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433 results for “Ghana”
Figure 2 in New species of many-plumed moths (Lepidoptera: Alucitidae) from Liberia and Ghana (Western Africa)
Figure 2. Alucita tropeki Ustjuzhanin & Kovtunovich sp. nov., male genitalia (Holotype, ZMJU, gen.pr. Nr. 202004).
Figure 4 in New species of many-plumed moths (Lepidoptera: Alucitidae) from Liberia and Ghana (Western Africa)
Figure 4. Alucita safi Ustjuzhanin & Kovtunovich sp. nov., male genitalia (Holotype, ZMJU, gen.pr. Nr. 202005).
Delphi Study Data: Rounds 1 and 2 for Enhancing Efficiency and Transparency in Ghana's Rental Housing Market
<p><span>The dataset includes responses from two rounds of a Delphi study conducted among experts in the real estate sector, policymakers, and government officials in Ghana. The data captures both quantitative and qualitative insights on factors influencing rental housing decisions.</span></p> <ul> <li><span>Round 1</span><span>: Initial ratings of factors such as rental cost, proximity to work, landlord responsiveness, and availability of amenities.</span></li> <li><span>Round 2</span><span>: Pairwise comparisons of the top factors identified in Round 1, used for AHP analysis to determine their relative importance.</span></li> </ul>
Baseline and Future (2050s and 2090s) Climate Suitability Scores for 116 Useful Tree Species and 220 locations from Côte d'Ivoire, Ghana and Guinea
<p>Climate suitability scores were calculated for 116 Useful Tree Species identified by filtering Top830+ native tree species from Côte d'Ivoire, Ghana and Guinea via the <a href="https://patspo.shinyapps.io/GlobalUsefulTrees/">GlobalUsefulNativeTrees</a> database and checking for the availability of globally observed environmental ranges from the <a href="https://doi.org/10.5281/zenodo.13132613">TreeGOER</a> database.</p> <ul> <li>Score = 3 means that in 'environmental space' the planting site occurs within the 25% - 75% species's range (as documented in the <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16914" target="_blank" rel="noopener">TreeGOER</a> ) for all variables</li> <li>Score = 2 corresponds to the 5% - 95% species's range for all variables. For some variables, the planting site occurs outside the 25% - 75% species's range.</li> <li>Score = 1 corresponds to the 0% - 100% species's range for all variables. For some variables, the planting site occurs outside the 5% - 95% species's range.</li> <li>Score = 0 means that the planting site occurs outside the 0% - 100% species's range for some of the variables</li> <li>Score = -1 means that the species is not documented by TreeGOER</li> </ul> <p>Locations corresponded to cities and weather stations from the three target countries sourced from the <a href="https://doi.org/10.5281/zenodo.10004594">CitiesGOER</a> and <a href="https://doi.org/10.5281/zenodo.12679832">ClimateForecasts</a> databases, respectively. Both these databases provide bioclimatic conditions for the historical (baseline) and three future climate change scenarios. Bioclimatic variables for future climates correspond to the median values from 24 Global Climate Models (GCMs) for Shared Socio-Economic Pathway (SSP) 1-2.6 for the 2050s (2041-2060), from 21 GCMs for SSP 3-7.0 for the 2050s and from 13 GCMs for SSP 5-8.5 for the 2090s.</p> <p>Investigations were made for two different sets of bioclimatic variables, allowing for sensitivity analysis:</p> <ul> <li>One set of bioclimatic variables included BIO01 (mean annual temperature), BIO12 (total annual precipitation), climaticMoistureIndex, monthCountByTemp10 (number of months with average temperature above 10 degrees), growingDegDays5, BIO05 (maximum temperature of the warmest month), BIO06 (minimum temperature of teh coldest month), BIO16 (precipitation of the wettest quarter), BIO17 (precipitation of the driest quarter) and MCWD (Maximum Climatological Water Deficit). These are the same bioclimatic variables available internally in the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> for climate filtering.</li> <li>One set only included BIO01 (mean annual temperature), which is the single bioclimatic variables available for the BGCI <a href="https://cat.bgci.org/">Climate Assessment Tool</a>.</li> </ul> <p>Calculations were made with similar scripting pipelines in the <em>R</em> statistical environment as documented here: <a href="https://rpubs.com/Roeland-KINDT/1168650">https://rpubs.com/Roeland-KINDT/1168650</a>. These scripts use similar calculations methods as those used for the global case studies of the TreeGOER manuscript (Kindt <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">2023</a>), and used internally in the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> online database. Interested readers should especially refer to the manuscript for further details on methods used and their justification.</p> <p>The maps show the frequency distribution of tree species with climate scores 3, 2, 1 and 0, excluding 18 species not documented by the TreeGOER.</p> <p> </p> <p><strong>References</strong></p> <ul> <li>Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</li> <li>Kindt, R. (2024). TreeGOER: Tree Globally Observed Environmental Ranges (2024.07) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.13132613" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13132613</a></li> <li>Kindt, R., Graudal, L., Lillesø, JP.B. <em>et al.</em> (2023). GlobalUsefulNativeTrees, a database documenting 14,014 tree species, supports synergies between biodiversity recovery and local livelihoods in landscape restoration. <em>Sci Rep</em> <strong>13</strong>, 12640. <a href="https://doi.org/10.1038/s41598-023-39552-1">https://doi.org/10.1038/s41598-023-39552-1</a></li> <li>Kindt, R. (2023). CitiesGOER: Globally Observed Environmental Data for 52,602 Cities with a Population ≥ 5000 (2023.10) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10004594" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10004594</a></li> <li>Kindt, R. (2024). ClimateForecasts: Globally Observed Environmental Data for 15,504 Weather Station Locations (2024.07) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.12679832" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12679832</a></li> <li>Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a></li> <li>Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. <em>Ecography</em>, <em>41</em>(2), 291–307. <a href="https://doi.org/10.1111/ecog.02880">https://doi.org/10.1111/ecog.02880</a></li> <li>Opendatasoft (2023) Geonames - All Cities with a population > 1000. <a href="https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/information/?disjunctive.cou_name_en&sort=name">https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/information/?disjunctive.cou_name_en&sort=name</a> (accessed 22-JULY-2023)</li> <li>Meteostat (2024) Weather stations: Lite dump with active weather stations. <a href="https://github.com/meteostat/weather-stations">https://github.com/meteostat/weather-stations</a> (accessed 17-FEB-2024)</li> </ul> <p> </p> <p><strong>Funding</strong></p> <p>The data sets and maps available in this archive were created within the context of an agreement between The International Centre for Research in Agroforestry (ICRAF) and WORLD UNIVERSITY SERVICE OF CANADA (WUSC) for a <em><a href="https://ceci.org/en/projects/nature-based-climate-adaptation-guinean-forest-west-africa-sbn-guinean-forests">Nature-based climate adaptation project in the Guinean forests of West Africa (NbS Guinean Forests)</a></em> funded by <a href="https://www.international.gc.ca/global-affairs-affaires-mondiales/home-accueil.aspx?lang=eng">Global Affairs Canada</a>.</p>
Linked collectors and determiners for: The water mite family Aturidae Thor (Acari: Hydrachnidia) from Ghana, with the description of twelve new species.
Natural history specimen data linked to collectors and determiners held within, "The water mite family Aturidae Thor (Acari: Hydrachnidia) from Ghana, with the description of twelve new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/560e4a43-69cb-46b4-99f7-40d583fe455e">https://bionomia.net/dataset/560e4a43-69cb-46b4-99f7-40d583fe455e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/560e4a43-69cb-46b4-99f7-40d583fe455e">https://gbif.org/dataset/560e4a43-69cb-46b4-99f7-40d583fe455e</a>. Formatted as a Frictionless Data package.
BIO4AFRICA_Survey Data Ghana - Analysis of the needs and contexts of target farmers and rural communities with a gender lens_D1.1_101022_1
<p>The results of this survey support the identification of the needs, challenges, and context of target farmers and rural communities and how, why and under which circumstances the social, economic, regulatory, institutional, market and political circumstances could act as a barrier or an enabler for the uptake of bio-based solutions.</p>
Dataset Literature Review Digital Forensic and Ghana
<p>Bahwa data ini digunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci <em>"Digital Forensic </em>dan<em> Ghana"</em></p>
Dataset Literature Review Digital forensic AND Ghana
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "Digital Forensic" dan "Ghana"</p>
CCG Starter Data Kit: Ghana
<p>A starter data kit for Ghana</p>
Assessment of Capacity of the primary Health System in the management of noncommunicable Diseases in Ghana
<p>This questionnaire was used to assess the capacity of primary health system in the management of NCDs</p>
Dataset and R script: a longitudinal hospital study of febrile children in Ghana
<p>This is the dataset and R script accompanying the manuscript "Fever in focus: symptoms, diagnoses, and treatment of febrile children in Ghana, a longitudinal hospital study."</p>
Knowledge and perceptions of risk factors for maternal mortality among postnatal mothers in Hohoe Municipality of Volta Region, Ghana
<p>This de-identified limited dataset from which the manuscript if spread. It dataset from primary research conducted to assess knowledge of postnatal mothers about clinical risk factors and perceptions about socio-cultural and health system-related factors affecting maternal mortality.</p>
Replication data for: Consumer preference testing of boiled sweetpotato (Ipomoea batatas (L.) Lam.) using crowdsourced citizen science in Ghana and Uganda
<p>Crowdsourced citizen science is an emerging approach in plant sciences. The triadic comparison of technologies (tricot) approach has been successfully utilised by demand-led breeding programmes to identify varieties for dissemination suited to specific geographic and climatic regions. An important feature of this approach is the independent way in which farmers individually evaluate the varieties on their own farms as ‘citizen scientists’. In this study, we adapted this approach to evaluate consumer preferences to boiled sweetpotato (<em>Ipomoea batatas</em> (L.) Lam) roots of 21 advanced breeding materials and varieties in Ghana and 6 released varieties in Uganda. We were specifically interested in evaluating if a more independent style of evaluation (home tasting) would produce results comparable to an approach that involves control over preparation (centralised tasting). We compiled data from 1,433 participants who individually contributed to a home tasting (de-centralised) and a centralised tasting trial in Ghana and Uganda, evaluating overall acceptability, and indicating the reasons for their preferences. Geographic factors showed important contribution to define consumers’ preference to boiled sweetpotato genotypes. Home and centralised tasting approaches gave similar rankings for overall acceptability, which was strongly correlated to taste. In both Ghana and Uganda, it was possible to robustly identify superior sweetpotato genotypes from consumers’ perspectives. Our results indicate that the tricot approach can be successfully applied to consumer preference studies.</p>
Factors associated with hypertension and diabetes in rural communities in the Asante Akim North Municipality of Ghana
<p>Hypertension and diabetes are leading non-communicable diseases driving an epidemic of cardiovascular diseases in Ghana. Understanding the factors associated with the occurrence of hypertension and diabetes especially in rural settings is crucial in designing interventions to improve awareness, detection, and control. The study assessed factors associated with hypertension and diabetes in Asante Akim North Municipality, a rural community in the central belt of Ghana. A cross-sectional study design involving 2,576 participants. Data were collected using a structured questionnaire to cover socio-demographic characteristics, blood pressure measurement, anthropometric measurement, biochemical parameters, and modifiable risk factors of hypertension and diabetes. Descriptive statistics on the outcome were done. Factors associated with hypertension or diabetes were assessed using a multivariable logistic regression model. he study found that participants' mean age was 35 years (SD) with<strong> </strong>a slight female preponderance representing 53.88%. Age, marital status, educational status, and occupation positively predict the occurrence of hypertension. The prevalence of hypertension and diabetes was found to be 30.9% and 17.7% respectively. The Community members above 18 years of age have increased odds of developing hypertension [18-44 years (aOR=1.99, CI=1.06-3.71, p<0.05), 45-64 years (aOR=6.12, CI=3.15-11.9, p<0.001) and >64 years (aOR=14.55, CI=7.17-29.53, p<0.001)]. Community members who were fishing/farming (aOR=0.45, CI=0.26-0.76, p<0.01)<em> </em>and being a student/apprentices <em>(aOR=0.11, CI=0.02-0.56)</em> were at reduced odds of developing diabetes. Participants who take snacks <em>(aOR=</em><em>0.64, CI=0.41-0.99, p<0.05)</em> during working hours had reduced odds of developing diabetes. The study concludes that<strong> c</strong>ommonly known risk factors such as dietary behaviour, alcohol intake, tobacco use, and physical activities were not associated with hypertension or diabetes in rural Ghana. Social demographic characteristics and poor health screening practices were the main predictors of hypertension and diabetes in rural areas. Urgent steps at improving health education and population-level screening would be pivotal in controlling hypertension and diabetes.</p>
Soil profile pits, carbon and vegetation data of an old Anogeissus grove in Mole National Park, Ghana
<p>Formation of forest islands in West Africa has been linked to anthropogenic soil improvement resulting in luxuriant tree growth in otherwise open savanna landscapes. However, there is limited understanding of how such unique ecosystems modulate soil carbon (C) dynamics and nutrient cycling. In this study, we report soil nutrient characteristics and two distinct soil organic carbon pools of Anogeissus grove (forest island) associated with abandoned village sites of the Mole National Park in the Guinea savanna or tropical continental climatic zone of Ghana, taking opportunity of a previously published study in Biotropica in 1978. We compared present-day differences in soil characteristics between the previously studied forest grove and adjoining open savanna in the Park and evaluated vegetation dynamics since first measurement in 1974. Overall, we see changes related to self-thinning and expansion of the grove on a decadal timescale. Soil organic matter and available phosphorus contents were greater in the grove and increased by 19.6 and 18.7%, respectively over time, showing persistence after four decades. Mineral associated organic carbon (MAOC) differed significantly (p<0.05) between the vegetation types, being 3.44% in the grove and 2.34% in the savanna. The grove was ca. 25% greater in particulate organic carbon (POC) content than the savanna. In both vegetation types, >55% of carbon was stabilized in the mineral fraction. Our study demonstrates long-term human impacts on soil and vegetation and offers a clear nature-based solution for climate change mitigation through sustainable land management by indigenous people towards achievement of the '4p1000' initiative.</p>
Predictors of hypertension among diabetic patients in the Ejisu Municipality of Ghana
<p><strong>Introduction: </strong>The co-existence of hypertension with diabetes mellitus among diabetic patients is a setback to public health. About 40–75% of diabetic patients present with hypertension. The co-existence of hypertension and diabetes can accelerate complications such as stroke, myocardial infarction, nephropathy, and mortality. Available data indicate the devastating effects of hypertension and diabetes on individuals, families, and the economy as catastrophic. Therefore, knowing the predictors of hypertension among diabetic patients would inform the lifestyle and management of the two conditions.</p> <p><strong>Objective:</strong> The study focused on predictors of hypertension among diabetic patients in the Ejisu Municipality of Ghana.</p> <p><strong>Methods: </strong>The study employed a quantitative approach with a sample size of 120. Data were collected on sociodemographic characteristics, family history, 24-hour dietary recall, blood pressure, fasting blood glucose, glycated haemoglobin, total lipid profile, and anthropometrics. Data were analyzed using SPSS version 27.</p> <p><strong>Results:</strong> Out of 120 respondents, 85% were females with 77.5% above 50 years of age. A majority (66.7%) had a family history of diabetes with 76.7% having hypertension as a comorbidity. Fasting blood glucose was found to be 8.519 times more likely to present with hypertension. Systolic blood pressure, carbohydrate, and sodium intakes were 6.1%, 2.9%, and 0.1% respectively. However, diabetic patients with high HbA1c were 97% less likely not to present with hypertension.</p> <p><strong>Conclusion:</strong> Hypertension was found to be the most common comorbidity among diabetic patients in Ghana. Glycaemic control, systolic blood pressure, and dietary factors specifically carbohydrate and sodium intake were significant predictors of hypertension among the study participants.</p>
Current and Future Flood maps for Flood risk assessment under the Shared Socioeconomic Pathways in the Greater Accra region, Ghana
<p>The study used 15 flood conditioning factors in simulating current and future flood conditions under the SSP scenarios using the Frequency Ratio (FR) model </p>
Savanna plant and soil carbon data from different burn seasons and histories across Mole National Park, Ghana
<p>Aboveground plant pool and belowground (soil plus root) carbon data for a space-for-time substitution survey of different burn seasons and histories across Mole National Park, Ghana. Carbon data was collected to determine the impact of unintentional late growing season wildfires on carbon storage in a protected area dominated by early growing season prescribed burning land management. The methodology and findings from the study are detailed in the below publication:</p> <p>Awuah J, Smith SW, Speed JDM, Graae BJ. 2022. Can seasonal fire management reduce the risk of carbon loss from wildfires in a protected Guinea savanna? Ecosphere, e4283. https://doi. 88 org/10.1002/ecs2.4283 </p> <p>This data repository contains the following data (and descriptive metadata): </p> <p>(1) Study_site_coordinates: locations for 28 sites surveyed in 2016 as part of an ecosystem carbon stock assessment</p> <p>(2) Aboveground_carbon: aboveground tree, shrub, herbaceous vegetation, deadwood and litter carbon stocks estimated from either destructive biomass sampling or allometric equations. Aboveground carbon data are presented per site. </p> <p>(3) LOI_to_carbon_conversion: a subset of soil samples were analysed for both loss on ignition (LOI) and automated dry combustion using an elemental analyser, the latter more accurate for carbon determination and used to correct LOI values. </p> <p>(4) Belowground_carbon: combined soil and root carbon collected collected to a maximum depth of 17 cm, and split into four soil layers (0-2 cm, 2-7 cm, 7-12 cm and 12-17 cm). </p> <p>MCD14DL MODIS Active Fire Detections data used to defined different burn seasons and histories for sites has not been uploaded and is freely available from online sources detailed in the journal article. </p>
Illumina HD genotypes for 3,092 cattle from Burkina Faso, Ghana, Nigeria and Tanzania for: "Assessment of genotyping array performance for genome-wide association studies and imputation in African cattle"
<p>Raw HD data for Riggio et al. 2022: Assessment of genotyping array performance for genome-wide association studies and imputation in African cattle</p> <p>This repository contains the raw Illumina HD genotypes (i.e., 777,962 SNPs) mapped to the bovine UMD3.1 genome assembly for 3,092 animals from four African countries (namely Burkina Faso, Ghana, Nigeria and Tanzania). </p>
Technoeconomic dataset for long-term energy systems modelling in Ghana (2015-2065)
<div> <p>Technoeconomic data and assumptions for energy systems modelling in Ghana, including capital cost, fixed cost, variable cost, power plants' characteristics (e.g. list of existing power plants in Ghana, operational life, efficiency, capacity factors), fuels' prices and emission intensities, power demand/consumption/generation, residual capacity, fossil fuels' reserves, and renewable energy potentials in 2015-2065. This document is complementary to CCG Starter Data Kit for Ghana (Allington et al., 2023) as it updates it to ensure the OSeMOSYS models are closer to the Ghanaian context.</p> </div>
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International Brain Laboratory public data
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OpenNeuro
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