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84 results for “Building materials”
Estimation and mapping of the material stocks of buildings of Europe
<p>This data repository includes the results of the paper:<strong> Estimation and mapping of the material stocks of buildings of Europe: a novel nighttime lights-based approach</strong></p> <p>Link to the paper: <a href="https://doi.org/10.1016/j.resconrec.2021.105509">https://doi.org/10.1016/j.resconrec.2021.105509</a></p> <p>The data layers are in the high resolution of individual NLCs (Nighttime Light Cells) and aggregated to the standardized spatial units of NUTS2, NUTS3, and 47 countries and territories in Europe.</p> <p>Refer to SI Codebook.xls for details of the different fields within each layer.</p>
Dataset on Physics-Based Indicators for Optimizing Phase Change Material Effectiveness in Building Design
<p>This research dataset includes the results as well as the EnrgyPlus models developed to investigate and validate newly proposed indicators to quantify the effectiveness of phase change materials in buildings.</p>
Emissions from building materials - concentration of micropollutants and heavy metals in stormwater runoff of two new development areas in Berlin (Germany)
<p>This dataset includes concentrations of micropollutants (27) and heavy metals (7) for stormwater runoff from different sampling points at two test sites (A and B) in Berlin, Germany. Both sites are new development areas of similar size that were both constructed in 2017 (1 – 1.5 years prior to the start of the monitoring campaign). Composite samples of individual rain events were taken at three sampling points of each test site: façade runoff, roof runoff and corresponding stormwater runoff from the catchment area. Samples were taken as part of the research project BaSaR (<a href="http://www.kompetenz-wasser.de/en/forschung/projekte/basar/">www.kompetenz-wasser.de/en/forschung/projekte/basar/</a>) of Kompetenzzentrum Wasser Berlin, Ostschweizer Fachhochschule and Berliner Wasserbetriebe. More information including sampling and analytical methods are detailed in the corresponding journal paper "Emissions from building materials – a thread for the environment?", submitted to the MDPI-journal <em>Water</em>.</p> <p><strong>Description of fields:</strong></p> <ul> <li><strong>SiteID</strong>: site identifier <ul> <li>A: new development site with typical architecture for multi-storey apartment buildings with plastered and painted facades in northern part of Berlin (124 apartments)</li> <li>B: new development site with typical architecture for multi-storey apartment buildings with plastered and painted facades in southeastern part of Berlin (122 appartments)</li> </ul> </li> <li><strong>SamplingPoint</strong> <ul> <li>facade runoff: runoff from plastered facade collected with gutters during individual rain events</li> <li>roof runoff: roof runoff collected from one downpipe during individual rain events</li> <li>storm sewer: stormwater runoff sampled during individual rain events in a manhole receiving runoff from the entire catchment (A or B)</li> </ul> </li> <li><strong>LocalDateTime_StartRain</strong>: start time of sampled rain event (CET / CEST)</li> <li><strong>LocalDateTime_EndRain</strong>: end time of sampled rain event (CET / CEST)</li> <li><strong>CardinalDirection</strong>: only relevant for facade runoff <ul> <li>N: runoff from facade oriented to the north</li> <li>W: runoff from facade oriented to the west</li> </ul> </li> <li><strong>VariableName</strong>: name of analysed substance/parameter</li> <li><strong>CensorCode</strong>: either "lt" (less than) for concentration below detection limit (value is detection limit) or "nc" (not censored) for concentration above detection limit</li> <li><strong>UnitsAbbreviation</strong>: either "ug/L" (microgram per litre) or "mg/L" (milligram per litre)</li> <li><strong>DataValue</strong>: measured value (if censor code is lt, value indicates detection limit)</li> </ul> <p>One data file is provided in comma separated format:<br> "BaSaR_data.csv" contains concentrations of all samples.</p>
Dataset of EnergyPlus models to evaluate the impact of modeling the hysteresis phenomenon of phase change materials on the building energy performance
<p>This dataset is the research data generated to evaluate the impact of modeling the hysteresis phenomenon of phase change materials (PCM) on the building performance simulation, which includes:<br> - A series of EnergyPlus models representing the medium office of the Prototype Building Models developed by DOE. These are the original model without PCM (Baseline), and four models with different PCM modeling approaches (melting-curve, solidification-curve, mean-curve, hysteresis-model).<br> - The typical meteorological year (TMY) for Frankfurt city that was used to obtain the results, which is freely provided by Climate.One.Building.Org repository (https://climate.onebuilding.org/).</p>
Dataset of multi-objective optimization results for a new latent energy storage approach in buildings based on several phase change materials with different melting temperatures
<p>This dataset comprises the multi-objective optimization results obtained for a new latent energy storage approach based on several phase change materials (PCMs) with different melting temperatures in buildings. The results were obtained for a small office building in eight climate-representative locations according to the ASHRAE 169-2020 climate classification and within the WMO Region VI (Europe).</p> <p>The dataset contains:</p> <p>- The EnergyPlus baseline models employed as a case study for each climate.</p> <p>- The Pareto fronts obtained after the multi-objective optimization in each climate.</p> <p>- The EnergyPlus models for the best designs achieved on the Pareto fronts in terms of annual total load reductions.</p>
Building a data curation pipeline for complex diseases: the case of Major Depression - Supplementary Material
<p>This entry contains the data generated by the study "Building a data curation pipeline for complex diseases: the case of Major Depression".</p>
Dataset for BRDF representation in response to the build orientation in 3D-printed digital materials
<p>This dataset folder contains data for the project "BRDF representation in response to the build orientation in 3D-printed digital materials"<br> For more information please contact Ali Payami Golhin (payami.ag@gmail.com)</p> <p>Abbreviations:<br> C:Cyan; M:Magenta; Y:Yellow; K:Black<br> GoG: Glossy on Glossy finish; GoM: Glossy on Matte finish</p> <p>Folder "Color values": presents data for CIEXYZ, CIELab, CIELCh for 328 measurement geometries for each CMYK resins<br> Folder "Spectral data": presents reflctance data for 328 measurement geometries for each CMYK resins. The first column in each file represent wavelength (nm) and the second column contains spectral data<br> File "PCA.xlsx": presents PCA (PC1) scores for CMYK colors</p>
Regional Assessment of buildings' Material Intensities (RASMI): Version 20230905: first public release B - data only
<p><strong>Version 20230905: first public release of RASMI (Regional Assessment of buildings' Material Intensities).</strong></p> <p>This Zenodo version contains two files:</p> <ul> <li><code>MI_ranges_20230905.xlsx</code> is the dataset of the estimated MI ranges. <em><strong>This is probably the file you're looking for.</strong></em></li> <li><code>MI_data_20230905.xlsx</code> is the raw pools of MI used to create the MI ranges. This is mostly for reproducability.</li> </ul> <p>Please refer to the GitHub readme.md in <a href="https://github.com/TomerFishman/MaterialIntensityEstimator">https://github.com/TomerFishman/MaterialIntensityEstimator</a> for details and how to use.</p> <p>Please cite both the Data Descriptor and the specific data version used:</p> <p>Data Descriptor: Tomer Fishman, Alessio Mastrucci, Yoav Peled, Shoshanna Saxe, Bas van Ruijven. <em>RASMI: Global Ranges of Building Material Intensities Differentiated by Region, Structure, and Function</em>. Scientific Data 2024, 11 (1), 418. <a href="https://doi.org/10.1038/s41597-024-03190-7" rel="nofollow">https://doi.org/10.1038/s41597-024-03190-7</a>.</p> <p>Data version: preferably use the DOI of the Zeonodo release. Refer to the release number (on the right)</p> <p>This work was conducted with support by the IIASA-Israel program, and by the Israel Science Foundation project RUSTY (grant no. 2706/19). Funding was also provided by the Horizon Europe research and innovation programme under grant agreement no. 101056868 (CIRCOMOD) for TF and grant agreement No 101056810 (CircEUlar) for AM. Opinions are those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for this. BvR and AM have been supported by the Energy Demand changes Induced by Technological and Social innovations (EDITS) project, which is an initiative coordinated by the Research Institute of Innovative Technology for the Earth (RITE) and the International Institute for Applied Systems Analysis (IIASA), and funded by the Ministry of Economy, Trade, and Industry (METI), Japan. SS was supported by the Canada Research Chair in Sustainable Infrastructure, Grant Number: 232970.</p>
"How much OWL do you need to know to make sense of building ontologies?" supplementary material
<p>This records contains the ontologies analized in the “How much OWL do you need to know to make sense of building ontologies?” paper presented at “LDAC2024 - Linked Data in Architecture and Construction” workshop. It also includes the resulting estructures and patterns identified as well as a library of graphical pattersn generated with the Chowlk notation (https://chowlk.linkeddata.es/).</p>
Cost and cost distribution of policy-driven investments in decentralized heating systems in residential buildings in Germany - Supplementary material
<p>This repository holds supplementary material for research concerning the <em>Cost and cost distribution of policy-driven investments in decentralized heating systems in residential buildings in Germany</em></p> <p>which was published as a working paper as</p> <p>Czock, Berit, Cordelia Frings, and Fabian Arnold. <em>Cost and cost distribution of policy-driven investments in decentralized heating systems in residential buildings in Germany</em>. No. 2024-4. Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), 2024.</p> <p>and is available at</p> <p>https://www.ewi.uni-koeln.de/de/publikationen/cost-and-cost-distribution-of-policy-driven-investments-in-decentralized-heating-systems-in-residential-buildings-in-germany/</p> <p>This repository includes the following documents</p> <ol> <li>building list</li> <li>description of technical and economic assumptions</li> <li>detailed description of results</li> </ol> <p>Further material can be made available on request.</p> <p> </p> <p> </p> <div> <p>Cost and cost distribution of policy-driven investments in decentralized heating systems in residential buildings in Germany - Supplementary material Creators Czock, Berit1 © 2024 by Berit Hanna Czock is licensed under <a href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer"> CC BY 4.0 </a></p> </div>
Supplemental material to the paper: Incorporating epistemic uncertainty in the assessment of an existing masonry building through a Point Estimate Method
<p>This repository contains the meterials used to study numerically the effect of model uncertainties in the seismic assessment of a case-study stone masonry building. The simulations were run in the research version of the software <a href="http://www.tremuri.com/">Tremuri</a>. The repository contains input files, model results and the matlab code to reproduce the figures presented in the paper:</p> <blockquote> <p>Vanin F., Beyer K., "Incorporating epistemic uncertainty in the assessment of an existing masonry building through a Point Estimate Method", submitted for publication (2019)</p> </blockquote>
Humidity and temperature influence on the self-cleaning performance of building materials containing the photocatalysts
<p>Datasets for article Humidity and temperature influence on the self-cleaning performance of building materials containing the photocatalysts</p>
An Alkali-Activated Concrete Dataset for Sustainable Building Materials
<ul> <li>Size: 1630 mixes of alkali-activated concretes </li> <li>Material type: Alkali-activated concretes</li> <li>Features: <ul> <li>Molecular composition of the binder powder</li> <li>Weights of precursor types</li> <li>Aggregate weights</li> <li>Alkali solution chemical composition</li> <li>Amount of additional water/superplasticizer</li> <li>Curing process</li> </ul> </li> <li>Properties: <ul> <li>Compressive strengths of each mix.</li> <li>Other mechanical and structural properties (not for each mix) </li> <li>Corresponding CO2 footprints, calculated using an approach that takes into account constituent CO2 footprint values of the mix's constituents obtained from literature, as well as a linear regression of the CO2 footprint due to oven curing</li> </ul> </li> <li>Use: Valuable for selecting alkali activated concrete mixes for various applications as both compressive strength and CO2 emissions are critical factors. Aimed at facilitating the development of sustainable and environmentally friendly construction materials.</li> </ul>
Data Sources for Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries
<p><strong>Dataset Name:</strong><br> <em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries</em>.</p> <p><strong>Description:</strong><br> This dataset includes Excel sheets containing literature sources and archetypal data on GCC countries' residential dwelling typologies.</p> <p><strong>Files:</strong><br> The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li> <em>[CountryName]_Schedules.xlsx:</em> Excel sheet containing the operation schedules for countries. The sheet is compiled from literature sources and reorganized by expert consensus and given in Designbuilder input format,</li> <li> <em>[CountryName]_Stock.xlsx:</em> Excel sheet containing additional data on the building stock,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> </ul> <p><strong>Usage:</strong><br> The dataset is intended for researching and analyzing the GCC countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br> The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br> If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Chibuikem Chrysogonus Nwagwu, Niko Heeren, and Edgar Hertwich. 2023. “Archetype-Based Energy and Material Use Estimation for the Residential Buildings in Arab Gulf Countries.” Energy and Buildings 298: 113537. https://doi.org/https://doi.org/10.1016/j.enbuild.2023.113537.</p> <p><strong>Contact:</strong><br> The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>
Supplementary materials for: Lost Loops: 19th century thermosiphon ventilation and its potential for heat recovery in buildings today
<p>We investigate ventilation heat recovery with buoyancy flow, arranging interior spaces in an open thermal loop with heat exchange through partition walls. We draw inspiration from a Victorian-era thermosiphon scheme after finding it in Montreal's former Royal Victoria Hospital and tracing the concept back to the original Centre Block of Canada's Parliament Hill. We corroborate the archival evidence with analog models to visualize how the original hospital's ventilation system worked. We use saline baths to verify how the siphon functioned and digital Schlieren to confirm how the full flow cycle worked with heat recovery. Then, to generalize these observations, we develop a mathematical model showing how heat recovery with buoyancy ventilation can work in simple room arrangements. We define a criterion for stable, unidirectional flow and a heat recovery efficiency limit of 50%. Finally, we validate the mathematical model experimentally, demonstrating stable, one-way flow close to the heat recovery limit.</p>
Material factors for buildings, roads and rail-based infrastructure in CONUS
<p>Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. The data presented hereinafter constitute that basis for quantifying material stocks in a country that exhibits one of the highest material stocks in the world, the United States.</p><p><strong>Data</strong><br>This dataset includes the following material intensities:</p><ul><li>material intensity in mass per volume of above-ground building (kg/m³) per building type</li><li>material intensity in mass per area of road (kg/m²) per road type</li><li>material intensity in mass per area of railway track (kg/m²) per railway type</li><li>material intensity in mass per area (kg/m²) per other infrastructure type</li></ul><p>Material intensity factors are split into the following 15 material categories: metals (iron/steel, copper, aluminum, all other metals), non-metallic minerals (concrete, bricks, glass, aggregate except for concrete, all other minerals), biomass-based materials (timber, other biomass-based materials), petrochemical-based materials (bitumen, other petrochemical-based materials), insulation, and other materials. </p><p>Material intensity factors are available for each of the following 19 aggregated stock type categories: </p><ul><li><i>Buildings</i>: low-rise residential (RES-LR), mid-rise residential (RES-MR), low/mid-rise residential / commercial mixed use (RCMU), high-rise residential / commercial mixed use (RCMU-HR), residential / commercial mixed use skyscrapers (RCMU-SKY), commercial / industrial (C/I), and mobile homes and light-weight buildings (MLB)</li><li><i>Roads</i>: motorway, primary roads, secondary roads, tertiary roads, local roads, rural roads</li><li><i>Rail-based infrastructure</i>: railway, subway, tram</li><li><i>Other</i>: airport runways, parking lots, other remaining impervious</li></ul><p>Since construction standards for residential buildings and gravel roads vary between different climate zones across the conterminous United States, material intensities for low-rise residential buildings (RES-LR), local roads and tracks were further differentiated according to climate zones.</p><p>The dataset provides three sets of material intensity factors for sensitivity purposes: mean, low, and high. Low and high material intensity factors represent 25th and 75th percentiles of data points per material category and stock type. </p><p>In addition, the following building volume conversion factors required for deriving material intensity factors for buildings are included in the dataset:</p><ul><li>floor-to-floor height per building type</li><li>roof volume factors (m³/m² footprint) per building type</li><li>share of useable area (SUA) in gross floor area per building type</li></ul><p>Building volume conversion factors are based on Haberl et al. (2021) and were used in the calculation of the above-ground volume for those case studies where either the floor-to-floor height or information regarding the roof volume were unavailable, or where only the UA, but not the GFA necessary for the calculation of the above-ground volume were specified.</p><p><strong>Further information</strong><br>The dataset complements a scientific article which includes further information and an in-depth dataset description. For further information, please see the publication below or contact Dominik Wiedenhofer (dominik.wiedenhofer@boku.ac.at). <br><br>D. Frantz, F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gomez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, H. Haberl, Unveiling patterns in human dominated landscapes through mapping the mass of US built structures. <i>Nat Commun</i>. <strong>14</strong>, 8014 (2023), doi: <a href="https://doi.org/10.1038/s41467-023-43755-5">10.1038/s41467-023-43755-5</a><br><br>Check out this peer-reviewed article detailing the overall approach and novel method:</p><p>H. Haberl, D. Wiedenhofer, F. Schug, D. Frantz, D. Virág, C. Plutzar, K. Gruhler, J. Lederer, G. Schiller, T. Fishman, M. Lanau, A. Gattringer, T. Kemper, G. Liu, H. Tanikawa, S. van der Linden, P. Hostert, High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany. <i>Environ Sci Technol</i>. <strong>55</strong>, 3368–3379 (2021), doi:<a href="https://doi.org/10.1021/acs.est.0c05642">10.1021/acs.est.0c05642</a></p><p>Visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website</a> to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</p><p><strong>Funding</strong><br>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). </p>
"It was recorded on Sunday, morning of the 28th of September as some of the slower runners of the Berlin Marathon made it past Torstrasse near my flat. Iwas out to buy some bread for breakfast, but Iusually bring a camera and my Edirol R-1 recorder whenever Igo out. Since Iwas freshly returned to Berlin Iguess Iwas sensitive to the more antiquated sounds which still survive there, like that of the organ grinder. Iam generally interested in how human beings are replacing the presence of Nature with an artificial environment made entirely by human hands (and thus far more understandable, it is hoped). In this new Human Nature, the sounds of Nature are also Human made. Iwrite about these things, but Ialso use the sounds in my videos and my interactive and generative media work, so generally Iam wandering around building up my archive of media documents for use as material in future works." [Baruch/ gottlieb]17 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"It was recorded on Sunday, morning of the 28th of September as some of the slower runners of the Berlin Marathon made it past Torstrasse near my flat. Iwas out to buy some bread for breakfast, but Iusually bring a camera and my Edirol R-1 recorder whenever Igo out. Since Iwas freshly returned to Berlin Iguess Iwas sensitive to the more antiquated sounds which still survive there, like that of the organ grinder. Iam generally interested in how human beings are replacing the presence of Nature with an artificial environment made entirely by human hands (and thus far more understandable, it is hoped). In this new Human Nature, the sounds of Nature are also Human made. Iwrite about these things, but Ialso use the sounds in my videos and my interactive and generative media work, so generally Iam wandering around building up my archive of media documents for use as material in future works." [Baruch/ gottlieb]17
Causes and consequences of material variation in avian nest building
Open the record for dataset details and reuse information.
Supplementary materials for: Lost Loops: 19th century thermosiphon ventilation and its potential for heat recovery in buildings today
Open the record for dataset details and reuse information.
Self-Organized Construction with Continuous Building Material: Higher Flexibility based on Braided Structures
<p>Paper material.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.