Australian Microbiome Metagenomics Novaseq 102.100.100/401593

Cumberland State Forest, MGE

Dataset size is: 4.15 GiB

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This data is made available openly under a Creative Commons Attribution license. Please see the initiative Data Policy for attribution information.

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Field Value
Geospatial Coverage

Dataset extent

Map tiles & Data by OpenStreetMap, under CC BY SA.
Resource Permissions organization_member_after_embargo:archive_ingestion_date:90:am-consortium-members
Access Control Date 2022-09-13
Access Control Mode date
Sequence Data Type illumina-shortread
Related Data doi:10.25953/krnh-rj70
absorbance_260_230_ratio 1.984
absorbance_260_280_ratio 1.955
am_environment Soil
ammonium_nitrogen_wt (mg/kg) 25.736564016
ammonium_nitrogen_wt_meth meth_2.1
archive_ingestion_date 2022-06-17
base_url https://downloads-qcif.bioplatforms.com/bpa/amd/metagenomics-novaseq/ramaciotti/BPAOPS-1278/20220610_MGE_UNSW_HL7J5DSX3/
bioplatforms_dataset_id 102.100.100/401941
bioplatforms_project Australian Microbiome Initiative (AM)
bioplatforms_project_code AM0024
biotic_relationship Free-living
clay (%) 14.91
clay_meth meth_1.23
collection_date 2021-02-01T00:00:00
collection_permit SL102346
conductivity (dS/m) 0.0861
conductivity_meth meth_2.1
conversion_software bcl2fastq
conversion_software_version v2.20
crop_rotation_1yr_since_present No crop
crop_rotation_2yrs_since_present No crop
crop_rotation_3yrs_since_present No crop
crop_rotation_4yrs_since_present No crop
crop_rotation_5yrs_since_present No crop
data_generated 2022-06-17
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 102.100.100/401941
date_of_transfer 2022-06-15
density (kg/m3) 2.0202020202
density_meth meth_1.23
depth (m) 0.0
depth_lower (m) 0.1
depth_upper (m) 0.0
description NovaSeq data package
dna_concentration 78.212
dna_concentration_method picogreen
env_broad_scale 1 Conservation and Natural Environments
env_local_scale 1.1.7 Other conserved area
env_medium Soil [ENVO_00001998]
facility_code ramaciotti
flowcell HL7J5DSX3
folder_name 20220610_MGE_UNSW_HL7J5DSX3
funding_agency Australian Microbiome Initiative; Saving Our Species (SOS) Project Grant [DPIE (former OEH); NSW]
general_env_feature Temperate
geo_loc_name Australia:Sydney
insert_size_range 350-500
lat_lon (decimal_degrees) -33.74244 151.03748
latitude (decimal_degrees) -33.74244
library_construction_protocol Illumina DNA Prep
local_class Sodosol
local_class_meth meth_2.27
longitude (decimal_degrees) 151.03748
microbial_biomass 15.7316856527
microbial_biomass_meth meth_1.23
nitrate_nitrogen (mg/kg) 6.8838578359
nitrate_nitrogen_meth meth_2.1
number_of_raw_reads 27415970.0
number_pcr_cycle 5.0
omics metagenomics
organic_carbon (%) 0.0078093651
organic_carbon_meth meth_2.1
ph_solid_h2o 5.41
ph_solid_h2o_meth meth_2.1
samp_collect_device meth_1.23
samp_mat_process meth_1.23
sample_attribution Kumari Rajapaksha Prathirajage; Western Sydney University
sample_database_file AM_db_v4.2_202402091224.db
sample_id 102.100.100/401593
sample_metadata_ingest_date 2022-12-08 16:41:48
sample_metadata_ingest_file Sample_submission_sheet_soil_20221207_schema_v3_vocab_2_0_3_AM0024_Powell_xlsx
sample_site_location_description Cumberland State Forest
sample_submission_date 2022-06-15
sample_submitter Kumari Rajapaksha Prathirajage
sample_type Soil
sand (%) 72.89
sand_meth meth_1.23
sequencer NovaSeq 6000
silt (%) 12.2
silt_meth meth_1.23
source_mat_id 102.100.100/401593
store_cond frozen
synonyms 46_2
texture Sandy loam
texture_meth meth_1.23
ticket BPAOPS-1278
url https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/401593
utc_date_sampled 2021-02-01
vegetation_dom_grasses (%) Dianella caerulea (1%); Oplismenus aemulus (5%)
vegetation_dom_grasses_meth meth_2.28
vegetation_dom_shrubs (%) Pittosporum undulatum (3%); Breynia oblongifolia (3%); Ficus coronata (2%); Elaeodendron australe (1%)
vegetation_dom_shrubs_meth meth_2.28
vegetation_dom_trees (%) Eucalyptus pilularis (20%); Alphitonia excelsa (20%); Brachychiton acerifolius (7%); Ceratopetalum apetalum (5%); Eucalyptus saligna (20%); Glochidion ferdinandi (5%); Eucalyptus paniculata (2%); Allocasuarina littoralis (2%)
vegetation_dom_trees_meth meth_2.28
vegetation_type Woodland
water_content (%) 28.5240464345
water_content_soil_meth meth_2.1