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  • 1
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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
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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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
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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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 Limitation Availability
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    DATA PANGAEA
  • 4
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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 Limitation Availability
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    DATA PANGAEA
  • 5
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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 Limitation Availability
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    DATA PANGAEA
  • 6
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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 Limitation Availability
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    DATA PANGAEA
  • 7
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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 Limitation Availability
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    DATA PANGAEA
  • 8
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    Relative abundances of bacterial amplicon sequence variants (ASV) from Canadian Pairie 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 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
  • 9
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    Contextual and environmental data characterizing 138 samples from Canadian groundwater ecosystems (2023)
    PANGAEA
    Details
    Publication Date: 2023-12-31
    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
  • 10
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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: 2024-02-02
    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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