Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
286
datasets available to search
ShareScore release 0.9.0
Dataset results
286 results for “data mobilization.”
Data for: A generalized area-based framework to quantify river mobility from remotely sensed imagery
Open the record for dataset details and reuse information.
Data from: Arm waving in stylophoran echinoderms: three-dimensional mobility analysis illuminates cornute locomotion
Open the record for dataset details and reuse information.
Data for: Mobility of the human foot's medial arch helps enables upright bipedal locomotion
Open the record for dataset details and reuse information.
Data from: Depletion of lamins B1 and B2 promotes chromatin mobility and induces differential gene expression by a mesoscale-motion dependent mechanism
Open the record for dataset details and reuse information.
Data from: Direct quantification of ion composition and mobility in organic mixed ionic-electronic conductors
Open the record for dataset details and reuse information.
Data from: A village doctor-led mobile health intervention for cardiovascular risk reduction in rural China: cluster randomised controlled trial
Open the record for dataset details and reuse information.
Data for: Channel mobility and floodplain reworking across river planform morphologies
Open the record for dataset details and reuse information.
Customer acceptance on Mobile banking adoption in the Netherlands Questionnaire and Data
<p>The purpose of this study is to gain insights into significant decision factors that influence the adoption of mobile banking in the Netherlands. Gaining insights on factors affecting user adoption of mobile banking will help banks to formulate interventions to improve user acceptance. Especially now, with the Corona crisis, such initiatives in mobile technology are even more relevant for banking. The survey is completely anonymous, it consists of 20 different questions divided over sections A, B, C, and D which will take approximately 10 minutes to answer.</p>
Accompanying data to "Empowerment or concealed compliance? A review of literature on mobile ICT solutions for patient empowerment"
<p>This file contains the details of the systematic literature review that underlies the article "Empowerment or concealed compliance? A review of literature on mobile ICT solutions for patient empowerment". The article will be published in the proceedings of ACM PETRA 2016. This file contains all the coding tables, and the list of included primary studies.</p>
Experimental Data for Natural Disaster Mobility Model and Typhoon Haiyan Scenario
<p>The experimental data set for running the <em>Typhoon Haiyan</em> scenario with the <em>Natural Disaster Mobility Model</em> presented in the paper:</p> <p>Milan Stute, Max Maass, Tom Schons, and Matthias Hollick, “<strong>Reverse Engineering Human Mobility in Large-scale Natural Disasters</strong>,” to appear in <em>ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM)</em>, November 2017, Miami Beach, USA.</p>
Distinct mobility patterns of BRCA2 molecules at DNA damage sites - source data
<p>This repository contains source data from the publication "Distinct mobility patterns of BRCA2 molecules at DNA damage sites"</p><p>- Source data of FRAP experiments. Text files contain time and intensity data of the individual FRAP curves including the normalized intensities as plotted in the figure.</p><p>- Source data for BRCA2 protein quantification </p><p>- dSTORM localization data</p><p>- Single-molecule tracks of BRCA2-Halo Mitomycin and untreated tracks. Original movies can be found here: http://doi.orig/10.5281/zenodo.10144073</p><p>For questions please contact Maarten Paul (m.w.paul [at] erasmusmc.nl</p>
Mapping and modelling global mobility infrastructure stocks, material flows and their embodied greenhouse gas emissions - Data
<p>Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. </p><p>The data in this repository show the material stocks contained in global mobility infrastructure networks at the country-level and mapped at 5arcmins, as well as country-level estimates of material flows for maintenance, replacement and expansion of those infrastructures, and the associated GHG emissions from materials production. This repository contains all data as shown in figures of the article, including the GeoTIFF files for figure 3, and the supplementary data file containing full country-level results.</p><p><strong>Data</strong><br>This dataset includes the following data:</p><ul><li>Global maps of material stocks in mobility infrastructure networks at 5 arcmins, separate for all roads, all rail-based infrastructure, as well as in total and per capita</li><li>Global country-level material stock estimates for mobility infrastructures</li><li>Global country-level estimates of material flows and associated GHG emissions for materials production</li><li>Material intensity in mass per area of road (kg/m²) per road type</li><li>Material intensity in mass per area of railway track (kg/m²) per railway type</li><li>Material intensity in mass per area (kg/m²) per bridges and tunnels</li></ul><p>Material intensity factors are available for iron and steel, concrete, asphalt, aggregate (sand & gravel), timber, and other.</p><p><strong>Further information</strong><br>This dataset complements the following scientific article:</p><p>Wiedenhofer, Dominik, André Baumgart, Sarah Matej, Doris Virág, Gerald Kalt, Maud Lanau, Danielle Densley Tingley, u. a. "Mapping and Modelling Global Mobility Infrastructure Stocks, Material Flows and Their Embodied Greenhouse Gas Emissions". <i>Journal of Cleaner Production</i>, November 2023, 139742. <a href="https://doi.org/10.1016/j.jclepro.2023.139742">https://doi.org/10.1016/j.jclepro.2023.139742</a>.</p><p>For further information please see the publication. You can also contact Dominik Wiedenhofer <a href="mailto:dominik.wiedenhofer@boku.ac.at">dominik.wiedenhofer(a)boku.ac.at</a> and visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website</a> to learn more about our project: <i>MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</i></p><p><strong>Funding</strong><br>This research was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). </p>
Processed data for the analysis of human mobility changes from COVID-19 lockdown on bird occupancy in North Carolina, USA
<p>The COVID-19 pandemic lockdown worldwide provided a unique research opportunity for ecologists to investigate the human-wildlife relationship under abrupt changes in human mobility, also known as Anthropause. Here we chose 15 common non-migratory bird species with different levels of synanthrope and we aimed to compare how human mobility changes could influence the occupancy of fully synanthropic species such as House Sparrow (<em>Passer domesticus</em>) versus casual to tangential synanthropic species such as White-breasted Nuthatch (<em>Sitta carolinensis</em>). We extracted data from the eBird citizen science project during three study periods in the spring and summer of 2020 when human mobility changed unevenly across different counties in North Carolina. We used the COVID-19 Community Mobility reports from Google to examine how community mobility changes towards workplaces, an indicator of overall human movements at the county level, could influence bird occupancy.</p>
Raw data and MTEX script for the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling"
<p>This dataset contains the EBSD (.ctf) files of the different sample areas analyzed in the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling" by J. Furstoss, S. Demouchy, A. Tommasi, E. Gardès, F. Barou and N. Marino, which is expected to be published in Tectonophysics. This repository also contains the Analyze.m MTEX script which has been used for the post-processing of the EBSD files. This script has to be run in matlab and outputs different figures and .csv files containing the raw data used in the article. For any questions please contact jfurstoss@orange.fr </p>
Hellenistic-Roman bioarchaeological mobility data - MetaMobility project
<p>This database covers the bioarchaeological data we could extract on Hellenistic-Roman period human mobility in the Central and Eastern Mediterranean and Middle East. In addition, it includes studies that are not about mobility per se but they provide metric or nonmetric data that could be used in biodistance studies. The database was created as part of the MetaMobility project (EXCELLENCE/0421/0376), which is implemented under the programme of social cohesion “THALIA 2021-2027” cofunded by the European Union, through the Research and Innovation Foundation.</p>
Mobile phone data
<p><strong>Phone communication data</strong></p> <p>Phone communication data from multiple phone extractions. The file NodeList.csv contains the nodes of the multivariate graph and contains the following columns: </p> <p>_nodeID : unique identifier for each entity of the graph<br> _nodeType : specification of node type (phone, person, contact or identifier)<br> _viewIcon: tulip-specific attribute which defines the icon used for each node<br> _viewShape: tulip-specific attribute which defines the shape for each node</p> <p>The file EdgeList.csv contains all edges between the above specified nodes and contains the following columns:<br> _sourceID : unique identifier of source node<br> _targetID : unique identifier of target node<br> _relType : specification of the type of relation (communication, contact association, user account association)<br> _nbCommunications : number of communications exchanged between two given nodes. Attribute present only for edges of type ‘communication’.</p> <p>Nodes and relations can be imported into Tulip using the ‘import csv’ option. In order to create metanodes, only edges describing associations (contacts, user accounts) are used in a first step in order to use the algorithm ‘connected componants’. After importing the communication edges, metanodes can then be created based on the metric value calculated beforehand.</p> <p> </p> <p> </p> <p> </p>
Displacement Data for "The Central Mindoro Fault: A Sinistral Fault Within the Translational Boundary Between the Palawan Microcontinental Block and the Philippine Mobile Belt"
<p>This dataset contain information on reference features, locations, V/H measurements, and sense of displacement along the Central Mindoro Fault (Philippines). </p>
data and codes for paper "Deriving mobility-lifetime products in halide perovskite films from spectrally- and time-resolved photoluminescence"
<p>These are the data and Matlab codes used in the paper "Deriving mobility-lifetime products in halide perovskite films from spectrally- and time-resolved photoluminescence".</p>
User Study Data for "HapticLock: Eyes-Free Authentication for Mobile Devices"
<p>User study data from the HapticLock paper published in the Proceedings of the ACM ICMI 2021 conference.</p>
3D Point Cloud Data for LiDAR-based Mobile Robot
<p>LiDAR point cloud data serves as an machine vision alternative other than image. Its advantages when compared to image and video includes depth estimation and distance measurement. Low-density LiDAR point cloud data can be used to achieve navigation, obstacle detection and obstacle avoidance for mobile robots. autonomous vehicle and drones. In this metadata, we scanned over 1400 objects and classified it into 6 groups of object namely, human, cars, motorcyclist, signboard, road divider and others.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.