100+ datasets found
  1. A/B Trial Aggregated Data

    • kaggle.com
    Updated Sep 18, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sergei Logvinov (2022). A/B Trial Aggregated Data [Dataset]. https://www.kaggle.com/datasets/sergylog/ab-trial-aggregated-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sergei Logvinov
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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.

  2. Z

    DATASET of INTEGRADDE Expression of Interest, including aggregated and...

    • data.niaid.nih.gov
    Updated Nov 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Raquel Carro (2022). DATASET of INTEGRADDE Expression of Interest, including aggregated and anonymized results. [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7269843
    Explore at:
    Dataset updated
    Nov 1, 2022
    Dataset authored and provided by
    Raquel Carro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  3. d

    Motor City Mapping, Certified Results, Winter 2013-14 ( Census Tract...

    • catalog.data.gov
    • data.ferndalemi.gov
    • +3more
    Updated Feb 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Driven Detroit (2025). Motor City Mapping, Certified Results, Winter 2013-14 ( Census Tract Aggregation) [Dataset]. https://catalog.data.gov/dataset/motor-city-mapping-certified-results-winter-2013-14-census-tract-aggregation-3ccba
    Explore at:
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Description

    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.

  4. Survey results on alternative aggregation mechanisms (anonymised version)

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated Aug 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Julien A. Raemy; Julien A. Raemy (2023). Survey results on alternative aggregation mechanisms (anonymised version) [Dataset]. http://doi.org/10.5281/zenodo.3966693
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 10, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Julien A. Raemy; Julien A. Raemy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  5. f

    Data from: Systematic review (meta-aggregation) of qualitative studies on...

    • figshare.com
    • tandf.figshare.com
    docx
    Updated Nov 22, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esther Yee Wai Mui; Sherry K. W. Chan; Pik Ying Chan; Christy L. M. Hui; Wing C. Chang; Edwin H. M. Lee; Eric Y. H. Chen (2019). Systematic review (meta-aggregation) of qualitative studies on the experiences of family members caring for individuals with early psychosis [Dataset]. http://doi.org/10.6084/m9.figshare.9895742.v2
    Explore at:
    docxAvailable download formats
    Dataset updated
    Nov 22, 2019
    Dataset provided by
    Taylor & Francis
    Authors
    Esther Yee Wai Mui; Sherry K. W. Chan; Pik Ying Chan; Christy L. M. Hui; Wing C. Chang; Edwin H. M. Lee; Eric Y. H. Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  6. Dynamics of Aggregate Partisanship

    • icpsr.umich.edu
    Updated Dec 3, 1996
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dynamics of Aggregate Partisanship [Dataset]. https://www.icpsr.umich.edu/web/ICPSR/studies/1119
    Explore at:
    Dataset updated
    Dec 3, 1996
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Box-Steffensmeier, Janet M.; Smith, Renee M.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1119/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1119/terms

    Time period covered
    1953 - 1992
    Area covered
    United States
    Description

    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.

  7. s

    Main aggregated results, 2009-2017 - Datasets - This service has been...

    • store.smartdatahub.io
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Main aggregated results, 2009-2017 - Datasets - This service has been deprecated - please visit https://www.smartdatahub.io/ to access data. See the About page for details. // [Dataset]. https://store.smartdatahub.io/dataset/is_statistics_iceland_main_aggregated_results_2009_2017
    Explore at:
    Description

    Main aggregated results, 2009-2017

  8. f

    Data from: Area aggregation in map generalisation by mixed-integer...

    • tandf.figshare.com
    pdf
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jan-Henrik Haunert; Alexander Wolff (2023). Area aggregation in map generalisation by mixed-integer programming [Dataset]. http://doi.org/10.6084/m9.figshare.825637.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Jan-Henrik Haunert; Alexander Wolff
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  9. m

    Data for: Asymmetric fuel price responses under heterogeneity

    • data.mendeley.com
    • narcis.nl
    Updated Nov 30, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jacint Balaguer (2016). Data for: Asymmetric fuel price responses under heterogeneity [Dataset]. http://doi.org/10.17632/n2kgb6nmg9.1
    Explore at:
    Dataset updated
    Nov 30, 2016
    Authors
    Jacint Balaguer
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    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.

  10. World Values Survey, Aggregate Data

    • thearda.com
    Updated May 31, 2005
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Values Survey Association (WVSA) (2005). World Values Survey, Aggregate Data [Dataset]. http://doi.org/10.17605/OSF.IO/9QN4C
    Explore at:
    Dataset updated
    May 31, 2005
    Dataset provided by
    Association of Religion Data Archives
    Authors
    World Values Survey Association (WVSA)
    Dataset funded by
    The World Values Survey Association
    Bank of Sweden Tercentennary Foundation
    Description

    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."

  11. Survey Results

    • catalog.data.gov
    Updated Mar 19, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2023). Survey Results [Dataset]. https://catalog.data.gov/dataset/survey-results
    Explore at:
    Dataset updated
    Mar 19, 2023
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    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).

  12. Prediction of Protein Aggregation Propensity via Data-driven...

    • figshare.com
    zip
    Updated Apr 3, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Minseon Kim; Myeonghun Lee; Sun Jiwon (2023). Prediction of Protein Aggregation Propensity via Data-driven Approaches_Database [Dataset]. http://doi.org/10.6084/m9.figshare.22492606.v3
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 3, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Minseon Kim; Myeonghun Lee; Sun Jiwon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  13. U

    Sorted and randomized EMINERS simulation results for copper in undiscovered...

    • data.usgs.gov
    • search.dataone.org
    • +1more
    Updated Jul 30, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jane Hammarstrom (2024). Sorted and randomized EMINERS simulation results for copper in undiscovered porphyry copper deposits aggregated by regions and globally [Dataset]. http://doi.org/10.5066/F70K26Q4
    Explore at:
    Dataset updated
    Jul 30, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jane Hammarstrom
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2008 - 2016
    Description

    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..

  14. g

    Replication data for: Heterogeneity and Aggregation: Implications for...

    • search.gesis.org
    • openicpsr.org
    Updated Nov 29, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Takahashi, Shuhei (2019). Replication data for: Heterogeneity and Aggregation: Implications for Labor-Market Fluctuations: Comment [Dataset]. http://doi.org/10.3886/E112762V1
    Explore at:
    Dataset updated
    Nov 29, 2019
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    Takahashi, Shuhei
    License

    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

    Description

    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.

  15. J

    Statistical inference for aggregates of Farrell-type efficiencies...

    • jda-test.zbw.eu
    txt, xls, zip
    Updated Jul 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Léopold Simar; Valentin Zelenyuk; Léopold Simar; Valentin Zelenyuk (2024). Statistical inference for aggregates of Farrell-type efficiencies (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/statistical-inference-for-aggregates-of-farrelltype-efficiencies
    Explore at:
    txt(7298), xls(22016), txt(1578), zip(470697)Available download formats
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Léopold Simar; Valentin Zelenyuk; Léopold Simar; Valentin Zelenyuk
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  16. Z

    DIAMAS survey on Institutional Publishing - aggregated data

    • data.niaid.nih.gov
    • zenodo.org
    Updated Mar 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ross, George (2025). DIAMAS survey on Institutional Publishing - aggregated data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10590502
    Explore at:
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Kramer, Bianca
    Ross, George
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  17. g

    Results of the 2023 National Council elections (aggregated data) | gimi9.com...

    • gimi9.com
    Updated Nov 8, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Results of the 2023 National Council elections (aggregated data) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_100297-kanton-basel-stadt/
    Explore at:
    Dataset updated
    Nov 8, 2023
    Description

    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.

  18. Atlas of the Working Group I Contribution to the IPCC Sixth Assessment...

    • catalogue.ceda.ac.uk
    Updated Jun 19, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Maialen Iturbide; José Manuel Gutiérrez; Joaquín Bedia; Ezequiel Cimadevilla; Javier Díez-Sierra; Rodrigo Manzanas; Ana Casanueva; Jorge Baño-Medina; Josipa Milovac; Sixto Milovac; Antonio S. Cofiño; Daniel San Martín; Markel García-Díez; Mathias Hauser; David Huard; Özge Yelekci; Jesús Fernández (2023). Atlas of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure Atlas.2 (v20221104) [Dataset]. https://catalogue.ceda.ac.uk/uuid/789ad030299342ea99534edfb62450d9
    Explore at:
    Dataset updated
    Jun 19, 2023
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Maialen Iturbide; José Manuel Gutiérrez; Joaquín Bedia; Ezequiel Cimadevilla; Javier Díez-Sierra; Rodrigo Manzanas; Ana Casanueva; Jorge Baño-Medina; Josipa Milovac; Sixto Milovac; Antonio S. Cofiño; Daniel San Martín; Markel García-Díez; Mathias Hauser; David Huard; Özge Yelekci; Jesús Fernández
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1850 - Dec 31, 2099
    Area covered
    Earth
    Description

    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

  19. A

    ‘Motor City Mapping, Certified Results, Winter 2013-14 ( Census Tract...

    • analyst-2.ai
    Updated Jan 26, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Motor City Mapping, Certified Results, Winter 2013-14 ( Census Tract Aggregation)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-motor-city-mapping-certified-results-winter-2013-14-census-tract-aggregation-4437/16742eb4/?iid=008-235&v=presentation
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 ---

  20. CERF Organization Publications and Aggregated Budget in the Past Three Years...

    • iatiregistry.org
    iati-xml
    Updated Jul 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CERF Organization Publications and Aggregated Budget in the Past Three Years [Dataset]. https://iatiregistry.org/dataset/cerf-organization
    Explore at:
    iati-xml(7830)Available download formats
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    United Nationshttp://un.org/
    Central Emergency Response Fund
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    CERF Organization Publications and Aggregated Budget in the Past Three Years

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Sergei Logvinov (2022). A/B Trial Aggregated Data [Dataset]. https://www.kaggle.com/datasets/sergylog/ab-trial-aggregated-data
Organization logo

A/B Trial Aggregated Data

Analyze the results of the experiment and write your recommendations

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 18, 2022
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Sergei Logvinov
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

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.

Search
Clear search
Close search
Google apps
Main menu