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2,453
datasets available to search
ShareScore release 0.9.0
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2,453 results for “Architecture”
Data from: Social network architecture and the tempo of cumulative cultural evolution
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A new molecular phylogeny of salps (Tunicata: Thalicea: Salpida) and the evolutionary history of their colonial architecture
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Data from: Genome-wide association mapping within a local Arabidopsis thaliana population more fully reveals the genetic architecture for defensive metabolite diversity
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Data from: The genetic architecture of quantitative variation in the self-incompatibility response within Phlox drummondii (Polemoniaceae)
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Genetic architecture of adaptive radiation across two trophic levels
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Data from: Repeated evolution of photoperiodic plasticity by different genetic architectures during recurrent colonizations in a butterfly
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Genetic architecture of dispersal behaviour in the post-harvest pest and model organism Tribolium castaneum
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Data for: Associations between leaf developmental stability, canalization and phenotypic plasticity in an architectural perspective
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Data from: Subgenome-informed statistical modeling of transcriptomes in 25 common wheat accessions reveals cis- and trans- regulation architectures
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Genetic architecture of disease resistance and tolerance in Douglas-fir trees
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Genetic architecture underlying response to the fungal pathogen Dothistroma septosporum in lodgepole pine, jack pine, and their hybrids
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Data from: The genetic architecture of dewlap pattern in Hispaniola Anoles (Anolis distichus)
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Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis
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High performance electroadhesive clutches with multilayered architecture
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On the genetic architecture of rapidly adapting and convergent life history traits in guppies
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Data and scripts for: Bayesian Phylogenetic Analysis on multi-core Compute Architectures: Implementation and evaluation of BEAGLE in RevBayes with MPI
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Data from: The genetic architecture of recombination rates is polygenic and differs between the sexes in wild house sparrows (Passer domesticus)
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"ATDx: Building an Architectural Technical Debt Index" companion dataset
<p>Companion dataset of the study "ATDx: Building an Architectural Technical Debt Index".</p> <p>The dataset contains the totality of the raw data mined via <a href="https://sonarcloud.io/">SonarCloud</a> for the viability investigation of the study.</p>
Collaborative Architecture, Urbanism, and Sustainability Web Archive (CAUSEWAY) collection derivatives
<p>Web archive derivatives of the <a href="https://archive-it.org/collections/4638">Collaborative Architecture, Urbanism, and Sustainability Web Archive (CAUSEWAY)</a> collection from the <a href="https://archive-it.org/home/IvyPlus">Ivy Plus Libraries Confederation</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>ivy-4638-parquet.tar.gz</strong> derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces a DataFrame with the following columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files<br> </li> </ul> <p>The <strong>ivy-4638-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>
Figure 1 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 1</strong> <strong>Phylogeny and cerebellar diversity of squamates.</strong> <strong>a</strong> Phylogenetic tree of all snake and lizard species used in morphological and volumetric analyses, adapted from the most inclusive phylogenetic study available for extant squamates. The seven major locomotor modes for snakes (coloured squares) and/or lizards (coloured circles), as defined based on anatomical features, habitat use, and movement type, are indicated by the same colour code throughout the entire manuscript (see bottom left corner): limbless or limb-reduced burrower (red squares and circles); limbless or limb-reduced facultative burrower (purple squares and circles); limbless or limb-reduced multi-habitat using lateral undulation (orange squares and circles); limbless or limb-reduced multi-habitat using other movements (yellow squares); quadrupedal arboreal (dark blue circles); quadrupedal terrestrial (light blue circles); quadrupedal facultative bipedal/aerial (green circles). <strong>b</strong>–<strong>o</strong> 3D-volume rendering and high-resolution whole-brain segmentation of iodine-stained adult heads (<strong>b</strong>–<strong>h</strong>) highlighting the cerebellum structure (<strong>b</strong>–<strong>o</strong>, red colour) of selected representative squamates at indicated position in the phylogenetic tree: <em>Pantherophis guttatus</em> (<strong>b</strong>, <strong>i</strong>), <em>Epicrates cenchria</em> (<strong>c</strong>, <strong>j</strong>), <em>Pogona vitticeps</em> (<strong>d</strong>, <strong>k</strong>), <em>Draco volans</em> (<strong>e</strong>,<strong> l</strong>), <em>Bradypodion pumilum</em> (<strong>f</strong>, <strong>m</strong>), <em>Anguis fragilis</em> (<strong>g</strong>, <strong>n</strong>), <em>Melanoseps loveridgei</em> (<strong>h</strong>, <strong>o</strong>). High magnifications of 3D-rendered cerebella (<strong>i</strong>–<strong>o</strong>) are shown in pial surface (left panels) and lateral (right panels) views for each selected species. Scale bars: 1mm (<strong>b</strong>–<strong>h</strong>), 500 μm (<strong>i</strong>–<strong>o</strong>).</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.