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151 to 160 of 234 Results

F75_Admission_Metabolomics.tab Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Tabular Data - 380.2 KB - 208 Variables, 470 Observations - UNF:6:X9v5HxKG+oMopCoZ4PHiqQ== CSVData This file contains raw concentrations of metabolites quantified and information related to assay quality (i.e. quality controls, limit of detection).The file was generated using R programming (version 3.6.0, R Core Team, Auckland, New Zealand)
F75_case-control_key.tab Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Tabular Data - 4.9 KB - 3 Variables, 360 Observations - UNF:6:77c9phvEmrCjSpUO6UQ1Ng== CSVData This file contains keys for the case-control matched pairs of the study and their survival outcomes.
F75_Metabolomics_Preprocess.R Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition R Syntax - 3.5 KB - MD5: 5e5bbb2dd68c509a8ee66db27de8dc6f CodeR Script This data preprocessing script was used to generate the "F75_Admission_Metabolomics.csv" file from raw assay output. Raw values below the limit of detection for each metabolite were flagged and replaced by "< LOD". Raw values above the limit of detection remained unchanged
Wen_et_al_2021_F75_Metabolomics_codebook.pdf Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Adobe PDF - 95.5 KB - MD5: ecfc34d93bf163bbc1d3cf47f28df37b DocumentationVariable Codebook/Data Dictionary This data dictionary contains a list of variables in the datafile and their descriptions
Wen_et_al_2021_F75_Metabolomics_Readme.txt Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Plain Text - 7.7 KB - MD5: e49b3be3bcf9a99f310def652f8a137e DocumentationReadme
CHAIN Network Dataverse(KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) Jan 28, 2021 The Childhood Acute Illness and Nutrition Network (CHAIN) is a global research network focused on optimizing the management and care of highly vulnerable children in resource-limited settings to improve survival, growth and development. The CHAIN Network aims to identify the biological mechanisms and the socio-economic factors that determine a chil...
CHAIN_Data_Domains.tab Jan 28, 2021 - Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia Tabular Data - 1.0 KB - 6 Variables, 11 Observations - UNF:6:6hItf/nkz0vCQ+cljRC6fw== Documentation Contains a summarized dictionary of variables used in this repository arranged by a domain theme
CHAIN_DATA_v9_Readme.txt Jan 28, 2021 - Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia Plain Text - 6.1 KB - MD5: 15861bd12607eb77c6e3d8f5f5147558 Documentation Readme file
CHAIN-main-wide-codebook.xlsx Jan 28, 2021 - Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia MS Excel Spreadsheet - 106.4 KB - MD5: 3cc39b84d20928d2bcd59280e1afe13d Documentation The main CHAIN study data dictionary
CHAIN_version9_datasets.pdf Jan 28, 2021 - Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia Adobe PDF - 257.0 KB - MD5: 121c8b6cc15427c783ce6f37ccb1c238 Documentation Instructions for reproducing this repository from raw data

F75_Admission_Metabolomics.tab

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Tabular Data - 380.2 KB - 208 Variables, 470 Observations -

CSVData

This file contains raw concentrations of metabolites quantified and information related to assay quality (i.e. quality controls, limit of detection).The file was generated using R programming (version 3.6.0, R Core Team, Auckland, New Zealand)

F75_case-control_key.tab

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Tabular Data - 4.9 KB - 3 Variables, 360 Observations -

CSVData

This file contains keys for the case-control matched pairs of the study and their survival outcomes.

F75_Metabolomics_Preprocess.R

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

R Syntax - 3.5 KB -

CodeR Script

This data preprocessing script was used to generate the "F75_Admission_Metabolomics.csv" file from raw assay output. Raw values below the limit of detection for each metabolite were flagged and replaced by "< LOD". Raw values above the limit of detection remained unchanged

Wen_et_al_2021_F75_Metabolomics_codebook.pdf

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Adobe PDF - 95.5 KB -

DocumentationVariable Codebook/Data Dictionary

This data dictionary contains a list of variables in the datafile and their descriptions

Wen_et_al_2021_F75_Metabolomics_Readme.txt

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Plain Text - 7.7 KB -

DocumentationReadme

CHAIN Network Dataverse(KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Jan 28, 2021

The Childhood Acute Illness and Nutrition Network (CHAIN) is a global research network focused on optimizing the management and care of highly vulnerable children in resource-limited settings to improve survival, growth and development. The CHAIN Network aims to identify the biological mechanisms and the socio-economic factors that determine a chil...

CHAIN_Data_Domains.tab

Jan 28, 2021 - Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia

Tabular Data - 1.0 KB - 6 Variables, 11 Observations -

Documentation

Contains a summarized dictionary of variables used in this repository arranged by a domain theme

CHAIN_DATA_v9_Readme.txt

Plain Text - 6.1 KB -

Documentation

Readme file

CHAIN-main-wide-codebook.xlsx

MS Excel Spreadsheet - 106.4 KB -

Documentation

The main CHAIN study data dictionary

CHAIN_version9_datasets.pdf

Adobe PDF - 257.0 KB -

Documentation

Instructions for reproducing this repository from raw data

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