Automated Author ProfileBodawatta, Kasun
University of Copenhagen0000-0002-6095-9059
Bodawatta, Kasun
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: 27.9 (sum of 39 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
These folders include multiplexed sequence files for BirT primers (Birds), 16Smam primers (Mammals), Trac01 primers (Vascular plants) and fwh primers (arthropods) for samples collected in Lille Vildmose, Denmark and sequence files for BirT primers (Birds), and 16Smam primers for samples collected at Lamto Ecological Research Station in Ivory Coast. For each sample (and the blank and positive samples) in each primer set we have conducted four PCR replicates, where PCR products were barcoded during the first PCR. We used 7bp barcodes (tags) in 5’ of forward and reverse primers to barcode the samples (Bohmann et al. 2022) and barcode combinations are not repeated within each set of PCR replicates. This allows us to pool the samples after the first PCR and build libraries on the purified amplicon pool. Each amplicon pool was used to build dual-indexed Illumina libraries using the PCR-free TagSteady protocol (Carøe and Bohmann 2020). Libraries from Danish samples were sequenced on an Illumina MiSeq instrument (paired-end 150bp (V3)), while libraries from Ivory Coast were sequenced on an Illumina NovaSeq 6000 SP lane (XP, v1.5, 250 bp paired-end) at the GeoGenetics Sequencing Core, University of Copenhagen, Denmark. Sequence files given here are for each amplicon pool and “Tag.txt” file can be used to demultiplex the samples.
Authors
- Bodawatta, Kasun
These folders include multiplexed sequence files for BirT primers (Birds), 16Smam primers (Mammals), Trac01 primers (Vascular plants) and fwh primers (arthropods) for samples collected in Lille Vildmose, Denmark and sequence files for BirT primers (Birds), and 16Smam primers for samples collected at Lamto Ecological Research Station in Ivory Coast. For each sample (and the blank and positive samples) in each primer set we have conducted four PCR replicates, where PCR products were barcoded during the first PCR. We used 7bp barcodes (tags) in 5’ of forward and reverse primers to barcode the samples (Bohmann et al. 2022) and barcode combinations are not repeated within each set of PCR replicates. This allows us to pool the samples after the first PCR and build libraries on the purified amplicon pool. Each amplicon pool was used to build dual-indexed Illumina libraries using the PCR-free TagSteady protocol (Carøe and Bohmann 2020). Libraries from Danish samples were sequenced on an Illumina MiSeq instrument (paired-end 150bp (V3)), while libraries from Ivory Coast were sequenced on an Illumina NovaSeq 6000 SP lane (XP, v1.5, 250 bp paired-end) at the GeoGenetics Sequencing Core, University of Copenhagen, Denmark. Sequence files given here are for each amplicon pool and “Tag.txt” file can be used to demultiplex the samples.
Authors
- Bodawatta, Kasun
These data files contains the multiplexed sequence files and bioinformatic pipelines used in “Advanced airborne eDNA sampling allows robust spatiotemporal characterisation of vertebrate communities”. Brief methodsThis study include sequences related to 3 different experiments. In each experiment, for each sample (and the blank and positive samples) we have conducted six PCR replicates, where PCR products were barcoded during the first PCR. We used 7bp barcodes (tags) in 5’ of forward and reverse primers to barcode the samples (Bohmann et al. 2022) and barcode combinations are not repeated within each set of PCR replicates. This allows us to pool the samples after the first PCR and build libraries on the purified amplicon pool. Each amplicon pool was used to build dual-indexed Illumina libraries using the PCR-free TagSteady protocol (Carøe and Bohmann 2020). Libraries were sequenced on an Illumina MiSeq instrument (paired-end 150bp (V3)) at the GeoGenetics Sequencing Core, University of Copenhagen, Denmark. Sequence files given here are for each amplicon pool and “Tag.txt” file can be used to demultiplex the samples.
Authors
- Bodawatta, Kasun ;
- Bohmann, Kristine
These data files contains the multiplexed sequence files and bioinformatic pipelines used in “Advanced airborne eDNA sampling allows robust spatiotemporal characterisation of vertebrate communities”. Brief methodsThis study include sequences related to 3 different experiments. In each experiment, for each sample (and the blank and positive samples) we have conducted six PCR replicates, where PCR products were barcoded during the first PCR. We used 7bp barcodes (tags) in 5’ of forward and reverse primers to barcode the samples (Bohmann et al. 2022) and barcode combinations are not repeated within each set of PCR replicates. This allows us to pool the samples after the first PCR and build libraries on the purified amplicon pool. Each amplicon pool was used to build dual-indexed Illumina libraries using the PCR-free TagSteady protocol (Carøe and Bohmann 2020). Libraries were sequenced on an Illumina MiSeq instrument (paired-end 150bp (V3)) at the GeoGenetics Sequencing Core, University of Copenhagen, Denmark. Sequence files given here are for each amplicon pool and “Tag.txt” file can be used to demultiplex the samples.
Authors
- Bodawatta, Kasun ;
- Bohmann, Kristine
[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]
Authors
- Bodawatta, Kasun
This document includes the raw datafiles, host and parasite phylogenies and r-code use to conduct analyses for "Co-phylogeny, narrow host breadth and local conditions drive highly specialized bird-haemosporidian associations in West-Central African sky islands". Please see the readme file to get more detailed information about each file.
Authors
- Bodawatta, Kasun H.
This document includes the raw datafiles, host and parasite phylogenies and r-code use to conduct analyses for "Co-phylogeny, narrow host breadth and local conditions drive highly specialized bird-haemosporidian associations in West-Central African sky islands". Please see the readme file to get more detailed information about each file.
Authors
- Bodawatta, Kasun H.
This zip folder contains data folders and r scripts used to analyse fungal and bacterial communities associated with Trinervitermes trinervoides termite colonies in South Africa. Within the folder there is a reedme word document providing the information on each file.
Authors
- Bodawatta, Kasun
This zip folder contains data folders and r scripts used to analyse fungal and bacterial communities associated with Trinervitermes trinervoides termite colonies in South Africa. Within the folder there is a reedme word document providing the information on each file.
Authors
- Bodawatta, Kasun
This zip folder contains data folders and r scripts used to analyse fungal and bacterial communities associated with Trinervitermes trinervoides termite colonies in South Africa. Within the folder there is a reedme word document providing the information on each file.
Authors
- Bodawatta, Kasun