Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,184
datasets available to search
ShareScore release 0.9.0
Dataset results
5,184 results for “young”
A Spatial Analysis of Food Insecurity and Body Mass Index with Income and Grocery Store Density in a Diverse Sample of Adolescents and Young Adults
<p><strong>Abstract: </strong>Food insecurity occurs when a household lacks consistent access to food and is more prevalent in ethnic and racial minoritized populations. While there has been a proliferation of research linking food insecurity to obesity, these findings are mixed. It may be helpful to consider some additional geographic factors that may be associated with both factors including socioeconomic status and grocery store density. The purpose of the current study aimed to examine spatial relationships between food insecurity and SES/store density and BMI and SES/store density in a diverse sample of adolescents and young adults across two studies in a large, urban city. GIS analysis revealed that participants with the highest food insecurity (larger symbols) tend to live in the zip codes with the lowest median income. There did not appear to be clear a relationship between food insecurity and store density. Participants with the highest BMI tend to live in zip codes with lower median income and participants with higher BMI tended to live further away from downtown, which has the highest concentration of grocery stores in the city. Our findings may help to inform future interventions and policy approaches to addressing both obesity and food insecurity in areas of higher prevalence.</p>
Emotional Quotient Inventory - Young Version / Inventario de Inteligencia Emocional - Versión para Niños // EMOTIONAL INTELLIGENCE-EQi-YV_Data_IC_T6-Post
<p>Answers given by students in the sixth grade of Primary Education to the 60 items of The Emotional Quotient Inventory: Youth Version (EQ-i: YV) by Bar-On and Parker (2000; Spanish validation by Ferrándiz, Hernández, Bermejo, Ferrando, and Sáinz, 2012). Data collected in public schools in Castellón (Spain) in the spring of the school year 2015-16. The calculation of the 5 Socioemotional Dimensions is included: Intrapersonal, Interpersonal, Stress Management, Adaptability, and General Mood. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p> </p> <p>Respuestas que los alumnos/as de sexto curso de Educación Primaria dan a los 60 ítems del Inventario de Inteligencia Emocional: Versión para Niños (EQ-i:YV) de Bar-On and Parker (2000; validado para población española por Ferrándiz, Hernández, Bermejo, Ferrando, y Sáinz, 2012). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2015-16. Se incluye el cálculo de las 5 Dimensiones Socioemocionales: Intrapersonal, Interpersonal, Manejo del Estrés, Adaptabilidad y Estado de Ánimo General. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Emotional Quotient Inventory - Young Version / Inventario de Inteligencia Emocional – Versión para Niños // EMOTIONAL INTELLIGENCE-EQi-YV_Data_IC_T3-Post
<p>Answers given by students in the third grade of Primary Education to the 60 items of The Emotional Quotient Inventory: Youth Version (EQ-i: YV) by Bar-On and Parker (2000; Spanish validation by Ferrándiz, Hernández, Bermejo, Ferrando, and Sáinz, 2012). Data collected in public schools in Castellón (Spain) in the spring of the school year 2012-13. The calculation of the 5 Socioemotional Dimensions is included: Intrapersonal, Interpersonal, Stress Management, Adaptability, and General Mood. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p> </p> <p>Respuestas que los alumnos/as de tercer curso de Educación Primaria dan a los 60 ítems del Inventario de Inteligencia Emocional (EQ-i:YV) de Bar-On and Parker (2000; validado para población española por Ferrándiz, Hernández, Bermejo, Ferrando, y Sáinz, 2012). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2012-13. Se incluye el cálculo de las 5 Dimensiones Socioemocionales: Intrapersonal, Interpersonal, Manejo del Estrés, Adaptabilidad y Estado de Ánimo General Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Emotional Quotient Inventory - Young Version / Inventario de Inteligencia Emocional – Versión para Niños // EMOTIONAL INTELLIGENCE-EQi-YV_Data_CC-CS_T6-Post
<p>Answers given by students in the sixth grade of Primary Education to the 60 items of The Emotional Quotient Inventory: Youth Version (EQ-i: YV) by Bar-On and Parker (2000; Spanish validation by Ferrándiz, Hernández, Bermejo, Ferrando, and Sáinz, 2012). Data collected in public schools in Castellón and Seville (Spain) in the spring of the school year 2014-15. The calculation of the 5 Socioemotional Dimensions is included: Intrapersonal, Interpersonal, Stress Management, Adaptability, and General Mood. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p> </p> <p>Respuestas que los alumnos/as de sexto curso de Educación Primaria dan a los 60 ítems del Inventario de Inteligencia Emocional (EQ-i:YV) de Bar-On and Parker (2000; validado para población española por Ferrándiz, Hernández, Bermejo, Ferrando, y Sáinz, 2012). Datos recogidos en centros públicos de Castellón y Sevilla (España) en primavera del curso escolar 2014-15. Se incluye el cálculo de las 5 Dimensiones Socioemocionales: Intrapersonal, Interpersonal, Manejo del Estrés, Adaptabilidad y Estado de Ánimo General Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a></p>
Emotional Quotient Inventory - Young Version / Inventario de Inteligencia Emocional - Versión para Niños // EMOTIONAL INTELLIGENCE-EQi-YV_Data_IC_T5-Post
<p>Answers given by students in the fifth grade of Primary Education to the 60 items of The Emotional Quotient Inventory: Youth Version (EQ-i: YV) by Bar-On and Parker (2000; Spanish validation by Ferrándiz, Hernández, Bermejo, Ferrando, and Sáinz, 2012). Data collected in public schools in Castellón (Spain) in the spring of the school year 2014-15. The calculation of the 5 Socioemotional Dimensions is included: Intrapersonal, Interpersonal, Stress Management, Adaptability, and General Mood. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p> </p> <p>Respuestas que los alumnos/as de quinto curso de Educación Primaria dan a los 60 ítems del Inventario de Inteligencia Emocional: Versión para Niños (EQ-i:YV) de Bar-On and Parker (2000; validado para población española por Ferrándiz, Hernández, Bermejo, Ferrando, y Sáinz, 2012). Datos recogidos en centros públicos de Castellón (España) en primavera del curso escolar 2014-15. Se incluye el cálculo de las 5 Dimensiones Socioemocionales: Intrapersonal, Interpersonal, Manejo del Estrés, Adaptabilidad y Estado de Ánimo General. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
How do young identify plants? Using the drawing method to explore early ethnobotanical knowledge in Madagascar
<p>Database from the article "How do young identify plants? Using the drawing method to explore early ethnobotanical knowledge in Madagascar"</p> <p>Please contact the author before using it for more details.</p> <p> </p>
Functional traits of young seedlings predict trade-offs in seedling performance in three neotropical forests
<ol> <li>Understanding the mechanisms that promote the coexistence of hundreds of species over small areas in tropical forest remains a challenge. Many tropical tree species are presumed to be functionally equivalent shade-tolerant species that differ in performance trade-offs between survival in shade and the ability to quickly grow in sunlight.</li> <li>Variation in plant functional traits related to resource acquisition is thought to predict variation in performance among species, perhaps explaining community assembly across habitats with gradients in resource availability. Many studies have found low predictive power, however, when linking trait measurements to species demographic rates.</li> <li>Seedlings face different challenges recruiting on the forest floor and may exhibit different traits and/or performance trade-offs than older individuals face in the eventual adult niche. Seed mass is the typical proxy for seedling success, but species also differ in cotyledon strategy (reserve vs photosynthetic) or other seedling traits. These can cause species with the same average seed mass to have divergent performance in the same habitat.</li> <li>We combined long-term studies of seedling dynamics with functional trait data collected at a standard developmental stage in three diverse neotropical forests to ask whether variation in coordinated suites of traits predicts variation among species in demographic performance.</li> <li>Across hundreds of species in Ecuador, Panama, and Puerto Rico, we found seedlings displayed correlated suites of leaf, stem, and root traits, which strongly correlated with seed mass and cotyledon strategy. Variation among species in seedling functional traits, seed mass, and cotyledon strategy were strong predictors of trade-offs in seedling growth and survival.</li> <li>Our findings highlight the importance of cotyledon strategy in addition to seed mass as a key component of seed and seedling biology. These results also underscore the importance of matching the ontogenetic stage of the trait measurement to the stage of demographic dynamics.</li> <li> <em>Synthesis</em>: With strikingly consistent patterns across three tropical forests, we find strong evidence for the promise of functional traits to provide mechanistic links between seedling form and demographic performance. </li> </ol>
Verzehrsstudie zur Ermittlung der Lebensmittelaufnahme von Säuglingen und Kleinkindern für die Abschätzung eines akuten Toxizitätsrisikos durch Rückstände von Pflanzenschutzmitteln (VELS) [Consumption study to determine the food intake of infants and young children for the estimation of an acute toxicity risk through residues of plant protection products]
<p>The VELS study (<strong>V</strong>erzehrsstudie zur <strong>E</strong>rmittlung der Lebensmittelaufnahme von <strong>S</strong>äuglingen und Kleinkindern für die Abschätzung eines akuten Toxizitätsrisikos durch Rückstände von Pflanzenschutzmitteln; VELS) was conducted in 2001/2002. Data were collected from 804 infants, toddlers and children (age group 0.5 to <5 years) in Germany. The food consumed was recorded by the parents as "food as eaten" over a total of 6 days (2x3-day food record with an interval of 3-6 months for toddlers and 4-8 weeks for infants). Anthropometric data are also included.</p> <p>Foods are coded according to the German food coding system (BLS; Bundeslebensmittelschlüssel) and food names and additional information is available in German only.</p> <p>Dataset owner: German Federal Institute for Risk Assessment (BfR)</p> <p>Data collection was carried out by the University of Paderborn on behalf of the Federal Ministry of Food and Agriculture [Bundesministerium für Ernährung und Landwirtschaft; BMEL] – formerly Federal Ministry for Food, Agriculture and Consumer Protection [Bundesministerium für Verbraucherschutz, Ernährung und Landwirtschaft; BMVEL]</p>
Strain, Young's modulus, and structural transition of EuTiO3 thin films probed by micro-mechanical methods (Dataset)
<p>Datafiles of the Article "Strain, Young’s modulus, and structural transition of EuTiO3 thin films probed by micro-mechanical methods (Dataset)"</p>
Connecting Youth and Young Adults to Optimize ART Adherence: YouTHrive Efficacy Trial
ClinicalTrials.gov study NCT03149757. IPD Sharing: YES. Countries: 1. Publications: 1.
A Study of PEGylated Recombinant Factor VIII (BAX855) in Previously Untreated Young Children With Severe Hemophilia A
ClinicalTrials.gov study NCT02615691. IPD Sharing: YES. Countries: 23. Publications: 1.
The PRISM Intervention: a Multi-site Randomized Controlled Trial for Adolescents and Young Adults With Advanced Cancer
ClinicalTrials.gov study NCT03668223. IPD Sharing: YES. Countries: 1. Publications: 3.
Development of a Tailored HIV Prevention Intervention for Young Men
ClinicalTrials.gov study NCT02842060. IPD Sharing: YES. Countries: 1. Publications: 3.
Videos for Advance Care Planning in Young Adults
ClinicalTrials.gov study NCT04149704. IPD Sharing: YES. Countries: 1. Publications: 1.
Sleep Treatment Education Program for Young Adult Cancer Survivors (STEP-YA)
ClinicalTrials.gov study NCT05358951. IPD Sharing: YES. Countries: 1. Publications: 1.
Mobile Self-Management Program for Stress Reduction in Young Adults
ClinicalTrials.gov study NCT07174544. IPD Sharing: NO. Countries: 1. Publications: 0.
Just-in-time Adaptive Intervention Messaging in a Digital Weight Loss Intervention for Young Adults
ClinicalTrials.gov study NCT05625061. IPD Sharing: YES. Countries: 1. Publications: 0.
DiaBetter Together for Young Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT04247620. IPD Sharing: YES. Countries: 1. Publications: 1.
Addressing Vaccine Hesitancy and Increasing COVID-19 Vaccine Uptake Among African American Young Adults in the South
ClinicalTrials.gov study NCT05490329. IPD Sharing: YES. Countries: 1. Publications: 3.
Expanding the Family Check-Up in Early Childhood to Promote Cardiovascular Health of Mothers and Young Children
ClinicalTrials.gov study NCT05473767. IPD Sharing: YES. Countries: 1. Publications: 2.
ScienceDex guides
Understand access before you commit
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.