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1

Data from: To what extent are bryophytes efficient dispersers?

by Vanderpoorten, Alain, Patiño, Jairo, Désamoré, Aurélie, Laenen, Benjamin, Gorski, Piotr, Papp, Beata, Holá, Eva, Korpelainen, Helena, Hardy, Olivier
Published 2019
“... microsatellite data from Hola E. et al. (2015, PloS ONE, 10, e0133134) for population G of the liverwort...”

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2

Soil Ph In H2O At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution

by Hengl, Tomislav
Published 2018
“..., et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2...”

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3

Clay Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution

by Hengl, Tomislav
Published 2018
“.... PLoS ONE 12(2): e0169748."]}...”

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4

Soil Organic Carbon Content In X 5 G / Kg At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...

by Hengl, Tomislav, Ichsani Wheeler
Published 2018
“.... PLoS ONE 12(2): e0169748."]} ......”

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5

Sand Content In % (Kg / Kg) At 6 Standard Depths (0, 10, 30, 60, 100 And 200 Cm) At 250 M Resolution ...

by Hengl, Tomislav
Published 2018
“.... PLoS ONE 12(2): e0169748."]} ......”

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6

Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution

by Hengl, Tomislav
Published 2018
“.... and Guevara, M.A., (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS one...”

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7

Predicted USDA soil great groups at 250 m (probabilities)

by Hengl, Tomislav, Nauman, Travis
Published 2018
“... based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019). Predictive...”

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8

Predicted USDA soil great groups at 250 m (probabilities)

by Hengl, Tomislav, Nauman, Travis
Published 2018
“... gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A...”

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9

Predicted USDA soil suborders at 250 m (probabilities)

by Hengl, Tomislav, Nauman, Travis
Published 2019
“..., et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2...”

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10

Predicted USDA soil suborders at 250 m (probabilities)

by Hengl, Tomislav, Nauman, Travis
Published 2019
“..., et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2...”

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11

Soil pH in H2O at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

by Hengl, Tomislav
Published 2018
“...: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl...”

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12

Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution ...

by Hengl, Tomislav, Ichsani Wheeler
Published 2018
“... information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019...”

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13

Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution ...

by Hengl, Tomislav
Published 2018
“... information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019...”

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14

Sand content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution ...

by Hengl, Tomislav
Published 2018
“... information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019...”

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15

Clay content in % (kg / kg) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

by Hengl, Tomislav
Published 2018
“...) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl...”

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16

Soil pH in H2O at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

by Hengl, Tomislav
Published 2018
“...: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl...”

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17

Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution ...

by Hengl, Tomislav, Wheeler, Ichsani
Published 2018
“.... and Guevara, M.A., (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS one...”

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18

Soil bulk density (fine earth) 10 x kg / m-cubic at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

by Hengl, Tomislav
Published 2018
“... information based on machine learning. PLoS one, 12(2), p.e0169748. https://doi.org/10.1371/journal.pone...”

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19

Predicted USDA soil great groups at 250 m (probabilities)

by Hengl, Tomislav, Nauman, Travis
Published 2018
“... based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019). Predictive...”

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Select result number 20
20

Predicted USDA soil great groups at 250 m (probabilities)

by Hengl, Tomislav, Nauman, Travis
Published 2018
“... based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019). Predictive...”

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Dataset