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  • 1
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    Radiocarbon in San Diego groundwater samples (2019)
    PANGAEA
    Details
    Publication Date: 2023-07-19
    Keywords: AGE; California; Carbon-14, modern; Depth, well; Dilution factor; Event label; groundwater; Identification; Isotope ratio; Sampling Well; San Diego, California, U.S.A.; SDAQ-2A; SDAQ-2B; SDAQ-3A; SDAQ-3B; SDAQ-4A; SDAQ-4B; SDBP_1A; SDBP_1B; SDBP_2B; SDBP_3; SDBP_4A; SDBP_4B; SDBP 1A; SDBP 1B; SDBP 2B; SDBP 3; SDBP 4A; SDBP 4B; SDEP_1A; SDEP_1B; SDEP_2B; SDEP_2C; SDEP_4; SDEP_5; SDEP 1A; SDEP 1B; SDEP 2B; SDEP 2C; SDEP-3A; SDEP 4; SDEP 5; SDHF1A; SDHF1B; SDHF2A; SDHF3A; SDHF3B; SDHF4C; SDHF5A; SDHF5B; SDNB-2; SDSW_2A; SDSW_2B; SDSW_4; SDSW_5; SDSW-1B; SDSW 2A; SDSW 2B; SDSW-3A; SDSW-3B; SDSW 4; SDSW 5; WELL; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 175 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Inverse model output for groundwater samples from various sites in California (2019)
    PANGAEA
    Details
    Publication Date: 2023-07-19
    Keywords: 180-1_n1; 180-1_n2; 180-1_n3; 180-1 #1; 180-1 #2; 180-1 #3; 180-MW_n1; 180-MW_n3; 180-MW #1; 180-MW #3; California; Event label; Fresno, California, U.S.A.; Geothermal gradient; groundwater; Identification; Inverse model output; Isotope ratio; Location; MD-10A; MD-10B; MD-11A; MD-11B; MD-1A; MD-2A; MD-3A; MD-3B; MD-4A; MD-5A; MD-5B; MD-5C; MD-6A; MD-6B; MD-7A; MD-8A; MD-9A; MD-9B; Mojave, California, U.S.A.; noble gas; Original value; Paleoclimate; Pressure, atmospheric; Sampling Well; San Diego, California, U.S.A.; SDAQ-2A; SDAQ-2B; SDAQ-3A; SDAQ-3B; SDAQ-4A; SDAQ-4B; SDBP_1A; SDBP_1B; SDBP_2B; SDBP_3; SDBP_4A; SDBP_4B; SDBP 1A; SDBP 1B; SDBP 2B; SDBP 3; SDBP 4A; SDBP 4B; SDEP_1A; SDEP_1B; SDEP_2B; SDEP_2C; SDEP_4; SDEP_5; SDEP 1A; SDEP 1B; SDEP 2B; SDEP 2C; SDEP-3A; SDEP 4; SDEP 5; SDHF1A; SDHF1B; SDHF2A; SDHF3A; SDHF3B; SDHF4C; SDHF5A; SDHF5B; SDNB-2; SDSW_2A; SDSW_2B; SDSW_4; SDSW_5; SDSW-1B; SDSW 2A; SDSW 2B; SDSW-3A; SDSW-3B; SDSW 4; SDSW 5; Temperature, annual mean; Temperature, annual mean, standard deviation; water table; Water table depth, mean; Water table depth, standard deviation; WELL
    Type: Dataset
    Format: text/tab-separated-values, 522 data points
    Location Call Number Expected Availability
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  • 3
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    Groundwater noble gas isotope measurements from various sites in California (2019)
    PANGAEA
    In:  Supplement to: Seltzer, Alan; Ng, Jessica; Danskin, Wesley; Kulongoski, Justin T; Gannon, Riley; Stute, Martin; Severinghaus, Jeffrey P (2019): Deglacial water-table decline in Southern California recorded by noble gas isotopes. Nature Communications, https://doi.org/10.1038/s41467-019-13693-2
    Details
    Publication Date: 2023-07-19
    Description: Kr and Xe isotope measurements (raw and corrected), sample information, well information, and inverse model output for groundwater samples from 36 wells across California spanning three regions: 1) San Diego, 2) Fresno, 3) Mojave Desert.
    Keywords: 180-1_n1; 180-1_n2; 180-1_n3; 180-1 #1; 180-1 #2; 180-1 #3; 180-MW_n1; 180-MW_n3; 180-MW #1; 180-MW #3; California; Fresno, California, U.S.A.; groundwater; Isotope ratio; MD-10A; MD-10B; MD-11A; MD-11B; MD-1A; MD-2A; MD-3A; MD-3B; MD-4A; MD-5A; MD-5B; MD-5C; MD-6A; MD-6B; MD-7A; MD-8A; MD-9A; MD-9B; Mojave, California, U.S.A.; noble gas; Paleoclimate; Sampling Well; San Diego, California, U.S.A.; SDAQ-2A; SDAQ-2B; SDAQ-3A; SDAQ-3B; SDAQ-4A; SDAQ-4B; SDBP_1A; SDBP_1B; SDBP_2B; SDBP_3; SDBP_4A; SDBP_4B; SDBP 1A; SDBP 1B; SDBP 2B; SDBP 3; SDBP 4A; SDBP 4B; SDEP_1A; SDEP_1B; SDEP_2B; SDEP_2C; SDEP_4; SDEP_5; SDEP 1A; SDEP 1B; SDEP 2B; SDEP 2C; SDEP-3A; SDEP 4; SDEP 5; SDHF1A; SDHF1B; SDHF2A; SDHF3A; SDHF3B; SDHF4C; SDHF5A; SDHF5B; SDNB-2; SDSW_2A; SDSW_2B; SDSW_4; SDSW_5; SDSW-1B; SDSW 2A; SDSW 2B; SDSW-3A; SDSW-3B; SDSW 4; SDSW 5; water table; WELL
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Nucleotide sequences of archaeal amplicon sequence variants (ASV) from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We investigated the microbiology of 〉100 groundwater samples from 90 monitoring wells (〈250m depth) located in 14 aquifers in the Canadian Prairie. This dataset contains the nucleotide sequences and taxonomy of archaeal 16S rRNA gene amplicons retrieved from groundwater samples of aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning DNA extraction, sequencing and sequence analyses can be found in the associated publication by Ruff et al. 2023.
    Keywords: amplicon; Amplicon sequence variant; aquifer; Archaea; biogeochemistry; Canada; Class; communities; Family; Field measurement; Genetic sequence; Genus; GOWN_Canada; groundwater; Kingdom; microbes; Order; Phylum; Species
    Type: Dataset
    Format: text/tab-separated-values, 236533 data points
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  • 5
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    Nucleotide sequences of bacterial amplicon sequence variants (ASV) from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We investigated the microbiology of 〉100 groundwater samples from 90 monitoring wells (〈250m depth) located in 14 aquifers in the Canadian Prairie. This dataset contains the nucleotide sequences and taxonomy of bacterial 16S rRNA gene amplicons retrieved from groundwater samples of aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning DNA extraction, sequencing and sequence analyses can be found in the associated publication by Ruff et al. 2023.
    Keywords: amplicon; Amplicon sequence variant; aquifer; Bacteria; biogeochemistry; Canada; Class; communities; Family; Field measurement; Genetic sequence; Genus; GOWN_Canada; groundwater; Kingdom; microbes; Order; Phylum; Species
    Type: Dataset
    Format: text/tab-separated-values, 140276 data points
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  • 6
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    Relative abundances of archaeal amplicon sequence variants (ASV) from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We investigated the microbiology of 〉100 groundwater samples from 90 monitoring wells (〈250m depth) located in 14 aquifers in the Canadian Prairie. This dataset contains relative abundances of archaeal lineages based on 16S rRNA gene amplicons retrieved from 52 groundwater samples of aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning DNA extraction, sequencing and sequence analyses can be found in the associated publication by Ruff et al. 2023.
    Keywords: Accession number, genetics; Amplicon sequence variant; aquifer; biogeochemistry; Canadian Prairie; Class; communities; DATE/TIME; Event label; Family; Field measurement; Genus; GOWN_Airdrie; GOWN_Barons; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Cavendish; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Cynthia; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hardisty; GOWN_Hays_East; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Meander_River; GOWN_Metiskow; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Ponoka; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; groundwater; Kingdom; LATITUDE; LONGITUDE; microbes; Order; Phylum; Sample code/label; Sample code/label 2; Sequence abundance; Sequence identifier; Species; Well; Well, identifier
    Type: Dataset
    Format: text/tab-separated-values, 1530716 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Microbial cell counts from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We therefore investigated the total microbial cell counts of 78 groundwater samples from aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning microscopy and cell enumeration can be found in the associated publication by Ruff et al. 2023.
    Keywords: Accession number, genetics; aquifer; Average; biogeochemistry; Canadian Prairie; Cell counts, microbial; Cells, total; communities; DATE/TIME; Event label; Field measurement; GOWN_Airdrie; GOWN_Barons; GOWN_Barrhead; GOWN_Beaverlodge; GOWN_Bigstone; GOWN_Buck_Deep; GOWN_Buck_Lake; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Carseland; GOWN_Cavendish; GOWN_Cluny_North; GOWN_Cluny_South; GOWN_Cochrane_Deep; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Crossfield; GOWN_Cushing_Lake; GOWN_Cynthia; GOWN_Del_Bonita; GOWN_Devon_Botanical; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Duvernay; GOWN_Elnora; GOWN_Elnora_6; GOWN_Fairview; GOWN_Ferintosh; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Mercier; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hand_Hills; GOWN_Hardisty; GOWN_Hardisty_Airport; GOWN_Hays_East; GOWN_Irricana; GOWN_Kehiwin_Lake; GOWN_KEHO_Lake; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Lloydminster; GOWN_McNally; GOWN_Medicine_Hat; GOWN_Metiskow; GOWN_Milk_River; GOWN_Ministik; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Oldman_Dam; GOWN_Olds; GOWN_Orton; GOWN_Pakowi; GOWN_Pine_Lake; GOWN_Ponoka; GOWN_Raven; GOWN_Redlands; GOWN_Rich_Lake; GOWN_Rocky_Mt._House; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sibbald; GOWN_Sion_3; GOWN_Smith; GOWN_Smith_Coulee; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Three_Hills; GOWN_Three_Hills_RCA; GOWN_Viking; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; GOWN_Warner_North; GOWN_Wetaskiwin; GOWN_Zama_North; Grids, total; groundwater; LATITUDE; LONGITUDE; microbes; Number of cells; Number of squares; Sample code/label; Sample code/label 2; Sequence identifier; Standard deviation; Standard error; Well; Well, identifier
    Type: Dataset
    Format: text/tab-separated-values, 4441 data points
    Location Call Number Expected Availability
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  • 8
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    Archaeal diversity of Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We investigated the microbiology of groundwater samples from various monitoring wells (〈250m depth) located in 14 aquifers in the Canadian Prairie. This dataset contains archaeal community diversity indices based on 16S rRNA gene amplicons retrieved from 52 groundwater samples of aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning DNA extraction, sequencing and sequence analyses can be found in the associated publication by Ruff et al. 2023.
    Keywords: Accession number, genetics; Amplicon sequence variant, absolute single sequence; Amplicon sequence variant, relative single sequence; Amplicon sequence variant, richness; aquifer; biogeochemistry; Canadian Prairie; Chao 1 richness; communities; DATE/TIME; Event label; Field measurement; GOWN_Airdrie; GOWN_Barons; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Cavendish; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Cynthia; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hardisty; GOWN_Hays_East; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Meander_River; GOWN_Metiskow; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Ponoka; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; groundwater; Inverse Simpson index of diversity; LATITUDE; LONGITUDE; microbes; Reads; Sample code/label; Sample code/label 2; Sequence identifier; Shannon Diversity Index; Well; Well, identifier
    Type: Dataset
    Format: text/tab-separated-values, 792 data points
    Location Call Number Expected Availability
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  • 9
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    Microbial oxygen consumption from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. This dataset contains values and calculations to estimate microbial oxygen consumption in groundwater samples from aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning microbial cell counts and oxygen consumption can be found in the associated publication by Ruff et al. 2023.
    Keywords: Accession number, genetics; aquifer; biogeochemistry; Biomass, per consumed O2; Biomass per bacterial cell; Canadian Prairie; Cell count, ratio; communities; DATE/TIME; Event label; Field measurement; GOWN_Airdrie; GOWN_Barons; GOWN_Barrhead; GOWN_Beaverlodge; GOWN_Bigstone; GOWN_Buck_Deep; GOWN_Buck_Lake; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Carseland; GOWN_Cavendish; GOWN_Cluny_North; GOWN_Cluny_South; GOWN_Cochrane_Deep; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Crossfield; GOWN_Cushing_Lake; GOWN_Cynthia; GOWN_Del_Bonita; GOWN_Devon_Botanical; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Duvernay; GOWN_Elnora; GOWN_Elnora_6; GOWN_Fairview; GOWN_Ferintosh; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Mercier; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hand_Hills; GOWN_Hardisty; GOWN_Hardisty_Airport; GOWN_Hays_East; GOWN_Irricana; GOWN_Kehiwin_Lake; GOWN_KEHO_Lake; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Lloydminster; GOWN_McNally; GOWN_Meander_River; GOWN_Medicine_Hat; GOWN_Metiskow; GOWN_Milk_River; GOWN_Ministik; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Oldman_Dam; GOWN_Olds; GOWN_Orton; GOWN_Pakowi; GOWN_Pine_Lake; GOWN_Ponoka; GOWN_Raven; GOWN_Redlands; GOWN_Rich_Lake; GOWN_Rocky_Mt._House; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sibbald; GOWN_Sion_3; GOWN_Smith; GOWN_Smith_Coulee; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Three_Hills; GOWN_Three_Hills_RCA; GOWN_Viking; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; GOWN_Warner_North; GOWN_Wetaskiwin; GOWN_Zama_North; groundwater; LATITUDE; LONGITUDE; microbes; Microbial yield, increase biomass per oxygen; Molecular mass; Number of cells; Oxygen, dissolved; Oxygen saturation; Sample code/label; Sample code/label 2; Sequence identifier; Well; Well, identifier
    Type: Dataset
    Format: text/tab-separated-values, 2318 data points
    Location Call Number Expected Availability
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  • 10
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    Bacterial diversity of Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We investigated the microbiology of groundwater samples from various monitoring wells (〈250m depth) located in 14 aquifers in the Canadian Prairie. This dataset contains bacterial community diversity indices based on 16S rRNA gene amplicons retrieved from 119 groundwater samples of aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning DNA extraction, sequencing and sequence analyses can be found in the associated publication by Ruff et al. 2023.
    Keywords: Accession number, genetics; Amplicon sequence variant, absolute single sequence; Amplicon sequence variant, relative single sequence; Amplicon sequence variant, richness; aquifer; biogeochemistry; Canadian Prairie; Chao 1 richness; communities; DATE/TIME; Event label; Field measurement; GOWN_Airdrie; GOWN_Barons; GOWN_Barrhead; GOWN_Beaverlodge; GOWN_Bigstone; GOWN_Buck_Deep; GOWN_Buck_Lake; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Carseland; GOWN_Cavendish; GOWN_Cluny_North; GOWN_Cluny_South; GOWN_Cochrane_Deep; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Crossfield; GOWN_Cushing_Lake; GOWN_Cynthia; GOWN_Del_Bonita; GOWN_Devon_Botanical; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Duvernay; GOWN_Elnora; GOWN_Elnora_6; GOWN_Fairview; GOWN_Ferintosh; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Mercier; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hand_Hills; GOWN_Hardisty; GOWN_Hardisty_Airport; GOWN_Hays_East; GOWN_Irricana; GOWN_Kehiwin_Lake; GOWN_KEHO_Lake; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Lloydminster; GOWN_McNally; GOWN_Meander_River; GOWN_Metiskow; GOWN_Milk_River; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Oldman_Dam; GOWN_Olds; GOWN_Orton; GOWN_Pakowi; GOWN_Pine_Lake; GOWN_Ponoka; GOWN_Raven; GOWN_Redlands; GOWN_Rich_Lake; GOWN_Rocky_Mt._House; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sibbald; GOWN_Sion_3; GOWN_Smith; GOWN_Smith_Coulee; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Three_Hills; GOWN_Three_Hills_RCA; GOWN_Viking; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; GOWN_Warner_North; GOWN_Wetaskiwin; GOWN_Zama_North; groundwater; Inverse Simpson index of diversity; LATITUDE; LONGITUDE; microbes; Reads; Sample code/label; Sample code/label 2; Sequence identifier; Shannon Diversity Index; Well; Well, identifier
    Type: Dataset
    Format: text/tab-separated-values, 1980 data points
    Location Call Number Expected Availability
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