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45 results for “residential data”

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zenodo24/100

HOUSEFUL - Sensors data & electrical consumption of residential buildings

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo24/100

urbisphere_de-berlin_UR-3: Gridded residential population data for Berlin and parts of Brandenburg, Germany

<h2>Files in this archive&nbsp;</h2> <ul> <li>respop_300m_grid_Berlin_Brandenburg.zip <ul> <li>Residential population numbers in 300-m grid-boxes covering Berlin and parts of Brandenburg, Germany</li> <li>Polygons, ESRI shapefile format (*.shp, *.shx, *.cpg, *.dbf, *.prj)</li> </ul> </li> <li>code.zip&nbsp; <ul> <li>Code to produce the dataset (Python3)</li> </ul> </li> <li>urbisphere_de-berlin_UR-3.pdf&nbsp; <ul> <li>Documentation</li> </ul> </li> </ul> <h2>Data purpose&nbsp;</h2> <p>Dataset contains residential population numbers and densities for Berlin and Brandenburg, Germany, aggregated to regular grids of ~300 m horizontal resolution for 2021. The data support <em>urbisphere</em>&ndash;Berlin characterisation of observations undertaken in the region and modelling activities.&nbsp;</p> <h3>Linked with</h3> <ul> <li>Glazer et al. 2024. urbisphere_de-berlin_UR-1:&nbsp;<em>urbispher</em>e-Berlin Model grids defined for use with the Unified Model (UM). <em>urbisphere</em>&ndash;Berlin Data Release and Technical Documentation [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10889490</li> <li>Hertwig et al. 2024. urbisphere_de-berlin_UR-2: Gridded building volumes for Berlin and parts of Brandenburg, Germany.&nbsp;<em>urbisphere</em>&ndash;Berlin Data Release and Technical Documentation [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10889609</li> </ul> <p>&nbsp;</p>

embargoedcc-by-4.0Mar 2024View details →
zenodo24/100

Grey-brick buildings, an open data set of calibrated RC models of Dutch residential building heat dynamics

<p>Building thermal modeling is the founding stone upon which numerous carbon reduction strategies in the building sector are built. Yet, as of today, little to no interpretable and calibrated models founded on real-world measurements have been open-sourced. This work attempts to remedy this deficiency and renders public improved results of a recently published stochastic model identification of building heat dynamics study evaluated over 225 Dutch residential buildings. Calibrated lumped resistance-capacity models are made available, along with thermal characterizations of the buildings and reported meta-data. The paper discusses how open-access building thermal models support a collection of building service applications such as building performance benchmarks, model-based control, demand-side management, policy impact assessment, and data augmentation. Insights provided present a starting point for open access benchmarks of building thermal dynamics, paving the way toward new scientific discoveries from common standards.</p>

openNov 2022View details →
zenodo20/100

Examining the influence of sociodemographics, residential segregation, and historical redlining on eBird and iNaturalist data disparities in three US cities

<p>Code and data for the manuscript "Examining the influence of sociodemographics, residential segregation, and historical redlining on eBird and iNaturalist data disparities in three US cities<strong></strong><strong>"</strong></p>

embargoedcc-by-4.0Oct 2032View details →
zenodo16/100

Code for Quantitative Assessment of Factors Influencing Heat Vulnerability in Residential Areas using Machine Learning and UAV Data

<div> <div>Author: Ja Woon Gu</div> <div>Email: umseakind2@kwater.or.kr</div> <div>Date: 2024-07-22</div> <div>Version: 1.0</div> <br> <div>Description:</div> <div>This script compares multiple regression models using GridSearchCV and RepeatedKFold cross-validation.</div> <div>The script identifies the best performing model based on the mean cross-validation score (neg_mean_squared_error).</div> <div>It performs residual analysis including normality, homoscedasticity, and autocorrelation checks.</div> <br> <div>Models included:</div> <div>- DecisionTreeRegressor</div> <div>- ExtraTreesRegressor</div> <div>- AdaBoostRegressor</div> <div>- XGBRegressor</div> <div>- LGBMRegressor</div> <div>- CatBoostRegressor</div> <div>- RandomForestRegressor</div> <div>- GradientBoostingRegressor</div> <br> <div>The best model's feature importances are calculated and plotted.</div> <div>Residuals are analyzed using Shapiro-Wilk, Levene's, and Durbin-Watson tests.</div> </div>

restrictedcc-by-4.0Jul 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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