Australian Microbiome Metagenomics Novaseq 102.100.100/139646
Dataset size is: 7.29 GiB
Data and Resources
This data is made available openly under a Creative Commons Attribution license.
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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 | 2020-12-28 |
| Access Control Mode | date |
| Sequence Data Type | illumina-shortread |
| Related Data | doi:10.25953/ytb3-4f71 |
| absorbance_260_230_ratio | 1.075 |
| absorbance_260_280_ratio | 1.878 |
| am_environment | Soil |
| ammonium_nitrogen_wt (mg/kg) | 2.0 |
| ammonium_nitrogen_wt_meth | meth_2.1 |
| archive_ingestion_date | 2020-09-30 |
| base_url | https://downloads-qcif.bioplatforms.com/bpa/amd/metagenomics-novaseq/ramaciotti/BPAOPS-961/AM_MGE_UNSW_HTW7LDRXX/ |
| bioplatforms_dataset_id | 102.100.100/401938 |
| bioplatforms_project | Australian Microbiome Initiative (AM) |
| bioplatforms_project_code | AM0022 |
| biotic_relationship | Free-living |
| boron_hot_cacl2 (mg/kg) | 0.12 |
| boron_hot_cacl2_meth | meth_2.1 |
| clay (%) | 9.44 |
| clay_meth | meth_2.1 |
| coarse_sand (%) | 66.59 |
| coarse_sand_meth | meth_2.1 |
| collection_date | 2020-03-18T07:00:00 |
| color | LTGR |
| color_meth | meth_2.1 |
| conductivity (dS/m) | 0.034 |
| conductivity_meth | meth_2.1 |
| conversion_software | bcl2fastq2 |
| conversion_software_version | v2.20 |
| data_generated | 2020-09-30 |
| 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 | 102.100.100/401938 |
| date_of_transfer | 2020-09-29 |
| depth (m) | 0.2 |
| depth_lower (m) | 0.4 |
| depth_upper (m) | 0.2 |
| description | NovaSeq data package |
| dna_concentration | 5.24 |
| dna_concentration_method | PicoGreen |
| dtpa_copper (mg/kg) | 0.32 |
| dtpa_copper_meth | meth_2.1 |
| dtpa_iron (mg/kg) | 28.8 |
| dtpa_iron_meth | meth_2.1 |
| dtpa_manganese (mg/kg) | 12.02 |
| dtpa_manganese_meth | meth_2.1 |
| dtpa_zinc (mg/kg) | 0.74 |
| dtpa_zinc_meth | meth_2.1 |
| elev (m) | 11.8 |
| env_broad_scale | 3 Production from Dryland Agriculture and Plantations |
| env_local_scale | 3.3.5 Sugar |
| env_medium | Soil [ENVO_00001998] |
| exc_aluminium (meq/100g) | 0.15 |
| exc_aluminium_meth | meth_2.1 |
| exc_calcium (meq/100g) | 0.88 |
| exc_calcium_meth | meth_2.1 |
| exc_magnesium (meq/100g) | 0.18 |
| exc_magnesium_meth | meth_2.1 |
| exc_potassium (meq/100g) | 0.09 |
| exc_potassium_meth | meth_2.1 |
| exc_sodium (meq/100g) | 0.02 |
| exc_sodium_meth | meth_2.1 |
| facility_code | ramaciotti |
| fine_sand (%) | 18.25 |
| fine_sand_meth | meth_2.1 |
| flowcell | HTW7LDRXX |
| folder_name | AM_MGE_UNSW_HTW7LDRXX |
| funding_agency | Australian Microbiome Initiative; CRCPFIVE000015 |
| general_env_feature | Tropical (wet) |
| geo_loc_name | Australia:Queensland [GAZ_00002792] |
| gravel (%) | 5 |
| gravel_meth | meth_2.1 |
| insert_size_range | 200-1500 |
| lat_lon (decimal_degrees) | -18.65067 146.15472 |
| latitude (decimal_degrees) | -18.65067 |
| library_construction_protocol | Nextera DNA Flex |
| local_class | Hydrosol |
| local_class_meth | meth_2.27 |
| longitude (decimal_degrees) | 146.15472 |
| nitrate_nitrogen (mg/kg) | 1e-10 |
| nitrate_nitrogen_meth | meth_2.1 |
| nucl_acid_ext | meth_3.1.1 |
| number_of_raw_reads | 51824329.0 |
| number_pcr_cycle | 6.0 |
| omics | metagenomics |
| organic_carbon (%) | 0.37 |
| organic_carbon_meth | meth_2.1 |
| ph | 5.0 |
| ph_meth | meth_2.1 |
| ph_solid_h2o | 5.7 |
| ph_solid_h2o_meth | meth_2.1 |
| phosphorus_colwell (mg/kg) | 11.0 |
| phosphorus_colwell_meth | meth_2.1 |
| potassium_colwell (mg/kg) | 52.0 |
| potassium_colwell_meth | meth_2.1 |
| samp_collect_device | meth_1.1 |
| samp_mat_process | meth_1.1 |
| sample_attribution | Minka Ibanez |
| sample_database_file | AM_db_v4.2_202410080900.db |
| sample_id | 102.100.100/139646 |
| sample_metadata_ingest_date | 2022-08-04 11:42:09 |
| sample_metadata_ingest_file | AM_ContextualMetadata_AM0022_Paungfoo_newtemplate_filled3_modified_xlsx |
| sample_metadata_update_history | AM_enviro_UPDATE_xlsx; AM_add_meth_for_ALL_DB_UPDATE_xlsx; |
| sample_site_location_description | sugarcane farm |
| sample_submission_date | 2020-09-29 |
| sample_submitter | C. Paungfoo-Lonhienne |
| sample_type | Soil |
| sand (%) | 84.84 |
| sand_meth | meth_2.1 |
| sequencer | NovaSeq 6000 |
| silt (%) | 5.72 |
| silt_meth | meth_2.1 |
| source_mat_id | 102.100.100/139646 |
| store_cond | meth_1.1 |
| sulphur (mg/kg) | 9.2 |
| sulphur_meth | meth_2.1 |
| texture | 1.0 |
| texture_meth | meth_2.1 |
| ticket | BPAOPS-961 |
| url | https://data.bioplatforms.com//organization/australian-microbiome?q=sample_id:102.100.100/139646 |
| utc_date_sampled | 2020-03-18 |
| utc_time_sampled | 07:00:00 |
| vegetation_type | Cropland |