Australian Microbiome Metagenomics Novaseq 102.100.100/139647
Dataset size is: 6.29 GiB
Data and Resources
This data is made available openly under a Creative Commons Attribution license.
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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 | 2020-12-28 |
Access Control Mode | date |
Sequence Data Type | illumina-shortread |
Related Data | doi:10.25953/ytb3-4f71 |
absorbance_260_230_ratio | 1.536 |
absorbance_260_280_ratio | 1.948 |
am_environment | Soil |
ammonium_nitrogen_wt (mg/kg) | 3.0 |
ammonium_nitrogen_wt_meth | meth_2.1 |
archive_ingestion_date | 2020-09-30 |
base_url | https://downloads-qcif.bioplatforms.com/bpa/amd/metagenomics-novaseq/ramaciotti/BPAOPS-961/AM_MGE_UNSW_HTW7LDRXX/ |
bioplatforms_dataset_id | 102.100.100/401938 |
bioplatforms_project | Australian Microbiome Initiative (AM) |
bioplatforms_project_code | AM0022 |
biotic_relationship | Free-living |
boron_hot_cacl2 (mg/kg) | 0.2 |
boron_hot_cacl2_meth | meth_2.1 |
clay (%) | 22.72 |
clay_meth | meth_2.1 |
coarse_sand (%) | 45.18 |
coarse_sand_meth | meth_2.1 |
collection_date | 2020-03-25T08:00:00 |
color | DKGR |
color_meth | meth_2.1 |
conductivity (dS/m) | 0.037 |
conductivity_meth | meth_2.1 |
conversion_software | bcl2fastq2 |
conversion_software_version | v2.20 |
data_generated | 2020-09-30 |
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 | 102.100.100/401938 |
date_of_transfer | 2020-09-29 |
depth (m) | 0.0 |
depth_lower (m) | 0.1 |
depth_upper (m) | 0.0 |
description | NovaSeq data package |
dna_concentration | 21.0 |
dna_concentration_method | PicoGreen |
dtpa_copper (mg/kg) | 0.26 |
dtpa_copper_meth | meth_2.1 |
dtpa_iron (mg/kg) | 51.0 |
dtpa_iron_meth | meth_2.1 |
dtpa_manganese (mg/kg) | 1.19 |
dtpa_manganese_meth | meth_2.1 |
dtpa_zinc (mg/kg) | 0.78 |
dtpa_zinc_meth | meth_2.1 |
elev (m) | 10.0 |
env_broad_scale | 3 Production from Dryland Agriculture and Plantations |
env_local_scale | 3.3.5 Sugar |
env_medium | Soil [ENVO_00001998] |
exc_aluminium (meq/100g) | 0.87 |
exc_aluminium_meth | meth_2.1 |
exc_calcium (meq/100g) | 2.1 |
exc_calcium_meth | meth_2.1 |
exc_magnesium (meq/100g) | 0.11 |
exc_magnesium_meth | meth_2.1 |
exc_potassium (meq/100g) | 0.12 |
exc_potassium_meth | meth_2.1 |
exc_sodium (meq/100g) | 0.04 |
exc_sodium_meth | meth_2.1 |
facility_code | ramaciotti |
fine_sand (%) | 21.73 |
fine_sand_meth | meth_2.1 |
flowcell | HTW7LDRXX |
folder_name | AM_MGE_UNSW_HTW7LDRXX |
funding_agency | Australian Microbiome Initiative; CRCPFIVE000015 |
general_env_feature | Tropical (wet) |
geo_loc_name | Australia:Queensland [GAZ_00002792] |
gravel (%) | 0 |
gravel_meth | meth_2.1 |
insert_size_range | 200-1500 |
lat_lon (decimal_degrees) | -17.52448 146.02815 |
latitude (decimal_degrees) | -17.52448 |
library_construction_protocol | Nextera DNA Flex |
local_class | Dermosol |
local_class_meth | meth_2.27 |
longitude (decimal_degrees) | 146.02815 |
nitrate_nitrogen (mg/kg) | 2.0 |
nitrate_nitrogen_meth | meth_2.1 |
nucl_acid_ext | meth_3.1.1 |
number_of_raw_reads | 45159148.0 |
number_pcr_cycle | 6.0 |
omics | metagenomics |
organic_carbon (%) | 2.95 |
organic_carbon_meth | meth_2.1 |
ph | 4.7 |
ph_meth | meth_2.1 |
ph_solid_h2o | 5.6 |
ph_solid_h2o_meth | meth_2.1 |
phosphorus_colwell (mg/kg) | 24.0 |
phosphorus_colwell_meth | meth_2.1 |
potassium_colwell (mg/kg) | 74.0 |
potassium_colwell_meth | meth_2.1 |
samp_collect_device | meth_1.1 |
samp_mat_process | meth_1.1 |
sample_attribution | Minka Ibanez |
sample_database_file | AM_db_v4.2_202410080900.db |
sample_id | 102.100.100/139647 |
sample_metadata_ingest_date | 2022-08-04 11:42:09 |
sample_metadata_ingest_file | AM_ContextualMetadata_AM0022_Paungfoo_newtemplate_filled3_modified_xlsx |
sample_metadata_update_history | AM_enviro_UPDATE_xlsx; AM_add_meth_for_ALL_DB_UPDATE_xlsx; |
sample_site_location_description | sugarcane farm |
sample_submission_date | 2020-09-29 |
sample_submitter | C. Paungfoo-Lonhienne |
sample_type | Soil |
sand (%) | 66.91 |
sand_meth | meth_2.1 |
sequencer | NovaSeq 6000 |
silt (%) | 10.37 |
silt_meth | meth_2.1 |
source_mat_id | 102.100.100/139647 |
store_cond | meth_1.1 |
sulphur (mg/kg) | 8.4 |
sulphur_meth | meth_2.1 |
texture | 3.0 |
texture_meth | meth_2.1 |
ticket | BPAOPS-961 |
url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/139647 |
utc_date_sampled | 2020-03-25 |
utc_time_sampled | 08:00:00 |
vegetation_type | Cropland |