https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The csv file contains aggregated data on the results of the experiment (user_id), treatment type (group) and key user metrics(views and clicks) The task is to analyze the results of the experiment and write your recommendations.
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This dataset corresponds to the one generated with information about those applying to the Expression of Interest (EOI) including participants’ attributes, e.g. country of origin, TRLs, type of applicants, scores obtained in the evaluation process, and funding status after the funnel process. All of this, for statistical purposes and analysis of the performance of the Expression of Interest
In the fall of 2013, the Detroit Blight Removal Task Force commissioned Data Driven Detroit, the Michigan Nonprofit Association, and LOVELAND Technologies to conduct a survey of every parcel in the City of Detroit. The goal of the survey was to collect data on property condition and vacancy. The effort, called Motor City Mapping, leveraged relationships with the Rock Ventures family of companies and the Detroit Employment Solutions Corporation to assemble a dedicated team of over 200 resident surveyors, drivers, and quality control associates. Data collection occurred from December 4, 2013 until February 16, 2014, and the initiative resulted in survey information for over 370,000 parcels of land in the city of Detroit, identifying condition, occupancy, and use. The data were then extensively reviewed by the Motor City Mapping quality control team, a process that concluded on September 30, 2014. This file contains the official certified results from the Winter 2013/2014 survey, aggregated to 2010 Census Tracts for easy mapping and analysis. The topics covered in the dataset include totals and calculated percentages for parcels in the categories of illegal dumping, fire damage, structural condition, existence of a structure or accessory structure, and improvements on lots without structures.Metadata associated with this file includes field description metadata and a narrative summary documenting the process of creating the dataset.
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Anonymised version of the survey results on alternative aggregation mechanisms. The online survey was conducted through Google Forms and was available from April 20 to May 8, 2020 as part of a master’s thesis in Information Science.
The main objective of this survey was to gauge the awareness, interest, and use of technologies other than OAI-PMH for (meta)data aggregation. The main target audiences of the survey were the data providers and the aggregators of the Europeana network, albeit it should be noted that it was also open to other organisations and individuals working in the cultural heritage field. Another goal of the survey was to identify possible pilot experiments that Europeana could conduct with interested organisations.
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Despite the importance of the role of caregivers of people with psychosis being widely recognized, comprehensive understanding of their experience is limited. A thorough understanding of the experience of caregivers over the journey of the illness, particularly during its early stages, is crucial. Qualitative studies published between 1 January 1949 and 31 January 2018 were obtained from seven databases based on PICo search strategy. Meta-aggregation methodology of the Joanna Briggs Institute (JBI) was adopted to aggregate existing qualitative findings about caregivers’ experiences. Twenty-eight qualitative studies on 635 caregivers and family members were included in the review. Six inter-related categories—‘stigma’, ‘help-seeking’, ‘service encounter’, ‘emotional challenges’, ‘on becoming a caregiver’ and ‘making sense of experience’—were aggregated from 129 themes from the sub-acute stage, the acute stage and the recovery or residual stage. Three statements about caregivers’ experiences of their relative’s first episode of psychosis were synthesized from the findings. Results highlighted the need of incorporating caregiver intervention into the existing services to support the emotional challenges, uncertainty, and stigma-related burden along the caregiving journey.
https://www.icpsr.umich.edu/web/ICPSR/studies/1119/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1119/terms
Despite extensive research into the nature and determinants of party identification, links between individual-level partisan persistence and the degree of permanence in aggregate-level partisanship have largely been ignored. The failure to link the two levels of analysis leaves a gap in our collective understanding of the dynamics of aggregate partisanship. To remedy this, a set of ideal types are identified in this collection that capture the essential arguments made about individual-level party identification. The behavioral assumptions for each ideal type are then combined with existing results on statistical aggregation to deduce the specific temporal pattern that each ideal type implies for aggregate levels of partisanship. Using new diagnostic tests and a highly general time series model, the investigators found that aggregate measures of partisanship from 1953 through 1992 are fractionally integrated. The evidence that the effects of a shock to aggregate partisanship last for years -- not months or decades -- challenges previous work by party systems theorists (e.g., Burnham, 1970) and students of "macropartisanship" (e.g., MacKuen, Erikson, and Stimson, 1989). The arguments and empirical evidence of the degree of persistence in macro-level partisanship provides a conceptually richer and empirically more precise basis for existing theories -- such as those of issue evolution (Carmines and Stimson, 1989) or endogenous preferences (Gerber and Jackson, 1993) -- in which partisanship plays a central role.
Main aggregated results, 2009-2017
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Topographic databases normally contain areas of different land cover classes, commonly defining a planar partition, that is, gaps and overlaps are not allowed. When reducing the scale of such a database, some areas become too small for representation and need to be aggregated. This unintentionally but unavoidably results in changes of classes. In this article we present an optimisation method for the aggregation problem. This method aims to minimise changes of classes and to create compact shapes, subject to hard constraints ensuring aggregates of sufficient size for the target scale. To quantify class changes we apply a semantic distance measure. We give a graph theoretical problem formulation and prove that the problem is NP-hard, meaning that we cannot hope to find an efficient algorithm. Instead, we present a solution by mixed-integer programming that can be used to optimally solve small instances with existing optimisation software. In order to process large datasets, we introduce specialised heuristics that allow certain variables to be eliminated in advance and a problem instance to be decomposed into independent sub-instances. We tested our method for a dataset of the official German topographic database ATKIS with input scale 1:50,000 and output scale 1:250,000. For small instances, we compare results of this approach with optimal solutions that were obtained without heuristics. We compare results for large instances with those of an existing iterative algorithm and an alternative optimisation approach by simulated annealing. These tests allow us to conclude that, with the defined heuristics, our optimisation method yields high-quality results for large datasets in modest time.
Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
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Abstract of associated article: We explore the effect of cross-sectional aggregation of data on estimation and test of asymmetric retail fuel price responses to wholesale price shocks. The analysis is performed on data collected daily from individual fuel stations in the Spanish metropolitan areas of Madrid and Barcelona. While the standard OLS estimator is applied to an error correction model in the case of the aggregated time series, we use the mean group approaches developed by Pesaran and Smith (1995) and Pesaran (2006) to estimate the short- and long-run micro-relations under heterogeneity. We found remarkable differences between the results of estimations using aggregated and disaggregated data, which are highly robust to both datasets considered. Our findings could help to explain many of the results in the literature on this research topic. On the one hand, they suggest that the typical estimation with aggregated data clearly tends to overestimate the persistence of shocks. On the other hand, we show that aggregation may generate a loss of efficiency in econometric estimates that is sufficiently large to hide the existence of the “rockets and feathers” phenomenon.
This file provides summary or aggregated measures for the 82 societies participating in the first four waves of the World Value Surveys. Thus, the society, rather than the individuals surveyed, are the unit of analysis.
"The World Values Survey is a worldwide investigation of sociocultural and political change. It is conducted by a network of social scientists at leading universities all around world.
Interviews have been carried out with nationally representative samples of the publics of more than 80 societies on all six inhabited continents. A total of four waves have been carried out since 1981 making it possible to carry out reliable global cross-cultural analyses and analysis of changes over time. The World Values Survey has produced evidence of gradual but pervasive changes in what people want out of life. Moreover, the survey shows that the basic direction of these changes is, to some extent, predictable.
This project is being carried out by an international network of social scientists, with local funding for each survey (though in some cases, it has been possible to raise supplementary funds from outside sources). In exchange for providing the data from interviews with a representative national sample of at least 1,000 people in their own society, each participating group gets immediate access to the data from all of the other participating societies. Thus, they are able to compare the basic values and beliefs of the people of their own society with those of more than 60 other societies. In addition, they are invited to international meetings at which they can compare findings and interpretations with other members of the WVS network."
Survey results from University of Stirling. This dataset is not publicly accessible because: University of Stirling developed the survey and keeps the results. It can be accessed through the following means: Contact University of Stirling. Format: University of Stirling developed the survey and keeps the results. Group on Earth Observation AquaWatch distributed the survey and aggregated results. School of Wine & Spirits Business, Burgundy School of Business - Université Bourgogne Franche-Comté conducted statistical analysis. This dataset is associated with the following publication: Agnoli, L., E. Urquhart, N. Georgantzis, B. Schaeffer, R. Simmons, B. Hoque, M.B. Neely, C. Neil, J. Oliver, and A. Tyler. Perspectives on user engagement of satellite Earth observation for water quality management. Technological Forecasting and Social Change. ELSEVIER, AMSTERDAM, HOLLAND, 189: 122357, (2023).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Protein aggregation is the phenomenon which occurs when misfolded or unfolded protein physically binds together and can cause the development of various amyloidosis diseases. The goal of this study was to construct surrogate models for predicting protein aggregation using data-driven methods with two types of databases. This study suggests which approaches is more effective to predict protein aggregation depending on types of descriptors and database.
U.S. Government Workshttps://www.usa.gov/government-works
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This dataset tabulates aggregated data for simulations of undiscovered copper resources in porphyry copper deposits that were done using the EMINERS computer program (Duval, J.S., 2012, Version 3.0 of EMINERS—Economic Mineral Resource Simulator: U.S. Geological Survey Open-File Report 2004–1344, http://pubs.usgs.gov/of/2004/1344) as part of a global mineral resource assessment. The data in this table are the regional totals of the 4,999 sorted and randomized totals from the child entities Simulation results_sorted and Simulation results_randomized. These data are used as input for the Summary statistics by region.csv child item..
https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de700142https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de700142
Abstract (en): Chang and Kim (2007) develop an incomplete asset markets model incorporating discrete labor supply and idiosyncratic labor productivity. Their results resolve long-standing puzzles for business cycle models. Specifically, they produce a low correlation between aggregate hours worked and labor productivity (0.23) and a labor wedge with 76 percent the volatility of output. I show that these results arise from errors in their computational method. I resolve their model using a corrected method and find a strong, positive correlation between hours and productivity (0.80). Fluctuations in the labor wedge decrease to 24 percent of those in output.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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In this study, we merge results of two recent directions in efficiency analysis research-aggregation and bootstrap-applied, as an example, to one of the most popular point estimators of individual efficiency: the data envelopment analysis (DEA) estimator. A natural context of the methodology developed here is a study of efficiency of a particular economic system (e.g., an industry) as a whole, or a comparison of efficiencies of distinct groups within such a system (e.g., regulated vs. non-regulated firms or private vs. public firms). Our methodology is justified by the (neoclassical) economic theory and is supported by carefully adapted statistical methods.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The DIAMAS project investigates Institutional Publishing Service Providers (IPSP) in the broadest sense, with a special focus on those publishing initiatives that do not charge fees to authors or readers. To collect information on Institutional Publishing in the ERA, a survey was conducted among IPSPs between March-May 2024. This dataset contains aggregated data from the 685 valid responses to the DIAMAS survey on Institutional Publishing.
The dataset supplements D2.3 Final IPSP landscape Report Institutional Publishing in the ERA: results from the DIAMAS survey.
The data
Basic aggregate tabular data
Full individual survey responses are not being shared to prevent the easy identification of respondents (in line with conditions set out in the survey questionnaire). This dataset contains full tables with aggregate data for all questions from the survey, with the exception of free-text responses, from all 685 survey respondents. This includes, per question, overall totals and percentages for the answers given as well the breakdown by both IPSP-types: institutional publishers (IPs) and service providers (SPs). Tables at country level have not been shared, as cell values often turned out to be too low to prevent potential identification of respondents. The data is available in csv and docx formats, with csv files grouped and packaged into ZIP files. Metadata describing data type, question type, as well as question response rate, is available in csv format. The R code used to generate the aggregate tables is made available as well.
Files included in this dataset
survey_questions_data_description.csv - metadata describing data type, question type, as well as question response rate per survey question.
tables_raw_all.zip - raw tables (csv format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option. Zip file contains 180 csv files.
tables_raw_IP.zip - as tables_raw_all.zip, for responses from institutional publishers (IP) only. Zip file contains 180 csv files.
tables_raw_SP.zip - as tables_raw_all.zip, for responses from service providers (SP) only. Zip file contains 170 csv files.
tables_formatted_all.docx - formatted tables (docx format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option.
tables_formatted_IP.docx - as tables_formatted_all.docx, for responses from institutional publishers (IP) only.
tables_formatted_SP.docx - as tables_formatted_all.docx, for responses from service providers (SP) only.
DIAMAS_Tables_single.R - R script used to generate raw tables with aggregated data for all single response questions
DIAMAS_Tables_multiple.R - R script used to generate raw tables with aggregated data for all multiple response questions
DIAMAS_Tables_layout.R - R script used to generate document with formatted tables from raw tables with aggregated data
DIAMAS Survey on Instititutional Publishing - data availability statement (pdf)
All data are made available under a CC0 license.
This dataset shows the aggregated results of the National Council elections of 22 October 2023.Please note that the officially valid final results are published in the cantonal journal of the Canton of Basel-Stadt.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Data for Figure Atlas.2 from Atlas of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).
Figure Atlas.2 shows WGI reference regions used in the (a) AR5 and (b) AR6 reports.
How to cite this dataset
When citing this dataset, please include both the data citation below (under 'Citable as') and the following citations: For the report component from which the figure originates: Gutiérrez, J.M., R.G. Jones, G.T. Narisma, L.M. Alves, M. Amjad, I.V. Gorodetskaya, M. Grose, N.A.B. Klutse, S. Krakovska, J. Li, D. Martínez-Castro, L.O. Mearns, S.H. Mernild, T. Ngo-Duc, B. van den Hurk, and J.-H. Yoon, 2021: Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1927–2058, doi:10.1017/9781009157896.021
Iturbide, M. et al., 2021: Repository supporting the implementation of FAIR principles in the IPCC-WG1 Interactive Atlas. Zenodo. Retrieved from: http://doi.org/10.5281/zenodo.5171760
Figure subpanels
The figure has two panels, with data provided for both panels in the master GitHub repository linked in the documentation.
Data provided in relation to figure
This dataset contains the corner coordinates defining each reference region for the second panel of the figure, which contain coordinate information at a 0.44º resolution. The repository directory 'reference-regions' contains data provided for the reference regions as polygons in different formats (CSV with coordinates, R data, shapefile and geojson) together with R and Python notebooks illustrating the use of these regions with worked examples.
Data for reference regions for AR5 can be found here: https://catalogue.ceda.ac.uk/uuid/a3b6d7f93e5c4ea986f3622eeee2b96f
CMIP5 is the fifth phase of the Coupled Model Intercomparison Project. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. CORDEX is The Coordinated Regional Downscaling Experiment from the WCRP. AR5 and AR6 refer to the 5th and 6th Annual Report of the IPCC. WGI stands for Working Group I
Notes on reproducing the figure from the provided data
Data and figures produced by the Jupyter Notebooks live inside the notebooks directory. The notebooks describe step by step the basic process followed to generate some key figures of the AR6 WGI Atlas and some products underpinning the Interactive Atlas, such as reference regions, global warming levels, aggregated datasets. They include comments and hints to extend the analysis, thus promoting reusability of the results. These notebooks are provided as guidance for practitioners, more user friendly than the code provided as scripts in the reproducibility folder.
Some of the notebooks require access to large data volumes out of this repository. To speed up the execution of the notebook, in addition to the full code to access the data, we provide a data loading shortcut, by storing intermediate results in the auxiliary-material folder in this repository. To test other parameter settings, the full data access instructions should be followed, which can take long waiting times.
Sources of additional information
The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the figure on the IPCC AR6 website - Link to the report component containing the figure (Atlas) - Link to the Supplementary Material for Atlas, which contains details on the input data used in Table Atlas.SM.15. - Link to the code for the figure, archived on Zenodo. - Link to the necessary notebooks for reproducing the figure from GitHub. - Link to IPCC AR5 reference regions dataset
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Analysis of ‘Motor City Mapping, Certified Results, Winter 2013-14 ( Census Tract Aggregation)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/340b7f83-270b-46a7-857b-62ed55e8383d on 26 January 2022.
--- Dataset description provided by original source is as follows ---
In the fall of 2013, the Detroit Blight Removal Task Force commissioned Data Driven Detroit, the Michigan Nonprofit Association, and LOVELAND Technologies to conduct a survey of every parcel in the City of Detroit. The goal of the survey was to collect data on property condition and vacancy. The effort, called Motor City Mapping, leveraged relationships with the Rock Ventures family of companies and the Detroit Employment Solutions Corporation to assemble a dedicated team of over 200 resident surveyors, drivers, and quality control associates. Data collection occurred from December 4, 2013 until February 16, 2014, and the initiative resulted in survey information for over 370,000 parcels of land in the city of Detroit, identifying condition, occupancy, and use. The data were then extensively reviewed by the Motor City Mapping quality control team, a process that concluded on September 30, 2014.
This file contains the official certified results from the Winter 2013/2014 survey, aggregated to 2010 Census Tracts for easy mapping and analysis. The topics covered in the dataset include totals and calculated percentages for parcels in the categories of illegal dumping, fire damage, structural condition, existence of a structure or accessory structure, and improvements on lots without structures.
Metadata associated with this file includes field description metadata and a narrative summary documenting the process of creating the dataset.
--- Original source retains full ownership of the source dataset ---
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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CERF Organization Publications and Aggregated Budget in the Past Three Years
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The csv file contains aggregated data on the results of the experiment (user_id), treatment type (group) and key user metrics(views and clicks) The task is to analyze the results of the experiment and write your recommendations.