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10 results for “e-infrastructures”

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zenodo44/100

Dataset with the results of the e-infrastructures Austria National Survey about Research Data

<p>This is the dataset accompanying the report with the results of our national survey regarding the management of research data</p>

opencc-by-4.0May 2016View details →
zenodo44/100

Example Instantiations of the e-Infrastructure Catalogue of Services

<p>This document contains example instantiations of the e-Infrastructure Catalogue of Services. This supports a published framework for creating a Catalogue of Services (CoS), primarily intended for e-Infrastructure services, which describes services at a high level and makes them discoverable.</p>

opencc-by-4.0Nov 2016View details →
zenodo44/100

Topic Map for KPI analysis of e-Infrastructure projects

<p>This is a Topic Map from the e-IRG Knowledge Base used by the e-IRGSP5 project to analyse Key Performance Indicators (KPIs) for e-Infrastructure projects funded by Horizon 2020.</p>

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

Example Instantiations of the e-Infrastructure Catalogue of Services [vsn02]

<p>This document contains updated example instantiations of the e-Infrastructure Catalogue of Services. This supports a published framework for creating a Catalogue of Services (CoS), primarily intended for e-Infrastructure services, which describes services at a high level and makes them discoverable.</p>

opencc-by-4.0Nov 2016View details →
zenodo28/100

Figure 5 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191

Figure 5 - Request processing time for issues. Time lapse between posting of issues and the first reply to this issue divided into request category and each category divided into issues posted by users versus developers (October 2010–June 2011).

opencc-by-4.0Nov 2011View details →
zenodo28/100

Figure 3 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191

Figure 3 - Pattern of support requests and of new Scratchpads over time. Number of support requests posted to both support systems by users and number of new Scratchpads created per month (October 2010–June 2011).

opencc-by-4.0Nov 2011View details →
zenodo28/100

Figure 2 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191

Figure 2 - Pattern of email requests over time. Number of email requests per month divided into request category and each category divided into emails sent by users versus developers (October 2010–June 2011).

opencc-by-4.0Nov 2011View details →
zenodo28/100

Figure 1 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191

Figure 1 - Pattern of issues over time. Number of issues per month divided into request category and each category divided into issues posted by users versus developers (October 2010–June 2011).

opencc-by-4.0Nov 2011View details →
zenodo28/100

Figure 4 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191

Figure 4 - Pattern of requests over time by Scratchpad. Number of requests posted per month (October 2010–June 2011) for Scratchpads for which ten or more requests were posted during the analysed period. In the legend the creation date of the individual Scratchpads is cited.

opencc-by-4.0Nov 2011View details →
zenodo28/100

Figure 6 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191

Figure 6 - Request processing time for email requests. Time lapse between posting of an email and the first reply to this email divided into request category and each category divided into emails sent by users versus developers (October 2010–June 2011).

opencc-by-4.0Nov 2011View details →

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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