Automated Author Profile

Chamberlain, Samuel

Current S-Index

5.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

11

Total datasets for this author

Average FAIR Score

72.4%

Average FAIR Score per dataset

Total Citations

1

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

Structural studies of proteins and protein complexes involved in regulation, recognition and transport

We are a large BAG of research groups with varied interests and technical requirements, from routine rapid collection of diffraction data from well behaved systems for ligand studies to challenging microcrystals grown using cubic phase methods. Our BAG is focussed around a large group of experimenters who work on a diverse range of biological and physical problems. Whilst this makes it difficult to write an overall summary of the science it makes it easy to share the beamtime very efficiently and ensure that all time granted is used to the fullest extent.

Authors

  • LOWE, Edward ;
  • CHAMBERLAIN, Samuel
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.15151/esrf-es-6440863792025

Structural studies of proteins and protein complexes involved in regulation, recognition and transport

Our BAG is focussed around a large group of experimenters who work on a diverse range of biological and physical problems. Whilst this makes it difficult to write an overall summary of the science it makes it easy to share the beamtime very efficiently and ensure that all time granted is used to the fullest extent. The interests of the groups involved in the BAG include repair of DNA damage, chromatin assembly and organisation, metallo-protein chemistry, membrane transporter proteins, novel protein antibiotics, cell adhesion and the study of parisitic diseases with a view to vaccine development.

Authors

  • LOWE, Edward ;
  • CHAMBERLAIN, Samuel
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.15151/esrf-es-8855299272025

Data supporting ROOTS publication "Behavioral measures of impulsivity and compulsivity in adolescents with non-suicidal self-injury"

No description available

Authors

  • Lutz, Nina ;
  • Chamberlain, Samuel ;
  • Goodyer, Ian ;
  • Bhardwaj, Anupam ;
  • Sahakian, Barbara ;
  • Jones, Peter ;
  • Wilkinson, Paul
1 Citation0 Mentions92% FAIR0.8 Dataset Index
10.17863/cam.657232021

Experimental pasture stage data.csv

Water retention data for 5-year experimental pasture study where water control structures were installed on 4 pastures (SP1-4), and no structures were installed on adjacent pastures (SP5-8). Riser and no_riser columns are means of each treatment.

Authors

  • Chamberlain, Samuel
0 Citations0 Mentions85% FAIR0.6 Dataset Index
10.6084/m9.figshare.3569412.v12017

Daily Integrated Eddy Data

Daily sums for NEE, CH4 and mean data from meteorological variables. Also, included are flux rates converted to mass units and cumulative fluxes used to create annual greenhouse gas budgets.

Authors

  • Chamberlain, Samuel
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.45796902017

Experimental pasture stage data.csv

Water retention data for 5-year experimental pasture study where water control structures were installed on 4 pastures (SP1-4), and no structures were installed on adjacent pastures (SP5-8). Riser and no_riser columns are means of each treatment.

Authors

  • Chamberlain, Samuel
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.35694122017

Gomez-Casanovas et al_EAP16-0667

Description: Environmental (air temperature and precipitation) and soil variables (soil temperature and moisture) along with CO2 and CH4 fluxes for both grazed and ungrazed pastures.
 Environmental variables: Air temperature and precipitation values provided are daily averages. 
 Soil variables: Soil temperature and moisture values provided are daily averages measured at 10 and 15-cm depth, respectively. 
 CO2 and CH4 fluxes provided are half-hour gap filled values. Fluxes of CO2 were gap filled using the Eddy covariance gap-filling and flux partitioning online tool (http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/index.php), and the fluxes of CH4 were gap filled replacing missing values by the mean of specific half-hour of four adjacent days. Details of post-processing and gap filling methods are provided in Material and Methods. 

Authors

  • Gomez-Casanovas, Nuria ;
  • DeLucia, Nicholas ;
  • Bernacchi, Carl J ;
  • Boughton, Elizabeth ;
  • Sparks, Jed ;
  • Chamberlain, Samuel ;
  • DeLucia, Evan H
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.56912592017

Gomez-Casanovas et al_EAP16-0667

Description: Environmental (air temperature and precipitation) and soil variables (soil temperature and moisture) along with CO2 and CH4 fluxes for both grazed and ungrazed pastures.
 Environmental variables: Air temperature and precipitation values provided are daily averages. 
 Soil variables: Soil temperature and moisture values provided are daily averages measured at 10 and 15-cm depth, respectively. 
 CO2 and CH4 fluxes provided are half-hour gap filled values. Fluxes of CO2 were gap filled using the Eddy covariance gap-filling and flux partitioning online tool (http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/index.php), and the fluxes of CH4 were gap filled replacing missing values by the mean of specific half-hour of four adjacent days. Details of post-processing and gap filling methods are provided in Material and Methods. 

Authors

  • Gomez-Casanovas, Nuria ;
  • DeLucia, Nicholas ;
  • Bernacchi, Carl J ;
  • Boughton, Elizabeth ;
  • Sparks, Jed ;
  • Chamberlain, Samuel ;
  • DeLucia, Evan H
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.5691259.v12017

Daily Integrated Eddy Data

Daily sums for NEE, CH4 and mean data from meteorological variables. Also, included are flux rates converted to mass units and cumulative fluxes used to create annual greenhouse gas budgets.

Authors

  • Chamberlain, Samuel
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.4579690.v12017

Raw Eddy Covariance Data

Half-hourly eddy covariance data from subtropical pastures in south Florida, including CO2 fluxes, CH4 fluxes, gap-filled data, and meteorological data. This raw data was used to compute daily sums and annual budgets.

Authors

  • Chamberlain, Samuel
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.35694152017