Contributors:Jan Pacina, Jiří Štojdl, Zuzana Lendakova, Tomas Grygar, Martin Dolejš
Raw data used as the input for the analyses within the paper - bathymetry data (sonar), ground penetration radar, sub-bottom profiler, elevation data derived from processed old maps and processed photogrammetric data and LiDAR data.
Metadata for each file included.
Due to the size of the data - they were split into a multiple archive (all files must be downloaded)
Here are all the raw data about the study of "Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human malignancies, and the CT image dataset of 1000 lung cancer patients for discovering the pattern of distribution of values of the texture features and explaining the visual difference of different image feature values, and all of the source code of this study.
Recent advances in powder bed Selective Laser Melting (SLM) of Glenn Research Copper 84 (GRCop-84), a Cr2Nb (8 at. % Cr, 4 at. % Nb) precipitation hardened alloy, produces a fully dense high conductivity alloy with tensile strength (470 MPa yield and 710 MPa ultimate tensile strength (UTS)) superior to other competing copper alloys. The high thermal stability of the Cr2Nb precipitate in the copper matrix reduces coarsening and maintains a 310 MPa yield and 520 MPa UTS after a 900°C, 5-hour heat treatment. The increased cooling rate of small diameter gas atomized powder used as an additive manufacturing feed-stock is shown to suppress agglomeration of primary precipitates during the atomization process and increase tensile strength of the final SLM material. Anisotropy of tensile strength was attributed to internal stress and based on print direction. Void nucleation during fracture was initiated by brittle fracture of precipitate particles. Fracture cusps contain matching precipitate fragment geometry on opposing sides located near the cusp center. An optimal precipitate size of 100-200 nm is predicted for maximum tensile strength.
Contributors:Marc Porr, Sebastian Schwarz, Ferdinand Lange, Laura Niemeyer, Thorleif Hentrop, Daniel Marquard, Patrick Lindner, Thomas Scheper, Sascha Beutel
This repository stores all data necessary to reproduce the TCI gateway module for integrating legacy laboratory devices into the network of the digitized laboratory.
Evaluated data of 206Pb(d,p), 207Pb(d,p), 208Pb(d,p) and
207Pb(d,d'), 208Pb(d,d') taken with the Q3D magnetic spectrograph at
MLL Garching (Germany) in 2004-2016 analyzed by GASPAN and
calibrated by Nuclear Data Sheets 2007 .
In total 62 runs for 206Pb(d,p), 207Pb(d,p), 208Pb(d,p) from three
beam times were analyzed:
130 131 132 133 134
135 136 137 138 139
140 141 143 144 145
146 147 148
314 315 316 317 318
319 321 322 323 324 325
706 707 708 709 710
711 712 713 714 715
716 717 718 719 720
721 722 730 731 732
733 734 735 736 737
738 739 740 741 742
743 744 745
In total 54 runs for 207Pb(d,d'), 208Pb(d,d') from two beam times
506 511 512 515 518 519 520 524 525 526 538 541 542 545 546 548 551
552 556 557 558 560 561 562 563 564
779 782 788 789 813 814 815 818 828 830 831 832 833 835 836 837 839
843 844 845 848 849 850 867 868 869 873 874
Contributors:Haoyu S. Yu, Lucas J. Fiedler, I.M. Alecu, Donald G. Truhlar
We present a Python program, FREQ, for calculating the optimal scale factors for calculating harmonic vibrational frequencies, fundamental vibrational frequencies, and zero-point vibrational energies from electronic structure calculations. The program utilizes a previously published scale factor optimization model (Alecu et al., 2010) to efficiently obtain all three scale factors from a set of computed vibrational harmonic frequencies. In order to obtain the three scale factors, the user only...
Title of program: FREQ
Catalogue Id: AFBH_v1_0
Nature of problem
Optimization of property-specific scale factors for vibrational calculations for a specific electronic model chemistry.
Versions of this program held in the CPC repository in Mendeley Data
AFBH_v1_0; FREQ; 10.1016/j.cpc.2016.09.004
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
Contributors:JUAN CARLOS RODRIGUEZ GAMBOA, CRISTHIAN MANUEL DURÁN ACEVEDO
This dataset is related to the research paper "Electronic Nose for Quality Control of Colombian Coffee through the Detection of Defects in "Cup Tests" published in Sensors (Basel) journal (available online since December 24, 2009, https://www.mdpi.com/1424-8220/10/1/36). Please cite the mentioned article if you found useful information or use the dataset.
This dataset comprises time-series recorded by an electronic nose system (E-Nose) for an application of coffee quality control focused on the detection of defects. The database contains 58 measurements of coffee divided into three groups and labeled as high quality (HQ), average quality (AQ), and low quality (LQ). The time series acquired at 1 Hz of sampling frequency during 300 seconds correspond to 300 data points per sensor. Each file in the dataset has eight columns with the resistance readings in kΩ of the eight gas sensors: SP-12A, SP-31, TGS-813, TGS-842, SP-AQ3, TGS-823, ST-31, TGS-800.
We organized the database into three folders: AQ_Coffee, HQ_Coffee, LQ_Coffee. Each folder contains text files that correspond to different measurements.
The filename identifies the measurement as follows: the first two characters of the filename are an identifier of the quality coffee threshold (AQ: average-quality, HQ: high-quality, LQ: low-quality); and the last two characters indicate the measurement number. For example, file LQ_01 contains the time series recorded when the sample 01 of low-quality coffee was measured.
Cross sections determined from angular distributions [1, 2, 3] of
208Pb(p,p') taken at proton energies Ep = 14.99, 16.30, 16.45,
16.60, 17.30, 17.40, 17.47, 17.75 MeV are evaluated by use of
GASPAN . Calibration was done by comparison to excitation
tar tvfz HJG.wquer.tgz