelonephritis. Upon completion of individual data extraction, a thorough comparison was conducted, leading to consensus decisions regarding the inclusion or exclusion of each patient. Page 1: All dataset Page 2: Variables and Definitions
DOI: 10.17632/bx4y56dk8y
title: LINF_180010900

description: RNA binding protein | RBP12; Leishmania infantum (strain JPCM5)
DOI: 10.17632/r49d6t2yvf
title: Replication package for "Reshoring, Automation, and Labor Markets under Trade Uncertainty"

description: Replication package for "Reshoring, Automation, and Labor Markets under Trade Uncertainty" by Hamid Firooz, Sylvain Leduc, and Zheng Liu for publication in the Journal of International Economics. The "README" file describes the replication process.
DOI: 10.17632/wnmn2pkg2s
title: Thin cuvette speckle sample movies

description: Sample movies in RAW6 format of the dynamic speckle patterns from spherical nanoparticles suspensions in a thin (0.11 mm) cuvette. The complete set (as of Nov 2, 2020) consists of 639 files, which gives ~ 320000 scattering images. The images were used to train, validate and test neural networks (classifiers) in order to automatically recognise suspensions. The movies are hardly recognisable to the human experimenter, while the convolution network performed very well. Observation at 26.9 deg (from the forward). Illumination with polarised 532 nm light, 1.7 mm collimated beam. Camera Pike F-032C, AVT. In order to make use of the 14-bit raw images, a dedicated codec is required. Filters converting RAW6 to 24-bit RGB are provided by the camera manufacturer. Experimental details in the paper to be published. The files are labelled with substance name, nanoparticles size and suspension dilution. Every movie is ~500 frames long and was recorded at 80 fps. Since scattered light intensity differed by several orders of magnitude between the samples, the exposition (and if necessary – the camera gain) had to be adjusted. Only several discrete values of these were used. In case of doubt, whether the dynamic range was fully utilised, the measurement was repeated for a neighbouring exposition/gain value. Changing the camera parameters between the experimental runs – in particular, the exposition (image integration time) and gain (also amplifying the electronic noise) – may introduce non-meritorical information into the pictures and mislead/hinder the learning. Some difference of brightness between movies (series of images) seems unavoidable and was coped with at the data preparation stage. _v... indicates the number of the location in the cuvette
DOI: 10.17632/wx4tv3h2fx
title: Smallholder Farmers' behaviour towards Safe use of Pesticides along the White Volta Basin in the Upper East Region of Ghana

description: The study examine the intention and behaviour of smallholder farmers towards safe pesticides use along the banks of the White Volta Basin in the Upper East region of Ghana using the Theory of Planned Behaviour by Ajzen (1991). Descriptive cross-sectional survey was used to sample 300 farmers from a population 1400 farmers from 12 communities in three districts (Bawku Municipal, Bawku West District and Binduri District) in the Upper  East region. A questionnaire was developed with the TPB constructs as key variables as well as questions on the main sources of pesticides information used by the farmers, pesticides disposal methods adopted and the use PPE.  
Data was analyzed IBM SPSS and SmartPLS to compute the results of the study. The results show that farmers' intention and behaviour towards safe pesticides use is predicted by the TPB construct with coefficients of 29 and 38% respectively.