Montana 10.5x45 - Lornetki BRESSER - Bezpłatna instrukcja obsługi
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| Typ produktu | Lornetka |
| Marka | Bresser |
| Model | Montana 10,5x45 |
| Powikszenie | 10,5x |
| rednica obiektywu | 45 mm |
| renica wyjciowa | 4,3 mm |
| Odleglo renice | 56-74 mm |
| Regulacja ostroci | Centralna i prawa dioptryczna |
| Pole widzenia na 1000 m | 102 m |
| Materia obudowy | Aluminium i guma |
| Obróbka optyczna | Wielowarstwowa powoka antyrefleksyjna |
| Wodoszczelno | Tak, wypełnione azotem |
| Wymiary (d. x szer. x wys.) | 169 x 154 x 60 mm |
| Waga | 780 g |
| Zasilanie | Brak (optyczne) |
| Akcesoria w zestawie | Pasek transportowy, futera, osłona przeciwsłoneczna, ciereczka do czyszczenia |
| Zalecane zastosowanie | Obserwacja przyrody, owicetwo, sport |
| Konserwacja | Czyci soczewki mi kk, such ciereczk, unika rozpuszczalników |
| Zasady bezpieczestwa | Nigdy nie patrze bezporednio na słoce przez lornetk |
Często zadawane pytania - Montana 10.5x45 BRESSER
Jak wyregulowa ostro w lornetce Bresser Montana 10,5x45?
Obró rodkowe pokrto regulacji ostroci, a obraz bdzie wyra ny. Nastpnie wyreguluj piercie dioptryczny (na prawym okularze), aby skompensowa rónice midzy oczami, zamykajc najpierw prawe oko.
Czy lornetka Montana jest wodoodporna?
Tak, s wypełnione azotem i chronione przed parowaniem i wilgoci, ale nie zaleca si ich do długotrwałego zanurzenia.
Jakie jest pole widzenia tego modelu?
Pole widzenia wynosi 102 metry na 1000 metrów, co odpowiada okoo 5,8 stopnia.
Czy mog uywa lornetki z okularami?
Tak, okulary posiadaj skadane gumowe osłony, które dostosowuj si do osób noszcych okulary dla optymalnego komfortu.
Jak czyci soczewki bez ich zarysowania?
Uyj dmuchawki do usunicia kurzu, a nastpnie ciereczki z mikrofibry. W razie potrzeby lekko zwil wod destylowan. Unikaj wszelkich chemikaliów.
Czy lornetka jest kompatybilna ze statywem?
Tak, posiada adapter do statywu (standardowy gwint) wkrcony w centraln o, umoliwiajcy stabilne mocowanie.
Co zrobi, jeli obraz jest nieostry z jednej strony?
Moe to by spowodowane nieprawidłow regulacj dioptrii lub problemem z równoległoci. Najpierw sprawd dioptri, a jeli problem bdzie si utrzymywa, skontaktuj si z serwisem.
Jaka jest minimalna odległo ogniskowania?
Minimalna odległo wynosi okoo 3 metry, co umoliwia obserwacj bliskich obiektów.
Czy lornetka Montana 10,5x45 nadaje si do astronomii?
Nadaje si do okazjonalnej obserwacji nieba, ale umiarkowane powikszenie ogranicza widoczno szczegółów ksiycowych lub planetarnych. Zalecany jest statyw.
Gdzie znale czci zamienne do tej lornetki?
Skontaktuj si z działem obsługi klienta Bresser za porednictwem ich strony internetowej lub autoryzowanego sprzedawcy. Cci takie jak osłony okularów czy pasek s dostpne.
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INSTRUKCJA OBSŁUGI Montana 10.5x45 BRESSER
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Black-and-white collage of binoculars and a coastal beach under cloudy sky (no text or symbols visible)
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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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Abstract pattern of black squares on white background with no text or symbols
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Vertical black and white gradient bar with no text or symbols
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Vertical black and white gradient bar with no text or symbols
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Prohibition sign showing sun above eye and a diagonal line (no text or symbols)
scatter
| 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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Abstract pattern of black squares on white background (no text or symbols)
BRESSER®
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Informacje o produkcie
Marka : BRESSER
Model : Montana 10.5x45
Kategoria : Lornetki