cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7625617
title: Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples

description: We present a <strong>D</strong>iagnostic dataset of <strong>IA</strong> <strong>Ref</strong>erences in a <strong>Pento</strong>mino domain (Pento-DIARef) that ties extensional and intensional definitions more closely together, insofar as the latter is the generative process creating the former. We create a novel synthetic dataset of examples that pairs visual scenes with generated referring expressions; examine two variants of the dataset, representing two different ways to exemplify the underlying task; and evaluate an LSTM-based baseline, a transformer and a modified version with region embeddings on them. See https://github.com/clp-research/pento-diaref for more information.
DOI: 10.5281/zenodo.7858995
title: Tryps-IN: A streamlined palaeoproteomics workflow enables ZooMS analysis of 10,000-year-old petrous bones from Jordan rift-valley

description: Poor preservation of collagen in dry and/or arid environments has hindered the application of Zooarchaeology by mass spectrometry (ZooMS) analysis in many regions of the world, and as a result many zooarchaeological investigations have relied exclusively on the morphological assessment of fragmentary remains, due to the inadequate preservation of biomolecules. The climatic conditions of Southwest Asia include extreme temperature fluctuations unconducive to preservation of proteins and DNA. We performed zooarchaeological analysis of remains from the 10,000-year-old site of Shkārat Msaied in Jordan and sub-sampled twenty-eight petrous bones, the hardest bone in the mammalian skeleton, for species identification by ZooMS. Using an unconventional and simplified extraction protocol we call Tryps-IN, in which digestion was performed without removal of the demineralising EDTA, we taxonomically identified several fragments, outperforming the established ZooMS work-flow. A subset of identifications was subsequently confirmed using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) protein sequencing. The new methodology presented here opens the possibility of further bioarchaeological investigation of other fragmentary faunal assemblages within this region of archaeological significance.
DOI: 10.5281/zenodo.7858994
title: Tryps-IN: A streamlined palaeoproteomics workflow enables ZooMS analysis of 10,000-year-old petrous bones from Jordan rift-valley

description: Poor preservation of collagen in dry and/or arid environments has hindered the application of Zooarchaeology by mass spectrometry (ZooMS) analysis in many regions of the world, and as a result many zooarchaeological investigations have relied exclusively on the morphological assessment of fragmentary remains, due to the inadequate preservation of biomolecules. The climatic conditions of Southwest Asia include extreme temperature fluctuations unconducive to preservation of proteins and DNA. We performed zooarchaeological analysis of remains from the 10,000-year-old site of Shkārat Msaied in Jordan and sub-sampled twenty-eight petrous bones, the hardest bone in the mammalian skeleton, for species identification by ZooMS. Using an unconventional and simplified extraction protocol we call Tryps-IN, in which digestion was performed without removal of the demineralising EDTA, we taxonomically identified several fragments, outperforming the established ZooMS work-flow. A subset of identifications was subsequently confirmed using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) protein sequencing. The new methodology presented here opens the possibility of further bioarchaeological investigation of other fragmentary faunal assemblages within this region of archaeological significance.
DOI: 10.5281/zenodo.7861359
title: Tryps-IN: A streamlined palaeoproteomics workflow enables ZooMS analysis of 10,000-year-old petrous bones from Jordan rift-valley

description: Poor preservation of collagen in dry and/or arid environments has hindered the application of Zooarchaeology by mass spectrometry (ZooMS) analysis in many regions of the world, and as a result many zooarchaeological investigations have relied exclusively on the morphological assessment of fragmentary remains, due to the inadequate preservation of biomolecules. The climatic conditions of Southwest Asia include extreme temperature fluctuations unconducive to preservation of proteins and DNA. We performed zooarchaeological analysis of remains from the 10,000-year-old site of Shkārat Msaied in Jordan and sub-sampled twenty-eight petrous bones, the hardest bone in the mammalian skeleton, for species identification by ZooMS. Using an unconventional and simplified extraction protocol we call Tryps-IN, in which digestion was performed without removal of the demineralising EDTA, we taxonomically identified several fragments, outperforming the established ZooMS work-flow. A subset of identifications was subsequently confirmed using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) protein sequencing. The new methodology presented here opens the possibility of further bioarchaeological investigation of other fragmentary faunal assemblages within this region of archaeological significance.
DOI: 10.5281/zenodo.7861358
title: Tryps-IN: A streamlined palaeoproteomics workflow enables ZooMS analysis of 10,000-year-old petrous bones from Jordan rift-valley

description: Poor preservation of collagen in dry and/or arid environments has hindered the application of Zooarchaeology by mass spectrometry (ZooMS) analysis in many regions of the world, and as a result many zooarchaeological investigations have relied exclusively on the morphological assessment of fragmentary remains, due to the inadequate preservation of biomolecules. The climatic conditions of Southwest Asia include extreme temperature fluctuations unconducive to preservation of proteins and DNA. We performed zooarchaeological analysis of remains from the 10,000-year-old site of Shkārat Msaied in Jordan and sub-sampled twenty-eight petrous bones, the hardest bone in the mammalian skeleton, for species identification by ZooMS. Using an unconventional and simplified extraction protocol we call Tryps-IN, in which digestion was performed without removal of the demineralising EDTA, we taxonomically identified several fragments, outperforming the established ZooMS work-flow. A subset of identifications was subsequently confirmed using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) protein sequencing. The new methodology presented here opens the possibility of further bioarchaeological investigation of other fragmentary faunal assemblages within this region of archaeological significance.
DOI: 10.6084/m9.figshare.22276663
title: Test Anxiety & Emotional Intelligence Meta

description: <strong>The Relationship Between Emotional Intelligence and Test Anxiety: A Meta-analysis</strong>
DOI: 10.6084/m9.figshare.22276663.v1
title: ta ei

description: <strong>The Relationship Between Emotional Intelligence and Test Anxiety: A Meta-analysis</strong>
DOI: 10.6084/m9.figshare.22276663.v2
title: Test Anxiety & Emotional Intelligence Meta

description: <strong>The Relationship Between Emotional Intelligence and Test Anxiety: A Meta-analysis</strong>
DOI: 10.6084/m9.figshare.22691557
title: 3D bridge models

description: DT represents a fusion of the informational and physical domains to bridge the real and virtual worlds, which offers a new perspective for intelligent bridge construction. In this context, we proposed a DT-enabled spatial modelling approach of bridge construction environments to upgrade decision-making intelligence. We first classified the objects and relationships involved in the bridge construction. Based on that, we established a logic model, which provided a reference guide for implementing the subsequent spatial modelling and visual simulation of bridge construction. Then, we created a high-fidelity virtual geographic scene for bridge construction and proposed the corresponding spatial modelling solutions for wind, temperature, and stress factors. In addition, the bridge construction process was visually simulated by analogy with the tree growth. Finally, the proposed approach was implemented on a mega suspension bridge under construction. The results from the case study show that the spatial modelling and visual simulation of bridge construction provide an effective solution for pre-discovering risks, optimizing construction plans, and assisting decision-making, which also has excellent potential for the lifecycle management of bridge construction
DOI: 10.5281/zenodo.7861754
title: Output dataset for the PRA1 of Assignment 'Tipología y ciclo de vida de los datos' of UOC's Master in Data Scince

description: Dataset containing the concatenation of the results of a web scraping process for the portals of Idealista and Fotocasa for the area of Vilanova i la Geltrú, Barcelona, compiled on on 2022-04-19 and 2022-04-25 respectively.
DOI: 10.5281/zenodo.7861753
title: Output dataset for the PRA1 of Assignment 'Tipología y ciclo de vida de los datos' of UOC's Master in Data Scince

description: Dataset containing the concatenation of the results of a web scraping process for the portals of Idealista and Fotocasa for the area of Vilanova i la Geltrú, Barcelona, compiled on on 2022-04-19 and 2022-04-25 respectively.
DOI: 10.48420/20025791.v3
title: Sub-Picosecond Carrier Dynamics Explored using Automated High-Throughput Studies of Doping Inhomogeneity within a Bayesian Framework

description: The dataset includes 24K data points obtained from micro-photoluminescence spectroscopy, machine vision, and photoluminescence spectra fitting parameters.
DOI: 10.5281/zenodo.7860415
title: Dataset: Scatter of mechanical properties of 2D biaxial and triaxial braided reinforced composites and their correlation with visual features

description: The data represents tensile tests of 2D braided biaxial and triaxial composite laminates. Braids were produced on a Herzog radial braiding machine RF 1-176-100 with carbon fiber yarns (Toho Tenax F13 HTS40 12K 800 tex). Test laminates are infused with a VARI process with the 2-component epoxy resin system Hexion RIM235/RIMH237. The infusion is performed at vacuum pressure leves of 20-30 mbar and the resin is cured at room temperature for 24 hours at a pressure level of 250 mbar. A subsequent post-cure step maximizes matrix properties at 70°C for 10 hours.<br> The braid setups have been chosen to achieve four different braids with a fiber angle of 45° on braid mandrels with a diameter of 120 mm, two biaxial ones and two triaxial ones. By using different sizes of braiding ring diameters and yarn forces, homogeneous and inhomogeneous fiber architectures are generated.<br> Braiding setups 1 (biaxial) and 2 (triaxial) with 130 mm braiding ring diameter and 350 g yarn force result in braids with homogeneous fiber architecture. 3 (biaxial, 400 mm braiding ring, 600 g yarn force) and 4 (triaxial, 250 mm braiding ring, 600 g yarn force) in braids with inhomogeneous scattering of visual characteristics. Single layers are braided on mandrels with a length of 1500 mm and laminates with 6 layers of biaxial and 4 layers of triaxial braids are subsequently infused.<br> Tensile tests are performed on a Schenck-Trebel RM250 universal testing machine according to AITM 1-0007. For each specimen, the individual fiber orientation in each layer is measured prior to infusion by image analysis performed on scans of the braided layers. The results show a strong dependence of the individual fiber orientation of single test specimens on their mechanical properties in case of the presented tensile tests
DOI: 10.5281/zenodo.7860414
title: Dataset: Scatter of mechanical properties of 2D biaxial and triaxial braided reinforced composites and their correlation with visual features

description: The data represents tensile tests of 2D braided biaxial and triaxial composite laminates. Braids were produced on a Herzog radial braiding machine RF 1-176-100 with carbon fiber yarns (Toho Tenax F13 HTS40 12K 800 tex). Test laminates are infused with a VARI process with the 2-component epoxy resin system Hexion RIM235/RIMH237. The infusion is performed at vacuum pressure leves of 20-30 mbar and the resin is cured at room temperature for 24 hours at a pressure level of 250 mbar. A subsequent post-cure step maximizes matrix properties at 70°C for 10 hours.<br> The braid setups have been chosen to achieve four different braids with a fiber angle of 45° on braid mandrels with a diameter of 120 mm, two biaxial ones and two triaxial ones. By using different sizes of braiding ring diameters and yarn forces, homogeneous and inhomogeneous fiber architectures are generated.<br> Braiding setups 1 (biaxial) and 2 (triaxial) with 130 mm braiding ring diameter and 350 g yarn force result in braids with homogeneous fiber architecture. 3 (biaxial, 400 mm braiding ring, 600 g yarn force) and 4 (triaxial, 250 mm braiding ring, 600 g yarn force) in braids with inhomogeneous scattering of visual characteristics. Single layers are braided on mandrels with a length of 1500 mm and laminates with 6 layers of biaxial and 4 layers of triaxial braids are subsequently infused.<br> Tensile tests are performed on a Schenck-Trebel RM250 universal testing machine according to AITM 1-0007. For each specimen, the individual fiber orientation in each layer is measured prior to infusion by image analysis performed on scans of the braided layers. The results show a strong dependence of the individual fiber orientation of single test specimens on their mechanical properties in case of the presented tensile tests
DOI: 10.17632/p86fm2h39s.1
title: Concrete Crack images for segmentation

description: This is a concrete crack dataset for segmentation. It is partially from Ozgenel FÇ. Concrete crack segmentation dataset. Mendeley Data 2019; 1: DOI: 10.17632/jwsn7tfbrp.1. and @article{liu2019deepcrack,
  title={DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation},
  author={Liu, Yahui and Yao, Jian and Lu, Xiaohu and Xie, Renping and Li, Li},
  journal={Neurocomputing},
  volume={338},
  pages={139--153},
  year={2019},
  doi={10.1016/j.neucom.2019.01.036}
}
DOI: 10.5281/zenodo.7861614
title: Assessing Eolian Snow Redistribution in Din-Gad Catchment, Central Himalaya, using Remote Sensing and Modelling

description: This directory contains files related to the MSc graduation research project of Luc van Dijk of the Department of Physical Geography, Utrecht University. The project is titled "<em>Assessing Eolian Snow Redistribution in Din-Gad Catchment, Central Himalaya, using Remote Sensing and Modelling</em>" and was completed on April 14, 2023. Below is a description of the files in this directory. <strong>Satellite_imagery.zip</strong><br> Folder containing all the pre-processed satellite images, that were exported from Google Earth Engine. Additional to the standard image bands, the bands 'NDSI', 'SC' and 'ASI' are present. These describe the Normalized Difference Snow Index, the Snow Cover and the Avalanche Susceptibility Index, respectively. The Google Earth Engine pre-processing script can be found here: https://code.earthengine.google.com/b7fe3ca48de410c9a3fff842f88a1e7f <strong>SPHY_output_SnowStorage.zip</strong><br> Folder containing the SPHY output maps (variable: SnowStorage in mm) of the study domain. <strong>SRCM.py</strong><br> The python-based Snow Redistribution Classification Model. <strong>SRCM_output.zip</strong><br> Folder containing the SRCM output files. Each file has 8 bands: (1) snowmelt, (2) snow removal by avalanching, (3) eolian snow removal, (4) unexplained snow removal, (5) snowfall, (6) snow deposition by avalanching, (7) eolian snow deposition, (8) unexplained snow deposition. <strong>SRCM_output_aggregated_wind_heatmaps.zip</strong><br> Folder containing the results of SRCM_output.zip, but only bands 3 and 7 and aggregated per month. <strong>WindNinja_output_resampled.zip</strong><br> Folder containing the wind fields that were downscaled from ERA5-Land data using WindNinja. The wind fields were converted from vector (speed, direction), to 2-band raster layers (speed, direction) and resampled from 100 m to 30 m resolution.
description: hydrology, snow dynamics, snow redistribution, wind fields, remote sensing, modelling
DOI: 10.5281/zenodo.7861613
title: Assessing Eolian Snow Redistribution in Din-Gad Catchment, Central Himalaya, using Remote Sensing and Modelling

description: This directory contains files related to the MSc graduation research project of Luc van Dijk of the Department of Physical Geography, Utrecht University. The project is titled "<em>Assessing Eolian Snow Redistribution in Din-Gad Catchment, Central Himalaya, using Remote Sensing and Modelling</em>" and was completed on April 14, 2023. Below is a description of the files in this directory. <strong>Satellite_imagery.zip</strong><br> Folder containing all the pre-processed satellite images, that were exported from Google Earth Engine. Additional to the standard image bands, the bands 'NDSI', 'SC' and 'ASI' are present. These describe the Normalized Difference Snow Index, the Snow Cover and the Avalanche Susceptibility Index, respectively. The Google Earth Engine pre-processing script can be found here: https://code.earthengine.google.com/b7fe3ca48de410c9a3fff842f88a1e7f <strong>SPHY_output_SnowStorage.zip</strong><br> Folder containing the SPHY output maps (variable: SnowStorage in mm) of the study domain. <strong>SRCM.py</strong><br> The python-based Snow Redistribution Classification Model. <strong>SRCM_output.zip</strong><br> Folder containing the SRCM output files. Each file has 8 bands: (1) snowmelt, (2) snow removal by avalanching, (3) eolian snow removal, (4) unexplained snow removal, (5) snowfall, (6) snow deposition by avalanching, (7) eolian snow deposition, (8) unexplained snow deposition. <strong>SRCM_output_aggregated_wind_heatmaps.zip</strong><br> Folder containing the results of SRCM_output.zip, but only bands 3 and 7 and aggregated per month. <strong>WindNinja_output_resampled.zip</strong><br> Folder containing the wind fields that were downscaled from ERA5-Land data using WindNinja. The wind fields were converted from vector (speed, direction), to 2-band raster layers (speed, direction) and resampled from 100 m to 30 m resolution.
description: hydrology, snow dynamics, snow redistribution, wind fields, remote sensing, modelling
DOI: 10.5281/zenodo.7861809
title: Mesh dogbone

description: Mesh
DOI: 10.5281/zenodo.7861808
title: Mesh dogbone

description: Mesh
DOI: 10.5519/qd.nk6wa07v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7861789
title: Dual electrical source-based SNMR

description: Data corresponding to a dual electrical source-based SNMR manuscript discussing an approach for deep water simulations.
DOI: 10.5281/zenodo.7861788
title: Dual electrical source-based SNMR

description: Data corresponding to a dual electrical source-based SNMR manuscript discussing an approach for deep water simulations.
DOI: 10.5285/dc8c92a8-c6e0-4edb-97da-5462f4310a9d
title: Sedimentological data (foraminifera, wet bulk density and magnetic susceptibility) for core LC7 sediment record from Blaso, a large, epishelf lake in NW Greenland collected July-August 2017

description: The dataset comprises multi-proxy analyses of a sediment core (LC7) extracted from Blaso, a large epishelf lake on the margin of 79 ° N Ice Shelf, NW Greenland in July-August 2017. The data are used to constrain ice shelf dynamics over the last 8500 calibrated years before present (cal. years B.P., where present is A.D. 1950). A 2 m-long sediment core was recovered with a UWITEC KOL 'Kolbenlot' percussion piston corer to a total sediment depth of 3.74 m. Core LC7: 87 m water depth; 79.589 ° N, 22.494 ° E. Sedimentological data for the LC7 sediment record consists of physical properties (magnetic susceptibility, wet bulk density) and foraminifera data.
description: A 2 m-long sediment core was recovered with a UWITEC KOL 'Kolbenlot' percussion piston corer to a total sediment depth of 3.74 m (LC7) in Blaso (LC7: 79°35.340N, 22°29.640E, 87m). Physical properties (magnetic susceptibility, wet bulk density) were measured on whole core using a GEOTEK multi-sensor core logger (MSCL) at the Department of Geography, Durham University, to characterise lithological properties and infer the depositional environment(s). Core sections were then split, described and sub-sampled. 1 cm thick sediment slices were taken every 10-20 cm. A total of 6 (LC7) samples were processed for foraminiferal analysis to reconstruct the environmental conditions in Blaso. Sample volume varied between 0.5 and 5 ml (cm^3) depending on average foraminiferal concentration (estimated based on initial scanning of samples). The variation in sample size was designed to allow 300 to 500 specimens to be counted from all samples. Once extracted samples were soaked in deionized water for several hours to help disaggregate the sediment. Samples were then washed through a 500 µm and 63 µm mesh sieve to concentrate the foraminifera. The material collected on the 63 µm mesh sieve were retained for foraminiferal analysis. Foraminifera were identified and counted from the wet residue under a binocular microscope.
description: UWITEC KOL 'Kolbenlot' percussion piston corer GEOTEK multi-sensor core logger Binocular microscope