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4,404 results for “digits”
Data from: Misuse of bird digital distribution maps creates reversed spatial diversity patterns in the Amazon
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Constructing a social-behavioral association network to study management impact on waterbird community ecology using digital video recording cameras
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Digital biodiversity datasets reveal breeding phenology and its drivers in a widespread North American mammal
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Using Delaunay triangulation to sample whole-specimen color from digital images
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Data from: LiDAR-derived digital elevation model of Whale's Tail Marsh, San Francisco Bay, 2019
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Five year pediatric use of a digital wearable fitness device: lessons from a pilot case study
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Database of Geographic Information: Hill shade, of the 1:250000 scale Digital Elevation Model of Arizona
This data set is a hill shade, of the 1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.
Digital Elevation Model (AZ 250,000:1)
1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.
A digital archive of human activity in the McMurdo Dry Valleys, Antarctica from 1902 to present
Over the last half century, the McMurdo Dry Valleys (MDV) of East Antarctica have become a globally important site for scientific research and environmental monitoring. Historical data can make important contributions to current research activities and environmental management in Antarctica, but tend to be widely scattered and difficult to access. We address this need in the MDV by compiling over 5,000 historical photographs, sketches, maps, oral interviews, publications, and other archival resources into an online digital archive. The data have been digitized and georeferenced using a standardized metadata structure, which enables intuitive searches and data discovery via an online interface. The ultimate aim of the archive is to create as comprehensive as possible a record of human activity in the MDV to support ongoing research, management, and conservation efforts. This is a valuable tool for scientists seeking to understand the dynamics of change in lakes, glaciers, and other physical systems, as well as humanistic inquire into the history of the Southern continent. In addition to providing benchmarks for understanding change over time, the data can help target field sampling for studies working under the assumption of a pristine landscape by enabling researchers to identify the date and extent of past human activities. The full database is accessible via the McMurdo Dry Valleys Long Term Ecological Research site: http://mcmurdohistory.lternet.edu/.
PIE LTER 2005 Digital elevation model for the Plum Island Sound estuary, Massachusetts, filtered_grd, last filtered grid - Raster
On April 18 and 19, 2005 LIDAR (Light Detection and Radar) flights occured in the lower portion of the Plum Island Sound, Massachusetts estuary and were timed to correspond to low tides to minimize higher tide influences on pulsed returns. The LIDAR survey was conducted by the National Center for Airborne Laser Mapping (NCALM). This data set consists of a one meter Digital Elevation Model (DEM) in ESRI GRID file format based upon last filtered grid (bare-earth) data from the LIDAR flights.
Figure 3 from: Borsch T, Stevens A-D, Häffner E, Güntsch A, Berendsohn WG, Appelhans MS, Barilaro C, Beszteri B, Blattner FR, Bossdorf O, Dalitz H, Dressler S, Duque-Thüs R, Esser H-J, Franzke A, Goetze D, Grein M, Grünert U, Hellwig F, Hentschel J, Hörandl E, Janßen T, Jürgens N, Kadereit G, Karisch T, Koch MA, Müller F, Müller J, Ober D, Porembski S, Poschlod P, Printzen C, Röser M, Sack P, Schlüter P, Schmidt M, Schnittler M, Scholler M, Schultz M, Seeber E, Simmel J, Stiller M, Thiv M, Thüs H, Tkach N, Triebel D, Warnke U, Weibulat T, Wesche K, Yurkov A, Zizka G (2020) A complete digitization of German herbaria is possible, sensible and should be started now. Research Ideas and Outcomes 6: e50675. https://doi.org/10.3897/rio.6.e50675
Figure 3 Mass throughput digitization station designed for museum objects at the Botanic Garden and Botanical Museum Berlin.
Figure 2 from: Borsch T, Stevens A-D, Häffner E, Güntsch A, Berendsohn WG, Appelhans MS, Barilaro C, Beszteri B, Blattner FR, Bossdorf O, Dalitz H, Dressler S, Duque-Thüs R, Esser H-J, Franzke A, Goetze D, Grein M, Grünert U, Hellwig F, Hentschel J, Hörandl E, Janßen T, Jürgens N, Kadereit G, Karisch T, Koch MA, Müller F, Müller J, Ober D, Porembski S, Poschlod P, Printzen C, Röser M, Sack P, Schlüter P, Schmidt M, Schnittler M, Scholler M, Schultz M, Seeber E, Simmel J, Stiller M, Thiv M, Thüs H, Tkach N, Triebel D, Warnke U, Weibulat T, Wesche K, Yurkov A, Zizka G (2020) A complete digitization of German herbaria is possible, sensible and should be started now. Research Ideas and Outcomes 6: e50675. https://doi.org/10.3897/rio.6.e50675
Figure 2 Number of digitized and non-digitized specimens held by 62 herbaria in Germany that were surveyed in 2019 (herbarium abbreviations according to Index Herbariorum).
Figure 1 from: Borsch T, Stevens A-D, Häffner E, Güntsch A, Berendsohn WG, Appelhans MS, Barilaro C, Beszteri B, Blattner FR, Bossdorf O, Dalitz H, Dressler S, Duque-Thüs R, Esser H-J, Franzke A, Goetze D, Grein M, Grünert U, Hellwig F, Hentschel J, Hörandl E, Janßen T, Jürgens N, Kadereit G, Karisch T, Koch MA, Müller F, Müller J, Ober D, Porembski S, Poschlod P, Printzen C, Röser M, Sack P, Schlüter P, Schmidt M, Schnittler M, Scholler M, Schultz M, Seeber E, Simmel J, Stiller M, Thiv M, Thüs H, Tkach N, Triebel D, Warnke U, Weibulat T, Wesche K, Yurkov A, Zizka G (2020) A complete digitization of German herbaria is possible, sensible and should be started now. Research Ideas and Outcomes 6: e50675. https://doi.org/10.3897/rio.6.e50675
Figure 1 Proportion of digitized specimens in the surveyed herbaria in Germany (left) and proportion of image and text data digitization vs. "text data only" (data) among the digitized specimens (right).
44444-digits Automorphic Numbers
<p>In this folder, you can find the two 44444-digits automorphic numbers I computed to solve a riddle in my lab.</p> <p>Even if it was a purely funny exercise, I believe these numbers can be useful for both researchers and practitioners.</p> <p>There are two files:</p> <ul> <li>number-of-5-sequence.txt</li> <li>number-of-6-sequence.txt</li> </ul> <p>The first file contains the 44444-digits number of the 5-sequence, whilst the second contains the number of the 6-sequence.</p> <p>Both files start with the most significant digit and end with the least significant digit, respectively 5 and 6.</p> <p>In this blog post, I describe more in detail the approach I used to compute those numbers: https://www.salatino.org/wp/computing-automorphic-numbers/</p>
Sources and types of errors in digital archaeological data
<p>Sources and types of errors in data collection and compilation, data processing and data usage that result in final global error, adapted and modified from Hunter and Beard 1992</p>
Orthoimages and digital surface models of the largest Argentine Islands in the Antarctic by UAV photogrammetry
<p>These data contain photogrammetrical data collected by unmanned aerial vehicle (UAV) from February to March 2018 in the Argentine Islands, Wilhelm Archipelago, West Antarctica. The data include processed data (orthoimages and digital surface models) with the Structure-fom-Motion photogrammetrical software Agisoft Metashape. Data are cropped by the outlines of islands.</p> <p>Data are organized by the name of the surveyed island.</p> <p>The coordinate system used is UTM Zone 20S based on WGS84.</p> <p>The data are related to the article "High-resolution orthophoto map and digital surface models of the largest Argentine Islands (the Antarctic) from unmanned aerial vehicle photogrammetry", Lamsters, K., Karušs, J., Krievāns, M., Ješkins, J., 2020. Journal of Maps. https://doi.org/10.1080/17445647.2020.1748130</p>
FIG. 9 in The modern ontological natures of the Cairina moschata (Linnaeus, 1758) duck. Cases from Perú, the northern hemisphere, and digital communities
FIG. 9. — Domestic Cairina moschata (Linnaeus, 1758) in the United States (photos Sarah Fullerton): A, female Muscovy and ducklings; B, wooden nest box.
FIG. 8 in The modern ontological natures of the Cairina moschata (Linnaeus, 1758) duck. Cases from Perú, the northern hemisphere, and digital communities
FIG. 8. — Cairina moschata (Linnaeus, 1758) and turkey (Meleagris gallopavo Linnaeus, 1758) in Georgia, United States (photo Brian Brown).
FIG. 7 in The modern ontological natures of the Cairina moschata (Linnaeus, 1758) duck. Cases from Perú, the northern hemisphere, and digital communities
FIG. 7. — Processed domestic bird bodies sold in Mayorista market, Trujillo (photos Jorge Gamboa). A, Gallus gallus domesticus (Linnaeus, 1758); B, Cairina moschata (Linnaeus, 1758).
FIG. 10 in The modern ontological natures of the Cairina moschata (Linnaeus, 1758) duck. Cases from Perú, the northern hemisphere, and digital communities
FIG. 10. — Cairina moschata (Linnaeus, 1758) females and drake in Missouri, United States (photo Cassandra Everly).
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.