cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4580546
title: EMAT Simulated 3D Nanoparticle Structures Dataset

description: This dataset contains 1000 simulated nanoparticle-like 3D structures and noisy EDX-like elemental maps based on them. These data are intended to be used for quantitative analysis of data processing methods in (EDX) tomography of nanoparticles and training the data-driven approaches for these tasks. <strong>The dataset is structured as follows:</strong> <em>voxel_data/clean</em> 3D voxel grid representation of the simulated nanoparticles. Voxel intensities are adjusted so that the total intensity equals 10<sup>3</sup>. All 3D structures have unique identifiers in 0..999 range. The data derived from a 3D structure preserves this unique identifier. <em>sinograms/clean</em> Tilt series of projection images obtained from the corresponding 3D structures over an angular range of -75..75 degrees with a tilt step of 10 degrees to simulate a typical tilt series used in EDX tomography. Total intensity in each projection image equals 10<sup>3</sup>. <em>sinograms/noisy</em> Tilt series of projection images corrupted with Poisson noise and an additional spatially uniform background noise. <em>projections/clean</em> Projection images extracted from the clean tilt series at 0 degrees tilt angle. <em>projections/noisy</em> Projection images extracted from the noisy tilt series at 0 degrees tilt angle. <em>images/clean</em> Visualizations of the clean projections as PNG images with the intensity range adjusted to 0..255 <em>images/noisy</em> Visualizations of the noisy projections as PNG images with the intensity range adjusted to 0..255 <strong>Data formats</strong> Voxel data, sinograms and projection images are stored in a compressed Matlab binary MAT format. Images are stores in PNG format.
DOI: 10.5281/zenodo.4580545
title: EMAT Simulated 3D Nanoparticle Structures Dataset

description: This dataset contains 1000 simulated nanoparticle-like 3D structures and noisy EDX-like elemental maps based on them. These data are intended to be used for quantitative analysis of data processing methods in (EDX) tomography of nanoparticles and training the data-driven approaches for these tasks. <strong>The dataset is structured as follows:</strong> <em>voxel_data/clean</em> 3D voxel grid representation of the simulated nanoparticles. Voxel intensities are adjusted so that the total intensity equals 10<sup>3</sup>. All 3D structures have unique identifiers in 0..999 range. The data derived from a 3D structure preserves this unique identifier. <em>sinograms/clean</em> Tilt series of projection images obtained from the corresponding 3D structures over an angular range of -75..75 degrees with a tilt step of 10 degrees to simulate a typical tilt series used in EDX tomography. Total intensity in each projection image equals 10<sup>3</sup>. <em>sinograms/noisy</em> Tilt series of projection images corrupted with Poisson noise and an additional spatially uniform background noise. <em>projections/clean</em> Projection images extracted from the clean tilt series at 0 degrees tilt angle. <em>projections/noisy</em> Projection images extracted from the noisy tilt series at 0 degrees tilt angle. <em>images/clean</em> Visualizations of the clean projections as PNG images with the intensity range adjusted to 0..255 <em>images/noisy</em> Visualizations of the noisy projections as PNG images with the intensity range adjusted to 0..255 <strong>Data formats</strong> Voxel data, sinograms and projection images are stored in a compressed Matlab binary MAT format. Images are stores in PNG format.
DOI: 10.6084/m9.figshare.14191181.v2
title: Data used in "Tidal sandwaves promote oceanic vertical mixing and frontogenesis"

description: These datasets include turbulence and current velocity profiles, bottom-tracking depth from the shipboard ADCP collected during 24 field campaigns onboard R/V Isana, CMES, Ehime University, in 2012–2019.All data are provided as the MATLAB binary file (*.mat), in which observation time is offered in the MATLAB "datenum" format. <br>"data_yyyymmdd.mat" includes turbulence and current velocity profile data measured by a microstructure turbulence profiler, TurboMAP-5 (JFE Advantech Co.) and 300-kHz acoustic Doppler current profiler (TRDI Workhorse Sentinel):data.TKEdisrate : TKE dissipation rate [W/kg]data.temperature : Water temperature [deg.C]data.salnity : Salinity [PSU]data.density : Water density [kg/m^3]data.time : Time when microstructure cast began [days in MATLAB datenum format]data.lon : Longitude where microstructure cast began [deg. E]data.lat : Latitude where microstructure cast began [deg. N]data.stationname : Name of the observation stationsdata.z_msp : Depth of the turbulence and CTD variables [m]<br>data.u_adcp : ADCP east velocity [m/s]data.v_adcp : ADCP north velocity [m/s]data.w_adcp : ADCP up velocity [m/s]data.echo_adcp : ADCP echo amplitude [count]data.time_adcp : ADCP sampling time [days in MATLAB datenum format]data.longitude_gps : GPS longitude [deg. E]data.latitude_gps : GPS latitude [deg. N]data.H_adcp : ADCP bottom-tracking depth (4-beam average) [m]data.z_adcp : Depth of the ADCP variables [m]<br>"BTdepth_ADCP.mat" includes bottom tracking depth data collected by the shipboard ADCP of R/V <i>Isana</i>.data.H : Bottom-tracking depth [m]data.lon : Longitude of the data [deg. E]data.lat : Latitude of the data [deg. N]data.time : Sampling time of the data [days in MATLAB datenum format]<br>"M2tidecoef.mat" includes harmonic constants for M2 barotropic velocity at each observation station.This data from the numerical tide model by Guo et al. (2013):Guo, X., K. Harai, A. Kaneda, and H. Takeoka (2013), Simulation of tidal currents and nonlinear tidal interactions in the Seto Inland Sea, Japan. Rep. Res. Inst. Appl. Mech. Kyushu Univ., 145, 43–52. doi:10.15017/1526096<br>data.u_amp : Amplitude of the east velocity [m/s]data.u_phs : Greenwich phase of the east velocity [deg.]data.v_amp : Amplitude of the north velocity [m/s]data.v_phs : Greenwich phase of the north velocity [deg.]data.referencetime : Reference time for the phase (January 1, 2000 UTC)data.lon : Longitude of the data [deg. E]data.lat : Latitude of the data [deg. N]data.stationname : Name of the observation stations<br>
DOI: 10.6084/m9.figshare.14191181
title: Data used in "Tidal sandwaves promote oceanic vertical mixing and frontogenesis"

description: These datasets include turbulence and current velocity profiles, bottom-tracking depth from the shipboard ADCP collected during 24 field campaigns onboard R/V Isana, CMES, Ehime University, in 2012–2019.All data are provided as the MATLAB binary file (*.mat), in which observation time is offered in the MATLAB "datenum" format. <br>"data_yyyymmdd.mat" includes turbulence and current velocity profile data measured by a microstructure turbulence profiler, TurboMAP-5 (JFE Advantech Co.) and 300-kHz acoustic Doppler current profiler (TRDI Workhorse Sentinel):data.TKEdisrate : TKE dissipation rate [W/kg]data.temperature : Water temperature [deg.C]data.salnity : Salinity [PSU]data.density : Water density [kg/m^3]data.time : Time when microstructure cast began [days in MATLAB datenum format]data.lon : Longitude where microstructure cast began [deg. E]data.lat : Latitude where microstructure cast began [deg. N]data.stationname : Name of the observation stationsdata.z_msp : Depth of the turbulence and CTD variables [m]<br>data.u_adcp : ADCP east velocity [m/s]data.v_adcp : ADCP north velocity [m/s]data.w_adcp : ADCP up velocity [m/s]data.echo_adcp : ADCP echo amplitude [count]data.time_adcp : ADCP sampling time [days in MATLAB datenum format]data.longitude_gps : GPS longitude [deg. E]data.latitude_gps : GPS latitude [deg. N]data.H_adcp : ADCP bottom-tracking depth (4-beam average) [m]data.z_adcp : Depth of the ADCP variables [m]<br>"BTdepth_ADCP.mat" includes bottom tracking depth data collected by the shipboard ADCP of R/V <i>Isana</i>.data.H : Bottom-tracking depth [m]data.lon : Longitude of the data [deg. E]data.lat : Latitude of the data [deg. N]data.time : Sampling time of the data [days in MATLAB datenum format]<br>"M2tidecoef.mat" includes harmonic constants for M2 barotropic velocity at each observation station.This data from the numerical tide model by Guo et al. (2013):Guo, X., K. Harai, A. Kaneda, and H. Takeoka (2013), Simulation of tidal currents and nonlinear tidal interactions in the Seto Inland Sea, Japan. Rep. Res. Inst. Appl. Mech. Kyushu Univ., 145, 43–52. doi:10.15017/1526096<br>data.u_amp : Amplitude of the east velocity [m/s]data.u_phs : Greenwich phase of the east velocity [deg.]data.v_amp : Amplitude of the north velocity [m/s]data.v_phs : Greenwich phase of the north velocity [deg.]data.referencetime : Reference time for the phase (January 1, 2000 UTC)data.lon : Longitude of the data [deg. E]data.lat : Latitude of the data [deg. N]data.stationname : Name of the observation stations<br>
DOI: 10.34777/abvc-en07
title: Replay-Mobile

description: Replay-Mobile is a dataset for face recognition and presentation attack detection (anti-spoofing). The  dataset consists of 1190 video clips of photo and video presentation attacks (spoofing attacks) to 40 clients, under different lighting conditions. These videos were recorded with an iPad Mini2 (running iOS) and a LG-G4 smartphone (running Android).
DOI: 10.6084/m9.figshare.14191622
title: Data survey about the effectiveness of online learning

description: The results show that online learning is considered less effective by students in remote areas; this happens because the communication network and infrastructure do not support them to follow online learning. After conducting this research, the assumptions about the displeasure or reduced effectiveness of online learning in this area proved correct and significant.
DOI: 10.48370/ofd/p9qn58/potupo
title: DSC03171.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/p9qn58/akub0d
title: DSC03172.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/p9qn58/ye0an5
title: m-1129.jpg

description: :unav
DOI: 10.48370/ofd/p9qn58/0qkzuf
title: DSC03173.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/p9qn58/ggmc0c
title: m-1129.jpg

description: :unav
DOI: 10.48370/ofd/p9qn58/nrgxdm
title: FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_1129_2.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/p9qn58/psi3tr
title: FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_1129_1.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/p9qn58/bsnuks
title: FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_1129_3.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/p9qn58/szexi4
title: 1129_2.S3Dm

description: :unav
DOI: 10.48370/ofd/p9qn58/wzmmue
title: 1129_1.S3Dm

description: :unav
DOI: 10.48370/ofd/p9qn58
title: Gmatwica chropowata (Daedaleopsis confragosa (Bolton) J. Schrӧt.), 1129

description: Fungarium Makromycetes
DOI: 10.21227/vz7s-bb82
title: Enhanced Representative Time Periods for Transmission Expansion Planning Problems: Data for the case study

description: This document provides the data for the case study of the work “Enhanced Representative Time Periods for Transmission Expansion Planning Problems”.
DOI: 10.17632/gt394yfjtz.1
title: LINF_100019200

description: flagellar protofilament ribbon protein-like protein; Leishmania infantum
DOI: 10.17632/26tcydvxwf.1
title: LINF_100020300

description: mannosyltransferase/phosphorylase | MTP1; Leishmania infantum
DOI: 10.17632/6ggmbdkghs.1
title: wyk-Original blots for WB-SFN-NALFD

description: Original blots for WB
DOI: 10.17632/5vvmdbtcd5.5
title: MDs dataset

description: The data described here are derived from insights into binding selectivity of inhibitors toward BRD4 and CBP by using MD simulations. The analyses were performed on six systems, including the F3J-BRD4/CBP, EX1-BRD4/CBP, and E2T-BRD4/CBP complexes. There are four folder: Eigenvalue, Porcupine, MSA, and Loop. The Eigenvalue folder includes the data of the eigenvalues against eigenvector indexes obtained from the diagonalization of the covariance matrix constructed by utilizing atomic coordinates saved at MD trajectories of six complexes. The Porcupine folder shows the first six eigenvectors (fort.71-fort.76), the initialized structure of six complexes, and k.txt file. Take fort.71 as an example, the first triple of numbers determine coordinates of the Cα atoms of the residues 53-166 in BRD4 and that of the residues 1083–1196 in CBP. They defined the starting point, and the unit is Å. The second triple of numbers show the motion directions of BRD4 and CBP, and they represent the movement vectors. The MSA folder includes the data of Molecular surface area (MSA) of six systems were calculated by the CPPTRAJ module in AMBER18, each *.dat file gives the MSA of 100,000 conformations, and the number in the second column represents MSA of each conformation, and the unit is the square of Å. The Loop folder indicates the data of the distance between the Cα atoms of Leu92/Leu1120 in the ZA-loop of BRD4/CBP and that of Pro142/Lys1170 in the BC-loop of BRD4/CBP, representing the distance of the ZA-loop away from the BC-loop, each *.dat file gives the distance of 100,000 conformations, and the number in the second column represents distance of the ZA-loop away from the BC-loop in each conformation, and the unit is Å. The two frequency.xlsx files give the data of the frequency distributions of MSA and that of distance, respectively . These data are useful for understanding internal dynamics and conformations of BRD4 and CBP due to inhibitor bindings.
DOI: 10.17632/gh4c7j2v8x.1
title: LINF_100018800

description: Tumour suppressor - Mitostatin; Leishmania infantum
DOI: 10.17632/936f2h2msj.1
title: Chronic endometritis in fertility surgery

description: Objective: To assess potential association of CE diagnosed by a positive CD 138 in endometrial tissue with Fallopian tube patency and occlusion as well as with other factors for infertility including endometriosis, adenomyosis and hydrosalpinges. Design: Prospective, monocentral pilot study. Setting: Tertiary care center. Patients: A cohort of 100 infertile women, who were scheduled to undergo combined hysteroscopy with endometrial biopsy and laparoscopy with chromopertubation, were enrolled from July 2019 to December 2020.
DOI: 10.17632/t3r5twjygg.1
title: LINF_100017900

description: Eukaryotic translation initiation factor 4 gamma type 5; Leishmania infantum
DOI: 10.17632/w9jzh4m7rk.1
title: LINF_100017700

description: poly(A) polymerase; Leishmania infantum
DOI: 10.17632/7vtbtfjtg8.1
title: LINF_100017300

description: mitochondrial carrier protein | MCP19; Leishmania infantum
DOI: 10.17632/vtbksjbcmy.2
title: Field inoculation of arbuscular mycorrhizal fungi through rye donor plants in vineyards

description: This file contains data regarding grapevine performance under field conditions over two years. In the experient, rye under-vine cover crops were inoculated with Funneliformis mosseae, and the potential benefits for grapevines were analyzed in comparison to the ones derived from the establishment of non-inoculated under-vine rye cover crops, and to the ones derived from conventional herbicide-based weed control.
DOI: 10.17632/ft37z7d5cp.1
title: Mobility Data

description: This Spatio-temporal dataset is collected from 24 users over 9 months (dating 12 September 2018 to 23 May 2019). A GPS trajectory of this dataset is represented by sequential time-stamped points, each comprising of latitude, longitude, timestamps, and 33 other different sensor attributes. This dataset contains 41,51,237 trajectories with a total distance of about 3124.66 kilometres and a total duration of 389+ hours. These trajectories are recorded using AndroSensor App which is an absolute all-in-one diagnostic tool that lets user know virtually everything about their device status and allows them to record everything from their sensors into a CSV file according to their preferences. So, we let volunteers choose what attribute of themselves they want to record and share with us. This dataset recorded a broad range of users’ outdoor movements, including not only life routines like go home and go to work but also some entertainments and sports activities, such as shopping, sightseeing, dining, hiking, and cycling and also includes some fieldwork movements. This trajectory dataset can be used in many research fields, such as mobility pattern mining, user activity recognition, location-based social networks, location privacy, and location recommendation.
DOI: 10.17632/htwskf2vxd.1
title: An Experimental Investigation of Speed Choice and Information

description: This data set provides data from a new experiment, played in the computer lab, in which participants had to make the choice between travelling fast or slow from a hypothetical A to B. Participants were grouped in groups of eight. The participants’ payoff depended on the time needed to arrive at B. If they arrived at B after choosing slow, they received 1 experimental currency unit (ECU). If participants arrived at B after choosing fast, they received a higher payoff of 2 ECU. However, every participant faced the risk of having an accident that resulted in not arriving at B and therefore generating a payoff of 0 ECU. The probability to arrive for fast and slow is, respectively: P(f)=1/f(1/((-n)/m) x+f) P(s)=1/s(1/(-n) x+s) where x is the number of fast players, n the group size, f the payoff of fast, s the payoff of slow and m a factor influencing the accident risk when speeding. The main variable is "fast" which takes the value of 1 if the participant chose to travel fast, and 0 if the participant chose slow. The experiment is designed in a way which emphasizes the fact that choosing fast does not only decrease the participant’s likelihood to arrive at B, but also the likelihood of everyone else and runs over a total of 100 rounds. We compare this baseline condition with three variations: In the first variation, treatment I, we increase the underlying likelihood of having an accident in order to test the sensitivity to the accident risk in our experimental setting. In treatment II quantitative information will be provided and participants will be informed about the total number of accidents after each round. In treatment III we vary the information slightly and only present a qualitative measure of how many accidents occurred. All four conditions consisted of six groups of eight players. A consecutive questionnaire collected information on age, gender, ownership of a driver’s license, basic risk aversion and time preference. Additionally, the Big Five personality factors were captured. The STATA dataset contains labels further explaining the different variables. Ultimately, results showed that additional information had an effect on speeding choice if it contains quantitative instead of qualitative information. However, the provided quantitative information led to increased speeding behavior and a higher number of accidents. Across all treatments it was found that individual characteristics help explain differences in speeding behavior significantly
DOI: 10.17632/6z78x3fds9.1
title: The SARS-CoV-2 Subgenome Landscape and its Novel Regulatory Features. Wang et al. Source Data

description: Unprocessed data for Fig S1, Fig 4D, and Fig 5B.
DOI: 10.17632/6mc47d7hvy.1
title: CAD assembly of a fixture to achieve concentricity in an axial housing of primary air or forced draught fan

description: Axial housings for primary air or forced draught fans used in boilers in power plants have a cylindrical core and a cylindrical outer shell. Core and outer shell are fabricated with vanes in between them to guide airflow with minimum energy loss. The challenge in the fabrication is concentricity of core and outer shell. In fabrication industries, the concentricity is generally achieved manually that takes substantial amount of time. To reduce the time required to achieve concentricity, a modular design of fixture is presented here, in other words, a single fixture can be used to fabricate all designs of axial housing. The fixture assembly consists of circular plates (lower and upper), fixture plate, fixture rod, fixture pin, fixture plate inner tube, fixture plate outer tube (Refer to the attached figure). Upper circular plate has four circular grooves to accommodate four designs, if there are more designs then more circular grooves can be created in the CAD with respective diameters and thicknesses. Upper circular plate can be moved up and down with the help of screw and nut mechanism between upper circular plate and fixture rod, therefore an axial distance can be maintained between core and outer shell depending on the design requirement. To maintain radial clearance between core and outer shell of an axial housing, a translational joint is given between fixture plate inner tube and fixture plate outer tube enabling to achieve exact radial clearance. The length of these tubes can also be changed depending upon design requirements of different manufacturers of primary air and forced draught fans. Fixture plate must be welded with fixture plate outer tube. Following are the steps to achieve concentricity in an axial housing using the fixture- 1- Fix the fixture in bed. To maintain an axial distance between core and the outer shell, move upper circular plate up and down by rotating it. Use fixture pin to arrest the rotation and fix the upper circular plate. 2- Use fixture plate inner tube to maintain a radial clearance between core and outer shell by moving it radially. 3- Place the outer shell using the fixture plate inner tubes’ radial location; the inner surface of the outer shell must touch fixture plate inner tube. 4- Remove fixture plate along with fixture plate outer tube and fixture plate inner tube. 5- Place the core using one of the circular grooves whose diameter must be equal to the diameter of the core and thickness equal to the thickness of the core. After this, the usual fabrication of the axial housing can be executed. The CAD assembly (fixture_assem.SLDASM, fixture_assem.IGS) was executed in Solidworks that can be used to manufacture a fixture that will drastically reduce the cycle time of axial housings thereby increasing the productivity and effectiveness in the production shop. The CAD can also be modified to manufacture a fixture for achieving concentricity in any product having a cylindrical core and shell.
DOI: 10.17632/z9rywmv886.1
title: InletTracker - A python toolkit for monitoring coastal inlets via Landsat and Sentinel-2

description: This repository contains the entire open-source code of InletTracker as well as the key input data necessary to reproduce the results of the corresponding journal publication. InletTracker is a Google Earth Engine enabled open-source python software package that first uses a novel least-cost path finding approach to trace inlet channels along and across the berm/barrier/bar, and then analyses the resulting transects to infer whether an entrance is open or closed. Our study highlighted that InletTracker is able to consistently and accurately infer open vs. closed inlet states and can even provide an indication of the degree of inlet opening for larger inlets. The data that InletTracker can generate will help to answer a range of remaining questions around processes, dynamics, and drivers (i.e., waves vs. rainfall vs. tide) of inlets in different coastal and hydroclimatic settings around the globe.