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72 results for “online resources”

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zenodo44/100

Online Resources for Strullu-Derrien et al - The 330–320 Million-Year-Old Tranchée des Malécots (Chaudefonds-sur-Layon, South of the Armorican Massif, France): a Rare Geoheritage Site Containing In Situ Palaeobotanical Remains

<p>This repository contains the following files associate with &quot;The 330&ndash;320 Million-Year-Old Tranch&eacute;e des Mal&eacute;cots (Chaudefonds-sur-Layon, South of the Armorican Massif, France): a Rare Geoheritage Site Containing In Situ Palaeobotanical Remains&quot; by&nbsp;Christine Strullu-Derrien, Alan RT Spencer, Christopher J Cleal&nbsp;and Victor O. Leshyk.</p> <p><strong>Online Resource 1</strong> Model data as a .zip archive (301.5MB) containing .obj/.mtl and texture files for each 3D reconstruction (Models #1-4, whole site reconstruction, detailed reconstruction of the trench, and model of the mine site).</p> <p><strong>Online Resource 2</strong> Video animation showing whole site 3D model (.mp4 | 37.7MB), with quick fly-through of the Tranch&eacute;e des Mal&eacute;cots showing exposed rock and bedding of the SW wall.</p> <p><strong>Online Resource 3</strong> Video animation showing 3D Model #1 (.mp4 | 35.1MB).</p> <p><strong>Online Resource 4</strong> Video animation showing 3D Model #2 (.mp4 | 83.5MB).</p> <p><strong>Online Resource 5</strong> Video animation showing 3D Model #3 (.mp4 | 45.3MB).</p> <p><strong>Online Resource 6</strong> Video animation showing 3D Model #4 (.mp4 | 65.8MB).</p> <p><strong>Online Resource 7</strong> Video animation showing 3D model of the&nbsp;Mal&eacute;cots mine headframe (.mp4 | 14.9.0MB).</p>

opencc-by-4.0Feb 2022View details →
zenodo44/100

Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs - Dataset

<p>Dataset providing a set of measurement of performance and power consumpetion of a virtualized Base Station (srseNB).</p>

opencc-by-4.0Jun 2021View details →
zenodo44/100

Back to the edge: relative coordinate system for use-wear analysis [complement to Online Resource 6]

<p>Raw data, and R markdown scripts and HTML outputs of the statistical procedures.</p> <p>Instructions to download all files at once are given here: <a href="https://doi.org/10.5281/zenodo.4011952">https://doi.org/10.5281/zenodo.4011952</a></p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

Well-being at the Frontlines: Leadership Strategies for Building Up Strong Resources Among Emergency Responders: Online Supplement

<p>This is the online supplement for a mixed-methods article on resource-oriented leadership in emergency organizations.</p> <p><em>Abstract:&nbsp;</em>Repeated exposure to extreme events and other demanding missions can erode protective resources among emergency responders, causing health problems that, in turn, jeopardize their readiness and performance. Using a mixed-methods approach, this article examines how leaders of emergency responders can systematically maintain and even enhance their subordinates&rsquo; well-being. To identify effective leadership strategies, we conducted in-depth interviews with 25 fire chiefs, 25 platoon leaders, and 26 subordinates from the German fire services. Employing the critical incident technique, we explored leadership processes both during emergency situations and during interim phases (training, standby time, etc.). Person-oriented leadership (developing, group-serving, and caring behavior) was described as fostering various resource gains, while task-oriented leadership (directive and problem-solving behavior) was reported to mitigate resource threats. Moreover, the interviews underscore the importance of interim phases in enhancing well-being. A cross-sectional survey with firefighters and members of a technical relief organization (N = 459) supported the qualitative findings. We integrate our results into a framework that links leadership in emergency organizations to subordinates&rsquo; well-being and readiness in demanding work contexts. Moreover, we discuss the generalizability of our results to other high-risk work contexts.&nbsp;</p> <p>The study was approved by the ethics committee of the Faculty of Psychology &amp; Sports Science of [institution anonymized for review].</p> <p><br>This online supplement includes</p> <ul> <li>STUDY1_GermanFireServices.pdf: Description of the organizational differences between volunteer and professional firefighters in Germany</li> <li>STUDY1_InterviewGuides.pdf: All interview guides used in Study 1 (English translations)</li> <li>STUDY1_CI-summaries.pdf: Short summaries of all critical incidents collected in Study 1</li> <li>STUDY1_AnalysisDetails.pdf: Supplementary material on the qualitative analysis of the interviews conducted in Study 1</li> <li>STUDY2_Codebook.xlsx: a codebook describing all instructions and items of Study 2</li> <li>rawData_Study2.csv: raw data of Study 2 (anonymised; the raw data contains only the information of persons who were included in the analysis and have agreed to it.)</li> <li>STUDY2_AnalysisScript.R: An analysis script based on R</li> <li>STUDY2_Supplemental-Analyses.pdf: supplemental analyses including comparisons between final sample and dropout, comparisons between subgroups, detailed descriptive analyses</li> </ul>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Empty plots layer screenshot of the Kunbaja online resource

<p>Secondary information layer "empty plots" of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Magyar plots layer screenshot of the Kunbaja online resource with Ungar plots highlighted

<p>Secondary information layer "magyar plots" of the Kunbaja online resource model built in QGIS as screenhots in the .png file format with Ungar plots highlighted</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Female plots layer screenshot of the Kunbaja online resource

<p>Secondary information layer &quot;female plots&quot; of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse

<p>The Reddit Politosphere is a large-scale resource of online political discourse covering more than 600 political discussion groups over a period of 12 years. Based on the <a href="https://doi.org/10.5281/zenodo.3608135">Pushshift Reddit Dataset</a>, it is to the best of our knowledge the largest and ideologically most comprehensive dataset of its type now available. One key feature of the Reddit Politosphere is that it consists of both text and network data. We also release annotated metadata for subreddits and users.</p> <p>Documentation and scripts for easy data access are provided in an associated&nbsp;<a href="https://github.com/valentinhofmann/politosphere">repository</a>&nbsp;on GitHub.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Medical Students use Online Study Materials more than School-Provided Resources when preparing for USMLE Step 1

<p>In this excel file contains the raw data collected from a survery sent out to students attend ULSOM and UNRSOM. The raw data was processed and analyzed in the sheet titled "graphs".&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Back to the edge: relative coordinate system for use-wear analysis [complement to Online Resource 3]

<p>3D micro surface data processed in ConfoMap v7.4.8633 (a derivative of MountainsMap Imaging Topography developed by Digital Surf, Besan&ccedil;on, France).</p> <p>Instructions to download all files at once are given here: <a href="https://doi.org/10.5281/zenodo.4011952">https://doi.org/10.5281/zenodo.4011952</a></p>

opencc-by-4.0Nov 2018View details →
zenodo40/100

Fig. 2 in Reptiles of Ecuador: a resource-rich online portal, with dynamic checklists and photographic guides

Fig. 2. Biogeographic regions of Ecuador. Source: https://bioweb.bio (modified from Sierra et al. 1999).

opencc-by-4.0May 2019View details →
zenodo40/100

Fig. 1 in Reptiles of Ecuador: a resource-rich online portal, with dynamic checklists and photographic guides

Fig. 1. Histogram showing the description of reptile species present in Ecuador through time, from Linnaeuss 10th edition of Systema Naturae to the end of 2018. The number of species described per decade is presented above each bar.

opencc-by-4.0May 2019View details →
zenodo40/100

Village sections layer screenshot of the Kunbaja online resource

<p>Information layer &quot;village sections&quot; of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Village sections dataset of the Kunbaja online resource

<p>Information layer &quot;village sections&quot; of the Kunbaja online resource model built in QGIS as dataset in the ESRI shapefile format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Road names layer screenshot of the Kunbaja online resource

<p>Information layer &quot;road names&quot; of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Plots dataset of the Kunbaja online resource

<p>Information layer &quot;plots&quot; of the Kunbaja online resource model built in QGIS as dataset in the ESRI shapefile format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Features dataset of the Kunbaja online resource

<p>Information layer &quot;features&quot; of the Kunbaja online resource model built in QGIS as dataset in the ESRI shapefile format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Boundaries dataset of the Kunbaja online resource

<p>Information layer &quot;boundaries&quot; of the Kunbaja online resource model built in QGIS as dataset in the ESRI shapefile format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Road names dataset of the Kunbaja online resource

<p>Information layer &quot;road names&quot; of the Kunbaja online resource model built in QGIS as dataset in the ESRI shapefile format</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Hydro features layer screenshot of the Kunbaja online resource

<p>Information layer &quot;hydro features&quot; of the Kunbaja online resource model built in QGIS as screenhots in the .png file format</p>

opencc-by-4.0Aug 2023View details →

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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