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334 results for “household”
Waste Bin - Household Props Challenge - Day 24
Day 24 of the household props challenge- an outdoor waste bin. Constraints: * 300 Tris * Albedo and AO maps only * 256x256 texture resolution Source: Objaverse 1.0 / Sketchfab
Data for Quantifying functional group compositions of household fuel-burning emissions
<p>Data for reproduction of figures in the paper "Quantifying functional group compositions of household fuel-burning emissions"</p>
Survey on the Effects of COVID-19 on the Wellbeing of Mexico City Households (ENCOVID- 19 CDMX – DECEMBER 2020)
<p>Amid the COVID-19 outbreak, the ENCOVID-19 CDMX provides information on the well-being of Mexico City households in four main domains: labor, income, mental health, and food insecurity. It offers timely information to understand the social consequences of the pandemic and the lockdown measures. It is a cross-sectional telephone survey that, in addition to the four main domains and a set of COVID19-related questions, includes key indicators to capture the impact of the pandemic on issues like education, social programs, and crime. This is the second dataset of the project, corresponding to December 2020, collected eight months after the lockdown began in Mexico. Data collection was performed from November 29 to December 10, 2020.</p>
Fig. 1 in A new household ant record for Turkish Thrace [Monomorium pharaonis (L.)] (Hymenoptera, Formicidae)
Fig. 1: Map showing the sampling sites; • represents the ones in Turkish Thrace.
Close encounters between infants and household members measured through wearable proximity sensors
<p>The dataset contains close proximity interactions between family members of 16 households with infants younger than 6 months, recorded for 2-5 consecutive days between March 2015 and January 2016, in Rome, Italy. Data were collected trough the use of wearable proximity sensors of the SocioPatterns platform (<a href="http://sociopatterns.org">http://sociopatterns.org</a>).</p> <p>Contact events were recorded between 55 individuals: 16 infants, 4 siblings, 31 parents and 4 grandparents.</p> <p>Each line of the dataset corresponds to a contact event recorded between two sensors (sensor 1 and sensor 2). Heading labels are the following:</p> <ul> <li>ID_sensor1: anonymized ID of sensor 1;</li> <li>ID_sensor2: anonymized ID of sensor 2;</li> <li>contact_duration: duration of the contact event in seconds;</li> <li>time: date and time of the contact event;</li> <li>family_role_tag1: family role of individual wearing sensor 1;</li> <li>Household: household ID;</li> <li>family_role_tag2: family role of individual wearing sensor 2.</li> </ul> <p> </p>
The Toybox Dataset of Visual Object Transformations-Part 2: Households
<p>We introduce a new video dataset called Toybox for computer vision research. Videos in Toybox come from first-person, wearable camera recordings of common household objects and toys being manually manipulated to undergo structured transformations like rotations and translations. This is part two of the three-part dataset. Part two contains videos of household objects: ball, cup, mug, and spoon. Part one and three include toy animals and vehicles, respectively.</p>
Survey of Media Device Ownership, Media Service Usage and Group Media Consumption in UK Households
<p>Data generated from a survey produced by the authors and distributed by GfK, to gather information about: audio and audio-visual media device ownership in UK households; types of audio and audio-visual media delivery methods and services used by UK audiences; smart-device and voice-assistant ownership; individual versus household group versus visitor group weekly media consumption time. </p> <p>This forms part of the PhD research of Craig Cieciura. This was experiment-based research to determine how to render object-based audio in the domestic environment using ad-hoc, audio-capable devices.</p> <p><strong>References</strong><br> Cieciura, C., Mason, R., Coleman, P. and Paradis, M. 2018. Survey of media device ownership, media service usage, and group media consumption in UK households, Audio Engineering Society Preprint, 145th Convention, Engineering Brief 456.</p>
Households - Lighting
<p>LIGHTING</p> <p>* When using the data please refer to: Heidari, M.; van der Lans, N.; Floret, I.; <strong>Patel, M.K.</strong>: Analysis of the Energy Efficiency Potential of Household Lighting in Switzerland Using a Stock Model. Energy and Buildings158 (2018), pp. 536–548, Special Issue "Energy Efficient Lighting Strategies in buildings”</p> <p>* For background information please consult the same publication.</p> <p> </p>
Automatic System for Food Waste Assessment at Household
<p>ntroducing the Automatic System for Food Waste Assessment at Household developed under the WASTELESS project. This tool, which is tailored to everyday use, supports the measurement of food waste in households and is intended to improve and validate existing methods such as surveys. The tool includes a set of features to measure and estimate various types of food waste generated in households. The developed tool will be demonstrated on a representative sample of households to ensure its reliability and applicability. The core of this tool is a user-friendly scale complemented by a dedicated application for cell phones that enables seamless data collection and transfer to a centralized database. The data collected is then analysed and the results obtained are extrapolated to a wider population, allowing a more comprehensive evaluation of the parameters traditionally determined with questionnaires and interviews.</p>
Five-minute resolution electricity data from households on the NSW South Coast
<p>These data were collected from 37 households in the Eurobodalla region on the South Coast of NSW, Australia. Data was recorded using Wattwatcher devices that monitored the total electricity consumed by households, as well as collecting data from dedicated circuits - connected to rooftop solar systems, water heaters, and air-conditioners - if these were available.</p>
Replication package for "Wealth Taxation and Household Saving: Evidence from Assessment Discontinuities in Norway"
<p>This package contains replication files and instructions for "Wealth Taxation and Household Saving: Evidence from Assessment Discontinuities in Norway" by Marius Ring to be published in the <em>Review of Economic Studies</em>.</p>
Synthetic Fleet Generation and Vehicle Assignment to Synthetic Households for Regional and Sub-regional Sustainability Analysis
<p>This dataset provides the MOVES-Matrix emission and energy use rates for the NCST project "Synthetic Fleet Generation and Vehicle Assignment to Synthetic Households for Regional and Sub-regional Sustainability Analysis" by the Georgia Tech research team.</p> <p> </p> <p>The abstract of the project is as follows.</p> <p><span>In this study, a modeling framework was developed to generate high-resolution synthetic fleets, for use with synthetic household modeling in activity-based travel models, by integrating various data sources. The synthetic households were generated by pairing household locations and demographic attributes, and synthetic fleets were assigned to the households so that travel demand model outputs would have vehicles associated with each model-predicted tour for energy and emissions analysis. The CO emissions were modeled for each vehicle and each link traversed by vehicles as predicted by the travel demand model, and the results of the synthetic fleet (by employing Monte Carlo simulations and Bootstrap techniques) were compared with those from standard regional and sub-regional fleet configurations. The results demonstrated that using a traditional sub-regional fleet scenario produced 30% higher predicted emissions than when the synthetic fleet was employed with predicted vehicle trips, and that using a regional average fleet (applied throughout the region) produced emissions that were more than 50% higher than synthetic fleet emissions. Lowest household emissions were associated with low-income and non-working households, and highest emissions were associated with moderate-income households and one-person high-income household groups. The results presented in the research are not necessarily conclusive, because the licensed vehicle data procured for Atlanta appear to be biased toward older vehicles. Model year penetration rates are accounted for in these analyses, but the authors believe that the variability in the registration mix for newer vehicles is likely underestimated in the data procured for these analyses. The authors conclude that access to statewide registration data will be required to remove potential biases that exist in licensed private data sets. Nevertheless, the study does demonstrate that properly pairing vehicle model years with the most active households (and their daily trips) significantly impacts energy and emissions analysis.</span></p> <p> </p>
Household perceptions regarding bats and willingness to pay for their conservation within Mount Elgon Biosphere Reserve of Uganda
Open the record for dataset details and reuse information.
Micro data from the 2012 Greek Household Energy Consumption survey
<p>The dataset is a cleaned and modified version of the microdata from the 2012 Greek Household Energy Consumption survey</p>
Relationship of knowledge, attitudes, and sociodemographic factors with behavior in the management of mask waste in households
<p>The file contains raw data collected cross-sectionally in DKI Jakarta Province in October-November 2022 by distributing questionaires online using the Google form platform via social media such as Line, WhatsApp, Instagram, and Twitter. The questionaire consists of four parts. The first part contains the identity of respondents, the second part contains knowledge, attitudes, and behavior of respondents concerning the masks' waste management, and the last part is how to treat used masks. </p>
Dataset on household survey on the prevalence of epilepsy in onchocerciasis endemic communities in the Bono Region of Ghana
<p>Household survey on prevalence of epilepsy in onchocerciasis endemic communities in the Bono Region of Ghana</p>
MAED template Reconstruction Base Year - Manufacturing (Industry Sector) and Household Sector (Urban & Rural)
<p>MAED template Reconstruction Base Year - Manufacturing (Industry Sector) and Household Sector (Urban & Rural) for the Hands-on 6 of the Open Learn Create an online course on MAED. The Template for "MAED template Reconstruction Base Year - Agriculture, Construction, Mining (Industry Sector)" is available for download here: https://doi.org/10.5281/zenodo.7750256. </p>
Household contact survey (Belgium)
<p>Data from household contact survey.</p>
Impact of household bulky waste collection on the presence of dengue-transmitting mosquito breeding sites_dataset
<p>The objective was to evaluate the impact of a municipal strategy to reduce Ae. aegypti in Asunción focused on the management of household bulky waste. To estimate the result, the Difference in Difference (DID) method was used. For the baseline, a simple random sampling of 324 households was carried out. The intervention implemented by the local government in an area with 180,000 residents, contributed to the collection of the equivalent of 14 kilos of bulky waste per inhabitant, given an idea of the magnitude of the problem. For the evaluation survey, 2.5 to 4 years after the intervention, 120 households were randomly selected, of which 60% had not been intervened (control households) and 40% had been intervened. As a result, a significant reduction was achieved in the total number of large solid waste found in the homes that were the object of the intervention. The differentiated collection was used mainly by those households that had a large number of large solid waste (DID of -55%), but not to get rid of all of these objects, but only a part. The data present no evidence of change in the percentage of households with breeding containers between the intervention and control groups.</p>
Household-level CDC Light Trap data for three communities in Kasungu, May - August 2021
<p>Each row in the dataset corresponds to data collected for a single household over one night. Variables are:</p> <p>community: community code i.e. ML = Malangano, CK = Chinkhombwe, CP = Chiponde</p> <p>community_name: Full name of community</p> <p>houseid: ID number (1-31) within a community</p> <p>uniqueid: Combination of community code and house ID, using a leading zero for houses 1-9</p> <p>collect: Date on which CDC Light Trap was collected after being in a house for 1 night</p> <p>month: Month in which CDC Light Trap data was collected</p> <p>trapnight: Whether this was the first or second collection of the two consecutive collections each month</p> <p>nmos: Total number of mosquitoes found in the trap</p> <p>nanophf: Total number of female <em>Anopheles</em> in trap</p> <p>nanophm: Total number of female <em>Anopheles</em> in trap</p> <p>nculexf: Total number of female culicines in trap</p> <p>nculexm: Total number of male culicines in trap</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.