Australian Microbiome Metagenomics Novaseq 102.100.100/139613
Dataset size is: 5.73 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 | 2022-08-24 |
| Access Control Mode | date |
| Sequence Data Type | illumina-shortread |
| Related Data | doi:10.25953/gc1p-cr94 |
| absorbance_260_230_ratio | 0.004 |
| absorbance_260_280_ratio | -6.872 |
| am_environment | Marine |
| ammonium_nitrogen_wt (mg/kg) | 1.0 |
| 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) | 0.9 |
| boron_hot_cacl2_meth | meth_2.1 |
| clay (%) | 2.04 |
| clay_meth | meth_2.1 |
| coarse_sand (%) | 94.14 |
| coarse_sand_meth | meth_2.1 |
| collection_date | 2020-06-10T05:55:00 |
| color | GRWH |
| conductivity (dS/m) | 7.344 |
| 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) | 0.0 |
| depth_lower (m) | 0.0 |
| depth_upper (m) | 0.0 |
| description | NovaSeq data package |
| dna_concentration | 0.022 |
| dna_concentration_method | picogreen |
| dna_concentration_submitter (ng/μL) | 0.1806666667 |
| dtpa_copper (mg/kg) | 0.27 |
| dtpa_copper_meth | meth_2.1 |
| dtpa_iron (mg/kg) | 4.9 |
| dtpa_iron_meth | meth_2.1 |
| dtpa_manganese (mg/kg) | 0.36 |
| dtpa_manganese_meth | meth_2.1 |
| dtpa_zinc (mg/kg) | 0.24 |
| dtpa_zinc_meth | meth_2.1 |
| env_broad_scale | 6 Water |
| env_local_scale | 6.1.2 Lake—production |
| env_medium | Hypersaline water [ENVO_00002012] |
| exc_aluminium (meq/100g) | 0.02 |
| exc_aluminium_meth | meth_2.1 |
| exc_calcium (meq/100g) | 8.09 |
| exc_calcium_meth | meth_2.1 |
| exc_magnesium (meq/100g) | 1.49 |
| exc_magnesium_meth | meth_2.1 |
| exc_potassium (meq/100g) | 0.07 |
| exc_potassium_meth | meth_2.1 |
| exc_sodium (meq/100g) | 6.69 |
| exc_sodium_meth | meth_2.1 |
| facility_code | ramaciotti |
| fine_sand (%) | 2.77 |
| 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 |
| gravel (%) | 0.0 |
| gravel_meth | meth_2.1 |
| insert_size_range | 350-500 |
| lat_lon (decimal_degrees) | -31.049483 117.330362 |
| latitude (decimal_degrees) | -31.049483 |
| library_construction_protocol | Illumina DNA Prep |
| longitude (decimal_degrees) | 117.330362 |
| nitrate_nitrogen (mg/kg) | 1e-10 |
| nitrate_nitrogen_meth | meth_2.1 |
| nucl_acid_ext | meth_3.1.10 |
| number_of_raw_reads | 40076804.0 |
| number_pcr_cycle | 12.0 |
| omics | metagenomics |
| organic_carbon (%) | 0.12 |
| organic_carbon_meth | meth_2.1 |
| ph | 5.9 |
| ph_meth | meth_2.1 |
| ph_solid_h2o | 6.2 |
| ph_solid_h2o_meth | meth_2.1 |
| phosphorus_colwell (mg/kg) | 1e-10 |
| phosphorus_colwell_meth | meth_2.1 |
| potassium_colwell (mg/kg) | 48.0 |
| potassium_colwell_meth | meth_2.1 |
| samp_collect_device | meth_1.1 |
| sample_attribution | E. Watkin |
| sample_database_file | AM_db_v4.2_202402091224.db |
| sample_id | 102.100.100/139613 |
| 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 | env_biome_6__Water_UPDATE_xlsx; free_living_biotic_relationship_UPDATE_xlsx; AM_add_meth_for_ALL_DB_UPDATE_xlsx; |
| sample_submission_date | 2022-05-26 |
| sample_submitter | Katelyn Boase |
| sample_type | Surface water |
| sand (%) | 96.91 |
| sand_meth | meth_2.1 |
| sequencer | NovaSeq 6000 |
| silt (%) | 1.05 |
| silt_meth | meth_2.1 |
| source_mat_id | 102.100.100/139613 |
| store_cond | meth_liquid nitrogen (DNA) and room temp for chemical analysis. |
| sulphur (mg/kg) | 8499.3 |
| sulphur_meth | meth_2.1 |
| texture | 1.0 |
| texture_meth | meth_2.1 |
| ticket | BPAOPS-1268 |
| url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/139613 |
| utc_date_sampled | 2020-06-10 |
| utc_time_sampled | 05:55:00 |
| vegetation_type | Other |