Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/110
Appears in Collections:University of Stirling Research Data
Title: Cadmium partitioning in the presence of the diatom Cylindrotheca closterium
Creator(s): Becker, Amani E
Contact Email: amanibee@yahoo.com
Keywords: Diatoms
Cylindrotheca closterium
intertidal sediment
cadmium
Microphytobenthos
ARCoES
Citation: Becker, AE (2018): Cadmium partitioning in the presence of the diatom Cylindrotheca closterium. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/110
Publisher: Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling
Dataset Description (Abstract): A laboratory study was carried out in the first quarter of 2015 using a single diatom species Cylindrotheca closterium ((Ehrenberg) Lewin & Reimann (1964)) purchased from CCAP (Culture Collection of Algae and Protozoa) and cadmium (Cd) spiked sediment (collected from Loch Fleet, Scotland, 57o56’N, 4o2’W) and growth media (f2+Si) was repeated three times for replication purposes in the CEF at University of Stirling. The experiment was run for 96 hours (following U.S. Environmental Protection Agency guidelines for toxicity tests) illuminated on a 12/12-hour light/dark cycle at an irradiance of 60µmol photos m-2s-1 at 15oC. Samples were taken at three, 24 and 96 hours. It was found that uptake of Cd varied with sediment properties revealing the importance of sediment particle size and organic matter content on metal bio-availability to diatoms. Additionally the presence of diatoms altered the partitioning of Cd between the sediment, overlying water and pore water.
Dataset Description (TOC): There are six .csv files, three files containing data and three accompanying files containing information to explain the data categories. The files are as follows; • LabExperimentCdData.csv Cadmium concentration (mg kg-1) data, analysed by XSERIES 2 ICP-MS (Thermo Scientific, Germany) for sediment, overlying water, pore water and diatom compartments of each experimental unit and supporting information • MetadataForLabExperimentCdData.csv • LabExperimentLOIData.csv Percentage organic matter in sediment measured using the loss on ignition (LOI) method • MetadataForLabExperimentLOIData.csv • LabExperimentPSData.csv Sediment particle size data measured using a Coulter LS 230 laser granulometer and classified according to the Udden-Wentworth scale • MetadataForLabExperimentPSData.csv
Type: dataset
Contract/Grant Title: ARCoES: Adaptation and Resilience of Coastal Energy Supply
Funder(s): EPSRC - Engineering and Physical Sciences Research Council
University of Stirling
Contract/Grant Number: EP/I035390/1
RMS ID: 533
URI: http://hdl.handle.net/11667/110
Rights: Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/
Affiliation(s) of Dataset Creator(s): University of Stirling (Biological and Environmental Sciences)

Files in This Item:
File Description SizeFormat 
LabExperimentCdData.csvCadmium concentration (mg kg-1) data, analysed by XSERIES 2 ICP-MS (Thermo Scientific, Germany) for sediment, overlying water, pore water and diatom compartments of each experimental unit and supporting information55.2 kBMicrosoft ExcelView/Open
LabExperimentLOIData.csvPercentage organic matter in sediment measured using the loss on ignition (LOI) method714 BMicrosoft ExcelView/Open
LabExperimentPSData.csvSediment particle size data measured using a Coulter LS 230 laser granulometer and classified according to the Udden-Wentworth scale1.1 kBMicrosoft ExcelView/Open
MetadataForLabExperimentCdData.csvinformation to explain the data categories in LabExperimentCdData.csv845 BMicrosoft ExcelView/Open
MetadataForLabExperimentLOIData.csvinformation to explain the data categories in LabExperimentLOIData.csv247 BMicrosoft ExcelView/Open
MetadataForLabExperimentPSData.csvinformation to explain the data categories in LabExperimentPSData.csv317 BMicrosoft ExcelView/Open


This item is protected by original copyright



Items in DataSTORRE are protected by copyright, with all rights reserved, unless otherwise indicated.