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    <title>Digital Knowledge Collection:</title>
    <link>http://hdl.handle.net/11189/3437</link>
    <description />
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        <rdf:li rdf:resource="http://hdl.handle.net/11189/6305" />
        <rdf:li rdf:resource="http://hdl.handle.net/11189/6081" />
        <rdf:li rdf:resource="http://hdl.handle.net/11189/6063" />
        <rdf:li rdf:resource="http://hdl.handle.net/11189/5829" />
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    <dc:date>2026-09-29T13:56:09Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/11189/6305">
    <title>Bacterial profiling of bacterial communities of a drinking water supply system (DWSS) in the arid Namaqualand region, South Africa: Source (lower Orange River) to point-of-use (O’kiep)</title>
    <link>http://hdl.handle.net/11189/6305</link>
    <description>Title: Bacterial profiling of bacterial communities of a drinking water supply system (DWSS) in the arid Namaqualand region, South Africa: Source (lower Orange River) to point-of-use (O’kiep)
Authors: Erdogan, Innocentia Gugulethu; Moncho, T.; Mekuto, Lukhanyo; Ntwampe, Seteno Karabo Obed; Fosso-Kankeu, E.; Waanders, F
Abstract: The data presented herein contains the bacterial community profile of a drinking water supply system (DWSS) supplying O’kiep, Namaqualand, South Africa. Representative samples from the source (Orange River) to the point of use (O’kiep), through a 150km DWSS used for drinking water distribution were analysed for bacterial content. PCR amplification of the 16S rRNA V1-V3 regions was undertaken using oligonucleotide primers 27F and 518R subsequent to DNA extraction. The PCR amplicons were processed using the illumina® reaction kits as per manufactures guidelines and sequenced using the illumina® MiSeq-2000, by means of MiSeq V3 kit. The data obtained was processed using a bioinformatics QIIME software with a compatible fast nucleic acid (fna) file. The raw sequences were deposited at the National Centre of Biotechnology (NCBI) and the Sequence Read Archive (SRA) database, obtaining accession numbers for each species identified. The data revealed the presence of pathogenic bacteria from source to the point- of -use such as, Pseudomonas sp., Bacillus sp., Mycobacterium, Cyanobacterium (blue-green algae), Actinobacterium.</description>
    <dc:date>2017-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/11189/6081">
    <title>Metagenomic data of free cyanide and thiocyanate degrading bacterial communities</title>
    <link>http://hdl.handle.net/11189/6081</link>
    <description>Title: Metagenomic data of free cyanide and thiocyanate degrading bacterial communities
Authors: Mekuto, Lukhanyo; Ntwampe, Seteno Karabo Obed; Mudumbi, John Baptist Nzukizi; Akinpelu, Enoch Akinbiyi; Mewa-Ngongang, Maxwell
Abstract: The datapresented in this article contains the bacterial community&#xD;
structure of the free cyanide(CN-) and thiocyanate(SCN-)&#xD;
degrading organisms that were isolated from electroplating was-&#xD;
tewater and synthetic SCN- containing wastewater.PCR amplification&#xD;
of the 16S rRNA V1-V3 regions was undertaken using the&#xD;
27F and 518R oligonucleotide primers following the meta-&#xD;
community DNA extraction procedure.The PCR amplicons were&#xD;
processed using the illumina reaction kits as per manufacturer's&#xD;
instruction and sequenced using the illumina MiSeq-2000, using&#xD;
the MiSeq V3kit.The data was processed using bioinformatics&#xD;
tools such as QIIME and the raw sequence files areavailable via&#xD;
NCBI's Sequence Read Archive(SRA) database.</description>
    <dc:date>2017-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/11189/6063">
    <title>Thermodynamic data of fusarium oxysporum grown on different substrates in gold mine wastewater</title>
    <link>http://hdl.handle.net/11189/6063</link>
    <description>Title: Thermodynamic data of fusarium oxysporum grown on different substrates in gold mine wastewater
Authors: Akinpelu, Enoch Akinbiyi; Ntwampe, Seteno Karabo Obed; Mekuto, Lukhanyo; Ojumu, Tunde Victor
Abstract: The necessity for sustainable process development has led to an upsurge in bio‐based&#xD;
processes, thereby placing a higher demand on the use of suitable microorganisms. Similarly, thermodynamics is a veritable tool that can predict the behavior of any material under well‐defined conditions. Thermodynamic data of Fusarium oxysporum used in the bioremediation of gold mine wastewater, for a process supported with different carbon sources, was investigated. The data were obtained using a Discovery DSC® (TA Instruments, Inc. New Castle, DE, USA) equipped with modulated Differential Scanning Calorimeter (MDSCTM) software. The data revealed minimal differences in the physical properties of the F. oxysporum used, indicating that the utilisation of agro‐waste for microbial proliferation in wastewater treatment is as feasible as when refined carbon&#xD;
sources are used. The data will be helpful for the development of environmentally benign process development strategies, especially for environmental engineering applications.</description>
    <dc:date>2017-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/11189/5829">
    <title>Metagenomic data of free cyanide and thiocyanate degrading bacterial communities</title>
    <link>http://hdl.handle.net/11189/5829</link>
    <description>Title: Metagenomic data of free cyanide and thiocyanate degrading bacterial communities
Authors: Mekuto, Lukhanyo; Ntwampe, Seteno Karabo Obed; Mudumbi, John Baptist Nzukizi; Akinpelu, Enoch Akinbiyi; Mewa-Ngongang, Maxwell
Abstract: The data presented in this article contains the bacterial community structure of the free cyanide (CN-) and thiocyanate (SCN-) degrading organisms that were isolated from electroplating wastewater and synthetic thiocyanate containing wastewater. PCR amplification of the 16S rRNA V1-V3 regions was undertaken using the 27F and 518R oligonucleotide primers following the metacommunity DNA extraction procedure. The PCR amplicons were processed using the illumina® reaction kits as per manufacturer's instruction and sequenced using the illumina® MiSeq-2000, using the MiSeq V3 kit. The data was processed using bioinformatics tools such as QIIME and the raw sequence files are available via NCBI's Sequence Read Archive (SRA) database</description>
    <dc:date>2017-01-01T00:00:00Z</dc:date>
  </item>
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