Montana 10.5x45 - Verrekijkers BRESSER - Gratis gebruiksaanwijzing en handleiding
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| Producttype | Verrekijker |
| Merk | Bresser |
| Model | Montana 10,5x45 |
| Vergroting | 10,5x |
| Objectiefdiameter | 45 mm |
| Uittredepupil | 4,3 mm |
| Pupilafstand | 56-74 mm |
| Scherpstelling | Centraal en rechts dioptrisch |
| Gezichtsveld op 1000 m | 102 m |
| Lichaamsmateriaal | Aluminium en rubber |
| Optische behandeling | Meerlaags antireflectie |
| Waterdichtheid | Ja, stikstofgevuld |
| Afmetingen (L x B x H) | 169 x 154 x 60 mm |
| Gewicht | 780 g |
| Voeding | Geen (optisch) |
| Inclusief accessoires | Draagriem, etui, zonnekap, reinigingsdoekje |
| Aanbevolen gebruik | Natuurobservatie, jacht, sport |
| Onderhoud | Reinig de lenzen met een zachte, droge doek, vermijd oplosmiddelen |
| Veiligheidsvoorschriften | Kijk nooit rechtstreeks naar de zon met de verrekijker |
Veelgestelde vragen - Montana 10.5x45 BRESSER
Hoe stel ik de scherpstelling in op de Bresser Montana 10,5x45 verrekijker?
Draai aan de centrale scherpstelknop totdat u een scherp beeld krijgt. Stel vervolgens de dioptriering (op het rechter oculair) af om verschillen tussen uw ogen te compenseren, door eerst het rechteroog te sluiten.
Zijn de Montana verrekijkers waterdicht?
Ja, ze zijn stikstofgevuld en beschermd tegen condens en vocht, maar worden niet aanbevolen voor langdurige onderdompeling.
Wat is het gezichtsveld van dit model?
Het gezichtsveld is 102 meter op 1000 meter, wat overeenkomt met ongeveer 5,8 graden.
Kan ik de verrekijker gebruiken met een bril?
Ja, de oculairs hebben inklapbare rubberen oogkappen die zich aanpassen aan brillendragers voor optimaal comfort.
Hoe maak ik de lenzen schoon zonder ze te krassen?
Gebruik een blaasborstel om stof te verwijderen, daarna een microvezeldoek. Indien nodig licht bevochtigen met gedestilleerd water. Vermijd alle chemicaliën.
Zijn de verrekijkers compatibel met een statief?
Ja, ze hebben een statiefadapter (standaard schroefdraad) op de centrale as voor een stabiele bevestiging.
Wat te doen als het beeld aan één kant wazig is?
Dit kan komen door een verkeerde dioptrie-instelling of een parallellisme-probleem. Controleer eerst de dioptrie, en als het probleem aanhoudt, neem dan contact op met de klantenservice.
Wat is de minimale scherpstelafstand?
De minimale afstand is ongeveer 3 meter, zodat u ook dichtbijgelegen objecten kunt bekijken.
Zijn de Montana 10,5x45 verrekijkers geschikt voor astronomie?
Ze zijn geschikt voor incidentele hemelobservatie, maar hun matige vergroting beperkt het zicht op maan- of planeetdetails. Een statief wordt aanbevolen.
Waar kan ik reserveonderdelen voor deze verrekijker vinden?
Neem contact op met de Bresser klantenservice via hun website of een erkende dealer. Onderdelen zoals oculairdoppen of de riem zijn verkrijgbaar.
Gebruikersvragen over Montana 10.5x45 BRESSER
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GEBRUIKSAANWIJZING Montana 10.5x45 BRESSER
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| Category | Value | |---|---| | Category 1 | 3 | | Category 2 | 4 | | Category 3 | 5 | | Category 4 | 6 | | Category 5 | 7 | | Category 6 | 8 | | Category 7 | 9 | | Category 8 | 10 | | Category 9 | 11 | | Category 10 | 12 | | Category 11 | 13 | | Category 12 | 14 | | Category 13 | 15 | | Category 14 | 16 | | Category 15 | 17 | | Category 16 | 18 | | Category 17 | 19 | | Category 18 | 20 | | Category 19 | 21 | | Category 20 | 22 | | Category 21 | 23 | | Category 22 | 24 | | Category 23 | 25 | | Category 24 | 26 | | Category 25 | 27 | | Category 26 | 28 | | Category 27 | 29 | | Category 28 | 30 | | Category 29 | 31 | | Category 30 | 32 | | Category 31 | 33 | | Category 32 | 34 | | Category 33 | 35 | | Category 34 | 36 | | Category 35 | 37 | | Category 36 | 38 | | Category 37 | 39 | | Category 38 | 40 | | Category 39 | 41 | | Category 40 | 42 | | Category 41 | 43 | | Category 42 | 44 | | Category 43 | 45 | | Category 44 | 46 | | Category 45 | 47 | | Category 46 | 48 | | Category 47 | 49 | | Category 48 | 50 | | Category 49 | 51 | | Category 50 | 52 | | Category 51 | 53 | | Category 52 | 54 | | Category 53 | 55 | | Category 54 | 56 | | Category 55 | 57 | | Category 56 | 58 | | Category 57 | 59 | | Category 58 | 60 | | Category 59 | 61 | | Category 60 | 62 | | Category 61 | 63 | | Category 62 | 64 | | Category 63 | 65 | | Category 64 | 66 | | Category 65 | 67 | | Category 66 | 68 | | Category 67 | 69 | | Category 68 | 70 | | Category 69 | 71 | | Category 70 | 72 | | Category 71 | 73 | | Category 72 | 74 | | Category 73 | 75 | | Category 74 | 76 | | Category 75 | 77 | | Category 76 | 78 | | Category 77 | 79 | | Category 78 | 80 | | Category 79 | 81 | | Category 80 | 82 | | Category 81 | 83 | | Category 82 | 84 | | Category 83 | 85 | | Category 84 | 86 | | Category 85 | 87 | | Category 86 | 88 | | Category 87 | 89 | | Category 88 | 90 | | Category 89 | 91 | | Category 90 | 92 | | Category 91 | 93 | | Category 92 | 94 | | Category 93 | 95 | | Category 94 | 96 | | Category 95 | 97 | | Category 96 | 98 | | Category 97 | 99 | | Category 98 | nan | | Total: (bar chart) = (sum of bars for each category). The 'Value' in the table represents the sum of all bars for each category. The 'Category' column is not explicitly labeled but corresponds to the total bar height. The 'Category' column contains the absolute sum of the bars. The 'Number of bars' is also displayed on the right side.
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| X | Y | |---|---| | 0.1 | 0.9 | | 0.2 | 0.85 | | 0.3 | 0.8 | | 0.4 | 0.75 | | 0.5 | 0.7 | | 0.6 | 0.65 | | 0.7 | 0.6 | | 0.8 | 0.55 | | 0.9 | 0.5 | | 1.0 | 0.45 | | 1.1 | 0.4 | | 1.2 | 0.35 | | 1.3 | 0.3 | | 1.4 | 0.25 | | 1.5 | 0.2 | | 1.6 | 0.15 | | 1.7 | 0.1 | | 1.8 | 0.05 | | 1.9 | 0.0 | | 2.0 | -0.05 | | 2.1 | -0.1 | | 2.2 | -0.15 | | 2.3 | -0.2 | | 2.4 | -0.25 | | 2.5 | -0.3 | | 2.6 | -0.35 | | 2.7 | -0.4 | | 2.8 | -0.45 | | 2.9 | -0.5 | | 3.0 | -0.55 | | 3.1 | -0.6 | | 3.2 | -0.65 | | 3.3 | -0.7 | | 3.4 | -0.75 | | 3.5 | -0.8 | | 3.6 | -0.85 | | 3.7 | -0.9 | | 3.8 | -0.95 | | 3.9 | -1.0 | | 4.0 | -1.05 | | 4.1 | -1.1 | | 4.2 | -1.15 | | 4.3 | -1.2 | | 4.4 | -1.25 | | 4.5 | -1.3 | | 4.6 | -1.35 | | 4.7 | -1.4 | | 4.8 | -1.45 | | 4.9 | -1.5 | | 5.0 | -1.55 | | 5.1 | -1.6 | | 5.2 | -1.65 | | 5.3 | -1.7 | | 5.4 | -1.75 | | 5.5 | -1.8 | | 5.6 | -1.85 | | 5.7 | -1.9 | | 5.8 | -1.95 | | 5.9 | -2.0 | | 6.0 | -2.05 | | 6.1 | -2.1 | | 6.2 | -2.15 | | 6.3 | -2.2 | | 6.4 | -2.25 | | 6.5 | -2.3 | | 6.6 | -2.35 | | 6.7 | -2.4 | | 6.8 | -2.45 | | 6.9 | -2.5 | | 7.0 | -2.55 | | 7.1 | -2.6 | | 7.2 | -2.65 | | 7.3 | -2.7 | | 7.4 | -2.75 | | 7.5 | -2.8 | | 7.6 | -2.85 | | 7.7 | -2.9 | | 7.8 | -2.95 | | 7.9 | -3.0 | | 8.0 | -3.05 | | 8.1 | -3.1 | | 8.2 | -3.15 | | 8.3 | -3.2 | | 8.4 | -3.25 | | 8.5 | -3.3 | | 8.6 | -3.35 | | 8.7 | -3.4 | | 8.8 | -3.45 | | 8.9 | -3.5 | | 9.0 | -3.55 | | 9.1 | -3.6 | | 9.2 | -3.65 | | 9.3 | -3.7 | | 9.4 | -3.75 | | 9.5 | -3.8 | | 9.6 | -3.85 | | 9.7 | -3.9 | | 9.8 | -3.95 | | 9.9 | -4.0 | | Note: The actual values in the 'Y' column are not provided in the code image, so they are left blank in the image.
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| Category | Value | |---|---| | Category 1 | 0.5 | | Category 2 | 0.6 | | Category 3 | 0.7 | | Category 4 | 0.8 | | Category 5 | 0.9 | | Category 6 | 1.0 | | Category 7 | 1.1 | | Category 8 | 1.2 | | Category 9 | 1.3 | | Category 10 | 1.4 | | Category 11 | 1.5 | | Category 12 | 1.6 | | Category 13 | 1.7 | | Category 14 | 1.8 | | Category 15 | 1.9 | | Category 16 | 2.0 | | Category 17 | 2.1 | | Category 18 | 2.2 | | Category 19 | 2.3 | | Category 20 | 2.4 | | Category 21 | 2.5 | | Category 22 | 2.6 | | Category 23 | 2.7 | | Category 24 | 2.8 | | Category 25 | 2.9 | | Category 26 | 3.0 | | Category 27 | 3.1 | | Category 28 | 3.2 | | Category 29 | 3.3 | | Category 30 | 3.4 | | Category 31 | 3.5 | | Category 32 | 3.6 | | Category 33 | 3.7 | | Category 34 | 3.8 | | Category 35 | 3.9 | | Category 36 | 4.0 | | Category 37 | 4.1 | | Category 38 | 4.2 | | Category 39 | 4.3 | | Category 40 | 4.4 | | Category 41 | 4.5 | | Category 42 | 4.6 | | Category 43 | 4.7 | | Category 44 | 4.8 | | Category 45 | 4.9 | | Category 46 | 5.0 | | Category 47 | 5.1 | | Category 48 | 5.2 | | Category 49 | 5.3 | | Category 50 | 5.4 | | Category 51 | 5.5 | | Category 52 | 5.6 | | Category 53 | 5.7 | | Category 54 | 5.8 | | Category 55 | 5.9 | | Category 56 | 6.0 | | Category 57 | 6.1 | | Category 58 | 6.2 | | Category 59 | 6.3 | | Category 60 | 6.4 | | Category 61 | 6.5 | | Category 62 | 6.6 | | Category 63 | 6.7 | | Category 64 | 6.8 | | Category 65 | 6.9 | | Category 66 | 7.0 | | Category 67 | 7.1 | | Category 68 | 7.2 | | Category 69 | 7.3 | | Category 70 | 7.4 | | Category 71 | 7.5 | | Category 72 | 7.6 | | Category 73 | 7.7 | | Category 74 | 7.8 | | Category 75 | 7.9 | | Category 76 | 8.0 | | Category 77 | 8.1 | | Category 78 | 8.2 | | Category 79 | 8.3 | | Category 80 | 8.4 | | Category 81 | 8.5 | | Category 82 | 8.6 | | Category 83 | 8.7 | | Category 84 | 8.8 | | Category 85 | 8.9 | | Category 86 | 9.0 | | Category 87 | 9.1 | | Category 88 | 9.2 | | Category 89 | 9.3 | | Category 90 | 9.4 | | Category 91 | 9.5 | | Category 92 | 9.6 | | Category 93 | 9.7 | | Category 94 | 9.8 | | Category 95 | 9.9 | | Category 96 | -0.1 | | Category 97 | -0.2 | | Category 98 | -0.3 | | Category 99 | -0.4 | | Total (Total) = [sum of bars for each category] / [bar chart height] × [bar chart width] × [bar chart height]
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| Category | Value | |---|---| | Bar 1 | ■ | | Bar 2 | ■ | | Bar 3 | ■ | | Bar 4 | ■ | | Bar 5 | ■ | | Bar 6 | ■ | | Bar 7 | ■ | | Bar 8 | ■ | | Bar 9 | ■ |
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| x | y | |---|---| | 0.1 | 0.2 | | 0.2 | 0.3 | | 0.3 | 0.4 | | 0.4 | 0.5 | | 0.5 | 0.6 | | 0.6 | 0.7 | | 0.7 | 0.8 | | 0.8 | 0.9 | | 0.9 | 1.0 | | 1.0 | 1.1 | | 1.1 | 1.2 | | 1.2 | 1.3 | | 1.3 | 1.4 | | 1.4 | 1.5 | | 1.5 | 1.6 | | 1.6 | 1.7 | | 1.7 | 1.8 | | 1.8 | 1.9 | | 1.9 | 2.0 | | 2.0 | 2.1 | | 2.1 | 2.2 | | 2.2 | 2.3 | | 2.3 | 2.4 | | 2.4 | 2.5 | | 2.5 | 2.6 | | 2.6 | 2.7 | | 2.7 | 2.8 | | 2.8 | 2.9 | | 2.9 | 3.0 | | 3.0 | 3.1 | | 3.1 | 3.2 | | 3.2 | 3.3 | | 3.3 | 3.4 | | 3.4 | 3.5 | | 3.5 | 3.6 | | 3.6 | 3.7 | | 3.7 | 3.8 | | 3.8 | 3.9 | | 3.9 | 4.0 | | 4.0 | 4.1 | | 4.1 | 4.2 | | 4.2 | 4.3 | | 4.3 | 4.4 | | 4.4 | 4.5 | | 4.5 | 4.6 | | 4.6 | 4.7 | | 4.7 | 4.8 | | 4.8 | 4.9 | | 4.9 | 5.0 | | 5.0 | 5.1 | | 5.1 | 5.2 | | 5.2 | 5.3 | | 5.3 | 5.4 | | 5.4 | 5.5 | | 5.5 | 5.6 | | 5.6 | 5.7 | | 5.7 | 5.8 | | 5.8 | 5.9 | | 5.9 | 6.0 | | 6.0 | 6.1 | | 6.1 | 6.2 | | 6.2 | 6.3 | | 6.3 | 6.4 | | 6.4 | 6.5 | | 6.5 | 6.6 | | 6.6 | 6.7 | | 6.7 | 6.8 | | 6.8 | 6.9 | | 6.9 | 7.0 | | 7.0 | 7.1 | | 7.1 | 7.2 | | 7.2 | 7.3 | | 7.3 | 7.4 | | 7.4 | 7.5 | | 7.5 | 7.6 | | 7.6 | 7.7 | | 7.7 | 7.8 | | 7.8 | 7.9 | | 7.9 | 8.0 | | 8.0 | 8.1 | | 8.1 | 8.2 | | 8.2 | 8.3 | | 8.3 | 8.4 | | 8.4 | 8.5 | | 8.5 | 8.6 | | 8.6 | 8.7 | | 8.7 | 8.8 | | 8.8 | 8.9 | | 8.9 | 9.0 | | 9.0 | 9.1 | | 9.1 | 9.2 | | 9.2 | 9.3 | | 9.3 | 9.4 | | 9.4 | 9.5 | | 9.5 | 9.6 | | 9.6 | 9.7 | | 9.7 | 9.8 | | 9.8 | 9.9 | | 9.9 |10.0 | The data is a scatter plot with 'x' and 'y' as the variables, but the labels for the scatter plot are not explicitly provided in the image.
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| Category | Value | |---|---| | Category 1 | 100 | | Category 2 | 50 | | Category 3 | 30 | | Category 4 | 20 | | Category 5 | 15 | | Category 6 | 10 | | Category 7 | 8 | | Category 8 | 6 | | Category 9 | 5 | | Category 10 | 4 |
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| Category | Value | |---|---| | Category 1 | 3 | | Category 2 | 4 | | Category 3 | 5 | | Category 4 | 6 | | Category 5 | 7 | | Category 6 | 8 | | Category 7 | 9 | | Category 8 | 10 | | Category 9 | 11 | | Category 10 | 12 | | Category 11 | 13 | | Category 12 | 14 | | Category 13 | 15 | | Category 14 | 16 | | Category 15 | 17 | | Category 16 | 18 | | Category 17 | 19 | | Category 18 | 20 | | Category 19 | 21 | | Category 20 | 22 | | Category 21 | 23 | | Category 22 | 24 | | Category 23 | 25 | | Category 24 | 26 | | Category 25 | 27 | | Category 26 | 28 | | Category 27 | 29 | | Category 28 | 30 | | Category 29 | 31 | | Category 30 | 32 | | Category 31 | 33 | | Category 32 | 34 | | Category 33 | 35 | | Category 34 | 36 | | Category 35 | 37 | | Category 36 | 38 | | Category 37 | 39 | | Category 38 | 40 | | Category 39 | 41 | | Category 40 | 42 | | Category 41 | 43 | | Category 42 | 44 | | Category 43 | 45 | | Category 44 | 46 | | Category 45 | 47 | | Category 46 | 48 | | Category 47 | 49 | | Category 48 | 50 | | Category 49 | 51 | | Category 50 | 52 | | Category 51 | 53 | | Category 52 | 54 | | Category 53 | 55 | | Category 54 | 56 | | Category 55 | 57 | | Category 56 | 58 | | Category 57 | 59 | | Category 58 | 60 | | Category 59 | 61 | | Category 60 | 62 | | Category 61 | 63 | | Category 62 | 64 | | Category 63 | 65 | | Category 64 | 66 | | Category 65 | 67 | | Category 66 | 68 | | Category 67 | 69 | | Category 68 | 70 | | Category 69 | 71 | | Category 70 | 72 | | Category 71 | 73 | | Category 72 | 74 | | Category 73 | 75 | | Category 74 | 76 | | Category 75 | 77 | | Category 76 | 78 | | Category 77 | 79 | | Category 78 | 80 | | Category 79 | 81 | | Category 80 | 82 | | Category 81 | 83 | | Category 82 | 84 | | Category 83 | 85 | | Category 84 | 86 | | Category 85 | 87 | | Category 86 | 88 | | Category 87 | 89 | | Category 88 | 90 | | Category 89 | 91 | | Category 90 | 92 | | Category 91 | 93 | | Category 92 | 94 | | Category 93 | 95 | | Category 94 | 96 | | Category 95 | 97 | | Category 96 | 98 | | Category 97 | -100 | The chart displays the values for each category. The data is presented in a single column format with 'Category' as the index of the row. The values are explicitly labeled on the bars. There is no additional data series or trends present in this image. The values are estimated based on the provided code.
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Prohibition sign showing sun above eye and a diagonal line (no text or symbols)
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| x | y | |---|---| | 0.1 | 0.9 | | 0.2 | 0.85 | | 0.3 | 0.75 | | 0.4 | 0.65 | | 0.5 | 0.55 | | 0.6 | 0.45 | | 0.7 | 0.35 | | 0.8 | 0.25 | | 0.9 | 0.15 | | 1.0 | 0.05 |
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Merk : BRESSER
Model : Montana 10.5x45
Categorie : Verrekijkers