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87 results for “one health”

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ClinicalTrials.gov32/100

Anxiety is One of the Most Frequent Disorders During the Perinatal Stage Which is Associated with Adverse Health Effects for Women and Their Babies. This Study Will Be to Evaluate the Effectiveness of

ClinicalTrials.gov study NCT06609291. IPD Sharing: NO. Countries: 1. Publications: 23.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Health Benefits of Expressive Writing: Study One

ClinicalTrials.gov study NCT03546673. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Broad One Health Endectocide-based Malaria Intervention in Africa (BOHEMIA)

ClinicalTrials.gov study NCT04966702. IPD Sharing: YES. Countries: 2. Publications: 6.

controlledIPD-YESFeb 2026View details →
dryad32/100

A cross-sectional survey on bat human interaction in Pakistan: one health perspective

Open the record for dataset details and reuse information.

publicOct 2021View details →
zenodo28/100

Animal disease data complementing the European Union One Health 2018 Zoonoses Report

<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99 that cites in Recital 7 the Council Directives 64/432/EEC and 91/68/EEC. The relevant Commission Decisions relating to the officially free (OF) MS and MS&#39; regions and related reporting are: Decision 2003/467/EC for bovine tuberculosis and bovine brucellosis, and Decision 93/52/EC for sheep and goat brucellosis (B. melitensis).</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

Animal population data complementing the European Union One Health 2018 Zoonoses Report

<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC.</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

Animal population data complementing the European Union One Health 2022 Zoonoses Report

<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC.</p>

opencc-by-4.0Dec 2023View details →
zenodo28/100

Figure 2 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183

Figure 2 A, a screenshot of the GWS KNIME workflow. There are 5 steps within the data processing workflow, which are described in the text. The first and the last green boxes of the workflow, designed with KNIME WebPortal extension, contain so-called "Components" that provide a workflow-specific web user interface that can also be triggered by the KNIME Server. In this way, the GWS KNIME workflow becomes available as a fully functional web service in the KNIME WebPortal. B, a screenshot of the KNIME's Text Processing extension nodes wrapped up into a metanode.

opencc-by-4.0Mar 2022View details →
zenodo28/100

Figure 1 from: Scaccia N, Günther T, Lopez de Abechuco E, Filter M (2021) The Glossaryfication Web Service: an automated glossary creation tool to support the One Health community. Research Ideas and Outcomes 7: e70183. https://doi.org/10.3897/rio.7.e70183

Figure 1 A, a screenshot of the GWS start page. B and C, output sections of the service. Specifically, B, number of exact terms and associated definitions found and, a tag cloud outcome; C, downloadable table of identified terms and definitions with term frequency, sector classification and reference. Through the GWS, end-users can upload their own file (2, A) and select which of the supported glossary(ies) should be searched through (1, A). Clicking "Next" (3, A), the GWS displays the results in an interactive table within the dashboard providing also the number of occurrences for each term in the user's document next to the identified definitions (4, B) and the tag cloud (5, B). The different colours for the terms in the tag cloud refer to different types of matches: exact matches in green, inexact matches in yellow and non-matching terms in grey. Afterwards, scrolling down the dashboard view (image C), the user has the possibility to download directly different tables (6, C) in Excel format. These options are: i) download the table with all the matches found, ii) download the exact-matches table or iii) download the inexact-matches table (6, C). Furthermore, if only a few terms with appropriate definitions are needed, the end-user can download those specific terms checking the corresponding checkboxes (7, C) and then clicking "Next" at the bottom of the dashboard page (8, C).

opencc-by-4.0Mar 2022View details →
zenodo28/100

A review of endangered wildlife hosts in Europe for selected pathogens to be targeted by One Health surveillance

<p>EFSA has been asked by the EU-Commission to assess the prioritization of cross-border pathogens that threaten the Union to be used in setting up a coordinated surveillance system under the One Health (OH) approach. A list of 50 pathogen has been considered in a first stage by the OH Working Group of EFSA. Under this OH approach, the criteria to be applied for prioritization of pathogens in further steps should consider that emerging infectious diseases have arisen from or been identified in wildlife, with health implications for humans, domestic animals, and wildlife. The identified infectious diseases pose a threat to wildlife populations and biodiversity and are perceived by the society as real risks to wildlife conservation. We elaborated a list of potential endangered wildlife hosts distributed in Europe for each pathogen. Hosts species were classified as Near Threatened (NT), Vulnerable (BVU), Endangered (EN) and Critically Endangered (CE) based on the International Union for Conservation of Nature&#39;s (IUCN) Red List of Threatened Species. Their endemicity status was also indicated. To consider a species as potential hosts, a literature review was performed in PubMED and diagnosis included direct detection of pathogen and immunological response. A complete table and data sources are presented in excel</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Norway

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

Tables, figures, and country data complementing the European Union One Health Zoonoses 2021 Report

<p>European Food Safety Authority;&nbsp;European Centre for Disease Prevention and Control</p> <p>All summary tables and&nbsp;figures produced for the European Union One Health 2021&nbsp;Zoonoses Report&nbsp;are provided as archives&nbsp; containing Excel files for tables, and as PDF or PNG files for figures.</p> <p><strong>All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP&nbsp;for country data stays with the organisation(s) of the country&nbsp;submitting&nbsp;the data - for further reference see doi:10.2903/sp.efsa.2019.EN-1544.</strong></p> <p>Supplementary datasets submitted&nbsp;are given in the related identifier section, however for clarity we give here the information on what they refer to:</p> <p>10.5281/zenodo.7390416 Foodborne outbreaks</p> <p>10.5281/zenodo.7389918 Disease status</p> <p>10.5281/zenodo.7390142 Animal Population</p> <p>10.5281/zenodo.7390884 Prevalence</p> <p><strong><em>Sample-based data submitted by specific countries</em></strong></p> <p>10.5281/zenodo.7389531 Finland</p> <p>10.5281/zenodo.7389587 Croatia</p> <p>10.5281/zenodo.7389851 Norway</p> <p>10.5281/zenodo.7389870 Luxembourg</p> <p>10.5281/zenodo.7389816 United Kingdom (Northern Ireland)</p> <p>10.5281/zenodo.7389889 Ireland</p>

opencc-by-4.0Dec 2022View details →
ClinicalTrials.gov28/100

Epidemiological Investigation of COVID-19 in Laos Using a One-Health Approach in Human and Animals

ClinicalTrials.gov study NCT04716543. IPD Sharing: NO. Countries: 0. Publications: 16.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Exploring the Learning Needs of Individuals With Inflammatory Arthritis From the Perspectives of Patients, Family Members and Friends, and Health Care Providers: Patient Perspectives (One-on-one Inter

ClinicalTrials.gov study NCT00832949. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

A Prospective and Experimental Study on Efficacy of One-Day of Acceptance and Commitment Therapy on Mental Health Among University Students. a Psychological Capital Examine As Mediator to the Efficacy

ClinicalTrials.gov study NCT06832462. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad24/100

Data from: Socio-demographic, social-cognitive, health-related and physical environmental variables associated with context-specific sitting time in Belgian adolescents: a one-year follow-up study

Introduction: More knowledge is warranted about multilevel ecological variables associated with context-specific sitting time among adolescents. The present study explored cross-sectional and longitudinal associations of ecological domains of sedentary behaviour, including socio-demographic, social-cognitive, health-related and physical-environmental variables with sitting during TV viewing, computer use, electronic gaming and motorized transport among adolescents. Methods: For this longitudinal study, a sample of Belgian adolescents completed questionnaires at school on context-specific sitting time and associated ecological variables. At baseline, complete data were gathered from 513 adolescents (15.0±1.7 years). At one-year follow-up, complete data of 340 participants were available (retention rate: 66.3%). Multilevel linear regression analyses were conducted to explore cross-sectional correlates (baseline variables) and longitudinal predictors (change scores variables) of context-specific sitting time. Results: Social-cognitive correlates/predictors were most frequently associated with context-specific sitting time. Longitudinal analyses revealed that increases over time in considering it pleasant to watch TV (p &lt; .001), in perceiving TV watching as a way to relax (p &lt; .05), in TV time of parents/care givers (p &lt; .01) and in TV time of siblings (p &lt; .001) were associated with more sitting during TV viewing at follow-up. Increases over time in considering it pleasant to use a computer in leisure time (p &lt; .01) and in the computer time of siblings (p &lt; .001) were associated with more sitting during computer use at follow-up. None of the changes in potential predictors were significantly related to changes in sitting during motorized transport or during electronic gaming. Conclusions: Future intervention studies aiming to decrease TV viewing and computer use should acknowledge the importance of the behaviour of siblings and the pleasure adolescents experience during these screen-related behaviours. In addition, more time parents or care givers spent sitting may lead to more sitting during TV viewing of the adolescents, so that a family-based approach may be preferable for interventions. Experimental study designs are warranted to confirm the present findings.

opencc-zeroDec 2016View details →
ClinicalTrials.gov24/100

AspergillusOne-Health: Deciphering Azole Resistance in Aspergillus Fungi Using a One Health Approach

ClinicalTrials.gov study NCT06532227. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Evidence for Health Improvement in People With Diabetes Using One Touch & Partner Solutions

ClinicalTrials.gov study NCT05354297. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Impact of an Intervention Integrating the MPHS Nursing Model of Care on the Partnership in Health, With the Patient Followed in Primary Care by an Advanced Practice Nurse (APN) for One or More Stabili

ClinicalTrials.gov study NCT05780762. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Health and Quality of Life One Year After Discharge From the Intensive Care Unit (ICU)

ClinicalTrials.gov study NCT02671916. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record