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Kaňkit je minerál s chemickým vzorcem Fe3+AsO4·3,5 H2O). Kaňkit je pojmenován podle lokality, která poskytla první exempláře Kaňk, Česká republika. Kaňkit se tvoří ve starých (1200 až 1400 let starých) důlních výsypkách. Po nálezu je žlutozelený, na vzduchu poté světlejší zelenožlutý.
Výskyt & Overview
Explore the main themes, entities and connections around Kaňkit. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
minerál fe3 aso4 h2o důlních výsypkách výskyt tvrdost kaňk jedná jeho roce 1976 vyskytuje hlášen chemickým vzorcem pojmenován lokality poskytla
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kaňkit | Barva | žlutozelená | 1.00 | infobox |
| Kaňkit | Chemický vzorec | Fe3+AsO4·3,5 H2O | 1.00 | infobox |
| Kaňkit | Hustota | ? g ⋅ cm−3 | 1.00 | infobox |
| Kaňkit | Kategorie | Arsenáty | 1.00 | infobox |
| Kaňkit | Tvrdost | 2–3 | 1.00 | infobox |
| Kaňkit | related to Externí odkazy | Obrázky | 0.60 | section |
| Kaňkit | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Kaňkit | related to Reference | Kaňkite | 0.60 | section |
| Kaňkit | related to Reference | Wikipedii | 0.60 | section |
| Kaňkit | related to Vlastnosti | Má | 0.60 | section |
| Kaňkit | related to Vlastnosti | Je | 0.60 | section |
| Kaňkit | related to Vlastnosti | Jeho | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.