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779 results for “health impact”
Fig. 3 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 3. Origin for ornamental flora in the studied gardens.
Fig. 4 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 4. Pollination strategy for ornamental flora in the studied gardens.
Fig. 1 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 1. Map showing the location of Córdoba city.
Impacts of habitat disturbance on population health of Bornean frogs
<b>Description: </b><p>The raw data required for estimates of size, body condition and fluctuating asymmetry of riparian anurans across a series of streams within the SAFE landscape, providing insight into the population health of frog populations at these sites. Streams were selected to provide a habitat disturbance gradient enabling identification of any effect of habitat disturbance on the population health indices. Stream characteristics were measured to provide estimates of habitat disturbance sorrounding the streams (canopy cover) and enable the impact of any potentially confounding variables (stream width and slope) to be eliminated. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/205"><b>The impact of habitat modification on feeding interactions between riparian anuran communities and their arthropod prey </b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3485086">here</a></p><p><b>Files: </b>This consists of 1 file: Fluctuating_Asymmetry_and_Body_Condition_of_Anurans_in_the_SAFE_Project.xlsx</p><p><b>Fluctuating_Asymmetry_and_Body_Condition_of_Anurans_in_the_SAFE_Project.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Fluctuating asymmetry and body condition measurements of Bornean riparian anurans</b> (described in worksheet Frogs)</p><p>Description: Species, snout-vent length, mass and limb measurements of anurans sampled across a tropical forest disturbance gradient and within oil palm plantations. </p><p>Number of fields: 37</p><p>Number of data rows: 240</p><p>Fields: </p><ul><li><b>site</b>: SAFE identification code for the location where sampling was conducted (Field type: location)</li><li><b>date</b>: Date of sampling (Field type: date)</li><li><b>identification_code</b>: Code for the distinction of individual sampled frogs (Site of capture followed by the number of the individual within the overall sample taken within the site) (Field type: id)</li><li><b>species</b>: Identification of sampled frog to species level (Field type: taxa)</li><li><b>sex</b>: Sex of the sampled frog (male, female or unknown) (Field type: categorical trait)</li><li><b>svl</b>: Length of the frog from its snout to its vent (Field type: numeric trait)</li><li><b>mass</b>: Mass of the frog (Field type: numeric trait)</li><li><b>left_ru_1</b>: First measurement of the left radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_ru_2</b>: Second measurement of the left radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_ru_3</b>: Third measurement of the left radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_ru_mean</b>: Average of the three measurements of the left radio-ulna of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>right_ru_1</b>: First measurement of the right radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_ru_2</b>: Second measurement of the right radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_ru_3</b>: Third measurement of the right radio-ulna of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_ru_mean</b>: Mean of the three measurements of the right radio-ulna of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>mean_ru_size</b>: Average length of both radio-ulnas (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>ru_diff</b>: Difference between the mean length of the right radio-ulna from all three measurements and that of the left (Field type: numeric trait)</li><li><b>left_thigh_1</b>: First measurement of the left thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_thigh_2</b>: Second measurement of the left thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_thigh_3</b>: Third measurement of the left thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_thigh_mean</b>: Average of the three measurements of the left thigh of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>right_thigh_1</b>: First measurement of the right thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_thigh_2</b>: Second measurement of the right thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_thigh_3</b>: Third measurement of the right thigh of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_thigh_mean</b>: Mean of the three measurements of the right thigh of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>mean_thigh_size</b>: Average length of both thighs (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>thigh_diff</b>: Difference between the mean length of the right thigh from all three measurements and that of the left (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>left_tf_1</b>: First measurement of the left tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_tf_2</b>: Second measurement of the left tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_tf_3</b>: Third measurement of the left tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>left_tf_mean</b>: Mean of the three measurements of the left tibio-fibula of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>right_tf_1</b>: First measurement of the right tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_tf_2</b>: Second measurement of the right tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_tf_</b>: Third measurement of the right tibio-fibula of the frog (NA indicates that frog escaped before measurement could be completed) (Field type: numeric trait)</li><li><b>right_tf_mean</b>: Mean of the three measurements of the right tibio-fibula of the frog (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>mean_tf_length</b>: Average length of both tibio-fibulas (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li><li><b>tf_diff</b>: Difference between the mean length of the right tibio-fibula from all three measurements and that of the left (NA indicates that frog escaped before all measurements could be completed) (Field type: numeric trait)</li></ul></li><li><p><b>Stream morphometrics and riparian canopy cover</b> (described in worksheet Streams)</p><p>Description: The width and slope of, as well as the canopy cover above, the streams along which anurans were sampled.</p><p>Number of fields: 10</p><p>Number of data rows: 260</p><p>Fields: </p><ul><li><b>site</b>: SAFE identification code for the location where sampling was conducted (Field type: location)</li><li><b>date</b>: Date of sampling (Field type: date)</li><li><b>point</b>: 20m interval point along 500m in-stream transect at which measurements were taken (Field type: id)</li><li><b>upstream_%_canopy_cover</b>: Percentage canopy coverage when facing upstream from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>right_%_canopy</b>: Percentage canopy coverage when facing toward the right bank from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>downstream_%_canopy_cover</b>: Percentage canopy coverage when facing downstream from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>left_%_canopy_cover</b>: Percentage canopy coverage when facing toward the left bank from the centre of the stream at the given sampling point (Field type: numeric)</li><li><b>average_cover</b>: Average of the four canopy cover measurements (Field type: numeric)</li><li><b>stream_width</b>: Wetted width of the stream (Field type: numeric)</li><li><b>stream_slope</b>: Slope of the stream (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2019-03-23 to 2019-05-16</p><p><b>Latitudinal extent: </b>4.6025 to 4.7317</p><p><b>Longitudinal extent: </b>117.4556 to 117.6414</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Amphibia <br> -  -  -  -  Anura <br> -  -  -  -  -  Bufonidae <br> -  -  -  -  -  -  <i>Phrynoidis</i> <br> -  -  -  -  -  -  -  <i>Phrynoidis juxtaspera</i> <br> -  -  -  -  -  Dicroglossidae <br> -  -  -  -  -  -  <i>Limnonectes</i> <br> -  -  -  -  -  -  -  <i>Limnonectes finchi</i> <br> -  -  -  -  -  -  -  <i>Limnonectes kuhlii</i> <br> -  -  -  -  -  -  -  <i>Limnonectes leporinus</i> <br> -  -  -  -  -  Rhacophoridae <br> -  -  -  -  -  -  <i>Polypedates</i> <br> -  -  -  -  -  -  -  <i>Polypedates otilophus</i> <br> -  -  -  -  -  Ranidae <br> -  -  -  -  -  -  <i>Chalcorana</i> <br> -  -  -  -  -  -  -  [Chalcorana raniceps] <br> -  -  -  -  -  -  <i>Meristogenys</i> <br> -  -  -  -  -  -  -  [Meristogenys orphnocnemus] <br> -  -  -  -  -  -  <i>Staurois</i> <br> -  -  -  -  -  -  -  <i>Staurois guttatus</i> <br> -  -  -  -  -  -  -  <i>Staurois latopalmatus</i> <br> -  -  -  -  -  Megophryidae <br> -  -  -  -  -  -  <i>Leptolalax</i> <br> -  -  -  -  -  -  -  [Leptolalax friteniens] <br> -  -  -  -  -  -  <i>Leptobrachium</i> <br> -  -  -  -  -  -  -  [Leptobrachium abboti] <br></div><p></p>
Fig. 2 in Epidemiology of Trichinella infection in wild boar from Spain and its impact on human health during the period 2006-2019
Fig. 2. Occurrence of Trichinella infection in wild boar in Spain from 2006 to 2019.
Telemedicine's Impact on Mental Health
<p>This study evaluates the impact of telemedicine on mental health outcomes during the COVID-19 pandemic by analyzing data from various mental health service providers. The findings indicate significant improvements in access to care, treatment adherence, and overall mental health outcomes, highlighting telemedicine's efficacy in delivering mental health services during the pandemic.</p>
Data from: Heterogeneous zonal impacts of climate change on a wide hyperendemic area of human and animal fascioliasis assessed within a One Health action for prevention and control
Open the record for dataset details and reuse information.
Data set of study Examining the impact of cognitive control and discrimination on mental health outcomes in diverse Pakistani and Afghan communities
<div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <p>This dataset is part of a study examining the impact of cognitive control and discrimination on mental health outcomes among diverse Pakistani and Afghan communities. It includes demographic variables such as age, gender, and ethnicity, as well as psychological measures assessing cognitive control, discrimination experiences, and various mental health outcomes.</p> </div> </div> </div> </div> <div> <div> <div> <div> </div> <div><span>4o</span></div> <span></span></div> </div> </div> <div> </div> <div> <div> </div> </div> </div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div> <div> <div> <div> <div> <div> </div> <div> <div> </div> </div> <div> <div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Simulation results for "COVID-19 vaccination in Sindh Province, Pakistan: a modelling study of health impact and cost-effectiveness"
<p>The high-performance computing results for raw epidemiological simulations and quantiled scenarios associated with https://doi.org/10.1101/2021.02.24.21252338.</p> <p>All results stored as compressed rds files of data.table objects (use-able as data.frame objects) for use with R programming language.</p>
COV-BHP - Psychological Impact of the COVID-19 Outbreak on Health Professionals
<p>The COVID-19 pandemic had a massive impact on health care systems,<br> increasing the risks of psychological distress in health professionals. This database includes data from a study which assessed the prevalence of burnout and psychopathological conditions in health professionals working in a health institution in the Northern Italy, and identified socio-demographic, work-related and psychological predictors of burnout. Health professionals working in the hospitals of the Istituto Auxologico Italiano were asked to participate to an online anonymous survey investigating socio-demographic data, COVID-19 emergency-related work and psychological factors, state anxiety, psychological distress, post-traumatic symptoms and burnout.</p>
The Impact of 8 Weeks of Digital Meditation Application and Healthy Eating Program on Work Stress and Health Outcomes
ClinicalTrials.gov study NCT03945214. IPD Sharing: NO. Countries: 1. Publications: 1.
Impact of Screening and Multicomponent Exercise on Fall Rates, Fractures, and Cardiovascular Health in Diabetes
ClinicalTrials.gov study NCT06745544. IPD Sharing: YES. Countries: 1. Publications: 11.
The Impact of Environmental Controls on Mental Health
ClinicalTrials.gov study NCT07049419. IPD Sharing: NO. Countries: 1. Publications: 0.
A Phase 4 Study to Assess the Impact of Patient Support Program on Health Related Quality of Life and Adherence in Subjects With Relapsing-Remitting Multiple Sclerosis Administered Rebif® With the Reb
ClinicalTrials.gov study NCT01791244. IPD Sharing: Not stated. Countries: 2. Publications: 1.
The Impact of Heavy Alcohol Use on Saliva and Oral Health
ClinicalTrials.gov study NCT06684483. IPD Sharing: YES. Countries: 1. Publications: 4.
Impact of Community Health Workers on Adherence to Therapy for Non-Communicable Chronic Disease in Chiapas, Mexico
ClinicalTrials.gov study NCT02549495. IPD Sharing: NO. Countries: 1. Publications: 2.
The Impact of a Parenting Intervention on Latino Youth Health Behaviors
ClinicalTrials.gov study NCT03517111. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Intervention Study on the Health Impact of Air Filters in Chinese Adults
ClinicalTrials.gov study NCT02239744. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Lifestyle on Health Maintenance: A Randomized Controlled Trial
ClinicalTrials.gov study NCT07314957. IPD Sharing: NO. Countries: 1. Publications: 25.
Impact of Long Term Management of Dentine Hypersensitivity (DH) With a Daily Use Anti-sensitivity Toothpaste on the Quality of Life Related to Oral Health
ClinicalTrials.gov study NCT02752958. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.