Data for: Prevalent fingerprint of marine macroalgae in Arctic surface sediments
Data files
Jun 29, 2023 version files 8.85 GB
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1_1_R1_cut.fastq
57.97 MB
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1_1_R2_cut.fastq
57.66 MB
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10_10_R1_cut.fastq
42.13 MB
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10_10_R2_cut.fastq
41.66 MB
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11_11_R1_cut.fastq
49.23 MB
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11_11_R2_cut.fastq
48.53 MB
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12_12_R1_cut.fastq
36.40 MB
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12_12_R2_cut.fastq
35.62 MB
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13_13_R1_cut.fastq
327.96 KB
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13_13_R2_cut.fastq
322.05 KB
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14_14_R1_cut.fastq
185.50 KB
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14_14_R2_cut.fastq
185.92 KB
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15_15_R1_cut.fastq
45.80 MB
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15_15_R2_cut.fastq
45.65 MB
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16_16_R1_cut.fastq
49.67 MB
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16_16_R2_cut.fastq
48.80 MB
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17_17_R1_cut.fastq
46.49 MB
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17_17_R2_cut.fastq
46.25 MB
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18_18_R1_cut.fastq
53.68 MB
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18_18_R2_cut.fastq
53.26 MB
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19_19_R1_cut.fastq
63.75 MB
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19_19_R2_cut.fastq
63.24 MB
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2_2_R1_cut.fastq
286.08 KB
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2_2_R2_cut.fastq
284.30 KB
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20_20_R1_cut.fastq
815.29 KB
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20_20_R2_cut.fastq
819.13 KB
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21_21_R1_cut.fastq
20.36 MB
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21_21_R2_cut.fastq
20.38 MB
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22_22_R1_cut.fastq
241.88 KB
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22_22_R2_cut.fastq
240.36 KB
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23_23_R1_cut.fastq
99.41 MB
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23_23_R2_cut.fastq
99.53 MB
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24_24_R1_cut.fastq
66.24 MB
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24_24_R2_cut.fastq
65.84 MB
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25_25_R1_cut.fastq
37.76 MB
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25_25_R2_cut.fastq
37.47 MB
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26_26_R1_cut.fastq
42.94 MB
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26_26_R2_cut.fastq
42.41 MB
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27_27_R1_cut.fastq
46.07 MB
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27_27_R2_cut.fastq
45.52 MB
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28_28_R1_cut.fastq
49.71 MB
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28_28_R2_cut.fastq
49.29 MB
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29_29_R1_cut.fastq
80.83 MB
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29_29_R2_cut.fastq
83.40 MB
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3_3_R1_cut.fastq
252.32 KB
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3_3_R2_cut.fastq
246.58 KB
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30_30_R1_cut.fastq
63.41 MB
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30_30_R2_cut.fastq
62.76 MB
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31_31_R1_cut.fastq
26.46 MB
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31_31_R2_cut.fastq
30.31 MB
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32_32_R1_cut.fastq
42.83 MB
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32_32_R2_cut.fastq
41.99 MB
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33_33_R1_cut.fastq
43.74 MB
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33_33_R2_cut.fastq
43.19 MB
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34_34_R1_cut.fastq
13.67 MB
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34_34_R2_cut.fastq
13.48 MB
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35_35_R1_cut.fastq
54.28 MB
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35_35_R2_cut.fastq
53.32 MB
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36_36_R1_cut.fastq
49.90 MB
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36_36_R2_cut.fastq
49.40 MB
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37_37_R1_cut.fastq
255.06 KB
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37_37_R2_cut.fastq
248.64 KB
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38_38_R1_cut.fastq
76.27 MB
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38_38_R2_cut.fastq
75.20 MB
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39_39_R1_cut.fastq
4.73 MB
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39_39_R2_cut.fastq
4.78 MB
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4_4_R1_cut.fastq
51.79 MB
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4_4_R2_cut.fastq
51.38 MB
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40_40_R1_cut.fastq
41.49 MB
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40_40_R2_cut.fastq
40.74 MB
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41_41_R1_cut.fastq
49.51 MB
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41_41_R2_cut.fastq
49.06 MB
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42_42_R1_cut.fastq
51.65 MB
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42_42_R2_cut.fastq
50.95 MB
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43_43_R1_cut.fastq
45.68 MB
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43_43_R2_cut.fastq
45.01 MB
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44_44_R1_cut.fastq
56.73 MB
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44_44_R2_cut.fastq
56.21 MB
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45_45_R1_cut.fastq
75.91 MB
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45_45_R2_cut.fastq
75.25 MB
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46_46_R1_cut.fastq
64.47 MB
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46_46_R2_cut.fastq
63.83 MB
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47_47_R1_cut.fastq
66.80 MB
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47_47_R2_cut.fastq
66.21 MB
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48_48_R1_cut.fastq
72.24 MB
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48_48_R2_cut.fastq
70.90 MB
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49_49_R1_cut.fastq
38.76 MB
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49_49_R2_cut.fastq
38.26 MB
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5_5_R1_cut.fastq
47.50 MB
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5_5_R2_cut.fastq
47.19 MB
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50_50_R1_cut.fastq
77.01 MB
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50_50_R2_cut.fastq
75.95 MB
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51_51_R1_cut.fastq
71.10 MB
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51_51_R2_cut.fastq
69.96 MB
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52_52_R1_cut.fastq
65.28 MB
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52_52_R2_cut.fastq
64.73 MB
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53_53_R1_cut.fastq
73.69 MB
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53_53_R2_cut.fastq
73 MB
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54_54_R1_cut.fastq
2.54 MB
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54_54_R2_cut.fastq
2.53 MB
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55_55_R1_cut.fastq
58.08 MB
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55_55_R2_cut.fastq
57.55 MB
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56_56_R1_cut.fastq
68.95 MB
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56_56_R2_cut.fastq
67.57 MB
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57_57_R1_cut.fastq
43.85 MB
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57_57_R2_cut.fastq
43.55 MB
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58_58_R1_cut.fastq
43.06 MB
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58_58_R2_cut.fastq
42.87 MB
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59_59_R1_cut.fastq
65 MB
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59_59_R2_cut.fastq
64.54 MB
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6_6_R1_cut.fastq
2.91 MB
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6_6_R2_cut.fastq
2.87 MB
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60_60_R1_cut.fastq
56.04 MB
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60_60_R2_cut.fastq
55.83 MB
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61_61_R1_cut.fastq
53.67 MB
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61_61_R2_cut.fastq
53.26 MB
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62_62_R1_cut.fastq
621.38 KB
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62_62_R2_cut.fastq
617.54 KB
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63_63_R1_cut.fastq
556.66 KB
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63_63_R2_cut.fastq
578.98 KB
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64_64_R1_cut.fastq
47.39 MB
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64_64_R2_cut.fastq
46.63 MB
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65_65_R1_cut.fastq
475.01 KB
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65_65_R2_cut.fastq
472.79 KB
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66_66_R1_cut.fastq
60.88 MB
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66_66_R2_cut.fastq
60.02 MB
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67_67_R1_cut.fastq
59.91 MB
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67_67_R2_cut.fastq
58.86 MB
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68_68_R1_cut.fastq
66.47 MB
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68_68_R2_cut.fastq
65.76 MB
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69_69_R1_cut.fastq
120.76 MB
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69_69_R2_cut.fastq
119.63 MB
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7_7_R1_cut.fastq
58.42 MB
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7_7_R2_cut.fastq
58.04 MB
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70_70_R1_cut.fastq
47.72 MB
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70_70_R2_cut.fastq
47.25 MB
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71_71_R1_cut.fastq
38.23 MB
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71_71_R2_cut.fastq
37.94 MB
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72_72_R1_cut.fastq
3.74 MB
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72_72_R2_cut.fastq
3.68 MB
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73_73_R1_cut.fastq
234.22 KB
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73_73_R2_cut.fastq
230.72 KB
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74_74_R1_cut.fastq
61.79 MB
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74_74_R2_cut.fastq
60.87 MB
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75_75_R1_cut.fastq
78.98 MB
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75_75_R2_cut.fastq
77.93 MB
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76_76_R1_cut.fastq
48.95 MB
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76_76_R2_cut.fastq
48.71 MB
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77_77_R1_cut.fastq
85.33 MB
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77_77_R2_cut.fastq
84.65 MB
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78_78_R1_cut.fastq
60.24 MB
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78_78_R2_cut.fastq
59.66 MB
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79_79_R1_cut.fastq
43.03 MB
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79_79_R2_cut.fastq
42.73 MB
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8_8_R1_cut.fastq
43.03 MB
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8_8_R2_cut.fastq
42.22 MB
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80_80_R1_cut.fastq
26.29 MB
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80_80_R2_cut.fastq
25.92 MB
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81_81_R1_cut.fastq
63.38 MB
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81_81_R2_cut.fastq
62.82 MB
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82_82_R1_cut.fastq
48.49 MB
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82_82_R2_cut.fastq
47.89 MB
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83_83_R1_cut.fastq
65.44 MB
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83_83_R2_cut.fastq
64.89 MB
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84_84_R1_cut.fastq
36.97 MB
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84_84_R2_cut.fastq
36.87 MB
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85_85_R1_cut.fastq
60.72 MB
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85_85_R2_cut.fastq
60.46 MB
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86_86_R1_cut.fastq
55.71 MB
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86_86_R2_cut.fastq
55.28 MB
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87_87_R1_cut.fastq
40.25 MB
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87_87_R2_cut.fastq
40.12 MB
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88_88_R1_cut.fastq
48.33 MB
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88_88_R2_cut.fastq
47.64 MB
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89_89_R1_cut.fastq
66.02 MB
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89_89_R2_cut.fastq
65.74 MB
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9_9_R1_cut.fastq
40.07 MB
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9_9_R2_cut.fastq
39.72 MB
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90_90_R1_cut.fastq
60.86 MB
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90_90_R2_cut.fastq
60.41 MB
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91_91_R1_cut.fastq
44.14 MB
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91_91_R2_cut.fastq
44.22 MB
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92_92_R1_cut.fastq
49.80 MB
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92_92_R2_cut.fastq
49.55 MB
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93_93_R1_cut.fastq
53.90 MB
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93_93_R2_cut.fastq
54 MB
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94_94_R1_cut.fastq
37.12 MB
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94_94_R2_cut.fastq
37.06 MB
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95_95_R1_cut.fastq
42.21 MB
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95_95_R2_cut.fastq
42.10 MB
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96_96_R1_cut.fastq
63.04 MB
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96_96_R2_cut.fastq
62.30 MB
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Arctic_surface__18smini_mb70_dryad.csv
4.77 MB
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assign_tax_mixlib_updatedjan21_mb70_dryad.csv
3.81 MB
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Disko_video_transekter_vegetation_2009_dryad.xlsx
26.17 KB
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eDNA_samples_Arctic_coord_1occs_x.csv
8.16 KB
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Index_Phylo_Euka02_eDNA_BR345_dryad.xlsx
20.60 KB
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README.md
1.35 KB
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Sources_grouped_average_SI_greenland_Algae_POM_Eelgrass_terri_updated_Feb22.csv
276 B
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Target_SI_Greenland.csv
1.36 KB
Abstract
Macroalgal forests export much of their production, partly supporting food webs and carbon stocks beyond their habitat, but evidence of their contribution in sediment carbon stocks is poor. We test the hypothesis that macroalgae contribute to carbon stocks in arctic marine sediments. We used environmental DNA (eDNA) fingerprinting on a large-scale set of surface sediment samples from Greenland and Svalbard. We evaluated eDNA results by comparing with traditional survey and tracer methods. The eDNA-based survey identified macroalgae in 94% of the sediment samples covering shallow nearshore areas to 1,460 m depth and 350 km offshore, with highest sequence abundance nearshore and with dominance of brown macroalgae. Overall, the eDNA results reflected the potential source communities of macroalgae and eelgrass assessed by traditional surveys, with the most abundant orders being common among different methods. A stable isotope analysis showed a considerable contribution from macroalgae in sediments although with high uncertainty, highlighting eDNA as a great improvement and supplement for documenting macroalgae as a contributor to sediment carbon stocks. Conclusively, we provide evidence for a prevalent contribution of macroalgal forests in arctic surface sediments, nearshore as well as offshore, identifying brown algae as main contributors.
Metabarcoding reads and taxonomy assignment of marine sediment from Greenland and Svalbard.
Isotopic compostion of marine sediment from Greenland and Svalbard and end-members.
Underwater video transect data, species number and coverage of macroalgae in Kronprinsens Ejland.