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1,961 results for “Sensing”
FIGURES 5–12 in Antennal sense cone variation in Teuchothrips species of New Caledonia, with one new generic combination (Thysanoptera, Phlaeothripinae)
FIGURES 5–12. Teuchothrips and Neocecidothrips. (5) T. ornatus head (LAM5607). N. pacificus holotype 6–12: (6) head; (7) fore tibia & tarsus; (8) antenna; (9) mesonotum, metanotum & pelta. (10) head & pronotum; (11) pronotum; (12) prosternum.
FIGURES 1–4 in Antennal sense cone variation in Teuchothrips species of New Caledonia, with one new generic combination (Thysanoptera, Phlaeothripinae)
FIGURES 1–4. Heads of paratypes of Teuchothrips species. (1) cleistanthi; (2) kraussi; (3) ornatus; (4) noumeaensis.
Mathematical difficulties in ADHD do not originate from the visual number sense
<p>All the details are described in the excel file.</p>
IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing
<p>Wi-Fi CSI datasets and Python evaluation scripts to generate plots from our paper 'IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing', to appear at the 43rd IEEE Symposium on<br> Security and Privacy (S&P), 2022.</p>
Bird observation data for: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds
<p>This data repository contains the bird observation data used in Koma, Z., Seijmonsbergen, A.C., Grootes, M.W., Nattino, F., Groot, J., Sierdsema, H., Foppen, R. & Kissling, W.D. (2022): Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds. <em>Diversity and Distributions</em> 28: 685–699.</p> <p>The content of this directory is shared under Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0, see https://creativecommons.org/licenses/by-nc-nd/4.0/). For accessing the bird occurrence data for further use then reproducing this article you can contact with Henk Sierdsema (Henk.Sierdsema@sovon.nl) and Ruud Foppen (Ruud.Foppen@sovon.nl) for further information.</p>
Dataset for canopy sensing in orchards and vineyards
<p>Data collected with the sensors:</p> <ul> <li> <p>OAK-D-POE Camera</p> </li> <li> <p>GP-808G GNSS receiver</p> </li> <li> <p>Hokuyo UST-10lx LiDAR</p> </li> </ul> <p>The dataset is composed of three different collections: two in orchards and one in vineyards.</p>
Cultivating scientific literacy and a sense of place through course-based urban ecology research
<p>Undergraduate research experiences have been shown to increase engagement, improve learning outcomes, and enhance career development for students in ecology. However, these opportunities may not be accessible to all students, and incorporating inquiry-based research directly into undergraduate curricula may help overcome barriers to participation and improve representation and inclusion in the discipline. The shift to online instruction during the COVID-19 pandemic has imposed even greater challenges for providing students with authentic research experiences, but the pandemic may also provide a unique opportunity for creative projects conducted remotely. In this paper, I describe a course-based undergraduate research experience (CURE) designed for an upper-level ecology course at California State University, Dominguez Hills during remote learning. The primary focus of student-led research activities was to explore the potential impacts of the depopulation of campus during the pandemic on urban coyotes (<em>Canis latrans</em>), of which there were increased sightings reported during this time. Students conducted two research studies, including an evaluation of urban wildlife activity, behavior, and diversity using camera traps installed throughout campus and an analysis of coyote diet using data from scat dissections. Students used the data they generated and information from literature reviews, class discussions, and meetings with experts to develop a coyote monitoring and management plan for our campus and create posters to educate the public. Using campus as a living laboratory, I aimed to engage students in meaningful research while cultivating a sense of place, despite being online. Students' research outcomes and responses to pre- and post-course surveys highlight the benefits of projects that are anchored in place-based education and emphasize the importance of ecological research for solving real-word problems. CUREs focused on local urban ecosystems may be a powerful way for instructors to activate ecological knowledge and capitalize on the cultural strengths of students at urban universities.</p>
Data for "Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen"
<p>This record contains data pertaining to the publication "Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen".</p>
Source data for "Membrane curvature sensing and symmetry breaking of the M2 proton channel from Influenza A"
<p>Data files for Figures 2 and 3. </p>
Data for Optimization of Printed Polyaniline Composites for Gas Sensing Applications
<p>Free available dataset for the publication in MDPI Sensors with the title: "Optimization of Printed Polyaniline Composites for Gas Sensing Applications"</p>
Remotely Sensing River Greenhouse Gas Exchange Velocity Using the SWOT Satellite
<p>Scripts and results for our "Remotely Sensing River Greenhouse Gas Exchange Velocity Using the SWOT Satellite" manuscript.</p> <p>Consult the README file for a more detailed description of the data, results, and scripts.</p>
Data from: A single residue confers selective loss of sugar sensing in wrynecks
<p>Sensory receptors evolve, and changes to their response profiles can directly impact sensory perception and affect diverse behaviors, from mate choice to foraging decisions. Although receptor sensitivities can be highly contingent on changes occurring early in a lineage's evolutionary history, subsequent shifts in a species' behavior and ecology may exert selective pressure to modify and even reverse sensory receptor capabilities. Neither the extent to which sensory reversion occurs, nor the mechanisms underlying such shifts is well understood. Using receptor profiling and behavioral tests, we uncover both an early gain and an unexpected subsequent loss of sugar sensing in woodpeckers and wrynecks, members of the primarily insectivorous Picidae family of landbirds. Our analyses show that, similar to hummingbirds and songbirds, the ancestors of woodpeckers repurposed their T1R1-T1R3 savory receptor to detect sugars. Importantly, whereas woodpeckers seem to have broadly retained this ability, our experiments demonstrate that wrynecks (an enigmatic ant-eating group sister to all other woodpeckers) selectively lost sugar sensing through a novel mechanism involving a single amino acid change in the T1R3 transmembrane domain. The identification of this molecular microswitch responsible for a sensory shift in taste receptors provides an example of the molecular basis of a sensory reversion in vertebrates and offers novel insights into structure-function relationships during sensory receptor evolution.</p>
Data set to Remote sensing-supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem
<p>This data set is part of the article Wraase et al. (2022): Remote sensing -supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem. Remote sensing in Ecology and Conservation. (https://doi.org/10.1002/RSE2.303)</p> <p>The repository contains a Readme file ("readme.txt") and two additional folders labeled: “input data” and “script”.<br> <br> The first folder contains 13 data files further divided into three subfolders “cca_analysis”, “main_modelling_prc_texture_idx” and “vectors”. Data formats are .csv format for all tables, .rds files for model objects from R and .shp format for all vector data.</p> <p>The second folder contains all 31 R-scripts necessary to do the analysis, as described in the article. Additionally, the folder is further categorized into five subfolders equivalent to the main analysis operations: “cca_analysis”, “landsat_temp_modelling”, “main_modelling_prc”, “maxent” and “texture_idx”.</p>
Dataset of FP7 projects related to remote sensing
<p>A dataset for R data analysis and article.</p>
Dataset of H2020 projects related to remote sensing
<p>dataset for R data analysis and article.</p>
Structural dynamics of DNA strand break sensing by PARP-1 at a single-molecule level
<p><span>Single-stranded breaks (SSBs) are the most frequent DNA lesions threatening genomic integrity. A highly kinked DNA structure in complex with human PARP-1 domains led to the proposal that SSB sensing in Eukaryotes relies on dynamics of both the broken DNA double helix and PARP-1's multi-domain organization. Here, we directly probe this fundamental yet poorly understood process at the single-molecule level. Quantitative smFRET and structural ensemble calculations reveal how PARP-1's N-terminal zinc fingers convert DNA SSBs from a largely unperturbed conformation, via an intermediate state into the highly kinked DNA conformation. Our data suggest an induced fit mechanism via a multi-domain assembly cascade that drives SSB sensing and stimulates an interplay with the scaffold protein XRCC1 orchestrating subsequent DNA repair events. Interestingly, a clinically used PARP-1 inhibitor Niraparib shifts the equilibrium towards the unkinked DNA conformation, whereas the inhibitor EB47 stabilizes the kinked state. </span></p>
FIGURES 49–57. Odontocheila microptera nom. nov. 49–51 in Taxonomic and nomenclatorial revision within the Neotropical genera of the subtribe Odontocheilina W. Horn in a new sense-19. Odontocheila microptera nom. nov., a new replacement name for O. euryoides W. Horn, 1922, and lectotype designation of O. nitidicollis (Dejean, 1825) (Coleoptera: Cicindelidae)
FIGURES 49–57. Odontocheila microptera nom. nov. 49–51—atrophic thoracic wings: 49–50—♀, Uruguay, Tacuarembo (CCJM); 51—♂, HT (SDEI); 52–54—pronotum: 52—♂, HT (SDEI); 53—♂, Uruguay, Tacuarembo (CCJM); 54—♀, Argentina, Estancia San Noria (BMNH); 55–57—male aedeagi: 55—HT (SDEI); 56–57—Uruguay, Tacuarembo (CCJM). Bars = 1 mm.
FIGURES 30–36. Odontocheila microptera nom. nov. 30–32 in Taxonomic and nomenclatorial revision within the Neotropical genera of the subtribe Odontocheilina W. Horn in a new sense-19. Odontocheila microptera nom. nov., a new replacement name for O. euryoides W. Horn, 1922, and lectotype designation of O. nitidicollis (Dejean, 1825) (Coleoptera: Cicindelidae)
FIGURES 30–36. Odontocheila microptera nom. nov. 30–32—habitus: 30—♂, 9.5 mm, "Brasilia", HT (SDEI); 31—♂, 11 mm, Uruguay, Tacuarembo (CCJM ex DBCN); 32—♀, 10.2 mm, Argentina, Estancia San Noria (BMNH); 33–36—elytron: 33—♂, HT (SDEI); 34—♂, Uruguay, Tacuarembo (CCJM); 35—♀, ibid., (CCJM); 36—♀, Bahia (MFNB). Bar = 1 mm.
FIGURES 23–29. Odontocheila nitidicollis Dejean. 23–24 in Taxonomic and nomenclatorial revision within the Neotropical genera of the subtribe Odontocheilina W. Horn in a new sense-19. Odontocheila microptera nom. nov., a new replacement name for O. euryoides W. Horn, 1922, and lectotype designation of O. nitidicollis (Dejean, 1825) (Coleoptera: Cicindelidae)
FIGURES 23–29. Odontocheila nitidicollis Dejean. 23–24—pronotum: 23—♂, LT (MNHN); 24—♂, ex Dejean-Chaudoir, PLT (MNHN); 25–29—male aedeagi: 25—LT (MNHN); 26a—ex Dejean-Chaudoir, PLT (MNHN); 26b—ditto, ventral view; 27—Brazil, Barra do Carças (CMHP); 28—Bolivia, Santa Cruz, Alta Vista (COSJ); 29—showing internal sac, Bolivia, Reyes (CCJM). Bars = 1 mm.
FIGURES 1–9. Odontocheila nitidicollis Dejean. 1–3 in Taxonomic and nomenclatorial revision within the Neotropical genera of the subtribe Odontocheilina W. Horn in a new sense-19. Odontocheila microptera nom. nov., a new replacement name for O. euryoides W. Horn, 1922, and lectotype designation of O. nitidicollis (Dejean, 1825) (Coleoptera: Cicindelidae)
FIGURES 1–9. Odontocheila nitidicollis Dejean. 1–3—habitus: 1—♂, 11 mm, "Brasil" ex Dejean-Chaudoir, LT (MNHN); 2—♂, 10.2 mm, Paraguay, Estancia Terrado (CCJM); 3—♀, 11.3 mm, Bolivia, Concepcion (CCJM); 4–9—elytron: 4—♂, LT (MNHN); 5—♂, Brazil, Barra do Carças (CMHP); 6—♂, ex Dejean-Chaudoir, PLT (MNHN); 7—♂, Paraguay, Estancia Terrado (CCJM); 8—♀, Bolivia, San Borja (CCJM); 9—♀, Brazil, Barra do Carças (CMHP). Bar = 1 mm.
ScienceDex guides
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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.