cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1473645
title: Simulated Human gut metagenomic samples to benchmark mOTUs v2

description: We simulated ten human gut metagenomic samples to assess the taxonomic quantification accuracy of the mOTUs tool (link). In this directory you can find the metagenomic samples, the gold standard (used to produce them) and the profiles obtained with four metagenomic profiler tools.

Check README.txt for more information.
DOI: 10.15129/f7d88ee2-14a9-42be-b3a8-54e7086f6e5e
title: Piezoelectric microphone via a DLP process

description: In nature sensors possess complex interlocking 3D structures and extremely localized material properties that allow processing of incredibly complex information in a small space. Acoustic sensor design is limited by fabrication processes, often MEMS based, where there is limited scope for fully 3D creations due to planer fabrication methods. Here we investigate the application of 3D printing via digital light processing (DLP) to integrate piezoelectric, conductive and structural polymer layers to create a complete electro-mechanical device. We demonstrate a working piezoelectric acoustic sensor, capable of sending electric signals that can be picked up by pre-amp circuitry fabricated using a commercially available 3D printer. We show that the 3D printing of mechanically sensitive membranes with thicknesses down to 35 $\mu m$ and tunable resonant frequencies is possible and further show it is possible to create a fully working electro-acoustic device by embedding 3D printed piezoelectric and conductive parts.  Realizing this design opens up the possibility of generating truly 3D structured functional prints that may be used in bio-inspired design.
DOI: 10.5281/zenodo.2540772
title: Yam genomics supports West Africa as a major cradle of crop domestication

description: 167 yam samples were fully resequenced (WGS, Illumina HiSeq) and mapped (BWA) to the Dioscorea rotundata genome (BDMI01000001.1 to BDMI01000021.1). Calling_ALL_Rotundata_Allc05.vcf.gz  is the result of the SNP calling (GATK). See associated publication for details;
DOI: 10.5281/zenodo.2540773
title: Yam genomics supports West Africa as a major cradle of crop domestication

description: 167 yam samples were fully resequenced (WGS, Illumina HiSeq) and mapped (BWA) to the Dioscorea rotundata genome (BDMI01000001.1 to BDMI01000021.1). Calling_ALL_Rotundata_Allc05.vcf.gz  is the result of the SNP calling (GATK). See associated publication for details;
DOI: 10.26300/ab5m-3388
title: Writing policies and procedures
DOI: 10.5281/zenodo.2224247
title: Replication Kit: "Skill Models for Programming Language Concepts"

description: <strong>Structure</strong> <strong>data</strong>: contains the data we used for our case study <strong>skillmodels</strong>: data sets generated from the raw data in the database <strong>raw</strong>: raw data collected in SmartAPE [1] containing the source code of the students as well as the assessment results of the system <strong>results</strong>: contains the complete results of our case study Results of AUC and RMSE for each meta-parametrization and each skill model in .csv and .Rda format boxplots of our AUC and RMSE distributions for each skill model and each meta-parameter in .pdf format calculation scripts: <strong>sm_trainer.R</strong>: script to fit different models for different meta-parametrizations and test them using different performance metrics. Uses <em>data/skillmodels </em>as input <strong>comparison.R</strong>: script that performs statistical tests to compare meta-parameters. Uses <em>results//results_pfa.Rda, results//results_afm.Rda, and results/results_prop.Rda</em> as input <strong>References</strong> [1] Albrecht, Ella et al. “Experiences in Introducing Blended Learning in an Introductory Programming Course.” <em>ECSEE</em> (2018).
DOI: 10.5281/zenodo.2224248
title: Replication Kit: "Skill Models for Programming Language Concepts"

description: <strong>Structure</strong>


	<strong>data</strong>: contains the data we used for our case study

	
		<strong>pfa</strong>: data sets generated from the raw data in the database
		<strong>raw</strong>: raw data collected in SmartAPE [1] containing the source code of the students as well as the assessment results of the system
		<strong>similarity</strong>: calculated similarities between solutions for each level and each exercise
	
	
	<strong>results</strong>: contains the complete results of our case study
	
		<strong>krms</strong>: Knowlede Requirements Models for each exercise and each KC level in .graphml format. You can use yEd [2] to visualize them.
		<strong>pfa_metrics</strong>: Results of AUC, Gmean and MCC for each of our PFA model configurations in .csv and .Rda format
		<strong>similarities</strong>: plotly [3] graphics of our similarity results in .html format
		 
	
	
	calculation scripts:
	
		<strong>similarities.R</strong>: script used to generate box plots of similarities. Uses data from <em>data/similarities</em> as input
		<strong>pfa_trainer.R</strong>: script to fit different configurations of PFA models and test them using different performance metrics. Uses <em>data/pfa</em> as input
		<strong>comparison.R</strong>: script that performs statistical tests to compate different PFA configurations. Uses <em>results/pfa_metrics/results.Rda</em> as input
	
	


<strong>References</strong>

[1] Albrecht, Ella et al. “Experiences in Introducing Blended Learning in an Introductory Programming Course.” <em>ECSEE</em> (2018).

[2] yEd - Graph editor. https://www.yworks.com/products/yed

[3] plotly. https://plot.ly
DOI: 10.5281/zenodo.3950369
title: Next-generation sequencing of newborn screening genes: The accuracy of short-read mapping

description: We examine the effect of high homology genomic regions on the mapping of genes related to newborn screening while taking different read lengths and patient's ethnic background into consideration.
description: 70.bam, 100.bam 150.bam and 250.bam are mapped sequences for all individuals at 70, 100, 150 and 250bp read lengths respectively.
DOI: 10.5281/zenodo.3950368
title: Next-generation sequencing of newborn screening genes: The accuracy of short-read mapping

description: We examine the effect of high homology genomic regions on the mapping of genes related to newborn screening while taking different read lengths and patient's ethnic background into consideration.
description: 70.bam, 100.bam 150.bam and 250.bam are mapped sequences for all individuals at 70, 100, 150 and 250bp read lengths respectively.
DOI: 10.5255/ukda-sn-853510
title: De/Centralisation dataset 1790-2010
DOI: 10.21985/n20f4h
title: Source Data for "Multipartite stabilization of the C. beijerincki pfl ZTP aptamer disfavors terminator hairpin folding by gating strand invasion"
DOI: 10.5287/bodleian:xmrqx18qo
title: Strain engineering a multiferroic monodomain in thin-film BiFeO3: Data archive
DOI: 10.5281/zenodo.1565229
title: Code and data for "Current fossil fuel infrastructure does not yet commit us to 1.5°C warming"

description: This package generates all of the model runs and plotting code for "Current infrastructure does not yet commit us to 1.5°C warming".

See enclosed README file for dependencies and how to run.
DOI: 10.5281/zenodo.1565230
title: Code and data for "Current fossil fuel infrastructure does not yet commit us to 1.5°C warming"

description: This package generates all of the model runs and plotting code for "Current infrastructure does not yet commit us to 1.5°C warming".

See enclosed README file for dependencies and how to run.
DOI: 10.17632/vvpsv7d4yt.1
title: Data for: Leveraging Deep Learning Towards Gamification In Human-Centric Cyber-Physical Systems

description: Our experimental environment is comprised of residential housing single room apartments on the Nanyang Technological University campus. We designed a social game such that all single room dorm occupants could freely view their daily room’s resource usage with a convenient interface. In each dorm room we have installed two Internet of Things (IoT) sensors — one close to the desk light and another near the ceiling fan. With the deployment of IoT sensors dorm occupants can monitor in real-time their room’s lighting system (desk and ceiling light usage) and HVAC (ceiling fan and aircon usage) with a refresh interval of up to 1 second. Dorm occupants are rewarded with points based on how energy efficient their daily usage is in comparison to their past usage before the social game was deployed. The past usage data that serves as our baseline is gathered by monitoring occupant energy usage for approximately one month before the introduction of the game for each semester. Using this prior data, we have calculated a weekday and weekend baseline for each of an occupant’s resources. We bucket data in weekdays and weekends so as to maintain fairness for occupants who have alternative schedules of occupancy (e.g. those who tend to stay at their dorm room over the weekends versus weekdays). We employ a lottery mechanism consisting of several gift cards awarded on a bi-weekly basis to incentivize occupants; occupants with more points are more likely to win the lottery.
DOI: 10.17632/2kzf6grgvb.1
title: Evolution of the physical and mechanical properties of NPAG waste rock cores with respect to freeze-thaw and wet-dry cycles

description: To assess the durability of the NPAG waste rock unit with respect to freeze-thaw and wet-dry cycles, four physical and two mechanical properties were followed as rock cores were subjected to successive weathering cycles. The properties include the dry density, water absorption index, apparent porosity, mass loss, unconfined compressive strength (UCS), and Young's modulus. The mass loss was calculated based on a sample's initial oven-dried mass and final oven-dried mass. The physical properties were determined following ISRM suggested test methods (i.e., ISRM 1981).The dry density was determined using the caliper method; the water absorption index, or void index, was determined using the quick absorption technique; and the apparent porosity was determined using the saturation and caliper method. UCS tests were performed on dry samples following method C of the ASTM D7012-14e1 and using a Tinius Olson (200 tons capacity) servo-controlled press at a load rate of 1 kN/s. Young’s modulus was calculated based on the average modulus of the linear portion of the axial stress-strain curve obtained during the UCS tests. The high density, low water absorption index, and low apparent porosity of the fresh rock cores suggests an excellent rock durability. This durability is confirmed by the degradation tests, which show acceptable mass losses and negligible evolution of the material’s physical and mechanical properties with freeze-thaw and wet-dry cycles.
DOI: 10.17632/6dzmrjngcg.1
title: AFM images and processing routine

description: The aim of this study was to investigate the correlation between inorganic scale formation and booth surface free energy and surface roughness. This data includes both atomic force microscopy images from stainless steel and carbon-coated stainless steel samples and the ImageJ routine developed to measure the roughness exponent of those images. In this area of research, the surface average roughness is the parameter of choice to describe the surface roughness. However, it is not intrinsic to the surface, as it depends on the measuring method. Therefore, the roughness exponent, a parameter independent of the measuring method and able to describe the roughness across a range of different length scales, is advantageous.
DOI: 10.17632/cgjf78m9hy.1
title: Motion, fixation probability and the choice of an evolutionary process

description: The folders contain all raw data necessary for the reproduction of figures in the research article with the same title.
DOI: 10.17632/d2vwry7j3x.2
title: TRIM2, a novel member of the antiviral family, limits new world arenavirus entry

description: Data from to the manuscript "TRIM2, a novel member of the antiviral family, limits new world arenavirus entry"
DOI: 10.17632/dmx855z5k9.1
title: Pb adsorption on natural and microwave-treated bentonite

description: Pb adsorption on natural and microwave-treated bentonite. batch adsorption, AAS analysis used to find initial and equilibrium concentration.
DOI: 10.17632/jw3zwf8rdp.1
title: Sepehr_RumTel01

description: The expansion of social networks has accelerated the transmission of information and news at every communities. Over the past few years, the number of users, audiences and social networking publishers, are increased dramatically too. Among the massive amounts of information and news reported on these networks, we are faced with issues that have not been verified which is called “rumors”. Identifying rumors on social networks is carried out in the form of rumor detection approaches; the massive amount of these news and information force to use the machine learning techniques. The most important problem with auto-detection approaches is the lack of a database of rumors. For that matter, in this article, a collection of rumors published on the social network “telegrams” have been collected. These data are gathered from five Persian-language channels that have specially reviewed this issue. The collected data set contains 3283 messages with 2829 attachments, having a volume of over 1.6 gigabytes. This dataset can also be used for different purposes of natural language processing.
DOI: 10.17632/4x7xkj3d4p.1
title: Accelerator for bibliometric study

description: This accelerator is based on the bibliometric study that is an effective way to analyze how the intellectual production is on one or several themes, its use is a frequent practice in applied social science research to improve the understanding of certain topics, identify trends for future research , associate records, identify authors and relevant publications. The "Web of Science" platform has an extensive multidisciplinary database and allows the export of records in files that can later be used for analysis. As a form of support for this process, a spreadsheet was developed to help researchers from the search for themes in the Web of Science platform to the automatic processing of graphs and reports.
DOI: 10.17632/zkzbnvz2dv.1
title: Time-resolved succession of epigenetic marks shape transcriptional programs during early mammalian embryonic development

description: Supplemental Tables for "Time-resolved succession of epigenetic marks shape transcriptional programs during early mammalian embryonic development"
DOI: 10.17632/5yfsww7td4.1
title: Results of paper_samo

description: Prediction on the static response of structures with large-scale uncertain-but-bounded parameters based on the adjoint sensitivity analysis
DOI: 10.17632/9yrwsdn82x.1
title: The global effect of naturally occurring metabolic cofactor supplementation
DOI: 10.17632/fcj2hmz5kb.2
title: ContextAct @ A4H Dataset

description: ContextAct@A4H is a dataset of Activities of Daily Living. ContextAct@A4H features rich, real-life daily living dataset collected in the Amiqual4Home smart apartment. It contains data from sensors in the apartment, collected while a person was living there during two periods: one in June and one in November (summer and fall respectively). The experiment for collecting ContextAct@A4H was performed in the frame of a collaboration between LIG, Amiqual4Home and Universidad de Los Andes (Colombia). The main contributions of the dataset is the inclusion of context variables (weather, temperature, noise, humidity, presence of visitors, etc) and the high number of properties measured in the apartment. The dataset was presented in the CONTEXT Conference . Its first use is to perform context aware routine learning in the frame of Ambient Assisted Living research. We envision many other uses for this dataset as the following: * To test different sensor configurations and compare which gives best classification results for activity recognition or to test which sensors suit best your application use case, finding a trade-off between cost and accuracy. * To evaluate reliability in sensor networks since some properties have been measured using different sensors. * For energy consumption analysis and prediction using energy related variables. * For evaluating context-aware services. For example, a context-aware music recommendation using music information available in the dataset. * For routine learning and analysis since the dataset is a real-life routine. Please contact Paula Lago for any questions Paula Lago pa.lago52@uniandes.edu.co
DOI: 10.17632/mbch7s7mfk.1
title: Gender , Flood risk perception and Adaptation to flooding in the Kumasi Metropolis

description: Questionnaires were developed to help assess the perceptions about flood risk, identify influences on those perceptions and analyze differences in adaptive measures to flooding that different households adopt and were administered to household heads.
DOI: 10.17632/tybx7gmw5s.1
title: Dataset on Analysis of Users and Non-users in Technology Acceptance

description: This is raw and analysis data for empirical study, entitled entitled “Analysis of Users and Non-users in Technology Acceptance: From the Perspectives of Public Cloud Storage Services in South Korea”. This study amied to identify the differences between users and non-users at the individual level in relation to accepting public cloud storage services (PCSSs) in South Korea. Our focus is individual- level technology acceptance in environments where use of PCSSs is voluntary. A total of 397 samples (users= 210; non-users= 187) were analyzed using the structural equation modeling. Based on extended Unified Theory of Acceptance and Use of Technology (UTAUT2), IBM SPSS AMOS 23 tool was used for data analysis. The findings of our study differed in several ways from other previous studies. These empirical results can provide academic researchers and businesses with insights on individual-level adoption of cloud computing.
DOI: 10.17632/tybx7gmw5s.2
title: Dataset on Analysis of Users and Non-users in Technology Acceptance

description: This is raw and analysis data for empirical study, entitled entitled “Analysis of Users and Non-users in Technology Acceptance: From the Perspectives of Public Cloud Storage Services in South Korea”. This study amied to identify the differences between users and non-users at the individual level in relation to accepting public cloud storage services (PCSSs) in South Korea. Our focus is individual- level technology acceptance in environments where use of PCSSs is voluntary. A total of 397 samples (users= 210; non-users= 187) were analyzed using the structural equation modeling. Based on extended Unified Theory of Acceptance and Use of Technology (UTAUT2), IBM SPSS AMOS 23 tool was used for data analysis. The findings of our study differed in several ways from other previous studies. These empirical results can provide academic researchers and businesses with insights on individual-level adoption of cloud computing.
DOI: 10.17632/wgszp47nkd.1
title: A Multi-Scenario Parallel Personnel Selection and Risk Assessment Big Data Structured Problem: Input and Output Data

description: This data is part of the input structure of CLUS-MCDA project as well as the outcomes and results of the algorithm. The data article will be updated furthermore along with source files of the code and packages as well as ddeveloped software when the related paper got accepted.
DOI: 10.17632/87r49xbrp3.2
title: Data set from a 3D benchmark simulation of delamination in a layered composite component under fatigue loading

description: This data repository provides the processed data obtained from the benchmark simulation using the method presented in the article entitled "A simulation method for accurate fatigue-driven delamination prediction in 3D analysis of layered structures involving large and arbitrarily shaped fracture process zones" by the same authors. The method is based on a cohesive zone model approach and a Paris' law-based expression describing the crack growth rate. The capabilities of the method are evaluated by comparison of the results obtained from a benchmark test on a partially reinforced double cantilever beam (DCB) specimen with varying crack growth rate and front shape. The experimental work is presented in the article entitled "A simulation method for accurate fatigue-driven delamination prediction in 3D analysis of layered structures involving large and arbitrarily shaped fracture process zones". Experimental data is provided in the Mendeley data set entitled "Experimental data set from a benchmark test of delamination growth with varying crack growth rate and crack front shape under quasi-static and fatigue loading". This data set only contains the simulation results. The test configuration, the methodology and the data processing are addressed in the related articles.
DOI: 10.17632/mm29rt9kf6.1
title: Mitigative effects of Alpha-lipoic acid for the toxicity of Dimethoate in male rats

description: Mitigative effects of Alpha-lipoic acid for the toxicity of Dimethoate in male rats
DOI: 10.17632/n9g5x3h2cx.1
title: Cell Metabolism-D-18-00502R-Unprocessed raw immunoblots
DOI: 10.17632/n9g5x3h2cx.2
title: Cell Metabolism-D-18-00502R-Unprocessed raw immunoblots

description: This data include the unprocessed raw immunoblots for Cell Metabolism-D-18-00502R titled as "Transmembrane 4 L six family member 5 senses arginine for mTORC1 signaling".
DOI: 10.17632/nrzksn8jzc.1
title: Empowering conventional Rock-Eval pyrolysis for organic matter characterization of the siderite-rich sediments of Lake Towuti (Indonesia) using End-Member Analysis.

description: This folder includes Rock-Eval raw thermograms at the pyrolysis and oxidation stage for all the samples used in this study. This folder contains as well the results of End-Member Analysis of Rock-Eval thermograms processed with Analysize, a Matlab algorithm. This includes End member densities at each temperature transition and End member abundances for each sample. Additionally, Rock-Eval classic output and new Rock-Eval parameters are presented in excel files, as well as the I-R indexes.
DOI: 10.17632/wj5vb6h9jy.2
title: ICMLA 2014/2015/2016/2017 Accepted Papers Data Set

description: This data set compromises the metadata for the 2014, 2015, 2016 and 2017 ICMLA conference's accepted papers, including: paper ID, titles, keywords, abstracts, sessions and year in which they were exposed. Data Set Information: CSV format where each row is a paper and each column an attribute. It is a multivariate dataset, with 448 instances and 6 attributes. Attribute Information: Paper_Id: Number; identifier of the paper Title: Free text; title of the paper Keywords: Free text; author-generated keywords Abstract: Free text; paper abstracts Session: Categorical; conference organizer's-selected, conference session in which the paper was presented Year: Number; year of the conference