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93 results for “Brakes”
Figure 3 from: Blagoderov V, Brake I, Georgiev T, Penev L, Roberts D, Ryrcroft S, Scott B, Agosti D, Catapano T, Smith V (2010) Streamlining taxonomic publication: a working example with Scratchpads and ZooKeys. ZooKeys 50: 17-28. https://doi.org/10.3897/zookeys.50.539
Figure 3 - Sections of the manuscript. Terms listed under taxon name correspond to the fields of the Species Profile Model (SPM) to be automatically included in the manuscript. Custom sections can be organised hierarchically.
Figure 1 from: Penev L, Agosti D, Georgiev T, Catapano T, Miller J, Blagoderov V, Roberts D, Smith V, Brake I, Ryrcroft S, Scott B, Johnson N, Sautter G, Chavan V, Robertson T, Remsen D, Stoev P, Parr C, Knapp S, Kress W, Thompson F, Erwin T (2010) Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples. ZooKeys 50: 1-16. https://doi.org/10.3897/zookeys.50.538
Figure 1 - Conventional layout of a standard taxonomic publication in PDF format (A) and the same portion of text in XML-tagged format (B). Explanations: The sign "<" incidates the start tag and the symbol " denotes the start of the treatment and the tag (not visible here) marks up the end of the treatment within the text of the paper. The tags and denote the start and end of a particular section of the treatment, in this case the type material data (labelled as Type material.)
Figure 1 from: Smith V, Rycroft S, Brake I, Scott B, Baker E, Livermore L, Blagoderov V, Roberts D (2011) Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science. ZooKeys 150: 53-70. https://doi.org/10.3897/zookeys.150.2193
Figure 1 - Scratchpad usage statistics from February 2007 to September 2011. The black dashed line represents the number of Scratchpad community sites (in hundreds) and the blue solid line represents the number of registered users (in thousands). As of September 2011 we have switched to recording the number of active users (currently 4424) since this figure provides a more accurate guide to usage.
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).
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).
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).
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).
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.
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).
Figure 2 from: Smith V, Rycroft S, Brake I, Scott B, Baker E, Livermore L, Blagoderov V, Roberts D (2011) Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science. ZooKeys 150: 53-70. https://doi.org/10.3897/zookeys.150.2193
Figure 2 - Screenshots of the Scratchpad 2 publication module showing an example workflow. Top, the section writing tool showing material and methods section; middle, the relationship selector that allows a taxon and additional materials to be associated with a section of the publication; and bottom, supplementary files such as illustrations, photos or graphs can be added to complete the publication.
Data from: Understanding real-world brake activity: A key to assessing non-tailpipe emission sources for sustainable transportation and communities
Open the record for dataset details and reuse information.
NCST real world brake activity of heavy-duty vehicles
Open the record for dataset details and reuse information.
SYNCRIP is the Molecular Brake of APOBEC-driven Mutagenesis, Tumor Heterogeneity and Therapy Resistance
GEO Series GSE202321. Homo sapiens. 67 samples. Type: Expression profiling by high throughput sequencing; Other.
Histone Deacetylase 3 is an Epigenomic Brake in Macrophage Alternative Activation (microarray)
GEO Series GSE33608. Mus musculus. 13 samples. Type: Expression profiling by array.
Histone Deacetylase 3 is an Epigenomic Brake in Macrophage Alternative Activation (ChIP-Seq)
GEO Series GSE33596. Mus musculus. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
E4BP4 is a transcriptional brake in Tfh cell differentiation
GEO Series GSE121389. Mus musculus. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Histone Deacetylase 3 is an Epigenomic Brake in Macropahge Alternative Activation
GEO Series GSE33609. Mus musculus. 20 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by array.
Diverse maturity-dependent and complementary anti-apoptotic brakes safeguard human iPSC-derived neurons from cell death.
GEO Series GSE207986. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Obesity Remodels Activity and Transcriptional State of a Lateral Hypothalamic Brake on Feeding
GEO Series GSE130597. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Releasing the mitochondrial respiration brake MCJ/DnaJC15 enhances CD8 CAR-T cell therapy efficacy
GEO Series GSE263259. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
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.