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69 results for “household survey”
Relationship of Community Characteristics to Harvest Reporting: Comparative study of household surveys and harvest tickets in Alaska
Accurate harvest reporting is critical for wildlife management. Rural Alaskan communities reported a median of 42% of moose harvested via traditional harvest tickets compared to those reported in household surveys. This harvest-report ratio did not change over time. Twice as many moose were reported harvested during subsistence household surveys (n = 8,039) than on hunter harvest tickets (n = 3,557). Percentage of the community that was indigenous, used and shared moose, and absence of a wildlife biologist or road access were associated with low harvest-report ratios. Analysis revealed that household surveys provide important information about moose harvest rates and their use should be expanded. Reporting rates might be improved by building trust through respectful dialogue between hunters and managers and by placing more emphasis on the benefits of reporting harvests and less emphasis on enforcement.
Household survey data: incentives influencing tree planting in the Albertine Rift Region of Uganda
<p>The study assessed the influence of incentives on tree planting by farmers in Kiryanga Sub county, Kagadi district, Albertine Rift Region, Western Uganda. Key informant interviews, focus group discussions and household interviews were conducted to generate data on the influence of incentives on tree planting. The χ<sup>2</sup> test established associations between incentives and tree planting while a t-test was conducted to test for differences in characteristics of non-tree farmers and tree farmers. Results indicate that incentives are important in tree planting although some did not match farmers' interests (χ<sup>2</sup> = 35.13, p <0.05). The incentives that were significant were: provision of tree seedlings (84.6%) and cash payments (69.4%) while farm tours as an incentive did not match farmers' interests. The success attributed to incentives mainly depended on land size, and tree species' preferences. The study concluded that, provision of tree seedlings and cash payments should be the incentives to be promoted. It is therefore important that stakeholders adopt incentive-based tree planting.</p>
ICT USE AND ACCESS BY INDIVIDUALS AND HOUSEHOLDS SURVEY REPORT
<p>The dataset includes measurements related to median household gross income (MHGI), Internet penetration rates for mobile broadband (IPRMB) and fixed broadband (IPRFB), the use of mobile phones (IUMP) and computers (IUC) by individuals, and ICT skills in the context of e-learning, particularly for users enrolled in formal online courses. These data have been extracted from reports by the Department of Statistics Malaysia and the Ministry of Communication and Digital (KKD) on Internet Penetration</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>
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>
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>
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>
Household contact survey (Belgium)
<p>Data from household contact survey.</p>
Rural South and Southeast Asia Household Health Survey
ClinicalTrials.gov study NCT05389540. IPD Sharing: YES. Countries: 4. Publications: 2.
Household survey data: incentives influencing tree planting in the Albertine Rift Region of Uganda
Open the record for dataset details and reuse information.
BES Household Telephone Survey
Title: Baltimore Ecosystem Study (BES) Household Telephone Survey is a core dataset. The survey was conducted in years 1999 (n = 801), 2000 (n = 813), 2003 (n = 1508), 2006 (n = 3312), and 2011 (n = 1636). In year 2011, five other Metropolitan Statistical Areas (MSA), were also sampled: Boston, MA; Miami, FL; Minneapolis-St. Paul, MN; Phoenix, AZ; and Los Angeles. The overall sample size for year 2011 was 9,840. The professional survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, and demographic information. Questions can be addressed to Dexter H Locke (dexter.locke@gmail.com) and J Morgan Grove (jmgrove@gmail.com).
Energy Choices Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Energy Use Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Energy Efficiency Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Household Member Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Individual Tree Data Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Pets Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Transportation Choices Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Vegetation Choice Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
Vehicles Survey: Twin Cities Household Ecosystem Project
We designed our methods to estimate carbon, nitrogen, and phosphorus fluxes through individual households, and to address two primary questions: 1. How are these fluxes distributed across households? 2. What biophysical and socioeconomic factors contribute to differences in these fluxes across households? Our hybrid approach combines: 1. A mailed survey 2. Energy provider records 3. On-the-ground landscape measurements 4. A computational tool (the Household Flux Calculator) 4. Parcel data (interpreted using GIS) The resulting dataset includes information on biophysical and socioeconomic variables that potentially influence household-level fluxes of elements. Using this method to study element fluxes at the household level allows us to explicitly link consumption choices and element fluxes.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.