Automated Author ProfileChariton, Anthony
CSIRO
Chariton, Anthony
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.5 (sum of 10 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
18S rDNA, 16S rDNA, and diatom 18S v4 rDNA amplicons from sediment DNA collected from Vavouto Bay New Caledonia.
Authors
- Gillmore, Megan ;
- Golding, Lisa ;
- Chariton, Anthony ;
- Stauber, Jenny ;
- Stephenson, Sarah ;
- Gissi, Francesca ;
- Greenfield, Paul ;
- Juillot, Farid ;
- Jolley, Dianne
The data describes the microbiome community of the coral Acropora mucricata following exposure to nickel and copper (separately) for 4 days under controlled laboratory conditions
Authors
- Gissi, Francesca ;
- Reichelt-Brushett, Amanda ;
- Chariton, Anthony ;
- Stauber, Jenny ;
- Greenfield, Paul ;
- Humphrey, Craig ;
- Salmon, Mat ;
- Stephenson, Sarah ;
- Creswell, Tom ;
- Jolley, Dianne
The data describes the microbiome community of the coral Acropora mucricata following exposure to nickel and copper (separately) for 4 days under controlled laboratory conditions
Authors
- Gissi, Francesca ;
- Reichelt-Brushett, Amanda ;
- Chariton, Anthony ;
- Stauber, Jenny ;
- Greenfield, Paul ;
- Humphrey, Craig ;
- Salmon, Mat ;
- Stephenson, Sarah ;
- Creswell, Tom ;
- Jolley, Dianne
The data describes the microbiome community of the coral Acropora muricata following exposure to dissolved nickel, nickel contaminanted sediments and sediments alone for 7 days under controlled laboratory conditions
Authors
- Gissi, Francesca ;
- Reichelt-Brushett, Amanda ;
- Stauber, Jenny ;
- Gillmore, Megan ;
- Chariton, Anthony ;
- Golding, Lisa ;
- Greenfield, Paul ;
- Humphrey, Craig ;
- Severati, Andrea ;
- Jolley, Dianne
Outdoor freshwater mesocosms spiked with varying concentrations of copper were sampled in order to profile microbial communities. Samples collected include water, sediment and cellulose baits. DNA was extracted from all sample types. In addition to this, RNA was extracted from sediment samples and reverse transcribed to get cDNA. The v4 region of the 16S ribosomal RNA gene was amplified using Earth Microbiome primers 515F and 806R.The 16S rRNA gene amplicons were sequenced on the Illumina MiSeq platform with 250 base pair-end reads. Forward and reverse read alignments, quality filtering, chimera checking and OTU clustering were performed using USEARCH v9.OTU sequences were submitted to GenBank, however, 130 were found to be too novel for submission and thus are made available here.
Authors
- Sutcliffe, Brodie ;
- Midgley, David ;
- Hose, Grant ;
- Greenfield, Paul ;
- Hassan, Karl ;
- Harford, Andrew ;
- Paulsen, Ian ;
- Chariton, Anthony
Metabaroding data (16S/18S) examining the composition of communities sampled from bore access wells and the aquifer.
Authors
- Chariton, Anthony ;
- Korbel, Kathryn ;
- Hose, Grant
16S rRNA gene amplification and sequencing were performed to assess the effects of uranium on sediment microbial communities. A total of 12 treatments along a uranium concentration gradient of 0 - 4,000 mg/kg were interrogated, with four replicates per treatment. Data here include: raw MiSeq sequences (paired-end 250 base reads) as well as a mapping file for demultiplexing and a fasta file containing sequences of OTUs not deposited at DDBJ/ENA/GenBank (due to poor sequence similarity with existing entries).
Authors
- Sutcliffe, Brodie ;
- Chariton, Anthony ;
- Harford, Andrew ;
- Midgley, David ;
- Hose, Grant ;
- Greenfield, Paul ;
- Oytam, Yalchin ;
- Stephenson, Sarah ;
- Paulsen, Ian
The data encompasses a benthic survey of the East and South Alligator Rivers, Kakadu National Park. Each estuary was survey on two occasions (wet and dry), encompassing eight sites from the mouth to the road crossings.
Authors
- Chariton, Anthony ;
- Stephenson, Sarah ;
- Gibb, Karen ;
- Streten, Claire
125 samples of benthic eukaryotic communities from SE Queensland. Samples were collected from the Noosa, Maroochydore, Pine, Logan and Currumbin estuaries in February 2010. Five sites per estuary, with 5 samples per site. 18S rRNA using the following primers:All18SF-TGGTGCATGGCCGTTCTTAGT and All18SR-CATCTAAGGGCATCACAGACC
Authors
- Chariton, Anthony
eDNA metabarcoding was performed to assess the effects of copper on the establishment of the benthic eukaryote community within a series of environmentally relevant copper contaminated freshwater mesocosms. The data is obtained from a recolonization experiment contained five treatments : control (C) and four sediment copper concentrations (very low (VL), low (L), high (H) and very high (VH)), each with four replicates. The data represents samples obtained on seven occasions subsequent to the experiment being established: 15, 31, 135, 161, 365, 407 and 497 days. Details on the experimental design are available in: Gardham, S., G. C. Hose, S. L. Simpson, C. Jarolimek, and A. A. Chariton. 2014. Long-term copper partitioning of metal-spiked sediments used in outdoor mesocosms. Environmental Science and Pollution Research 21:7130-7139.
Authors
- Chariton, Anthony