The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.
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3883 Views
Low emittance rings: magnet comparison
For different light sources magnet data were gathered. The main field parameters and the multipoles were collected for the different magnets.
Main field and multipoles for the individual machines.
Typically read by pandas dataframes but similar software packages should be able to handle the data.
Main field gives main strength (dipole, gradient, ...), pole radius or pole gap and so on
Multipoles are listed for the different machines in separate files at the reference radius of the machine.
ESRF-EBS uses different reference radii internally (7 and 13 mm). Data were recalculated for a reference radius of 10 mm for this machine.
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data of fishing operations from beidou, AIS and policy.
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60 Views
A dataset containing system and service performance metrics, and user-facing quality metrics generated by running load tests against a microservice-based system under varying environmental and service configuration conditons.
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Self-Admitted Technical Debt (SATD) is a form of Technical Debt where developers document the debt using source code comments (SATD-C) or issues (SATD-I). However, it is still unclear the circumstances that drive developers to choose one or another. In this paper, we survey authors of both types of debts using a large-scale dataset containing 74K SATD-C and 20K SATD-I instances, extracted from 190 GitHub projects. As a result, we provide 13 guidelines to support developers to decide when to use comments or issues to report Technical Debt.
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This dataset is a Verilog-a implementation of a dynamic compact model of ferroelectric capacitance. It can be run with a SPICE-type circuit simulator.
Researchers using this dataset should cite it as follows: Ning Feng, Hao Li, Chang Su, Lining Zhang, Qianqian Huang,Runsheng Wang, and Ru Huang, A Dynamic Compact Model for Ferroelectric Capacitance,Techrxiv, doi: 10.36227/techrxiv.17061260
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We have long known that the characterization of protein three-dimensional structure is key to obtaining a detailed understanding of protein function. Computational approaches to protein structure characterization have largely addressed a narrow formulation of the problem, where the goal is the determination of one structure, also known as the native structure, from a given protein amino-acid sequence. However, many researchers over the years have argued for broadening our view of proteins to account for the multiplicity of native structures.
The .zip file contains 3 folders when unzipped. We provide the details of each folder below.
“monomorphic_benchmark_targets” folder: Contains 20 protein targets organized into 20 subfolders. Data for each protein is provided in a subfolder named with its pdb id. Each such subfolder contains the following 4 files.
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A .fasta file containing the amino-acid sequence of the protein.
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A .pdb file containing the native tertiary conformation coordinates. Detailed format for a .pdb file can be found in http://www.wwpdb.org/documentation/file-format
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A .frag3 file containing the fragments of length 3 for the protein sequence generated from http://old.robetta.org/
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A .frag9 file containing the fragments of length 9 for the protein sequence generated from http://old.robetta.org/
“monomorphic_casp_targets” folder: Contains 10 protein targets organized into 10 subfolders. Data for each protein is provided in a subfolder named with its casp id. Each such subfolder contains the following 4 files.
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A .fasta file containing the amino-acid sequence of the protein.
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A .pdb file containing the native tertiary conformation coordinates.
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A .frag3 file containing the fragments of length 3 for the protein sequence generated from http://old.robetta.org/
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A .frag9 file containing the fragments of length 9 for the protein sequence generated from http://old.robetta.org/
“metamorphic_benchmark_targets” folder: Contains 18 pairs of protein targets organized into 18 subfolders. Data for each target pair is provided in a subfolder named with its pair id (as indicated in the paper). Each such subfolder contains the following 5 files.
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A .fasta file containing the amino-acid sequence common to the pair of target proteins.
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A .pdb file containing the native tertiary conformation coordinates for the first target in the target pair.
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A .pdb file containing the native tertiary conformation coordinates for the second target in the target pair.
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A .frag3 file containing the fragments of length 3 for the protein sequence generated from http://old.robetta.org/
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A .frag9 file containing the fragments of length 9 for the protein sequence generated from http://old.robetta.org/
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CognitiveMetrix-db
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79 Views
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24 Views