cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24464200
title: Figure 1_Supplementary Table 1_Enrollment by device type(JMP)

description: The dataset for the article "The current utilization status of wearable devices in clinical research".Analyses were performed by utilizing the JMP Pro 16.10.The file extension "jrp" is a file of the statistical analysis software JMP, which contains both the analysis code and the data set.In case JMP is not available, a "csv" file as a data set and JMP script, the analysis code, are prepared in "rtf" format.JMP repot files used to create the figure（Figure 1 ）and table (Supplementary Table 1) ,including the csv dataset of JMP repot files and JMP scripts.Figure 1 The results of mean of enrollment comparison by typeSupplementary Table 1. The results of mean of enrollment comparison based on the type of deviceEnrollment by type.jrpAnalysis by Model dataset.csvEnrollment by type.rtfApple WatchApple Watch
DOI: 10.5281/zenodo.10820602
title: CRISPS coding scheme for complex casual leisure search requests  — Auxiliary materials

description: This repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme.

This repository contains the following auxiliary materials:



The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf)

The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf)

The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv)

All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv)

The appendix belonging to the article
DOI: 10.5281/zenodo.10809089
title: CRISPS coding scheme for complex casual leisure search requests  — Auxiliary materials

description: This repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme.

This repository contains the following auxiliary materials:



The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (codebook.pdf)

The CRISPS coding scheme figures from the article in a single PDF file (coding-scheme.pdf)

The CRISPS coding scheme from the article in a machine-readable TSV-format (coding-scheme.tsv)

All 2000 posts along with their assigned CRISPS codes in TSV-format (all-posts.tsv)

The appendix belonging to the article
DOI: 10.5281/zenodo.6814288
title: CRISPS coding scheme for complex casual leisure search requests — Auxiliary materials

description: This repository contains auxiliary materials related to the CRISPS coding scheme for complex casual leisure search requests. The CRISPS coding scheme is described in the article "Understanding Complex Casual Leisure Information Needs: An Analysis of Search Requests for Books, Games, Movies and Music" by Toine Bogers (= corresponding author), Maria Gäde, Marijn Koolen, Vivien Petras, and Mette Skov. The article provides a comprehensive analysis of complex search requests in the casual leisure domains of books, games, movies and music using the CRISPS coding scheme. This repository contains the following auxiliary materials: The CRISPS codebooks for all four domains along with examples for each code and a comparison between the four domains (<strong>codebook.pdf</strong>) The CRISPS coding scheme figures from the article in a single PDF file (<strong>coding-scheme.pdf</strong>) The CRISPS coding scheme from the article in a machine-readable TSV-format (<strong>coding-scheme.tsv</strong>) All 2000 posts along with their assigned CRISPS codes in TSV-format (<strong>all-posts.tsv</strong>)
DOI: 10.5281/zenodo.10820367
title: In silico database of ~500 000 virtual patients with diverse cardiovascular disease

description: The presented dataset contains a large virtual cohort of more than 50'000 heart failure patients characterized by realistic traces of volumes, pressures, flows, and regional mechanics. We used the well-established CircAdapt model (https://www.circadapt.org/ ,  http://framework.circadapt.org/) of the human heart and circulation to simulate a large cohort of virtual patients, covering a wide range of HF-related disease heterogeneity and severity. In the construction of virtual patients, generating a variety of parameter sets for the initial population is essential and can be accomplished using various sampling techniques. In our investigation, we utilized the Sobol-low discrepancy sequence to ensure uniformity across the high-dimensional parameter space. For a more detailed explanation please refer to the document "MARCIUS_deliverable_D1.5_VirtualDatabase.pdf"

Acknowledgments: This work was supported by the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie grant agreement No. 86074, "MARCIUS - MARie Curie Intelligent UltraSound"(https://www.marcius-project.com/). MARCIUS rationale was to develop a comprehensive in silico simulation platform comprising both the generation of virtual patients (presented dataset) and their associated realistic image data. Such approach would make it possible to learn the most relevant patterns within a wide representative set of patients to lead the training of ML-based image processing algorithms in order to analyze real-world clinical data.
DOI: 10.5281/zenodo.10820368
title: In silico database of ~500 000 virtual patients with diverse cardiovascular disease

description: The presented dataset contains a large virtual cohort of more than 50'000 heart failure patients characterized by realistic traces of volumes, pressures, flows, and regional mechanics. We used the well-established CircAdapt model (https://www.circadapt.org/ ,  http://framework.circadapt.org/) of the human heart and circulation to simulate a large cohort of virtual patients, covering a wide range of HF-related disease heterogeneity and severity. In the construction of virtual patients, generating a variety of parameter sets for the initial population is essential and can be accomplished using various sampling techniques. In our investigation, we utilized the Sobol-low discrepancy sequence to ensure uniformity across the high-dimensional parameter space. For a more detailed explanation please refer to the document "MARCIUS_deliverable_D1.5_VirtualDatabase.pdf"

Acknowledgments: This work was supported by the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie grant agreement No. 86074, "MARCIUS - MARie Curie Intelligent UltraSound"(https://www.marcius-project.com/). MARCIUS rationale was to develop a comprehensive in silico simulation platform comprising both the generation of virtual patients (presented dataset) and their associated realistic image data. Such approach would make it possible to learn the most relevant patterns within a wide representative set of patients to lead the training of ML-based image processing algorithms in order to analyze real-world clinical data.
DOI: 10.5281/zenodo.10215642
title: Flow Measurement Dataset: Kármán Vortex Street Measured by Pressure-Sensitive Paint Technique

description: This dataset is a pressure distribution induced by a Kármán vortex street behind a square cylinder measured by the pressure-sensitive paint (PSP) technique. This data was obtained at the small low-turbulence wind tunnel at the Institute of Fluid Science, Tohoku University. A mean velocity was set to 50 m/s. The width, length, and height of the square cylinder were 40 mm, 40 mm, and 100 mm, respectively. Then, the Reynolds number based on the width of the square cylinder was 1.1×10^5⁠.
DOI: 10.5281/zenodo.10215641
title: Flow Measurement Dataset: Kármán Vortex Street Measured by Pressure-Sensitive Paint Technique

description: This dataset is a pressure distribution induced by a Kármán vortex street behind a square cylinder measured by the pressure-sensitive paint (PSP) technique. This data was obtained at the small low-turbulence wind tunnel at the Institute of Fluid Science, Tohoku University. A mean velocity was set to 50 m/s. The width, length, and height of the square cylinder were 40 mm, 40 mm, and 100 mm, respectively. Then, the Reynolds number based on the width of the square cylinder was 1.1×10^5⁠.
DOI: 10.5281/zenodo.10820496
title: YASMIQ DONINING BIOLOGIYASI VA QISHLOQ XO'JALIGIDA TUTGAN O'RNI.
DOI: 10.5281/zenodo.10820495
title: YASMIQ DONINING BIOLOGIYASI VA QISHLOQ XO'JALIGIDA TUTGAN O'RNI.
DOI: 10.5281/zenodo.10820336
title: global interpreted planted forest, natural forests validation samples

description: This dataset provided the global validation dataset including planted forest, natural forest, and non-forest in 2015. This dataset was visually interpreted using the high spatial resolution (<1 m) images from Google Earth, and combining the spatial distribution of planted forets, and forest gain map.

1 denotes planted forest, 2 denotes the natural forest, and 3 denotes the nonforest.

Detailed information about how the global validation dataset was visually interpreted can be seen in the following reference:

Xu, H., He, B., Guo, L., Yan, X., Zeng, Y., Yuan, W., et al. (2024). Global forest plantations mapping and biomass carbon estimation. Journal of Geophysical Research: Biogeosciences, 129, e2023JG007441.
DOI: 10.5281/zenodo.10820335
title: global interpreted planted forest, natural forests validation samples

description: This dataset provided the global validation dataset including planted forest, natural forest, and non-forest in 2015. This dataset was visually interpreted using the high spatial resolution (<1 m) images from Google Earth, and combining the spatial distribution of planted forets, and forest gain map.

1 denotes planted forest, 2 denotes the natural forest, and 3 denotes the nonforest.

Detailed information about how the global validation dataset was visually interpreted can be seen in the following reference:

Xu, H., He, B., Guo, L., Yan, X., Zeng, Y., Yuan, W., et al. (2024). Global forest plantations mapping and biomass carbon estimation. Journal of Geophysical Research: Biogeosciences, 129, e2023JG007441.
DOI: 10.5281/zenodo.10818813
title: Full Results from Simulations for Static and Dynamic Workloads Using BSC Slurm Simulator

description: This dataset contains two CSV files. One is for the static runs, done by emulating LUMI's supercomputer environment, and dynamic, using CEA-Curie workload taken from Feitelson's repository.
DOI: 10.5281/zenodo.10818812
title: Full Results from Simulations for Static and Dynamic Workloads Using BSC Slurm Simulator

description: This dataset contains two CSV files. One is for the static runs, done by emulating LUMI's supercomputer environment, and dynamic, using CEA-Curie workload taken from Feitelson's repository.
DOI: 10.5281/zenodo.10819549
title: [Omim]Cl recovery by ED - NCN project SONATA-17, grant no. 2021/43/D/ST8/02776.

description: Dataset contains results obtained during the NCN project SONATA-17, grant no. 2021/43/D/ST8/02776. The file presents results of the effect of ED parameters on IL recovery.
DOI: 10.5281/zenodo.10819548
title: [Omim]Cl recovery by ED - NCN project SONATA-17, grant no. 2021/43/D/ST8/02776.

description: Dataset contains results obtained during the NCN project SONATA-17, grant no. 2021/43/D/ST8/02776. The file presents results of the effect of ED parameters on IL recovery.
DOI: 10.34740/kaggle/dsv/7854721
title: Metamorphosis of Land Use
DOI: 10.5281/zenodo.10797619
title: Longyearbyen CO2 Lab - Core Photos - DH1

description: Includes drill core photographs (whole boxes) for the Longyearbyen CO2 Lab borehole DH1.

Missing interval: 515-517.85 m
DOI: 10.5281/zenodo.10797620
title: Longyearbyen CO2 Lab - Core Photos - DH1

description: Includes drill core photographs (whole boxes) for the Longyearbyen CO2 Lab borehole DH1.

Missing interval: 515-517.85 m
DOI: 10.6084/m9.figshare.24464272
title: Figure 3, 4_ Supplementary Table 2,3_ mosaic diagrams(condition intervention JMP)

description: The dataset for the article "The current utilization status of wearable devices in clinical research".Analyses were performed by utilizing the JMP Pro 16.10.The file extension "jrp" is a file of the statistical analysis software JMP, which contains both the analysis code and the data set.In case JMP is not available, a "csv" file as a data set and JMP script, the analysis code, are prepared in "rtf" format.JMP repot files used to create the figures(Figure 3 ,4 ) and tables(Supplementary Table 2,3) , including the csv dataset of JMP repot files and JMP scripts.<br>Figure 3. Mosaic diagram of conditionsSupplementary Table 2. Analysis of contingency table per conditionThe mosaic diagrams Condition20220903.jrpAnalysis by Model dataset The mosaic diagrams Condition.csvThe mosaic diagrams Condition.rtf<br>Figure 4. Mosaic diagram of interventionSupplementary Table 3. Analysis of contingency table for interventionThe mosaic diagrams Intervention20220903.jrpAnalysis by Model dataset The mosaic diagrams Intervention.csvThe mosaic diagrams Intervention.rtf<br>
DOI: 10.5281/zenodo.10599616
title: Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability

description: Datasets used for the analysis done for the paper "Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability".

Files present are:

-Species x Plot (vegetation releveés).

-Plot x Environment.

-Plot x CWM_inter for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.

-Plot x CWM_intra for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.

-Plot x SES-FD_inter (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.

-Plot x SES-FD_intra (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.

All analysis were carried out using the software R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org) and can be consulted on GitHub https://github.com/AriannaFerrara/Elevation-and-Intraspecific-trait-variability.git
DOI: 10.5281/zenodo.10599617
title: Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability

description: Datasets used for the analysis done for the paper "Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability".

Files present are:

-Species x Plot (vegetation releveés).

-Plot x Environment.

-Plot x CWM_inter for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.

-Plot x CWM_intra for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.

-Plot x SES-FD_inter (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.

-Plot x SES-FD_intra (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.

All analysis were carried out using the software R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org) and can be consulted on GitHub https://github.com/AriannaFerrara/Elevation-and-Intraspecific-trait-variability.git
DOI: 10.21966/7ze4-x883
title: Mapping Canopy-Forming Kelps in the Northeast Pacific: A Guidebook for Decision-Makers and Practitioners
title: Cartographie des algues qui forment la canopée dans le nord-est du Pacifique : guide à l'intentione des décideurs et des praticiens

description: This guidebook provides an overview of optical remote sensing as it relates to mapping giant kelp and bull kelp. We describe optical remote sensing platforms and sensors pertinent to mapping and monitoring attributes of bull kelp and giant kelp beds - kelp presence/absence, density, species, and health. Recommendations found in this guidebook can also reasonably be applied to other floating, emergent canopy-forming kelp species (i.e. other kelp that float at the ocean’s surface). This guidebook provides monitoring guidance via infographics developed by an international community of kelp remote sensing experts. We illustrate a user-friendly framework based on the latest remote sensing science for matching a kelp monitoring objective(s) to the desired spatial scale and environmental setting. The goal of this guidebook is to help you, our reader, select the best remote sensing tools and data for your science and/or management directives related to kelp mapping. The guidebook is available in both English and Spanish.
description: Ce guide donne un aperçu de la télédétection optique en ce qui concerne la cartographie du varech géant et du varech à tête plate. Nous décrivons les plateformes de télédétection optique et les capteurs pertinents pour cartographier et surveiller les caractéristiques du varech à tête plate et des herbiers de varech géant : présence/absence de varech, densité, espèces et santé. Les recommandations contenues dans ce guide peuvent également être raisonnablement appliquées à d'autres espèces de varech flottantes et émergentes formant une canopée (c'est-à-dire d'autres espèces de varech qui flottent à la surface de l'océan). Ce guide fournit des conseils de surveillance via des infographies développées par une communauté internationale d'experts en télédétection du varech. Nous illustrons un cadre convivial basé sur les dernières avancées scientifiques en matière de télédétection pour faire correspondre un ou plusieurs objectifs de surveillance du varech à l'échelle spatiale et au cadre environnemental souhaités. L'objectif de ce guide est de vous aider, notre lecteur, à sélectionner les meilleurs outils et données de télédétection pour vos directives scientifiques et/ou de gestion liées à la cartographie du varech. Le guide est disponible en anglais et en espagnol.
DOI: 10.5281/zenodo.10819540
title: [Bmim]HSO4 recovery by ED - NCN project SONATA-17, grant no. 2021/43/D/ST8/02776.

description: Dataset contains results obtained during the NCN project SONATA-17, grant no. 2021/43/D/ST8/02776. The file presents results of the effect of ED parameters on IL recovery.
DOI: 10.5281/zenodo.10819541
title: [Bmim]HSO4 recovery by ED - NCN project SONATA-17, grant no. 2021/43/D/ST8/02776.

description: Dataset contains results obtained during the NCN project SONATA-17, grant no. 2021/43/D/ST8/02776. The file presents results of the effect of ED parameters on IL recovery.
DOI: 10.5281/zenodo.10796953
title: Spherical harmonic models of the shape of the Moon (principal axis coordinate system) [LOLA]

description: This archive contains four spherical harmonic models of the shape of the Moon in a principal axis coordinate system, truncated at different maximum spherical harmonic degrees. The highest resolution model has a maximum spherical harmonic degree of 5759, which was generated from a lunar shape model sampled at 64 pixels per degree.

The data used to generate these models are from the LOLA instrument on the Lunar Reconaissance Orbiter, as found in the file ldem_64_pa.img on NASA's PDS website. This image file was first converted to netcdf format using the generic-mapping-tools function xyz2grd, and the resulting gridline-registered netcdf file was read into the pyshtools software and expanded into spherical harmonics using the function SHCoeffs.expand(). The spherical harmonic functions were chosen to be "4pi" normalized and to exclude the Condon-Shortley phase factor of (-1)m. The units of the coefficients are meters.

The four files in this archive are



Moon_LOLA_shape_pa_5759.bshc.gz

Moon_LOLA_shape_pa_2879.bshc.gz

Moon_LOLA_shape_pa_1439.bshc.gz

Moon_LOLA_shape_pa_719.bshc.gz


The numbers 5759, 2879, 1439, and 719 in the filename refer to the maximum spherical harmonic degree of file, which corresponds to effective spatial resolutions of 64, 32, 16, and 8 pixels per degree, respectively. The files are stored in the binary "bshc" format as described in the pyshtools documentation and are furthermore compressed using gzip. The lower resolution models were generated by truncating the spherical harmonic coefficients of the highest resolution model.

This shape model uses the same coordinate system as most lunar gravity models. The principal axis coordinate system differs from the more common mean Earth/polar axis system by about 1 km at the equator. For a mean Earth/polar axis model, use Spherical harmonic models of the shape of the Moon.
DOI: 10.5281/zenodo.10819489
title: X-ray powder diffraction patterns of Bi2-xSbxTe3 (x=0, 0.2, 0.5, 1.5, 1.8, 2.0) nanoparticles

description: The data set contains X-ray powder diffraction patterns of Bi2-xSbxTe3 (x=0, 0.2, 0.5, 1.5, 1.8, 2.0) nanoparticles, synthesized utilizing microwave-assisted heating. Diffraction data were collected at room temperature using a benchtop Rigaku MiniFlex 600 diffractometer with Bragg-Brentano θ-2θ geometry. An X-ray tube with a copper anode (Cu Kα radiation, λ =1.5418 Å), operated at U = 40 kV and I = 15 mA, was used as a source. Bi2Te3 and Sb2Te3 are isostructural and crystallize in a rhombohedral crystal system with the space group R-3m (No. 166).
DOI: 10.5281/zenodo.10819488
title: X-ray powder diffraction patterns of Bi2-xSbxTe3 (x=0, 0.2, 0.5, 1.5, 1.8, 2.0) nanoparticles

description: The data set contains X-ray powder diffraction patterns of Bi2-xSbxTe3 (x=0, 0.2, 0.5, 1.5, 1.8, 2.0) nanoparticles, synthesized utilizing microwave-assisted heating. Diffraction data were collected at room temperature using a benchtop Rigaku MiniFlex 600 diffractometer with Bragg-Brentano θ-2θ geometry. An X-ray tube with a copper anode (Cu Kα radiation, λ =1.5418 Å), operated at U = 40 kV and I = 15 mA, was used as a source. Bi2Te3 and Sb2Te3 are isostructural and crystallize in a rhombohedral crystal system with the space group R-3m (No. 166).
DOI: 10.5281/zenodo.10820951
title: Informal diagrams (.drawio) mined from GitHub projects with more than 5000 stars
DOI: 10.5281/zenodo.10820950
title: Informal diagrams (.drawio) mined from GitHub projects with more than 5000 stars