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4,404 results for “digits”
Figure 1 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 1 Schematic setup (A) and image (B) of the Darmstadt Insect Scanner DISC3D.
Figure 6 from: Ströbel B, Schmelzle S, Blüthgen N, Heethoff M (2018) An automated device for the digitization and 3D modelling of insects, combining extended-depth-of-field and all-side multi-view imaging. ZooKeys 759: 1-27. https://doi.org/10.3897/zookeys.759.24584
Figure 6 Calibration sphere (A) and camera positions estimated in PhotoScan Pro (B).
Figure 1 from: Corgosinho PHC, Kihara TC, Schizas NV, Ostmann A, Arbizu PM, Ivanenko VN (2018) Traditional and confocal descriptions of a new genus and two new species of deep water Cerviniinae Sars, 1903 from the Southern Atlantic and the Norwegian Sea: with a discussion on the use of digital media in taxonomy (Copepoda, Harpacticoida, Aegisthidae). ZooKeys 766: 1-38. https://doi.org/10.3897/zookeys.766.23899
Figure 1 Sampling locations around Iceland (middle) and South Atlantic Ocean (right).
Rotation Equivariant CNNs for Digital Pathology
<p>The PatchCamelyon benchmark is a new and challenging image classification dataset. It consists of 327.680 color images (96 x 96px) extracted from histopathologic scans of lymph node sections. Each image is annoted with a binary label indicating presence of metastatic tissue. PCam provides a new benchmark for machine learning models: bigger than CIFAR10, smaller than imagenet, trainable on a single GPU.</p>
A scale-aware parameterization for estimating subgrid variability of downward solar radiation using high-resolution Digital Elevation Model data
<p>This is a statement on the shared data of the manuscript 'A scale-aware parameterization for estimating subgrid variability of downward solar radiation using high-resolution Digital Elevation Model data'</p> <p>Folder Codes includes scripts for plotting all figures of the manuscript.</p> <p>Folder grids includes all the data that are required by scripts in plotting.</p> <p><br> Contact information:<br> Siwei He<br> NOAA/ERSL/GSD<br> 325 Broadway<br> Boulder, CO 80305<br> hesiweide@gmail.com <br> </p>
Ecological Modelling of the Macaronesian-Mediterranean Junipers (Juniperus L. Sect. Juniperus) and conservation of the near-endemic tree Juniperus navicularis Gand. - Digital Annex
<p>Digital Annex for the following thesis:</p> <p>Ferreira, C. (2024) Ecological Modelling of the Macaronesian-Mediterranean Junipers (<em>Juniperus </em>L. Sect. <em>Juniperus</em>) and conservation of the near-endemic tree <em>Juniperus navicularis</em> Gand.</p> <p>Abstract:</p> <p><em>Juniperus </em>L. Sect. <em>Juniperus </em>is a genus in the Cupressaceae family that includes species found in the Macaronesian and Mediterranean regions, known as needle leaved junipers. </p> <p>In this study we approached the near endemic <em>J. navicularis</em>, by reviewing its nomenclatural history and applying Species Distribution Models to infer its future suitable areas in the Iberian Peninsula to inform conservation policies of this Near Threatened (IUCN) tree.</p> <p>We then applied a deeper spatial analysis with a past-to-future narrative, by hindcasting (since the last interglacial period, 130 Kyrs) and forecasting (up to the year 2100) the distribution of eight taxa inside Section <em>Juniperus</em>, using Species Distribution Models to explore their biogeographical and ecological dynamics, inferring about the main ecological drivers that shaped their distribution across eleven periods (seven past, current and three future scenarios). </p> <p>Results vary significantly between species. Models applied at a fine-scale (1 km) resolution and a wide range of bioclimatic and edaphic variables, for<em> J. navicularis</em>' show a major decline by 2070, followed by a slight increase of suitable area towards northern latitudes by 2100. This contrasts with Chapter 4, when using a coarser resolution (10 km) and a different variable set, where overall trends reflect global contractions across several species.</p> <p>Results evidenced by the multispecies approach show an increase in the suitability areas for <em>J. deltoides</em>, while the Macaronesian <em>J. brevifolia</em> and <em>J. cedrus</em> maintaining their areas, with the remaining <em>J. cedrus</em> subsp. <em>maderensis</em>, suffering slight decrease of suitability in the lower areas of the Madeira Island. Significant contractions were observed for the remaining continental junipers. </p> <p>Finally, we discuss our results and findings considering the need to implement conservation measures to ensure the long-term survival of these species, and the importance of their forests in a growing dryer environment were they behave as pioneer species and foundational species.</p>
Datos Anomia Digital
<p><span><span><span>Database on children aged 10-17 years that measures the risks of the Internet, social networks and digital devices, as well as the perception of the seriousness of these risks.</span></span> <span><span>The data correspond to 7 different samples in the Basque Country, Navarra, Cantabria, Galicia, Community of Madrid, Italy and Greece.</span></span></span></p>
Demonstration of Digital Twin-Enabled Collision Mitigation for Path Constrained Applications
<p>This video presents a depiction of each robot and their surrounding environment in <em>RViz</em>, along with a video recording of both robots. It also features a monitor of the output from the <em>Collision Zones FMU</em>.</p>
Figure 1 from: Bernstein A, Moore RS, Rhee LQ, Aronson DL, Katz DL (2021) A digital dietary assessment tool may help identify malnutrition and nutritional deficiencies in hospitalized patients. Research Ideas and Outcomes 7: e70642. https://doi.org/10.3897/rio.7.e70642
Figure 1 Diet ID user experience via laptop, tablet, or mobile phone.
Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data
<p>Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data</p>
Rediscovery of the greater chestnut weevil highlights the power of digital platforms in biodiversity research and conservation
Open the record for dataset details and reuse information.
Figure 1 from: Tulig M, Tarnowsky N, Bevans M, Kirchgessner A, Thiers B (2012) Increasing the efficiency of digitization workflows for herbarium specimens. ZooKeys 209: 103-113. https://doi.org/10.3897/zookeys.209.3125
Figure 1 - Digitization workflows at The New York Botanical Garden over the past 17 years.
Figure 6 from: Nelson G, Paul D, Riccardi G, Mast A (2012) Five task clusters that enable efficient and effective digitization of biological collections. ZooKeys 209: 19-45. https://doi.org/10.3897/zookeys.209.3135
Figure 6 - Dominant Digitization Workflows Observed.
Figure 7 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 7 - Number of damaged specimens per month.
Figure 5 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 5 - Specimens digitised per month.
Figure 9 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 9 - Number of workstation hours per day.
Figure 1 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 1 - Database for entry of image metadata.
Figure 4 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 4 - Workstation hours per month.
Figure 3 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 3 - An example of a specimen and label image, in this case a hawk moth.
Figure 8 from: Flemons P, Berents P (2012) Image based Digitisation of Entomology Collections: Leveraging volunteers to increase digitization capacity. ZooKeys 209: 203-217. https://doi.org/10.3897/zookeys.209.3146
Figure 8 - Number of specimens digitised per workstation hour.
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.