cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2022.128
title: Knowledge integration by probabilistic argumentation

description: Argumentation is a form of reasoning more general than some other symbolic forms developed in AI such as non-monotonic and defeasible reasoning. The recent integration of the Abstract Argumentation (AA) framework with probability theory results in different Probabilistic Argumentation (PA) frameworks notably PABA which uses assumption-based argumentation to structure arguments. Indeed, PABA subsumes many other reasoning formalisms especially probabilistic or argument-based ones and this provides a basic for this dissertation. In particular, we are interested in combining multiple knowledge sources currently represented different formalisms but their informational contents somehow overlap, for example one source may be a rule base while another source may be a Bayesian network but both concerns diagnosis of liver disorders and biliary tracts. Our first approach is to use PABA as a common language for knowledge representation. That is, we translate each given knowledge source from its original representation to PABA, and then combine the resulted PABA frameworks to arrive a single PABA framework. As the performance of the first approach, we demonstrate the strengths and weakness of the approach and compare it with existing approaches which base on some formalism different from PA. Our second approach is to combine a convolutional neural network model and case-based reasoning model through a structured argumentation framework called ABA for performing sentiment analysis. As the performance of the second approach, we evaluate and compare the results of our approach with other traditional machine learning techniques in term of accuracy.
DOI: 10.14457/tu.the.2022.131
title: The influence of 7P’s of marketing on consumer purchase decisions on online food delivery service: an empirical study in Bangkok its Metropolitan Areas

description: This research aimed to study the influence of 7P's marketing factor on consumer purchase decisions in Bangkok and its metropolitan areas. Samples were 572 people who live in Bangkok and its metropolitan areas. The instrument used to collect data was a questionnaire. Data were analyzed by using the Multiple regression model.This research found that among 7Ps, Promotion and Physical Evidence are two significant factors affecting a decision toward ordering OFD. The promotion has a positive coefficient, while Physical Evidence has a negative coefficient. Other significant factors are related to behavioral and demographic attributes, and the first significant factor is related to the frequencies of ordering OFD; all variable of frequency has negative coefficients with the reference group (Order daily). The second ordinal factor is time, which shows that time after 9 p.m. has a positive coefficient, and the reference group is between 12:01 – 3:00 p.m. Next is the purpose for ordering, and the result is that the purpose for ordering for friends has a negative coefficient that can explain different results as reference (Purpose – Order for yourself). The result of education shows that the group of people with a Master's degree or above has a positive coefficient if compared with the reference group (Bachelor’s degree). Occupation was the last factor affecting the decision to order food through OFD services. Almost every occupation comes up in a table with a negative coefficient with a reference group (Student).
DOI: 10.14457/tu.the.2022.132
title: Development of filterless, miniaturized fluorescence detection system

description: This work presents the fluorescence detection limits with commercially available detectors and development of miniaturized fluorescence detector. At the first part presents a method to enhance the fluorescence detection through a miniature cylindrical micro lens that is integrated into an engineered PDMS cuvette with high refractive index TiO2 impeded in. LED transmitter and blue laser diode, 450 nm were used as the excitation light sources and fluorescence detection systems were set at 90-degree without any filters. Square shape detected more fluorescence than circular shaped cuvette. Three different fluorophore holders were used in this work to investigate the micro lens focusing efficiency and TiO2 light reflection efficiency. Focusing efficiency of the lens and reflection efficiency of TiO2 were ranged 137-149% and 143-154 % respectively. The results showed that square cuvette resulted in a minimum detection limit of 30 nM, micro lens and micro lens together with TiO2 inclusion to the cuvettes recorded minimum detection limit as 20 nM and 10 nM respectively. Fluorescein was selected as fluorophore as it has higher quantum yield, and the sample volume was kept as 1 µl in all the experiments. Optical spectrometer used as detector in this part. Si PIN photodiode was used to detect the fluorescence in 1 µl volume. The fluorescein signal was amplified by op-amp receiver circuit. Blue laser was used as the light source at 450 nm of wavelength. Two receiver circuits were developed in order to enhance the fluorescence signal. 10 µM and 50 nM were the minimum detection limit of the photodiode with the receiver circuits. For the development of narrowband photodetector for detection of fluorescence, CsPbBr3 selected as perovskite material as it has excellent photophysical properties. However, poor stability of CsPbBr3 limited their applications in research field. The core shell structure has ability to enhance the stability of the CsPbBr3 QDs while reducing the surface defects of QDs. CsPbBr3 QDs were coated by thin layer of TiO2. 450 0C of temperature was selected as calcination temperature as it gave improved XRD spectrum. CsPbBr3 QDs/TiO2 core shell material-based photodetector was fabricated. The material was drop casted on to the Au electrode and measure the current by digital multimeter. The responsivity and stability of the material was good. Several issues in QDs layer-based devices should be addressed to improve the performance of the photodetector.
DOI: 10.5281/zenodo.7611714
title: Distancia a equipamientos para manzanas

description: Conjunto de indicadores en el que se ofrece la <strong>distancia euclidea a los equipamientos</strong> de la ciudad de Zaragoza limitado por manzanas. Se pueden visualizar distancias a servicio culturales como museos, bibliotecas, cines o salas de exposiciones, entre otros; centros relacionados con la salud como hospitales, centros de salud, farmacias; establecimientos y comercios, como por ejemplo supermercados o librerías; instalaciones deportivas y piscinas; servicios relacionados con la seguridad como la policía local o los bomberos; acceso a zonas verdes como parque y jardines; distancia a paradas de transporte público de autobuses, tranvía, taxi y bizi; y servicios básicos como oficinas de correos y centros de formación. La unidad de medida para las distancias son los metros. <strong>Unidad responsable o fuente: </strong>Cátedra de Territorio, Sociedad y Visualización Geográfica del Ayuntamiento de Zaragoza. Esta cátedra tiene como objetivo principal analizar, desde una perspectiva transversal y multidimensional, la información territorial, sociodemográficas y de la ciudad de Zaragoza, su entorno metropolitano y la Comunidad Autónoma.
DOI: 10.5281/zenodo.7611713
title: Distancia a equipamientos para manzanas

description: Conjunto de indicadores en el que se ofrece la <strong>distancia euclidea a los equipamientos</strong> de la ciudad de Zaragoza limitado por manzanas. Se pueden visualizar distancias a servicio culturales como museos, bibliotecas, cines o salas de exposiciones, entre otros; centros relacionados con la salud como hospitales, centros de salud, farmacias; establecimientos y comercios, como por ejemplo supermercados o librerías; instalaciones deportivas y piscinas; servicios relacionados con la seguridad como la policía local o los bomberos; acceso a zonas verdes como parque y jardines; distancia a paradas de transporte público de autobuses, tranvía, taxi y bizi; y servicios básicos como oficinas de correos y centros de formación. La unidad de medida para las distancias son los metros. <strong>Unidad responsable o fuente: </strong>Cátedra de Territorio, Sociedad y Visualización Geográfica del Ayuntamiento de Zaragoza. Esta cátedra tiene como objetivo principal analizar, desde una perspectiva transversal y multidimensional, la información territorial, sociodemográficas y de la ciudad de Zaragoza, su entorno metropolitano y la Comunidad Autónoma.
DOI: 10.3886/e157201
title: Eviction Moratoria & Housing Policy: Federal, State, Commonwealth, and Territory

description: Researchers employed longitudinal policy surveillance to comprehensively describe state responses to the eviction crisis resulting from the emergence of the COVID-19 pandemic and continuing through the end of substantive state intervention. The study relied on an exhaustive collection of all emergency orders and legislation that controlled the eviction process, related to protections under federal moratoria, or provided support to tenants and that were issued by state governors, courts, and legislative bodies between March 13, 2020 and March 1, 2022. Researchers developed a dynamic, novel dataset consisting of over 50 indicators which captured the temporal and substantive features of these moratoria and renter-supportive measures. To confirm that the dataset was complete, researchers provided state governors and court officials with lists of collected orders from their states and incorporated any needed additions. From this validated dataset, researchers created a time series cross-sectional dataset that tracked changes in a state’s overall eviction moratoria and supportive measures over time. For a complete description of the variables tracked, please see the codebooks included with the dataset.<br>
DOI: 10.34740/kaggle/dsv/4954669
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.22015319
title: Datasets of manuscript: Freeze-thaw cycles alter the growth sprouting strategy of wetland plants by promoting denitrification

description: Data supporting the findings of manuscript of <strong>Freeze-thaw cycles alter the growth sprouting strategy of wetland plants by promoting denitrification</strong>
DOI: 10.6084/m9.figshare.22015319.v2
title: Datasets of manuscript: Freeze-thaw cycles alter the growth sprouting strategy of wetland plants by promoting denitrification

description: Data supporting the findings of manuscript of <strong>Freeze-thaw cycles alter the growth sprouting strategy of wetland plants by promoting denitrification</strong>
DOI: 10.6084/m9.figshare.22015319.v1
title: Freeze-thaw cycles alter the growth sprouting strategy of wetland plants by promoting denitrification

description: Data supporting the findings of manuscript of <strong>Freeze-thaw cycles alter the growth sprouting strategy of wetland plants by promoting denitrification</strong>
DOI: 10.5281/zenodo.7603081
title: Gastruloid Example Dataset

description: Data-set containing 3D confocal microscopy data of gastruloids at 120h. A variety of image-stacks showing the nuclear stain (DAPI) of various morphological outcomes are included in the example data-set. Generated according to published protocol (A. Bolondi et al. 2021, DOI: https://doi.org/10.21769/bioprotoc.4042) with a small modification: 400 cells instead of 250 cells were used.
DOI: 10.5281/zenodo.7603080
title: Gastruloid Example Dataset

description: Data-set containing 3D confocal microscopy data of gastruloids at 120h. A variety of image-stacks showing the nuclear stain (DAPI) of various morphological outcomes are included in the example data-set. Generated according to published protocol (A. Bolondi et al. 2021, DOI: https://doi.org/10.21769/bioprotoc.4042) with a small modification: 400 cells instead of 250 cells were used.
DOI: 10.21227/4k7a-tf71
title: SUMO traffic data

description: Traffic traces from SUMO simulator
DOI: 10.5281/zenodo.7552462
title: ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization

description: This *dataset (68440 files of approx. 30GB unzipped) includes all Bluetooth Low Energy (BLE) Received Signal Strength (RSS) samples used for the evaluation of the Anchor-free Ranging-Likelihood-based Cooperative Localization (ARLCL) method. Each DB file corresponds to an evaluated scenario of a unique combination of nodes/samples (i.e. reflecting different swarm deployments and measurement qualities). The maximal setting is 21 Raspberry Pis and 20 RSS measurement samples. Each DB file contains the true positions of the participating nodes, 100 resampling cases, and one exceptional case (#RSS_0#) where all samples have been used (this case has not been considered in the paper).<br> <br> The specific structure of the DB files is required by our open-sourced Cooperative Localization Optimizer (<em><strong>ARLCL-Optimizer</strong></em>), and also the <strong>Mass Spring</strong> and <strong>Maximum Likelihood - Particle Swarm Optimization</strong> implementations that we used in the paper. These are also provided openly in our repo (https://github.com/CDS-Bern/ARLCL-Optimizer).<br> <br> We encourage future cooperative localization solutions to use our provided dataset/software for comparisons or results reproduction. *The files have been compressed using 7-zip.
DOI: 10.5281/zenodo.7552461
title: ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization

description: This *dataset (68440 files of approx. 30GB unzipped) includes all Bluetooth Low Energy (BLE) Received Signal Strength (RSS) samples used for the evaluation of the Anchor-free Ranging-Likelihood-based Cooperative Localization (ARLCL) method. Each DB file corresponds to an evaluated scenario of a unique combination of nodes/samples (i.e. reflecting different swarm deployments and measurement qualities). The maximal setting is 21 Raspberry Pis and 20 RSS measurement samples. Each DB file contains the true positions of the participating nodes, 100 resampling cases, and one exceptional case (#RSS_0#) where all samples have been used (this case has not been considered in the paper).<br> <br> The specific structure of the DB files is required by our open-sourced Cooperative Localization Optimizer (<em><strong>ARLCL-Optimizer</strong></em>), and also the <strong>Mass Spring</strong> and <strong>Maximum Likelihood - Particle Swarm Optimization</strong> implementations that we used in the paper. These are also provided openly in our repo (https://github.com/CDS-Bern/ARLCL-Optimizer).<br> <br> We encourage future cooperative localization solutions to use our provided dataset/software for comparisons or results reproduction. *The files have been compressed using 7-zip.
DOI: 10.5523/bris.tw99zqwuesy329jf0cltyfju9
title: NDE knowledge base

description: Supporting data for Nikita Gandhi PhD thesis
DOI: 10.6084/m9.figshare.21158875
title: Datasets, Alignments, trees, and metadata of orchid root-associated fungi

description: # Appendix S1 Dataset of orchid-associated fungal sequences after filtering.fasta <br> # Appendix S2 Dataset of orchid-associated fungal sequences assigned with order names.fasta <br> # Appendix S3 Dataset of orchid-associated fungal OTUs.fasta <br> # Appendix S4 ## Alignments Sequence alignment and of 28 fungal orders in Phylip format. <br> ## NEXUS_trees Phylogenetic trees of 28 fungal orders in NEXUS format. <br> ##Alignment_screenshot Screenshot of partial alignments. <br> # Appendix S5 Supertree phylogeny of orchid root-associated fungi in Newick format.txt <br> # Supplementary Table S1-S3 ## Table S1 Fungal OTUs, and DOIs (SHs) of the corresponding UNITE species hypothesis.xlsx <br> ## Table S2 Number of sequences, OTUs, divergence time, and outgroups of 28 fungal orders.xlsx <br> ## Table S3 Number of OTUs and ecological lifestyles, and orchid mycorrhizal status of 150 fungal family.xlsx
DOI: 10.6084/m9.figshare.21158875.v1
title: Alignments and trees of orchid root-associated fungi

description: ITS-based alignments and phylogenetic trees of 28 fungal orders that were detected from orchid roots globally.
DOI: 10.6084/m9.figshare.21158875.v2
title: Datasets, Alignments, trees, and metadata of orchid root-associated fungi

description: # Appendix S1 Dataset of orchid-associated fungal sequences after filtering.fasta <br> # Appendix S2 Dataset of orchid-associated fungal sequences assigned with order names.fasta <br> # Appendix S3 Dataset of orchid-associated fungal OTUs.fasta <br> # Appendix S4 ## Alignments Sequence alignment and of 28 fungal orders in Phylip format. <br> ## NEXUS_trees Phylogenetic trees of 28 fungal orders in NEXUS format. <br> ##Alignment_screenshot Screenshot of partial alignments. <br> # Appendix S5 Supertree phylogeny of orchid root-associated fungi in Newick format.txt <br> # Supplementary Table S1-S3 ## Table S1 Fungal OTUs, and DOIs (SHs) of the corresponding UNITE species hypothesis.xlsx <br> ## Table S2 Number of sequences, OTUs, divergence time, and outgroups of 28 fungal orders.xlsx <br> ## Table S3 Number of OTUs and ecological lifestyles, and orchid mycorrhizal status of 150 fungal family.xlsx
DOI: 10.5281/zenodo.7611706
title: Scheib_Stoll_Randerath_Frontiers_Does Aging Amplify the Rule-based Efficiency Effect in Action Selection_Dataset

description: Dataset belongs to publication in Frontiers in Psychology, section Cognition Title: Does Aging Amplify the Rule-based Efficiency Effect in Action Selection?<br> Authors: Jean P. P. Scheib 1; Sarah E. M. Stoll 1,2; Jennifer Randerath 3,2,1 Affiliations:<br> 1: University of Konstanz, Konstanz, Germany, 2: Lurija Institute for Rehabilitation Science and Health Research, Kliniken Schmieder, Allensbach, Germany 3: University of Vienna, Vienna, Austria
DOI: 10.5281/zenodo.7611705
title: Scheib_Stoll_Randerath_Frontiers_Does Aging Amplify the Rule-based Efficiency Effect in Action Selection_Dataset

description: Dataset belongs to publication in Frontiers in Psychology, section Cognition Title: Does Aging Amplify the Rule-based Efficiency Effect in Action Selection?<br> Authors: Jean P. P. Scheib 1; Sarah E. M. Stoll 1,2; Jennifer Randerath 3,2,1 Affiliations:<br> 1: University of Konstanz, Konstanz, Germany, 2: Lurija Institute for Rehabilitation Science and Health Research, Kliniken Schmieder, Allensbach, Germany 3: University of Vienna, Vienna, Austria
DOI: 10.5281/zenodo.7611876
title: Datasets generated by rurAllure project - promotion of rural museums and heritage sites in the vicinity of European pilgrimage routes

description: These datasets have been generated as part of rurAllure project (funded by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no 101004887). Main goal of rurAllure is the promotion of rural museums and heritage sites in the vicinity of European pilgrimage routes: https://rurallure.eu/project/about/
description: Dataset will be updated regularly.
DOI: 10.5281/zenodo.6010471
title: Datasets generated by rurAllure project - promotion of rural museums and heritage sites in the vicinity of European pilgrimage routes

description: These datasets have been generated as part of rurAllure project (funded by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no 101004887). Main goal of rurAllure is the promotion of rural museums and heritage sites in the vicinity of European pilgrimage routes: https://rurallure.eu/project/about/
description: Dataset will be updated regularly.
DOI: 10.34740/kaggle/dsv/4954805
title: 2021 World Population (updated daily)
DOI: 10.57992/nmrxiv.p16
title: Pulegon: Die Polei-Minze im Wandel der Zeiten
DOI: 10.57992/nmrxiv.p16.s83
title: NMR_Pulegone_Bruker-FID
DOI: 10.57992/nmrxiv.p16.s83.d491
title: 5
DOI: 10.57992/nmrxiv.p16.s83.d492
title: 4
DOI: 10.57992/nmrxiv.p16.s83.d493
title: 6
DOI: 10.57992/nmrxiv.p16.s83.d494
title: 3
DOI: 10.57992/nmrxiv.p16.s83.d495
title: 2
DOI: 10.57992/nmrxiv.p16.s83.d496
title: 1
DOI: 10.5281/zenodo.6665306
title: RDA Data Stewardship Organisational Models Survey 2021 Output Dataset

description: Data Stewardship comes in many forms and contexts, with the common goal of supporting data management. Yet that diversity can make it hard for the RDM community to further professionalise our work and services. <br> The RDA Professionalising Data Stewardship Interest Group (PDS-IG) Models Task Group sought input from the research data community to help model different approaches to research data stewardship through an online survey in October to November 2021. An offline copy of the survey is available as a linked resource from this record.<br> <br> This dataset consists of a cleaned, anonymised responses from 136 respondents, though not all questions were answered by all respondents. The output are available in a CSV formatted file containing the full response set along with output from a thematic textual analysis undertaken on responses to a number of open-text questions in the survey.
DOI: 10.5281/zenodo.6665305
title: RDA Data Stewardship Organisational Models Survey 2021 Output Dataset

description: Data Stewardship comes in many forms and contexts, with the common goal of supporting data management. Yet that diversity can make it hard for the RDM community to further professionalise our work and services. <br> The RDA Professionalising Data Stewardship Interest Group (PDS-IG) Models Task Group sought input from the research data community to help model different approaches to research data stewardship through an online survey in October to November 2021. An offline copy of the survey is available as a linked resource from this record.<br> <br> This dataset consists of a cleaned, anonymised responses from 136 respondents, though not all questions were answered by all respondents. The output are available in a CSV formatted file containing the full response set along with output from a thematic textual analysis undertaken on responses to a number of open-text questions in the survey.
DOI: 10.6084/m9.figshare.22015541.v1
title: Incorporating multi-stage diagnosis status to mine associations between genetic risk variants and multi-modality phenotype network in major depressive disorder

description: Depression (major depressive disorder, MDD) is a common and serious medical illness. Globally, it is estimated that 5% of adults suffer from depression. Recently, imaging genetics receives growing attention and becomes a powerful strategy to discovery the associations between genetic variants( e.g. single-nucleotide polymorphisms, SNPs) and multi-modality brain imaging data. However, most of existing MDD imaging genetic researches proposed by clinicians usually utilize simple statistical analysis methods and only consider single modality brain imaging, which are limited in deeper discovery of the mechanistic understanding of MDD. It is therefore imperative to utilize a powerful and efficient technology to fully explore associations between genetic variants and multi-modality brain imaging. In this study, we develop a novel imaging genetic association framework to mine multi-modality phenotype network between genetic risk variants and multi-stage diagnosis status. Specifically, the multi-modality phenotype network consists of voxel node features and connectivity edge features from structural magnetic resonance imaging (sMRI) and resting-state functional magnetic resonance imaging(rs-fMRI). Then, an association model based on multi-task learning strategy is adopted to fully explore the relationship between the MDD risk SNP and the multi-modality phenotype network. The multi-stage diagnosis status is introduced to further mine the relation among multiple modalities of different subjects. A multi-modality brain imaging data and genotype data are collected by us from two hospitals. The experimental results not only demonstrate the effectiveness of our proposed method, but also identify some consistent and stable brain regions of interest(ROIs) biomarkers from node and edge features of multi-modality phenotype network. Moreover, four new and potential risk SNPs associated with MDD are discovered.