Automated Author Profile

Meiklejohn, Kelly A

Current S-Index

15.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

26

Total datasets for this author

Average FAIR Score

79.3%

Average FAIR Score per dataset

Total Citations

9

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Sample information for 180 surface soils (top 0-5 cm) collected from across North Carolina (USA) for 15PNIJ-21-GG-02711-SLFO.

In this National Institute of Justice funded grant, two types of surface soils representing scenarios that would potentially benefit the most from new quantitative methods were collected from across the state of North Carolina (USA) in April 2022: a) similar inorganic content but with distinct land use (category type = mineral rich), and b) those with limited inorganic content but recognizable organic fractions (category type = organic rich). At each location (n, 30), samples were collected from paired sites <500 meters apart (A and B). At each paired site, three sub-site samples were collected 1 meter apart to assess method reproducibility, accuracy and small-scale variation that might be realistically observed in questioned-to-known (Q-to-K) comparisons (total n, ~180). Each sample was subjected to examination using methods currently used in practice (e.g., manual color determination, polarized light microscopy, x-ray diffraction), along with three new quantitative methods: 1) instrumental colorimetry, 2) automated scanning electron microscopy energy dispersive X-ray spectroscopy of soil minerals, and 3) DNA metabarcoding of plant, bacteria, arthropods and fungi.

Authors

  • Meiklejohn, Kelly A
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.287785072025

Consensus mitochondrial genome (mtGenome) sequences of authenticated samples.

Files associated with the publication "Evaluating Non-Destructive Sampling Methods of Parchment for Genomic Sequencing" by Diaz et al. 2025.FASTA file (Authenticated mt genome sequences.fa) - Consensus mitochondrial genome (mtGenome) sequences of authenticated samples. Only samples with consensus sequences with >10 X coverage are included.EXCEL file (Sample Metadata.xlsx) - metadata on the sample ID, parchment ID, non-destructive sampling method along with whether it is included in the FASTA file.

Authors

  • Diaz, Lindsey ;
  • Scheible, Melissa KR ;
  • Stinson, Timothy L. ;
  • Livingston, Isabella ;
  • Breen, Matthew ;
  • Meiklejohn, Kelly A
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.29120510.v12025

Consensus mitochondrial genome (mtGenome) sequences of authenticated samples.

Files associated with the publication "Evaluating Non-Destructive Sampling Methods of Parchment for Genomic Sequencing" by Diaz et al. 2025.FASTA file (Authenticated mt genome sequences.fa) - Consensus mitochondrial genome (mtGenome) sequences of authenticated samples. Only samples with consensus sequences with >10 X coverage are included.EXCEL file (Sample Metadata.xlsx) - metadata on the sample ID, parchment ID, non-destructive sampling method along with whether it is included in the FASTA file.

Authors

  • Diaz, Lindsey ;
  • Scheible, Melissa KR ;
  • Stinson, Timothy L. ;
  • Livingston, Isabella ;
  • Breen, Matthew ;
  • Meiklejohn, Kelly A
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.291205102025

Sample information for 180 surface soils (top 0-5 cm) collected from across North Carolina (USA) for 15PNIJ-21-GG-02711-SLFO.

In this National Institute of Justice funded grant, two types of surface soils representing scenarios that would potentially benefit the most from new quantitative methods were collected from across the state of North Carolina (USA) in April 2022: a) similar inorganic content but with distinct land use (category type = mineral rich), and b) those with limited inorganic content but recognizable organic fractions (category type = organic rich). At each location (n, 30), samples were collected from paired sites <500 meters apart (A and B). At each paired site, three sub-site samples were collected 1 meter apart to assess method reproducibility, accuracy and small-scale variation that might be realistically observed in questioned-to-known (Q-to-K) comparisons (total n, ~180). Each sample was subjected to examination using methods currently used in practice (e.g., manual color determination, polarized light microscopy, x-ray diffraction), along with three new quantitative methods: 1) instrumental colorimetry, 2) automated scanning electron microscopy energy dispersive X-ray spectroscopy of soil minerals, and 3) DNA metabarcoding of plant, bacteria, arthropods and fungi.

Authors

  • Meiklejohn, Kelly A
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.28778507.v12025

ITS2 amplicon sequence variants included in final dataset

Table providing a list of the ITS2 amplicon sequence variants (ASVs) included in final dataset (n, 1574) and the number of reads recovered for each in each sample. Sample name abbreviations are as follows: PA, Pennsylvannia; CO, Colorado; NC, North Carolina; PS, PowerSoil Kit; PSP, PowerSoil Pro Kit; 65, 65oC incubation; 90, 90oC incubation; US, unspiked; NS, normal spiked; PNS, partial spiked; RB, reagent blank.

Authors

  • Moore, Madison A ;
  • Scheible, Melissa KR ;
  • Robertson, James B ;
  • Meiklejohn, Kelly A
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.203771462022

ITS2 amplicon sequence variants included in final dataset

Table providing a list of the ITS2 amplicon sequence variants (ASVs) included in final dataset (n, 1574) and the number of reads recovered for each in each sample. Sample name abbreviations are as follows: PA, Pennsylvannia; CO, Colorado; NC, North Carolina; PS, PowerSoil Kit; PSP, PowerSoil Pro Kit; 65, 65oC incubation; 90, 90oC incubation; US, unspiked; NS, normal spiked; PNS, partial spiked; RB, reagent blank.
The publication associated with this data is: Moore MA, Scheible MKR, Robertson JB and Meiklejohn KA (2022). Assessing the lysis of diverse pollen from bulk environmental samples for DNA metabarcoding. Metabarcoding and Metagenomics.

Authors

  • Moore, Madison A ;
  • Scheible, Melissa KR ;
  • Robertson, James B ;
  • Meiklejohn, Kelly A
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.20377146.v12022

S4 Table: Specimen information and barcode results for plants.

Specimen information and barcode results for plant sequences when searched against GenBank and BOLD.

Authors

  • Meiklejohn, Kelly A ;
  • Damaso, Natalie ;
  • Robertson, James M
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.8182703.v12020

S3 Table. Specimen information and barcode results for macro-fungi.

Specimen information and barcode results for macro-fungi ITS sequences when searched against GenBank and BOLD.

Authors

  • Meiklejohn, Kelly A ;
  • Damaso, Natalie
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.8182700.v12020

S2 Table: Specimen information and barcode results for insects

Specimen information and barcode results for insect COI sequences when searched against GenBank and BOLD.

Authors

  • Meiklejohn, Kelly A ;
  • Damaso, Natalie ;
  • Robertson, James M
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.8182631.v12020

S1 Table. Primers and thermal cycling conditions used to amplify each barcoding region for insects, macro-fungi, and plants.

Primers and thermal cycling conditions used to amplify each barcoding region for insects, macro-fungi, and plants.

Authors

  • Meiklejohn, Kelly A ;
  • Damaso, Natalie ;
  • Robertson, James M
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.81711472020