cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4750733
title: CONUS NG-IDF Data Sets

description: The <strong>NG-IDF data sets</strong> are developed for characterizing extreme events relevant to hydrologic design over water years 1951‒2013, at a 1/16th-degree (~6 km) resolution for over 200,000 locations across the conterminous United States (CONUS). The data sets are prepared in comma-separated value (.csv) format. <strong>The data sets include:</strong> <strong>list_location.csv</strong> <strong>Content:</strong> geographic <strong>c</strong>oordinates and (snow parameterization) cluster ID of 207,173 locations over the CONUS land surfaces. <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; <strong>C</strong>3: cluster ID (ranging from 1‒5) <strong>IDF/</strong> <strong>Content:</strong> discrete IDF values, i.e. magnitude of extreme events, corresponding to different event durations and returned periods, driven by different hydrometeorological mechanisms (i.e., rain, snowmelt, and rain-on-snow [ROS]) <strong>Dimension</strong>: 207,173 (Rows) x 9 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3‒9 (unit: mm): IDF values corresponding to return periods of 2 , 5, 10, 25, 50, 100, and 500 year <strong>trend/</strong> <strong>Content</strong>: Sen's slope of Mann-Kendall trend in annual maximum series driven by different hydrometeorological mechanisms over water years 1951‒2013 <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3:Trend. Unit is mm/year for all files but ROS_freq.csv that has a unit of # of events per year. <strong>Dom-Driver/</strong> <strong>Content</strong>: Dominant driving mechanism of extreme W events with different durations (24, 48 and 72 hours) and return periods (10, 50, and 100 years) <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3: Dominant driver IDs (1=rainfall, 2=ROS, 3=melt). <strong>risk/</strong> <strong>Content</strong>: Design risk associated with PREC-IDF estimated 100-year extreme events <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3: Bias (%) in PREC-IDF estimated extremes relative to NG-IDF <strong>SI/</strong> <strong>Content</strong>: Seasonality of annual maximum W events with 24-, 48-, and 72-hr durations <strong>Dimension</strong>: 207,173 (Rows) x 4 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3: Mean data (=1 if Oct 1); C4: Seasonality index <strong>Abbreviations used in folder/file names:</strong> W = water reaching the land surface during rain, snowmelt, and ROS events P = precipitation R = rainfall ROS = rain-on-snow M = snowmelt
DOI: 10.5281/zenodo.3710427
title: CONUS NG-IDF Data Sets

description: The <strong>NG-IDF data sets</strong> are developed for characterizing extreme events relevant to hydrologic design over water years 1951‒2013, at a 1/16th-degree (~6 km) resolution for over 200,000 locations across the conterminous United States (CONUS). The data sets are prepared in comma-separated value (.csv) format. <strong>The data sets include:</strong> <strong>list_location.csv</strong> <strong>Content:</strong> geographic <strong>c</strong>oordinates and (snow parameterization) cluster ID of 207,173 locations over the CONUS land surfaces. <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; <strong>C</strong>3: cluster ID (ranging from 1‒5) <strong>IDF/</strong> <strong>Content:</strong> discrete IDF values, i.e. magnitude of extreme events, corresponding to different event durations and returned periods, driven by different hydrometeorological mechanisms (i.e., rain, snowmelt, and rain-on-snow [ROS]) <strong>Dimension</strong>: 207,173 (Rows) x 9 (Columns) <strong>Format</strong>: C1: Latitude; C2: Longitude; C3‒9 (unit: mm): IDF values corresponding to return periods of 2 , 5, 10, 25, 50, 100, and 500 year <strong>trend/</strong> <strong>Content</strong>: Sen's slope of Mann-Kendall trend in annual maximum series driven by different hydrometeorological mechanisms over water years 1951‒2013 <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3:Trend. Unit is mm/year for all files but ROS_freq.csv that has a unit of # of events per year. <strong>Dom-Driver/</strong> <strong>Content</strong>: Dominant driving mechanism of extreme W events with different durations (24, 48 and 72 hours) and return periods (10, 50, and 100 years) <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3: Dominant driver IDs (1=rainfall, 2=ROS, 3=melt). <strong>risk/</strong> <strong>Content</strong>: Design risk associated with PREC-IDF estimated 100-year extreme events <strong>Dimension</strong>: 207,173 (Rows) x 3 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3: Bias (%) in PREC-IDF estimated extremes relative to NG-IDF <strong>SI/</strong> <strong>Content</strong>: Seasonality of annual maximum W events with 24-, 48-, and 72-hr durations <strong>Dimension</strong>: 207,173 (Rows) x 4 (Columns) <strong>Format</strong>: <strong>C</strong>1: Latitude; <strong>C</strong>2: Longitude; C3: Mean data (=1 if Oct 1); C4: Seasonality index <strong>Abbreviations used in folder/file names:</strong> W = water reaching the land surface during rain, snowmelt, and ROS events P = precipitation R = rainfall ROS = rain-on-snow M = snowmelt
DOI: 10.5281/zenodo.4750748
title: How are test smells treated in the wild? A tale of two empirical studies

description: <strong>Data collected in the study <em>"How are test smells treated in the wild? A tale of two empirical studies".</em></strong><br> <strong>Abstract:</strong> Developing test code may be a time­-consuming process that usually requires much effort and cost, es­pecially when done manually. Besides, during this process, developers and testers are likely to adopt bad design choices, which may lead to the introduction of the so­called test smells in the test code. As the test code with test smells increases in size, these tests might become more complex, and as a consequence, much more challenging to understand and evolve them correctly. Therefore, test smells may have a negative impact on the test code quality and maintenance and may also harm the whole software testing activities. In this context, this study aims to under­stand whether software testing practitioners unintentionally insert test smells when they implement test code. We first carried out an expert survey to analyze the usage frequency of a set of test smells and then interviews to reach a deeper understanding of how practitioners deal with test smells. Sixty professionals participated in the survey, and fifty professionals participated in the interview. The yielded results indicate that experienced professionals in­troduce test smells during their daily programming tasks, even when using their companies’ standardized practices. Additionally, test development and quality improvement are usually supported by tools, but most interviewees are test smells unaware.
DOI: 10.5281/zenodo.4548405
title: How are test smells treated in the wild? A tale of two empirical studies

description: <strong>Data collected in the study <em>"How are test smells treated in the wild? A tale of two empirical studies".</em></strong><br> <strong>Abstract:</strong> Developing test code may be a time­-consuming process that usually requires much effort and cost, es­pecially when done manually. Besides, during this process, developers and testers are likely to adopt bad design choices, which may lead to the introduction of the so­called test smells in the test code. As the test code with test smells increases in size, these tests might become more complex, and as a consequence, much more challenging to understand and evolve them correctly. Therefore, test smells may have a negative impact on the test code quality and maintenance and may also harm the whole software testing activities. In this context, this study aims to under­stand whether software testing practitioners unintentionally insert test smells when they implement test code. We first carried out an expert survey to analyze the usage frequency of a set of test smells and then interviews to reach a deeper understanding of how practitioners deal with test smells. Sixty professionals participated in the survey, and fifty professionals participated in the interview. The yielded results indicate that experienced professionals in­troduce test smells during their daily programming tasks, even when using their companies’ standardized practices. Additionally, test development and quality improvement are usually supported by tools, but most interviewees are test smells unaware.
DOI: 10.6084/m9.figshare.13129532
title: Sex-, age- and education-adjusted norms for the WHO/UCLA version of the Rey Auditory Verbal Learning Test for Sinhala-speaking Sri Lankan adults

description: The aim of this study was to create sex-, age- and education-adjusted norms for the WHO/UCLA version of the Rey Auditory Verbal Learning Test (RAVLT) for Sinhala-speaking Sri Lankan adults. Five-hundred and sixty-one healthy, community-living adults (252 men), aged 19–83 years, and had 0–23 years of education completed the WHO/UCLA RAVLT in Sinhala language. We conducted multiple linear regression analyses with sex, age and years of education to predict RAVLT list A1–A5 individual trial scores; trials A1–A5 total learning; list B score; immediate and delayed recall and recognition trial scores; and retroactive interference. We report regression equations to predict RAVLT norms based on sex, age and years of education; and the test variances accounted by those variables. Accordingly, all measures, except retroactive interference had a significant age-related decline. All measures, except the recognition trial hits, significantly improved with more years of education. Women had significantly higher scores in all measures except in trial B and retroactive interference. Proactive interference, learning rate, learning over trials were not associated with sex, age or education. A confirmatory factor analysis loaded the RAVLT outcome measures into two factors: acquisition and retention. We report sex-, age- and education-adjusted WHO/UCLA RAVLT norms for Sinhala-speaking Sri Lankans aged 19–83 years; and supplement the regression formulae with a calculator that produces predicted and standard scores for given test participant. These norms would help clinicians accurately interpret individual test results, accounting for the variability introduced by sex, age and education.
DOI: 10.6084/m9.figshare.11310083
title: Reliable change indices for the 37-item version of the MMSE in Spanish older adults

description: The aim of this study was to establish reliable change and regression-based change score norms on the 37-item version of MMSE in older Spanish adults at the three-year follow-up. All subjects of this research were selected from the Neurological Disorders in Central Spain (NEDICES), a prospective population-based cohort study of older adults (65 years and over). Of the 4208 individuals free from neurological disorders in this cohort, 2073 participants completed the MMSE-37 at baseline and at the three-year follow-up. Reliable Change Indices were computed for the 80, 90% and 95 confidence intervals (CIs). Multiple regression analyses were used to derive equations for predicting MMSE-37 post-test scores taking into account baseline scores, time to follow-up and sociodemographic factors. The MMSE-37 obtained a marginal test-retest reliability (.70). The results showed significant effects of education, age, and sex on the MMSE-37 change scores. After correcting for regression to the mean, at least a 6-point change on MMSE-37 (three-years follow-up) is required to be classified as reliable (90% CI). These findings demonstrate that the MMSE-37 is a reliable test-retest measure whose change scores are significantly influenced by sociodemographic factors. Importantly, small changes on this measure require a cautious interpretation.
DOI: 10.6084/m9.figshare.11310083.v1
title: Reliable change indices for the 37-item version of the MMSE in Spanish older adults

description: The aim of this study was to establish reliable change and regression-based change score norms on the 37-item version of MMSE in older Spanish adults at the three-year follow-up. All subjects of this research were selected from the Neurological Disorders in Central Spain (NEDICES), a prospective population-based cohort study of older adults (65 years and over). Of the 4208 individuals free from neurological disorders in this cohort, 2073 participants completed the MMSE-37 at baseline and at the three-year follow-up. Reliable Change Indices were computed for the 80, 90% and 95 confidence intervals (CIs). Multiple regression analyses were used to derive equations for predicting MMSE-37 post-test scores taking into account baseline scores, time to follow-up and sociodemographic factors. The MMSE-37 obtained a marginal test-retest reliability (.70). The results showed significant effects of education, age, and sex on the MMSE-37 change scores. After correcting for regression to the mean, at least a 6-point change on MMSE-37 (three-years follow-up) is required to be classified as reliable (90% CI). These findings demonstrate that the MMSE-37 is a reliable test-retest measure whose change scores are significantly influenced by sociodemographic factors. Importantly, small changes on this measure require a cautious interpretation.
DOI: 10.6084/m9.figshare.13129532.v1
title: Sex-, age- and education-adjusted norms for the WHO/UCLA version of the Rey Auditory Verbal Learning Test for Sinhala-speaking Sri Lankan adults

description: The aim of this study was to create sex-, age- and education-adjusted norms for the WHO/UCLA version of the Rey Auditory Verbal Learning Test (RAVLT) for Sinhala-speaking Sri Lankan adults. Five-hundred and sixty-one healthy, community-living adults (252 men), aged 19–83 years, and had 0–23 years of education completed the WHO/UCLA RAVLT in Sinhala language. We conducted multiple linear regression analyses with sex, age and years of education to predict RAVLT list A1–A5 individual trial scores; trials A1–A5 total learning; list B score; immediate and delayed recall and recognition trial scores; and retroactive interference. We report regression equations to predict RAVLT norms based on sex, age and years of education; and the test variances accounted by those variables. Accordingly, all measures, except retroactive interference had a significant age-related decline. All measures, except the recognition trial hits, significantly improved with more years of education. Women had significantly higher scores in all measures except in trial B and retroactive interference. Proactive interference, learning rate, learning over trials were not associated with sex, age or education. A confirmatory factor analysis loaded the RAVLT outcome measures into two factors: acquisition and retention. We report sex-, age- and education-adjusted WHO/UCLA RAVLT norms for Sinhala-speaking Sri Lankans aged 19–83 years; and supplement the regression formulae with a calculator that produces predicted and standard scores for given test participant. These norms would help clinicians accurately interpret individual test results, accounting for the variability introduced by sex, age and education.
DOI: 10.6084/m9.figshare.14576073.v1
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"<br>
DOI: 10.6084/m9.figshare.14576196
title: Вычисления к диссертации.xlsx

description: Survey data of 52 EdTech startup founders
DOI: 10.6084/m9.figshare.14576073.v2
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"<br>
DOI: 10.6084/m9.figshare.14576205
title: Данные для диссертации_Служевская.xlsx

description: The dataset contains data on the 2 parts of the Thesis: (1) data on M&A between banks in EU (2007-2017) and (2) data on institutional design characteristics of the EU national competition authorities and the European Commission.
DOI: 10.6084/m9.figshare.14576205.v1
title: Данные для диссертации_Служевская.xlsx

description: The dataset contains data on the 2 parts of the Thesis: (1) data on M&A between banks in EU (2007-2017) and (2) data on institutional design characteristics of the EU national competition authorities and the European Commission.
DOI: 10.6084/m9.figshare.14576073
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"<br>
DOI: 10.6084/m9.figshare.14576073.v4
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"<br>
DOI: 10.6084/m9.figshare.14576073.v3
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"<br>
DOI: 10.6084/m9.figshare.14576211.v1
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"
DOI: 10.6084/m9.figshare.14576211
title: Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ

description: набор данных диссертации: "Сравнительный анализ воздействия бюджетной и денежно-кредитной политики на темпы экономического роста в РФ"
DOI: 10.5517/ccdc.csd.cc26rqh6
title: CCDC 2048588: Experimental Crystal Structure Determination

description: Related Article: Jarrod R. Thomas, Scott A. Sulway|2021|RSC Advances|11|16158|doi:10.1039/D0RA10826J
DOI: 10.5517/ccdc.csd.cc26slqb
title: CCDC 2049432: Experimental Crystal Structure Determination

description: Related Article: Svetlana V. Klementyeva, Claudio Schrenk, Minghui Zhang, Marat M. Khusniyarov, Andreas Schnepf|2021|Chem.Commun.|57|4730|doi:10.1039/D1CC01151K
DOI: 10.5517/ccdc.csd.cc26slrc
title: CCDC 2049433: Experimental Crystal Structure Determination

description: Related Article: Svetlana V. Klementyeva, Claudio Schrenk, Minghui Zhang, Marat M. Khusniyarov, Andreas Schnepf|2021|Chem.Commun.|57|4730|doi:10.1039/D1CC01151K
DOI: 10.6084/m9.figshare.13301444
title: Whose view do we use? Comparing expert water professional and lay householder perspectives on water-saving behaviours

description: Applying behavioural science to complex issues, like water demand management, requires behaviour prioritisation for focused program design. This requires tools and data to support decision-making. Some sectors obtain expert-derived data to fill gaps for statistical modelling. However, there is an ongoing debate over use of expert, versus lay, stakeholder perspectives. We extend previous research by examining perceptions held by expert water professionals (n = 44), and lay householder (n = 151) stakeholders, regarding household water-saving behaviours and barriers to participation. We find consistency between expert and lay perceptions on behavioural participation rates and impact on water saving, but less agreement on the effort required for behaviour adoption. Such inconsistency on perceptions of effort could have implications for behaviour selection and intervention design. Our findings suggest that expert-derived data could be used for behaviour prioritisation, but lay input is valuable when everyday (curtailment) or maintenance type water-saving behaviours are under consideration.
DOI: 10.6084/m9.figshare.13386007.v1
title: A model-based estimate of the groundwater budget and associated uncertainties in Bengaluru, India

description: Understanding the water metabolism of developing country cities is challenging because of insufficient knowledge of how social, infrastructural and hydrological dimensions are coupled. Using Bengaluru City in India, we demonstrate how fine-resolution data can inform model-based estimates of urban groundwater budgets. Groundwater levels were measured at 154 locations in 2016 and used to estimate model parameters and uncertainty. Total water use was estimated at 1470 million litres per day (MLD). Groundwater pumping meets the majority of this use (827 MLD), followed by utility water supply (643 MLD). Total recharge was estimated at 973 MLD. Natural recharge is a much smaller portion (183 MLD) compared to anthropogenic recharge from leaking water supply and wastewater systems (791 MLD). The city experienced a net negative groundwater balance (40 MLD). Natural recharge and total water use estimates showed lower uncertainty. Spatial variation in these fluxes is described and related to secondary information.
DOI: 10.6084/m9.figshare.13301444.v1
title: Whose view do we use? Comparing expert water professional and lay householder perspectives on water-saving behaviours

description: Applying behavioural science to complex issues, like water demand management, requires behaviour prioritisation for focused program design. This requires tools and data to support decision-making. Some sectors obtain expert-derived data to fill gaps for statistical modelling. However, there is an ongoing debate over use of expert, versus lay, stakeholder perspectives. We extend previous research by examining perceptions held by expert water professionals (n = 44), and lay householder (n = 151) stakeholders, regarding household water-saving behaviours and barriers to participation. We find consistency between expert and lay perceptions on behavioural participation rates and impact on water saving, but less agreement on the effort required for behaviour adoption. Such inconsistency on perceptions of effort could have implications for behaviour selection and intervention design. Our findings suggest that expert-derived data could be used for behaviour prioritisation, but lay input is valuable when everyday (curtailment) or maintenance type water-saving behaviours are under consideration.