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  • 2020-2024  (15)
  • 1990-1994  (106)
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  • 1
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    GIS-gestützte Risikoanalyse für Rutschungen und Felsstürze in den Ostalpen (Vorarlberg, (2021)
    KIT Scientific Publishing
    Details
    Publication Date: 2024-04-04
    Description: Der Lehrstuhl für Angewandte Geologie der Universität Karlsruhe (AGK) arbeitete in Kooperation mit der INATURA Dornbirn und der Vorarlberger Landesregierung am Projekt Georisikokarte Vorarlberg. Es wurde eine Methodik vorgeschlagen, um die Gefährdung für Hangrutschungen und Felsstürze regional auszuweisen. Die so erstellten Karten sind ein Instrument für die regionale Siedlungs- und Raumplanung und sollen nicht nur Ingenieuren und Raumplanern, sondern auch lokalen Behörden und der ansässigen Bevölkerung einen Einblick in die Naturgefahren geben.
    Keywords: QC1-999 ; Felssturz ; Gefährdung ; Nördliche Kalkalpen ; Suszeptibilität ; Raumordnung ; Geoinformationssystem ; Vorarlberg ; Risikoanalyse ; Rutschung ; bic Book Industry Communication::P Mathematics & science::PH Physics ; thema EDItEUR::P Mathematics and Science::PH Physics
    Language: German
    Format: image/jpeg
    Location Call Number Expected Availability
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    E-BOOK
  • 2
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    Concentrations of select dissolved anions in porewater retrieved by Rhizon sampling from hydrothermal sediments of the Guaymas Basin in 2016 (2021)
    PANGAEA
    Details
    Publication Date: 2023-03-03
    Description: The Guaymas Basin hydrothermal vents in the Gulf of California have been visited during RV Atlantis mission AT37-06 in December 2016. Aim of this mission was to understand element fluxes and microbially driven reactions at the diffusive vent sites. The submarine ALVIN and push cores were used to sample undisturbed sediments at specific locations covering different temperature and geochemical regimes. From these cores porewater was sampled using Rhizons. Here we present concentrations of select anions in the porewater. We measured the concentrations of sulfate, sulfide, chloride, ammonia, phosphate and silicate.
    Keywords: Ammonia; AT37-06; AT37-06_4862-08; AT37-06_4862-32; AT37-06_4867-30; AT37-06_4867-32; AT37-06_4868-10; AT37-06_4868-19; AT37-06_4869-26; AT37-06_4870-29; AT37-06_4870-32; AT37-06_4871-20; AT37-06_4871-23; Atlantis (1997); chloride; Chloride; Continuous Segmented Flow Analyzer, SEAL Analytical, QuAAtro39; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; Guaymas Basin; hydrothermal vent; Ion chromatography; Latitude of event; Longitude of event; phosphate; Phosphate; Photospectrometer, methylene blue; PUC; Push corer; RULER; Ruler stick; Sample ID; silicate; Silicate; sulfate; Sulfate; Sulfide; Sulfide, total
    Type: Dataset
    Format: text/tab-separated-values, 619 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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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 Expected Availability
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    DATA PANGAEA
  • 4
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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 Expected Availability
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    DATA PANGAEA
  • 5
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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
  • 6
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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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    DATA PANGAEA
  • 7
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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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    DATA PANGAEA
  • 8
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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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    DATA PANGAEA
  • 9
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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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    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: 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 Expected Availability
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    DATA PANGAEA
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