cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3258310
title: WP3_TST_VCSEL&driverPerformance_v1

description: WP3_TST_D32-driverHXT14100_10GOOK_V1.mat

WP3_TST_D32-driverHXT14100_10GPAM_V1.mat

WP3_TST_D32-driverHXT14100-DMT-data-10GHz_V1.mat

WP3_TST_D32-driverHXT14100-DMT-SNR-10GHz_V1.mat

WP3_TST_D32-driverHXT14100-DMT-trainingSequence-10GHz_V1.mat

WP3_TST_D32-driverHXT44100-DMT-data-10GHz_V1.mat

WP3_TST_D32-driverHXT44100-DMT-SNR-10GHz_V1.mat

WP3_TST_D32-driverHXT44100-DMT-SNR-16GHz_equalizer_V1.mat

WP3_TST_D32-driverHXT44100-DMT-SNR-16GHz-noEqualizer_V1.mat

WP3_TST_D32-driverHXT44100-DMT-trainingSequence-10GHz_V1.mat

WP3_TST_D32-Drivers-characterization_V1.xslx

The files contain experimental results (measurements). In particular, the time samples of 10-Gb/s OOK/PAM4 are recorded for a short-cavity VCSEL directly modulated by commercial IDT drivers. The VCSEL is bonded to the driver as explained in PASSION Deliverable D3.2 http://www.passion-project.eu/wp-content/uploads/2018/09/PASSION_D3.2_v1.0.pdf. Moreover, the results obtained with DMT modulation on 10 GHz bandwidth are recorded in the .mat files, together with the SNR obtained using the QPSK uniform loading. Finally, a characterization of the VCSELs with the experimented drivers is reported in the Excel file.
description: These experimental results have been used for PASSION Deliverable D3.2 http://www.passion-project.eu/wp-content/uploads/2018/09/PASSION_D3.2_v1.0.pdf
DOI: 10.5281/zenodo.3258311
title: WP3_TST_VCSEL&driverPerformance_v1

description: WP3_TST_D32-driverHXT14100_10GOOK_V1.mat

WP3_TST_D32-driverHXT14100_10GPAM_V1.mat

WP3_TST_D32-driverHXT14100-DMT-data-10GHz_V1.mat

WP3_TST_D32-driverHXT14100-DMT-SNR-10GHz_V1.mat

WP3_TST_D32-driverHXT14100-DMT-trainingSequence-10GHz_V1.mat

WP3_TST_D32-driverHXT44100-DMT-data-10GHz_V1.mat

WP3_TST_D32-driverHXT44100-DMT-SNR-10GHz_V1.mat

WP3_TST_D32-driverHXT44100-DMT-SNR-16GHz_equalizer_V1.mat

WP3_TST_D32-driverHXT44100-DMT-SNR-16GHz-noEqualizer_V1.mat

WP3_TST_D32-driverHXT44100-DMT-trainingSequence-10GHz_V1.mat

WP3_TST_D32-Drivers-characterization_V1.xslx

The files contain experimental results (measurements). In particular, the time samples of 10-Gb/s OOK/PAM4 are recorded for a short-cavity VCSEL directly modulated by commercial IDT drivers. The VCSEL is bonded to the driver as explained in PASSION Deliverable D3.2 http://www.passion-project.eu/wp-content/uploads/2018/09/PASSION_D3.2_v1.0.pdf. Moreover, the results obtained with DMT modulation on 10 GHz bandwidth are recorded in the .mat files, together with the SNR obtained using the QPSK uniform loading. Finally, a characterization of the VCSELs with the experimented drivers is reported in the Excel file.
description: These experimental results have been used for PASSION Deliverable D3.2 http://www.passion-project.eu/wp-content/uploads/2018/09/PASSION_D3.2_v1.0.pdf
DOI: 10.14272/fpeittirqbxglz-uhfffaoysa-n.1
title: 1,3-dibenzyl-5-iodopyrimidine-2,4-dione
title: InChI=1S/C18H15IN2O2/c19-16-13-20(11-14-7-3-1-4-8-14)18(23)21(17(16)22)12-15-9-5-2-6-10-15/h1-10,13H,11-12H2

description: This dataset contains experimental data from a sample (1,3-dibenzyl-5-iodopyrimidine-2,4-dione, InChI=1S/C18H15IN2O2/c19-16-13-20(11-14-7-3-1-4-8-14)18(23)21(17(16)22)12-15-9-5-2-6-10-15/h1-10,13H,11-12H2).
      The datasets from the following experiments are available:
      
      IR
DOI: 10.14272/fpeittirqbxglz-uhfffaoysa-n/ir
title: IR (1,3-dibenzyl-5-iodopyrimidine-2,4-dione, InChI=1S/C18H15IN2O2/c19-16-13-20(11-14-7-3-1-4-8-14)18(23)21(17(16)22)12-15-9-5-2-6-10-15/h1-10,13H,11-12H2)

description: dataset for IR
      
      IR (ATR, ṽ) = 3064, 3031, 3007, 2936, 2871, 2854, 1700, 1639, 1616, 1585, 1494, 1453, 1432, 1367, 1353, 1323, 1217, 1180, 1157, 1091, 1067, 1028, 1003, 987, 956, 933, 905, 846, 823, 752, 731, 696, 626, 616, 601, 550, 520, 472, 453, 421 cm–1.
DOI: 10.14272/hynqtszbtiofkh-uhfffaoysa-n.1
title: 2-amino-5-hydroxybenzoic acid
title: InChI=1S/C7H7NO3/c8-6-2-1-4(9)3-5(6)7(10)11/h1-3,9H,8H2,(H,10,11)

description: This dataset contains experimental data from a sample (2-amino-5-hydroxybenzoic acid, InChI=1S/C7H7NO3/c8-6-2-1-4(9)3-5(6)7(10)11/h1-3,9H,8H2,(H,10,11)).
      The datasets from the following experiments are available:
      
      IR
DOI: 10.14272/hynqtszbtiofkh-uhfffaoysa-n/ir
title: IR (2-amino-5-hydroxybenzoic acid, InChI=1S/C7H7NO3/c8-6-2-1-4(9)3-5(6)7(10)11/h1-3,9H,8H2,(H,10,11))

description: dataset for IR
      
      IR (ATR, ṽ) = 3217, 2776, 2577, 2533, 2487, 1649, 1598, 1558, 1490, 1405, 1340, 1293, 1247, 1186, 1152, 1136, 1098, 1057, 942, 897, 849, 827, 803, 796, 775, 768, 686, 552, 487, 446, 432, 407 cm–1.
DOI: 10.14272/wihofdndqwgfho-uhfffaoysa-n.1
title: C20H20N2O4
title: InChI=1S/C20H20N2O4/c23-19-11-12-21(15-25-13-17-7-3-1-4-8-17)20(24)22(19)16-26-14-18-9-5-2-6-10-18/h1-12H,13-16H2

description: This dataset contains experimental data from a sample (1,3-bis(phenylmethoxymethyl)pyrimidine-2,4-dione, InChI=1S/C20H20N2O4/c23-19-11-12-21(15-25-13-17-7-3-1-4-8-17)20(24)22(19)16-26-14-18-9-5-2-6-10-18/h1-12H,13-16H2).
      The datasets from the following experiments are available:
      
      IR
DOI: 10.14272/wihofdndqwgfho-uhfffaoysa-n/ir
title: IR (1,3-bis(phenylmethoxymethyl)pyrimidine-2,4-dione, InChI=1S/C20H20N2O4/c23-19-11-12-21(15-25-13-17-7-3-1-4-8-17)20(24)22(19)16-26-14-18-9-5-2-6-10-18/h1-12H,13-16H2)

description: dataset for IR
      
      IR (ATR, ṽ) = 3088, 3055, 3029, 3007, 2996, 2972, 2928, 2912, 2874, 1708, 1650, 1608, 1587, 1547, 1496, 1448, 1412, 1397, 1378, 1364, 1346, 1332, 1281, 1249, 1224, 1205, 1193, 1159, 1106, 1099, 1068, 1047, 1027, 997, 975, 952, 921, 911, 902, 832, 798, 772, 744, 727, 693, 662, 603, 571, 558, 483, 470, 465, 422, 407, 385 cm–1.
DOI: 10.5281/zenodo.3258337
title: Helios alphafit plasma dataset v2.1

description: A data set which contains estimates of number density, velocity, and temperatures of the alpha particle population in the solar wind, along with proton beam fraciton estimates, created from systematic fitting of all the original Helios 3D distribution functions during the first perihelion pass of the Helios 1 spacecraft. See the user guide at https://zenodo.org/record/2358793 for information on the variables.
DOI: 10.5281/zenodo.3258338
title: Helios alphafit plasma dataset v2

description: A data set which contains estimates of number density, velocity, and temperatures of the alpha particle population in the solar wind created from systematic fitting of all the original Helios 3D distribution functions during the first perihelion pass of the Helios 1 spacecraft.

 

See the user guide at https://zenodo.org/record/2358793 for information on the variables.
DOI: 10.5281/zenodo.3258656
title: Datasets for "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"

description: Zipped datasets files for replicating results of: "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"

DATASETS WERE NOT CREATED BY US.  DATASETS ARE WORKS OF RESEARCHERS AND PAPERS REFERENCED IN "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"
DOI: 10.5281/zenodo.3258657
title: Datasets for "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"

description: Zipped datasets files for replicating results of: "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"

DATASETS WERE NOT CREATED BY US.  DATASETS ARE WORKS OF RESEARCHERS AND PAPERS REFERENCED IN "T. Murovič, A. Trost, Massively Parallel Combinational Binary Neural Networks for Edge Processing, Elektrotehniški vestnik, vol. 86, no. 1-2, pp. 47-53, 2019"
DOI: 10.17632/6wfnkt3jv8.1
title: A facile polymerisation of magnetic coal to enhanced phosphate removal from solution, data set

description: This data is part of the manuscript "A facile polymerisation of magnetic coal to enhanced phosphate removal from solution", https://doi.org/10.1016/j.jenvman.2019.06.088 The information contains adsorption isotherm, kinetics, error estimates, XRD, FTIR, and TGA.
DOI: 10.17632/xb87344697.3
title: 2.2V High Performance Symmetrical Fiber-Shaped Aqueous Supercapacitors Enabled by “Water-in-Salt” Gel Electrolyte and N-Doped Graphene Fiber

description: The dominated obstacle facing current quasi-solid-state fiber-shaped aqueous supercapacitors (FSASs) system is their quite limited energy density, which is the consequence of insufficient active sites of electrodes, and narrow operating voltage window of electrolyte. In the light of the outlined issues, a novel symmetric FSAS comprising surface-wrinkled and N-doped reduced graphene oxide (rGO) fiber (NRGF) electrodes matched with concentrated “water-in-salt” gel polymer electrolyte (GPE，8.96M) was reported in this work. Benefit from the one-dimensional porous microstructure of NRGF and improved hydration energy of GPE, the assembled FSAS has delivered a widely broadened voltage window of 0-2.2 V, an ultrahigh energy density of 25.6 μWh cm-2 (22.7 mWh cm-3) and an outstanding cycling stability for over 20000 cycles. The electrochemical performance of this FSAS can be well-maintained even under different deformation conditions or after numerous bending cycles. Interestingly, the as-fabricated FSAS can also deliver high energy density from 8.4 μWh cm-2 to 36.6 μWh cm-2 in a temperature range of -20-70 °C, exhibiting a great potential for all-climate aqueous energy device.
DOI: 10.21227/2d6g-c821
title: Deduplication Index for Big Code Datasets

description: Code duplicates in large code corpora have adverse effects on the evaluation and use of machine learning models that rely on them. Most existing corpora suffer from this problem to some extent. This dataset contains a "duplication" index for some of the existing corpora in Big Code research. The method for collecting this dataset is described in "The Adverse Effects of Code Duplication in Machine Learning Models of Code" by Allamanis [ArXiV, to appear in SPLASH 2019].
DOI: 10.21227/e9eb-ma51
title: Deduplication Index for Big Code Datasets

description: Code duplicates in large code corpora have adverse effects on the evaluation and use of machine learning models that rely on them. Most existing corpora suffer from this problem to some extent. This dataset contains a "duplication" index for some of the existing corpora in Big Code research. The method for collecting this dataset is described in "The Adverse Effects of Code Duplication in Machine Learning Models of Code" by Allamanis [ArXiV, to appear in SPLASH 2019].
DOI: 10.17632/xszb89kvhk.1
title: A brief introduction to Multilayer Perceptrons

description: In this contribution we make a description of the fundamental ideas involved in the use of Multilayer Perceptrons, starting whith the McCullock Pitts model of a neuron.
DOI: 10.17632/z7wznk53cf.2
title: Under-dispersed Health Insurance Count Data

description: The data set was used in the article titled "Bayesian Models for Zero Truncated Count Data" with link http://www.journalajpas.com/index.php/AJPAS/article/view/30105 The data set was obtained from health facility in Ota, Ogun State, Nigeria, comprising of National Health Insurance Scheme (NHIS) data with no zero count. A sample of 1647 patients under National Health Insurance Scheme was obtained from July 2016 to July 2017. Response variable (Nencounter) that is, number of encounter (visit to the doctor). The class (Eclass) indicated whether a patient was ever on admission for the period, that is, (in-patient=1, out-patient= 0). Another predictor is (follow-up), indicating whether a patient was on regular check-up or not, (follow-up=1, no follow-up=0). Gender (sex) of patients; (male=1, female=0). Another predictor was Ndiagnosis, which represented the number of diagnosis a patient had for the period of encounter. The last predictor included is biological age of patient. Following the dispersion test, the data is under-dispersed with dispersion parameter =0.7806.
DOI: 10.17632/z7wznk53cf.3
title: Under-dispersed Health Insurance Count Data

description: The data set was used in the article titled "Bayesian Models for Zero Truncated Count Data" with link http://www.journalajpas.com/index.php/AJPAS/article/view/30105 The data set was obtained from health facility in Ota, Ogun State, Nigeria, comprising of National Health Insurance Scheme (NHIS) data with no zero count. A sample of 1647 patients under National Health Insurance Scheme was obtained from July 2016 to July 2017. Response variable (Nencounter) that is, number of encounter (visit to the doctor). The class (Eclass) indicated whether a patient was ever on admission for the period, that is, (in-patient=1, out-patient= 0). Another predictor is (follow-up), indicating whether a patient was on regular check-up or not, (follow-up=1, no follow-up=0). Gender (sex) of patients; (male=1, female=0). Another predictor was Ndiagnosis, which represented the number of diagnosis a patient had for the period of encounter. The last predictor included is biological age of patient. Following the dispersion test, the data is under-dispersed with dispersion parameter =0.7806.
DOI: 10.17632/9dx23j5d64.1
title: Coronary angioscopy with deep learning

description: Supplementary data for the CAS with deep learning. 1) Publication list that we collected CAS images through PubMed search: We selected 142 MEDLINE-indexed articles which include coronary angioscopy pictures, published between April 2000 and April 2019. 2) Source codes for the generative modeling. 3) Representative output images.
DOI: 10.17632/xhs4wtcyk7.1
title: Perineural invasion in squamous cell carcinomas. Results of a prospective study of 1399 tumors
DOI: 10.17632/y8bc7d8c2d.1
title: Data set used in numerical modeling of condensation inside a horizontal tube
DOI: 10.17632/fw79cp9dfk.1
title: Data for Separation of olefins from FCC naphtha by DMSO solvent

description: These data including origin data, quantum chemical calculation data (chk. file), simulation data, and basic data.
DOI: 10.17632/wpy848vsfy.2
title: Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging

description: Data used for the data analysis of the paper: Inglese, P., Correia, G., Pruski, P., Glen, R. C., & Takats, Z. (2019). Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging. Analytical chemistry.
DOI: 10.17632/ynb88g67xy.1
title: Datasets for reliability unit commitment to manage natural gas cost in power system operations

description: Data for Hu, Dan and Ryan, Sarah (2019): "Reliability Unit Commitment to Manage Natural Gas Cost inPower System Operations". This excel table has five tabs: 6bus_7gasnodes: topology and parameters for the 6 bus power system with a 7-node gas system; 24bus_20gasnodes: topology and parameters for the modified IEEE 24 bus power system with a 20-node gas system; 6bus_7gasnodes(Forecast Wind): Forecast 36 hour wind data with a capacity of 400 MW for the 6 bus power system with a 7-node gas system; 24bus_20gasnodes(Forecast Wind): Forecast 36 hour wind data with a capacity of 400 MW for the modified IEEE 24 bus power system with a 20-node gas system;
DOI: 10.21227/2c7x-rj06
title: Proprioceptive Sensor Dataset for Quadruped Robots

description: These datasets are of the hydraulically actuated robot HyQ’s proprioceptive sensors. They include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of linear and yaw motion. All of the datasets are at least five minutes long. The aim of these datasets is to test state estimation using only proprioceptive sensors.
DOI: 10.21942/uva.8332325
title: AHEAD structural MRI Data

description: Files for subjects 0218, 0296, 0413, 0435, 0457, 0471, 0520, 0582, 0621, 0672, 0681, 0814, 0827, 0869, 0884 containing AHEAD structural MRI data in BIDS format.
DOI: 10.17632/rzwfy7ty94.1
title: FA-NBI-GA Optimization Method Applied to the DIN X40CrMoV5-1 Laser Beam Machining Process

description: Results obtained using the FA-NBI-GA approach for the optimization of a DIN X40CrMoV5-1 Laser Beam Machining Process
DOI: 10.17632/yhjg8fbzpj.1
title: Data for: A Science Map of Leadership Research between 1990 and 2017

description: Explanations for the journal selection process for the article "A Computerized Approach to Understanding Leadership Research"
DOI: 10.17632/zhd5xjh9px.1
title: Data for: A Science Map of Leadership Research between 1990 and 2017

description: Here are two high-resolution maps for the article entitled "A Computerized Approach to Understanding Leadership Research", as well as some raw files for VOSViewer to generate interactive maps.
DOI: 10.21942/uva.8332325.v1
title: AHEAD structural MRI Data

description: Files for subjects 0218, 0296, 0413, 0435, 0457, 0471, 0520, 0582, 0621, 0672, 0681, 0814, 0827, 0869, 0884 containing AHEAD structural MRI data in BIDS format.
DOI: 10.14272/uocmtklyrroeta-uhfffaoysa-n.1
title: 1,4-dibromo-2,5-bis(bromomethyl)benzene
title: InChI=1S/C8H6Br4/c9-3-5-1-7(11)6(4-10)2-8(5)12/h1-2H,3-4H2

description: This dataset contains experimental data from a sample (1,4-dibromo-2,5-bis(bromomethyl)benzene, InChI=1S/C8H6Br4/c9-3-5-1-7(11)6(4-10)2-8(5)12/h1-2H,3-4H2). The datasets from the following experiments are available: infrared absorption spectroscopy (IR)
DOI: 10.17632/wj8j6drf6r.2
title: Sexual Orientation and Gender Schemas in Women athletes

description: Two questionnaires were applied to evaluate the intended variables. The first instrument evaluated the sociodemographic profile (age, marital status, sexual orientation - Kinsey scale, modality practiced, training time, hours of training, intensity). The second instrument applied was the Female Inventory of the Self-Concept Gender Schema (IFEGA), used to classify the athletes according to gender typological profile.
DOI: 10.14272/dbbxiwakmsmpdq-sncsuokwsa-n.2
title: C32H31N
title: InChI=1S/C32H31N/c1-24-7-9-28(10-8-24)22-32(30-5-3-2-4-6-30)33-23-31-21-27-16-15-25-11-13-26(14-12-25)17-19-29(31)20-18-27/h2-14,18,20-21,23,32H,15-17,19,22H2,1H3/b33-23-

description: This dataset contains experimental data from a sample (InChI=1S/C32H31N/c1-24-7-9-28(10-8-24)22-32(30-5-3-2-4-6-30)33-23-31-21-27-16-15-25-11-13-26(14-12-25)17-19-29(31)20-18-27/h2-14,18,20-21,23,32H,15-17,19,22H2,1H3/b33-23-).
      The datasets from the following experiments are available:
      
      IR
DOI: 10.14272/dbbxiwakmsmpdq-sncsuokwsa-n/ir.1
title: IR (, InChI=1S/C32H31N/c1-24-7-9-28(10-8-24)22-32(30-5-3-2-4-6-30)33-23-31-21-27-16-15-25-11-13-26(14-12-25)17-19-29(31)20-18-27/h2-14,18,20-21,23,32H,15-17,19,22H2,1H3/b33-23-)

description: dataset for IR
      
      IR (ATR, ṽ) = 3013, 2921, 2854, 1635, 1589, 1514, 1490, 1451, 1436, 1027, 907, 877, 798, 769, 725, 698, 645, 579, 562, 544, 526, 506, 484 cm–1.
DOI: 10.14272/uocmtklyrroeta-uhfffaoysa-n/ir
title: infrared absorption spectroscopy (IR) (1,4-dibromo-2,5-bis(bromomethyl)benzene)
title: InChI=1S/C8H6Br4/c9-3-5-1-7(11)6(4-10)2-8(5)12/h1-2H,3-4H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3077, 3033, 2360, 1779, 1473, 1434, 1358, 1283, 1217, 1190, 1169, 1061, 898, 867, 778, 673, 637, 537, 473, 455, 438, 421, 405, 385, 375 cm–1.
DOI: 10.14272/vgldsunitvxwkt-uhfffaoysa-n.1
title: C22H17NO2
title: InChI=1S/C22H17NO2/c24-19-7-2-8-21-18(19)13-16-12-15(9-10-20(16)25-21)17-6-1-4-14-5-3-11-23-22(14)17/h1,3-6,9-13,21H,2,7-8H2

description: This dataset contains experimental data from a sample (InChI=1S/C22H17NO2/c24-19-7-2-8-21-18(19)13-16-12-15(9-10-20(16)25-21)17-6-1-4-14-5-3-11-23-22(14)17/h1,3-6,9-13,21H,2,7-8H2).
      The datasets from the following experiments are available:
      
      IR
DOI: 10.14272/vgldsunitvxwkt-uhfffaoysa-n/ir
title: IR (, InChI=1S/C22H17NO2/c24-19-7-2-8-21-18(19)13-16-12-15(9-10-20(16)25-21)17-6-1-4-14-5-3-11-23-22(14)17/h1,3-6,9-13,21H,2,7-8H2)

description: dataset for IR
      
      IR (ATR, ṽ) = 3044, 2922, 2851, 2360, 1674, 1635, 1606, 1558, 1489, 1462, 1435, 1419, 1380, 1363, 1309, 1293, 1252, 1232, 1201, 1184, 1171, 1130, 1115, 1054, 1028, 992, 949, 933, 918, 899, 884, 847, 822, 807, 793, 761, 731, 698, 628, 602, 568, 547, 520, 499, 407 cm–1.
DOI: 10.14272/vqegcjlhlbtwrf-ndenluezsa-n.1
title: (Z)-1-(6-bromo-5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)-N-methoxymethanimine
title: InChI=1S/C18H18BrNO/c1-21-20-12-17-15-8-6-13-2-4-14(5-3-13)7-9-16(11-10-15)18(17)19/h2-5,10-12H,6-9H2,1H3/b20-12-

description: This dataset contains experimental data from a sample ((Z)-1-(6-bromo-5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)-N-methoxymethanimine, InChI=1S/C18H18BrNO/c1-21-20-12-17-15-8-6-13-2-4-14(5-3-13)7-9-16(11-10-15)18(17)19/h2-5,10-12H,6-9H2,1H3/b20-12-).
      The datasets from the following experiments are available:
      
      IR
DOI: 10.14272/vqegcjlhlbtwrf-ndenluezsa-n/ir
title: IR ((Z)-1-(6-bromo-5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)-N-methoxymethanimine, InChI=1S/C18H18BrNO/c1-21-20-12-17-15-8-6-13-2-4-14(5-3-13)7-9-16(11-10-15)18(17)19/h2-5,10-12H,6-9H2,1H3/b20-12-)

description: dataset for IR
      
      IR (ATR, ṽ) = 2931, 1536, 1116, 1044, 986, 912, 891, 877, 800, 783, 737, 718, 670, 650, 582, 548, 516, 467, 397 cm–1.
DOI: 10.17632/5g5gkymbhy.1
title: Emotion regulation as a moderator of the relationship between childhood trauma and schizotypy

description: Data of 262 participants are included on the following scales: Schizotypal Personality Questionnaire, Emotion Regulation Questionnaire and Childhood Trauma Questionnaire. The dataset has been used to test, if the maladaptive emotion regulation strategy suppression contributes to the association of childhood trauma and schizotypal personality traits as a mediator or a moderator. Additionally, it has been examined, if the adaptive emotion regulation strategy suppression mediates or moderates the relationship between childhood trauma and schizotypy in a negative way.
DOI: 10.17632/kzm64tt5k7.1
title: Supplemental materials for publication “Distinguishing Stevens-Johnson syndrome/toxic epidermal necrolysis from clinical mimickers during inpatient dermatologic consultation – a retrospective chart review.” JAAD. 2019.

description: Statistical analysis here replicates that performed in the primary manuscript with addition of mucosal involvement (either present or absent) as reported in Supplemental Table 1. Stepwise regression of all significant variables including mucosal involvement yielded an updated model with four predictor variables. A new multivariable model was fit with Nikolsky sign (adjusted OR 49.0, 95% CI 10.6-226.2, p-value &lt;0.001); atypical targets (adjusted OR 26.5, 95% CI 5.5-127.3, p&lt;0.001); fever (adjusted OR 7.6, 95% CI 1.8-33.0, p-value=0.007); mucosal involvement (adjusted OR 21.3, 95% CI 4.1-110.7, p-value &lt;0.001); OR (odds ratio); CI (confidence interval). This new multivariable model for the probability of Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) is defined as indicated in Supplemental Figure 1. This updated model yields a 91.5% sensitivity and 94.6% specificity with a corresponding positive and negative predictive values of 87.1% and 96.6%, respectively. The AUC for the final model is 0.98 (95% confidence interval 0.96, &gt;0.99 and p-value&lt;0.001). Supplemental Figure 2 is a nomogram which provides the relative contributions of each predictor, including mucosal involvement, to the probability of SJS/TEN.