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  • 1
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    Nitrogen cycling in sediments on the NW African margin inferred from N and O isotopes in benthic chambers (2022)
    Frontiers
    Details
    Publication Date: 2024-02-07
    Description: Benthic nitrogen cycling in the Mauritanian upwelling region (NW Africa) was studied in June 2014 from the shelf to the upper slope where minimum bottom water O 2 concentrations of 25 µM were recorded. Benthic incubation chambers were deployed at 9 stations to measure fluxes of O 2 , dissolved inorganic carbon (DIC) and nutrients (NO 3 - , NO 2 - , NH 4 + , PO 4 3- , H 4 SiO 4 ) along with the N and O isotopic composition of nitrate (δ 15 N-NO 3 - and δ 18 O-NO 3 - ) and ammonium (δ 15 N-NH 4 + ). O 2 and DIC fluxes were similar to those measured during a previous campaign in 2011 whereas NH 4 + and PO 4 3- fluxes on the shelf were 2 – 3 times higher and possibly linked to a long-term decline in bottom water O 2 concentrations. The mean isotopic fractionation of NO 3 - uptake on the margin, inferred from the loss of NO 3 - inside the chambers, was 1.5 ± 0.4 ‰ for 15/14 N ( 15 ϵ app ) and 2.0 ± 0.5 ‰ for 18/16 O ( 18 ϵ app ). The mean 18 ϵ app : 15 ϵ app ratio on the shelf (〈 100 m) was 2.1 ± 0.3, and higher than the value of 1 expected for microbial NO 3 - reduction. The 15 ϵ app are similar to previously reported isotope effects for NO 3 - respiration in marine sediments but lower than determined in 2011 at a same site on the shelf. The sediments were also a source of 15 N-enriched NH 4 + (9.0 ± 0.7 ‰). A numerical model tuned to the benthic flux data and that specifically accounts for the efflux of 15 N-enriched NH 4 + from the seafloor, predicted a net benthic isotope effect of N loss ( 15 ϵ sed ) of 3.6 ‰; far above the more widely considered value of ~0‰. This result is further evidence that the assumption of a universally low or negligible benthic N isotope effect is not applicable to oxygen-deficient settings. The model further suggests that 18 ϵ app : 15 ϵ app trajectories > 1 in the benthic chambers are most likely due to aerobic ammonium oxidation and nitrite oxidation in surface sediments rather than anammox, in agreement with published observations in the water column of oxygen deficient regions.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 2
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    Hydrogen and dark oxygen drive microbial productivity in diverse groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    Description: Around 50% of humankind relies on groundwater aquifers as a source of drinking water. We investigated the age, geochemistry, and microbiology of 138 groundwaters from 87 monitoring wells (〈250m depth) located in 14 aquifers in the Canadian Prairie. This data collection contains geological, physical, geochemical, gas, isotope and other contextual data, as well as microbial cell counts, 16S rRNA gene sequences, community diversity metrics and micrographs. Geochemistry and microbial ecology showed consistent trends suggesting large-scale aerobic and anaerobic hydrogen, methane, nitrogen, and sulfur cycling carried out by diverse microbial communities. Older groundwaters, especially of organic carbon-rich strata, contained on average more cells (up to 1.4'107/mL) than younger groundwaters, challenging current estimates of global groundwater population sizes. Substantial concentrations of dissolved oxygen (0.52±0.12mg/L [mean±SE]; n=57) in older groundwaters could support aerobic lifestyles in subsurface ecosystems at an unprecedented scale. Metagenomics, oxygen isotope analyses and mixing models indicated that “dark oxygen” was produced in situ via microbial dismutation. We show that ancient groundwaters sustain productive communities and highlight an overlooked oxygen source in present and past subsurface ecosystems of Earth.
    Keywords: aquifer; biogeochemistry; communities; Field measurements; groundwater; microbes
    Type: dataset bundled publication
    Format: application/zip, 10 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Results of H2-consumption experiments during METEOR cruise M64/2 (2011)
    PANGAEA
    Details
    Publication Date: 2024-07-23
    Description: The discovery of deep-sea hydrothermal vents in 1977 revolutionized our understanding of the energy sources that fuel primary productivity on Earth. Hydrothermal vent ecosystems are dominated by animals that live in symbiosis with chemosynthetic bacteria. So far, only two energy sources have been shown to power chemosynthetic symbioses: reduced sulphur compounds and methane. Using metagenome sequencing, single-gene fluorescence in situ hybridization, immunohistochemistry, shipboard incubations and in situ mass spectrometry, we show here that the symbionts of the hydrothermal vent mussel Bathymodiolus from the Mid-Atlantic Ridge use hydrogen to power primary production. In addition, we show that the symbionts of Bathymodiolus mussels from Pacific vents have hupL, the key gene for hydrogen oxidation. Furthermore, the symbionts of other vent animals such as the tubeworm Riftia pachyptila and the shrimp Rimicaris exoculata also have hupL. We propose that the ability to use hydrogen as an energy source is widespread in hydrothermal vent symbioses, particularly at sites where hydrogen is abundant.
    Keywords: Comment; DERIDGE; Event label; From Mantle to Ocean: Energy-, Material- and Life-cycles at Spreading Axes; Hydrogen; Hydrogen concentration; Hydrogen consumption rate; Hydrogen consumption rate per weight; HYDROMAR2; M64/2; M64/2-244-ROV; M64/2-263-ROV; M64/2-266-ROV; M64/2-281-ROV; Meteor (1986); Mid-Atlantic Ridge at 10-15°N; Remote operated vehicle; ROV; Sample ID; Time in minutes; Wet mass
    Type: dataset
    Format: text/tab-separated-values, 986 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Contextual and environmental data characterizing 138 samples from Canadian groundwater ecosystems (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-22
    Description: Groundwater ecosystems are globally widespread yet still poorly understood. We therefore investigated contextual and environmental data characterizing 138 groundwater samples from Canadian groundwater ecosystems. The chemical, physical, gas, isotopic, and microbiological measurements were taken from aquifers in the Canadian Prairie 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 methods, results and conclusions can be found in the associated publication by Ruff et al. 2023.
    Keywords: 3H Tritium age dating; Accession number, genetics; Age, 14C AMS; Age, 14C AMS, Mini Carbon Dating System (MICADAS); Age, category; Age, dated; Age, dated, uncertainty; Age, groundwater; Age, groundwater, uncertainty; Alkalinity, total; Ammonia; aquifer; Aquifer, location; Aquifer type; Basin; Bicarbonate ion; biogeochemistry; Calcium, dissolved; Calculated; Canadian Prairie; Carbon-14, modern; Carbon-14, modern, error; Carbon dioxide; Cell; Cell counts, standard deviation; Cell counts, standard error; Cell pellet, color; Cell pellet, consistency; Cell pellet, size; Cells, total; Chloride; communities; Conductivity, specific; DATE/TIME; Depth, description; Depth, sampling; Depth, well; DNA concentration; ELEVATION; Ethane; Event label; Field measurement; Fluoride; Formation; Fraction modern carbon; Fraction modern carbon, error; Gas dryness; 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; Hardness of water; Hydrochemical facies, main salt; Iron 2+; LATITUDE; Lithology/composition/facies; LONGITUDE; Magnesium; Manganese; Methane, dissolved; microbes; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Number of squares; Oxygen; pH; Phosphate; Potassium; Propane; Sample code/label; Sample code/label 2; Sample ID; Sample volume; Sampling date; Sequence identifier; Silica, reactive soluble; Sodium; Storage duration; Sub-basin; Sulfate; Total dissolved solids; Well; Well, depth; Well, diameter; Well, identifier; Well, material; Well, type; δ13C, carbon dioxide; δ13C, dissolved inorganic carbon; δ13C, methane; δ15N, nitrate; δ18O, nitrate; δ18O, sulfate; δ18O, water; δ34S, sulfate; δ Deuterium, methane; δ Deuterium, water
    Type: dataset
    Format: text/tab-separated-values, 9856 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Hydrogen consumption by gills of Bathymodiolus spp. collected at the Comfortless cove and Lilliput hydrothermal vent fields in May 2006 (2013)
    PANGAEA
    Details
    Publication Date: 2024-07-23
    Description: The discovery of deep-sea hydrothermal vents in 1977 revolutionized our understanding of the energy sources that fuel primary productivity on Earth. Hydrothermal vent ecosystems are dominated by animals that live in symbiosis with chemosynthetic bacteria. So far, only two energy sources have been shown to power chemosynthetic symbioses: reduced sulphur compounds and methane. Using metagenome sequencing, single-gene fluorescence in situ hybridization, immunohistochemistry, shipboard incubations and in situ mass spectrometry, we show here that the symbionts of the hydrothermal vent mussel Bathymodiolus from the Mid-Atlantic Ridge use hydrogen to power primary production. In addition, we show that the symbionts of Bathymodiolus mussels from Pacific vents have hupL, the key gene for hydrogen oxidation. Furthermore, the symbionts of other vent animals such as the tubeworm Riftia pachyptila and the shrimp Rimicaris exoculata also have hupL. We propose that the ability to use hydrogen as an energy source is widespread in hydrothermal vent symbioses, particularly at sites where hydrogen is abundant.
    Keywords: Comment; DERIDGE; Event label; From Mantle to Ocean: Energy-, Material- and Life-cycles at Spreading Axes; Hydrogen; Hydrogen concentration; Hydrogen consumption rate; Hydrogen consumption rate per weight; M68/1; M68/1-20-ROV; M68/1-24-ROV; M68/1-39-ROV; M68/1-70-ROV; MARSUED3; Meteor (1986); Remote operated vehicle; ROV; Sample ID; Time in minutes; Tissue piece, number of; Wet mass
    Type: dataset
    Format: text/tab-separated-values, 1582 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Nucleotide sequences of archaeal amplicon sequence variants (ASV) from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    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
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Microscopic images of 45 groundwater samples from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    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 file contains microscopic images of 45 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 cell staining and microscopy can be found in the associated publication by Ruff et al. 2023.
    Keywords: aquifer; biogeochemistry; communities; Field measurement; GOWN_Canada; groundwater; microbes
    Type: dataset
    Format: application/pdf, 212 MBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    Microbial cell counts from Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    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 Limitation Availability
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    DATA PANGAEA
  • 9
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    Bacterial diversity of Canadian Prairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    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 Limitation Availability
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    DATA PANGAEA
  • 10
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    Relative abundances of bacterial amplicon sequence variants (ASV) from Canadian Pairie groundwater ecosystems (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    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 bacterial lineages 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; aquifer; biogeochemistry; Canadian Prairie; Class; communities; DATE/TIME; Event label; Family; Field measurement; Genus; 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; 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, 24831730 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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