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 | Size | Format | |
---|---|---|---|---|
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 | 55.2 kB | Microsoft Excel | View/Open |
LabExperimentLOIData.csv | Percentage organic matter in sediment measured using the loss on ignition (LOI) method | 714 B | Microsoft Excel | View/Open |
LabExperimentPSData.csv | Sediment particle size data measured using a Coulter LS 230 laser granulometer and classified according to the Udden-Wentworth scale | 1.1 kB | Microsoft Excel | View/Open |
MetadataForLabExperimentCdData.csv | information to explain the data categories in LabExperimentCdData.csv | 845 B | Microsoft Excel | View/Open |
MetadataForLabExperimentLOIData.csv | information to explain the data categories in LabExperimentLOIData.csv | 247 B | Microsoft Excel | View/Open |
MetadataForLabExperimentPSData.csv | information to explain the data categories in LabExperimentPSData.csv | 317 B | Microsoft Excel | View/Open |
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