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1,961 to 1,970 of 2,500 Results

otu_table_SRS_V4.txt Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate" Plain Text - 11.5 MB - MD5: 495464fda04d30b2b29c6694773b2140 OTU table of the short read sequencing amplicons of general eukaryotes for R script
read_me_metadata_raw.txt Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate" Plain Text - 2.7 KB - MD5: 147a6b1e5613e0ea7f302cf8d2ec75ed Explanations for metadata_raw.txt variables.
R_script_archies.R Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate" R Syntax - 26.4 KB - MD5: 12d5049c63b5e08b096315e36fac383e R script for analyses of the data in this project: Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes
Site_names.txt Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate" Plain Text - 576 B - MD5: e7165d2cc7d26146ed9cc900df7e6e66 Full site names for abbreviations in metadata_raw.txt
specindi.txt Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate" Plain Text - 63.9 KB - MD5: 98435106f093b3fabbc5c2d6589b6a23 File for R script when doing species indicatior analyses, curated and ready.
zk_meta_data.txt Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate" Plain Text - 134.7 KB - MD5: edb969b8069afe0b0dc5476bade2afe3 Metadata zero-skewness transformed for all samples in the study, including sampleId, data, geopgraphic location, vegetation type, bioclimatic variables etc. Descriptions of all metadata in the read_me pane in the Excel file metadata_raw.xlsx
Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions Apr 18, 2024 Holen, Gaute Arnesson; Sayan Adhikari, 2024, "Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions", https://doi.org/10.18710/NG4GD5, DataverseNO, V1 Complex plasma with a variety of continuous and discrete dust grain size distributions are simulated in 2D with molecular dynamics simulations with radial geometry to determine differences in self-organizing phenomena to more realistically represent the actual in situ variations in dust-size. The standard deviation of particle size σ(a) strongly co...
00_README.txt Apr 18, 2024 - Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions Plain Text - 7.5 KB - MD5: 222be190e4d061f025f462df5358518a
F_digitized.npz Apr 18, 2024 - Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions Unknown - 3.4 KB - MD5: 359855b9328802831ab06d1908619712
Ftot.npz Apr 18, 2024 - Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions Unknown - 7.8 KB - MD5: 9508ee3d066c8e2632e0f16568cac4d4

otu_table_SRS_V4.txt

Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

Plain Text - 11.5 MB -

OTU table of the short read sequencing amplicons of general eukaryotes for R script

read_me_metadata_raw.txt

Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

Plain Text - 2.7 KB -

Explanations for metadata_raw.txt variables.

R_script_archies.R

Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

R Syntax - 26.4 KB -

R script for analyses of the data in this project: Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes

Site_names.txt

Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

Plain Text - 576 B -

Full site names for abbreviations in metadata_raw.txt

specindi.txt

Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

Plain Text - 63.9 KB -

File for R script when doing species indicatior analyses, curated and ready.

zk_meta_data.txt

Sep 24, 2025 - Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

Plain Text - 134.7 KB -

Metadata zero-skewness transformed for all samples in the study, including sampleId, data, geopgraphic location, vegetation type, bioclimatic variables etc. Descriptions of all metadata in the read_me pane in the Excel file metadata_raw.xlsx

Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions

Apr 18, 2024

Holen, Gaute Arnesson; Sayan Adhikari, 2024, "Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions", https://doi.org/10.18710/NG4GD5, DataverseNO, V1

Complex plasma with a variety of continuous and discrete dust grain size distributions are simulated in 2D with molecular dynamics simulations with radial geometry to determine differences in self-organizing phenomena to more realistically represent the actual in situ variations in dust-size. The standard deviation of particle size σ(a) strongly co...

00_README.txt

Apr 18, 2024 - Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions

Plain Text - 7.5 KB -

F_digitized.npz

Apr 18, 2024 - Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions

Unknown - 3.4 KB -

Ftot.npz

Apr 18, 2024 - Replication Data for: Self-organising phenomena in 2D complex plasma simulations withnon-mono dispersed dust size distributions

Unknown - 7.8 KB -

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