Australian Microbiome Metagenomics Novaseq 102.100.100/139601
Dataset size is: 5.74 GiB
Data and Resources
This data is made available openly under a Creative Commons Attribution license.
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Data Policy
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Additional Info Show Blank Fields
Field | Value |
---|---|
Geospatial Coverage |
Dataset extentMap tiles & Data by OpenStreetMap, under CC BY SA.
|
Resource Permissions | organization_member_after_embargo:archive_ingestion_date:90:am-consortium-members |
Access Control Date | 2022-08-24 |
Access Control Mode | date |
Sequence Data Type | illumina-shortread |
Related Data | doi:10.25953/gc1p-cr94 |
absorbance_260_230_ratio | 0.337 |
absorbance_260_280_ratio | 2.266 |
am_environment | Soil |
ammonium_nitrogen_wt (mg/kg) | 2.0 |
ammonium_nitrogen_wt_meth | meth_2.1 |
archive_ingestion_date | 2022-05-27 |
base_url | https://downloads-qcif.bioplatforms.com/bpa/amd/metagenomics-novaseq/ramaciotti/BPAOPS-1268/20220520_MGE_UNSW_HJWT7DSX3/ |
bioplatforms_dataset_id | 102.100.100/401935 |
bioplatforms_project | Australian Microbiome Initiative (AM) |
bioplatforms_project_code | AM0019 |
biotic_relationship | Free-living |
boron_hot_cacl2 (mg/kg) | 3.36 |
boron_hot_cacl2_meth | meth_2.1 |
clay (%) | 14.39 |
clay_meth | meth_2.1 |
coarse_sand (%) | 73.95 |
coarse_sand_meth | meth_2.1 |
collection_date | 2020-06-08T08:17:00 |
color | BRGR |
conductivity (dS/m) | 58.944 |
conductivity_meth | meth_2.1 |
conversion_software | bcl2fastq |
conversion_software_version | v2.20 |
data_generated | 2022-05-27 |
data_type | MGE |
database_schema_definitions_url | https://github.com/AusMicrobiome/contextualdb_doc/raw/4.2.0/db_schema_definitions/db_schema_definitions.xlsx |
dataset_id | 102.100.100/401935 |
date_of_transfer | 2022-05-26 |
depth (m) | 0.2 |
depth_lower (m) | 0.3 |
depth_upper (m) | 0.2 |
description | NovaSeq data package |
dna_concentration | 0.49 |
dna_concentration_method | picogreen |
dna_concentration_submitter (ng/μL) | 0.5 |
dtpa_copper (mg/kg) | 0.27 |
dtpa_copper_meth | meth_2.1 |
dtpa_iron (mg/kg) | 53.6 |
dtpa_iron_meth | meth_2.1 |
dtpa_manganese (mg/kg) | 0.27 |
dtpa_manganese_meth | meth_2.1 |
dtpa_zinc (mg/kg) | 0.32 |
dtpa_zinc_meth | meth_2.1 |
env_broad_scale | 6 Water |
env_local_scale | 6.1.2 Lake—production |
env_medium | Soil [ENVO_00001998] |
exc_aluminium (meq/100g) | 0.53 |
exc_aluminium_meth | meth_2.1 |
exc_calcium (meq/100g) | 0.28 |
exc_calcium_meth | meth_2.1 |
exc_magnesium (meq/100g) | 1.77 |
exc_magnesium_meth | meth_2.1 |
exc_potassium (meq/100g) | 0.42 |
exc_potassium_meth | meth_2.1 |
exc_sodium (meq/100g) | 9.82 |
exc_sodium_meth | meth_2.1 |
facility_code | ramaciotti |
fine_sand (%) | 7.82 |
fine_sand_meth | meth_2.1 |
flowcell | HJWT7DSX3 |
folder_name | 20220520_MGE_UNSW_HJWT7DSX3 |
funding_agency | AMI |
general_env_feature | lacustrine (lakes) |
geo_loc_name | Australia:Western Australia [GAZ_00002789] |
gravel (%) | 0.0 |
gravel_meth | meth_2.1 |
insert_size_range | 350-500 |
lat_lon (decimal_degrees) | -31.190272 117.831736 |
latitude (decimal_degrees) | -31.190272 |
library_construction_protocol | Illumina DNA Prep |
local_class | Sodosol |
local_class_meth | meth_2.27 |
longitude (decimal_degrees) | 117.831736 |
nitrate_nitrogen (mg/kg) | 1e-10 |
nitrate_nitrogen_meth | meth_2.1 |
nucl_acid_ext | meth_3.1.10 |
number_of_raw_reads | 42339403.0 |
number_pcr_cycle | 12.0 |
omics | metagenomics |
organic_carbon (%) | 0.37 |
organic_carbon_meth | meth_2.1 |
ph | 4.2 |
ph_meth | meth_2.1 |
ph_solid_h2o | 4.3 |
ph_solid_h2o_meth | meth_2.1 |
phosphorus_colwell (mg/kg) | 1e-10 |
phosphorus_colwell_meth | meth_2.1 |
potassium_colwell (mg/kg) | 256.0 |
potassium_colwell_meth | meth_2.1 |
samp_collect_device | meth_1.1 |
sample_attribution | E. Watkin |
sample_database_file | AM_db_v4.2_202410080900.db |
sample_id | 102.100.100/139601 |
sample_metadata_ingest_date | 2021-04-23 11:16:05 |
sample_metadata_ingest_file | BOASE_Version2_AM_ContextualMetadata_AM0019_Watkin_SOIL_xlsx |
sample_metadata_update_history | All_soil_noAntarctic_Methods_FILLED_UPDATE_xlsx; AM_add_meth_for_ALL_DB_UPDATE_xlsx; |
sample_submission_date | 2022-05-26 |
sample_submitter | Katelyn Boase |
sample_type | Soil |
sand (%) | 81.77 |
sand_meth | meth_2.1 |
sequencer | NovaSeq 6000 |
silt (%) | 3.85 |
silt_meth | meth_2.1 |
source_mat_id | 102.100.100/139601 |
store_cond | meth_liquid nitrogen (DNA) and room temp for chemical analysis. |
sulphur (mg/kg) | 163.7 |
sulphur_meth | meth_2.1 |
texture | 1.5 |
texture_meth | meth_2.1 |
ticket | BPAOPS-1268 |
url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/139601 |
utc_date_sampled | 2020-06-08 |
utc_time_sampled | 08:17:00 |
vegetation_type | Other |