Find research datasets worth reusing

opencc-by-4.0Mar 2024View details →

Parish church (Parochiekerk Sint-Lambertus). Interior. North aisle. Altar. Detail. Statue of Madonna with Child. Ca 1750. 2

File Name: PM_141733_B_Parike Sublocation: Parike, parochiekerk Sint-Lambertus Location: Brakel Province: Oost-Vlaanderen Country: Belgium Header: Binnenzicht, het noordelijke zijaltaar, detail, beeld van een Madonna met Kind op maansikkel, detail, ca 1750 Description: Parish church (Parochiekerk Sint-Lambertus). Interior. North aisle. Altar. Detail. Statue of Madonna with Child. Ca 1750. Author: Photo: Paul M.R. Maeyaert Author Mail: PMRMaeyaert@gmail.com Copyright: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com Keywords: Cultural heritage; Europe|Belgium|Vlaanderen streken|Vlaamse Ardennen; Europe|Belgium; Europe|Belgium|Oost-Vlaanderen; Europe|Belgium|Oost-Vlaanderen|Parike (Brakel); Europe|Belgium|Oost-Vlaanderen|Brakel; Cultural heritage|Techniques|Sculpture; Cultural heritage|Techniques Date of Generation: 2021-10-24T14:30:21+02:00

opencc-by-4.0Mar 2024View details →

Parish church (Parochiekerk Sint-Lambertus). Interior. North aisle. Altar. Detail. Statue of Madonna with Child. Ca 1750.

File Name: PM_141732_B_Parike Sublocation: Parike, parochiekerk Sint-Lambertus Location: Brakel Province: Oost-Vlaanderen Country: Belgium Header: Binnenzicht, het noordelijke zijaltaar, detail, beeld van een Madonna met Kind op maansikkel, detail, ca 1750 Description: Parish church (Parochiekerk Sint-Lambertus). Interior. North aisle. Altar. Detail. Statue of Madonna with Child. Ca 1750. Author: Photo: Paul M.R. Maeyaert Author Mail: PMRMaeyaert@gmail.com Copyright: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com Keywords: Cultural heritage; Europe|Belgium|Vlaanderen streken|Vlaamse Ardennen; Europe|Belgium; Europe|Belgium|Oost-Vlaanderen; Europe|Belgium|Oost-Vlaanderen|Parike (Brakel); Europe|Belgium|Oost-Vlaanderen|Brakel; Cultural heritage|Techniques|Sculpture; Cultural heritage|Techniques Date of Generation: 2021-10-24T14:28:02+02:00

opencc-by-4.0Dec 2021View details →

Dataset - paper: Parental feeding practices and parental involvement in child feeding in Denmark: gender differences and predictors

Dataset corresponding to a paper that has been accepted for publication in Appetite (Philippe, K., Chabanet, C., Issanchou, S., Grønhøj, A., Aschemann-Witzel, J., & Monnery-Patris, S. (2022, in press). Parental feeding practices and parental involvement in child feeding in Denmark: gender differences and predictors. Appetite). The objectives of the study were (1) to examine possible differences between Danish mothers and fathers with regard to their involvement in child feeding and their feeding practices, and (2) to identify possible parent-related predictors of parental feeding practices and of parental involvement in child feeding at home. Information about the dataset and the corresponding documents can be found in the document "Metadata-paper-Denmark.docx".

opencc-by-4.0Dec 2021View details →

Dataset - paper: Child eating behaviors, parental feeding practices and food shopping motivations during the COVID-19 lockdown in France

Dataset corresponding to a paper that has been published in Appetite (Philippe K, Chabanet C, Issanchou S, Monnery-Patris S. Child eating behaviors, parental feeding practices and food shopping motivations during the COVID-19 lockdown in France: (How) did they change? Appetite. 2021 Jun 1;161:105132. doi: 10.1016/j.appet.2021.105132. Epub 2021 Jan 23. PMID: 33493611; PMCID: PMC7825985). The objective of the study was to evaluate possible changes in eating behaviors in children aged 3–12 years, in parental eating and cooking behaviors, in parental feeding practices, and also in parental motivations when shopping for food during the lockdown, compared to the period before the lockdown. Information about the dataset and the corresponding documents can be found in the document "Metadata-paper-COVID.docx".

opencc-by-4.0Aug 2021View details →

Mobile Service Robots Crash Testing with Pedestrians: Safety Assessment with Child and Adult Dummies

Data published with the manuscript: “Estimating risks posed by personal mobility devices and service robots to pedestrians: comparative crash testing of adult versus child dummies”. 2021 (Paez-Granados & Billard, 2021) Summary: This dataset contains injury measures during collisions between a mobile service robot - Qolo - (Paez-Granados, et al, 2018) and pedestrian dummies: male adult Hybrid-III (H3) and child model 3-years-old (Q3). We present multiple collision scenarios for the assessment of pedestrian safety, considering possible impacts at the legs for adult pedestrians, and legs, chest and head for children. In these tests, we followed known methods of safety analysis used in car crash testing and used a standing wheelchair robot "Qolo" as a representative system of mobile service robots, such as delivery bots (robot without occupant), person carrier robots, autonomous wheelchairs, standing mobility vehicles, and other transport robots expected to operate in pedestrian and public areas. The robot was equipped with an experimental front structure allowing different bumper heights and measurement of reaction forces. On the other hand, the human dummies were equipped with standard instrumentation calibrated in accordance with SAE J211-1 for impact tests, thus, the child dummy, Q3 provided head accelerations, neck forces and moments, chest deflections, and accelerations; and pelvis accelerations. The dummy H3 provided forces and moments at the tibia and femur, and accelerations at the pelvis, chest, and head. You will find scripts to read and plot the data, as well as, analysis of the injury risk based on standard crash testing metrics: Head Injury Criteria (HIC-15), head acceleration (a_3ms), Neck Injury (Nij), Chest deflection (CD), and tibia injury (TI). Instructions:  This dataset contains the following main files: <ol> <li>Data Description.pdf: Highly recommended to read through this file for understanding the setup of the collected dataset, as well as, the submitted manuscript.</li> <li>collision_test_rawdata.zip:  This file contains all the raw data for each sensor as mentioned in table 3, organized in independent subfolders as described in table 2. ‘test_name’/01_values/’testName’_CFC1000.xlsx</li> <li>collision_test_analysis.zip: This file contains all the processed data for each sensor in order to apply known injury metrics (Nij, HIC15, acc_3ms, TI, CC, VCI), organized in independent subfolders as described in table 2.‘test_name’/01_values/’testName’_Analysis_v2.xlsx --> Dataset with filtered sensor data accordingly to SAEJ21.</li> <li>collision_data_matlab_structure.zip: Matlab containers with all data - also available as .mat files for easy reading from Code Ocean capsule.</li> <li>scripts-crash-test-service-robots.zip: processing of the dataset is provided in this file with structure of data in Matlab containers and scripts for visualizing the data (see section III), further analysis scripts in the linked GitHub: <a href="https://github.com/epfl-lasa/crash-tests-service-robots">https://github.com/epfl-lasa/crash-tests-service-robots</a></li> </ol>

opencc-by-4.0Nov 2024View details →

Healthy Eyes, Happy Child

Healthy Eyes, Happy Child” (HEHC) projetc investigated the impact of spectacle correction on the well-being of children from ages 6 to 12 years in rural primary schools in the Pinetown Education District of Kwa-Zulu Natal, South Africa.

opencc-by-4.0Oct 2021View details →

Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania

These are the datasets underpinning the paper entitled: Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania. The datasets are provided in csv and Stata 16 format along with variable descriptions, and the Stata do file used for analysis.

opencc-by-4.0Aug 2019View details →

Child mortality dataset (from the UN Inter-agency Group for Child Mortality Estimation database). June 2019

This dataset compromises all country data included in the UN Inter-agency Group for Child Mortality Estimation (IGME) database (<a href="https://childmortality.org/data">https://childmortality.org/data</a>, downloaded June 2019). It includes: Reference area: name of the country Indicator: child mortality indicator (neonatal mortality, infant mortality, under-5 mortality and mortality rate age 5 to 14) Sex: sex of the child (male, female and total) Series name: name of survey/census/VR [note: UN IGME estimates, i.e. not source data, are identified as "UN IGME estimate" in this field] Series year: year of survey/census/VR series Observation value: value of indicator from survey/census/VR Observation status: indicates whether the data point is included  or excluded for estimation [status of "normal" indicates UN IGME estimate, i.e. not source data] Series Category: category of survey/census/VR, and can be: <ul> <li>DHS [Demographic and Health Survey]</li> <li>MIS [Malaria Indicator Survey]</li> <li>AIS [AIDS Indicator Survey]</li> <li>Interim DHS</li> <li>Special DHS</li> <li>NDHS [National DHS]</li> <li>WFS [World Fertility Survey]</li> <li>MICS [Multiple Indicator Cluster Survey]</li> <li>NMICS [National MICS]</li> <li>RHS [Reproductive Health Survey]</li> <li>PAP [Pan Arab Project for Child or Pan Arab Project for Family Health or Gulf Famly Health Survey]</li> <li>LSMS [Living Standard Measurement Survey]</li> <li>Panel [Dual record, multiround/follow-up survey and longitudinal/panel survey]</li> <li>Census</li> <li>VR [Vital Registration]</li> <li>SVR [Sample Vital Registration]</li> <li>Others [e.g. Life Tables]</li> </ul> Series type: the type of calculation method used to derive the indicator value (direct, indirect, household deaths, life table and vital records) Standard error: sampling standard error of the observation value Series method: data collection method, and can be: <ul> <li>Survey/census with Full Birth Histories</li> <li>Survey/census with Summary Birth Histories</li> <li>Survey/census with Household death</li> <li>Vital Registration</li> <li>Other</li> </ul> Lower and upper bound: the lower and upper bounds of 90% uncertainty interval of UN IGME estimates (for estimates only, i.e., not source data). The dataset is used in the following paper: Ezbakhe, F. and Pérez-Foguet, A. (2019) Levels and trends in child mortality: a compositional approach. Demographic Research (Under Review)

opencc-by-4.0Nov 2024View details →

Qualitative Data on Effects of Early and Prolonged Parent-Child Separation: Understanding Mental Health of Separated-Reunited Chinese American Children

<div> <div> <div> <div>Early and prolonged parent-child separation due to parental migration or immigration may result in attachment disruption that can threaten the long-term mental health and functioning of affected children, and these risks can persist following reunification and through adulthood. Although sending infants back to the home country for rearing is often practiced among Chinese immigrants, especially low-income families, research has been sparse in understanding the long-term impact of early and prolonged parent-child separation and reunification on disparities in mental health and functioning among separated-reunited children and the mechanism through which such relationships may operate.</div> <div>Funded by National Institute on Minority Health and Health Disparities (NIMH), we collected semi-structured interview data from 24 parent-child dyads who have experienced separation. The data included interview scrpits with primary coding to understand the mental health impacts, risk/protective factors, and service needs among separated-reunited Chinese American children.</div> </div> </div> </div> <div> </div>

opencc-by-4.0Jul 2021View details →

CINECA synthetic cohort NA Canada CHILD [CC-BY-NC-SA]

The "CINECA synthetic cohort NA Canada CHILD" dataset is a synthetic dataset developed to provide insight into how data is structured for select common attributes in the <a href="https://childstudy.ca/">CHILD Cohort Study</a>, but not reveal any personal or identifiable information associated with cohort participants. Such synthetic datasets are valuable for software developers to be able to see specific examples of data for common attributes (i.e. a minimal metadata model of a selection of common variables usually present in cohorts). This dataset comprises 100 variables for 150 synthetic participants which have faked phenotypic data that reflects CHILD cohort data. In addition, there is genetic data based on the <a href="https://www.nature.com/articles/nature15393">1000 Genomes</a> project. This dataset was created within the context of the <a href="https://www.cineca-project.eu/">CINECA</a> project. More information about the creation of this dataset can be found in the included documentation.  Please note this preamble must be included with any distribution of this dataset: This synthetic dataset (with cohort “participants” / ”subjects” marked with FAKE) has no identifiable data and cannot be used to make any inference about CHILD cohort data or results. The purpose of this dataset is to aid development of technical implementations for cohort data discovery, harmonization, access, and federated analysis. In support of FAIRness in data sharing, this dataset is made freely available under the Creative Commons Licence (CC-BY; <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>). Please ensure this preamble is included with this dataset and that the CHILD project and the CINECA project (funding: EC H2020 grant 825775 and CIHR grant 404896) are acknowledged. If you have any questions about this dataset contact Fiona Brinkman at brinkman@sfu.ca or Erin Gill at egill@sfu.ca.   CINECA synthetic cohorts <ul> <li><a href="https://zenodo.org/record/4955933">CINECA synthetic cohort Africa H3ABioNet</a></li> <li><a href="https://zenodo.org/record/5082689">CINECA synthetic cohort Europe CH SIB</a></li> <li><a href="https://ega-archive.org/datasets/EGAD00001006673">CINECA synthetic cohort Europe UK1</a></li> </ul>

opencc-by-4.0Aug 2021View details →

Mother as child TEC Dataset for ZEPT 2008152

Dataset to go with the (submitted) paper on Mother as child test of emotion comprehension and interpersonal violence related post traumatic stress disorder. Variable names are partially in French partially in English.

opencc-by-4.0Sep 2018View details →

ERC Locus Ludi. Play and Games in Antiquity. Early Christian Attitudes to Child

Miguel Herrero de Jáuregui, is specialist of orphism and christianity in late antiquity. His talk reveals the roles of child playing and games in the christian writings of the first centuries. His talk: Early Christian Attitudes to Child Playing, was given at the International Conference, Play and Games in Antiquity. Definition, Transmission, Reception, September 17-19, 2018, Swiss Museum of Games. Movie/Music: <a href="https://www.edwanmusic.com/">https://www.edwanmusic.com/</a> More about: www.locusludi.ch

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What drives poor quality of care for child diarrhea? Experimental evidence from India

Most healthcare providers in developing countries know that oral rehydration salts (ORS) is a lifesaving treatment for child diarrhea, yet few prescribe it. This know-do gap has puzzled experts for decades and has cost millions of lives. Using several randomized controlled trials among private providers in 253 towns in India, we estimated the extent to which ORS under-prescription is driven by financial incentives to sell more lucrative medicines, stock-outs of ORS, and provider perceptions that patients do not want ORS. We found that patients expressing a preference for ORS increased ORS prescribing by 27 percentage points. Eliminating stock-outs increased ORS provision by 6.8 percentage points. Eliminating financial incentives to sell medicines had no effect on average but increased ORS prescribing at pharmacies by 9 percentage points. Our findings, combined with patient exit surveys suggest that provider perceptions that patients do not want ORS explain 42% of under-prescribing, while stock-outs and financial incentives explain only 6% and 5% respectively.

opencc-zeroJan 2024View details →

opencc-by-4.0Feb 2022View details →

Response to COVID-19: Clients' perspectives on the utilization of reproductive, maternal and child health care services in Nigeria

This dataset was a part of a cross-sectional descriptive study in 320 rural communities in 32 Local Government Areas (LGAs) across the Federal Capital Territory (FCT), Abuja, and 9 out of the 36 Nigerian States in 2020. The dataset contains views of women who used primary health care centres in the selected LGAs for maternal and child health care, and family planning services before, during, and after the COVID-19 pandemic lockdown in Nigeria. The sample size was determined using the Yamane sample size formula. The estimated sample size per State was 384 (3,840 for nine States and FCT), with a 10% adjustment for non-response, the total sample size was 422 per State or location (4220 for the nine States and FCT). The data are stored in SPSS format.  The study was an initiative of UNFPA Nigeria. They coordinated it under the One UN Basket fund to respond to COVID-19 and implemented it under the supervision of three national NGOs: The Women’s Health and Action Research Centre (WHARC), Education as a Vaccine (EVA), and the Planned Parenthood Federation of Nigeria (PPFN).

opencc-by-4.0May 2022View details →

Food Inflation and Child Health

Data Repository for   Woldemichael, A., Kidane, D., and Shimeles, A. 2022. Food Inflation and Child Health. World Bank Economic Review. https://doi.org10.1093/wber/lhac009

opencc-by-4.0Jun 2022View details →

Polifonia Corpus - Pilots Module (Child) Metadata

We release the Metadata of the Pilots module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Pilots corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing. Full description at <a href="http://github.com/polifonia-project/Polifonia-Corpus">https://github.com/polifonia-project/Polifonia-Corpus</a>

opencc-by-4.0Jun 2022View details →

Polifonia_Corpus_Pilots_Annotations_Child

Polifonia_Corpus_Pilots_Annotations_Child

opencc-by-4.0Jul 2022View details →

Child Diabetes Study Data File (2022)

This file contains anonymised data from our publication titled, "Exploring the determinants of mental health, wellbeing, and lifestyle in 8-11 year old children with Type 1 diabetes and their healthy counterparts in Kuwait". The present, second version of the data file is identical to the first, but we have now added coding and unit information to the file. Abstract: Type 1 diabetes is a chronic disease with an early onset, but little is known about its psychological effects in middle childhood. The present study was the first to explore the relationship between mental health, wellbeing, and lifestyle of 8-11 years old children with Type 1 diabetes and their parents, and a healthy comparison group. A total of 200 parent-child dyads were recruited in diabetic clinics and from primary schools in Kuwait. Both groups completed a series of behavioural and physical assessments relating to health, wellbeing, and lifestyle. A significant relationship was found between higher Body Mass Index (BMI), and poorer mental health, including low academic self-esteem, depression, and anxiety in the young diabetes group. Diabetes group had significantly higher mean scores in mental health problems, and lower scores in wellbeing, compared with control group. Both groups had poor dietary habits and low levels of physical activity. Unlike previous studies, no differences were found between parents’ mental health for children with Type 1 diabetes and parents of the control group. Although elevated problem scores on a variety of indices remained within normal range, the pattern of results indicates that children with diabetes would profit from early screening and preventative intervention to reduce the likelihood of psychological and behavioural difficulties later on.

opencc-by-4.0Oct 2022View details →

Factors associated with child abuse in children and adolescents in a Peruvian public hospital

The study's objective was to determine the factors associated with the type of child and adolescent abuse of the MAMIS program, Hipólito Unanue hospital, Tacna-Peru region, 2019-2021. It had a quantitative, retrospective, cross-sectional, correlational approach in which 174 child abuse cases in children and adolescents were examined. It was found that the predominant personal factors were located in the ages of 12-17 years (57.4%), secondary level (51.15%), female sex (56.9%), and do not consume alcohol and/or drugs (88.5%). The family factors that stood out were the type of single parenteral family (48.28%), the age of both parents was 30-59 years (58.5%), the divorced, marital status (37.3%), secondary level (68.9%), the occupation of the independent parents (64.9%), there is no history of the parents having suffered violence (91.3%), there are no problems of addiction or alcohol consumption and/or drugs (95.40%), and at the same time there are no psychiatric disorders (95.4%). The types of child abuse that prevails is the psychological type (93.68%), followed by the type of neglect or abandonment (38.51%), the physical type (37.93%), and sexual abuse (27.0%). It is concluded that there is a significant relationship, with a confidence level of 95%, between personal factors such as the age of the minor with psychological abuse and sexual abuse; the sex of the minor with physical abuse and sexual abuse; the consumption of alcohol and/or drugs with the physical abuse of children and adolescents.