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Dataset results
40 results for “Global Health”
Source Data and ambient ozone dataset generated in "Substantially underestimated global health risks of current ozone pollution"
<p>Existing assessments might have underappreciated ozone-related health impacts worldwide. Here our study assesses current global ozone pollution using the high-resolution (0.05°) estimation from a geo-ensemble learning model, with key focuses on population exposure and all-cause mortality burden. Our model demonstrates strong performance, achieving a mean bias of less than -1.5 parts per billion against in-situ measurements. We estimate that 66.2% of the global population is exposed to excess ozone for short term (> 30 days per year), and 94.2% suffers from long-term exposure. Furthermore, severe ozone exposure levels are observed in Cropland areas, particularly over Asia. Importantly, the all-cause ozone-attributable deaths significantly surpass previous recognition from specific diseases worldwide. Notably, mid-latitude Asia (30°N) and the western United States show high mortality burden, contributing substantially to global ozone-attributable deaths. Our study highlights current significant global ozone-related health risks and may benefit the ozone-exposed population in the future.</p>
Global health burden of ambient PM2.5 and the role of anthropogenic black carbon and organic aerosols
<p><strong>SI Dataset S1 (</strong><strong>SI DataS1)</strong></p> <p>Excess mortality from ambient PM<sub>2<em>.</em>5 </sub>exposure among adults, children, and neonates.</p> <p><strong>SI Dataset S2 (</strong><strong>SI DataS2)</strong></p> <p>Pie charts showing distribution of excess death by disease among adults, children, and neonates.</p> <p><strong>SI Dataset S3 (</strong><strong>SI DataS3)</strong></p> <p>Sector contribution to ambient PM<sub>2<em>.</em>5</sub>-related excess death under EqT and 2BSP assumptions</p> <p><strong>SI Dataset S4 (</strong><strong>SI DataS4)</strong></p> <p>Excess death from ambient BC exposure and contributions of major anthropogenic sectors.</p> <p><strong>SI Dataset S5 (</strong><strong>SI DataS5)</strong></p> <p>Excess death from ambient POA exposure and contribution of major anthropogenic sectors.</p> <p><strong>SI Dataset S6 (</strong><strong>SI DataS6)</strong></p> <p>Excess death from ambient aSOA exposure and contribution of major anthropogenic sectors.</p> <p><strong>SI Dataset S7 (</strong><strong>SI DataS7)</strong></p> <p>Sector contribution to excess death under EqT and 2BSP relative toxicity assumptions by major regions.</p>
Research Beyond the Lab, Spring Term 2022, Global Health Engineering, ETH Zurich. Raw data and analysis-ready derived data on waste management in public spaces in Zurich, Switzerland.
<p>This repository contains all raw and derived data produced as part of the <a href="https://rbtl-fs22.github.io/website/">ETH Zurich course "Research Beyond the Lab: Open Science and Research Methods for a Global Engineer" (151-8102-00L)</a> offered in spring term 2022.</p> <p>Students were assigned teams of four to conduct a collaborative research project broadly addressing the theme of “Trash in the Public Spaces of Zurich” in collaboration with <a href="https://www.stadt-zuerich.ch/ted/de/index/entsorgung_recycling.html">Entsorgung & Recycling Zürich (ERZ)</a>, the waste management department at Stadt Zürich.</p> <p>Research methods and design are taught in the first half of the course. Surveys and a waste characterisation study are then designed based on the research questions students have developed in their respective teams. The collected raw data is used in the course to teach principles of research data management, tidy data structures, reproducible research with R & RStudio, and collaboration and version control with Git & GitHub.</p>
Global and regional health and food security under strict conservation scenarios.
<p>Data supporting Nature Sustainability paper 'Global and regional health and food security under strict conservation scenarios'. Zipped folder contains LandSyMM output used to generate results. The tif files are the biodiversity prioritisation areas used in the 50% and 30% strict protection scenarios generated as per the methods in Jung, M., Arnell, A., de Lamo, X. <em>et al.</em> Areas of global importance for conserving terrestrial biodiversity, carbon and water. <em>Nat Ecol Evol</em> <strong>5, </strong>1499–1509 (2021). https://doi.org/10.1038/s41559-021-01528-7. </p>
Is Open Data Strategy for Covid-19 used for other global health threats? A systematic review of the literature
<p>Dataset result of the literature review run between march and may 2022 on PubMed, Cinahl, Scopus and Google Scholar about open data and growing trend in scientific research about infection risk comparing Covid-19, Anti Microbial Resistance (AMR), and Health Assistance Correlated Infections (HAIs).</p>
Global Health Security (GHS) Tracking dataset
<div> <p>The Global Health Security Tracking (GHS) dataset is a research effort led by Dr. Rebecca Katz and Dr. Ellie Graeden at the Georgetown University Center for Global Health Science and Security. The dataset was developed to provide a shared resource to map the flow of disbursed funds for global health security. GHS Tracking allows both funders and recipients to identify gaps and prioritize future investments, and helps to highlight the ways in which funds can be allocated most effectively to have the greatest impact. The dataset and platform serve as a basis for mutual accountability within the global health security community, promoting public accounting, and providing an opportunity for countries, organizations, and other funders to showcase their successes and identify priorities for future investments.</p> <p>GHS Tracking aggregates publicly reported financial disbursements from funders to recipients for activities related to global health security, from January 2014 and December 2022, reported in nominal U.S. dollars.<strong> </strong>This effort draws from a large number of <a href="https://tracking.ghscosting.org/about/data-sources/">data sources</a>, each with varying reporting standards, methods of summarizing, and levels of metadata quality. To learn more, visit our <a href="https://tracking.ghscosting.org/about/methods/">methods documentation</a> or read the attached Technical Appendix. To see how our team and other researchers have used the data, check out the publications <a href="https://tracking.ghscosting.org/about/publications/">here</a>.</p> <p>The GHS Tracking dataset can be explored, visualized, and downloaded from <a href="tracking.ghscosting.org">tracking.ghscosting.org</a>. Data can also be accessed in CSV format on this page. In addition to the Technical Appendix, there are two data files available for download:</p> <ul> <li>Funding distributed from 2014 – 2022 for each of the Joint External Evaluation (JEE) core capacities</li> <li>Funding distributed from 2014 – 2022 for each of the WHO public health emergencies of international concern (PHEIC)</li> </ul> <p>Funding is reported as the total amount received and disbursed by each stakeholder entity per year in nominal U.S. dollars. <strong>The data should not be used without special attention to the <a href="https://tracking.ghscosting.org/about/data-limitations/">limitations</a>. </strong></p> <p>Please use the citation on this page to cite these data and contact us at <a href="mailto:globalhealthsecurity@georgetown.edu">globalhealthsecurity@georgetown.edu</a> so that we can showcase your work on the site!</p> </div>
Dataset: Global X Telemedicine & Digital Health ETF (EDOC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Global health science leverages established collaboration network to fight COVID-19
<p>Compressed file containing the data for the <a href="https://arxiv.org/abs/2102.00298">Global health science leverages established collaboration network to fight COVID-19</a> paper.</p> <p>For simplicity of use you can find pubmed__2019_cleaned.rar at https://zenodo.org/record/5011448#.Ykb2PDU68mA which contains the cleaned data used for the analysis. However we do not own the data and The following 6 data sources have been used.</p> <p><br> 1. Publication data</p> <p>source: PubMed API (download 26.06.2023).</p> <p>Output: country_pub_info.csv and edge_list.csv</p> <p><br> 2. Covid cases (download 26.06.2023)</p> <p>file: owid-covid-data.csv</p> <p>website: https://github.com/owid/covid-19-data/tree/master/public/data</p> <p>original source (for some variables): COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</p> <p><br> 3. Covid policy restrictions (last download 21.06.2021)</p> <p>website: https://ourworldindata.org/policy-responses-covid</p> <p>data file: OxCGRT_latest.csv</p> <p>Oxford Covid-19 Government Response Tracker</p> <p><br> cit: Thomas Hale, Noam Angrist, Rafael Goldszmidt, Beatriz Kira, Anna Petherick, Toby Phillips, Samuel Webster, Emily Cameron-Blake, Laura Hallas, Saptarshi Majumdar, and Helen Tatlow. (2021). “A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker).” Nature Human Behaviour. https://doi.org/10.1038/s41562-021-01079-8</p> <p> </p> <p>4. Economic wealth</p> <p>Penn World Table version 10.0</p> <p>cit: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt</p> <p><br> 5. Economic/social development</p> <p>Human Development Index (HDI) from http://hdr.undp.org/en/content/download-data</p> <p> </p>
Quantification of the global and regional impacts of gas flaring on human health via spatial differentiation
<p>Supplementary material for the associated publication.</p>
Data for publication: A food system transformation can enhance global health, environmental conditions and social inclusion
<p>Data related to the publication "A food system transformation can enhance global health, environmental conditions and social inclusion"</p>
Critical barriers to sustainable capacity strengthening in global health: A systems perspective on development assistance
<p>These qualitative datasets are associated with work done under the Inter-agency Working Group for Capacity Strengthening initiative. The data was captured via Miro - a digital whiteboarding tool - using an innovative co-creation process called Systems Acupuncture and details the nine systemic barriers impeding a better, more sustainable country-driven model for capacity strengthening. The data was captured over a series of stakeholder workshops and discussion sessions, and synthesized into nine "system syndrome" maps. The maps illustrate the multi-dimensional causal relationships between individual system drivers and display feedback loops (i.e., sets of drivers that reinforce each other) within and between the system syndrome maps. The two pending manuscripts, both submitted to Gates Open Research, this data is associated with are:</p> <ol> <li>Critical barriers to sustainable capacity strengthening in global health: A systems perspective on development assistance</li> <li>Exploring system drivers of gender inequity in development assistance for health and opportunities for action</li> </ol> <p> </p>
Table 2. Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project's Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).
<p>Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project’s Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).</p>
Water and Planetary Health Analytics (WAPHA) global metal mines database
<p class="Teaser"><span>An estimated 23 M people live on floodplains affected by potentially dangerous concentrations of toxic waste derived from past and present metal mining activity. We analyze the global dimensions of this hazard, particularly Pb, Zn, Cu and As, using a geo-referenced global database detailing all known metal mining sites, and intact/failed tailings storage facilities. We then use process-based and empirically tested modelling, to produce a global assessment of metal mining contamination in river systems, and the number of human populations, and livestock exposed. Worldwide, metal mines impact 479,200 km of river channels and 164,000 km<sup>2 </sup>of floodplains. The number of people exposed to contamination sourced from long-term discharge of mining waste into rivers is almost fifty times greater than the number directly impacted by tailings dam failures.</span></p>
Data from: Global soil pollution by toxic metals threatens agriculture and human health
Open the record for dataset details and reuse information.
Water and Planetary Health Analytics (WAPHA) global metal mines database
Open the record for dataset details and reuse information.
Global health research and education at medical faculties in Germany
<p>Raw data set including information on global health research funding and publications, global health access and global health education at German medical faculties. </p>
Bridging research integrity and global health epidemiology (BRIDGE) statement: guidelines for good epidemiological practice
<p>Research integrity and research fairness have gained considerable momentum in the past decade and have direct implications for global health epidemiology. Research integrity and research fairness principles should be equally nurtured to produce high quality impactful research – but bridging the two can lead to practical and ethical dilemmas. In order to provide practical guidance to researchers and epidemiologist, we set out to develop good epidemiological practice guidelines specifically for global health epidemiology, targeted at stakeholders involved in the commissioning, conduct, appraisal and publication of global health research.</p> <p>We developed preliminary guidelines based on targeted online searches on existing best practices for epidemiological studies and sought to align these with key elements of global health research and research fairness. We validated these guidelines through a Delphi consultation study, to reach a consensus among a wide representation of stakeholders. </p> <p>A total of 45 experts provided input on the first round of GEP e-Delphi consultation, and 40 in the second. Respondents covered a range of organisations (including for example academia, ministries, NGOs, research funders, technical agencies) involved in epidemiological studies from countries around the world. A selection of eight experts were invited for a face-to-face meeting. The final guidelines consists of a set of six standards and 42 accompanying criteria including study preparation, study protocol and ethical review, data collection, data management, analysis, reporting and dissemination.</p> <p>This database only includes anonymised responses of participants who agreed to their data being shared in this depository , i.e.19 out of the 45 (Round 1) and 40 (Round 2) participants. </p>
Supporting information for "Global trade-drivers in emissions of polycyclic aromatic hydrocarbons and associated health impacts"
<p>Emissions: PAH emission inventory for 17 sectors in 189 regions, input-output tables of emissions from the perspectives of primary input, final sale and final consumption, net flow patterns of emissions, the contributions of different drivers to the changes in PAH emissions (Gg) in 13 worldwide regions from 2012 to 2015.</p> <p>Health impacts: Lung cancer rates, Concentrations of BaP, lifetime lung cancer deaths in worldwide regions, input-output tables of deaths from the perspectives of primary input, final sale and final consumption, net flow patterns of deaths, the contributions of different drivers to the changes in the lifetime lung cancer deaths in 13 worldwide regions from 2012 to 2015.</p>
Dataset - Global site-specific health impacts of fossil energy, steel mills, oil refineries and cement plants
<div> <div> <p>Climate change and particulate matter air pollution present major threats to human well-being by causing impacts on human health. Both are connected to key air pollutants such as carbon dioxide (CO<span><span><span>2</span></span></span>), primary fine particulate matter (PM<span><span><span>2.5</span></span></span>), sulfur dioxide (SO<span><span><span>2</span></span></span>), nitrogen oxides (NO<span><span><span>x</span></span></span>) and ammonia (NH<span><span><span>3</span></span></span>), which are primarily emitted from energy-intensive industrial sectors. We present the first study to consistently link a broad range of emission measurements for these substances with site-specific technical data, emission models, and atmospheric fate and effect models to quantify health impacts caused by nearly all global fossil power plants, steel mills, oil refineries and cement plants. The resulting health impact patterns differ substantially from far less detailed earlier studies due to the high resolution of included data, highlighting in particular the key role of emission abatement at individual coal-consuming industrial sites in densely populated areas of Asia (Northern and North-Eastern India, Java in Indonesia, Eastern China), Western Europe (Germany, Belgium, Netherlands) as well as in the US. Of greatest health concern are the high SO<span><span><span>2</span></span></span> emissions in India, which stand out due to missing flue gas treatment and cause a particularly high share of local health impacts despite a limited number of emission sites. At the same time, the massive infrastructure and export capacity build-up in China in recent years is taking a substantial toll on regional and global health and requires more stringent regulation than in the rest of the world due to unfavorable environmental conditions and high population densities. The current phase-out of highly emitting industries in Europe is found not to have started with sites having the greatest health impacts. Our detailed site-specific emission and impact inventory is able to highlight more effective alternatives and to track future progress.</p> </div> </div>
Supplementary material to Increasing health burdens driven by global trade induced air pollution
<p><span>Supplementary material to Increasing health burdens driven by global trade induced air pollution</span></p> <p><span>File Name: Supplementary Data 1 </span></p> <p><span>Description: The net flow tables of atmospheric emissions (kt) between worldwide regions in 2000, 2005, 2010, and 2015.</span></p> <p><span>File Name: Supplementary Data 2 </span></p> <p><span>Description: The PM2.5-related health burdens for all regions from 2000 to 2015 with confidence intervals</span></p> <p><span>File Name: Supplementary Data 3 </span></p> <p><span>Description: The contributions of different drivers to the changes in PM2.5-related health burdens for all regions from 2000 to 2015.</span></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.