cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6912671
title: From silk to sand: Multiple dimensions of perceived softness

description: From silk to sand: Hand explorations are determined by the characteristics of the perceptual space of real-world materials Perceiving mechanical properties of objects, i.e., how they react to physical forces, is a crucial ability in many aspects of life, from choosing an avocado to picking your clothes. There is, a wide variety of materials that differ substantially in their mechanical properties. For example, both, silk and sand deform and change shape in response to exploration forces, but each does so in very different ways. Studies show that the haptic perceptual space has multiple dimensions corresponding to the physical properties of textures, however in these experiments the range of materials or exploratory movements were restricted. Here we investigate the perceptual dimensionality in a large set of real materials in a free haptic exploration task. Thirty-two participants actively explored deformable and non-deformable materials with their hands and rated them on several attributes. Using the semantic differential technique, video analysis and linear classification, we found four haptic dimensions, each associated with a distinct set of hand and finger movements during active exploration. Taken together our findings suggest that the physical, particularly the mechanical, properties of a material systematically affect how it is explored on a much more fine-grained level than originally thought. The folder contains raw data related to video event coding of 5 raters: R1_20180820.txt R2_14082018.txt R3_14082018.txt R4_20180610firstlist55.txt R5_20180610firstlist64v2.txt Same data are also shared in Matlab format after deleting unnecessary information such as file paths or fps: a.mat, h.mat, o.mat, s.mat, v.mat Ethogram file contains exploratory procedure names and materials file contains material names. Matlab files include codes for calculating inter-rater reliability (plot_correlate_EP_permaterial.m), resulting data for inter-rater reliability (IRR_overall_corrcoeffs.mat, IRR_permaterial_corrcoeffs.mat). We also include scripts to plot timelines and EP frequencies, plot_timelines_materials_alex.m and plot_durations_material_meansub_alex.m respectively. Finally, the script for classification from Mathworks Inc. uses built-in Matlab functions, we include our script where we only changed variable names (sort_svmdata4.m).
DOI: 10.5281/zenodo.4080924
title: From silk to sand: Multiple dimensions of perceived softness

description: From silk to sand: Hand explorations are determined by the characteristics of the perceptual space of real-world materials Perceiving mechanical properties of objects, i.e., how they react to physical forces, is a crucial ability in many aspects of life, from choosing an avocado to picking your clothes. There is, a wide variety of materials that differ substantially in their mechanical properties. For example, both, silk and sand deform and change shape in response to exploration forces, but each does so in very different ways. Studies show that the haptic perceptual space has multiple dimensions corresponding to the physical properties of textures, however in these experiments the range of materials or exploratory movements were restricted. Here we investigate the perceptual dimensionality in a large set of real materials in a free haptic exploration task. Thirty-two participants actively explored deformable and non-deformable materials with their hands and rated them on several attributes. Using the semantic differential technique, video analysis and linear classification, we found four haptic dimensions, each associated with a distinct set of hand and finger movements during active exploration. Taken together our findings suggest that the physical, particularly the mechanical, properties of a material systematically affect how it is explored on a much more fine-grained level than originally thought. The folder contains raw data related to video event coding of 5 raters: R1_20180820.txt R2_14082018.txt R3_14082018.txt R4_20180610firstlist55.txt R5_20180610firstlist64v2.txt Same data are also shared in Matlab format after deleting unnecessary information such as file paths or fps: a.mat, h.mat, o.mat, s.mat, v.mat Ethogram file contains exploratory procedure names and materials file contains material names. Matlab files include codes for calculating inter-rater reliability (plot_correlate_EP_permaterial.m), resulting data for inter-rater reliability (IRR_overall_corrcoeffs.mat, IRR_permaterial_corrcoeffs.mat). We also include scripts to plot timelines and EP frequencies, plot_timelines_materials_alex.m and plot_durations_material_meansub_alex.m respectively. Finally, the script for classification from Mathworks Inc. uses built-in Matlab functions, we include our script where we only changed variable names (sort_svmdata4.m).
DOI: 10.5281/zenodo.4270206
title: Cartes d'affectations des terres en 2016 et 2019 dans le Sud-Est de la Côte d'Ivoire

description: Ce répertoire contient deux cartes d'occupations du sol dans le Sud-Est de la Côte d'Ivoire respectivement pour les années de référence 2016 et 2019. La méthodologie utilisée pour produire ces cartes est basée sur l’utilisation d’images Sentinel-2 à 10 mètres de résolution sur une zone couvrant 22 014 km2 avec seize catégories d’affectations des terres. Après prétraitements, les images Sentinel-2 ont été soumises à une analyse automatisée sous R en plusieurs étapes dont la classification supervisée avec l’algorithme Random Forest et l’évaluation de la qualité du modèle de classification. Les cartes présentant des précisions globales satisfaisantes (92% pour la carte de 2016 et 87% pour celle de 2019) ont ensuite servi à produire les cartes des conversions des diverses formations forestières. Ces cartes ont été produites dans le cadre des travaux de recherche sur les conversions forestières dans trois régions du Sud-Est de la Côte d'Ivoire et l'analyse des causes de la déforestation. Ce travail a été soumis à la revue Bois et Forêts des Tropiques et est en cours de relecture.
DOI: 10.5281/zenodo.4270122
title: Cartes d'affectations des terres en 2016 et 2019 dans le Sud-Est de la Côte d'Ivoire

description: Ce répertoire contient deux cartes d'occupations du sol dans le Sud-Est de la Côte d'Ivoire respectivement pour les années de référence 2016 et 2019. La méthodologie utilisée pour produire ces cartes est basée sur l’utilisation d’images Sentinel-2 à 10 mètres de résolution sur une zone couvrant 22 014 km2 avec seize catégories d’affectations des terres. Après prétraitements, les images Sentinel-2 ont été soumises à une analyse automatisée sous R en plusieurs étapes dont la classification supervisée avec l’algorithme Random Forest et l’évaluation de la qualité du modèle de classification. Les cartes présentant des précisions globales satisfaisantes (92% pour la carte de 2016 et 87% pour celle de 2019) ont ensuite servi à produire les cartes des conversions des diverses formations forestières. Ces cartes ont été produites dans le cadre des travaux de recherche sur les conversions forestières dans trois régions du Sud-Est de la Côte d'Ivoire et l'analyse des causes de la déforestation. Ce travail a été soumis à la revue Bois et Forêts des Tropiques et est en cours de relecture.
DOI: 10.5281/zenodo.6912673
title: A magnetotelluric dataset in the Duobaoshan island arc region

description: A magnetotelluric dataset in the Duobaoshan island arc region. This dataset is used for 3D inversion of unstructured grids. 57 sites are arranged, and the average acquisition time is greater than 20h. It contains full-impedance magnetotelluric data at 18 frequency in the period rang of 0.1- 0.001s. The file MT3D_BFGS_124.vtk is the inversion results obtained after 124 iterations.
DOI: 10.5281/zenodo.6912672
title: A magnetotelluric dataset in the Duobaoshan island arc region

description: A magnetotelluric dataset in the Duobaoshan island arc region. This dataset is used for 3D inversion of unstructured grids. 57 sites are arranged, and the average acquisition time is greater than 20h. It contains full-impedance magnetotelluric data at 18 frequency in the period rang of 0.1- 0.001s. The file MT3D_BFGS_124.vtk is the inversion results obtained after 124 iterations.
DOI: 10.5517/ccdc.csd.cc20971m
title: CCDC 1855909: Experimental Crystal Structure Determination

description: Related Article: Seham K. Abdel-Aal, A. Ouasri|2022|J.Solid State Chem.|314|123401|doi:10.1016/j.jssc.2022.123401
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.6912699
title: Filtered data from "A first look at sea-lavenders genomics – can genome wide SNP information tip the scales of controversy in the Limonium vulgare species complex?"

description: Filtered data from "A first look at sea-lavenders genomics – can genome wide SNP information tip the scales of controversy in the Limonium vulgare species complex?" Limonium_species.tar.xz Inside this file you will find all required data and metadata to reproduce the analysis using the environment from this gitlab repository. This inlcues both a <code>VCF</code> file for SNP data and a <code>Phylip</code> file for phylogenetic analyses. This is the datset "species" from the paper. Limonium_lvu_lma.tar.xz Inside this file you will find all required data and metadata to reproduce the analysis using the environment from this gitlab repository. This inlcues both a <code>VCF</code> file for SNP data and a <code>Phylip</code> file for phylogenetic analyses. This is the dataset "lvu_lma" from the paper.
DOI: 10.5281/zenodo.6912698
title: Filtered data from "A first look at sea-lavenders genomics – can genome wide SNP information tip the scales of controversy in the Limonium vulgare species complex?"

description: Filtered data from "A first look at sea-lavenders genomics – can genome wide SNP information tip the scales of controversy in the Limonium vulgare species complex?" Limonium_species.tar.xz Inside this file you will find all required data and metadata to reproduce the analysis using the environment from this gitlab repository. This inlcues both a <code>VCF</code> file for SNP data and a <code>Phylip</code> file for phylogenetic analyses. This is the datset "species" from the paper. Limonium_lvu_lma.tar.xz Inside this file you will find all required data and metadata to reproduce the analysis using the environment from this gitlab repository. This inlcues both a <code>VCF</code> file for SNP data and a <code>Phylip</code> file for phylogenetic analyses. This is the dataset "lvu_lma" from the paper.
DOI: 10.34740/kaggle/dsv/3991958
title: YouTube Daily
DOI: 10.6084/m9.figshare.20311003
title: Hematological parameters and X-ray exposure among medical radiation workers: a systematic review and meta-analysis

description: The aim of this study was to explore the effect of occupational exposure to X-ray on hematological parameters. A systematic search was conducted in the Scopus, PubMed, Web of Science, and Embase databases up to April 2020. The methodological quality was assessed by Joanna Briggs Institute (JBI) Critical Appraisal Checklist . The random-effects model was used to estimate the effect size (standard difference in means (SDMs)) Out of 1750 identified citations, ten studies met the inclusion criteria The overall effect size did not show any significant difference between the two groups (SMDs ranged from −0.382 ± 0.29 for white blood cells (WBC), 0.213 ± 0.40 for platelet, −0.323 ± 0.0.16 for mean corpuscular volume (MCV), 0.553 ± 0.41 for mean corpuscular hemoglobin concentration (MCHC), −1.615 ± 1.41 for monocyte, 0.418 ± 0.49 for lymphocyte (P-value&gt;0.05). Only the effect size of red blood cells was significantly higher than that of the control group (SMD = 1.06 ± 0.28; 95% CI: 0.504, 1.615; P-value = 0.001). The long-term and low-dose radiation may have no significant effect on blood parameters. Future studies are suggested to use other tests such as dicentric chromosome assay (DCA), cytogenetic tests, and modern tests besides blood count parameters.
DOI: 10.6084/m9.figshare.20311003.v1
title: Hematological parameters and X-ray exposure among medical radiation workers: a systematic review and meta-analysis

description: The aim of this study was to explore the effect of occupational exposure to X-ray on hematological parameters. A systematic search was conducted in the Scopus, PubMed, Web of Science, and Embase databases up to April 2020. The methodological quality was assessed by Joanna Briggs Institute (JBI) Critical Appraisal Checklist . The random-effects model was used to estimate the effect size (standard difference in means (SDMs)) Out of 1750 identified citations, ten studies met the inclusion criteria The overall effect size did not show any significant difference between the two groups (SMDs ranged from −0.382 ± 0.29 for white blood cells (WBC), 0.213 ± 0.40 for platelet, −0.323 ± 0.0.16 for mean corpuscular volume (MCV), 0.553 ± 0.41 for mean corpuscular hemoglobin concentration (MCHC), −1.615 ± 1.41 for monocyte, 0.418 ± 0.49 for lymphocyte (P-value&gt;0.05). Only the effect size of red blood cells was significantly higher than that of the control group (SMD = 1.06 ± 0.28; 95% CI: 0.504, 1.615; P-value = 0.001). The long-term and low-dose radiation may have no significant effect on blood parameters. Future studies are suggested to use other tests such as dicentric chromosome assay (DCA), cytogenetic tests, and modern tests besides blood count parameters.
DOI: 10.25919/gqzk-0q53
title: Parkes observations for project P1128 semester 2022APRS_09

description: This proposal requests 4 hours to carry out regular monitoring an eclipsing binary millisecond pulsar in the globular cluster NGC 6397, which we discovered with the Parkes UWL.
DOI: 10.25919/p6g7-wn11
title: Parkes observations for project P1128 semester 2022APRS_08

description: This proposal requests 4 hours to carry out regular monitoring an eclipsing binary millisecond pulsar in the globular cluster NGC 6397, which we discovered with the Parkes UWL.
DOI: 10.6084/m9.figshare.20323722.v1
title: Sense of Virtual Community

description: Dataset R code for replication Questionnaire Validity tables
DOI: 10.25919/8q6m-m910
title: Parkes pulsar observations with undefined project IDs for 2022APRS_11

description: Parkes pulsar observations with undefined project IDs for 2022APRS. This collection contains observations from project IDs PX085 and PX071.
DOI: 10.5281/zenodo.6909185
title: High-resolution maps of material stock and population in Germany from 1985 to 2018

description: Global societal material stocks such as buildings and infrastructure accumulated rapidly within recent decades, along with population growth. Material stocks constitute the physical basis of most socio-economic activities and services, such as mobility, housing, health, or education. The dynamics of stock growth, and its relation to the population that demands those services, is an essential indicator for long-term societal resource use and patterns of emissions. The creation of societal material stock creates path dependencies for future resource use, with an important impact on how the transformation towards sustainable societies can succeed. This dataset features detailed maps of material stock and population for Germany on a 30m grid. The data is based on recent maps of material stock and building volume (compare to Haberl et al. 2021, doi: 10.1021/acs.est.0c05642), recent and historic census data, and a time series of Landsat TM, ETM+, and OLI Earth Observation data. <strong>Temporal extent</strong> The data contains annual maps from 1985 to 2018. <strong>Data format and units</strong> Per German federal state, the data come in tiles of 30x30km. The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. Please consider the generation of image pyramids before using *.vrt files. All image data has 34 bands, where band 1 is data for 1985, and band 34 is data for 2018. The dataset features population (Scaled by 100 to reduce data storage size. Divide by 100 to get people per cell) mass (in tons) of … total material stock … material stock in buildings … in commercial and industrial buildings … in multi-family residential buildings … in single-family residential buildings … in high-rise buildings … in lightweight buildings … material stock in road infrastructure … material stock in rail infrastructure … material stock in other infrastructure Material stock in high-rise and lightweight buildings is not featured in the corresponding publication due to its overall negligible amount. It is, however, included here for completeness. <strong>Further information</strong> For further information, please see the publication or contact Franz Schug (fschug@wisc.edu). Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. <strong>Corresponding publication</strong> Schug, F., Frantz, D., Wiedenhofer, D., Virág, D., Haberl, H., van der Linden, S., Hostert, P. (in rev.): High-resolution mapping of 33 years of material stock and population growth in Germany. Journal of Industrial Ecology <strong>Funding</strong> This research was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).
DOI: 10.5281/zenodo.6909184
title: High-resolution maps of material stock and population in Germany from 1985 to 2018

description: Global societal material stocks such as buildings and infrastructure accumulated rapidly within recent decades, along with population growth. Material stocks constitute the physical basis of most socio-economic activities and services, such as mobility, housing, health, or education. The dynamics of stock growth, and its relation to the population that demands those services, is an essential indicator for long-term societal resource use and patterns of emissions. The creation of societal material stock creates path dependencies for future resource use, with an important impact on how the transformation towards sustainable societies can succeed. This dataset features detailed maps of material stock and population for Germany on a 30m grid. The data is based on recent maps of material stock and building volume (compare to Haberl et al. 2021, doi: 10.1021/acs.est.0c05642), recent and historic census data, and a time series of Landsat TM, ETM+, and OLI Earth Observation data. <strong>Temporal extent</strong> The data contains annual maps from 1985 to 2018. <strong>Data format and units</strong> Per German federal state, the data come in tiles of 30x30km. The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. Please consider the generation of image pyramids before using *.vrt files. All image data has 34 bands, where band 1 is data for 1985, and band 34 is data for 2018. The dataset features population (Scaled by 100 to reduce data storage size. Divide by 100 to get people per cell) mass (in tons) of … total material stock … material stock in buildings … in commercial and industrial buildings … in multi-family residential buildings … in single-family residential buildings … in high-rise buildings … in lightweight buildings … material stock in road infrastructure … material stock in rail infrastructure … material stock in other infrastructure Material stock in high-rise and lightweight buildings is not featured in the corresponding publication due to its overall negligible amount. It is, however, included here for completeness. <strong>Further information</strong> For further information, please see the publication or contact Franz Schug (fschug@wisc.edu). Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society. <strong>Corresponding publication</strong> Schug, F., Frantz, D., Wiedenhofer, D., Virág, D., Haberl, H., van der Linden, S., Hostert, P. (in rev.): High-resolution mapping of 33 years of material stock and population growth in Germany. Journal of Industrial Ecology <strong>Funding</strong> This research was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).
DOI: 10.6084/m9.figshare.15161484
title: Early-pregnancy maternal body mass index is associated with common DNA methylation markers in cord blood and placenta: a paired-tissue epigenome-wide association study

description: Women entering pregnancy with elevated body mass index (BMI) face greater risk of adverse outcomes during pregnancy, delivery, and for their offspring later in life, potentially via epigenetics. If epigenetic programming occurs early during <i>in utero</i> development, the differential marks should be detectable in multiple tissues despite the known unique epigenetic profile in each. We used early-pregnancy BMI as reflection of maternal metabolic milieu exposure in peri-conception and early-pregnancy period. We analysed DNA methylation in paired cord blood and placenta samples among 437 newborns from Gen3G, a pre-birth prospective cohort of primarily European descent. We measured DNA methylation in both tissues across the genome in &gt;720,000 CpG sites using the <i>Illumina MethylationEPIC</i> array. At each site, we used linear mixed models (LMMs) with an unstructured variance-covariance matrix to test for an association between maternal early-pregnancy BMI and DNA methylation in both tissues (modelled as <i>M</i>-values). We adjusted for tissue-specific covariates, offspring sex, gestational age at delivery, and maternal smoking and age. Women had a mean (SD) BMI of 25.4 (5.7) kg/m<sup>2</sup> measured at first trimester visit (mean=9.9 weeks). Early-pregnancy BMI was associated with differential DNA methylation levels in paired-tissue analyses at two sites: cg10593758 (β=0.0126, SE=0.0025; <i>P</i>=4.07e-7), annotated to <i>CRHBP</i>, and cg0762168 (β=−0.0094, SE=0.0018; <i>P</i>=2.78e-7), annotated to <i>CCDC97</i>. Application of LMMs in DNA methylation data from distinct fetal-origin tissues allowed us to identify CpG sites at which early-pregnancy BMI may have an epigenetic ‘programming’ effect on overall fetus development. One site (<i>CRHBP</i>) may play a role in hypothalamic-pituitary-adrenal axis regulation.