cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13205924.v4
title: PIAS: an interactive visualization platform for integrative analysis of multi-source single-cell RNA-seq datasets

description: Download and unzip the RData data and place it under the path www/task/public of PIAS.<br><br>PIAS is a web-based interactive platform for integrative analysis of multi-source single-cell RNA-seq datasets. Different from many other single-cell RNA-seq analysis platforms or pipelines that mainly focus on preprocessing or analysis of one single-cell RNA-seq dataset, PIAS has the unique feature of integrating multi-source datasets and incorporates various metrics for comprehensively evaluating the result of data integration. Moreover, PIAS provides rich functions for data preprocessing, comprehensive analyses and visualization, including gene name transfer, quality control, normalization, highly variable genes identification, batch-effect removal, dimen-sionality reduction, clustering, differentially expressed, cluster annotation, enrichment analysis, and sin-gle-cell trajectories construction. Users can freely choose to perform desired functions, visualize results, and transfer data through interactive operations with PIAS. <br>
DOI: 10.17632/kykwsrxzry
title: MoN supercapacitors

description: the original data of the MoN supercapacitors
DOI: 10.17632/n5v2m4pj4s
title: The Leading Role of Digital Technologies in the Development of the Smart City Concept in Azerbaijan

description: The article describes the application of the Smart City concept and the economic opportunities it creates, infrastructure and services, and opportunities to improve governance. The main features of the Smart City concept, development directions and evolution, standards and solutions, factors and obstacles to its implementation have been analyzed by the author. The experience of different countries in the application of digital technologies is discussed. The article provides the scope and structure of the "smart" market, application stages and scenarios. International experience in this field was widely analyzed and examples were given, comparisons were made and suggestions were made. The article talks about smart cities, the construction of which has already begun in Azerbaijan. The application of the smart city concept in Azerbaijan has been studied. It is stressed that the spread of digital technologies for the construction of a smart city in Azerbaijan is a prerequisite. The Network Readiness Index (NRI) identifies the indicators that are holding back Azerbaijan in the ranking for 2021. In our study, based on the growth dynamics for 2017-2020, the forecast was calculated by analyzing the trend in the ICT development index in Azerbaijan for 2022-2025.
DOI: 10.17632/xygykk7772
title: Data for: Ultra-high strength circular short CFST columns: Axisymmetric analysis, behaviour and design

description: The Python script is given for the simulation of ultra-high strength circular CFST short columns under axial compression. The script can be run by selecting File&lt;
DOI: 10.17632/gjz58ydhv5
title: Data for: Antibacterial anthraquinone dimers from marine derived fungus Aspergillus sp.

description: Antibacterial and Cytotoxic activity of compounds 1-7, and NMR data of compounds 1 and 2 are available as Supporting Information.
DOI: 10.6084/m9.figshare.23684634.v1
title: Loss of TDP-43 accelerates neurotoxicity by suppressing PJA1 gene transcription in the primate brain

description: The RNA sequencing data of the control and experimental groups.
DOI: 10.17632/2bppgd4ymy
title: LINF_230017300

description: Putative S-adenosyl-L-methionine-dependent methyltransferase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/57mwkkycjz
title: Data for: Examining the pluvial to nival river regime spectrum using nonlinear methods: Minimum Delay Embedding Dimension
DOI: 10.17632/fhxt2nzgbf
title: Covid-19_Educational_Impact

description: These data come from an online questionnaire survey of 43 teachers and trainers at the Regional Center for Education and Training in the Laayoune Sakia El Hamra region in southern Morocco. They cover several key dimensions linked to the impact of the transition to distance learning during the COVID-19 pandemic. Three files are linked to the data. Firstly, there is a PDF file that includes the questions from the online questionnaire that was used as a data collection tool, this file is entitled "Online Questionnaire's questions". The original data are included in a .CSV file entitled "Impact_COVID-19_Result_dataset". This includes the demographic variables of the individuals. There is also a PDF file containing the keys and descriptions of the dataset symbols, called "Impact_COVID-19_Dataset_Keys".
DOI: 10.6084/m9.figshare.5947534.v2
title: Nutrient enrichment and variation in community structure on rocky shores: The potential of molluscan assemblages for biomonitoring

description: Consideration of the impacts of pollutants on elements of biodiversity and the development of cost-effective biomonitoring tools to measure those impacts are essential to coastal biodiversity conservation. To examine the effects of nutrient enrichment and to develop biomonitoring tools, a network of 11 rocky intertidal sites differing in nutrient contamination levels was established on the west coast of Ireland. Communities of molluscs on the lower shore were sampled at the sites and a range of physicochemical variables was measured to characterize levels of contamination on the shores. Total abundance and number of taxa of molluscs were reduced in contaminated sites compared to control sites. Multivariate analyses showed that the structure of the molluscan assemblages differed between contaminated and control sites, discriminating between species that were more abundant at contaminated sites and those that were more abundant at control sites. Multivariate multiple regression analysis showed that nitrite, phosphate and ammonia levels in seawater accounted for more than 45% of the variability in the community structure of molluscs. This study suggests that molluscan assemblages could be a cost-effective tool to monitor and detect changes induced by nutrient enrichment in coastal areas.
DOI: 10.17632/nvsmf92s4j
title: GENERAL CONSIDERATIONS FOR DEVELOPING A PSYCHOEDUCATIONAL INTERVENTION (PEI)

description: Intervention in educational contexts is one of the functions carried out by the psychologist. One of the intentions of the Psychology in the Educational Field course is for the student to develop proposals that allow him to intervene in educational spaces.

Psychoeducational intervention involves “entering into a system of individuals in progress and participating cooperatively to help them plan, achieve and/or change their objectives” (De Charms, 1971, Cited by Erusquin et al., 2014). The aim of this guide is for the student to be able to propose an intervention in educational settings.

Objectives
General
To help undergraduate students from the Faculty of Psychology at the Universidad Cooperativa de Colombia, Cali campus, propose an intervention to be developed in the classroom
Specific
- Identify the elements that make up an intervention
- Create a proposal for a psychoeducational intervention
DOI: 10.17632/dr9kxs8yc8
title: Data for: Chemical nature of hydrothermal fluids generated by serpentinization and carbonation of komatiite: Implications for H2-rich hydrothermal system and ocean chemistry in the early Earth

description: Dataset of hydrothermal experiments simulating oceanic hydrothermal systems. 
Table 1: Main composition of run products after experiment (wt.%) in Exp-100 and Exp-300 the synthetic komatiite, mineral/glass phases therein, starting materials.
Table 2: Composition of the sampled fluids in the experiments (mmol/kg).
Table 3:Measured chemical compositions of hydrothermal fluids in natural hydrothermal systems and hot spring.
Table 4: H2 flux estimation in modern and early Earth.
DOI: 10.17632/j5mc8wsnrh
title: Metacognitive Skills among Left-Handed Students in Al-Quds University

description: Metacognition; metacognitive Skills, Left-handed; Al-Quds University, GPA
DOI: 10.17632/s65j4hmb7v
title: The Supplementary material of manuscript " UAV Remote Sensing Technology for Wheat Growth Monitoring in Precision Agriculture: Comparison of Data Quality and Growth Parameter Inversion"

description: The Supplementary material of manuscript " Evaluating the data quality of UAV-based sensors and analyzing the inversion potential of crop growth parameters in precision agriculture applications" . 
The study has not yet been published.
DOI: 10.6084/m9.figshare.8068715.v1
title: Collection of raw data for Rezzoagli et.al. (2019) In vivo microscopy reveals the impact of Pseudomonas aeruginosa social interactions on host colonization

description: This is a collection of the raw data used to generate figures and analysis in the paper: Rezzoagli <i>et. al</i>, 2019. <i>In vivo </i>microscopy reveals the impact of <i>Pseudomonas aeruginosa</i> social interactions on host colonization. Published in The ISME Journal
DOI: 10.6084/m9.figshare.28446566.v1
title: Individual Performance Data - Study to Evaluate the Performance of the UUXE-ToH v4 Questionnaire

description: This data is about the performance of each participant, which includes the start and end times, elapsed evaluation time (in minutes), the number of unique, duplicate, and total issues identified, as well as the respective coverage rate and efficiency index (speed for detection of total issues, STI = TI/Time).
DOI: 10.6084/m9.figshare.28720145.v1
title: Original data of permanent gully morphology parameters in the loess hilly and gully region of China

description: Original data of permanent gully morphology parameters in the loess hilly and gully region of China, including perimeter, area, length, width, volume, length-width ratio, and shape index.
DOI: 10.17632/c8fh8jy78x
title: Using conditional independence tests to elucidate causal links in cell cycle regulation in Escherichia coli. Kar et al.

description: The dataset accompanies the publication "Using conditional independence tests to elucidate causal links in cell cycle regulation in Escherichia coli" by Kar et al. The data originates from measurements reported in [S. Tiruvadi-Kirshnan et al., Cell Reports,2022]. The column names 'Tx' correspond to the timings of different events in the cell cycle. Possible values for x  are 'ri1', 'rt', 'c', 'n', 'd', 'ri2', and 'ri3' - corresponding to the initiation of replication, termination of replication, the onset of constriction based on the phase image, the onset of constriction based on Ypet-FtsN signal, cell division, initiation in one daughter cell, and initiation in the other daughter cell, respectively. The times are in minutes. Time zero corresponds to cell birth. Negative times correspond to events in the previous cell cycle. The column names "Lx" list cell lengths at different cell-cycle events. Additionally, Lb corresponds to cell birth. All lengths are in micrometers. Pos, Channel, Cell identify a particular cell cycle. Birthfr and Divfr denote the frame when a cell is born and when it divides, respectively. Each frame is 4 mins apart and is relative to the start of the experiment. So, a cell with Birfr = 20 is born 80 min after the experiment has started.  Mothcell is the value of the Cell column of the mother cell. The mother cell also must have the same Pos, and Channel as the daughter cell. For thymine mutant, the file is named Figure_6_STK37 as we perform experiments on the STK37 E. coli strain.
DOI: 10.6084/m9.figshare.5907055.v1
title: APPREAL (APProximate REduction of Automata and Languages) tool used to obtain experimental results in TACAS '18 paper: Approximate Reduction of Finite Automata for High-Speed Network Intrusion Detection

description: This is an artifact containing the tool APPREAL (APProximate REduction of Automata and Languages) used to obtain experimental results in the following paper accepted for publication at TACAS'18:<br>M. Ceska, V. Havlena, L. Holik, O. Lengal, and T. Vojnar. <i>Approximate Reduction of Finite Automata for High-Speed Network Intrusion Detection.</i><br>The approach outlines in the related TACAS'18 paper is implemented in a Python prototype in this repository. Other file type include openly accessible C-specific <b>.c</b> and<b> .h </b>formats, .html, Perl (.pcre) and openly-accessible text file formats.<br>The subdirectory <b>.src </b>contains source code relating to the reduction of NFAs (nondeterministic finite automata) obtained from PCREs (Perl compatible regular expressions) that occur in [Snort](https://www.snort.org) rules:<br>* `experiments/` - the setting of our experiments* `netbench/` - the Netbench tool that we use to transform PCREs into NFAs* `preproc/` - a bunch of small programs used for pre-processing network traffic PCAP files* `reduce/` - the tool performing the reduction itself* `regexps/` - regular expressions that we have collected<br>The subdirectory <b>.packages </b>contains required software packages and a shell file with bash script (install.sh) to install these packages,<br><b>Virtual Machine</b><br>The artifact is prepared to run on the TACAS'18 artifact evaluation virtual machine available here: https://doi.org/10.6084/m9.figshare.5896615.v1<br>2048 MiB of memory should be sufficient to reproduce the results from Tables 1a and 1b in the related proceedings paper, for reproducing the experiments from Tables 2 and 3, it is recommended to set the memory to 8192 MiB or more.<br>Detailed instructions on how to reproduce results from the TACAS'18 paper are available in <b>README.txt</b><b><br></b><b>Background</b><b><br></b>The related TACAS'18 paper considers the problem of approximate reduction of non-deterministic automata that appear in hardware-accelerated network intrusion detection systems (NIDSes). We define an error distance of a reduced automaton from the original one as the probability of packets being incorrectly classified by the reduced automaton (wrt the probabilistic distribution of packets in the network traffic). We use this notion to design an approximate reduction procedure that achieves a great size reduction (much beyond the state-of-the-art language preserving techniques) with a controlled and small error. We have implemented our approach and evaluated it on use cases from SNORT, a popular NIDS. Our results provide experimental evidence that the method can be highly efficient in practice, allowing NIDSes to follow the rapid growth in the speed of networks.<br>
DOI: 10.17632/b7v46fnsy5
title: LINF_130022500

description: Leucine-rich repeat domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/ny7wnxz8ry
title: Data for a paper, "Combinatorial responsiveness of single chemosensory neurons to external stimulation of mouse explants revealed by DynamicNeuronTracker"

description: Raw data (in .tif or .csv) for the figures presented in a paper, "Combinatorial responsiveness of single chemosensory neurons to external stimulation of mouse explants revealed by DynamicNeuronTracker".
DOI: 10.17632/88nzycc27y
title: Sports Survey

description: Results of a survey about attitudes towards what activities are sport and to what degree, as well as levels of interest in those activities.
DOI: 10.17632/wg7shyrmps
title: Checklist of West African Elasmobranchs

description: Checklist of West African elasmobranchs, based on Weighmann (2016) global annotated chondrichthyan checklist. Following taxonomically Naylor et al (2012), and considering all reports from documented databases and references, in the ecorregions 79, 80 and 81 of Spalding et al. (2007) system.
DOI: 10.17632/z7r7d2ys7t
title: Allotments cooling FUAs

description: The dataset represents allotments within the boundaries of European Functional Urban Areas (FUAs), along with zones influenced by allotment-generated cooling. It includes variables describing cooling intensity (HCI), maximum cooling distance (HCD), cooling effectiveness defined as the ratio of the cooling zone area to the allotment area (CA_AR), and the number of beneficiaries of the cooling services provided by allotments (POP). It also includes grouping variables: the type of Local Climate Zone (LCZ) cooled by the allotment and the class of proximity to blue-green infrastructure.
DOI: 10.17632/yd7xtd24gg
title: LINF_160017200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/2gtys5fpmk
title: CORPORATE GOVERNANCE ATTRIBUTES AND CAPITAL STRUCTURE DECISIONS OF FIRMS: AN EMPIRICAL STUDY

description: The present study attempts to examine the influence of corporate governance attributes on the capital structure choices of firms in India. The study has been conducted on 113 NSE listed companies over a period of five years from 2014 to 2018 using Panel data estimation techniques in the light of existing theories on corporate governance and Capital Structure. In the study, Leverage has been used as proxy for capital structure. Board size, audit meeting and women directors in BODs have been used as independent variables whereas, Return on Assets (ROA) and Firm Growth were employed as control variables. The result demonstrates that woman directors in the BODs and ROA have statistically significant negative correlation with leverage and other variables were found to be insignificant. The empirical results are in consonance with trade-off theory and Pecking order theory. Further, the study inferred that
enhancement in the quality of corporate governance mechanism reduces the propensity of using external debt in the capital structure of firms.
DOI: 10.17632/y39crdbp44
title: aCLIMAX 4.0.1, The new version of the software for analyzing and interpreting INS spectra

description: Abstract In Inelastic Neutron Scattering Spectroscopy, the neutron scattering intensity is plotted versus neutron energy loss giving a spectrum that looks like an infrared or a Raman spectrum. Unlike IR or Raman, INS does not have selection rules, i.e. all transitions are in principle observable. This particular characteristic makes INS a test bed for Density Functional Theory calculations of vibrational modes. aCLIMAX is the first user friendly program, within the Windows environment, that uses the o... Title of program: aCLIMAX4.0.1 Catalogue Id: ADSW_v1_0 Nature of problem Calculation of the Inelastic Neutron Scattering Spectra from DFT calculations of the vibrational density of states for molecules. Versions of this program held in the CPC repository in Mendeley Data ADSW_v1_0; aCLIMAX4.0.1; 10.1016/S0010-4655(03)00520-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/sbkxmy6475
title: Indonesian Journalism Research in International Database until 2024

description: This data is a collection of research articles on journalism in Indonesia on Scopus and Web of Science, from the beginning until 2024.
DOI: 10.17632/xbmycsdrk9
title: What Drives Teachers to Keep Using AI Tools in Class? Exploring the Role of Psychological Safety and Trust

description: The publicly available dataset for this study.
DOI: 10.6084/m9.figshare.25057889.v1
title: Oil Pool Detection Dataset

description: The Northern Ecuadorian Amazon (NEA) has suffered vast oil pollution in the last decades. Remote sensing is key to discovered contaminated areas and to provide local communities with tools to identify specific environmental and social impacts created by petroleum extraction. The use of remote sensing by local communities and governments to identify oil pollution in the NEA is limited by the intrinsic characteristics of the tropical forest and the lack of reliable and inexpensive data and methods. In this study, we focus on a type of pollution where oil waste is “hidden” in pools that are later covered by dirt and vegetation. We conducted a novel deep learning workflow combining object detection and semantic segmentation architectures based on enhanced topographic visualization images derived from UAV-LiDAR data to find buried oil pools left by petroleum companies during oil extraction in the Ecuadorian Amazon. Results show that the combination of DL architectures with LiDAR data achieved, on average, over 0.83 in precision, recall, F1 score, and Average Precision-AP (commonly used assessment metrics in deep learning). Our study reveals that this approach can accurately detect and delineate abandoned oil pools located under tropical forest, and thus provides an effective tool to monitor this type of oil liabilities, which represent a permanent risk for environmental and human health. The study has shown that deep learning architectures have potential for automatic detection of oil pollution features in terrestrial environments. Also, the use of unmanned aerial vehicle (UAV)-LiDAR systems has proved to be promising, highly-accurate tools for oil pollution discovery. Further research should now focus on the integration of other type of sensors, such as RADAR, with the ability to cover larger extensions of surface and the capacity to penetrate deeper into the forest canopy.
DOI: 10.17632/4sx8dhx9pp
title: Steiner, Hohl et al., 2021 GRL

description: SI.1. Table 1. Presence- absence data matrix of 331 Cambrian Stage 3 Small skeletal Fossil (SSF) taxa based on literature data and own observations (see SI.2) from 35 terrains utilized for hierarchical cluster analysis (Figure 4 main text). SI.2. Data provenance for the presence- absence data matrix of 331 Cambrian Stage 3 Small Skeletal Fossil (SSF) occurrences (see SI.1) SI.3. Supplementary information on C-O isotope analysis in Telmen carbonates and U-Pb LA-ICP-MS dating in detrital zircons from detrital zircons of the Telmen, Tuva and Zhavkhan terrains; including SI.3 Figure 1. Telmen section near Sertent Uul showing sedimentological stratigraphy Figure 2. SEM microphotograph of a handpicked zircon Figure 3. Detrital Zircon U-Pb age KDE Figure 4. Cumulative KDE distribution curves of analyzed detrital zircon U-Pb ages SI.4. Table 2. C-O Isotope compositions in Telmen section carbonates relative to Vienna Pee Dee Belemnite SI.5. Table 3. U-Pb ratios and calculated ages derived from single spot LA-ICP-MS analyses on Telmen, Tuva and Zhavkhan Terrain detrital zircons
DOI: 10.17632/5vmz9x2zmr
title: Data for: Efficient genomic method to predict heterostructure interfaces

description: Ab initio calculations for heterojunctions
DOI: 10.17632/8kjspbs4vg
title: Hepatitis B virus among Chadian students

description: Data obtained from a cross-sectional study among students in N'Djamena, Chad. This study aimed to determine the prevalence of HBV and identify risk factors among students in N'Djamena, Chad.
DOI: 10.17632/bbtby22v97
title: Effects of juvenile hormone in fertility and fertility-signaling in workers of the common wasp Vespula vulgaris

description: Raw data and R scripts
DOI: 10.17632/mgty9xbmb8
title: Evaluation of Library Services and Facilities by the Students of BLDE (DU) during the Pandemic COVID-19: A Study

description: The library plays a significant role in any higher education centre to that provides formation services, resources, and facilities to support its clients for their systematic studies and research activities. This study deals with the awareness and usage of various services and facilities offered by the BLDE (DU) central library during the Pandemic. The research method adopted for this study was a Google Form with a self-designed questionnaire was prepared and circulated randomly among 100 PG students of BLDE-DU, in which 66 were responded. The result revealed that almost all the postgraduate students who responded are aware of the central library's variety of services & facilities. Circulation service is the major service that the PG students utilized following Plagiarism check and Literature search services. The research proposes that user satisfaction assessments be promoted based on the study's results. In addition, library administration should provide training sessions on how to utilise library services effectively on a regular basis. This research adds to the body of knowledge, policy, and practise, especially when it comes to accessing library services and facilities during pandemics like COVID-19.