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286 results for “data mobilization.”

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zenodo32/100

Data for: Mapping aids using output-directed programming increase novices' performance in programming mobile robotic systems

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo32/100

Data from: Mining the in-use stock of energy-transition materials for closed-loop e-mobility

<p>Material flow analysis dataset for energy-transition materials developed within the Spoke11 - CNMS MOST - WP2:Design for Sustainability</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

The data of 'A quantitative assessment of potential benefits and challenges of international researcher mobility for home and host countries: Evidence from the Chinese Scholarship Council program ''

<p>This dataset includes all the data of results related to the paper 'A quantitative assessment of potential benefits and challenges of international researcher mobility for home and host countries: &nbsp;Evidence from the Chinese Scholarship Council program'. We have provided only the processed data, as the raw data from Web of Science is subject to licensing restrictions and cannot be publicly shared.&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Supplementary Data for Crelier et al. (2025) entitled "Mobility of South America's Transcontinental Drainage Divide and Shrinkage of the Paraná River Basin Linked to Lithologic and Geodynamic Controls"

<p>Supplementary Data for Crelier et al. (2025) entitled &ldquo;Mobility of South America&rsquo;s Transcontinental Drainage Divide and Shrinkage of the Paran&aacute; River Basin Linked to Lithologic and Geodynamic Controls&rdquo; and published in Springer Nature's Scientific Reports.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Original data for: "Nanoscale imaging of mobile carriers and trapped charges in doped silicon p–n junctions"

<p>Original data from the publication.</p>

opencc-by-4.0Jun 2020View details →
zenodo32/100

Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions

<p>Lipidomics studies suffer from analytical and annotation challenges due to the great structural similarity of many of the lipid species. To improve lipid characterization and annotation capabilities beyond those afforded by traditional mass spectrometry (MS)-based methods, multidimensional separation methods such as those integrating liquid chromatography, ion mobility spectrometry, collision induced dissociation and MS (LC-IMS-CID-MS) may be employed. While LC-IMS-CID-MS and other multidimensional methods offer valuable hydrophobicity, structural and mass information, the files are also complex and difficult to assess. Thus, the development of software tools to rapidly process and facilitate confident lipid annotations is essential. In this Protocol Extension, we utilize the freely available, vendor-neutral, and open-source software Skyline to process and annotate the multidimensional lipidomic data. While Skyline was established for targeted processing of LC-MS-based proteomics data, it has since been extended such that it can be used to analyze small molecule data as well as data containing the IMS dimension. This protocol utilizes Skylines&rsquo; recently expanded capabilities, including small molecule spectral libraries, indexed retention time (iRT), and ion mobility filtering, and provides a step-by-step description for importing data, predicting retention times, validating lipid annotations, exporting results, and editing our manually validated 500+ lipid library. While the time required to complete the steps outlined here varies based on multiple factors such as dataset size and familiarity with Skyline, this protocol takes approximately 5.5 hours to complete when annotations are rigorously verified for maximum confidence.</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Data for the paper "The link between subsurface rheology and ejecta mobility: the case of small new impacts on Mars"

<p>Data for the paper "The link between subsurface rheology and ejecta mobility: the case of small new impacts on Mars".</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Data - Mobile phones and their impact on the socioeconomic development of rural women in Peru

<p>Project database Mobile phones and their impact on the socioeconomic development of rural women in Peru</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Data Leveraging Digital Innovation: Enhancing Tourist Intentions through Social Media, Websites, and Mobile App Experiences

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

Data supplementing article "Role of baroclinic processes on flushing characteristics in a highly stratified estuarine system, Mobile Bay, Alabama" submitted to Journal of Geophysical Research: Oceans

<p>The dataset uploaded includes the model inputs and outputs, as well as the time-series of dye mass for each of the 16 numerical experiments that are tested in this study.&nbsp;</p>

opencc-by-4.0Apr 2018View details →
zenodo32/100

Data for "Mobility enhancement in graphene by in situ reduction of random strain fluctuations"

<p>Data for &quot;Mobility enhancement in graphene by in situ reduction of random strain fluctuations&quot;</p>

opencc-by-4.0Sep 2019View details →
zenodo32/100

Anonymised human location data for urban mobility research

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

Data from: A mobile application–based citizen science product to compile bird observations

<p>This repository contains the data and codes to reproduce the analysis of manuscript: "A mobile application&ndash;based citizen science product to compile bird observations":</p> <p>Nokelainen, O, Lauha, P, Andrejeff, S, H&auml;nninen, J, Inkinen, J, Kallio, A, Lehto, HJ, Mutanen, M, Paavola, R, Schiestl-Aalto, P, Somervuo, P, Sundell, J, Talaskivi, J, Vallinm&auml;ki, M, Vancraeyenest, A, Lehti&ouml;, A and Ovaskainen, O. 2024. A Mobile Application&ndash; Based Citizen Science Product to Compile Bird Observations.&nbsp;<em>Citizen Science: Theory and Practice,&nbsp;</em>9(1): 24, pp. 1&ndash;14. DOI:&nbsp;<a href="https://doi.org/10.5334/cstp.710" target="_blank" rel="noopener noreferrer">https://doi.org/10.5334/cstp.710</a></p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Mobility and persistence of pesticides and emerging contaminants in age-dated and redox-classified groundwater under a range of land use types [data set]

<p>Data set covering measured pesticides and emerging contaminants, the tritium and noble gas data and metadata for which the results are discussed in the publication in Science of the Total Environment (2024); doi: 10.1016/j.scitotenv.2024.176344</p>

opencc-by-nc-4.0Sep 2024View details →
zenodo32/100

Mobile radar data for 3 cases

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

DFT data from article "Oxide Ion Mobility in V- and P-doped Bi2O3-Based Solid Electrolytes: Combining Quasielastic Neutron Scattering with Ab Initio Molecular Dynamics"

<p>DFT data from article: "Oxide Ion Mobility in V- and P-doped Bi2O3-Based Solid Electrolytes: Combining Quasielastic Neutron Scattering with Ab Initio Molecular Dynamics" (<span><a href="https://pubs.acs.org/doi/full/10.1021/acs.chemmater.2c03103">https://pubs.acs.org/doi/full/10.1021/acs.chemmater.2c03103</a>). Published by 'creators' listed above.&nbsp;</span></p>

opencc-by-4.0Sep 2024View details →
dryad32/100

Data from: Investigating population genetic structure in a highly mobile marine organism: the minke whale Balaenoptera acutorostrata acutorostrata in the North East Atlantic

Inferring the number of genetically distinct populations and their levels of connectivity is of key importance for the sustainable management and conservation of wildlife. This represents an extra challenge in the marine environment where there are few physical barriers to gene-flow, and populations may overlap in time and space. Several studies have investigated the population genetic structure within the North Atlantic minke whale with contrasting results. In order to address this issue, we analyzed ten microsatellite loci and 331 bp of the mitochondrial D-loop on 2990 whales sampled in the North East Atlantic in the period 2004 and 2007–2011. The primary findings were: (1) No spatial or temporal genetic differentiations were observed for either class of genetic marker. (2) mtDNA identified three distinct mitochondrial lineages without any underlying geographical pattern. (3) Nuclear markers showed evidence of a single panmictic population in the NE Atlantic according STRUCTURE's highest average likelihood found at K = 1. (4) When K = 2 was accepted, based on the Evanno's test, whales were divided into two more or less equally sized groups that showed significant genetic differentiation between them but without any sign of underlying geographic pattern. However, mtDNA for these individuals did not corroborate the differentiation. (5) In order to further evaluate the potential for cryptic structuring, a set of 100 in silico generated panmictic populations was examined using the same procedures as above showing genetic differentiation between two artificially divided groups, similar to the aforementioned observations. This demonstrates that clustering methods may spuriously reveal cryptic genetic structure. Based upon these data, we find no evidence to support the existence of spatial or cryptic population genetic structure of minke whales within the NE Atlantic. However, in order to conclusively evaluate population structure within this highly mobile species, more markers will be required.

opencc-zeroDec 2013View details →
dryad32/100

Data from: Computational research on mobile pastoralism using agent-based modeling and satellite imagery

Dryland pastoralism has long attracted considerable attention from researchers in diverse fields. However, rigorous formal study is made difficult by the high level of mobility of pastoralists as well as by the sizable spatio-temporal variability of their environment. This article presents a new computational approach for studying mobile pastoralism that overcomes these issues. Combining multi-temporal satellite images and agent-based modeling allows a comprehensive examination of pastoral resource access over a realistic dryland landscape with unpredictable ecological dynamics. The article demonstrates the analytical potential of this approach through its application to mobile pastoralism in northeast Nigeria. Employing more than 100 satellite images of the area, extensive simulations are conducted under a wide array of circumstances, including different land-use constraints. The simulation results reveal complex dependencies of pastoral resource access on these circumstances along with persistent patterns of seasonal land use observed at the macro level.

opencc-zeroDec 2015View details →
zenodo32/100

Sequencing data for "Identifying and tracking mobile elements..." by van Dijk et al. (2023)

<p>The dataset contains the following directories:</p> <p><strong>All_raw_MAGs</strong>: all cross-assembled MAGs per community, with a text file for their BAT annotation results. Cross-assembly was done by combining all time points.&nbsp;<br> <strong>Candidatus_Saccharibacterium_MAGs</strong>: identified nanobacterium MAGs from various communities.&nbsp;<br> <strong>Cellvibrio_MAGs</strong>: identified cellvibrio spp. across communities.&nbsp;<br> <strong>Cellvibrio_Plasmids:</strong>&nbsp;Cp plasmids belonging to Cellvibrio (C1) which transferred from communities 8 to 4, 6, 9, and 10 (in horizontal communities)<br> <strong>Interactive_Dataset:</strong>&nbsp;HTML5 (Plotly)&nbsp;graphs to explore all xenotypic sequences and MAG abundance plots<br> <strong>Rscript_mock_data</strong>: R script used to design the mock data for the benchmark set.&nbsp;</p> <p>And a single spreadsheet (<strong>Xenoseq_mastersheet.xlsx,&nbsp;</strong>Supplementary Table 1) of data discussed in the main text.</p>

opencc-by-4.0Jan 2023View details →
ClinicalTrials.gov32/100

Desktop Versus Mobile Data Collection in Clinical Trial

ClinicalTrials.gov study NCT01473238. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record