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230
datasets available to search
ShareScore release 0.7.1
Dataset results
230 results for “Public health”
Development and Evaluation of a Large Language Model - Based Training Program for Nurses in Public Health Emergencies
ClinicalTrials.gov study NCT07141433. IPD Sharing: NO. Countries: 1. Publications: 0.
Unified platforM for a Better integRal Evaluation of MyeLodyspLastic Syndromes in SpAin-Strategy for Unraveling Personalized genoMic Medicine in Public heAlth System (UMBRELLA-SUMMA)
ClinicalTrials.gov study NCT06379945. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
"Why do the Recommendations Keep Changing?" A Randomized Controlled Trial of a Scrollytelling Web Application to Help Members of the Public Understand Better How and Why Public Health Guidelines Chang
ClinicalTrials.gov study NCT07091591. IPD Sharing: YES. Countries: 1. Publications: 0.
Pain Clinic Provides Public Health Safety
ClinicalTrials.gov study NCT06076512. IPD Sharing: NO. Countries: 1. Publications: 0.
Group Version of the UP-A in a Spanish Public Mental Health Setting.
ClinicalTrials.gov study NCT06894368. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Hip Fractures in Chile: Implications for Public Health Policy and Healthcare Delivery
ClinicalTrials.gov study NCT06267937. IPD Sharing: YES. Countries: 1. Publications: 0.
Manipulating E-Cigarette Nicotine to Promote Public Health
ClinicalTrials.gov study NCT06448351. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Public Health Impact of Unilateral Spatial Neglect
ClinicalTrials.gov study NCT05792969. IPD Sharing: Not stated. Countries: 1. Publications: 0.
An Evaluation of a Public Health Campaign Related to Persistent Pain in the United Kingdom
ClinicalTrials.gov study NCT06151678. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluation of iRise mHealth App on Healthcare Workers' (HCWs') Self-Efficacy and Willingness to Respond During Public Health Emergencies in Pakistan
ClinicalTrials.gov study NCT06984692. IPD Sharing: NO. Countries: 1. Publications: 0.
Partnerships Between Schools and Public Mental Health Departments: Investigation of Multi-professional Interventions for Children Aged 3 to 8 With Mental Health Issues (Parpsych-Ed)
ClinicalTrials.gov study NCT04300712. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Optimization of Immunotherapy Treatment for Advanced Melanoma in the Context of the Public Brazilian Health System (OTIMAS)
ClinicalTrials.gov study NCT07376317. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Public Health Risks and Characteristics of Upper Extremity Trauma During COVID-19
ClinicalTrials.gov study NCT05422989. IPD Sharing: NO. Countries: 1. Publications: 0.
Integration of Refugees Into Public Mental Health Care
ClinicalTrials.gov study NCT04832035. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
War on Melanoma™ Public Health & Education Campaign
ClinicalTrials.gov study NCT04611568. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Public Health Interest of Kaletra: Impact on Resistance to Antiretrovirals (ARVs)
ClinicalTrials.gov study NCT01103596. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Preventing Learning Problems in Young Children: A Public Health and Physician-Based Outreach
ClinicalTrials.gov study NCT00110292. IPD Sharing: Not stated. Countries: 1. Publications: 0.
DISCOVER-AQ Colorado Deployment Colorado Department of Public Health and Environment Ground Site Data
DISCOVERAQ_Colorado_Ground_CDPHE_Data contains data collected by the Colorado Department of Public Health and Environment (CDPHE) at ground sites around the study area, including Chatfield Park, Denver-LaCasa, Fort Collins, NREL-Golden, Aurora-East, Boulder, Denver-CAMP, Denver-I25, Rocky Flats, Welch, and Weld Co. Tower as part of the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
Influencing Factors on Preventive Health Behaviors: An Empirical Study on the Case of COVID-19 in China Based on the Situational Theory of Publics and Social Exchange Theory
<p>Data in the research</p>
dataset to accompany Managing COVID-19 spread with voluntary public-health measures: Sweden as a case study for pandemic control
<p>Data from simulations of COVID-19 spread in Sweden under different public-health measures. Results from individual-based models.</p>
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.