Skip to content

Erler Zimmer Dog skeleton "Olaf", natural size

Original price $243.00 - Original price $243.00
Original price
$243.00 no VAT included
$243.00 - $243.00
Current price $243.00 no VAT included
Current price $196.60 excl. VAT
  • Dog skeleton "Olaf
  • Medium size mixed breed dog
  • Shoulder height: about 45 cm
  • Immobile spine
  • Removable tail and skull
  • Movable and removable legs
  • Ideal for courses and training
SKU 2765
GTIN: 4250395314299
PZN:
Manufacturer part number: VET1700
Product description

Erler Zimmer dog skeleton "Olaf", natural size in detail

The dog skeleton "Olaf" is an exact replica of a medium-sized mongrel dog. With a shoulder height of around 45 cm, it corresponds to the natural proportions. The spine was deliberately designed to be immobile in order to ensure a realistic appearance. Both the tail and the skull can be removed to allow detailed observation. The legs are movable and can also be removed. This model is particularly suitable for courses and further training in dog anatomy. The movable jaw, which is equipped with lifelike teeth, is particularly realistic.

Advantages

  • Natural size
  • Removable parts
  • Realistic jaw

Scope of delivery

  • 1 x Erler Zimmer dog skeleton "Olaf", natural size

Original price $243.00 - Original price $243.00
Original price
$243.00 no VAT included
$243.00 - $243.00
Current price $243.00 no VAT included
Current price $196.60 excl. VAT
Volume discount
Amount Discount Price
2+ 3% $235.71
4+ 5% $230.85

* Maximum 5 volume discounts applicable at the same time

Delivery: 1-2 working days

Free returns

Trusted Shops buyer protection

Klarna purchase on account

Ideally suited for

  • Hospitals
  • Healthcare centres
  • Training facilities
  • Research facilities

Customer Reviews

Based on 1 review
100%
(1)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
I
Isabelle F
Très bonne qualité

Tout à fait satisfaite de cet achat. La reproduction est fine et précise, très réaliste. Le format est assez pratique ni trop petit, ni trop grand .

You might also like this