Australian Microbiome Amplicons ITS 102.100.100/139622 JC892
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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:date_of_transfer_to_archive:90:am-consortium-members |
| Access Control Date | 2021-01-20 |
| Access Control Mode | date |
| Sequence Data Type | illumina-amplicons |
| Related Data | doi:10.25953/gc1p-cr94 |
| am_environment | Soil |
| amplicon | ITS |
| analysis_software | MiSeq Reporter |
| analysis_software_version | 2.6.2.3 |
| analytical_platform | MiSeq |
| base_url | https://downloads-qcif.bioplatforms.com/bpa/amd/amplicons-miseq/its/BPAOPS-975/ |
| 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 |
| ccg_jira_ticket | BPAOPS-975 |
| chloride (mg/L) | 28000.0 |
| chloride_meth | meth_2.1 |
| collection_date | 2020-06-10T05:23:00 |
| comments | 139622_ITS_JC892_AGCTTGAC-TAGTGTAG |
| conductivity_aqueous (S/m) | 677.34 |
| conductivity_aqueous_meth | meth_2.1 |
| data_type | ITS |
| 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 | 2020-10-22 |
| date_of_transfer_to_archive | 2020-11-09 |
| description | MiSeq data package |
| dilution_used | neat |
| dna_concentration_submitter (ng/μL) | 41.2 |
| env_broad_scale | 6 Water |
| env_local_scale | 6.1.2 Lake—production |
| env_medium | Hypersaline water [ENVO_00002012] |
| flow_id | JC892 |
| folder_name | 20201022_AM_ITS_UNSW_JC892 |
| funding_agency | AMI |
| general_env_feature | lacustrine (lakes) |
| geo_loc_name | Australia:Western Australia |
| icp_te_boron (mg/L) | 3.5 |
| icp_te_boron_meth | meth_2.1 |
| icp_te_calcium (mg/L) | 1517.0 |
| 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) | 3.75 |
| icp_te_iron_meth | meth_2.1 |
| icp_te_manganese (mg/L) | 1.54 |
| 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) | 1814.0 |
| icp_te_sulfur_meth | meth_2.1 |
| icp_te_zinc (mg/L) | 1e-10 |
| icp_te_zinc_meth | meth_2.1 |
| index | AGCTTGAC-TAGTGTAG |
| lat_lon (decimal_degrees) | -31.049175 117.330095 |
| latitude (decimal_degrees) | -31.049175 |
| longitude (decimal_degrees) | 117.330095 |
| magnesium (mg/L) | 1475.0 |
| magnesium_meth | meth_2.1 |
| nitrate_nitrite (μmol/L) | 1e-10 |
| nitrate_nitrite_meth | meth_2.1 |
| nucl_acid_ext | meth_3.1.10 |
| omics | Genomics |
| pass_fail | P |
| ph | 3.7 |
| ph_meth | meth_2.1 |
| potassium (mg/L) | 374.7 |
| potassium_meth | meth_2.1 |
| reads | 107937.0 |
| 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 | 102.100.100/139622 |
| 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_submitter | Katelyn Boase |
| sample_type | Surface water |
| sequencing_facility | Ramaciotti |
| sodium (mg/L) | 18030.0 |
| sodium_meth | meth_2.1 |
| source_mat_id | 102.100.100/139622 |
| store_cond | meth_liquid nitrogen |
| target | ITS |
| ticket | BPAOPS-975 |
| url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/139622 |
| utc_date_sampled | 2020-06-10 |
| utc_time_sampled | 05:23:00 |
| vegetation_type | Other |