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46 results for “Sediment sampling”
Sediment elevation measurements from the GCE LTER Seawater Addition Long-Term Experiment (SALTEx) sampling sites from July 2013 to August 2022
SALTEx (Seawater Addition Long-Term Experiment) is a field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots, each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. We are measuring soil surface elevation tables (SETs) in the plots as one of the response variables for the SALTEx project.
Sediment elevation measurements for 10 GCE-LTER sampling sites from December 2001 to December 2020
Soil surface elevation was measured in tidal marshes at 10 GCE-LTER sampling sites from December 2001 to December 2020 using a sediment elevation table method. The sites represent three estuaries of the Georgia coast (USA) that vary in delivery of freshwater and sediment. The study was conducted to evaluate the effects of freshwater input on marsh accretion and subsidence. In 2013, rod SETs were added at site 11 and installed to replace broken SETs at sites 7 and 9 (which broke in 2012).
Data to reproduce the results presented in Lake et al. 2021. Journal of Soils and Sediments, https://doi.org/10.1007/s11368-021-03107-6 ("High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting – implications for sediment fingerprinting")
<p>This repository contains data on (1) the absorbance data and (2) the measured concentrations, to reproduce computational results as presented in:<br> "High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting – implications for sediment fingerprinting".</p> <p> <br> 1. Absorbance data (200-730 nm wavelengths):</p> <p> * Average absorbance compensated for measured concentrations (average absorbance value per concentration)<br> * Average absorbance compensated for theoretical concentrations (average absorbance value per concentration)<br> * Average raw absorbance measured (average absorbance value per concentration)<br> * Raw absorbance measured (all absorbance values for all concentrations)</p> <p> Data in all 3 files is indicated per soil sample / mixture, with corresponding fraction(s) of soil sample(s) and corresponding (theoretical) input concentration.<br> <br> 2. Measured concentration data:</p> <p> * Measured concentration (average concentrations, tested for all experiments and for all theoretical input concentrations)</p> <p> </p>
Hyperspectral data of Vigo sediment samples
<h2>Abstract</h2> <p>Reflectance and Radiance converted hyperspectral data of 9 sediment samples. The samples were collected by UPORTO and IGME from Vigo Campaign fieldwork in Sept 2023 but they were scanned at Ecotone lab in Trondheim by UHI in February 2024. The data was scanned for both dry and wet sediments.</p> <p>This depository contains data generated within the European S34 project.</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Hyperspectral data of Vigo sediment samples</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Reflectance and Radiance converted hyperspectral data of 9 sediment samples. The samples were collected by UPORTO and IGME from Vigo Campaign fieldwork in Sept 2023 but they were scanned at Ecotone lab in Trondheim by UHI in February 2024. The data was scanned for both dry and wet sediments.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Reflectance estimated hyperspectral data, Radiance converted hyperspectral data, sediments, sand, mineral resource</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>Report, photo</p> <p>Raw data: <a href="https://doi.org/10.5281/zenodo.13462199">https://doi.org/10.5281/zenodo.13462199</a></p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Mineral resources</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>3.04.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>3.04.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p>HDF5</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>1.5m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>EPSG 3035</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Ecotone AS (info@ecotone.com)</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>Ecotone AS</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Ecotone AS (info@ecotone.com)</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
Biogeochemical rate data and sediment properties of samples used for a controlled flow through experiment testing the effect of nitrate on organic matter decomposition, PIE LTER, Plum Island Sound estuary, Massachusetts.
In this dataset, we used a controlled flow-through reactor (FTR) experiment to test the role of nitrate as an electron acceptor, and its effect on organic matter decomposition and the associated microbial community in salt marsh sediments. Organic matter decomposition significantly increased in response to nitrate, even at sediment depths typically considered resistant to decomposition. The use of isotope tracers suggests this pattern was largely driven by stimulated denitrification. Nitrate addition also significantly altered the microbial community and decreased alpha diversity, selecting for taxa belonging to groups known to reduce nitrate and oxidize more complex forms of organic matter. Fourier Transform-Infrared Spectroscopy further supported these results, suggesting that nitrate facilitated decomposition of complex organic matter compounds into more bioavailable forms. Taken together, these results suggest the existence of organic matter pools that only become accessible with nitrate and would otherwise remain stabilized in the sediment. The existence of such pools could have important implications for carbon storage, since greater decomposition rates as N loading increases may result in less overall burial of organic-rich sediment. Given the extent of nitrogen loading along our coastlines, it is imperative that we better understand the resilience of salt marsh systems to nutrient enrichment, especially if we hope to rely on salt marshes, and other blue carbon systems, for long-term carbon storage.
Data from: eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
<p>Fauna monitoring often relies on visual monitoring techniques such as camera trappings, which have biases leading to underestimates of vertebrate species diversity. Environmental DNA (eDNA) has emerged as a new source of biodiversity data that may improve biomonitoring; however, eDNA based assessments of species richness remain relatively untested in terrestrial environments. We investigated the suitability of fallen log hollow sediment as a source of vertebrate eDNA, across two sites in south-western Australia - one with a Mediterranean climate and the other semi-arid. We compared two different approaches (camera trapping and eDNA metabarcoding) for monitoring of vertebrate species, and investigated the effect of other factors (frequency of species, timing of visits, frequency of sampling, body size) on vertebrate species detectability. Metabarcoding of hollow sediments resulted in the detection of higher species richness in comparison Hollow sediment detected higher species richness (29 taxa: six birds, three reptiles and 20 mammals) to metabarcoding of soil at the entrance of the hollow (13 taxa: three birds, two reptiles and eight mammals). We detected 31 taxa in total with eDNA metabarcoding and 47 with camera traps, with 14 taxa detected by both (12 mammals and two birds). By comparing camera trap data with eDNA read abundance, we were able to detect vertebrates through eDNA metabarcoding that had visited the area up to two months prior to sample collection. Larger animals were more likely to be detected, and so were vertebrates that were identified multiple times in the camera traps. These findings demonstrate the importance of substrate selection, frequency of sampling, and animal size, on eDNA based monitoring. Future eDNA experimental design should consider all these factors as they affect detection of target taxa. </p>
Text-fig. 3. Examples of plant macrofossil assemblages from post-evaporitic sections. a: bedding plane from Ciabòt Cagna covered by impressions of plant parts, with dominance of leaves of cf. Oleinites liguricus M.SACHSE, MCEA-P05038. b: waterloggedcompressed seeds of Toddalia latisiliquata (R.LUDW.) H.-J.GREGOR sieved out of a bulk sediment sample from Pollenzo, MGPTPU141033. c: millimeter-sized, waterlogged-compressed seeds of Sambucus pulchella C.REID et E.REID with abundant cracks, probably formed during both diagenesis and extraction of the fossils (bulk sediment sample from Ciabòt Cagna), MGPT- in Late Messinian Flora From The Post-Evaporitic Deposits Of The Piedmont Basin (Northwest Italy)
Text-fig. 3. Examples of plant macrofossil assemblages from post-evaporitic sections. a: bedding plane from Ciabòt Cagna covered by impressions of plant parts, with dominance of leaves of cf. Oleinites liguricus M.SACHSE, MCEA-P05038. b: waterloggedcompressed seeds of Toddalia latisiliquata (R.LUDW.) H.-J.GREGOR sieved out of a bulk sediment sample from Pollenzo, MGPTPU141033. c: millimeter-sized, waterlogged-compressed seeds of Sambucus pulchella C.REID et E.REID with abundant cracks, probably formed during both diagenesis and extraction of the fossils (bulk sediment sample from Ciabòt Cagna), MGPT-
Text-fig. 7. Stereomicroscope microphotographs of plant remains sieved out of a sediment bulk sample (C3X) from bed GLA10 of Govone. a: Tetraclinis salicornioides (UNGER) KVAČEK, shoot fragment, MGPT-PU141083). b: Toddalia latisiliquata (R.LUDW.) H.-J. GREGOR, seed, MGPT-PU141084. c: Toddalia rhenana H.-J.GREGOR, seed, MGPT-PU141085. d: Eurya stigmosa (R.LUDW.) MAI, small seed with piths filled by organic remains and sediment, MGPT-PU141086. e: Eurya stigmosa (R.LUDW.) MAI, fragmentary seed, MGPT-PU141087. f: Visnea germanica MENZEL, fruit from two opposite sides, MGPT-PU141088. g: Symplocos casparyi R.LUDW., endocarp in lateral view from two opposite sides, MGPT-PU141089. Scale bar 1 mm. in Remains Of A Subtropical Humid Forest In A Messinian Evaporitebearing Succession At Govone, Northwestern Italy - Preliminary Results
Text-fig. 7. Stereomicroscope microphotographs of plant remains sieved out of a sediment bulk sample (C3X) from bed GLA10 of Govone. a: Tetraclinis salicornioides (UNGER) KVAČEK, shoot fragment, MGPT-PU141083). b: Toddalia latisiliquata (R.LUDW.) H.-J. GREGOR, seed, MGPT-PU141084. c: Toddalia rhenana H.-J.GREGOR, seed, MGPT-PU141085. d: Eurya stigmosa (R.LUDW.) MAI, small seed with piths filled by organic remains and sediment, MGPT-PU141086. e: Eurya stigmosa (R.LUDW.) MAI, fragmentary seed, MGPT-PU141087. f: Visnea germanica MENZEL, fruit from two opposite sides, MGPT-PU141088. g: Symplocos casparyi R.LUDW., endocarp in lateral view from two opposite sides, MGPT-PU141089. Scale bar 1 mm.
Рис. 4. Распределение станций отбора проб по глубине и типу грунта (круЖком обведены станции, на которых макробентос не обнаруЖен; БО – биогенные остатки, ГМ – галька мелкаЯ, Гр – гравий, И – ил, П – песок). Fig. 4. Distribution of sampling stations by depth and type of bottom sediments (circles are around the stations where no macrobenthos was detected; БО – biogenic residues, ГМ – pebbles, Гр – gravel, И – silt, П – sand). in Species composition and distribution of bivalve mollusks in plankton and benthos in Nevelsky Strait in summer
Рис. 4. Распределение станций отбора проб по глубине и типу грунта (круЖком обведены станции, на которых макробентос не обнаруЖен; БО – биогенные остатки, ГМ – галька мелкаЯ, Гр – гравий, И – ил, П – песок). Fig. 4. Distribution of sampling stations by depth and type of bottom sediments (circles are around the stations where no macrobenthos was detected; БО – biogenic residues, ГМ – pebbles, Гр – gravel, И – silt, П – sand).
Figure 5 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 5: Partial m/z 178, 202 and 228 mass chromatograms showing the distribution of common polycyclic aromatic hydrocarbons (PAH) in the aromatic fraction.
Figure 4 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 4: Partial m/z 191 and 217 mass chromatograms used in calculation of sterane/hopane ratio. A ratio of 0.03 indicates that a very significant proportion of overall biomass in the lake was derived from bacteria.
Figure 2 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 2: An uncommon example of disarticulation of a fish carcass, collected during an excavation of the Koonwarra Fossil Beds led by Tom Rich in 2013. This specimen was collected approximately 5 m from the bottom of the unit (defined here as the first> 20 cm thick unit of green siltstone/mudstone; the underlying rocks are predominantly cross-bedded, fluviatile arkosic sandstone).
Figure 3 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 3: Saturate fraction total ion chromatogram and m/z 85 mass chromatogram showing distribution and relative abundances of n-alkanes and isoprenoids pristane and phytane.
Figure 1 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia
Figure 1: Location of the Lower Cretaceous Koonwarra Fossil Beds in South Gippsland, Victoria, Australia
A compilation of beryllium-isotope, element, and grainsize data from sediments sampled from Prydz Bay and beneath Amery Ice Shelf, East Antarctica
<p>All tables are included in a single .xlsx file across three sheets. Each sheet includes sample information data: expedition and sample location information, reference to corresponding method section in text, and a reference to the source of the method employed for different procedures, or the reference to source data. Footnotes are used where necessary to explain a component of a table.</p> <p><strong>Supplementary Table 1:</strong> All beryllium data used for Sequential, Grainsize, Partial, and Total experiments described in text. 10Be concentration and corresponding 1-sigma (10^8 at/g), 9Be concentration and corresponding 1-sigma (10^15 at/g), and the 10Be/9Be ratio and corresponding 1-sigma (10^-8 at/at).</p> <p><strong>Supplementary Table 2: </strong>Element concentrations (µg/g) from samples across open marine and sub-ice shelf environments and their resultant enrichment factors (EF). Enrichment factors calculated using in text Equation 1. Estimated crustal abundance and ratio displayed below the data table.</p> <p><strong>Supplementary Table 3: </strong> Grainsize of samples used in this study. </p> <p> </p> <p>This research was supported by the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008).</p>
Figure 4 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 4. Abundance (a), polymer characterization (b), and shape (c) of microplastics collected from sediment samples from three lakes.
Figure 2 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 2. Evaluation of the extracted microplastics (MPs) from sediments and mussels. a) Appearance of MPs under a fluorescence microscope using Nile Red fluorescent dye, b) FTIR spectrums of MPs, and c) appearance of MPs under a stereo microscope.
Figure 3 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 3. Characterization of microplastics (MPs) obtained from sediments and mussel samples. The upper panel is the shape, the middle is the polymer type, and the lower panel is the MPs' size.
Figure 1 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 1. Sampling area. Red circles represent the locations of the lakes where sediments and mussels were collected.
Estimated reflectance hyperspectral libraries for Vigo sediment sample, seafloor sand samples and marine organism
<h2>Abstract</h2> <p>Estimated reflectance hyperspectral libraries created for sand samples from seafloor at Vigo sea zone 1, 2 and 3, sediment samples from Vigo fieldwork Sept. 2023 and some Vigo marine organisms such as sea cucumber, sea pens, sea stars, coral, seaweed.</p> <p>This depository contains data generated within the European S34 project.</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Estimated reflectance hyperspectral libraries for Vigo sediment sample, seafloor sand samples and marine organism</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Estimated reflectance hyperspectral libraries created for sand samples from seafloor at Vigo sea zone 1, 2 and 3, sediment samples from Vigo fieldwork Sept. 2023 and some Vigo marine organisms such as sea cucumber, sea pens, sea stars, coral, seaweed.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Reflectance hyperspectral signature, library, sediment, sand, sea cucumber, sea star, coral, seaweed</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>25.05.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>25.05.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p>CSV</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>0.25m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>EPSG 3035</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Ecotone AS, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>Ecotone AS</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Ecotone AS, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
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