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  • The data supporting all analyses presented in the results of each experiment for manuscript "Differences in time-based task characteristics help to explain the age-prospective memory paradox" (Accepted for publication in Cognition on 31st March, 2020) are provided here as supplementary online material. For each experiment, we provide each participant’s demographic data; proportion correct score for event, time-of-day, and time-interval cued tasks for each setting (i.e., Virtual Week and MEMO); and contextual data (MEMO). The contextual data for Experiment 1 includes reported location and activity; for Experiment 2 and 3: location, activity, and retrospective memory test (recognition of quiz type). Note: odd quiz numbers (e.g., “quiz 1.1”; day 1 quiz 1] are always time-of-day quizzes; and even quiz numbers (e.g., “quiz 1.2”; day 1 quiz 2) are always time-interval quizzes.
    Data Types:
    • Software/Code
    • Dataset
  • This data set contains the derived data products for the published manuscript Orgel et al. (2020) "Re-examination of the population, stratigraphy, and sequence of mercurian basins: Implications for Mercury´s early impact history and comparison with the Moon" at Journal of Geophysical Research Planets. This data package includes GIS-ready shapefiles of Mercurian basins, crater counting measurements, and Craterstats files.
    Data Types:
    • Dataset
    • File Set
  • Identifying Factors Affecting E-customer Loyalty in Gamified Trusted Store Platforms: A Case Study Analysis in Iran
    Data Types:
    • Software/Code
    • Dataset
    • Text
    • File Set
  • The micro x-ray CT images of two rock samples have been reconstructed. The data type of images: uint8 Spatial Resolution: 1.2 micrometer/voxel Size: 400X400X400 The reconstructed or "Original" images are suffering from existence of artifacts, roundoff errors, and different types of visual or mathematical noises in the reconstructed CT images. Each image has been applied with a series of bandpass and bilateral filters.
    Data Types:
    • Dataset
    • File Set
  • Supplementary Data. Includes Excel data tables for ages and shapefiles for ages, geomorphology and ice-sheet reconstruction.
    Data Types:
    • Image
    • Dataset
    • Document
    • File Set
  • Non-marginal (average) AWARE CFs and WSI CFs: We provide a shapefile, CSV file and KML file of the average AWARE characterization factors (CFs) based on the marginal AWARE CFs from Boulay et al. (2018). We also provide it together with average WSI factors from Pfister and Bayer (2014), since based on the UNEP SETAC recommendation, AWARE should be used together with an alternative scarcity method to test sensitivities (Jolliet et al. 2018). The XLS version of the average AWARE CFs is available from the original publication: Pfister S, Scherer L, Buxmann K (2020) Water scarcity footprint of hydropower based on a seasonal approach - Global assessment with sensitivities of model assumptions tested on specific cases. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138188 DATA structure: The CSV files lists CFs for each month (01 to 12) and each methods: AWARE_01 stands for original marginal AWARE CFs of January, AWARE_a_01 represents the newly calculated average AWARE CFs for January, WSI_01 are the marginal WSI CFs for January and WSI_AVG_01 the average WSI CFs for January. The CSV file can be linked to WaterGAP watersheds based on the "BAS34S_ID" . The WaterGAP shapefile is e.g. available at http://www.wulca-waterlca.org/aware.html. The Shapefile and KML file follows the same order but are already linked to the watershed shapefile.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
    • File Set
  • Daily Disposable Contact Lens Study SPSS Data Set
    Data Types:
    • Software/Code
    • Dataset
  • The aim of this research is to find how humen react to vibrational excitations in road field test environment.
    Data Types:
    • Software/Code
    • Dataset
    • File Set
  • Exome Array Data from 1019 Han Chinese Bladder Cancer Cases
    Data Types:
    • Tabular Data
    • Dataset
    • File Set
  • Data Types:
    • Other
    • Software/Code
    • Image
    • Tabular Data
    • Dataset
    • Document
    • Text
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