Australian Microbiome Metagenomics Novaseq 102.100.100/139619
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Data and Resources
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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 | 0.007 |
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 | 2020-06-09 |
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/4.0.0/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_v4.0_202303211058.db |
sample_id | 102.100.100/139619 |
sample_metadata_ingest_date | 2022-08-04_00:00:00 |
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 |