Nature Exploration Icons - Soft Duotone
Price in USD. Local taxes calculated at checkout.
Buy 3 or more, save 20% from this shop
- 1 ZIP download · PNG, SVG, JSON, TXT, ZIP formats · 24-unit SVG; PNG 64, 256, 512 px
- Buyer protection. Corrupt or mismatched files? Full refund.
Item details
Add gentle color to nature exploration with this 22-icon soft duotone set, using the woodland color family. Create observation categories for a walk outdoors. Trees, garden plants, small animals and landscape details offer visual labels for a nature notebook, with enough variety to distinguish a leaf finding from an animal sighting.
Soft tinted interiors sit beneath darker outlines, with a second color on selected details. Choose this edition for illustrated dividers and presentation headings where a little color helps group related topics.
Included drawings: tree round, pine tree, leaf, flower daisy, tulip, seedling, cactus, acorn, branch leaves, sunflower, butterfly, ladybug, owl, cat face, rabbit face, paw print, turtle, penguin, snail, seashell, flame camp, mountain sun.
The complete set is supplied in one ZIP, including individual SVG artwork (22 files), transparent PNG artwork at 64 x 64, 256 x 256 and 512 x 512 pixels (22 per size, 66 total), a reusable SVG symbol sprite, JSON inventory and TXT directions. SVG coordinates follow a 24-unit square.
File specs
| Formats | PNG, SVG, JSON, TXT, ZIP |
|---|---|
| Dimensions | 24-unit SVG; PNG 64, 256, 512 px |
| Color space | sRGB |
| Downloadable files | 1 ZIP download · PNG, SVG, JSON, TXT, ZIP formats |
| Category | Icons |
| Last updated |
What you’ll download
- zipedu-icons-0064.zip663 KB
License and usage
- Personal · $4.99
- Use the files in your own non-commercial projects: home prints, gifts, personal social posts and school work. Anything made with them can’t be sold.
- Commercial · $12.99
- Use the files in client work and in products you sell, up to 5,000 units across all products. Credit is appreciated but not required.
No license allows reselling, sharing or redistributing the original files as they are, including in free packs or AI training sets.












