Australian Microbiome Metagenomics Novaseq 102.100.100/139619
Dataset size is: 5.83 GiB
Data and Resources
This data is made available openly under a Creative Commons Attribution license.
Please see the initiative
Data Policy
for attribution information.
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 | 0.007 |
| absorbance_260_280_ratio | 2.821 |
| am_environment | Soil |
| 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 |
| carbonate (mg/L) | 0.0 |
| carbonate_meth | meth_2.1 |
| chloride (mg/L) | 34000.0 |
| chloride_meth | meth_2.1 |
| collection_date | 2020-06-09T08:06:00 |
| conductivity_aqueous (S/m) | 798.08 |
| conductivity_aqueous_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 |
| description | NovaSeq data package |
| dna_concentration | 1.975 |
| dna_concentration_method | picogreen |
| dna_concentration_submitter (ng/μL) | 1.2776666667 |
| env_broad_scale | 6 Water |
| env_local_scale | 6.1.2 Lake—production |
| env_medium | Hypersaline water [ENVO_00002012] |
| facility_code | ramaciotti |
| flowcell | HJWT7DSX3 |
| folder_name | 20220520_MGE_UNSW_HJWT7DSX3 |
| funding_agency | AMI |
| general_env_feature | lacustrine (lakes) |
| geo_loc_name | Australia:Western Australia |
| icp_te_boron (mg/L) | 7.51 |
| icp_te_boron_meth | meth_2.1 |
| icp_te_calcium (mg/L) | 421.0 |
| icp_te_calcium_meth | meth_2.1 |
| icp_te_copper (mg/L) | 1e-10 |
| icp_te_copper_meth | meth_2.1 |
| icp_te_iron (mg/L) | 3.78 |
| icp_te_iron_meth | meth_2.1 |
| icp_te_manganese (mg/L) | 2.19 |
| icp_te_manganese_meth | meth_2.1 |
| icp_te_phosphorus (mg/L) | 1e-10 |
| icp_te_phosphorus_meth | meth_2.1 |
| icp_te_sulfur (mg/L) | 901.4 |
| icp_te_sulfur_meth | meth_2.1 |
| icp_te_zinc (mg/L) | 1e-10 |
| icp_te_zinc_meth | meth_2.1 |
| insert_size_range | 350-500 |
| lat_lon (decimal_degrees) | -31.010976 118.76584 |
| latitude (decimal_degrees) | -31.010976 |
| library_construction_protocol | Illumina DNA Prep |
| longitude (decimal_degrees) | 118.76584 |
| magnesium (mg/L) | 2142.0 |
| magnesium_meth | meth_2.1 |
| nitrate_nitrite (μmol/L) | 246.3103424642 |
| nitrate_nitrite_meth | meth_2.1 |
| nucl_acid_ext | meth_3.1.10 |
| number_of_raw_reads | 45795798.0 |
| number_pcr_cycle | 12.0 |
| omics | metagenomics |
| ph | 3.4 |
| ph_meth | meth_2.1 |
| potassium (mg/L) | 365.5 |
| potassium_meth | meth_2.1 |
| samp_collect_device | 0.2um filter |
| samp_mat_process | meth_1.15 |
| sample_attribution | E. Watkin |
| sample_database_file | AM_db_v4.2_202402091224.db |
| sample_id | 102.100.100/139619 |
| sample_metadata_ingest_date | 2022-08-04 11:42:18 |
| sample_metadata_ingest_file | BOASE_Version2_AM_ContextualMetadata_AM0019_Watkin_FW_schemV4_xlsx |
| sample_metadata_update_history | AM_add_meth_for_ALL_DB_UPDATE_xlsx; |
| sample_submission_date | 2022-05-26 |
| sample_submitter | Katelyn Boase |
| sample_type | Surface water |
| sequencer | NovaSeq 6000 |
| sodium (mg/L) | 21330.0 |
| sodium_meth | meth_2.1 |
| source_mat_id | 102.100.100/139619 |
| store_cond | meth_liquid nitrogen |
| temp (degC) | 19.5 |
| ticket | BPAOPS-1268 |
| url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/139619 |
| utc_date_sampled | 2020-06-09 |
| utc_time_sampled | 08:06:00 |
| vegetation_type | Other |