cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23354159
title: <strong>Data on a high electrocatalytic activity of metal-WO3 nanocomposite electrocatalysts for hydrogen evolution reaction</strong>

description: The data of this article provides information on the synthesis of metal-WO3 nanocomposites used as electrocatalysts for hydrogen evolution reaction (HER). Hydrogen can be used as an energy carrier, however, it does not typically exist by itself in nature. Therefore, hydrogen must be produced from the compounds that contain it. Water splitting via renewable energy is a promising pathway to produce hydrogen [1-5]. The important thing about this pathway is developing a catalyst to enhance water-splitting efficiency and reduce the cost of hydrogen production. Currently, WO3-based material has emerged as a good candidate catalyst for the HER [6-7]. In this work, we present a method to prepare metal-WO3 materials and analyze their characterizations and electrochemical properties. Figure 1 shows a scheme of the synthesis process of metal-WO3 nanocomposites. Figure 2 describes the different colors of the reactors before and after the synthesis. Figure 3 and Figure 4 present the morphology and structure of metal-WO3 nanocomposites by SEM and TEM images. Figure 5 supplies the survey XPS spectra taken from metal-WO3 material to disclose the electronic structure of metal-WO3 nanocomposites by using the XPS spectra. Table 1 indicates the detailed values of the electrochemical performance of metal-WO3 catalysts in the acidic electrolyte during the hydrogen evolution reaction (HER) process. The metal-WO3 catalysts were prepared as can be seen in Figure 1. The change of colors of reactors as shown in Figure 2 suggests that metal-WO3 catalysts were successfully synthesized. The SEM and TEM images show that metal nanoparticles (Pd, Au, Ru, Ni, and Rh) deposited on WO3 nanosheets as can be seen in Figure 3 and Figure 4. Figure 5 is the XPS survey of the Rh-WO3 sample and other metal-WO3 samples. The deconvolution of the Rh peak attributed to metallic Rh at 531 eV and 532.4 eV, confirmed that the Rh nanoparticle was successfully on WO3 nanosheets [1]. Then the metal-WO3 catalysts were measured HER performance following the method from previous work [8]. The role of the hydrogen spillover effect on the HER activity was proved by measuring the HER performance of prepared metal-WO3 catalysts and comparing it with metal catalysts without WO3 in previous work [9-16]. As a result, metal-WO3 catalysts exhibit excellent HER activity with only 5wt% of metal deposited on WO3 nanosheets. The overpotential values of 456, 273, 141, 192, and 48 mV to obtain a current density of 10 mA.cm-2 in the acidic electrolyte for Ni-WO3, Au-WO3, Pd-WO3, Ru-WO3, and Rh-WO3; respectively. Especially, Rh-WO3 (5wt% of Rh) displayed excellent HER activity with the overpotential value of 48 mV compared with that of the commercial Pt/C (20wt% of Pt) due to the effect of hydrogen spillover on WO3 [1, 6, 7]. Therefore, the low loading of metal combined with the hydrogen spillover effect can be a promising strategy to develop HER catalysts for water splitting to produce sustainable hydrogen.
DOI: 10.34740/kaggle/dsv/5871223
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.17909/ajvk-5644
title: Mrk 841 HST/COS data (2014 and 2022)
DOI: 10.5281/zenodo.7024882
title: 179 high quality metagenome-assembled genomes sequences and annotations

description: We analyzed seven sediment samples collected adjacent to ferromanganese nodules from the Clarion–Clipperton Fracture Zone (CCFZ) in the eastern Pacific Ocean. Through deep metagenomic sequencing, assembly, and binning, we reconstructed 179 high quality metagenome-assembled genomes (MAGs). This archive contains these genomes sequences and annotations.
DOI: 10.5281/zenodo.7699702
title: 179 high quality metagenome-assembled genomes sequences and annotations

description: We analyzed seven sediment samples collected adjacent to ferromanganese nodules from the Clarion–Clipperton Fracture Zone (CCFZ) in the eastern Pacific Ocean. Through deep metagenomic sequencing, assembly, and binning, we reconstructed 179 high quality metagenome-assembled genomes (MAGs). This archive contains these genomes sequences and annotations.
description: We have re-uploaded the files after checking annotations.
DOI: 10.5281/zenodo.7763411
title: 179 high quality metagenome-assembled genomes sequences and annotations

description: We analyzed seven sediment samples collected adjacent to ferromanganese nodules from the Clarion–Clipperton Fracture Zone (CCFZ) in the eastern Pacific Ocean. Through deep metagenomic sequencing, assembly, and binning, we reconstructed 179 high quality metagenome-assembled genomes (MAGs). This archive contains these genomes sequences and annotations.
description: We have re-uploaded the files after checking annotations.
DOI: 10.6084/m9.figshare.23354228
title: attention.zip

description: attention data for "Interpreting Stress Detection Models using SHAP and Attention for the MuSe-Stress 2022 Dataset of Job Interviews"
DOI: 10.6084/m9.figshare.23354228.v1
title: attention.zip

description: attention data for "Interpreting Stress Detection Models using SHAP and Attention for the MuSe-Stress 2022 Dataset of Job Interviews"
DOI: 10.22008/fk2/gnyfuk/doogjr
title: SDL_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/hvrlrs
title: SDL_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/lmmbbq
title: SDL_month.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/zatxxx
title: NSE_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/952mff
title: SDL_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/bgpgx8
title: SDM_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/ervgun
title: SDL_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/ostgev
title: SDL_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/oty8gz
title: SDM_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/8vylb9
title: SDM_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/9swsju
title: TUN_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/ag0lei
title: SDM_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/kqmlay
title: SDM_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/sytcus
title: SDM_month.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/heit7u
title: TUN_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/hgdmcl
title: TUN_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/iltlds
title: AWS_variables.csv

description: Uploaded with pyDataverse 2023-05-01 00:26
DOI: 10.22008/fk2/gnyfuk/jyqejr
title: TUN_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:26
DOI: 10.22008/fk2/gnyfuk/q8e6ym
title: TUN_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/ygyayb
title: TUN_month.csv

description: Uploaded with pyDataverse 2023-05-01 00:25
DOI: 10.22008/fk2/gnyfuk/3p4pjy
title: AWS_station_locations.csv

description: Uploaded with pyDataverse 2023-05-01 00:26
DOI: 10.22008/fk2/gnyfuk/autlvg
title: AWS_two-boom_readme.pdf

description: Uploaded with pyDataverse 2023-05-01 00:26
DOI: 10.22008/fk2/gnyfuk/qyulam
title: AWS_changelog_two-boom.txt

description: Uploaded with pyDataverse 2023-05-01 00:26
DOI: 10.57979/osm3h8
title: UBIRIS.v1

description: UBIRIS.v1 database is composed of 1877 images collected from 241 persons during September, 2004 in two distinct sessions. Its most relevant characteristic is to incorporate images with several noise factors, simulating less constrained image acquisition environments. This enables the evaluation of the robustness of iris recognition methods. For the first image capture session, the enrollment one, we tried to minimize noise factors, specially those relative to reflections, luminosity and contrast, having installed image capture framework inside a dark room. In the second session we changed the capture place in order to introduce natural luminosity factor. This propitiates the appearance of heterogeneous images with respect to reflections, contrast, luminosity and focus problems. Images collected at this stage simulate the ones captured by a vision system without or with minimal active participation from the subjects, adding several noise problems. These images will be on the recognition stage compared to the ones collected during first session.
DOI: 10.5281/zenodo.7966488
title: Daily soil water content under different tillage techniques in Józsefmajor Experimental and Training Farm, Hungary

description: Continous soil water content monitoring of a Central European chernozem type soil under mouldboard ploughing (MP) and no-tillage (NT) treatments Measurement frequency was 10 minutes, aggragated daily mean data are presented. Sampling depths: 5-10, 15-20, 30-35, 40-45 cm <strong>Site description:</strong> Józsefmajor Experimental and Training Farm's long-term tillage experiment (Hungary, 47.688, 19.605). crop rotation, adaptable fertilization, Haplic Kastanozem (Aric, Pantoloamic, Pachic, Bathycalcic) soil type,
description: {"references": ["https://doi.org/10.1016/j.still.2021.105239"]}
DOI: 10.5281/zenodo.7966487
title: Daily soil water content under different tillage techniques in Józsefmajor Experimental and Training Farm, Hungary

description: Continous soil water content monitoring of a Central European chernozem type soil under mouldboard ploughing (MP) and no-tillage (NT) treatments Measurement frequency was 10 minutes, aggragated daily mean data are presented. Sampling depths: 5-10, 15-20, 30-35, 40-45 cm <strong>Site description:</strong> Józsefmajor Experimental and Training Farm's long-term tillage experiment (Hungary, 47.688, 19.605). crop rotation, adaptable fertilization, Haplic Kastanozem (Aric, Pantoloamic, Pachic, Bathycalcic) soil type,
description: {"references": ["https://doi.org/10.1016/j.still.2021.105239"]}
DOI: 10.26300/5703-sr51
title: National Advisory Council (NAC) Catalog of Digitized Documents
DOI: 10.6084/m9.figshare.22362907
title: The C60Plus and C60Plus-E database

description: Millions of C60Xm(X=Cl, H, F, Br, OH, CH3, CF3) structures have been screened by AutoSteper. Results are refined at B3LYP/6-31G(d) level. Structures of synthesis-friendly isomers and their photovoltaic properties are grouped into the `structure` and `photovoltaic` folders, which denote the C60Plus and C60Plus-E database respectively. Details see README.md.
DOI: 10.6084/m9.figshare.22362907.v2
title: The C60Plus and C60Plus-E database

description: Millions of C60Xm(X=Cl, H, F, Br, OH, CH3, CF3) structures have been screened by AutoSteper. Results are refined at B3LYP/6-31G(d) level. Structures of synthesis-friendly isomers and their photovoltaic properties are grouped into the `structure` and `photovoltaic` folders, which denote the C60Plus and C60Plus-E database respectively. Details see README.md.
DOI: 10.6084/m9.figshare.22362907.v1
title: The C60Plus database

description: Millions of C60Xm(X=Cl, H, F, Br, OH, CH3, CF3) structures have been screened by AutoSteper. Results are refined at B3LYP/6-31G(d) level. Structures of synthesis-friendly isomers and their photovoltaic properties are grouped into the `structure` and `photovoltaic` database. Details see README.md.
DOI: 10.6084/m9.figshare.21731288
title: Evidence for flexible navigation strategies during spatial learning involving path choices

description: In a classic study in 1946, Tolman et al. found that rodents chose the optimal path to a hidden goal location when given the option to take a shortcut. Subsequent studies, though, found mixed results, including a previous study in humans showing non-optimal response strategies. Here, we tested human participants in a virtual sunburst maze identical to that employed by Tolman. Across three different experiments, we found that participants consistently employed non-optimal response strategies involving either following the encoded route or using the light as a beacon cue. Adding distal boundary cues (Experiment 2) or enhancing idiothetic cues (Experiment 3) led to the same overall results. Our findings suggest participants’ search strategies are often suboptimal when given the opportunity to spontaneously take a short cut.
DOI: 10.6084/m9.figshare.21731288.v1
title: Evidence for flexible navigation strategies during spatial learning involving path choices

description: In a classic study in 1946, Tolman et al. found that rodents chose the optimal path to a hidden goal location when given the option to take a shortcut. Subsequent studies, though, found mixed results, including a previous study in humans showing non-optimal response strategies. Here, we tested human participants in a virtual sunburst maze identical to that employed by Tolman. Across three different experiments, we found that participants consistently employed non-optimal response strategies involving either following the encoded route or using the light as a beacon cue. Adding distal boundary cues (Experiment 2) or enhancing idiothetic cues (Experiment 3) led to the same overall results. Our findings suggest participants’ search strategies are often suboptimal when given the opportunity to spontaneously take a short cut.
DOI: 10.24379/rcm.00002326
title: Songs from Home dataset

description: This dataset contains the main outcome measures for the Songs from Home study, a two-armed non-blinded randomised controlled trial (RCT, ISRCTN17647261) that examined whether online songwriting intervention could significantly reduce loneliness and symptoms of PND and enhance social connectedness in the perinatal period.
DOI: 10.5517/ccdc.csd.cc2c7h15
title: CCDC 2181936: Experimental Crystal Structure Determination

description: Related Article: Riham Sghyar, S.M. Basavarajaiah, Alae Chda, Oussama Moussaoui, El Mestafa ElHadrami, Abdeslem Ben-Tama, Lotfi Aarab, Joel T. Mague, K. Prashantha, Mohammad Javeed, Nada Kheira Sebbar, El Mokhtar Essassi|2023|J.Mol.Struct.|1287|135695|doi:10.1016/j.molstruc.2023.135695
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.cc2c93ng
title: CCDC 2183505: Experimental Crystal Structure Determination

description: Related Article: Yi Liu, Wei Gao, Sitian Yuan, Mengjia Ni, Tianxin Hao, Cuiying Zeng, Xinyi Xu, Yang Fu, Yiyuan Peng, Qiuping Ding|2023|Org.Biomol.Chem.|21|4257|doi:10.1039/D3OB00220A
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: 10.6084/m9.figshare.23143622
title: Supplementary Material for: Development and validation of a prediction model for 30-day mortality and functional outcome in patients with primary brainstem hemorrhage.

description: Introduction: Primary brainstem hemorrhage (PBSH) is the most fatal subtype of intracerebral hemorrhage and associated with poor prognosis. We aimed to develop a prediction model for predicting 30-day mortality and functional outcome in patients with PBSH. Methods: We reviewed records of 642 consecutive patients with first-time PBSH from three hospitals between 2016 and 2021. Multivariate logistic regression was used to establish a nomogram in a training cohort. Cutoff points of the variables were determined by receiver operating characteristic curve analysis, and certain points were assigned to these predictors to produce the PBSH score. The nomogram and PBSH score were compared with other scoring systems of PBSH. Results: Five independent predictors, comprised of temperature, pupillary light reflex, platelet-to-lymphocyte ratio (PLR), Glasgow Coma Scale (GCS) score on admission, and hematoma volume, were incorporated to construct the nomogram. The PBSH score consisted of 4 independent factors with individual points assigned as follows: temperature, ≥38℃(=1 point), &lt;38℃(=0 points); pupillary light reflex, absence (=1 point), presence (=0 points); GCS score 3 to 4 (=2 points), 5 to 11 (=1 point), and 12 to 15 (=0 points); PBSH volume &gt;10 mL (=2 points), 5 to 10 mL (=1 point), and &lt;5 mL (=0 points). Results showed that the nomogram was discriminative in predicting both 30-day mortality [AUC of 0.924 in the training cohort, and 0.931 in the validation cohort] and 30-day functional outcome [AUC of 0.887]. The PBSH score was discriminative in predicting both 30-day mortality [AUC of 0.923 in the training cohort, and 0.923 in the validation cohort] and 30-day functional outcome [AUC of 0.887]. The prediction performances of the nomogram and the PBSH score were superior to the intracranial hemorrhage (ICH) score, primary pontine hemorrhage (PPH) score, and new PPH score. Conclusions: We developed and validated two prediction models for 30-day mortality and functional outcome in patients with PBSH. The nomogram and PBSH score could predict 30-day mortality and functional outcome in PBSH patients.
DOI: 10.6084/m9.figshare.23142182
title: SH3 and 3-helix bundles Molecular dynamics trajectories

description: Molecular dynamics trajectories calculated while researching structural motifs stability of 3-Helix bundles and SH3-barrels as small proteins and cut from proteins. <br> Presented files contain shortened trajectories (10 frames per 1ns of <br> Manuscript is under review at the moment
DOI: 10.6084/m9.figshare.23142182.v1
title: SH3 and 3-helix bundles Molecular dynamics trajectories

description: Molecular dynamics trajectories calculated while researching structural motifs stability of 3-Helix bundles and SH3-barrels as small proteins and cut from proteins. <br> Presented files contain shortened trajectories (10 frames per 1ns of <br> Manuscript is under review at the moment
DOI: 10.6084/m9.figshare.23118779
title: Procambarus clarkii-2.zip

description: <strong>Comparison of red swamp crayfish genetic diversity and population structure between northern and southern China</strong>
DOI: 10.6084/m9.figshare.23118779.v1
title: Procambarus clarkii-2.zip

description: <strong>Comparison of red swamp crayfish genetic diversity and population structure between northern and southern China</strong>
DOI: 10.5281/zenodo.7965402
title: Training data and test data sets for simultaneous inversion of velocity density based on U-T

description: Here are the training and testing data sets involved in the numerical experiments in the article that has been submitted to the journal “Journal of Geophysical Research: Solid Earth”, named “Joint Model and Data-Driven Simultaneous Inversion of Velocity and Density”: Marmousi model. Each dataset consists of two parts: a training dataset and a testing dataset. Both training and testing data sets contain three parts: seismic data, velocity model and density model.
DOI: 10.5281/zenodo.7965401
title: Training data and test data sets for simultaneous inversion of velocity density based on U-T

description: Here are the training and testing data sets involved in the numerical experiments in the article that has been submitted to the journal “Journal of Geophysical Research: Solid Earth”, named “Joint Model and Data-Driven Simultaneous Inversion of Velocity and Density”: Marmousi model. Each dataset consists of two parts: a training dataset and a testing dataset. Both training and testing data sets contain three parts: seismic data, velocity model and density model.
DOI: 10.5281/zenodo.7885363
title: Psychoacoustic indicators of pass-by road traffic noise

description: This dataset contains files related to a measurement campaign of pass-by road traffic noise using the Statistical Pass-By (SPB) method according to ISO 11819-1 (2023) on road surfaces in hot mix asphalt. The compressed folder "Audio files, timestamps and calibration file" is divided into subfolders per measurement day, named according to the measurement date and location. Each subfolder contains continuous recordings as .wav audio files and Excel files with timestamps at 2 seconds before (t0) and 2 s after (tf) the moment a vehicle passage produced the peak noise level in that audio file, besides the air temperature (Tair) and vehicle category (Category). The pass-bys are classified into four categories (Passenger cars, Vans, Dual-axle heavy vehicle - HD and Multiple-axle heavy vehicle - HM). The file "Calibration file 1Hz 113.7 dB.wav" is a pure-tone 113.7 dB calibration file recorded from the sound level meter and microphone used in the measurements. The Excel file "Psychoacoustic indicators of pass-by road traffic noise.xlsx" presents nine acoustic and psychoacoustic indicators calculated from the 4s audio excerpts of 2199 pass-by vehicle noise obtained from this measurement campaign. Calculations were conducted using the algorithms implemented on PsySound3. The columns in this Excel file mean the following: L<sub>A,max</sub>: average maximum A-weighted sound level, in dB ΔL: the difference between the peak L<sub>A,max </sub>and the L<sub>A,max</sub> at 2 s before the peak was reached, in dB L<sub>A,eq</sub>: A-weighted equivalent continuous sound level, in dB L10: 10% percentile statistical noise level, in dB L90: 90% percentile statistical noise level, in dB N50: 50% percentile loudness, in sone S50: 50% percentile sharpness, in acum R50: 50% percentile roughness, in asper FS50: 50% percentile fluctuation strength, in vacil
DOI: 10.5281/zenodo.7885364
title: Psychoacoustic indicators of pass-by road traffic noise

description: This dataset contains nine acoustic and psychoacoustic indicators calculated from 4s audio excerpts of 2199 pass-by vehicle noise of four categories (Passenger cars, Vans, Dual-axle heavy vehicle - HD and Multiple-axle heavy vehicle - HM), besides the air temperatures and speed registered during each passage. The calculations were conducted using the algorithms implemented on PsySound3. These records were obtained by following the Statistical Pass-By (SPB) method as per ISO 11819-1 (2023) on road surfaces in dense asphalt concrete. L<sub>A,max</sub>: average maximum A-weighted sound level, in dB ΔL: the difference between the peak L<sub>A,max </sub>and the L<sub>A,max</sub> at 2 s before the peak was reached, in dB L<sub>A,eq</sub>: A-weighted equivalent continuous sound level, in dB L10: 10% percentile statistical noise level, in dB L90: 90% percentile statistical noise level, in dB N50: 50% percentile loudness, in sone S50: 50% percentile sharpness, in acum R50: 50% percentile roughness, in asper FS50: 50% percentile fluctuation strength, in vacil