This study utilizes water quality data from Cork Harbour, Moy Killala, and 15 other coastal locations in Ireland. The Environmental Protection Agency (EPA) of Ireland manages and evaluates this dataset as part of their monitoring program. The extracted data comprises 445,125 entries from Cork Harbour, 722,532 entries from Moy Killala, and 15 other randomly selected locations, all stored in .csv format. Upon merging these disparate .csv files, the dataset expanded to 1,276,654 entries. Following a pivot operation on 11 parameters (Alkalinity-total (as CaCO3), Ammonia-Total (as N), BOD - 5 days (Total), Chloride, Conductivity @25°C, Dissolved Oxygen, ortho-phosphate (as P) - unspecified, pH, Temperature, Total Hardness (as CaCO3), True Colour), the dataset was reduced to 29,159 rows. The selection of parameters was based on their availability across the entire dataset and aimed at encompassing fundamental measurements of water quality.This repository has two csv files:Water Quality Monitoring Dataset_ Ireland.csv - with Raw Water Quality DataWQI Results on Dataset - Which has the calculated Water Quallity Indices (CCME, WAWQI, Horton, SRDD, Brown) results of water quality

This study utilizes water quality data from Cork Harbour, Moy Killala, and 15 other coastal locations in Ireland. The Environmental Protection Agency (EPA) of Ireland manages and evaluates this dataset as part of their monitoring program. The extracted data comprises 445,125 entries from Cork Harbour, 722,532 entries from Moy Killala, and 15 other randomly selected locations, all stored in .csv format. Upon merging these disparate .csv files, the dataset expanded to 1,276,654 entries. Following a pivot operation on 11 parameters (Alkalinity-total (as CaCO3), Ammonia-Total (as N), BOD - 5 days (Total), Chloride, Conductivity @25°C, Dissolved Oxygen, ortho-phosphate (as P) - unspecified, pH, Temperature, Total Hardness (as CaCO3), True Colour), the dataset was reduced to 29,159 rows. The selection of parameters was based on their availability across the entire dataset and aimed at encompassing fundamental measurements of water quality.This repository has two csv files:Water Quality Monitoring Dataset_ Ireland.csv - with Raw Water Quality DataWQI Results on Dataset - Which has the calculated Water Quallity Indices (CCME, WAWQI, Horton, SRDD, Brown) results of water quality

This study utilizes water quality data from Cork Harbour, Moy Killala, and 15 other coastal locations in Ireland. The Environmental Protection Agency (EPA) of Ireland manages and evaluates this dataset as part of their monitoring program. The extracted data comprises 445,125 entries from Cork Harbour, 722,532 entries from Moy Killala, and 15 other randomly selected locations, all stored in .csv format. Upon merging these disparate .csv files, the dataset expanded to 1,276,654 entries. Following a pivot operation on 11 parameters (Alkalinity-total (as CaCO3), Ammonia-Total (as N), BOD - 5 days (Total), Chloride, Conductivity @25°C, Dissolved Oxygen, ortho-phosphate (as P) - unspecified, pH, Temperature, Total Hardness (as CaCO3), True Colour), the dataset was reduced to 29,159 rows. The selection of parameters was based on their availability across the entire dataset and aimed at encompassing fundamental measurements of water quality.This repository has two csv files:Water Quality Monitoring Dataset_ Ireland.csv - with Raw Water Quality DataWQI Results on Dataset - Which has the calculated Water Quallity Indices (CCME, WAWQI, Horton, SRDD, Brown) results of water quality

This dataset comprises mental health data from 1977 Bangladeshi university students across 15 top universities, collected from November to December 2023 using Google Forms. It includes assessments of academic anxiety, stress, and depression using widely used psychometric scales. The structured questionnaire covers sociodemographic variables and their associations, facilitating comprehensive analysis. Statistical analysis yielded satisfactory internal consistency (Cronbach’s alpha: 0.79), with anonymized participant data valuable for policymakers.

This dataset comprises mental health data from 1977 Bangladeshi university students across 15 top universities, collected from November to December 2023 using Google Forms. It includes assessments of academic anxiety, stress, and depression using widely used psychometric scales. The structured questionnaire covers sociodemographic variables and their associations, facilitating comprehensive analysis. Statistical analysis yielded satisfactory internal consistency (Cronbach’s alpha: 0.79), with anonymized participant data valuable for policymakers.

This dataset comprises mental health data from 1977 Bangladeshi university students across 15 top universities, collected from November to December 2023 using Google Forms. It includes assessments of academic anxiety, stress, and depression using widely used psychometric scales. The structured questionnaire covers sociodemographic variables and their associations, facilitating comprehensive analysis. Statistical analysis yielded satisfactory internal consistency (Cronbach’s alpha: 0.79), with anonymized participant data valuable for policymakers.

This dataset comprises mental health data from 1977 Bangladeshi university students across 15 top universities, collected from November to December 2023 using Google Forms. It includes assessments of academic anxiety, stress, and depression using widely used psychometric scales. The structured questionnaire covers sociodemographic variables and their associations, facilitating comprehensive analysis. Statistical analysis yielded satisfactory internal consistency (Cronbach’s alpha: 0.79), with anonymized participant data valuable for policymakers.

This dataset comprises mental health data from 1977 Bangladeshi university students across 15 top universities, collected from November to December 2023 using Google Forms. It includes assessments of academic anxiety, stress, and depression using widely used psychometric scales. The structured questionnaire covers sociodemographic variables and their associations, facilitating comprehensive analysis. Statistical analysis yielded satisfactory internal consistency (Cronbach’s alpha: 0.79), with anonymized participant data valuable for policymakers.