cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f3722v4pg9.1
title: Does users’ perception matter in continuous intention to use Fintech technology and services in Kenya?

description: Data collection Data was collected in Nairobi county, Kasarani constituency from May 1st, 2019 to 1st June 2019. The main target group in the study were entrepreneurs who owned shops and market stalls. However, clients who were present at the shops or stalls during the interviews, were also given a chance to participate in the study. It is believed that persons with businesses would seize the opportunity to utilise the soft loans offered the various Fintech service providers in Kenya to expand their businesses. Equally, the age participation in the current study was 18 years and over. A total of 351 questionnaires were collected with the help of two research assistants who were standing by to answer any queries from the participants and thus there were no incomplete questionnaires. Nevertheless, 9 questionnaires were excluded from the study because they had unengaged responses. The final usable questionnaires were 342. Methodology The Extended Post-Acceptance model by Lim, Kim, Hur, and Park (2018) was tested using the data. Confirmatory factor analysis was performed using AMOS version 24. A 10,000 replication bootstraps was performed as one way of validating the multivariate model used in the current study. Equally, the bias -corrected confidence intervals was set at 95% confidence level. Results The finding on users’ knowledge of the services has a significant positive effect on perceived security (β =0.808, p &lt;0.001) of short-term credit services offered by Fintech’s in Nairobi, supporting hypothesis H1. Perceived security has a significant and positive effect on confirmation (β =0.734, p &lt;0.001) and perceived usefulness (β =0.852, p &lt;0.001) of short-term credit services offered by Fintech’s thus supporting hypotheses H2a and H2b. Confirmation has no significant effect on perceived usefulness ((β =0.031, p = 0.786) thus rejecting hypothesis H3a. However, confirmation has a significant positive effect on satisfaction (β =0.533, p = 0.001), supporting hypothesis H3b. Perceived usefulness has a significant positive effect on satisfaction (β =0.332, p = 0.004), supporting hypothesis H4a. However, perceived usefulness has no significant effect on continuous intention to use Fintech services (β =0.003, p = 0.991), thus rejecting hypothesis H4b. User’s satisfaction has a positive effect on continuous intention to use Fintech services (β =0.593, p = 0.003). All the confidence levels where at 95%. Conclusion The study revealed that Kenyans will continue to use Fintech technologies and its credit services if they remain useful, secure, satisfactory and offer high expectation upon usage. Reference Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2018). An Empirical Study of the Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services. International Journal of Human–Computer Interaction, 1-13.
DOI: 10.5281/zenodo.3254637
title: Feedback on the draft implementation guidance of Plan S

description: Launched in September 2018, cOAlition S is an initiative of an international consortium of research funders to make full and immediate Open Access to research publications a reality. It is built around Plan S, which consists of one target and 10 principles. In November 2018, cOAlition S released a draft guidance on the implementation of Plan S for public feedback. This process, which lasted from November 2018 to February 2019, collected more than 600 feedback statements from universities, learned societies, publishers, scholarly associations, and individual scholars from more than 40 countries. The documents include all responses and accompanying statements received during the process. Responses have been analysed and an updated guidance on implementation was adopted and published in May 2019. In order to facilitate the download of the full results, a Zip file (002_Plan S_Feedback_all_files) has been added in version 3. Please visit cOAlition S website for more information: https://www.coalition-s.org/
DOI: 10.17632/xr8kpyzzrt.1
title: CFSPCR

description: data.xls is data for this stuty. Stata code in this study is provided upon request.
DOI: 10.3886/e100320v3
title: RAPID: Evaluating Ebola Message Effects over Time: Risk Perceptions, Trust in and Attributions of Responsibility to Institutions, Personal Behavior and Policy Support

description: This research aimed to test whether: (1) different messages about Ebola management, affect, trust, attributions of responsibility, beliefs and attitudes about Ebola and Ebola-related policy influenced risk perceptions and behavioral intentions; (2) such effect vary in response to emerging events withing a longitudinal study, and what factors make people more or less likely to change their views or behavior; (3) baseline trust and its sources affect temporal changes in beliefs, attitudes and behavioral intentions, as well as attributions of responsibility; (4) beliefs about relationships (direct, such as joint action, and indirect, such as shared values) between members of the Ebola management system affect these jpublic reactions, with or without interaction with the messages tested; and (5) message effects, if any decay at differing rates across message type.
description: (3) GFK survey used weight, which are described in their report: DecisionResearch_EbolaStudy2015_FieldReport_InclCodebook.pdf
description: Response Rates: (1) Longitudinal survey: 53.2% in survey 1 to 76.7% in survey 5<br>(2) Amazon mTurk online panel survey: unknown<br>(3) GfK web panel survey: 63.2%
description: web-based survey~~
description: non-institutionalized adults aged 18 and over residing in the United States
description: (1) Convenience sample from Decision Research online panel<br>(2) Convenience sample from Amazon mTurk online panel<br>(3) GfK sampled households from its KnowledgePanel, a probability-based web panel designed to be representative of the United States
DOI: 10.5281/zenodo.3254441
title: Supplementary data to Schmiester et al. *Efficient parameterization of large-scale dynamic models based on relative measurements*

description: This archive contains Supplementary data to the manuscript <em>Efficient parameterization of large-scale dynamic models based on relative measurements</em> by Leonard Schmiester, Yannik Schälte, Fabian Fröhlich, Jan Hasenauer and Daniel Weindl.
DOI: 10.17632/x79j759dkc.2
title: AA and PA peelings and QOL

description: Differences between AA and PA peeling groups in the QOL.
DOI: 10.17632/8tdvrjjdhj.1
title: Data for: IMPACT OF THE VOLUME HEAT SOURCE ON THE RANS-BASED CFD ANALYSIS OF MOLTEN SALT REACTORS
DOI: 10.17632/ckj5p6tjyk.2
title: TIRF Microscopy Image Sequences of Fluorescent IgE-FcεRI inside a FcεRI-Centric Synapse in RBL-2H3 Cells Dataset

description: Total internal reflection fluorescence (TIRF) microscopy was used to image the IgE-FcεRI receptor signaling complex in rat basophilic leukemia (RBL-2H3) cells coming into contact with a supported lipid bilayer, modeling an immunological model synapse. Fluorescent immunoglobulin E (IgE488) concentrations ranged from 10% to 100%, in 10% increments and IgEdark that decreased from 90% to 0% by increments of 10%. To label, the IgE488 and IgEdark were added to the RBL-2H3 cells in suspension the day prior to imaging and allowed to incubate overnight. Immediately before experimental data was taken, cells were removed from the suspension dish and resuspended in Hank’s buffer. Cells of Sample 1 were kept in Hank’s buffer for a few minutes before cells were added to the SLB. Cells from Sample 2 were kept in Hank’s buffer for about half an hour before cells were added to the SLB. Cells from Sample 3 were kept in Hank’s buffer for about one hour before cells were added to the SLB. Multiple image sequenceswere taken for each of these ten conditions with camera exposure of 5 ms per image and pixel size of 107nm. The fluorescent labeling efficiency of IgE488 was 1.02 ± 0.08 mole fluorescent dye per mole protein. The dataset contains corresponding dark images and TIRF illumination profile images. The camera gain g was 0.006 photo electrons/ADU and the readout noise Nread was 0.529 photo electrons. The data are provided as OME-TIFF (.ome.tif), a life sciences file format. Information about the OME-TIFF (.ome.tif) file format information as well as imaging software supporting it can be found here: https://docs.openmicroscopy.org/ome-model/5.6.3/ome-tiff/
DOI: 10.5281/zenodo.3254407
title: Bats actively use leaves as specular reflectors to detect acoustically camouflaged prey

description: Measured target strength from 541 positions for 5 different frequency bands. Bat positions in incidence angles of for 33 flight paths.
DOI: 10.5281/zenodo.3254408
title: Bats actively use leaves as specular reflectors to detect acoustically camouflaged prey

description: Measured target strength from 541 positions for 5 different frequency bands. Bat positions in incidence angles of for 33 flight paths.
DOI: 10.5281/zenodo.2687256
title: Transgenerational plasticity of inducible defenses: combined effects of grand-parental, parental and current environments - PDF, datasets and R script

description: <strong>PDF, dataset and R script for the paper:</strong> Tariel J, Plénet S, & Luquet E. <em>Transgenerational plasticity of inducible defenses: combined effects of grand-parental, parental and current environments</em>. Two data sets are provided: one for the analysis of the behavior (dataBehaviour.csv) and one for the analysis of other variables (weight, shell thickness and morphology; dataMorphology.csv). There are analyzed in the same R script (Script_TARIEL-Juliette.R) <strong>Signification of variables names:</strong> G1: treatment/environment of the grand-parental generation (control C or with predator-cue P)<br> G2: treatment/environment of the parental generation (control C or with predator-cue P)<br> G3: treatment/environment of the offspring generation (control C or with predator-cue P)<br> Family: unique ID for each family<br> Individual: number to identify siblings within a family <br> ID: unique ID for each individual <br> W: snail total weight (g)<br> Th: shell thickness (mm)<br> L: shell length (mm)<br> l: shell width (mm)<br> Lo: aperture length (mm)<br> lo: aperture width (mm)<br> crawlout : position of the snail (0: below the water surface; 1: above/on the water surface)<br> Day : day of measurement (crawling-out behaviour was measured three times through three consecutives days d2, d3 and d4)
DOI: 10.5281/zenodo.2687257
title: Transgenerational plasticity of inducible defenses: combined effects of grand-parental, parental and current environments - Dataset & R script

description: <strong>Dataset and R script for the paper:</strong>

Tariel J, Plénet S, & Luquet E. <em>Transgenerational plasticity of inducible defenses: combined effects of grand-parental, parental and current environments</em>. bioRxiv 589945, ver. 3 peer-reviewed and recommended by PCI Evolutionary Biology (2019). https://doi.org/10.1101/589945

Two data sets are provided: one for the analysis of the behavior (dataBehaviour.csv) and one for the analysis of other variables (weight, shell thickness and morphology; dataMorphology.csv). There are analyzed in the same R script (Script_TARIEL-Juliette.R)

<strong>Signification of variables names:</strong>

G1: treatment/environment of the grand-parental generation (control C or with predator-cue P)<br>
G2: treatment/environment of the parental generation (control C or with predator-cue P)<br>
G3: treatment/environment of the offspring generation (control C or with predator-cue P)<br>
Family: unique ID for each family<br>
Individual: number to identify siblings within a family <br>
ID: unique ID for each individual <br>
W: snail total weight (g)<br>
Th: shell thickness (mm)<br>
L: shell length (mm)<br>
l: shell width (mm)<br>
Lo: aperture length (mm)<br>
lo: aperture width (mm)<br>
crawlout : position of the snail (0:  below the water surface; 1: above/on the water surface)<br>
Day : day of measurement (crawling-out behaviour was measured three times through three consecutives days d2, d3 and d4)
DOI: 10.5281/zenodo.3255144
title: Optimization of Gang-operated On-load Tap Changers in Multi-conductor Radial Networks: Formulation and Convex Relaxation

description: DSS files for case studies in CIGRE conference paper

Only the secondary of the regulator can tap between 0.9 and 1.1, this is not specified in the DSS files themselves
DOI: 10.5281/zenodo.3255145
title: Optimization of Gang-operated On-load Tap Changers in Multi-conductor Radial Networks: Formulation and Convex Relaxation

description: DSS files for case studies in CIGRE conference paper

Only the secondary of the regulator can tap between 0.9 and 1.1, this is not specified in the DSS files themselves
DOI: 10.25345/c5w06v
title: MassIVE MSV000084011 - Combining isotopically non-stationary metabolic flux analysis with proteomics to unravel the regulation of the Calvin-Benson-Bassham cycle in Synechocystis sp. PCC 6803
title: Photosynthetic microorganisms are increasingly being investigated as a sustainable alternative to existing bio-industrial processes, converting CO2 into desirable end products without the use of carbohydrate. The Calvin-Benson-Bassham (CBB) cycle is the main pathway of carbon fixation metabolism in photosynthetic organisms. In this study, we analyzed the metabolic fluxes in two strains of the unicellular cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis) that overexpressed fructose-1,6/sedoheptulose-1,7-bisphosphatase (FBP/SBPase) and transketolase (TK), respectively. These two potential carbon flux control enzymes in the CBB cycle had previously been shown to improve biomass accumulation when overexpressed under air and low light conditions. We measured the growth rates of Synechocystis under atmospheric and high (3% v/v) CO2 conditions. Surprisingly, the cells overexpressing transketolase (tktA) demonstrated no significant increase in growth rates when CO2 was increased, suggesting an altered carbon flux distribution and a potential metabolic bottleneck in carbon fixation. In contrast, the fructose-1,6/sedoheptulose-1,7-bisphosphatase (70 glpX) and wild-type cells demonstrated increases in growth rates as expected.
DOI: 10.5281/zenodo.3255150
title: Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome: Supplemental Data

description: This upload contains the supplemental data to the manuscript titled, "Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome". It contains the transformed data used to train the model (*-grouped-clr.csv), the latent feature space (latent_z.txt), and the differential abundance results (*DA*.csv).
DOI: 10.7910/21538/5lrbot
title: datav1.0.zip

description: Data, Code, Instruments.
DOI: 10.7910/21538/6voc9w
title: datav1.0.zip

description: Data, Code, Instruments.
DOI: 10.7910/21538/nqucyo
title: datav2.0.zip

description: Data, Code, Instruments.
DOI: 10.5281/zenodo.3255151
title: Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome: Supplemental Data

description: This upload contains the supplemental data to the manuscript titled, "Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Predicts Gut Metabolites from Gut Microbiome". It contains the transformed data used to train the model (*-grouped-clr.csv), the latent feature space (latent_z.txt), and the differential abundance results (*DA*.csv).
DOI: 10.7910/21538/ar7iam
title: datav3.0.zip

description: Data, Code, Instruments
DOI: 10.7910/21538/toojeb
title: datav3.0.zip

description: Data, Code, Instruments.
DOI: 10.5281/zenodo.3249380
title: SFB genomes and annotations

description: This dataset contains sequence files for a Metagenome Assembled Genome (MAG) from human metagenomes, as well as 5 SFB reference genomes: GCF_000270205 Candidatus Arthromitus sp. SFB-mouse-Japan GCF_000283555 Candidatus Arthromitus sp. SFB-rat-Yit GCF_000284435 Candidatus Arthromitus sp. SFB-mouse-Yit GCF_000709435 Candidatus Arthromitus sp. SFB-mouse-NL GCF_001655775 Candidatus Arthromitus sp. SFB-turkey isolate UMNCA01 The dataset consists of 8 gzipped tar archives. Here's brief summary of their contents: <strong>sfb_abundance</strong>: Counts of mapped reads and normalized counts for each contig in 825 samples (see <strong>sfb_map</strong>) Files named 'raw_counts' are number of reads assigned to each contig while files named 'tpm' are counts normalized to Transcripts Per Million. The 'percontig' files show numbers per contig while raw_counts.tab and tpm.tab files have counts summed for each genome. <strong>sfb_annotations</strong>: Annotation files, from running the prokka pipeline on the genomes and subsequently eggnog-mapper, pfam_scan and dbCAN. <strong>sfb_checkm</strong>: Results from running 'checkm lineage_wf' on the genomes. <strong>sfb_collated</strong>: Collated counts of annotations in each genome. <strong>sfb_fastani</strong>: Results from running fastANI on the genomes, with subsequent clustering of genomes based on 75% overlap and 95% ANI. <strong>sfb_gtdb</strong>: Results from the 'gtdbtk classify_wf' on the genomes. This shows how the genomes are classified against the Genome Taxonomy Database (release86). <strong>sfb_gtdb_denovo</strong>: Phylogeny as created using the following command on the genomes. <pre><code class="language-bash">gtdbtk de_novo_wf --bac120_ms --outgroup_taxon p__Patescibacteria -x .fna --cpus 20 --rnd_seed 123</code></pre> <strong>sfb_map</strong>: Results from mapping reads from 825 samples to the 6 genomes. Reads were aligned using bowtie2 with '--very-sensitive --no-unal' settings and '--score-min C,0,0' to only report reads aligning without mismatches.Output was sorted by position and duplicates removed using MarkDuplicates of the picard tools suite. The archive contains a single merged bam file ('sfb.bam') where each sample has been assigned a ReadGroup inferred from its file name.
DOI: 10.17632/2rm6tk5yb8.1
title: Data for: SnO2/Mg combination electron selective layer for Si heterojunction solar cells

description: they are the origin J-V curve
DOI: 10.5281/zenodo.2614367
title: Saccadic suppression measured by steady-state visual evoked potentials

description: Dataset related to the following publication:

Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2019). Saccadic suppression measured by steady-state visual evoked potentials. <em>Journal of Neurophysiology, DIO: 10.1152/jn.00712.2018</em>

Please refer to "data description.txt" for details about the data.
DOI: 10.5281/zenodo.2614368
title: Saccadic suppression measured by steady-state visual evoked potentials

description: Dataset related to the following publication:

Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2019). Saccadic suppression measured by steady-state visual evoked potentials. <em>Journal of Neurophysiology, DIO: 10.1152/jn.00712.2018</em>

Please refer to "data description.txt" for details about the data.
DOI: 10.5281/zenodo.3255020
title: Phenolog Identification Datasets and Supplemental Files

description: <strong>Project Description</strong>

Phenologs are defined as similar phenotypes with hypothesized shared genetic basis. Identifying phenotypes mentioned in literature and predicting their similarity to other phenotypes enables candidate gene prediction in order to discover new genotype to phenotype relationships. In order to calculate the similarity between two phenotype descriptions, the descriptions first need to be converted into a computable format. Computable representations of phenotypes include EQ statements comprised of ontology terms, or embeddings into numerical vectors. These datasets correspond to the code available here. The files here comprise the main pipeline for reproducing results discussed in the corresponding paper and files which contain the pre-computed expected output from running this pipeline.

 

<strong>Files</strong>

phenologs_main.zip - Includes data and scripts necessary to reproduce the results discussed in the corresponding paper. See the description in the code repository here for additional details about this pipeline.

annotation_files.zip - Includes files that are output during the semantic annotation step of the pipeline.

annotation_results.zip - Includes files that summarize the performance of each semantic annotation step and aggregate the annotations.

networks.zip - Includes the networks built from the phenotypic description datasets where edges are similarity as assessed by each computational method of representing the descriptions.

network_analysis.zip - Includes files specifying the performance of networks built using each method on tasks such as classifying phenotypes and their corresponding genes into functional categories.

summary_of_functional_category_similarities.xlsx - Tables summarizing performance of each network in recapitulating curated functional categorizations.

 

<strong>Feedback</strong>

Send any feedback, questions, or suggestions to irbraun at iastate dot edu.
DOI: 10.5281/zenodo.3255021
title: Phenolog Identification Datasets and Supplemental Files

description: Datasets generated for testing the utility of using computational techniques to assess phenotype similarity and identify phenologs. Phenologs are defined as similar phenotypes with hypothesized shared genetic basis. Identifying phenotypes mentioned in literature and predicting their similarity to other phenotypes enables candidate gene prediction in order to discover new genotype to phenotype relationships. In order to calculate the similarity between two phenotype descriptions, the descriptions first need to be converted into a computable format. Computable representations of phenotypes include EQ statements comprised of ontology terms, or embeddings into numerical vectors. These datasets correspond to the code available here.

Send any feedback, questions, or suggestions to irbraun at iastate dot edu.

 

Files:

annotations.zip - Includes results of semantic annotation using NOBLE Coder, NCBO Annotator and a Naïve Bayes Classifier to map ontology terms to phenotype descriptions, as well as EQ statements annotations combining multiple ontology terms.

similarity_networks.zip - Network files where edge values are given for the similarity between phenotype as calculated by each method.

learned_thresholds.zip - Average similarity threshold values learned for classifying each Arabidopsis gene into a functional category.

classification_matrices.zip - Matrices specifying the predicted functional category for each Arabidopsis gene.

classification_summaries.xlsx - Spreadsheets summarizing the functional categorization results using each method.
DOI: 10.5281/zenodo.3255038
title: Example StoX projects used in the publication "StoX - an open source software for marine survey analyses"

description: <strong>Datasets for the paper "StoX - an open source software for marine survey analyses"</strong> Two example StoX projects provided as zip files, including input data and all user settings. These data were used to produce Figure 3 of the paper. The R-script used to produce the figure is included in the supporting information S5 of the paper: 1. Example_Barents_Sea_cod_swept_area_survey_1999.zip 2. Example_Nordic_Seas_herring_acoustic-trawl_survey_2016.zip
DOI: 10.5281/zenodo.3255039
title: Example StoX projects used in the publication "StoX - an open source software for marine survey analyses"

description: <strong>Datasets for the paper "StoX - an open source software for marine survey analyses"</strong> Two example StoX projects provided as zip files, including input data and all user settings. These data were used to produce Figure 3 of the paper. The R-script used to produce the figure is included in the supporting information S5 of the paper: 1. Example_Barents_Sea_cod_swept_area_survey_1999.zip 2. Example_Nordic_Seas_herring_acoustic-trawl_survey_2016.zip