STOREDB:STUDY1123 Predicted Caesium-137 deposition from atmospheric nuclear weapons tests [DOI:10.20348/STOREDB/1123]

Study meta-data


STUDYIDSTOREDB:STUDY1123
CREATEDON2018-11-19 15:39:37
MODIFIEDON2018-11-19 15:39:37
UPLOADERJacky Chaplow
DOIDOI:10.20348/STOREDB/1123

Study details


STUDY NAME
Predicted Caesium-137 deposition from atmospheric nuclear weapons tests
STUDY STATUS
Published: Open access to everyone
DATA SHARING POLICY
CC-Attribution
COUNTRY
Ukraine
PRINCIPAL INVESTIGATOR
Simon Wright
SIZE OF COHORT
0-999
RADIONUCLIDE
caesium
BIOLOGICAL SAMPLE AVAILABLE
No
STUDY DESCRIPTION
Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic Energy Authority extrapolated across Great Britain using a 5 by 5 km resolution UKCIP precipitation dataset. The prediction is for 31 December 1985.
Citation: Wright, S.M. (2016). Predicted Caesium-137 deposition from atmospheric nuclear weapons tests. NERC Environmental Information Data Centre. https://doi.org/10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08

STOREDB:DATASET1189 Predicted Caesium-137 deposition from atmospheric nuclear weapons tests [DOI:10.20348/STOREDB/1123/1189]


Created on:2018-11-19 15:46:43 Modified On:2018-11-19 15:46:43
DATASET NAME
Predicted Caesium-137 deposition from atmospheric nuclear weapons tests
DOIDOI:10.20348/STOREDB/1123/1189
LINK TO FILE
https://doi.org/10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08
DATASET DESCRIPTION
Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic Energy Authority extrapolated across Great Britain using a 5 by 5 km resolution UKCIP precipitation dataset. The prediction is for 31 December 1985.
Citation: Wright, S.M. (2016). Predicted Caesium-137 deposition from atmospheric nuclear weapons tests. NERC Environmental Information Data Centre. https://doi.org/10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08. Radioecology