Australian Microbiome Metagenomics Novaseq 102.100.100/401595
Dataset size is: 4.85 GiB
Data and Resources
This data is made available openly under a Creative Commons Attribution license.
Please see the initiative
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 | 2022-09-13 |
| Access Control Mode | date |
| Sequence Data Type | illumina-shortread |
| Related Data | doi:10.25953/krnh-rj70 |
| absorbance_260_230_ratio | 0.92 |
| absorbance_260_280_ratio | 1.914 |
| am_environment | Soil |
| ammonium_nitrogen_wt (mg/kg) | 8.4035906714 |
| 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 (%) | 2.91 |
| clay_meth | meth_1.23 |
| collection_date | 2021-02-05T00:00:00 |
| collection_permit | SL102346 |
| conductivity (dS/m) | 0.0625 |
| 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) | 1.5558012084 |
| 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 | 49.267 |
| dna_concentration_method | picogreen |
| env_broad_scale | 1 Conservation and Natural Environments |
| env_local_scale | 1.1.6 Protected landscape |
| 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) | -33.73914 151.13336 |
| latitude (decimal_degrees) | -33.73914 |
| library_construction_protocol | Illumina DNA Prep |
| local_class | Sodosol |
| local_class_meth | meth_2.27 |
| longitude (decimal_degrees) | 151.13336 |
| microbial_biomass | 9.3951545057 |
| microbial_biomass_meth | meth_1.23 |
| nitrate_nitrogen (mg/kg) | 3.1785016026 |
| nitrate_nitrogen_meth | meth_2.1 |
| number_of_raw_reads | 32107706.0 |
| number_pcr_cycle | 5.0 |
| omics | metagenomics |
| organic_carbon (%) | 0.0366387694 |
| organic_carbon_meth | meth_2.1 |
| ph_solid_h2o | 5.02 |
| 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 | 102.100.100/401595 |
| 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 | Sheldon Forest |
| sample_submission_date | 2022-06-15 |
| sample_submitter | Kumari Rajapaksha Prathirajage |
| sample_type | Soil |
| sand (%) | 87.09 |
| sand_meth | meth_1.23 |
| sequencer | NovaSeq 6000 |
| silt (%) | 10.0 |
| silt_meth | meth_1.23 |
| source_mat_id | 102.100.100/401595 |
| store_cond | frozen |
| synonyms | 48_2 |
| texture | 87.09 |
| texture_meth | meth_1.23 |
| ticket | BPAOPS-1278 |
| url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/401595 |
| utc_date_sampled | 2021-02-05 |
| vegetation_dom_grasses (%) | Oplismenus imbecillus (20%); Lachnagrostis filiformis (10%); Microlaena stipoides (4%); Entolasia marginata (1.5%) |
| vegetation_dom_grasses_meth | meth_2.28 |
| vegetation_dom_shrubs (%) | Acacia longifolia (15%); Breynia oblongifolia (2%); Denhamia silvestris (1%); Pittosporum revolutum (1%) |
| vegetation_dom_shrubs_meth | meth_2.28 |
| vegetation_dom_trees (%) | Eucalyptus saligna (45%); Eucalyptus pilularis (5%); Glochidion ferdinandi (1%); Acacia decurrens (7%) |
| vegetation_dom_trees_meth | meth_2.28 |
| vegetation_type | Woodland |
| water_content (%) | 35.4304635762 |
| water_content_soil_meth | meth_2.1 |