Publication Summary Description Related Collections: Recently updated collections Related Datasets: Recently updated datasets Related Projects: Recently updated projects Collection Summary Description Data and Resources Subjects Fields of Research Keywords Socio-economic Objectives Organisations & Groups Related Datasets: Recently updated datasets Related Projects: Recently updated projects Dataset Summary Description Data and Resources Subjects Fields of Research Keywords Socio-economic Objectives Organisations & Groups Related Collections: Recently updated collections Project Summary Description Data and Resources Subjects Fields of Research Keywords Socio-economic Objectives Organisations & Groups Related Collections: Recently updated collections Service Summary Description Related Datasets: Recently updated datasets Related Organisations: Related organisations JavaScript is not enabled This application requires Javascript, however the system has detected that Javascript is not enabled on the browser. Please follow these instructions on how to enable Javascript. After Javascript has been enabled, press F5 to reload this page to make this message disappear. Search Clear search Sort by: Date (Descending) Title, Descending Title, Ascending Date, Descending Date, Ascending 50 results per page 10 results per page 25 results per page 50 results per page Search returned 26 results in 1 pages. First First « Previous 1 » Next Last Last Australian University Staff Work, E-Stress and Wellbeing Survey Data Data of a multi-year university staff survey regarding a range of psychosocial measures and workplace conditions. The data currently includes four waves of data, occurring each year from 2020 to 2023. This is the basis to the dashboard report of the htm Year Published 2024 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/1fe9ecdf-7791-4bef-8215-cdf849631531 Addressing Mind Wandering in Video-Based Learning: A Comparative Study on the Impact of Interpolated Testing and Self-Explanation This data set shows the results of a study investigating whether writing self-explanations has a stronger effect than interpolated testing on reducing task-unrelated thoughts and improving learning outcomes. The data comes from 138 participants Year Published 2024 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/652f8fc6-c550-4a62-88eb-3a0664a4bfc7 Incivility in Surgical Teams Intervention project, Organisational Behaviour Data includes experienced or observed incivility from surgical team members, perceptions of team dynamics, and outcomes of job attitudes, stress, and burnout. Data was collected pre and post an intervention. The data is not matched over time at the xls Year Published 2023 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/c188aeae-0173-4481-8f73-12aff313ec00 De-identified dataset of the PALS (Pregnancy and Lifestyle Study), a community-based study of lifestyle on fertility and reproductive outcome. In order to assess the possible effects of lifestyle on fertility and pregnancy outcome, the PALS (Pregnancy and Lifestyle study) collected extensive data on a broad range of parameters termed ‘lifestyle’ from couples who were planning a natural xls pdf htm Year Published 2022 Organisation Queen Elizabeth Hospital Identifier https://researchoutputs.unisa.edu.au/11541.1/9e222946e0bd4289bc8572b847b9abed Does gamification increase engagement with online programs? A systematic review Engagement in online programs is difficult to maintain. Gamification is the recent trend that offers to increase engagement through the inclusion of game-like features like points and badges, in non-game contexts. This review will answer the xls Year Published 2020 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/23dadc0f6705442885c4689dcdb06078 Water quality data of various water resources of the Northern Adelaide Plains/Corridor This dataset covers the pH, turbidity (NTU), conductivity (uS/cm), characters of natural organic compounds [as UV absorbance @ 254 nm (cm-1) and colour @ 456 nm (Hazen unit)], major anions and cations concentrations (mg/L) and nutrient xls Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/f09e5c83fd12485ea21b25954b86676b Water Research Australia project 1061 (WRA 1061) DBP bioassay data This dataset covers WILL-2S cytotoxicity, Micronucleus, TA98 & TA100 Ames test as part of the Disinfection By-Products (DBP) and Cytotoxicity data collection for the Water Quality Management Stage 2 project. The data presented is the result of a xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/829d16b105834e438baca9fb69258226 Water Research Australia project 1061 (WRA 1061) Jar test data The dataset covers the Coagulation jar test and water quality information. This dataset forms part of the collection which covers Disinfection By-Products (DBP) and Cytotoxicity data for the Water Quality Management Stage 2 project. The data doc pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/42e7ee0094f244579b7c2960a546513d Water Research Australia project 1061 (WRA 1061) Disinfection By-products - Experiment Stage 4 This dataset covers Trihalometahanes (THMs), Haloacetic acids (HAAs) and Adsorbable Organic Halogens (AOX) for stage 4 of the experimental plan - effect of disinfection strategy on DBP formation. This dataset forms part of the collection which xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/9a4309fd8be343dd9d59eb3865628823 Water Research Australia project 1061 (WRA 1061) Disinfection By-products - Experiment Stage 2 This dataset contains Trihalomethanes (THMs), Haloacetic Acids (HAAs) and Adsorbable Organic Halogens (AOX) from stage 2 of the experimental plan - Effect of coagulation efficiency on DBP formation. This dataset forms part of the collection which xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/cd8e595ae0e84d80952ad553b7e52a8d Water Research Australia project 1061 (WRA 1061) Disinfection By-products - Experiment Stage 3 This dataset covers Trihalomethanes (THMs), Haloacetic Acids (HAAs) and Adsorbable Organic Halogens (AOX) for stage 3 of the experimental plan - Effect of bromide addition on Disinfection By-Products (DBP) formation. This dataset forms part of the xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/3853ce73cbfc4882969f64c75bd1e303 Water Research Australia project 1008 (WRA 1008) Bacteriology This dataset covers Heterotrophic plate counts (25 degrees C) and Flow Cytometry (Active, Total). The dataset is part of a collection covering the grab sample monitoring data for the 4 treatment systems (S1 Conventional coagulation; S2 Magnetic xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/b936a01dd26140a6813a2df06f8457e8 Water Research Australia project 1008 (WRA 1008) Metals This dataset covers Aluminium, Iron, Manganese and Calcium (mg/L). The dataset is part of a collection covering the grab sample monitoring data for the 4 treatment systems (S1 Conventional coagulation; S2 Magnetic Ion-exchange (MIEX) and coagulation; xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/8821e3a1ba004c1893d2ae949cb7ceac Water Research Australia project 1008 (WRA 1008) Colour-Turbidity This dataset covers True (filtered) Colour @ 456nm in Hazen (Pt/Co) Units and Turbidity in Nephelometric Turbidity Units (NTU). The dataset is part of the collection covering grab sample monitoring data for the 4 treatment systems (S1 Conventional xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/0b5a1aaae77b497c9239b39b35f20e20 Water Research Australia project 1008 (WRA 1008) DOC-UV The dataset covers Dissolved Organic Carbon concentrations (mg/L C), UV absorbance @ 245nm (/cm) and Specific UV Absorbance 'SUVA' (/m/mg/L). The dataset is part of a collection covering the grab sample monitoring data for the 4 treatment systems xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/9772f53eb5024ac08591961307b8b392 Water Research Australia project 1008 (WRA 1008) pH-Conductivity-Chlorine demand This dataset covers pH, Conductivity (uS/cm) and treated water chlorine demands (mg/L Chlorine). The dataset is part of a collection covering the grab sample monitoring data for the 4 treatment systems (S1 Conventional coagulation; S2 Magnetic xls pdf Year Published 2019 Organisation SA Water Identifier https://researchoutputs.unisa.edu.au/11541.1/487249b11b164098aee9c2863de76eda Chlorine demand of organics from SA catchment sources This dataset covers total and free residual chlorine concentrations (mg/L) measured at predetermined time intervals from dosing for water samples before and after alum treatment under standard conditions. The dataset is part of a collection xls pdf Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/b1c6dcaaed3c4156ae6a2d97c83c436c Nutrients data in waters from SA catchment sources This dataset covers total kjeldahl nitrogen (mg/L), nitrite + nitrate (mg/L), total nitrogen (mg/L) and total phosphorus (mg/L) concentration. The dataset is part of a collection involving experiments or data collected to investigate the influences xls pdf Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/30f316dd04314ca8a58fb0917e4d8ca9 Character of organics from SA catchment sources (F-EEM) This dataset covers the characterization of organics measured by fluorescence spectroscopy. This dataset includes the fluorescence excitation-emission matrix (F-EEM) spectra for water samples before and after alum treatment. The dataset is part of a xls pdf Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/031d68a9e9b143ef8c69e5bae5bbc9ae Treatability of organics from SA catchment sources This dataset covers pH, organics concentration (measured as dissolved organic carbon, mg/L) and organics characterization [UV absorbance @ 254 nm (cm-1) and colour @ 456 nm (Hazen unit)] for treated water samples by different alum doses. The dataset xls pdf Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/c2b035428f1e43a1860ca2a31f7f4377 General water quality data in waters from SA catchment sources This dataset covers pH, turbidity (NTU), conductivity (uS/cm), organics concentration (measured as dissolved organic carbon, mg/L) and organics characterization [UV absorbance @ 254 nm (cm-1) and colour @ 456 nm (Hazen unit)]. The dataset is part of xls pdf Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/0143515426c84edeaba111010485dced THM data of organics from SA catchment sources This dataset covers bromide concentration (mg/L), chloride concentration (mg/L), trihalomethane formation potential (µg/L) and the formation of constituent THM compounds (chloroform, bromo-dichloromethane, dibromo-chloromethane, bromoform) for xls pdf Year Published 2019 Organisation University of South Australia Identifier https://researchoutputs.unisa.edu.au/11541.1/ca1d1d5bd402406ab45c5eac2c114d1d Water Quality Data by Postcode Dataset Water quality data by post code contains customer tap data from SA Water’s various potable water quality systems. Water quality tests include; • Field tests • Microbiological tests • Chemical tests • Organic tests • Nutrient tests • htm Year Published 2018 Organisation SA Water Identifier Dataset.aspx?DatasetID=274718 SA Water Maintenance Work Data (Dataset) Scheduled work and maintenance are done by SA Water in different suburbs of South Australia to improve the services. The scheduled Maintenance work data includes: - The estimated time period - Suburb (the name of street, road, avenue) - Postcode - htm Year Published 2018 Organisation SA Water Identifier Dataset.aspx?DatasetID=275283 SA Water Reservoir data (dataset) SA Water has 10 reservoirs in metro and 6 in regional areas. The metro reservoir has capacity to accommodate nearly 200 GL. The interactive map provides information on current volume in each reservoir and volume and % change compared to last year on htm Year Published 2018 Organisation SA Water Identifier Dataset.aspx?DatasetID=276510 River Murray Daily Flow data (dataset) The River Murray is central to the life and development of South Australia. It has played an important role in our history and has helped us get to where we are today. SA Water plays an active role in managing the River Murray in South Australia. htm Year Published 2018 Organisation SA Water Identifier Dataset.aspx?DatasetID=276512 Search returned 26 results in 1 pages. First First « Previous 1 » Next Last Last