Find research datasets worth reusing

opencc-by-4.0Mar 2018View details →

Duhumbi utensils, household implements and tools

Short description: This collection of videos, audio and photo files displays Duhumbi aspects of culture between 2012 and 2017. It showcases several household utensils and agricultural tools and implements and their usage. Many of these objects have become rare or have already disappeared.  This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes of any kind, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) is not permitted without specific written consent from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions. This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>. Legal Code on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</a>. Tim Bodt: bodttim (at) gmail (dot) com

opencc-by-4.0Jun 2021View details →

EPSRC HEED Data Repository: Nepal Household Appliance Survey

The dataset deposited here was prepared under the EPSRC-funded <a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a> research project (EP/P029531/1). The project aimed to understand the energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people.  As part of the project, three Appliance surveys were conducted in the Uttargaya settlement in Nepal. Appliance surveys are designed to assess the energy needs of a community based on the devices they use. The surveys span three instances across 18 months, starting in October 2018 and ending in April 2020. The survey splits the participants into four categories, organised into sheets, based on the type of metering participants have: 'bulk meter'; 'sub meter'; 'do not possess meter' and 'do not have electrical connection'.  The survey anonymises the name of participants and assigns them a unique id as a household number. Information is recorded on the gender of the household owner, the number of people in the household, the type of their electricity connection and the payment type for the electricity connection. The survey collects information on how many of the following appliances have: Electric Bulb; Mobile charger; Refrigerator; Television; Electric Radio; Table Fan; Electric Iron.

opencc-by-4.0Jul 2021View details →

COVID-19's lockdown and time allocation in Russian households

The database contains the survey on the changes of gender time allocation during two waves of the coronavirus lockdown (self-isolative restrictions) in Russia. Self-isolation included shift to remote work and study, the closure of childcare facilities, restrictions of mobility, etc.   Sample information The survey was conducted on Yandex.Survey platform. The first wave was conducted on 22-23 th of May, 2020, after 2 months of the beginning of first lockdown. The second wave took place on 17-19th of November, 2020 after 1 month of the second lockdown’start. Data was collected via online service Yandex.Survey. The platform offers a service for conducting an online survey among 50 million users of the Yandex advertising network with the ability to make a random sample, including a sample by demographic, geographic and some socio-economic characteristics. The respondents were women of predominantly working/reproductive age (15-55) from Russia. 1411 women took part in the first wave and 1408 in the second. After cleaning data and removing outliers 2795 respondents left. The coincidence of the distributions with the general population in terms of the main parameters (age, size of the settlement, employment, household composition) is satisfactory. The observed (insignificant) deviations are as follows: the proportion of women aged 30-43, living in cities with a population over one million has increased; decreased - at the age of 50-54 years, living in settlements with a population of less than 100 thousand people working in agriculture.   The female respondents were asked if they spend more or less time household chores and care, including: cleaning, cooking, laundry, shopping, management, child care, other care or nothing. If a woman marked, that she is living with a partner during the lockdown, she was also asked if her partner spends more or less time on each chore. The survey also includes questions concerning the occupation type (work, work and study, study, child care leave, doesn’t work), if a woman works (or works and studies), how the lockdown effected on her job: shift to remote work, fired, paid leave, unpaid leave, no income on restrictions, continues in-person work, and if a woman lives with a partner the same question was asked considering his work on the lockdown. Further, occupational features were divided into three: income (or husband’s income) means that a woman (or her partner) has her income on the lockdown which includes remote work, in person work, paid leave; gotowork means a woman (in her partner’s case – husb_gotowork) continues in person work; and distant if a woman is working online (husb_distant for her partner). Further, we asked whether a woman has an experience of remote work: no, and it is impossible, no, but it is possible, yes. We also asked about the size and type of her employer (small, medium, large firm or state firm). The next set of questions considers who a woman is living with on self isolation: alone, children, partner, parents, parents-in-law, others. At last, we asked respondents age, number of children and the age of the youngest child (if the number of children >0).   The database’ structure Survey's wave variables Social and demographic variables age of female respondent size of the city number of children the age of the youngest child age at last birth woman lives with her husband woman lives with children woman lives with children over 18 years old woman lives with her parents woman lives with her husband's parents woman lives alone woman lives with someone else type of activity how the lockdown effected female occupation field of employment type of enterprise where woman works (or does not) there is wife's income in household how the lockdown effected her husband's occupation there is husband's income in household woman's work experience at a remote location woman has remote work in the period of lockdown her husband has remote work in the period of  lockdown her husband has out of home work in the period of  lockdown woman has out of home work in the period of  lockdown her husband is fired or doesn't have income temporarily because of the lockdown her husband was fired because of the lockdown Time use variables: the changes in lockdown WOMAN MORE childcare care cleaning cooking laundry shopping management nothing WOMAN LESS childcare care cleaning cooking laundry shopping management nothing HER HUSBAND MORE childcare care cleaning cooking laundry shopping management nothing HER HUSBAND LESS childcare care cleaning cooking laundry shopping management nothing TOGETHER MORE childcare care cleaning cooking laundry shopping management nothing TOGETHER LESS childcare care cleaning cooking laundry shopping management nothing INSTEAD MORE childcare care cleaning cooking laundry shopping management nothing INSTEAD LESS childcare care cleaning cooking laundry shopping management nothing There are English and Russian versions of variables’ description. During exploratory data analysis we introduced features instead or together. These new features are restricted to answers of women who live with partners. Whether a woman marks that she spends less(more) time on the chore and her husband spends more(less) time on that exact type of chore, that means he does it instead of his wife. Whether both a woman and her partner spend more (less) time one the chore, it means they do it together. The variable “type of enterprise” was built on the criteria of credibility and stability during the corona-crisis from a small to a state firm (small, medium, large, state firm). Small and medium enterprises were hit the most by the pandemic (http://doklad.ombudsmanbiz.ru/2020/7.pdf), whether large and especially state firms had more resources to maintain employment and payments.

opencc-by-4.0Jul 2021View details →

Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data2

The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles. File Description: <ul> <li>Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and houses' data</li> <li>Houses_Input_Output_JSONs_and_Statistics - Zip containing the input and output files from the proposed system, as well as their corresponding schedule statistics</li> </ul>

opencc-by-4.0Jul 2021View details →

Load Shifting Optimization with Genetic Algorithms for Energy Cost Minimization in Households - Case Study Data

The case study of this dataset uses real household data, representing five days from 0h00 to 23h59. This dataset uses a period of 15 minutes for all loads execution time and energy data. The case study considers twenty unique houses that can have up to five different shiftable appliances, each executing three process cycles. File Description: <ul> <li>Case_Studies_Data-BAU_and_Load_Shifting - Excel containing appliances energy profile, load execution preferences, BAU consumption, and other house data</li> <li>Houses_Input_JSONs - Zip containing the input files, from each house, for the proposed system</li> </ul>

opencc-by-4.0Dec 2022View details →

Survey on household heating, Thessaloniki 2022 - GREEN FORESEEN

The file contains the data from a survey carried out as part of GREEN FORESEEN H2020 project. The data pertain to heating energy behaviour of households in the prefecture of Thessaloniki in 2022, with an empasis of solid biofuels.

opencc-by-4.0Nov 2022View details →

Data for Effects of household composition on infant feeding and mother-infant health in northern Kenya

This file (Ariaal_household&foodsecurity.v3) contains the data utilized for a journal article manuscript, "Effects of household composition on infant feeding and mother-infant health in northern Kenya" by Vankayalapati, Wamwere-Njoroge, and Fujita, under review for publication as of May 2023. The data are found under the Data tab, and the description of variables and coding information are found under the Code & Info tab). This is version 3 file (variable description edited for clarity). The above-mentioned article describes the context of the original survey among Ariaal mothers of northern Kenya in 2006.  Please contact Masako Fujita (ORCID 0000-0001-9173-6678, E-mail masakof@msu.edu) for questions regarding the data.   Condition for data use   Please cite the DOI of this data file (10.5281/zenodo.7899883) and the article (recommended citation style below) and acknowledge the grant support from institutions listed below.   Data and article:   <ul> <li>Fujita M. 2023. Data for Effects of household composition on infant feeding and mother-infant health in northern Kenya. Version 3. DOI: 10.5281/zenodo.7899883  </li> <li>Vankayalapati A, Wamwere-Njoroge G, M Fujita. [Year]. Effects of household composition on infant feeding and mother-infant health in northern Kenya. [Journal name. Article DOI].  </li> </ul> Grant support:   <ul> <li>   National Science Foundation (BCS-0622358, BCS-1638167)  </li> <li>   Wenner-Gren Foundation (Gr. 7460, Gr. 9278)  </li> <li>   Provost Undergraduate Research Initiative Grant, Michigan State University   </li> </ul>

publicFeb 2025View details →

Data for: Evaluating heterogeneity in household travel response to carbon pricing: a study focusing on small and rural communities

Open the record for dataset details and reuse information.

publicApr 2021View details →

Improved household living standards can restore dry tropical forests

Open the record for dataset details and reuse information.

publicOct 2022View details →

Estimating household preferences for coastal flood risk mitigation policies under ambiguity

Open the record for dataset details and reuse information.

publicSep 2022View details →

Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course

Open the record for dataset details and reuse information.

edi40/100

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.

openOpenSep 2014View details →

opencc-by-4.0May 2020View details →

Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load

This is flexibility model for shiftable atomic loads (i.e. washing machine, dryers and dish washers). The model is based on real 1-minute level measurements from real households over period of time. The details of the model are described in [R]. The model is implemented in Excel for cloth washing machines weekday consumption and flexibility scenario and all the required data is included for modelling the other equipment. [R] Degefa, M.Z., Sæle, H., Petersen, I. and Ahcin, P., 2018, October. Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load. In 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (pp. 1-6). IEEE. <a href="https://ieeexplore.ieee.org/document/8571836">https://ieeexplore.ieee.org/document/8571836</a>

dryad36/100

Stocks of paracetamol products stored in urban New Zealand households: A cross-sectional study

Background Intentional self-harm is a common cause of hospital presentations in New Zealand and across the world, and self-poisoning is the most common method of self-harm. Paracetamol (acetaminophen) is frequently used in impulsive intentional overdoses, where ease of access may determine the choice of substance. Objective This cross-sectional study aimed to determine how much paracetamol is present and therefore accessible in urban New Zealand households, and sources from where it has been obtained. This information is not currently available through any other means, but could inform New Zealand drug policy on access to paracetamol. Methods Random cluster-sampling of households was performed in major urban areas of two cities in New Zealand, and the paracetamol-containing products, quantities, and sources were recorded. Population estimates of proportions of various types of paracetamol products were calculated. Results A total of 174 of the 201 study households (86.6%) had at least one paracetamol product. Study households had mostly prescription products (78.2% of total mass), and a median of 24.0 g paracetamol present per household (inter-quartile range 6.0-54.0 g). Prescribed paracetamol was the main source of large stock. Based on the study findings, 53% of New Zealand households had 30 g or more paracetamol present, and 36% had 30 g or more of prescribed paracetamol, specifically. Conclusions This study highlights the importance of assessing whether and how much paracetamol is truly needed when prescribing and dispensing it. Convenience of appropriate access to therapeutic paracetamol needs to be balanced with preventing unnecessary accumulation of paracetamol stocks in households and inappropriate access to it. Prescribers and pharmacists need to be aware of the risks of such accumulation and assess the therapeutic needs of their patients. Public initiatives should be rolled out at regular intervals to encourage people to return unused or expired medicines to pharmacies for safe disposal.

opencc-zeroMay 2020View details →

dryad36/100

Effects of protected areas on welfare of local households: the case of Maasai Mara National Reserve in Kenya

<ol> <li>Protected areas are vital for biodiversity conservation although some have been criticized for not providing adequate socio-economic benefits to local people. However, empirical studies on socio-economic impacts of protected areas that control for confounding factors are rare.</li> <li>Here, we assessed the potential impacts of Maasai Mara National Reserve in South-Western Kenya on welfare (indicated by levels of income, consumption, and assets) of, and poverty incidence among 423 randomly selected local households. We used descriptive statistics to summarize demographic and socio-economic statuses of the households. Then, we estimated effects of the protected area on welfare of the households using ordinary least - squares regression model and entropy balancing.</li> <li>The protected area did not have any significant effect on welfare of, and poverty levels among the households. Households that lived within a 5 km radius of the protected area boundary incurred significantly higher crop destruction and livestock depredation losses than households that lived 5 - 25 km from the boundary. Nevertheless, majority of the households held positive views about the protected area due to direct and indirect benefits that they had already gained or expected to gain from it in the future.</li> <li>These results suggest that interventions are needed to reduce losses caused by wildlife in the protected area and improve its social and economic benefits to the local households.</li> </ol>

opencc-zeroAug 2020View details →

dryad36/100

Household survey data: incentives influencing tree planting in the Albertine Rift Region of Uganda

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 χ2 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 (χ2 = 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.

opencc-zeroAug 2020View details →

opencc-by-4.0Nov 2023View details →

ICT Use and access by individuals and households for Malaysia and Montenegro

Statistics on the use and access of ICT by individuals and households. Statistics published in this report are based on the concepts and guidelines from the Manual for Measuring ICT Access and Use by Households and Individuals, 2020 Edition published by the International Telecommunication Union (ITU). For Malaysia it is published by the Department of Statistics of Malaysia (DOSM). (as attached in email) Whereas for Montenegro, the data set is published by Montenegro Statistical Office (Monstat). https://www.monstat.org/eng/page.php?id=1666&pageid=1663

opencc-by-4.0Nov 2023View details →

ICT USE AND ACCESS BY INDIVIDUALS AND HOUSEHOLDS SURVEY REPORT

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

opencc-by-4.0Dec 2023View details →

Standrad Household Load Profile

BDEW standard load profile generated using demandlib python library with an annual consumption of 4.7 MWh/a.