cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v3ys96h6jc.2
title: Mutual assessment of acoustic, pyrometric and thermographic laser powder bed fusion monitoring

description: This repository contains the processed data of  LPBF process monitoring using a Mircophone, a Pyrometer and a Thermography Camera to monitor a process with deliberate deviations from ideal conditions.
DOI: 10.17632/hw9nznd89h.1
title: LINF_300014400

description: adenosine kinase
Leishmania infantum (strain JPCM5)
DOI: 10.21227/4a34-d051
title: CSI DataSET

description: Four activities CSI Data Set
DOI: 10.5281/zenodo.6840177
title: Tetradonia laticeps decontaminated gx

description: .
DOI: 10.5281/zenodo.6840176
title: Tetradonia laticeps decontaminated gx

description: .
DOI: 10.5281/zenodo.6840148
title: Análise de contidos de xornalismo de datos e xornalismo social en elDiario.es e The Guardian

description: Fichas de datos utilizadas no estudo. Folla 1: Análise das noticias das portadas de <em>elDiario.es</em> Folla 2: Análise das noticias das portadas de <em>The Guardian</em> Folla 3: Análise das noticias da sección <em>Data </em>de <em>The Guardian</em> Folla 4: Análise das noticias de xornalismo de datos de ambos medios
DOI: 10.5281/zenodo.6840147
title: Análise de contidos de xornalismo de datos e xornalismo social en elDiario.es e The Guardian

description: Fichas de datos utilizadas no estudo. Folla 1: Análise das noticias das portadas de <em>elDiario.es</em> Folla 2: Análise das noticias das portadas de <em>The Guardian</em> Folla 3: Análise das noticias da sección <em>Data </em>de <em>The Guardian</em> Folla 4: Análise das noticias de xornalismo de datos de ambos medios
DOI: 10.17632/v82kz356ym.1
title: LINF_300014300

description: amastin-like surface protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/vr2brd5wt6.1
title: An automatic urodynamic diagnostic system for the diagnosis of Lower Urinary Tract Symptoms

description: Objectives: To establish a machine learning based diagnostic system for automatic detection of lower urinary tract symptoms (LUTS) using pressure-flow studies’ data.
Methods: The six most common diagnoses of LUTS were included in the present study. A number of 527 eligible patients with complete data, from the year of 2015 to 2020, were enrolled in this study. Totally, two global features (patient age and gender) and 13 urodynamic features were considered to be the input for machine learning algorithms.
DOI: 10.17632/8cfsrmd8by.1
title: Identification of a guanine-specific pocket in the protein N of SARS-CoV-2

description: Raw data for graphs
Gel images
DOI: 10.17632/pgscbgy2v3.1
title: Feng, J., T. Lian, and D. Chen. SST bias in tropical Indian Ocean in CMIP6 CGCM is mainly due to surface wind bias in AGCM. Journal of Climate, submitted.

description: This repository contains processed data for the manuscript entitled "SST bias in tropical Indian Ocean in CMIP6 CGCM is mainly due to surface wind bias in AGCM", including a series of model experiments.
DOI: 10.5281/zenodo.6840116
title: Exoplanet imaging data challenge, phase 2

description: <strong>Datasets for the second phase of the Exoplanet Imaging Data Challenge</strong> (https://exoplanet-imaging-challenge.github.io). The second phase of the Exoplanet Imaging Data Challenge is focused on the characterisation of exoplanet signals in high-contrast imaging data. The participants must perform two tasks: provide (1) astrometry of the detected signals, and (2) spectrophotometry of the detected signals. For this phase, we therefore provide with <strong>8</strong> high-contrast data sets, taken with two integral field spectrographs: SPHERE-IFS installed at the Very Large Telescope (VLT, Chile) and GPI installed at the Gemini-South telescope (Chile). Each data set consists of the following files (in <em>.fits</em> format): (a) <em>image_cube_instxx.fits</em>: the coronagraphic multispectral image cube, acquired in pupil-stabilized mode;<br> (b) <em>parallactic_angles_instxx.fits</em>: the corresponding parallactic angle and airmass variation during the observation sequence;<br> (c) <em>wavelength_vect_instxx.fits</em>: the corresponding wavelength vector for each spectral channel;<br> (d) <em>psf_cube_instxx.fits</em>: the non-coronagraphic (point spread function) multispectral image of the target star;<br> (e) <em>first_guess_astrometry_instxx.fits</em>: a first guess position w.r.t the star of the (2 or 3) injected planetary signals. Each data set has 2 to 3 injected planetary signals in various locations.<br> Each data set has very different observing conditions, from very good to very bad. <em>Additional information and ressources can be found on the website and dedicated Github repository.</em> <em>The results of the data challenge must be submitted directly by participants on the EvalAI platform.</em>
description: On 15th of July 2022: we modified the coronagraphic image cube of the 'sphere2' data set because the low wind effect was not treated correctly.
DOI: 10.5281/zenodo.6840361
title: GIRE

description: The Greek Inscriptions of the Roman Empire (GIRE) dataset is based on the GIST dataset (https://zenodo.org/record/6827729) created by Social Dynamics in the Ancient Mediterranean project in 2022. The dataset consists of a subset of inscriptions which (a) are geocoded, (b) are located within the borders of the Roman Empire in its highest extent in 117 CE, (c) include numerical temporal information (typically a dating interval), (d) their dating interval intersects the period from 50 BCE to 350 CE. In version 0.2, the dataset consists of 52,542 records distributed across 29 attributes (+ GIRE_ID attribute). The attributes include references to other epigraphic databases, such as Trismegistos, EDCS, EDH etc. The scripts used to generate the dataset and its metadata are available via GitHub repository https://github.com/sdam-au/GI_ETL. <br> The dataset is available as Geojson and Parquet file, both containing geocoded spatial data, but differing significantly in size.
DOI: 10.5517/ccdc.csd.cc27f4lf
title: CCDC 2068214: Experimental Crystal Structure Determination

description: Related Article: Aaron D. Nicholas, Leah C. Garman, Nicolina Albano, Christopher L. Cahill|2022|Phys.Chem.Chem.Phys.(PCCP)|24|15305|doi:10.1039/D2CP01996E
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: 10.5281/zenodo.6832432
title: GIRE

description: The Greek Inscriptions of the Roman Empire (GIRE) dataset is based on the GIST dataset (https://zenodo.org/record/6827729) created by Social Dynamics in the Ancient Mediterranean project in 2022. The dataset consists of a subset of inscriptions which (a) are geocoded, (b) are located within the borders of the Roman Empire in its highest extent in 117 CE, (c) include numerical temporal information (typically a dating interval), (d) their dating interval intersects the period from 50 BCE to 350 CE. In version 0.2, the dataset consists of 52,542 records distributed across 29 attributes (+ GIRE_ID attribute). The attributes include references to other epigraphic databases, such as Trismegistos, EDCS, EDH etc. The scripts used to generate the dataset and its metadata are available via GitHub repository https://github.com/sdam-au/GI_ETL. <br> The dataset is available as Geojson and Parquet file, both containing geocoded spatial data, but differing significantly in size.
DOI: 10.5517/ccdc.csd.cc27f4rl
title: CCDC 2068219: Experimental Crystal Structure Determination

description: Related Article: Aaron D. Nicholas, Leah C. Garman, Nicolina Albano, Christopher L. Cahill|2022|Phys.Chem.Chem.Phys.(PCCP)|24|15305|doi:10.1039/D2CP01996E
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: 10.5517/ccdc.csd.cc29z5dw
title: CCDC 2144158: Experimental Crystal Structure Determination

description: Related Article: Yi-Kuan Chen, Jayachandran Jayakumar, Chang-Lun Ko, Wen-Yi Hung, Tien-Lin Wu, Chien-Hong Cheng|2022|J.Mater.Chem.C|10|9241|doi:10.1039/D2TC01435A
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: 10.5517/ccdc.csd.cc29z5fx
title: CCDC 2144159: Experimental Crystal Structure Determination

description: Related Article: Yi-Kuan Chen, Jayachandran Jayakumar, Chang-Lun Ko, Wen-Yi Hung, Tien-Lin Wu, Chien-Hong Cheng|2022|J.Mater.Chem.C|10|9241|doi:10.1039/D2TC01435A
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: 10.5517/ccdc.csd.cc2bst0z
title: CCDC 2168791: Experimental Crystal Structure Determination

description: Related Article: Ivana Borilovic, Olivier Roubeau, Boris Le Guennic, Joris van Slageren, Samuel Lenz, Simon J. Teat, Guillem Aromí|2022|Chem.Commun.|58|7530|doi:10.1039/D2CC02495K
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: 10.5517/ccdc.csd.cc2bst10
title: CCDC 2168792: Experimental Crystal Structure Determination

description: Related Article: Ivana Borilovic, Olivier Roubeau, Boris Le Guennic, Joris van Slageren, Samuel Lenz, Simon J. Teat, Guillem Aromí|2022|Chem.Commun.|58|7530|doi:10.1039/D2CC02495K
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: 10.34740/kaggle/dsv/3946820
title: Asriran News
DOI: 10.5281/zenodo.6840348
title: Ciconia ciconia decontaminated gx

description: .
DOI: 10.5281/zenodo.6840347
title: Ciconia ciconia decontaminated gx

description: .
DOI: 10.6084/m9.figshare.19782628
title: repository CLC training data May 2022.xlsx

description: Dataset for the the manuscript Advancing Cultural and Linguistic Competency through Graduate Medical Education Trainings, by Maria Mercedes Avila and Thomas V. Delaney.
DOI: 10.6084/m9.figshare.19782628.v1
title: repository CLC training data May 2022.xlsx

description: Dataset for the the manuscript Advancing Cultural and Linguistic Competency through Graduate Medical Education Trainings, by Maria Mercedes Avila and Thomas V. Delaney.
DOI: 10.5281/zenodo.6839968
title: Supplemental material for "Enhanced collisionless laser absorption in strongly magnetized plasmas"

description: This dataset constitutes supplemental material for the paper titled "Enhanced collisionless laser absorption in strongly magnetized plasmas" by Lili Manzo, Matthew R. Edwards, and Yuan Shi. • figure_data.zip<br> When unzipped, this folder contains subfolders fig1, fig2, …, fig10, each contains data used to generate figures 1,2, …,10 in the paper. The data files are in .txt, .mat, or .dat format, and are intended to be read by MATLAB. The data underlying fig1 and fig3 are generated using the Three-Wave-MATLAB code (https://gitlab.com/seanYuanSHI/three-wave-matlab). The data underlying fig2, fig4, and figs5-10 are raw simulation data or post-processed results of the epoch1d code (https://github.com/Warwick-Plasma/epoch).<br> <br> • figure_programs.zip<br> When unzipped, this folder contains plot_fig1.m, plot_fig2.m, …, plot_fig10.m, which are MATLAB scripts used to plot the corresponding data. Except for plot_fig2.m, which requires MATLAB version 2018 or later, all other scripts can run on MATLAB 2013 or later. The scripts plot the data but does not reproduce the formatting of the figures as shown in the paper. • input.deck<br> This is an example input for the epoch1d code (version 4.17.10) used to generate simulation data in the paper.
description: Reviewed and released under LLNL-MI-837379. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344 and was supported by the LDRD program under tracking numbers 20-ERD-057 and 19-ERD-038.
description: {"references": ["https://arxiv.org/abs/2205.13478"]}
DOI: 10.5281/zenodo.6839967
title: Supplemental material for "Enhanced collisionless laser absorption in strongly magnetized plasmas"

description: This dataset constitutes supplemental material for the paper titled "Enhanced collisionless laser absorption in strongly magnetized plasmas" by Lili Manzo, Matthew R. Edwards, and Yuan Shi. • figure_data.zip<br> When unzipped, this folder contains subfolders fig1, fig2, …, fig10, each contains data used to generate figures 1,2, …,10 in the paper. The data files are in .txt, .mat, or .dat format, and are intended to be read by MATLAB. The data underlying fig1 and fig3 are generated using the Three-Wave-MATLAB code (https://gitlab.com/seanYuanSHI/three-wave-matlab). The data underlying fig2, fig4, and figs5-10 are raw simulation data or post-processed results of the epoch1d code (https://github.com/Warwick-Plasma/epoch).<br> <br> • figure_programs.zip<br> When unzipped, this folder contains plot_fig1.m, plot_fig2.m, …, plot_fig10.m, which are MATLAB scripts used to plot the corresponding data. Except for plot_fig2.m, which requires MATLAB version 2018 or later, all other scripts can run on MATLAB 2013 or later. The scripts plot the data but does not reproduce the formatting of the figures as shown in the paper. • input.deck<br> This is an example input for the epoch1d code (version 4.17.10) used to generate simulation data in the paper.
description: Reviewed and released under LLNL-MI-837379. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344 and was supported by the LDRD program under tracking numbers 20-ERD-057 and 19-ERD-038.
description: {"references": ["https://arxiv.org/abs/2205.13478"]}
DOI: 10.17632/dkb4knw455.2
title: Faecal prevalence, distribution and risk factors associated with canine soil-transmitted helminths contaminating urban parks across Australia

description: Gastrointestinal parasites of dogs found in parks in Australia based on centrifugal faecal floatation and qPCRs. A total of 1581 faecal samples from 190 dog parks were analyzed.
DOI: 10.17632/5tbvyr4gh5.1
title: LINF_300014200

description: surface protein amastin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/k89kbnx8f5.1
title: Intelligent robot-assisted minimally invasive reduction system for reduction of unstable pelvic fractures

description: Source images and tables for the article entitled "Intelligent robot-assisted minimally invasive reduction system for reduction of unstable pelvic fracturest" by Chunpeng Zhao，Qiyong Cao, Xu Sun, Xinbao Wu, Gang Zhu,Yu Wang.

Figure 1: A. Core structure of robot system which consists of pelvic fracture reduction software, optical tracking device and reduction robot (UR16e); B.Auxiliary structure of the Robot which consists of two holding equipment through a designed U-shaped device and an elastic traction device
Figure 2. A. Preoperative CT reconstruction model; B. Preoperative path planning of reduction planning; C. Final target position of path planning
Figure 3 A.The spatial location of the robot system in the operating room.B. The U-shaped base of the two holding arms was connected to the healthy side of the operating bed
Figure 4. After image registration, the position of the pelvic can be tracked in real-time and displayed on the screen.
Figure 5. two Schantz pins are placed in the widest part of the iliac wing (the gluteal tuberosity position) and the anterior inferior iliac spine above the acetabular dome (the position of the LC2 screw). In the affected half pelvis, a third Schantz pin was inserted horizontally above the top of the acetabulum
Figure 6 Typical case presentation. A. Preoperative X-ray of unstable pelvic fracture using three standard pelvic radiographic views: anteroposterior, inlet, and outlet views.B. Preoperative path planning of reduction planning.C. The sacroiliac screw guide pin is inserted from the posterior ring of the pelvis on the unaffected side in advance. When the reduction is completed, guide pin can directly penetrate the sacroiliac joint of the affected side, which can assist the temporary fixation of the posterior ring, and can also penetrate the guide pin through the skin of the affected side pelvis to guide the sacroiliac screw fixation of posterior ring. D. All Schantz pins were stably fixed with the end of the mechanical passive arm. E. The bone traction was connected with elastic traction devices. F. After completing image registration, pelvic holding and elastic traction, the position of the pelvic fracture was directly displayed in the monitor. 
Figure 7. Typical case presentation. A. The reduction processes are completed under the supervision of 3D real-time navigation. B. The skin incisions. C. Postoperative plain radiograph using three standard pelvic radiographic views: anteroposterior, inlet, and outlet views. D. Postoperative CT 3D reconstruction images. E. Postoperative CT coronal and axial scans.
DOI: 10.17632/9py2b8m6cv.3
title: STREAMING-tag system: Technology to enable visualization of transcriptional activity and subnuclear localization of specific endogenous genes

description: The representative image data, ImageJ macro, Python code files used in the chapter.
DOI: 10.6084/m9.figshare.13180176
title: Particle detection using the dual-vaporizer configuration of the soot particle Aerosol Mass Spectrometer (SP-AMS)

description: The Aerodyne Soot Particle Aerosol Mass Spectrometer (SP-AMS) can operate with one or both of two particle vaporizers: (1) the standard resistively heated tungsten vaporizer (TV) for detection of non-refractory particulate matter (NR-PM), and (2) an intracavity laser vaporizer (LV) for detection of absorbing, refractory materials, including refractory black carbon (rBC), metal nanoparticles, and associated coatings. In addition to using these vaporizers individually, both can be used simultaneously (dual vaporizer, DV, mode), commonly implemented by sequentially turning the laser vaporizer on (DV-Lon) and off (DV-Loff). Recent results in DV mode have shown an apparent enhancement in measured NR-PM signal during DV-Lon compared with DV-Loff, even for inorganic species unlikely to be strongly associated with rBC. The use of dual vaporizers is complicated by different collection efficiencies (CE) of the two vaporizers, potential differences in the relative ionization efficiencies (RIE) for the same species vaporized from the two vaporizers, and potential interference between the two vaporizers due to laser heating of AMS internal components. Here, we investigated the effect of the laser-heating interference on NR-PM signal. We tested a variety of laser baffles to minimize laser-heating interferences and to constrain the alignment of the laser vaporizer and we identified a baffle that meets these criteria and can be incorporated into SP-AMS systems. For well aligned standard and laser vaporizers, laser heating was found to have only a minor effect on the NR-PM ion signals. Most of the observed increases in NR-PM signals during DV-Lon are attributed to vaporizer-specific differences in the CE and RIE values of NR-PM associated with the rBC-containing particles. Copyright © 2020 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.13180176.v2
title: Particle detection using the dual-vaporizer configuration of the soot particle Aerosol Mass Spectrometer (SP-AMS)

description: The Aerodyne Soot Particle Aerosol Mass Spectrometer (SP-AMS) can operate with one or both of two particle vaporizers: (1) the standard resistively heated tungsten vaporizer (TV) for detection of non-refractory particulate matter (NR-PM), and (2) an intracavity laser vaporizer (LV) for detection of absorbing, refractory materials, including refractory black carbon (rBC), metal nanoparticles, and associated coatings. In addition to using these vaporizers individually, both can be used simultaneously (dual vaporizer, DV, mode), commonly implemented by sequentially turning the laser vaporizer on (DV-Lon) and off (DV-Loff). Recent results in DV mode have shown an apparent enhancement in measured NR-PM signal during DV-Lon compared with DV-Loff, even for inorganic species unlikely to be strongly associated with rBC. The use of dual vaporizers is complicated by different collection efficiencies (CE) of the two vaporizers, potential differences in the relative ionization efficiencies (RIE) for the same species vaporized from the two vaporizers, and potential interference between the two vaporizers due to laser heating of AMS internal components. Here, we investigated the effect of the laser-heating interference on NR-PM signal. We tested a variety of laser baffles to minimize laser-heating interferences and to constrain the alignment of the laser vaporizer and we identified a baffle that meets these criteria and can be incorporated into SP-AMS systems. For well aligned standard and laser vaporizers, laser heating was found to have only a minor effect on the NR-PM ion signals. Most of the observed increases in NR-PM signals during DV-Lon are attributed to vaporizer-specific differences in the CE and RIE values of NR-PM associated with the rBC-containing particles. Copyright © 2020 American Association for Aerosol Research