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Modelled gridded population estimates for the Kasaï-Oriental Province in the Democratic Republic of Congo (2024) version 4.2
<h2><strong>Content</strong></h2> <p>This repository contains the input data and scripts used to create the modeled gridded population estimates for Kasaï-Oriental Province in the Democratic Republic of Congo. It also includes the grid-cell posterior distributions and scripts to aggregate them within user-defined geographic boundaries.</p> <p> In particular, this repository contains two compressed files (.zip):</p> <p><strong>1. <code>population_estimates.zip</code></strong></p> <ul> <li>Includes raster files (<code>.tif</code>) with summaries of population count posterior predictions at the grid-cell level, specifically the mean, median, lower credible interval, and upper credible interval.</li> <li>Includes spatial files (<code>.gpkg</code>) with summaries of population count posterior predictions at the health-area and health-zone levels, specifically the mean, median, lower credible interval, and upper credible interval.</li> </ul> <p><strong>2. <code>population_model.zip</code></strong></p> <p>This directory comprises five subdirectories with scripts, input data, and output data necessary to replicate the population model:</p> <ul> <li><code><strong>01_model_stan</strong></code>: Contains the Stan model, input data, and an R script (<code>01_model_stan.R</code>) with a function to run the model.</li> <li><code><strong>02_model_run</strong></code>: Includes an R script (<code>02_model_run.R</code>) for running the model, along with output data.</li> <li><code><strong>03_model_evaluate</strong></code>: Features a Quarto report template (<code>03_model_evaluate.qmd</code>) and model evaluation summary files(.pdf).</li> <li><code><strong>04_predict_posterior</strong></code>: Provides R scripts (<code>04_predict_posterior.R</code> and <code>04_predict_run.R</code>) for generating predictions, along with input and output data, namely the posterior predictions files (.rds).</li> <li><code><strong>05_aggregate_posterior</strong></code>: Contains R scripts (<code>05_aggregate_posterior.R</code> and <code>05_aggregate_run.R</code>) and associated input and output data, namely the population count posterior summaries as presented in the file <code>population_estimates.zip</code> .</li> </ul> <p>The work was carried out in <code>R</code> (version 4.4.0), with the packages <code>tidyverse</code> (version 2.0.0), <code>terra</code> (version 1.7-78), <code>sf</code> (version 1.0-16), <code>furrr</code> (version 0.3.1), <code>doParallel</code> (version 1.0.17), <code>foreach</code> (version 1.5.2), <code>rstudioapi</code> (version 0.16.0), and <code>rstan</code> (version 2.32.6), on macOS Sequoia (version 15.1.1). While the scripts are designed to be portable, minor adjustments may be required for compatibility with other operating systems.</p> <h2><strong>Important</strong></h2> <p>This version includes changes in the STAN model <code>10h_survey_survey_covariate_building_random_effect_hierarchy_building_covariate_density_fixed_effect_hierarchy_density.stan</code>. Consequentely, all the files generated in the previous versions are now changed.</p> <p> </p> <p>For inquiries regarding the model and the data, please contact Gianluca Boo at gianluca.boo@soton.ac.uk.</p>
National Checklists 2017: Republic of the Congo
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from the Republic of the Congo collected using effechecka and geonames polygons
National Checklists 2017: Democratic Republic of the Congo Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from the Democratic Republic of the Congo collected using effechecka and geonames polygons
National Checklists 2019: Republic of the Congo
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from the Republic of the Congo collected using effechecka and geonames polygons
National Checklists 2019: Democratic Republic of the Congo Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from the Democratic Republic of the Congo collected using effechecka and geonames polygons
Short-term trends in great ape density in a community-based conservation area in the eastern Democratic Republic of the Congo
<p>Provided are the following supporting data and R script for "Short-term trends in great ape density in a community-based conservation area in the eastern Democratic Republic of the Congo":</p> <ol> <li>A dataset with summarized transect-based ape sign data, <br>SupportingInformation_ApeSigns.xlsx, with coordinates made approximate.</li> <li>A randomized dataset, <br>RandomizedData_INLA.csv, derived from the original, used as INLA-modeling input. </li> <li>A reproducible R script as used to generate the INLA models: SSupporting_Information_exampleINLA_Rscript_new.doc</li> </ol>
Dataset: Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study
<p>Dataset underlying the publication "<strong>Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study</strong>" (Plos Medicine)</p> <p>Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021.</p> <p>Analysis of health workers' compliance with the treatment guidelines for severe malaria in the context of rolling out pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.</p>
Fig. 8 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 8. Climate graphs for Pawa (upper left), Mbiye (upper right), Oda (lower left), and Matonguiné (lower right). Upper line of squares: mean monthly maximum temperature, lower line of squares: mean monthly minimum temperature, bars: mean monthly precipitation (plotted using DIVA-GIS, data from Hijmans et al. 2005).
Fig. 6 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 6. Mandibles of the four known specimens of Glauconycteris superba Hayman, 1939 (upper row: dorsal view, lower row: lateral view). From left to right: holotype of G. s. sheila Hayman, 1947 (BMNH 47.10, ♀) [lateral picture flipped to fit the orientation of the other pictures], holotype of G. superba (RMCA 14765,?), new specimen from Mbiye Island (RMCA a1.097-M-3153, ♂), and the specimen from Matonguiné (RMCA 97.077-M-7719, ♂). Scale bar = 1 cm.
Fig. 7 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 7. Distribution map of G. superba showing the four currently known records from Ivory Coast, Ghana, and DRC; red dot: Mbiye Island. Land cover data from GLC2000 (Mayaux et al. 2004).
Fig. 5 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 5. Crania of the four known specimens of Glauconycteris superba Hayman, 1939 (left row: dorsal, middle row: ventral; right row: lateral). From top to bottom: specimen from Matonguiné (RMCA 97.077- M-7719, ♂), Mbiye Island (RMCA a1.097-M-3153, ♂), holotype of G. superba (RMCA 14765,?), and holotype of G. s. sheila Hayman, 1947 (BMNH 47.10, ♀). Scale bar = 1 cm
Fig. 3 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 3. Pelage pattern of the four known specimens of Glauconycteris superba Hayman, 1939 (upper row: dorsal, lower row: ventral). From left to right: holotype of G. s. sheila Hayman, 1947 (BMNH 47.10), holotype of G. superba (RMCA 14765), new specimen from Mbiye Island (RMCA a1.097-M-3153), and the specimen from Matonguiné (RMCA 97.077-M-7719). Scale bar = 2 cm.
Fig. 1 in Rediscovery of Glauconycteris superba Hayman, 1939 (Chiroptera: Vespertilionidae) after 40 years at Mbiye Island, Democratic Republic of the Congo
Fig. 1. Satellite image of the study area Mbiye Island, DRC (map data © 2012 Google & GeoEye). The blue point shows the collection locality of G. superba Hayman, 1939.
Figs 32–35 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 32–35. Platypalpus yangambensis sp. nov., paratype ♂. 32. Habitus, lateral view. 33. Head and thorax, lateral view. 34. Wing. 35. Mid leg, anterior view.
Figs 1–2 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 1–2. Platypalpus bolikoi sp. nov., holotype ♂. 1. Wing, abdomen and hind femur. 2. Mid femur, posterior view.
Figs 9–13 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 9–13. Platypalpus ikoso sp. nov., holotype ♂. 9. Hypandrium. 10. Left cercus. 11. Right epandrial lamella. 12. Epandrium with cerci, dorsal view. 13. Left epandrial lamella. Scale bars = 0.1 mm.
Figs 21–24 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 21–24. Platypalpus manjano sp. nov., holotype ♂. 21. Habitus, lateral view. 22. Wing. 23. Head and thorax, dorsal view. 24. Mid leg, anterior view.
Figs 6–8 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 6–8. Platypalpus ikoso sp. nov., holotype ♂. 6. Head, thorax, lateral view. 7. Mid legs, anterior view. 8. Wing.
Figs 28–31 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 28–31. Platypalpus saffradi sp. nov., holotype ♀. 28. Habitus, dorsal view. 29. Head and thorax, lateral view. 30. Head and thorax, dorsal view. 31. Mid leg, anterior view.
Figs 25–27 in New species of Platypalpus (Diptera: Hybotidae) from the Democratic Republic of the Congo
Figs 25–27. Platypalpus manjano sp. nov., holotype ♂. 25. Right epandrial lamella. 26. Epandrium with cerci, dorsal view. 27. Left epandrial lamella. Scale bars = 0.1 mm.
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International Brain Laboratory public data
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OpenNeuro
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