[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[[["\u003cp\u003eThe iSDAsoil dataset provides the predicted mean and standard deviation of clay content at soil depths of 0-20 cm and 20-50 cm for Africa, with potential lower accuracy in dense jungle regions.\u003c/p\u003e\n"],["\u003cp\u003eThe OpenLandMap dataset offers clay content percentages at six standard depths (0, 10, 30, 60, 100, and 200 cm) globally (excluding Antarctica) at a 250 m resolution, based on machine learning predictions from soil profiles and samples.\u003c/p\u003e\n"]]],["The data provides information on soil clay content from two sources. The first, iSDAsoil, offers predicted mean and standard deviation of clay content for 0-20 cm and 20-50 cm depths in Africa, noting potential banding artifacts in dense jungle areas. The second, OpenLandMap, details clay content in percentages (kg/kg) at six standard depths (0-200 cm) globally, using machine learning with a 250 m resolution.\n"],null,[]]
