cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1193979
title: Physical Model And Dem Analysis Of Pile Groups Under Compressive Loading

description: The datesets are about the physical properties of sand and the micromechanical parameters for the DEM simulation
DOI: 10.5281/zenodo.1193980
title: Physical Model And Dem Analysis Of Pile Groups Under Compressive Loading

description: The datesets are about the physical properties of sand and the micromechanical parameters for the DEM simulation
DOI: 10.15151/esrf-es-90632078
title: Kmapping of Ge microdisks
DOI: 10.5281/zenodo.1170476
title: Drone-Vehicle Routing Problem Instances

description: The following instances are originally presented in the (soon to be published) paper <em>A large Neighborhood Search Heuristic for the Drone-Vehicle Routing Problem</em>, written by David Sacramento Lechado, David Pisinger and Stefan Røpke.

The data correspond to 112 instances corresponding to different scenarios for the Drone-Vehicle Routing Problem. Each instance is named <strong>n.m.t</strong>, where <strong>n</strong> is the number of customers in the scenario, <strong>m</strong> is the dimension of the grid, and <strong>t</strong> is the generic name of the scenario.

The first line of each instance file indicates the number of customers in the specific instance. The second line is the header for the characteristics of each customer, where it is written <em>Coordinate X, Coordinate Y</em> and <em>Demand. </em>The following provides the previous information for each customer in the instance.

Finally, there is an extra file, named <strong>RouteData,</strong> which provides information about the value of the parameters in the main configuration of the problem. These parameters are:


	<strong>TruckSpeed: </strong>Speed in mpm (miles per minute) of the trucks.
	<strong>DroneSpeed: </strong>Speed in mpm of the drones.
	<strong>TruckCapacity: </strong>Maximum capacity of the trucks.
	<strong>DroneCapacity:</strong> Maximum allowed weight a drone can carry.
	<strong>ServiceTimeTruck:</strong> Required service time for a truck to service a customer.
	<strong>ServiceTimeDrone:</strong> Required service time for a drone to service a customer.
	<strong>Endurance: </strong>Maximum flight endurance of the battery of the drone.
	<strong>MaximumDriveTime: </strong>Maximum duration time of the routes.
	<strong>LaunchTime: </strong>Required time for launching a drone.
	<strong>RecoveryTime: </strong>Required time for recovering a drone.
	<strong>CostFactor:</strong> Corresponding parameter for computing the cost for a truck for traversing arc (i,j), given by fuel price (euro/liter), consumption rate (liter/km) and miles converter (km/miles).
	<strong>DroneFactor: </strong>Corresponding parameter for computing the cost for a drone for traversing arc (i,j) with respect to the truck cost.
DOI: 10.5281/zenodo.1193767
title: Models And Car Scores Reported In R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, And Timothy A. Kohler. Exploration And Exploitation In The Macrohistory Of The Prehispanic Pueblo Southwest. Science Advances.

description: These are the models and CAR scores presented in reported in

R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, and Timothy A. Kohler. Exploration and exploitation in the macrohistory of the prehispanic Pueblo Southwest. <em>Science Advances</em>, 2:e1501532.

These files are R data sets. See the <strong>paleocar</strong> package for information on how to extract model uncertainty and other data from these data files.
DOI: 10.5281/zenodo.1193768
title: Models And Car Scores Reported In R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, And Timothy A. Kohler. Exploration And Exploitation In The Macrohistory Of The Prehispanic Pueblo Southwest. Science Advances.

description: These are the models and CAR scores presented in reported in

R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, and Timothy A. Kohler. Exploration and exploitation in the macrohistory of the prehispanic Pueblo Southwest. <em>Science Advances</em>, 2:e1501532.

These files are R data sets. See the <strong>paleocar</strong> package for information on how to extract model uncertainty and other data from these data files.
DOI: 10.5281/zenodo.1193807
title: Models And Car Scores Reported In R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, And Timothy A. Kohler. Exploration And Exploitation In The Macrohistory Of The Prehispanic Pueblo Southwest. Science Advances.

description: These are the models and CAR scores presented in reported in

R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, and Timothy A. Kohler. Exploration and exploitation in the macrohistory of the prehispanic Pueblo Southwest. <em>Science Advances</em>, 2:e1501532.

These files are R data sets. See the <strong>paleocar</strong> package for information on how to extract model uncertainty and other data from these data files.
DOI: 10.15151/esrf-es-90632248
title: Proteins and protein/DNA/RNA complexes involved in biosynthesis, protein folding and
degradation, splicing, cancer, host pathogen interacti
DOI: 10.5281/zenodo.1193809
title: System_1

description: SYSTEM_1
DOI: 10.5281/zenodo.1194011
title: Increasing Efficiency In Parallel Programming Teaching

description: The ability to teach parallel programming principles and techniques is becoming fundamental to prepare a new generation of programmers able to master the pervasive parallelism made available by hardware vendors. Classical parallel programming courses leverage either low level programming frameworks (e.g. those based on Pthreads) of higher level programming frameworks such as OpenMP or MPI. We discuss our teaching experience within the Master in “Computer Science and networking” run by blind review where parallel programming is taught leveraging structured parallel programming principles and frameworks. The paper summarizes the results achieved in eight years of experience and shows how the adoption of a structured parallel programming approach improves the efficiency of the teaching process.
DOI: 10.5281/zenodo.1194012
title: Increasing Efficiency In Parallel Programming Teaching

description: The ability to teach parallel programming principles and techniques is becoming fundamental to prepare a new generation of programmers able to master the pervasive parallelism made available by hardware vendors. Classical parallel programming courses leverage either low level programming frameworks (e.g. those based on Pthreads) of higher level programming frameworks such as OpenMP or MPI. We discuss our teaching experience within the Master in “Computer Science and networking” run by blind review where parallel programming is taught leveraging structured parallel programming principles and frameworks. The paper summarizes the results achieved in eight years of experience and shows how the adoption of a structured parallel programming approach improves the efficiency of the teaching process.
DOI: 10.5281/zenodo.1193507
title: Raw

description: This is the system which uses raw speech .
DOI: 10.15151/esrf-es-90632739
title: 2D distribution of zinc in cortical neurons
DOI: 10.14457/tu.the.2016.678
title: Development of sliding vane expanders for a micro–scale ORC system

description: The Organic Rankine Cycle (ORC) is one of the heat engines which can utilize low−grade heat to produce useful mechanical shaft power. Furthermore, it can be used for producing electricity, or other useful works. The working principle of the ORC is similar to the traditional steam Rankine cycle but there is a difference in the working fluid used. The organic substance is used as the working fluid. Most of the organic substances have a lower boiling point at atmospheric pressure compared to water. Hence, at identical temperature, a higher saturation pressure for the organic substance is made possible. This has high potential to drive the turbine.In the ORC system, the expander is a key role component on the system. Each type of expander has its own characteristic which is suitable for each ORC system capacity. The expanders used for ORC system can be categorized into two types: velocity–type; and volume–type. The volume–type expander are more practical for the micro–scale ORC system because they are characterized by lower flow rates, higher pressure ratio, and much lower rotational speeds compared with the velocity–type expander. The volume–type expanders can tolerate two–phase flow conditions, which may appear at the end of expansion in some operating condition.The sliding vane expander, which is one of the volume–type expanders, is selected to apply with a micro–scale ORC system. This expander is very attractive in applications where low initial cost and high power density are much more important than efficiency. Even though its efficiency is relatively low compared to the other types, it has relatively simple structure and consists of a comparatively small number of low cost parts.This study focused on the development of sliding vane expanders (2AM and 1AM expanders). They were modified from two commercially available air motor (GAST 2AM and GAST 1AM air motor). The 2AM and 1AM expanders were totally manufactured in–house at the SIIT mechanical engineering laboratory. They were redesigned while keeping the original essential dimensions and operating principles of the original GAST air motors. They were modified so that the units were leak proof and suitable to use as expenders for a micro scale ORC.The sliding vane expander was successfully developed and tested with a micro–scale ORC system. The expander was workable with the system at the various operating conditions. The experimental results show that the expander provided an acceptable performance.
DOI: 10.5281/zenodo.1193541
title: X-Ray Spectrum Of A Warped Disk Model

description: In Buchner et al. (in prep) a warped disk geometry is studied as an X-ray obscurer of AGN. We irradiate it with a isotropic powerlaw.

The model has one geometry parameter, the extent of the warp.<br>
Further parameters are:<br>
3) Photon index and energy cut-off of the corona<br>
4) Column density in the line of sight (up to 10^26)<br>
5) Viewing angle.

We release XSPEC table spectra.
DOI: 10.15151/esrf-es-20306689
title: TEST
DOI: 10.15151/esrf-es-90633157
title: Heidelberg BAG (HeidelBAG)
DOI: 10.5281/zenodo.1190924
title: The Primordial Magetic Field In The Local Universe

description: This  dataset contains the 3D structure of large scale magnetic fields in the local Universe, which were seeded by density perturbations during the radiation dominated epoch  and later on were evolved by structure formation. This relies on three dimensional initial density fields inferred from the 2M++ galaxy compilation via the Bayesian algorithm. Using those, we estimate the magnetogenesis by the so called Harrison mechanism.<br>
<br>
DOI: 10.5281/zenodo.1190925
title: The Primordial Magetic Field In The Local Universe

description: This  dataset contains the 3D structure of large scale magnetic fields in the local Universe, which were seeded by density perturbations during the radiation dominated epoch  and later on were evolved by structure formation. This relies on three dimensional initial density fields inferred from the 2M++ galaxy compilation via the Bayesian algorithm. Using those, we estimate the magnetogenesis by the so called Harrison mechanism.<br>
<br>
DOI: 10.5281/zenodo.1193820
title: Twitter Data Export

description: My latest Twitter public data as exported by Twitter Inc., used for political activism purposes.
DOI: 10.5281/zenodo.1193821
title: Twitter Data Export

description: My latest Twitter public data as exported by Twitter Inc., used for political activism purposes.
DOI: 10.5281/zenodo.1193929
title: Model Output: Nemo-Cice With An Emergent Sea Ice Floe Size Distribution

description: NEMO-CICE model output from experiments with and without an emergent sea ice floe size distribution.

See README for further details
DOI: 10.5281/zenodo.1193930
title: Model Output: Nemo-Cice With An Emergent Sea Ice Floe Size Distribution

description: NEMO-CICE model output from experiments with and without an emergent sea ice floe size distribution.

See README for further details
DOI: 10.6073/pasta/bf6b727624e6c9ce17152a49542f9f94
title: Soil percent carbon and nitrogen:Effect of Burning Patterns on Vegetation in the Fish Lake Burn Compartments

description: This study examines the effects of long-term prescribed burning treatments on vegetation structure and composition, productivity, and nutrient cycling in upland oak savanna and woodland vegetation. The basis for the study is an ongoing, experimental prescribed burning program begun in 1964 at Cedar Creek, and a similar program operating since 1962 on the adjacent Helen Allison Savanna property (owned by The Nature Conservancy). These prescribed burning programs are designed to subject upland oak communities (and some old fields) to different burn frequencies and patterns of burning, with the ultimate objectives of 1) restoring and maintaining the historically important savanna and open woodland vegetation, and 2) providing information about the effects of different burning patterns on vegetation structure and composition. This study addresses the latter of these two purposes and expands on it by also investigating possible influences of fire on resource availability (nutrients, water, and light) and net primary productivity. This study represents a continuation and expansion of experiments 015 and 094.
DOI: 10.5281/zenodo.1193822
title: Twitter Data

description: Twitter data
DOI: 10.5281/zenodo.1193823
title: Twitter Data

description: Twitter data
DOI: 10.5281/zenodo.1193527
title: Front-End System1

description: This is a system which uses deep-learning based front-end techniques.
DOI: 10.15151/esrf-es-90633392
title: BAG STRASBOURG NANCY PALAISEAU
DOI: 10.5281/zenodo.1193834
title: Baseline_Dev

description: BASELINE_dev
DOI: 10.5281/zenodo.1193835
title: Ws-Cr

description: DIHARD16kHz_w2s1_bezTicha(SegMeziTich)_VAD_SCDref_testSetMighty_ivec_Recluster0_M2048_DS20_mad_L100
DOI: 10.5281/zenodo.1193655
title: Wind Tunnel Experiments On Wind Turbine Wakes In Yaw

description: This data set contains Laser Doppler Anemometer measurements in the wake behind two different model wind turbines, recorded in a wind tunnel campain at the NTNU in Trondheim. Full plane wake data were recorded, with a focus on the effect of yaw misalignment and inflow turbulence. Please refer to the documentation document for more information.
description: {"references": ["Bartl, J. et al., Wind tunnel experiments on wind turbine wakes in yaw: Effects of inflow turbulence and shear. Wind Energy Science Discussions, 2018", "Schottler, J. et al, Wind tunnel experiments on wind turbine wakes in yaw: Redefining the wake width. Wind Energy Science Discussions, 2018", "Schottler, J. et al, Comparative study on the wake deflection behind yawed wind turbine models. Journal of Physics: Conference Series, 854:012032, 2017"]}
DOI: 10.5281/zenodo.1193656
title: Wind Tunnel Experiments On Wind Turbine Wakes In Yaw

description: This data set contains Laser Doppler Anemometer measurements in the wake behind two different model wind turbines, recorded in a wind tunnel campain at the NTNU in Trondheim. Full plane wake data were recorded, with a focus on the effect of yaw misalignment and inflow turbulence. Please refer to the documentation document for more information.
description: {"references": ["Bartl, J. et al., Wind tunnel experiments on wind turbine wakes in yaw: Effects of inflow turbulence and shear. Wind Energy Science Discussions, 2018", "Schottler, J. et al, Wind tunnel experiments on wind turbine wakes in yaw: Redefining the wake width. Wind Energy Science Discussions, 2018", "Schottler, J. et al, Comparative study on the wake deflection behind yawed wind turbine models. Journal of Physics: Conference Series, 854:012032, 2017"]}
DOI: 10.21227/h23q0h
title: Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number
DOI: 10.5281/zenodo.1193536
title: Example 16S Metagenomics Dataset

description: This is a 16S Metagenomics example dataset obtained by transforming data originally from Batista et al. (2015). It consists of data corresponding to 2 conditions (WT untreated and WT after Streptomycin treatment) with 5 replicates each, where exactly 10000 reads were obtained from the original forward raw reads of each sample. This dataset includes a metadata file, sequencing reads as well as the greengenes reference dataset, which is given here for convenience and reproducibility.
DOI: 10.5281/zenodo.1193659
title: Data Providers Package For Reporting Monitoring Results For Veterinary Medicinal Product Residues (Official Data Reporting Phase)

description: This data providers package provides the data collection configuration and supporting materials for reporting veterinary medicinal product residues (VMPR) results according to Council Directive 96/23/EC of 29 April 1996 on measures to monitor certain substances and residues thereof in live animals and animal products and repealing Directives 85/358/EEC and 86/469/EEC and Decisions 89/187/EEC and 91/664/EEC. These are to be used for the official data reporting phase.

The package includes:

Advice on the values to be reported for the mandatory fields specified for this data collection.

The Standard Sample Description Version 2 XML schema definition for VMPR reporting.

The STX transformation file which automatically assigns sampEventId and sampAnId when this information is not provided.

The general and VMPR specific business rules applied for the automatic validation of the submitted datasets.

The VMPR specific terminologies to be used for reporting analytical methods and the residues included in the scope of the analytical methods.

An example of a reportable dataset following the Quick Start Reporting guide.

Excel Mapping tool to convert excel files after mapping into XML document.

Guidance on how to use the Excel Mapping tool.

Guidance on how to run the validation report after submitting data to the DCF.
description: data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.1193837
title: Usp5 Zf-Ubd Differential Scanning Fluorimetry Assay Optimization

description: Optimization of a differential scanning fluorimetry (DSF) assay for USP5 zinc finger ubiquitin binding domain (Zf-UBD) to determine if the presence of detergent in buffer conditions results in significant difference in melting temperatures of USP5 Zf-UBD and if the addition of increasing concentrations of ubiquitin RLRGG peptide results in thermal shift of USP5 Zf-UBD.
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.1193838
title: Usp5 Zf-Ubd Differential Scanning Fluorimetry Assay Optimization

description: Optimization of a differential scanning fluorimetry (DSF) assay for USP5 zinc finger ubiquitin binding domain (Zf-UBD) to determine if the presence of detergent in buffer conditions results in significant difference in melting temperatures of USP5 Zf-UBD and if the addition of increasing concentrations of ubiquitin RLRGG peptide results in thermal shift of USP5 Zf-UBD.
description: Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.14457/tu.the.2016.681
title: Concept name similarity measure on SNOMED CT

description: Semantic similarity measure between concepts by exploiting medical ontologies is a very essential task for exacting medical information and knowledge discovery. One important application is a health decision support system that recommends similar or alternative treatments between disease concepts from the medical ontologies according to their similarity degrees. In the past, all of the existing similarity measures estimate the similarity based on the taxonomical path length between evaluated two concepts and the distance from the ontology hierarchy. But taxonomic-based similarity measures cannot be accepted for all concepts in an ontology because it includes “primitive concepts” that have limited amount of information and their definitions are not sufficiently distinguish from other concepts’ definitions in an ontology. Therefore, measuring the similarity based on the taxonomical paths cannot give the desired similarity degrees for all ontology concepts. For this fact, we proposed a new concept name similarity measure based on semantic and syntactic similarities of the concept label. Our proposed measure is mainly intended for primitive concept similarity. To examine the accuracy of our proposed method, we calculate the correlation and error measurements against humanexpert results. Moreover, we make the comparison between the results of our proposed method and existing taxonomic-based similarity measures which got the highest correlation values among the most other existing measures in the literature. As a result, experiments showed that our method gets the highest correlation with humanexpert and outperforms previous similarity measures. Additionally, experimental results show that our proposed method is suitable for all types of ontology concepts - defined concepts and primitive concepts.
DOI: 10.14457/tu.the.2016.682
title: Probabilistic deterioration prediction of prestressed concrete bridge girder

description: In recent years, aging of infrastructure has become a serious concern in Thailand. The performance of structure shows signs of deterioration that need for maintenance in order to ensure safety and serviceability of structure. Especially, prestressed concrete bridge girder that have thousands member on each route of expressway structure and elevated train structure need specific techniques for repairing. Bridge Management Systems (BMSs) have been developed to manage the maintenance of the bridges under the performance of structure and limitation of budget. Consequently, the purpose of this study was to create the software about deterioration prediction of prestressed concrete bridge girder that one part of Bridge Management Systems (BMSs).Deterioration prediction model is proposed in primarily for providing the performance of prestressed concrete in time dependent analysis. In this study, criteria can be classified the criteria into three limit states that comprise with durability, serviceability and ultimate limit states for considering. A reliability of structure was computed based on Monte Carlo simulation. The results demonstrate to influences of performance by parameters such as carbonation concentration, chloride concentration, chloride diffusion, corrosion rate and covering depth of concrete. Additionally, the probability of failure can be improved the accuracy of prediction and easily understood the performance of their criteria by non-mathematicians. In order to accumulate their information for displaying on the software, it used Microsoft access to manage the data and applied for ranking of maintenance decisions.In summary, the uncertainties parameters that identify the selected computational models and their impacts can be evaluated by Monte Carlo simulation to improve the accuracy of prediction. Furthermore, this deterioration prediction of prestressed concrete bridge girder software can be supporting the maintenance management for planning to reduce maintenance cost and extend the service life of structure.