cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/uuid:3c7d3086-bfec-407d-a33c-0a7a9c8d7ec0
title: MTL Music Representation, data underlying the publication: One deep music representation to rule them all? A comparative analysis of different representation learning strategies

description: MTL Music Representation dataset is the collection of 384 neural network that are trained on 8 learning tasks and datasets (learning sources) from music domain. The data used in the training consists of subset of the Million Song Dataset (MSD). The neural network architecture is based on the VGG architecture. To host multiple learning sources, we adopted multi-task architecture where the task-specific layers branches out from the shared layer. Main dataset file consists of multiple directories, where the model checkpoint and the learning curve data is saved in two separate files. Each model parameter is saved in compressed binary file serialized by the `Pytorch` python package. Each learning curve data is saved in `.csv` file with the model idenfier, where each row indicates individual record for the loss function for either training or validation. We are planning to provide a number of utilities for instance: 1) extracting features for given audio file 2) visualizing and save the learning curves. For more information, please visit our github page.
DOI: 10.4121/uuid:ffaeb9fc-9baf-428e-8a33-7e4b451d8f9e
title: 500 microkelvin nanoelectronics, raw data and scripts

description: Raw data and scripts that belong to the paper "500 microkelvin nanoelectronics". For usage instructions, see readme.txt.
DOI: 10.4121/uuid:19cafe4a-8398-4612-9a65-4e250050d377
title: CT scan data of jetted boreholes

description: CT scan data (raw files: .IMA), derived from a medical grade CT scanner as installed at the TU Delft GSE laboratory (Siemens Somatom Volume Zoom). Imaged samples depict borehole geometries produced by water jet drilling under mechanical stress using a true triaxial apparatus. Details on experimental conditions for each test can be found in Bakker et al., "A laboratory study on radial jet drilling in true triaxial stress conditions" (in prep). Image slices (format: .IMA) can be opened with for example imageJ (load stack) or Avizo (import image stack). All slices have individual metadata on acquisition parameters. pixelsize: 0.293 mm/pixel, slice-distance: 0.6 mm.
DOI: 10.4121/uuid:a85de29f-ee38-4af4-a6c0-6107e42c5cef
title: Tomato plant spider mite damage images

description: Image dataset of tomato plants in Belgian greenhouse. The tomato plants were infested with spider mites. Some of the leaves contain spider mite damage. Image locations with spider mite damage have been annotated by human expert annotations.
DOI: 10.4121/uuid:5fab8273-8794-4cd7-96d4-ba8ec00a62cf
title: Data underlying the paper Ballistic superconductivity and tunable pi-junctions in InSb quantum wells

description: We provide all data for the paper in title "Ballistic superconductivity and tunable pi-junctions in InSb quantum wells"
DOI: 10.4121/uuid:8a51631a-a18e-4737-9757-6d325d8733c0
title: Data underlying the article: Composite layup effect on the failure mechanism of single lap bonded joints

description: Single lap bonded joints with four different composite adherend stacking sequences were tested and numerically simulated. The aim was to evaluate the effect of the layups on the quasi-static tensile failure of the bonded joints. The study shows that increasing the adherends bending stiffness postpones the damage initiation in the joint. However, this is no longer valid for final failure. The ultimate load is influenced by how the damage progresses. For similar bending stiffness, a layup that leads to the crack propagating from the adhesive towards the inside layers of the composite increases the ultimate load. The failure mode is highly influenced by the orientation of the interface lamina in contact with the adhesive, such that, a 0 interface ply causes failure within the bond line, while a 90 interface ply causes failure inside the composite adherend. Finally, it is concluded that a quasi-isotropic layup may not be the best choice in terms of tensile joint strength. In order to improve tensile strength up to damage initiation, the layup should be optimized for bending stiffness, while up to final failure, a stacking sequence that yields to a complex crack path inside the composite can lead to higher ultimate loads.
DOI: 10.4121/uuid:0120f3c6-cfa6-42a5-84bf-d9e598283c59
title: Data supporting the research of: Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling

description: Tree architecture influences physical and ecological processes within the tree. Prior work suggested the existence of general principles which govern these processes. Among these, the West, Brown and Enquist (WBE) theory is prominent; it holds that biological function has its origin in a tree's idealized branching system network; from which scaling exponents can be estimated. The scaling exponents of the WBE theory (branch radius scaling ratio, “a” and branch length scaling ratio “b”) can be derived from branch parameters and from these, metabolic scaling rate “ö” can be derived. Until now, branch parameter values are taken from direct measurements; either from standing trees or from harvested trees. Such measurements are time consuming, labour intensive and susceptible to subjective errors. Terrestrial LiDAR (TLS) is a promising alternative, being both less biased to error, scalable, and being able to collect large quantities of data without the need of destructive sampling the trees. In this thesis we estimated scaling exponents and derived metabolic rate from TLS and quantitative structure models (TreeQSM) models from nine trees in a tropical forest in Guyana. To validate these TLS-derived scaling exponents, we compared them with scaling exponents and derived metabolic rate from field measurements at three levels: branch-level, tree-level and plot-level. For that, we destructive sampled the scanned trees and measured all branches &gt; 10 cm. Our results show that, with some limitations, radius, length scaling exponents and architecture-based metabolic rate can be derived from 3D data of tree point clouds. However, we found that only “ö” converged between our TreeQSM modelled and manually measured dataset at both, branch-level (0.59 and 0.50 for TreeQSM and manually measured exponent, respectively) and at tree-level (0.56 and 0.51). Our results did not support the same conclusion for “a” nor “b”- neither at branch-level nor at tree-level. The “a” diverged between TreeQSM and manually measured dataset at branch-level (0:45 and 0.63) and at the tree-level (0.46 and 0.64). The “b” was the exponent which most deviated between TreeQSM and manually measured dataset at branch-level (0.42 and 0.07) and at tree-level (0.41 and 0.05). At tree-level, we found that all estimated averaged exponents deviated significantly from metabolic scaling theory predictions (“a”=1/2 ; “b” =1/3 ; “ö”=3/4 ). Our study provides an alternative method to estimate scaling exponents variation at branch-level and tree-level in tropical forest trees without the need for destructive sampling. Although this approach is based on a limited sample of nine trees in Guyana, can be implemented for large-scale plant scaling assessments. This new data might improve our current understanding of metabolic scaling without harvesting trees.
DOI: 10.4121/uuid:4aca8e7d-7e42-448b-9a77-f62c61e85049
title: Data underlying the article: Planktonic foraminiferal spine versus shell carbonate Na incorporation in relation to salinity

description: Electron Probe Microanalysis (EPMA) data from spines, spine bases and shells
DOI: 10.4121/uuid:2b9a6683-fc9f-46c7-91d1-b03a30571402
title: Raw data, python scripts and analysed data used for investigating energy dissipation for a methodology to fatigue master curves

description: Data included in this data set are Excel files, raw and processed data from acoustic emission tests, python scripts and text files. These files were used for analysis during the master thesis for investigating energy dissipation to come to a physical explanation for fatigue behaviour in composites
DOI: 10.4121/uuid:e6d5a771-60f1-4132-8183-d3e085c22c74
title: Water Resources Research - Field Capacity

description: This paper supports the development of an innovative approach to estimate field capacity of soils, The method relies on soil characteristic length and time capillary scales for soil water drainage.
DOI: 10.4121/uuid:ea9c33f1-e9ae-4152-98df-aace2f2a1179
title: The 2010 Dengue Shock in Colombia and the Standarized Test Results in 2008-2013

description: This dataset contains the mathematics and reading z-scores of a Colombian standarized test called "Saber 11", along with students' and students' household characteristics. It includes a dummy variable equal to 1 if a student was living in a municipality for which the number of dengue cases per 100,000 inhabitants was zero in the years 2008 and 2009, but positive in the year 2010. The data covers the period 2008-2013 and it is restricted to municipalities located at or below 1,200 meters above the sea level (as dengue disease is more common at these altitudes).
DOI: 10.4121/uuid:5377e7dd-b9b6-4ede-8ef5-85b1bab27b31
title: Supplementary data for the paper “Injectivity of Multiple Gas and Liquid Slugs in SAG Foam EOR: A CT Scan Study"

description: This is a dataset for paper "Injectivity of Multiple Gas and Liquid Slugs in SAG Foam EOR: A CT Scan Study" which will appear in the conference proceedings of the European Association of Geoscientists and Engineers (EAGE) 2019 Improved Oil Recovery conference. The paper will also be submitted to publish in a journal.
DOI: 10.4121/uuid:0d7f284a-93ae-4d75-8361-984df49c2a4e
title: X-ray micro-CT scan Data of First Middle Palaeolitic tar backed tool from the Dutch North Sea

description: The data set contains X-ray micro-CT scan data of a Middle Palaeolithic tar backed tool found in the Dutch North Sea. The tool consists of an undiagnostic flint flake embedded in a thick piece of birch tar dating from the Middle Palaeolithic. It is a significant find because 1) it is the first to be discovered in the Netherlands and the 5th in Europe and 2) both the composite nature of the tool and the presence of tar which resulted from a complex transformative technology illustrates the Neandertal intellectual capacities. This is the first ever tar backed tool which has been securely dated, chemically analysed, subjected to optical microscopy wear analysis, and scanned with a X-ray micro-CT scanner. All analyses are presented and discussed in a multidisciplinary article written by Niekus et al.. The article has been submitted for review shortly after the scan data has been published in the 4TU Centre for Research Data. The micro-CT scan data which reveals the inner structure of the tar, the flint and the morphology of the flint-tar interface is presented as supplementary material to the article. The data set is made of 5 types of files: - Images of the digitally reconstructed tool in dcm format (dicom files). The images can be used to visualize the tool in 3D with public domain open source software ImageJ. They can also be further post-processed. Upon request the raw scan data (before re-construction) can be provided. - The surface meshes of the flint and the tar in obj and ud3 formats. The surfaces can be inspected separately in 3D using public domain open source software Meshlab. They can also be 3D printed. - A video in wmv format allowing to explore the inner and outer structure of the tool. - A pdf describing features displayed in the video. - A pdf containing the meta-data related to the scan and the data processing.
DOI: 10.4121/uuid:1fbfd4a0-1b7f-4dec-8097-617fea87cde5
title: Mined Object and Relational Data for Sets of Locations

description: Mined Location Object and Relation data Overview This data-set contains the mined objects and relationships from a few different data-sets comprising of annotated images (SUNRGBD) and annotated virtual environments (SUNCG). It is split up into pairwise distance/angle relationships (PAIRWISE) and higher level semantic relationships. For distance/angle relationships, the name of the file (Fisher12 or Kermani) represent the way in which they were parsed. Fisher uses Gaussian Mixture Models, and Kermani uses K-Means clustering to figure out the number of different relationships that there are. Note that there are a few changes between Kermani et al.'s original implementation and how this data-set was mined. Specifically: 1) We change the probabilities for symmetry. For scenes that have only a few examples, 0.005 is too low to be salient for anything. 2) We require a location type to have more than one example, and to have salient objects be more than one. This is not explictely stated in Kermani et al., because most scene generation methods only consider rooms that have many examples (order of 100 at least). We make having at least one location a requirement and mine on the examples that have less objects. This cuts out a few locations that have very few rooms in general. 3) We preprocess the nodes for the min-spanning tree to only consider objects whose count is above the threshold. This has the effect of making our connections more salient in general, and cleans up a bit of noise. Citations: If you find this data-set useful, please cite the original data-sets that the information came from: NYU:N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, “Indoor segmentation and support inference from rgbd images,” Computer Vision–ECCV 2012, pp. 746–760, 2012. SUN-RGBD (Note I do not include the datasets in sun-rgbd, but you should):S. Song, S. P. Lichtenberg, and J. Xiao, “Sun rgb-d: A rgb-d scene understanding benchmark suite,” presented at the Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 567–576. SUNCG:S. Song, F. Yu, A. Zeng, A. X. Chang, M. Savva, and T. Funkhouser, “Semantic Scene Completion from a Single Depth Image,” IEEE Conference on Computer Vision and Pattern Recognition, 2017. As well as the methods that they were obtained from: Fisher12-PairWise: M. Fisher, D. Ritchie, M. Savva, T. Funkhouser, and P. Hanrahan, “Example-based synthesis of 3D object arrangements,” ACM Transactions on Graphics (TOG), vol. 31, no. 6, p. 135, 2012. Kermani: Z. S. Kermani, Z. Liao, P. Tan, and H. Zhang, “Learning 3D Scene Synthesis from Annotated RGB‐D Images,” Computer Graphics Forum, vol. 35, no. 5, pp. 197–206, 2016. SceneSuggest (This paper contains the equations used in scene suggest): M. Savva, A. X. Chang, and P. Hanrahan, “Semantically-enriched 3D models for common-sense knowledge,” presented at the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015, pp. 24–31.
DOI: 10.4121/uuid:14e902b9-5c83-4f73-a342-49bb34959d43
title: Corporate Image as a Mediator PLS

description: The main purpose of our paper is to analyze the impact of service quality and corporate image on satisfaction and loyalty behavioral intention. The PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis is adopted for the exhibition industry. There are four constructs in this study. The corporate image construct includes three observed variables such as NFA image, advertising image, and NFA reputation. The service quality dimension includes five variables—tangibility, reliability, assurance, responsiveness, and empathy. The customer satisfaction construct includes three variables—payment of expenses, exhibitor performance, and overall satisfaction. The behavioral intention construct consists of two variables—loyalty and intention to pay. The questionnaires employed the Likert five-point scale, where 1 indicates strongly disagree and 5 indicates strongly agree. Total sample size is 113. This dataset obtains the key test results of examining the relations between constructs in the structural equations by using SmartPLS 3.0 in EXCEL format.
DOI: 10.4121/uuid:4e9c1af6-dcfa-4992-a18a-4b24fd5180f8
title: The physics of delamination onset in orthotropic composite laminates under mixed mode I/II loading

description: This dataset contains data collected during quasi-static delamination growth experiments at Delft University of Technology. It is made public both to act as supplementary data for publications and the PhD thesis of Zahra Daneshjoo (at Iran University of Science and Technology) and in order for other researchers to use this data in their own work.
DOI: 10.4121/uuid:b44bed89-3b9a-48fb-8758-6e2bb0d7ec72
title: Supplementary data for the article: What will the car driver do? A video-based questionnaire study on cyclists’ anticipation during safety-critical situations

description: This data set includes data for figures and statistical analyses, an online questionnaire, and supplementary materials (including an overview of the video clips, links to the exact locations of the intersection situations, and supplementary data analyses) for the paper: Kovácsová, N., De Winter, J. C. F., & Hagenzieker, M. (2019). What will the car driver do? A video-based questionnaire study on cyclists’ anticipation during safety-critical situations. Journal of Safety Research, 69, 11–21.
DOI: 10.4121/uuid:d541a402-2701-47b2-ac6a-eaaa14c8c111
title: Neodymium and strontium isotope analysis of modern human dental enamel using Thermal Ionization Mass Spectrometry (TIMS)

description: This dataset contains the numerical data underlying the publication figures and conclusions (Plomp et al. 2017, 2019).
DOI: 10.4121/uuid:2514e005-fd86-4930-83dd-0db5d8f7b5b0
title: CHASE-PL - Future Hydrology (CPL-FH); Projections of water balance and streamflow for the Vistula and Odra basins (correction of aggregated model outputs)

description: This data set is a minor correction to the original CHASE-PL Future Hydrology dataset published in 4TU Centre for Research Data in 2017 (https://doi.org/10.4121/uuid:931bc857-9261-4bd8-b76c-ce5586948df3) and described in the data descriptor article (https://www.mdpi.com/2306-5729/2/2/14). It was comprised of future projections of hydrological variables obtained with the help of the SWAT model driven with an ensemble of nine bias-corrected EURO-CORDEX climate simulations for the Vistula and Odra basins. A bug was identified in the AggregatedModelOutputs.zip file containing multi-model ensemble statistics of the relative changes in mean seasonal and annual variables developed in a GIS format. In the present version the file structure remains unchanged, while the values have been corrected. Three other major files of the CPL-FH dataset (ClimateScenarios.zip, RawModelOutputs.zip and Txtinout.zip) are not a part of this correction.
DOI: 10.4121/uuid:28636fe0-1bf3-41d7-83db-84528b7debfa
title: Data underlying the paper: Confined Electroconvective Vortices at Structured Ion Exchange Membranes

description: Image and calibration data to do PIV and FLIM analysis, electrical response data and analysis and the COMSOL model belonging to the publication: Confined Electroconvective Vortices at Structured Ion Exchange Membranes, Langmuir (2018), 34, 2455-2463
DOI: 10.4121/uuid:f8bbe41d-fe78-42e1-afd9-1e6c9c8f2d3d
title: Small wetland mesocosm data

description: The data set is associated with an invertebrate emergence experiment. This project is part of the Environmental Water Knowledge and Research (EWKR).
DOI: 10.4121/uuid:7b0c9344-632c-422c-afdd-48fdf39216fe
title: Supporting data for "Generation and control of helium-filled soap bubbles for PIV"

description: This data is a supplement of the paper "Generation and control of helium-filled soap bubbles for PIV" accepted in Experiments in Fluids, January 2019.
DOI: 10.4121/uuid:dd83df89-d97f-4ba7-9aee-12d115e7a586
title: Service Sector and Urban-Scale Energy Demand: Dataset Accompanying the PhD Thesis “Harnessing Heterogeneity - Understanding Urban Demand to Support the Energy Transition”

description: This is the dataset accompanying the PhD thesis: N. Voulis. Harnessing Heterogeneity - Understanding Urban Demand to Support the Energy Transition. PhD Thesis. Delft University of Technology. 2019. https://doi.org/10.4233/uuid:9b121e9b-bfa0-49e6-a600-5db0fbfa904e. Real urban areas consist of a mix of households, services (such as schools, offices, shops, etc.), and industry. However, most literature concerned with local energy demand simplifies it to household demand only. This is, to a large extent, cause by a lack of detailed (e.g., hourly) service sector and urban-scale energy demand data. This dataset and the accompanying thesis seek to resolve this issue. The primary focus of this dataset and the accompanying thesis is therefore on service sector and urban-scale demand data. Households are also taken into account, albeit in less detail. Households and services are often collocated in urban areas, but extensive research and data already exist for households. Industry is left out of scope. The dataset contains: - Demand profiles of 13 types of service sector consumers (hourly resolution, full year). - Demand profile of 1 type of average household consumer (hourly resolution, full year). - Demand profile of an average mix of 100 000 households and associated services, with a total annual demand of 710 GWh (hourly resolution, full year). - Demand profile of 203 005 households only, also with a total annual demand of 710 GWh (hourly resolution, full year). - Demand profiles of archetype residential, business, and mixed urban areas. Urban areas include neighbourhoods, districts, and municipalities (hourly resolution, average weekday and average weekend). - Composition of archetype residential, business, and mixed urban areas. Urban areas include neighbourhoods, districts, and municipalities. - Spreadsheet tool to estimate the average hourly demand profile of an urban area of interest, based solely on annual demand data of different consumer types. This tool is also published as an addendum to publication. All profiles pertain to the Netherlands and to the year 2014. The modelled year can be adapted as described in the input data and assumptions part. The geographic region can be adapted by repeating the research described in the thesis for another region.
DOI: 10.4121/uuid:e2c315e0-102f-45c6-b834-b89e26229265
title: Data underlying the paper: Spatiotemporal patterns of extreme sea levels along the western North-Atlantic coasts

description: ATSR (Atlantic Tide and Surge Reanalysis) provides time-series of tides and surges from 1988-2015 for the western North-Atlantic coastline. Simulations are based on the Global Tide and Surge Model version 2.0. Tropical cyclones are explicitly included based on the Extended Best Track dataset and parametric cyclone model (Holland, 1980).
DOI: 10.4121/uuid:25940631-bddf-4b4b-b055-320fa29da221
title: Hondsbossche Dunes dune valley

description: Bathymetry and topography measurements in the wet dune valley area. Collected with a single beam device from a vessel (2015-05) and collected manually with a RTK-DGPS device for multiple transects (2016/2017).
DOI: 10.4121/uuid:26a12111-6956-4302-ad63-4e0616e12102
title: Hondsbossche Dunes area type indication

description: This nc contains an area covering representation of the parts where beach (&lt; +3 m NAP) is seen and where dune is seen (&gt;= +3 m NAP), construction, beach clubs and nourishments are seen and where the dune valley with at least 1 nan value is seen
DOI: 10.4121/uuid:40413334-a412-451c-b076-e1787ee9340d
title: Hondsbossche Dunes transects

description: This nc contains repesentation on transect level of the DTM Lidar measurements, drone and dune valley measurements. Also the different area types are indicated.
DOI: 10.4121/uuid:492118d3-efa7-4890-82a3-db4611c75b14
title: Hondsbossche Dunes soil chemical data

description: Soil chemical data i.e. pH, ÊCO3, and total and available contents of elements i.e. C, N, P, Al, Ca, Mg, Fe, Mn, Na
DOI: 10.4121/uuid:58a7e47b-f548-4c86-ae29-a4d6e281982e
title: Hondsbossche Dunes vegetation data

description: Species composition of 50 permanent plots situated along 5 transects