cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/1rpy-k772
title: Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation tool

description: Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation toolThese data had been donated by Peyman Mahouti in 2019.Donators note:Please cite the following paper if you use this data set:[11] Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.In this data set:The characteristic impedance Z0 value of microstrip transmission lines had been obtained via 3D simulations [1]. The data set is consist of 20440 number of samples which are depend on height of substrate h, die electric constant of substrate εr, width of the transmission line w, frequency f. these samples had been used in [2] for obtaining and analytical expression for Z0 of a microstrip transmission line depend on the variables given in samples. 4290 number of samples had been selected by taking most commonly used substrates such as Rogers, Duroid and FR4 as reference. Rest of the data is selected by authors for a better interpolation and extrapolation result in the obtained analytic expression. Z0 values obtained from simulation had been normalized by 50 Ohm for a better training results. More detailed description and application note can be found in [2].Data set descriptionNumber of samples: 20440Used Substrates: Duroid 5880, Duroid 6006, FR4, Roger 3003, Roger 3006, and non-commercial with different combinations of design parameters.Attributes number: 5 Attributes description: 1- Height of substrate h2- Die electric constant of substrate εr,3- Width of the transmission line w,4- Frequency f,5- Normalized characteristic impedance Z0/50.References[1]- https://www.sonnetsoftware.com/[2]- Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.
DOI: 10.21227/fy6k-r313
title: Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation tool

description: Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation toolThese data had been donated by Peyman Mahouti in 2019.Donators note:Please cite the following paper if you use this data set:[11] Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.In this data set:The characteristic impedance Z0 value of microstrip transmission lines had been obtained via 3D simulations [1]. The data set is consist of 20440 number of samples which are depend on height of substrate h, die electric constant of substrate εr, width of the transmission line w, frequency f. these samples had been used in [2] for obtaining and analytical expression for Z0 of a microstrip transmission line depend on the variables given in samples. 4290 number of samples had been selected by taking most commonly used substrates such as Rogers, Duroid and FR4 as reference. Rest of the data is selected by authors for a better interpolation and extrapolation result in the obtained analytic expression. Z0 values obtained from simulation had been normalized by 50 Ohm for a better training results. More detailed description and application note can be found in [2].Data set descriptionNumber of samples: 20440Used Substrates: Duroid 5880, Duroid 6006, FR4, Roger 3003, Roger 3006, and non-commercial with different combinations of design parameters.Attributes number: 5 Attributes description: 1- Height of substrate h2- Die electric constant of substrate εr,3- Width of the transmission line w,4- Frequency f,5- Normalized characteristic impedance Z0/50.References[1]- https://www.sonnetsoftware.com/[2]- Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.
DOI: 10.21227/kede-sc32
title: Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation tool

description: Characteristic impedance Result of Microstrip Transmission lines with 3D EM simulation toolThese data had been donated by Peyman Mahouti in 2019.Donators note:Please cite the following paper if you use this data set:[1] Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.In this data set:The characteristic impedance Z0 value of microstrip transmission lines had been obtained via 3D simulations [1]. The data set is consist of 20440 number of samples which are depend on height of substrate h, die electric constant of substrate εr, width of the transmission line w, frequency f. these samples had been used in [2] for obtaining and analytical expression for Z0 of a microstrip transmission line depend on the variables given in samples. 4290 number of samples had been selected by taking most commonly used substrates such as Rogers, Duroid and FR4 as reference. Rest of the data is selected by authors for a better interpolation and extrapolation result in the obtained analytic expression. Z0 values obtained from simulation had been normalized by 50 Ohm for a better training results. More detailed description and application note can be found in [2].Data set descriptionNumber of samples: 20440Used Substrates: Duroid 5880, Duroid 6006, FR4, Roger 3003, Roger 3006, and non-commercial with different combinations of design parameters.Attributes number: 5 Attributes description: 1- Height of substrate h2- Die electric constant of substrate εr,3- Width of the transmission line w,4- Frequency f,5- Normalized characteristic impedance Z0/50.References[1]- https://www.sonnetsoftware.com/[2]- Mahouti P, Gunes F, Belen MA, Demirel S. Symbolic Regression for Derivation of an Accurate Analytical Formulation Using Big Data : An Application Example. ACES JOURNAL 2017; 32(5): 574-591.
DOI: 10.17632/gy8v8ytk94.1
title: Data for: Research on Design Optimization and Manufacturing of coating Pipes for Automobile seal Based on Selective Laser Melting

description: the live vidio shows the pipe coating, the PVC coating is applied on the trunk (Faw Volkswagen automobile co. LTD) using the flow pipe.
DOI: 10.17632/5gd3fgrd4d.1
title: Data for: Microscopic Investigation of As Built and Hot Isostatic Pressed Hastelloy X Processed by Selective Laser Melting

description: Figure 2 (b) AB sample ACOM-TEM Figure 3 (a) EDX map raw data Figure 4 (b) HIP sample ACOM-TEM Figure 4 (f) EDX map raw data
DOI: 10.17632/6hhr2pfhbm.1
title: Data for: Potassium isotope fractionation during the high-temperature evaporation determined from the Trinity nuclear test

description: The data set includes major and trace element, K isotopes, and Ca isotopes data for trinitites,
DOI: 10.17632/fxmbvyyg2y.1
title: Data for: Microscopic Investigation of As Built and Hot Isostatic Pressed Hastelloy X Processed by Selective Laser Melting

description: Figure 2 (b) AB sample ACOM-TEM Figure 4 (b) HIP sample ACOM-TEM Table 1 Hardness
DOI: 10.17632/t9jbz6hktn.1
title: Data for: Predicting emotion reactions to news articles in social networks

description: Corpus of Spanish news articles with annotated emotional reaction distribution from tweet responses. 288 news articles, published from 01-01-20015 to 01-01-2017, were collected from three Mexican newspapers (El Universal, La Jornada and Excelsior). The annotation task was developed by four different annotators during a three month period and they tagged the emotions expressed in tweet responses to each news article. Counting of the emotions expressed in tweet responses was used to determine the distribution of these emotions in the news articles.
DOI: 10.17632/z586dv67sb.1
title: Data for: Runoff processes and lateral transport of soil total carbon induce by water erosion in the hilly red soil region of southern China under rainstorm conditions

description: The "Exposed laterite layers","surface layer","TC loss gross amount with runoff and sediments" and "Exposed sand layer slopes" are all for the paper"Runoff processes and lateral transport of soil total carbon induce by water erosion in the hilly red soil region of southern China under rainstorm conditions"
DOI: 10.17632/x63xwjddtv.1
title: Data for: An improved 1-D crustal velocity model for the Central Alborz (Iran) using Particle Swarm Optimization algorithm

description: Relocated local earthquakes after applying the new computed 1-D velocity model.
DOI: 10.17632/5hbwgpfdx4.1
title: Data for: Characterization of particle size distributions during winter haze episodes in urban air
DOI: 10.17632/zg5pvkvtp6.1
title: Data for: Flavonol triglycosides from Ornithopus compressus L. (Fabaceae)

description: Supplementary material to Scharenberg et al. "Flavonol triglycosides from Ornithopus compressus L. (Fabaceae)".
DOI: 10.25919/5ce90c6aea6c7
title: Parkes observations for project P958 semester 2019APRS_24

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until a few months ago, only one burst – the only one known to repeat -  had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy.   
Over the last year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 28 bursts, two of which have been localised to host galaxies at redshifts &gt; 0.3. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population.  Over the next six months we expect to detect another 12 FRBs, which will also have sub-arcsecond localisations.   Here we propose to search this population for repeats.  Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections, will either confirm the presence of additional repeating FRBs or the uniqueness of FRB 121102 amongst the population.
DOI: 10.17632/3gm4dkbzpg.1
title: Data for: Operation of a 50-kWth Chemical Looping Combustion Test Facility Under Autothermal Conditions

description: The operational data file (.hf) and three Jupyter notebooks used for analysis and plotting of the data can be found at Mendeley. The notebooks are written in Python scripting language. A copy of Jupyter Notebooks/Python can be found at https://www.anaconda.com/distribution/. A file is also attached that shows the geometry of the system and to interpret the various tags from the dataset.
DOI: 10.17632/g8czh73hbr.1
title: Data for: A comparison of fatty acid signatures of captive beluga whales and their diets with potential applications to wild populations

description: Daily dietary proportions and total intake mass (kg) of Pacific herring, capelin, California squid, and Chinook salmon fed to an adult and juvenile beluga whale at the Vancouver Aquarium one year prior to death.
DOI: 10.17632/4kf3d5d7rb.1
title: Data for: Testosterone, physical masculinization, and low environmentalism in men

description: Data prepared and analyzed by N. Landry (First author)
DOI: 10.17632/bv4hgh98w7.1
title: Data for: Observing the effects of lithology transition zone properties on fracture vertical propagation behavior for coal measure strata
DOI: 10.25919/5cea271b11371
title: Parkes observations for project P892 semester 2019APRS_BPSR_01

description: SUPERBx looks at the highest Galactic latitudes in a search for pulsars and fast radio bursts (FRBs). We use optimised GPU codes and supercomputing to search for these, making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. Our pulsar discoveries are typically nearby scintillating sources, intermittent sources and those in interesting binary systems. Our FRB discoveries have discovery lags of ~1 second, rather than months/years and these feed rapid alerts to the world-wide follow-up community via a dedicated VOEvent format an Astronomer's Telegrams. The goal of this is to allow localisation of the discovered FRBs. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.
DOI: 10.17632/9syh4kkyz4.1
title: Data for: The expression of the Oceanic Anoxic Event 2 (OAE 2) in the northeast of Brazil (Sergipe-Alagoas Basin)
DOI: 10.17894/ucph.356ebf59-2d6b-4550-a897-fb940778a4f9
title: Data for, A simplified DNA extraction protocol for unsorted bulk arthropod samples that maintains exoskeletal integrity
DOI: 10.5519/qd.gl4x6dgv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/vs62f96g6p.1
title: Data for: An Interesting Oxidation Phenomenon of Cr coatings on Zr-4 substrates under High Temperature Steam Environment

description: The raw data file of XRD is in the XRD folder. The surface and cross-section morphology figures are in the SEM folder. The elemental analysis of the files for EDS is in the EDS folder.
DOI: 10.5281/zenodo.3228545
title: #42 in ear inflammation model

description: Original PET image files for compound #42 in ear inflammation model
DOI: 10.5281/zenodo.3228546
title: #42 in ear inflammation model

description: Original PET image files for compound #42 in ear inflammation model
DOI: 10.21227/m7jv-1s11
title: Website Fingerprinting - Last Level Cache Contention Traces

description: Website fingerprinting attacks, which use statistical analysis on network traffic to compromise user privacy, have been shown to be effective even if the traffic is sent over anonymity-preserving networks such as Tor. The classical attack model used to evaluate website fingerprinting attacks assumes an on-path adversary, who can observe all traffic traveling between the user's computer and the secure network. In this work we investigate these attacks under a different attack model, in which the adversary is capable of sending a small amount of malicious JavaScript code to the target user's computer. The malicious code mounts a cache side- channel attack, which exploits the effects of contention on the CPU's cache, to identify other websites being browsed. The effectiveness of this attack scenario has never been systematically analyzed, especially in the open-world model which assumes that the user is visiting a mix of both sensitive and non-sensitive sites. We show that cache website fingerprinting attacks in JavaScript are highly feasible. Specifically, we use machine learning techniques to classify traces of cache activity. Unlike prior works, which try to identify cache conflicts, our work measures the overall occupancy of the last- level cache. We show that our approach achieves high classification accuracy in both the open-world and the closed- world models. We further show that our attack is more resistant than network-based fingerprinting to the effects of response caching, and that our techniques are resilient both to network-based defenses and to side-channel countermeasures introduced to modern browsers as a response to the Spectre attack. To protect against cache-based website fingerprinting, new defense mechanisms must be introduced to privacy-sensitive browsers and websites. We investigate one such mechanism, and show that generating artificial cache activity reduces the effectiveness of the attack and completely eliminates it when used in the Tor Browser.
DOI: 10.21227/4mpv-ay85
title: SNU-B36-50: an inter-floor noise dataset

description: SNU-B36-50E is an inter-floor noise dataset collected in building 36 at Seoul National University.It is designed for evaluation of an inter-floor noise type/position classifier.This dataset is a part of the conference paper:https://ieeexplore.ieee.org/abstract/document/8521392 The inter-floor noises included in the dataset can be classified into 5 noise types and 19 positions.The noise types are- A medicine ball falling on the floor from a height of 1.2 m (MB)- A Hammer dropped from 1.2m above the floor (HD)- Hammering (HH)- Chair dragging (CD)- Running a vacuum cleaner (VC) And the positions ([floor][distance from the origin along the X-coordinate]) are- 1F0m, 1F6m, 1F12m- 2F0m, 2F6m, 2F12m- 3F0m, 3F1m, 3F2m, 3F3m, 3F4m, 3F5m, 3F6m, 3F7m, 3F8m, 3F9m, 3F10m, 3F11m, 3F12m A smartphone microphone was used as a receiver to record the inter-floor noises.The noises were sampled at 44,100Hz for ~5 s.
DOI: 10.21227/cjzf-e074
title: SNU-B36-50: an inter-floor noise dataset

description: SNU-B36-50E is an inter-floor noise dataset collected in building 36 at Seoul National University.It is designed for evaluation of an inter-floor noise type/position classifier.This dataset is a part of the conference paper:https://ieeexplore.ieee.org/abstract/document/8521392 The inter-floor noises included in the dataset can be classified into 5 noise types and 19 positions.The noise types are- A medicine ball falling on the floor from a height of 1.2 m (MB)- A Hammer dropped from 1.2m above the floor (HD)- Hammering (HH)- Chair dragging (CD)- Running a vacuum cleaner (VC) And the positions ([floor][distance from the origin along the X-coordinate]) are- 1F0m, 1F6m, 1F12m- 2F0m, 2F6m, 2F12m- 3F0m, 3F1m, 3F2m, 3F3m, 3F4m, 3F5m, 3F6m, 3F7m, 3F8m, 3F9m, 3F10m, 3F11m, 3F12m A smartphone microphone was used as a receiver to record the inter-floor noises.The noises were sampled at 44,100Hz for ~5 s.
DOI: 10.7910/dvn/tr8owb/hrcl3e
title: Saint-Raymond_ventes_préhistoire.xls

description: Liste des ventes aux enchères publiques, en France, qui dispersèrent des pièces préhistoriques entre 1882 et 1941 : retranscription des catalogues de vente et association avec le procès-verbal correspondant (noms et adresses des vendeurs et adjudicataires, prix d'adjudication).
DOI: 10.5281/zenodo.3228754
title: Molecular dynamics simulations of polycrystalline methane hydrates under shear loading: Positions at maximum stress

description: Lammps data files from approximately (closest in time of available dumps) the point in simulations with the largest stress.

A later version of this dataset will contain more information about the data, and also contain input scripts and thermodynamics outputs from the simulations.

The simulations of this dataset are similar to the ones from;  Wu, J., Ning, F., Trinh, T. T., Kjelstrup, S., Vlugt, T. J., He, J., ... & Zhang, Z. (2015). Mechanical instability of monocrystalline and polycrystalline methane hydrates. <em>Nature communications</em>, <em>6</em>, 8743, except that in the present dataset, the hydrate polycrystals were subjected to shear loading rather than tensile and compressional loading.
DOI: 10.25345/c5w63s
title: MassIVE MSV000083859 - 2019-05-26-GCMS-data-first-trial
title: GCMS single quad data including fecal samples, dietary samples, and quality control samples.
DOI: 10.5281/zenodo.3229400
title: Responses to "Semantic Web: Perspectives" Questionnaire

description: The dataset provides material relating to a questionnaire entitled "Semantic Web: Perspectives". This questionnaire was addressed to the W3C Semantic Web mailing list (semantic-web@w3.org) and was open to responses from May 12th to May 25th, 2019. A total of 113 responses were collected in this time. The following files are provided:


	<strong>public-comments.txt:</strong> provides the public comments of respondents in plain text;
	<strong>questionnaire-form.pdf:</strong> illustrates the design of the questionnaire, including questions, types of responses permitted, etc.;
	<strong>questionnaire-responses.tsv:</strong> lists the individual responses (without private comments) as a tab-separated values file;
	<strong>success-keywords.xlsx:</strong> provides a spreadsheet mapping success story responses to a list of keywords, further providing statistics on these keywords;
	<strong>wordcloud-bw.svg:</strong> provides a word-cloud of success-story keywords in black & white;
	<strong>wordcloud-colour.svg:</strong> provides a word-cloud of success-story keywords in colour.


The word-clouds were produced using Jason Davies' online service, copying and pasting the keywords from the  <strong>success-keywords.xlsx</strong> spreadsheet (e.g., Column A, Sheet Statistics) into the text field; the following settings were selected: Orientations from 0° to 0°, Spiral: Rectangular; Scale: n; Number of words: 400; One word per line: ticked; Font: Patua One (must be installed locally beforehand). The resulting SVG files were later modified in a text editor to add a link to the font used, to tighten the bounding box, and to produce a black & white version.

We thank the respondents for providing their input.
DOI: 10.6084/m9.figshare.8186987
title: data.sharing.xlsx

description: any question about this data can contact with me.
DOI: 10.6084/m9.figshare.8186987.v1
title: data.sharing.xlsx

description: any question about this data can contact with me.
DOI: 10.17632/jfkh5s2dy9.1
title: Data for: Stone consolidation by biomineralisation. Contribution for a new conceptual and practical approach to consolidate soft decayed limestones

description: Supplementary material S1: Deterioration patterns in elements of Ançã stone, in the Queluz gardens. S2: Main portal of Loulé church and details of intense scaling. S3: Limestone elements with scaling and deep cracking network in the main portal of Loulé church. S4: Santa Cruz church, Coimbra, Portugal, in 1997, before the intervention. S5 – Aspects of the intense spalling, scaling and deep fractures in limestone blocks of Porta Especiosa (Old Cathedral of Coimbra).
DOI: 10.5281/zenodo.2648392
title: Traffic forecasting with Virtual Induction Loops - SUMO simulation dataset

description: This repository is associated with my doctoral dissertation titled, "<strong>Smartphone based applications for Road Traffic Telematics</strong>". In particular this repository serves as the basis of Chapter 7 titled, "<strong>Traffic forecasting with Virtual Induction Loops (VIL)</strong>". The basic idea is to validate a traffic forecasting system which uses machine learning techniques on the simulation of real traffic flows on a real intersection in the City of Turin. This dataset contains simulation output from SUMO software for 56 real days between the months of October-2017 to April-2018. Details about these days are available in my thesis. For each day, 3 output files are available. Here is the description and naming convention:


	M1_100seed_100pr_dump.csv (This is the data dump file from SUMO. It contains flows of every single vehicle that was simulated. Naming convention is day_seed_vilPenetrationRate_dump.csv)
	M1_100seed_ilNorth_100pr.xml (This is the output from a simulated induction loop for Northbound traffic. Naming convention is day_seed_ilNorth_vilPenetrationRate.xml)
	M1_100seed_ilSouth_100pr.xml (This is the output from a simulated induction loop for Southbound traffic. Naming convention is day_seed_ilSouth_vilPenetrationRate.xml)


For further details, please refer to my thesis.
DOI: 10.5517/ccdc.csd.cc1nq8rd
title: CCDC 1540754: Experimental Crystal Structure Determination

description: Related Article: Songül Eğlence-Bakır, Ozlem Sacan, Musa Şahin, Refiye Yanardag, Bahri Ülküseven|2019|J.Mol.Struct.|1194|35|doi:10.1016/j.molstruc.2019.05.077
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5519/qd.e07p9zco
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (70 records)