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4,753 results for “SHAPE”
Functions of the Mediator subunit Med31 in Candida albicans support a role in shaping species-specific gene expression.
GEO Series GSE31632. Candida albicans. 4 samples. Type: Expression profiling by array.
FIGURE 1 in Operculum shape variation in Theodoxus Montfort, 1810 (Gastropoda: Neritidae)
FIGURE 1: Sampling localities of the analyzed populations belonging to three Theodoxus species.
fMRI data: Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis
<p>This is the fMRI dataset described in "Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis", bioRxiv (2019).</p> <p>Note that the data consists of already pre-processed volumes, warped into the MNI152 template (see the paper for details) along with the stimulus set. Due to privacy concerns, we cannot provide raw data and access is public but restricted (see 'Conditions' below).</p> <p><strong>Conditions</strong>:</p> <p>In accordance with EU privacy norms, access to the data is granted after submission of a Data Use Agreement (DUA). You can download the DUA <a href="https://zenodo.org/record/4003861">here</a>. Please, sign it and send it to the email adress found at the bottom of the DUA.</p> <p>A description of the aims of your project is appreciated but not required.</p> <p> </p>
Multistable sheets with rewritable patterns for switchable shape-morphing
<p>This dataset contains raw data and images used in "Multistable sheets with rewritable patterns for switchable shape-morphing", published in Nature in September 2023. The Version of Record is available online at: http://dx.doi.org/10.1038/s41586-023-06353-5.</p><p>In this paper we demonstrate "groovy sheets": undulating metasheets which store memories of mechanical stimuli in patterns of self-stabilizing scars. After removing external stimuli, scars persist and force the sheet to switch to sharply selected curved, curled and twisted shapes. These stable shapes can be erased by appropriate forcing, allowing rewritable patterns and repeated and robust actuation. Our strategy is material-agnostic; extendable to other undulation patterns and instabilities; and scale-free, allowing applications from miniature to architectural scales.</p><p>The data in this replication package is organized in one directory for each main figure in the paper. File descriptions are included below.</p><p>---------------------------------------------------------------</p><p>Fig 1: N/A</p><p>Fig 2: </p><p> Fig2d_data.csv. 3D-scanned sheet properties: sheet height profile, curvature data, and local coordinates</p><p> Fig2g_data.csv. Sheet under point forcing: time-force-displacement data</p><p>Fig 3:</p><p> Fig3a_slice_data.csv. 3D-scanned sheet properties: sheet height profile, curvature data, and slice coordinates</p><p> Fig3c_model_node_data.csv. Modeled sheet data: node coordinates at initial and final stages</p><p> Fig3c_model_bond_data.csv. Modeled sheet data: bond coordinates and bond spring types, and final spring strain</p><p> Fig3f_experimental_sheet_shape_data.csv. Experimental twist angle versus sheet width</p><p> Fig3f_numerical_sheetshape_data.csv. Numerical twist angle versus sheet width</p><p>Fig 4: N/A</p><p> </p>
SHAPE datasets from: Cooperativity in RNA chemical probing experiments modulates 2D structural ensembles
<p>Normalized SHAPE reactivity for pre-miR20b and CDE2GG, HIV-1 RRE, and FIRRE as reported in 'Cooperativity in RNA chemical probing experiments modulates RNA 2D structural ensembles'.</p>
A systems immunology approach reveals distinct roles of genetic and non-genetic factors in shaping variation of immune responses in cattle
<p>The VCF file contains 11486822 SNPs from 246 Belgian blue bulls utilized in a genome-wide association study focusing on immunophenotypes.</p>
Bodhgayā, Bihār. Coral; three beads in the shape of shells.
<p>Bodhgayā, Bihār. Coral; three beads in the shape of shells; pierced. British Museum 1892,1103.68 presented by Alexander Cunningham.</p>
Bodhgayā, Bihār. Assemblage of pale pink coral barrel-shaped beads of varying size, including broken fragments.
<p>Bodhgayā, Bihār. Assemblage of pale pink coral barrel-shaped beads of varying size, including broken fragments. British Museum 1892,1103.69 presented by Alexander Cunningham.</p>
Fig. 1 in Does allometry account for shape variability in Ephedrus persicae Froggatt (Hymenoptera: Braconidae: Aphidiinae) parasitic wasps?
Fig. 1 Linear morphometric traits obtained from Ephedrus persicae females; see also Table 2
Fig. 2 in Does allometry account for shape variability in Ephedrus persicae Froggatt (Hymenoptera: Braconidae: Aphidiinae) parasitic wasps?
Fig. 2 Wing landmarks in E. persicae
Shaping the Future The Transformative Potential of AI in Computer Science VET Programs
Open the record for dataset details and reuse information.
Video recordings of "Modular Tangible User Interfaces: Impact of Module Shape and Bonding Strength on Interaction"
<p>We provide the video data recorded during the experiment presented in the publication <a href="https://doi.org/10.1145/3569009.3572731">https://doi.org/10.1145/3569009.3572731</a>.</p> <p>We conducted the first study on how the bonding strength and the shape of modules impact usability during user interaction with modular tangible user interfaces (TUIs). We built six magnetic modular prototypes featuring 6x6x6mm modules with three different levels of bonding strength (low, mid, high) and two different shapes (cubes and rounded cubes). We asked participants to perform eight common tasks found in the HCI literature for (non-)modular TUIs, which are presented in section 3.3 from the publication:</p> <ol> <li>Lift</li> <li>Split one module</li> <li>Split two modules</li> <li>Split a line of modules</li> <li>Split half of the modules</li> <li>Slide parts of the interface</li> <li>Bend the interface</li> <li>Fold the interface</li> </ol> <p><br> Participants performed the manipulations on two types of configuration of modules: a flat configuration (i.e., one layer of 80 modules) or a thick configuration (i.e., two layers on 40 modules each). The video data we provide consists of recordings of the hands of the participants when they perform the tasks with each condition of prototype. The video data we provide consists of recordings of the hands of the participants when they perform the tasks with each condition of prototype.</p> <p>The procedure presented in the video recordings is as follow:<br> <br> The participant sits in front of a table with a delimited manipulation area, with an overhead camera pointing towards the manipulation area. Participants are asked to perform the experiment within the borders of the manipulation area.<br> The experimental software (not shown in the recordings, but in the publication) presents the participants with a picture of a starting State A (e.g., a rectangular block) and a target State B (e.g., the rectangular block split in two halves). Reaching state B only requires the use of one elementary manipulation. There is no indication as to how the UI was grabbed to reach State B, to avoid bias. The experimenter places the first prototype on the manipulation area, mimicking State A. The participant manipulates the prototype to reach State B. The task is repeated three times to allow exploring different strategies. After completion of the task, the participant fills a short questionnaire, which is when a mobile tablet is shown in the recordings. They are then presented with the next task to perform (i.e., new State A and B pictures) while the experimenter presents the next prototype. This procedure is repeated for each manipulation and each condition.</p>
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance
<p>These are codes for the <em>routineness </em>model and its corresponding data, plus a subset of the anonymized and processed data for the prediction models containing 10.000 users.</p> <ul> <li>Data</li> </ul> <ol> <li>dataset.tar.gz — Data for the <em>routineness</em> model, including 151 .parquet files, each of them containing 1,000 anonymized users' hourly behavioural observations.</li> <li>subset_train.csv — A subset of the mobility data for training on prediction models, containing 10,000 anonymized users.</li> <li>subset_test.csv — A subset of the mobility data for testing, containing the same 10,000 anonymized users.</li> </ol> <ul> <li>Code</li> </ul> <ol> <li>routineness.stan — A Stan program, that allowed us to measure the weight of the routine/random behaviours of each individual and to calculate their <em>routineness</em>.</li> <li>run.py — A Python file to run the Stan program. Noted that a package, CmdStanPy, must be installed. Under the hood, CmdStanPy uses the CmdStan command line interface to compile and run a Stan program.</li> </ol>
人物埴輪(伝生野山出土) Human-shaped Haniwa
* 伝本庄市生野山出土の笑う埴輪 * 旧長瀞綜合博物館から寄贈 * 県指定有形文化財(1954年指定) Source: Objaverse 1.0 / Sketchfab
人物埴輪(瓦塚古墳) Human-shaped Haniwa
* 瓦塚古墳から出土した人物埴輪 * 墳丘西側の中堤上に並んでいたと考えられる * 馬を牽く馬子を模した埴輪である Source: Objaverse 1.0 / Sketchfab
鳥形埴輪(瓦塚古墳) Bird-shaped Haniwa
* 瓦塚古墳から出土した水鳥形埴輪 * 西側中堤上に並べられていたと考えられる * 円筒状の台座の上に水鳥がのる Source: Objaverse 1.0 / Sketchfab
Distinct distributions of histone marks shape cell identities of murine hepatic progenitors and adult hepatocytes
GEO Series GSE54029. Mus musculus. 2 samples. Type: Expression profiling by array.
Staphylococcal Enterotoxin A Shapes Monocyte Transcription and Macrophage Polarization: Implications for Immune Responses in Infection and Inflammation
GEO Series GSE310786. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Compartment size and proliferation shape the murine T cell receptor repertoire in splenic T- and B cell zones during an immune response
GEO Series GSE293228. Mus musculus. 72 samples. Type: Expression profiling by high throughput sequencing.
Mucin-enriched microenvironment shapes bacteriophage protection efficacy against Pseudomonas aeruginosa in airway epithelial cells
GEO Series GSE307737. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
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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.