http://lod.bco-dmo.org/id/dataset/775547 eng; USA utf8 dataset Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact 2019-08-16 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores 2019-09-05 publication 2019-09-05 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2019-09-05 publication https://doi.org/10.1575/1912/bco-dmo.775547.1 Lisa G. Chambers University of Central Florida principalInvestigator Robert L. Cook Louisiana State University principalInvestigator John R. White Louisiana State University principalInvestigator Zuo Xue Louisiana State University principalInvestigator Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. publisher Cite this dataset as: Chambers, L., Steinmuller, H., Dittmer, K., White, J., Cook, R., Xue, Z. (2019) Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-09-05 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.775547.1 [access date] Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores, 2017 Dataset Description: &lt;p&gt;Nine soil cores (1 m deep) were collected from three sites within Barataria Bay, LA (USA). Both the biogeochemical properties of the soils with depth were determined, as well as the impacts of the introduction of oxygenated seawater on carbon mineralization rates.&lt;/p&gt; Methods and Sampling: &lt;p&gt;Moisture Content:&lt;br /&gt; Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).&lt;/p&gt; &lt;p&gt;Bulk Density:&lt;br /&gt; Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).&lt;/p&gt; &lt;p&gt;pH:&lt;br /&gt; Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA).&lt;/p&gt; &lt;p&gt;Total Carbon:&lt;br /&gt; Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.&lt;/p&gt; &lt;p&gt;Total Nitrogen:&lt;br /&gt; Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.&lt;/p&gt; &lt;p&gt;Total Phosphorus:&lt;br /&gt; Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h, then soils were digested with 50 mL of 1 N HCl at 100 °C for 30 min, and filtered through Whatman #41 filter paper for total P analysis (Andersen, 1976). Total P content was then determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2.&lt;/p&gt; &lt;p&gt;Organic Matter Content:&lt;br /&gt; Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h.&lt;/p&gt; &lt;p&gt;Extractable Dissolved Organic Carbon:&lt;br /&gt; 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm then immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan).&lt;/p&gt; &lt;p&gt;Extractable Nitrate:&lt;br /&gt; 2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &amp;lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).&lt;/p&gt; &lt;p&gt;Extractable Ammonium:&lt;br /&gt; 2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &amp;lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).&lt;/p&gt; &lt;p&gt;Extractable Soluble Reactive Phosphorus:&lt;br /&gt; 2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &amp;lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).&lt;/p&gt; &lt;p&gt;Microbial Biomass Carbon:&lt;br /&gt; Microbial biomass C (MBC) was determined on soils both immediately after the field sampling and soils from the bottles after the incubation period following the method outlined in Vance et al. (1987). Duplicates of approximately 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and assigned to either a fumigate or non-fumigate treatment. The fumigated samples were exposed to gaseous chloroform for 24 h in a glass desiccator. After 24 h, the sam- ples were extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm. After incubation, samples were immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Non-fumigate samples were processed in the same manner, excluding the chloroform fumigation. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Microbial biomass C was calculated as the difference between the fumigated samples and the non-fumigated samples.&lt;/p&gt; &lt;p&gt;B-glucosidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;N‐acetyl‐beta‐D‐glucosaminidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Alkaline phosphatase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Xylosidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Cellobiosidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Rate of carbon dioxide production (potential):&lt;br /&gt; Duplicate subsamples (approximately 7 g) from each depth segment of each core were weighed into 100 mL glass serum bottles, capped with a rubber septa and aluminum crimp and evacuated to −75 mm Hg. Replicate bottles were randomly assigned to one of two treatments: anaerobic (purged with 99% O2-free N2 gas for 3 min), or aerobic (purged with Breathing Grade air containing 21% O2 for 3 min). Anaerobic bottles were injected with 14 mL of filtered, N2-purged site water, while aerobic bottles were injected with 14 mL of filtered, breathing air-purged site water. Bottles were then placed on an orbital shaker at 150 rpm and 25 °C. Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector. Respiration rates were calculated as the change in CO2 production over time. After each gas sample was extracted from the bottles' headspace, the bottle was purged with either 99% O2- free N2 gas or Breathing Grade air for 3 min, depending on treatment.&lt;/p&gt; &lt;p&gt;Rate of nitrate mineralization (potential):&lt;br /&gt; Following the 14 day incubation, bottles were uncapped, and the remaining soil sample was placed in a 20 mL HDPE scintillation vials&lt;/p&gt; &lt;p&gt;Rate of ammonium mineralization (potential):&lt;br /&gt; for analysis of extractable ammonium (NH4+), nitrate (NO3−), and soluble reactive phosphorus (SRP), microbial biomass C, and enzyme analysis.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1635837 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1635837 completed Lisa G. Chambers University of Central Florida 407-823-2922 4000 Central Florida Blvd. Bldg. 20, BIO 301 Orlando FL 32816 USA lisa.chambers@ucf.edu pointOfContact Robert L. Cook Louisiana State University 225-578-2980 Department of Chemistry 232 Choppin Hall Baton Rouge LA 70803 USA rlcook@lsu.edu pointOfContact John R. White Louisiana State University 225-578-8792 3239 Energy, Coast & Environment Bldg Baton Rouge LA 70803 USA jrwhite@lsu.edu pointOfContact Zuo Xue Louisiana State University 225-578-2760 3239 Energy, Coast & Environment Bldg Baton Rouge LA 70803 USA zxue@lsu.edu pointOfContact asNeeded Dataset Version: 1 Unknown site_id replicate depth nag_aerob ap_aerob bg_aerob xy_aerob cb_aerob extractable_nitrate_aerob extractable_ammonium_aerob extractable_srp_aerob microbial_biomass_carbon_aerob potentially_mineralizable_nitrate_aerob potentially_mineralizable_ammonium_aerob carbon_dioxide_rate_aerob nag_anaerob ap_anaerob bg_anaerob xy_anaerob cb_anaerob extractable_nitrate_anaerob extractable_ammonium_anaerob extractable_srp_anaerob microbial_biomass_carbon_anaerob potentially_mineralizable_nitrate_anaerob potentially_mineralizable_ammonium_anaerob carbon_dioxide_rate_anaerob lat lon moisture_content_pcnt_field bulk_density_g_cm_3_field ph_field pcnt_organic_matter_field total_n_g_kg_field total_c_g_kg_field total_n_g_cm_3_field total_c_g_cm_3_field total_p_mg_kg_field nag_field ap_field bg_field xy_field cb_field extractable_doc_field extractable_nitrate_field extractable_ammonium_field extractable_srp_field microbial_biomass_c_field Accument bench top pH probe Vario Micro Cube CHNS Analyzer AQ2 Automated Discrete Analyzer GC-2014 gas chromatograph Shimadzu TOC-L Analyzer theme None, User defined site replicate depth core No BCO-DMO term Nitrate Ammonium SRP biomass_C latitude longitude pH Nitrogen Elemental carbon (C) Phosphorus dissolved organic Carbon featureType BCO-DMO Standard Parameters Benchtop pH Meter CHN Elemental Analyzer Discrete Analyzer Gas Chromatograph Shimadzu TOC-L Analyzer instrument BCO-DMO Standard Instruments otherRestrictions otherRestrictions Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use. Fate of Coastal Wetland Carbon Under Increasing Sea Level Rise: Using the Subsiding Louisiana Coast as a Proxy for Future World-Wide Sea Level Projections https://osprey.bco-dmo.org/project/670520 Fate of Coastal Wetland Carbon Under Increasing Sea Level Rise: Using the Subsiding Louisiana Coast as a Proxy for Future World-Wide Sea Level Projections <p><em>Description from NSF award abstract:</em><br /> Coastal Louisiana is currently experiencing net sea level rise at rates higher than most of the world's coastlines and within the global range predicted to occur in the next 65 - 85 years, making Louisiana an ideal site to study potential future impacts of rising sea level on coastal systems. This project will use field collection and controlled tank experiments to study the changing organic carbon cycle resulting from erosion of marsh soils along with its impact on associated biogeochemical processes. The hypothesis tested in this study is that the majority of eroded soil organic carbon is converted to carbon dioxide (CO2) and released to the atmosphere, representing an addition to the anthropogenic input of CO2. This process has not been quantified and could be an important missing component in predictive models of atmospheric CO2 changes. While this process may be of only regional importance today in comparison to other sources of CO2, this study of the Louisiana coast will greatly enhance our full understanding of the potential impacts on the global carbon cycle that may result from coastal erosion as global sea level continues to rise.</p> <p>The project will train graduate and undergraduate students in interdisciplinary research involving marine and wetland biogeochemistry, microbiology, and ecological modeling. It will also fund development of an interactive, educational display on the loss of coastal wetlands for the Louisiana Sea Grant's annual Ocean Commotion educational event attended by area middle and high school students, teachers, and parents. Results from this study may also inform community planners both regionally and worldwide as they prepare for sea level rise in coastal communities.</p> <p>Eustatic sea level rise and regional subsidence have created a much greater rate of coastline loss in Louisiana than is being experienced in most of the world's coastal regions, reaching global rates that are predicted to occur worldwide in 65 - 85 years. This provides a unique potential to extrapolate data from Louisiana's changing coastal carbon cycle to both regional and global models of the future impact of sea level rise and coastal erosion. By quantifying and modeling the importance of CO2 emissions resulting directly from mineralized soil organic matter from eroding coastlines, a missing element can be added to climate change models. The PIs here plan to investigate the fate of the coastal wetland carbon pool as it erodes using field sampling, laboratory analysis, mesocosm manipulations, and the creation of a coupled physical-biogeochemical model for the basin being studied. Beyond quantifying increased CO2 emission, the PIs will also address the potential for increased eutrophication due to input of nutrients from eroded soils, as well as the potential for future contribution to existing hypoxic zones in the northern Gulf of Mexico that result from excessive nutrient input from the Mississippi River watershed.</p> Submerged Wetland Carbon largerWorkCitation project eng; USA oceans -89.9026 -89.8998 29.4414 29.4436 2019-09-05 Coastal Lousiana 0 BCO-DMO catalogue of parameters from Barataria Bay carbon mineralization and biogeochemical properties from nine soil cores Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact http://lod.bco-dmo.org/id/dataset-parameter/775550.rdf Name: site_id Units: unitless Description: <p>site identifier</p> http://lod.bco-dmo.org/id/dataset-parameter/775551.rdf Name: replicate Units: unitless Description: <p>replicate identifier</p> http://lod.bco-dmo.org/id/dataset-parameter/775552.rdf Name: depth Units: centimeters (cm) Description: <p>depth in core</p> http://lod.bco-dmo.org/id/dataset-parameter/775553.rdf Name: nag_aerob Units: nmol MUF g−1 min−1 Description: <p>N‐acetyl‐beta‐D‐glucosaminidase activity under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775554.rdf Name: ap_aerob Units: nmol MUF g−1 min−1 Description: <p>Alkaline phosphatase activity under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775555.rdf Name: bg_aerob Units: nmol MUF g−1 min−1 Description: <p>B-glucosidase activity under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775556.rdf Name: xy_aerob Units: nmol MUF g−1 min−1 Description: <p>Xylosidase activity under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775557.rdf Name: cb_aerob Units: nmol MUF g−1 min−1 Description: <p>Cellobiosidase activity under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775558.rdf Name: extractable_nitrate_aerob Units: mg kg-1 Description: <p>Extractable Nitrate under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775559.rdf Name: extractable_ammonium_aerob Units: mg kg-1 Description: <p>Extractable Ammonium under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775560.rdf Name: extractable_srp_aerob Units: mg kg-1 Description: <p>Extractable Soluble Reactive Phosphorus under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775561.rdf Name: microbial_biomass_carbon_aerob Units: mg kg-1 Description: <p>Microbial Biomass Carbon under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775562.rdf Name: potentially_mineralizable_nitrate_aerob Units: mg NH4+ kg -1 d−1 Description: <p>Rate of nitrate mineralization (potential) under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775563.rdf Name: potentially_mineralizable_ammonium_aerob Units: mg NH4+ kg -1 d−1 Description: <p>Rate of ammonium mineralization (potential) under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775564.rdf Name: carbon_dioxide_rate_aerob Units: mg CO2-C kg−1 h−1 Description: <p>Rate of carbon dioxide production (potential) under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775565.rdf Name: nag_anaerob Units: nmol MUF g−1 min−1 Description: <p>N‐acetyl‐beta‐D‐glucosaminidase activity under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775566.rdf Name: ap_anaerob Units: nmol MUF g−1 min−1 Description: <p>Alkaline phosphatase activity under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775567.rdf Name: bg_anaerob Units: nmol MUF g−1 min−1 Description: <p>B-glucosidase activity under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775568.rdf Name: xy_anaerob Units: nmol MUF g−1 min−1 Description: <p>Xylosidase activity under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775569.rdf Name: cb_anaerob Units: nmol MUF g−1 min−1 Description: <p>Cellobiosidase activity under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775570.rdf Name: extractable_nitrate_anaerob Units: mg kg-1 Description: <p>Extractable Nitrate under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775571.rdf Name: extractable_ammonium_anaerob Units: mg kg-1 Description: <p>Extractable Ammonium under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775572.rdf Name: extractable_srp_anaerob Units: mg kg-1 Description: <p>Extractable Soluble Reactive Phosphorus under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775573.rdf Name: microbial_biomass_carbon_anaerob Units: mg kg-1 Description: <p>Microbial Biomass Carbon under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775574.rdf Name: potentially_mineralizable_nitrate_anaerob Units: mg NH4+ kg -1 d−1 Description: <p>Rate of nitrate mineralization (potential) under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775575.rdf Name: potentially_mineralizable_ammonium_anaerob Units: mg NH4+ kg -1 d−1 Description: <p>Rate of ammonium mineralization (potential) under aerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775576.rdf Name: carbon_dioxide_rate_anaerob Units: mg CO2-C kg−1 h−1 Description: <p>Rate of carbon dioxide production (potential) under anaerobic conditions</p> http://lod.bco-dmo.org/id/dataset-parameter/775577.rdf Name: lat Units: decimal degrees Description: <p>Latitude of observations with positive values indicating North</p> http://lod.bco-dmo.org/id/dataset-parameter/775578.rdf Name: lon Units: decimal degrees Description: <p>Longitude of observations with negative values indicating West</p> http://lod.bco-dmo.org/id/dataset-parameter/775579.rdf Name: moisture_content_pcnt_field Units: precent Description: <p>percent moisture content</p> http://lod.bco-dmo.org/id/dataset-parameter/775580.rdf Name: bulk_density_g_cm_3_field Units: g cm-3 Description: <p>bulk density</p> http://lod.bco-dmo.org/id/dataset-parameter/775581.rdf Name: ph_field Units: pH scale Description: <p>pH</p> http://lod.bco-dmo.org/id/dataset-parameter/775582.rdf Name: pcnt_organic_matter_field Units: percent Description: <p>Organic matter content</p> http://lod.bco-dmo.org/id/dataset-parameter/775583.rdf Name: total_n_g_kg_field Units: g kg-1 Description: <p>Total Nitrogen</p> http://lod.bco-dmo.org/id/dataset-parameter/775584.rdf Name: total_c_g_kg_field Units: g kg-1 Description: <p>Total Carbon</p> http://lod.bco-dmo.org/id/dataset-parameter/775585.rdf Name: total_n_g_cm_3_field Units: g cm-3 Description: <p>Total Nitrogen</p> http://lod.bco-dmo.org/id/dataset-parameter/775586.rdf Name: total_c_g_cm_3_field Units: g cm-3 Description: <p>Total Carbon</p> http://lod.bco-dmo.org/id/dataset-parameter/775587.rdf Name: total_p_mg_kg_field Units: mg kg-1 Description: <p>Total Phosphorus</p> http://lod.bco-dmo.org/id/dataset-parameter/775588.rdf Name: nag_field Units: nmol MUF g−1 min−1 Description: <p>N‐acetyl‐beta‐D‐glucosaminidase activity in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775589.rdf Name: ap_field Units: nmol MUF g−1 min−1 Description: <p>Alkaline phosphatase activity in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775590.rdf Name: bg_field Units: nmol MUF g−1 min−1 Description: <p>B-glucosidase activity in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775591.rdf Name: xy_field Units: nmol MUF g−1 min−1 Description: <p>Xylosidase activity in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775592.rdf Name: cb_field Units: nmol MUF g−1 min−1 Description: <p>Cellobiosidase activity in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775593.rdf Name: extractable_doc_field Units: mg kg-1 Description: <p>Extractable Dissolved Organic Carbon in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775594.rdf Name: extractable_nitrate_field Units: mg kg-1 Description: <p>Extractable Nitrate in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775595.rdf Name: extractable_ammonium_field Units: mg kg-1 Description: <p>Extractable Ammonium in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775596.rdf Name: extractable_srp_field Units: mg kg-1 Description: <p>Extractable Soluble Reactive Phosphorus in the field</p> http://lod.bco-dmo.org/id/dataset-parameter/775597.rdf Name: microbial_biomass_c_field Units: mg kg-1 Description: <p>Microbial Biomass Carbon in the field</p> GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact 37795 https://darchive.mblwhoilibrary.org/bitstream/1912/24510/1/dataset-775547_carbon-mineralization__v1.tsv download https://doi.org/10.1575/1912/bco-dmo.775547.1 download onLine dataset &lt;p&gt;Moisture Content:&lt;br /&gt; Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).&lt;/p&gt; &lt;p&gt;Bulk Density:&lt;br /&gt; Drying a subsample of soil using a gravimetric oven at 70 °C after 3 days or until a constant weight was achieved. Dried soils were ground using a SPEX Sample Prep 8000M Mixer/Mill (Metuchen, NJ).&lt;/p&gt; &lt;p&gt;pH:&lt;br /&gt; Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA).&lt;/p&gt; &lt;p&gt;Total Carbon:&lt;br /&gt; Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.&lt;/p&gt; &lt;p&gt;Total Nitrogen:&lt;br /&gt; Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples.&lt;/p&gt; &lt;p&gt;Total Phosphorus:&lt;br /&gt; Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h, then soils were digested with 50 mL of 1 N HCl at 100 °C for 30 min, and filtered through Whatman #41 filter paper for total P analysis (Andersen, 1976). Total P content was then determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2.&lt;/p&gt; &lt;p&gt;Organic Matter Content:&lt;br /&gt; Dried, ground sub- samples were used to determine percent organic matter using the loss- on-ignition method, where soils were burned at 550°C in a muffle furnace for a total of 3 h.&lt;/p&gt; &lt;p&gt;Extractable Dissolved Organic Carbon:&lt;br /&gt; 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm then immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan).&lt;/p&gt; &lt;p&gt;Extractable Nitrate:&lt;br /&gt; 2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &amp;lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).&lt;/p&gt; &lt;p&gt;Extractable Ammonium:&lt;br /&gt; 2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &amp;lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).&lt;/p&gt; &lt;p&gt;Extractable Soluble Reactive Phosphorus:&lt;br /&gt; 2.5 g of wet soil (both from the field and from the bottle incubation) into 40 mL centrifuge tubes and adding 25 mL of 2 M KCl. Samples were then shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm, then centrifuged for 10 min at 10 °C and 5000 rpm. Following the centrifuge, samples were immediately filtered through Supor 0.45 μM filters and acidified with double distilled H2SO4 to a pH of &amp;lt; 2 for preservation. Extractable nutrients samples were then analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0).&lt;/p&gt; &lt;p&gt;Microbial Biomass Carbon:&lt;br /&gt; Microbial biomass C (MBC) was determined on soils both immediately after the field sampling and soils from the bottles after the incubation period following the method outlined in Vance et al. (1987). Duplicates of approximately 1 g dry weight of field-moist soil were weighed into 40 mL centrifuge tubes and assigned to either a fumigate or non-fumigate treatment. The fumigated samples were exposed to gaseous chloroform for 24 h in a glass desiccator. After 24 h, the sam- ples were extracted with 25 mL of 0.5 M K2SO4, placed in an orbital shaker for 1 h at 25 °C and 150 rpm. After incubation, samples were immediately centrifuged for 10 min at 10 °C and 5000 rpm. The supernatant was vacuum filtered through Supor 0.45 μM filters, acidified with double distilled H2SO4 for preservation, and stored at 4 °C until analysis. Non-fumigate samples were processed in the same manner, excluding the chloroform fumigation. Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Microbial biomass C was calculated as the difference between the fumigated samples and the non-fumigated samples.&lt;/p&gt; &lt;p&gt;B-glucosidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;N‐acetyl‐beta‐D‐glucosaminidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Alkaline phosphatase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Xylosidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Cellobiosidase activity:&lt;br /&gt; Assays were conducted using fluorescent substrate 4‐ methylumbelliferone (MUF) for standardization and fluorescently labeled MUF-specific sub- strates (German et al., 2011). To create a 1:100 slurry, 0.5 g of soil was added to 39 mL of autoclaved distilled deionized water and shaken continuously on an orbital shaker for 1 h at 25 °C and 150 rpm. Fluor- escence was measured at excitation/emission wavelengths 360/460 on a BioTek Synergy HTX (BioTek Instruments, Inc., Winooski, VT, USA) both immediately after substrate and sample were added, and 24 h later to determine a rate of enzyme activity.&lt;/p&gt; &lt;p&gt;Rate of carbon dioxide production (potential):&lt;br /&gt; Duplicate subsamples (approximately 7 g) from each depth segment of each core were weighed into 100 mL glass serum bottles, capped with a rubber septa and aluminum crimp and evacuated to −75 mm Hg. Replicate bottles were randomly assigned to one of two treatments: anaerobic (purged with 99% O2-free N2 gas for 3 min), or aerobic (purged with Breathing Grade air containing 21% O2 for 3 min). Anaerobic bottles were injected with 14 mL of filtered, N2-purged site water, while aerobic bottles were injected with 14 mL of filtered, breathing air-purged site water. Bottles were then placed on an orbital shaker at 150 rpm and 25 °C. Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector. Respiration rates were calculated as the change in CO2 production over time. After each gas sample was extracted from the bottles' headspace, the bottle was purged with either 99% O2- free N2 gas or Breathing Grade air for 3 min, depending on treatment.&lt;/p&gt; &lt;p&gt;Rate of nitrate mineralization (potential):&lt;br /&gt; Following the 14 day incubation, bottles were uncapped, and the remaining soil sample was placed in a 20 mL HDPE scintillation vials&lt;/p&gt; &lt;p&gt;Rate of ammonium mineralization (potential):&lt;br /&gt; for analysis of extractable ammonium (NH4+), nitrate (NO3−), and soluble reactive phosphorus (SRP), microbial biomass C, and enzyme analysis.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;All statistical analysis was performed using R (R Foundation for Statistical Computing, Vienna, Austria) within RStudio (RStudio Team, 2015). Prior to determining significance, all parameters were analyzed for homogeneity of variance using Levene's test, and assumptions of normality using the Shapiro-Wilk test. If datasets were not normal, they were transformed using a logarithmic transformation to meet the as- sumptions of normality.&lt;/p&gt; &lt;p&gt;Data was separated into field characteristics (before the incuba- tion), and experimental results (following the incubation). Field characteristics were analyzed using a linear mixed-effect model in R with site and depth as predictor variables. ‘Core’ was included as a random effect to test for effects of replicate cores taken at each site. Post-hoc tests were conducted using package lsmeans via the Tukey method. Pearson product-moment correlations were also performed between all field characteristics. Significance was determined based on an alpha value of 0.05 for all tests, and adjusted&amp;nbsp;with a Bonferroni correction to 0.004.&lt;/p&gt; &lt;p&gt;Experimental results were analyzed via a linear mixed-effect model in R with treatment, depth, the interaction between treatment and depth, and site as predictor variables. Core was again included as a random effect. The lsmeans package was used to determine post-hoc significance based on the Tukey method. Significance was determined based on an alpha value modified by a Bonferroni correction to 0.004.&lt;/p&gt; &lt;p&gt;BCO-DMO Processing Notes:&lt;br /&gt; -&amp;nbsp;added conventional header with dataset name, PI name, version date&lt;br /&gt; - modified parameter names to conform with BCO-DMO naming conventions&lt;br /&gt; - combined the submitted datasheets for anaerobic, aerobic, and field results into one dataset using the site_id, replicate, and depth as a joining key.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt; Specified by the Principal Investigator(s) asNeeded 7.x-1.1 Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact Accument bench top pH probe Accument bench top pH probe PI Supplied Instrument Name: Accument bench top pH probe PI Supplied Instrument Description:Soil pH was determined by creating a 1:5 slurry of soil to distilled, deionized water, and sub- sequent measurement using an Accument bench top pH probe (Accumet XL200, ThermoFisher Scientific, Waltham, MA, USA). Instrument Name: Benchtop pH Meter Instrument Short Name:Benchtop pH Meter Instrument Description: An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature. (McGraw-Hill Dictionary of Scientific and Technical Terms) This instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column. Benchtop models are typically employed for stationary lab applications. Vario Micro Cube CHNS Analyzer Vario Micro Cube CHNS Analyzer PI Supplied Instrument Name: Vario Micro Cube CHNS Analyzer PI Supplied Instrument Description:Total Carbon content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples. Total Nitrogen content was determined by use of a Vario Micro Cube CHNS Analyzer on dried, ground subsamples. Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples. AQ2 Automated Discrete Analyzer AQ2 Automated Discrete Analyzer PI Supplied Instrument Name: AQ2 Automated Discrete Analyzer PI Supplied Instrument Description:Total P content was determined colorimetrically via an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI) in accordance with EPA method 365.1 Rev. 2. Extractable nutrients samples were analyzed using an AQ2 Automated Discrete Analyzer (Seal Analytical, Mequon, WI, EPA methods 231-A Rev.0, 210-A Rev.1, and 204-A Rev.0). Instrument Name: Discrete Analyzer Instrument Short Name:Discrete Analyzer Instrument Description: Discrete analyzers utilize discrete reaction wells to mix and develop the colorimetric reaction, allowing for a wide variety of assays to be performed from one sample. These instruments are ideal for drinking water, wastewater, soil testing, environmental and university or research applications where multiple assays and high throughput are required. GC-2014 gas chromatograph GC-2014 gas chromatograph PI Supplied Instrument Name: GC-2014 gas chromatograph PI Supplied Instrument Description:Headspace samples were taken at 1, 2, 4, 7, 10, and 14 day time points, and injected into a GC-2014 gas chromatograph (Shimadzu Instrument, Kyoto, Japan) equipped with a flame ionization detector. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/ Shimadzu TOC-L Analyzer Shimadzu TOC-L Analyzer PI Supplied Instrument Name: Shimadzu TOC-L Analyzer PI Supplied Instrument Description:Dissolved organic carbon (DOC) was determined by use of a Shimadzu TOC-L Analyzer (Kyoto, Japan). Instrument Name: Shimadzu TOC-L Analyzer Instrument Short Name:Shimadzu TOC-L Instrument Description: A Shimadzu TOC-L Analyzer measures DOC by high temperature combustion method. Developed by Shimadzu, the 680 degree C combustion catalytic oxidation method is now used worldwide. One of its most important features is the capacity to efficiently oxidize hard-to-decompose organic compounds, including insoluble and macromolecular organic compounds. The 680 degree C combustion catalytic oxidation method has been adopted for the TOC-L series. http://www.shimadzu.com/an/toc/lab/toc-l2.html Community Standard Description: http://onto.nerc.ac.uk/CAST/124.html