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322 results for “Ivory Coast”
National Checklists 2017: Ivory Coast 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 Ivory Coast collected using effechecka and geonames polygons
National Checklists 2019: Ivory Coast 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 Ivory Coast collected using effechecka and geonames polygons
Fig. 4 in Description of Gaertnera luteocarpa (Gentianales: Rubiaceae), with two subspecies, a new forest shrub species from Liberia, Ivory Coast and Ghana
Fig. 4. Distribution map. Gaertnera luteocarpa sp. nov. subsp. luteocarpa (stars) and G. luteocarpa subsp. sinoensis subsp. nov. (dots).
Fig. 3. A. Gaertnera spicata fruits. B. Gaertnera cooperi fruits. A from Lachenaud & Walters 1163. Photo O.L.S. Lachenaud. B in Description of Gaertnera luteocarpa (Gentianales: Rubiaceae), with two subspecies, a new forest shrub species from Liberia, Ivory Coast and Ghana
Fig. 3. A. Gaertnera spicata fruits. B. Gaertnera cooperi fruits. A from Lachenaud & Walters 1163. Photo O.L.S. Lachenaud. B from Jongkind, de Wet & Sambolah 12104. Photo C.C.H. Jongkind.
Fig. 2 in Description of Gaertnera luteocarpa (Gentianales: Rubiaceae), with two subspecies, a new forest shrub species from Liberia, Ivory Coast and Ghana
Fig. 2. Gaertnera luteocarpa sp. nov. subsp. sinoensis subsp. nov. A. Fruits and leaves. B. Close up of fruits. From Jongkind, Bilivogui & Daniels 9832. Photos C.C.H. Jongkind.
Fig. 1 in Description of Gaertnera luteocarpa (Gentianales: Rubiaceae), with two subspecies, a new forest shrub species from Liberia, Ivory Coast and Ghana
Fig. 1. Gaertnera luteocarpa sp. nov. subsp. luteocarpa. A. Habit in fruit. B. Fruits. C. Stipules. D. Twig showing ridges around base of petiole. A, B & D from Hawthorne & Gyakari 205a063; C from Hawthorne & Gyakari 201a223. Photos W.D. Hawthorne.
Fig. 2 in Rhaphiostylis minima Jongkind (Icacinaceae), a new liana species from Ivory Coast & Liberia
Fig. 2. Rhaphiostylis preussii Engl. showing flowers with the flattened filaments closing around the ovary while the petals are bending down. Photograph by Ehoarn Bidault (Missouri Botanical Garden) from Bidault 786 (MO) from Gabon.
Fig. 1. A–C. Rhaphiostylis elegans Engl. A. Flower B. Flower without petals and stamens. C. Leaf. D–G in Rhaphiostylis minima Jongkind (Icacinaceae), a new liana species from Ivory Coast & Liberia
Fig. 1. A–C. Rhaphiostylis elegans Engl. A. Flower B. Flower without petals and stamens. C. Leaf. D–G. Rhaphiostylis minima sp. nov. D. Branch with flowers. E. Flower. F. Flower without petals and stamens. G. Leaf. H–M. Rhaphiostylis preussii Engl. H. Flower. I. Flower without petals and stamens. J. Leaf. K. Flower. L. Flower without petals and stamens. M. Leaf. All flowers are on the same scale (scale bar with B) and all single leaves too (scale bar with G). A–C from Tchouto & Elad 3310 (WAG), D–G from W.de Wilde 1061 (WAG), H–J from Beentje 1353 B from Ivory Coast (WAG), K–M from Breteler 14204 from Gabon (WAG). Drawn by Hans de Vries.
Infrastructure Climate Resilience Assessment Data Starter Kit for Ivory Coast
<p> This starter data kit collects extracts from global, open datasets relating to climate hazards and infrastructure systems. </p> <p> These extracts are derived from global datasets which have been clipped to the national scale (or subnational, in cases where national boundaries have been split, generally to separate outlying islands or non-contiguous regions), using Natural Earth (2023) boundaries, and is not meant to express an opinion about borders, territory or sovereignty. </p> <p> Human-induced climate change is increasing the frequency and severity of climate and weather extremes. This is causing widespread, adverse impacts to societies, economies and infrastructures. Climate risk analysis is essential to inform policy decisions aimed at reducing risk. Yet, access to data is often a barrier, particularly in low and middle-income countries. Data are often scattered, hard to find, in formats that are difficult to use or requiring considerable technical expertise. Nevertheless, there are global, open datasets which provide some information about climate hazards, society, infrastructure and the economy. This "data starter kit" aims to kickstart the process and act as a starting point for further model development and scenario analysis. </p> <p>Hazards:</p> <ul> <li>coastal and river flooding (Ward et al, 2020)</li> <li>extreme heat and drought (Russell et al 2023, derived from Lange et al, 2020)</li> <li>tropical cyclone wind speeds (Russell 2022, derived from Bloemendaal et al 2020 and Bloemendaal et al 2022)</li> </ul> <p>Exposure:</p> <ul> <li>population (Schiavina et al, 2023)</li> <li>built-up area (Pesaresi et al, 2023)</li> <li>roads (OpenStreetMap, 2023)</li> <li>railways (OpenStreetMap, 2023)</li> <li>power plants (Global Energy Observatory et al, 2018)</li> <li>power transmission lines (Arderne et al, 2020)</li> </ul> <p> The spatial intersection of hazard and exposure datasets is a first step to analyse vulnerability and risk to infrastructure and people. </p> <p> To learn more about related concepts, there is a free short course available through the Open University on <a href="https://www.open.edu/openlearncreate/course/view.php?id=11539">Infrastructure and Climate Resilience</a>. This <a href="https://opsis.eci.ox.ac.uk/courses/2-infra-for-resil/">overview of the course</a> has more details. </p> <p> These Python libraries may be a useful place to start analysis of the data in the packages produced by this workflow: </p> <ul> <li> <a href="https://github.com/tomalrussell/snkit"><code>snkit</code></a> helps clean network data </li> <li> <a href="https://github.com/nismod/snail"><code>nismod-snail</code></a> is designed to help implement infrastructure exposure, damage and risk calculations </li> </ul> <p> The <a href="https://github.com/nismod/open-gira"><code>open-gira</code></a> repository contains a larger workflow for global-scale open-data infrastructure risk and resilience analysis. </p> <p> For a more developed example, some of these datasets were key inputs to a regional climate risk assessment of current and future flooding risks to transport networks in East Africa, which has a related online visualisation tool at <a href="https://east-africa.infrastructureresilience.org/">https://east-africa.infrastructureresilience.org/</a> and is described in detail in Hickford et al (2023). </p> <p><strong>References</strong></p> <ul> <li> Arderne, Christopher, Nicolas, Claire, Zorn, Conrad, & Koks, Elco E. (2020). Data from: Predictive mapping of the global power system using open data [Dataset]. In Nature Scientific Data (1.1.1, Vol. 7, Number Article 19). Zenodo. DOI: <a href="https://doi.org/10.5281/zenodo.3628142">10.5281/zenodo.3628142</a> </li> <li> Bloemendaal, Nadia; de Moel, H. (Hans); Muis, S; Haigh, I.D. (Ivan); Aerts, J.C.J.H. (Jeroen) (2020): STORM tropical cyclone wind speed return periods. 4TU.ResearchData. [Dataset]. DOI: <a href="https://doi.org/10.4121/12705164.v3">10.4121/12705164.v3</a> </li> <li> Bloemendaal, Nadia; de Moel, Hans; Dullaart, Job; Haarsma, R.J. (Reindert); Haigh, I.D. (Ivan); Martinez, Andrew B.; et al. (2022): STORM climate change tropical cyclone wind speed return periods. 4TU.ResearchData. [Dataset]. DOI: <a href="https://doi.org/10.4121/14510817.v3">10.4121/14510817.v3</a> </li> <li> Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. (2018) Global Power Plant Database. Published on Resource Watch and Google Earth Engine; <a href="http://resourcewatch.org/">resourcewatch.org/</a> </li> <li> Hickford et al (2023) Decision support systems for resilient strategic transport networks in low-income countries – Final Report. Available online: <a href="https://transport-links.com/hvt-publications/final-report-decision-support-systems-for-resilient-strategic-transport-networks-in-low-income-countries">https://transport-links.com/hvt-publications/final-report-decision-support-systems-for-resilient-strategic-transport-networks-in-low-income-countries</a> </li> <li> Lange, S., Volkholz, J., Geiger, T., Zhao, F., Vega, I., Veldkamp, T., et al. (2020). Projecting exposure to extreme climate impact events across six event categories and three spatial scales. Earth's Future, 8, e2020EF001616. DOI: <a href="https://doi.org/10.1029/2020EF001616">10.1029/2020EF001616</a> </li> <li> Natural Earth (2023) Admin 0 Map Units, v5.1.1. [Dataset] Available online: <a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-details/">www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-details</a> </li> <li> OpenStreetMap contributors, Russell T., Thomas F., nismod/datapkg contributors (2023) Road and Rail networks derived from OpenStreetMap. [Dataset] Available at <a href="https://global.infrastructureresilience.org">global.infrastructureresilience.org</a> </li> <li> Pesaresi M., Politis P. (2023): GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030) European Commission, Joint Research Centre (JRC) PID: <a href="http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea">data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea</a>, doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA </li> <li> Russell, T., Nicholas, C., & Bernhofen, M. (2023). Annual probability of extreme heat and drought events, derived from Lange et al 2020 (Version 2) [Dataset]. Zenodo. DOI: <a href="https://doi.org/10.5281/zenodo.8147088">10.5281/zenodo.8147088</a> </li> <li> Schiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A - GHS population grid multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) PID: <a href="http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe">data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe</a>, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE </li> <li> Ward, P.J., H.C. Winsemius, S. Kuzma, M.F.P. Bierkens, A. Bouwman, H. de Moel, A. Díaz Loaiza, et al. (2020) Aqueduct Floods Methodology. Technical Note. Washington, D.C.: World Resources Institute. Available online at: <a href="https://www.wri.org/publication/aqueduct-floods-methodology">www.wri.org/publication/aqueduct-floods-methodology</a>. </li> </ul>
Figs 3-8 in A second species of the family Eutrachytidae (Acari: Uropodina) in Africa: Mahnertellina paradoxa gen. nov., sp. nov. from the Ivory Coast
Figs 3-8. Mahnertellina paradoxa gen. nov., sp. nov., female holotype. (3) Setae and sculptural pattern on marginal shield. (4) Area of posterior idiosomal process. (5) Setae and ornamentation on caudal area of dorsal shield. (6) Tritosternum. (7) Ventral side of gnathosoma with palp. (8) Epistome.
Figs 13-16 in A second species of the family Eutrachytidae (Acari: Uropodina) in Africa: Mahnertellina paradoxa gen. nov., sp. nov. from the Ivory Coast
Figs 13-16. Photos of Mahnertellina paradoxa gen. nov., sp. nov., female holotype. (13) Dorsal view of idiosoma. (14) Anterior view of dorsal side of idiosoma. (15) Caudal view of dorsal side of idiosoma. (16) Ventral view of idiosoma.
Figs 9-12 in A second species of the family Eutrachytidae (Acari: Uropodina) in Africa: Mahnertellina paradoxa gen. nov., sp. nov. from the Ivory Coast
Figs 9-12. Mahnertellina paradoxa gen. nov., sp. nov., legs of female holotype in ventral view. (9) Leg I. (10) Leg II. (11) Leg III. (12) Leg IV.
Fig. 77 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 77. Vicirionessa equestris (Simon, 1903) gen. et comb. nov., ♂♀ (MNHN). A. Habitus of male, dorsal view. B. Palpal organ, ventral view. C. Palpal organ, ventrolateral view. D. Habitus of female, dorsal view. E. Epigyne.
Fig. 69 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 69. Thiratoscirtus tentativus (Szűts & Jocqué, 2001), ♂♀ (MNHN). A. Palpal organ, ventral view. B. Palpal organ, lateral view. C. Epigyne. D. Internal structure of epigyne.
Fig. 71 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 71. Thyene hesperia (Simon 1909), ♂♀ (MNHN). A. Habitus of male, dorsal view. B. Habitus of female, dorsal view.
Fig. 68 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 68. Thiratoscirtus tentativus (Szűts & Jocqué, 2001), ♂♀ (MNHN). A. Habitus of male, dorsal view. B. Frontal view of male. C. Palpal organ, ventral view. D. Palpal organ, lateral view. D. Epigyne.
Fig. 64 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 64. Tanzania mkomaziensis (Wesołowska & Russell-Smith, 2000), ♂♀ (MNHN). A. Habitus of male, dorsal view. B. Habitus of female, dorsal view. C. Epigyne.
Fig. 63 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 63. Sphericula globulifera gen. et sp. nov., holotype, ♀ (MNHN). A. Habitus, dorsal view. B. Habitus, dorsolateral view. C–D. Epigyne. E. Internal structure of epigyne.
Fig. 66 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 66. Thiratoscirtus silvestris sp. nov., holotype, ♂ (MNHN). A. Habitus, dorsal view. B. Habitus, dorsolateral view. C. Frontal view. D–E. Palpal organ, ventrolateral view.
Fig. 62 in Jumping spiders from Ivory Coast collected by J.-C. Ledoux (Araneae, Salticidae)
Fig. 62. Sonoita ledouxi sp. nov., paratypes, ♂♀ (MNHN). A. Palpal organ, ventral view. B. Palpal organ, lateral view. C. Epigyne. D. Internal structure of epigyne.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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