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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 [1]. 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 were analyzed: 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
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Abstract 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)
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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.
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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 [4]. Calibration was done by comparison to excitation functions [5]. tar tvfz HJG.wquer.tgz 34275 1499.wq_mar20 32737 1630.wq_mar20 115895 1645.wq_mar20 43766 1660.wq_mar20 51369 1740.wq_mar20 52409 1747.wq_mar20 49319 1775.wq_mar20
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Evaluated data of 208Pb(p,p') taken with 14.8 < E < 18.2 MeV in 2003-2009 analyzed by GASPAN and calibrated by Nuclear Data Sheets 2007 [1]. In total 335 runs were analyzed. run numbers 107 108 109 110 111 112 113 114 115 116 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 143 146 147 148 149 150 151 152 153 154 155 156 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 185 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 225 226 227 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 444 445 446 448 449 452 460 461 462 463 464 465 466 467 468 469 470 471 472 474 475 476 477 478 479 480 481 482 483 484 485 486 501 502 503 504 505 507 509 510 515 516 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 539 540 541 542 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 622 623 624 625 626 627 628 629 630 631 632 633 634 637 638 639 641 642 643 644 645 646 647 650 651 652 653 656 657 658 659 660 662 663 664 665 666 667 668 671 672 673 674 675 676
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These files contain the raw data, the R code, and a reading guide for the article "Incentives, Performance and Choking in Darts".
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Supplementary data files related to the article "Genome-wide association studies and Mendelian randomization analyses for leisure sedentary behaviours" by van de Vegte et al.
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The content of this data computational calculated data of the distribution of temperature fields, gas flows oxidizer, air flows in the cooling system of the bipolar plate, depending on the location of the oxidizer/cooling supply system. Solid Works Flow Simulation and Solid Works Simulation software program complex were used to perform calculations.
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Spectra for 208Pb(p,p') taken with semiconductor detectors at scattering angles 80° - 170° covering isobaric analog resonances in 209Bi (g7/2, g9/2, d3/2, d5/2, j15/2) with E = 14.99, 16.30, 16.45, 16.60, 17.40, 17.47, 17.56 MeV
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This dataset supports the human way of navigation. This is a vision-based repository. This is a collection of human understandable markers. These markers are extracted from real-time scenes captured at Lovely Professional University campus, Phagwara-144411, India. The markers in this dataset are generally the buildings located on the sides of the roads that can act as long term markers for future usage. Three types of repositories are made named Primary repository, Secondary repository and Tertiary repository, consisting of main markers, supportive markers and backup markers respectively.
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