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2,359 results for “online”
Data from: Two new species of Limbodessus diving beetles from New Guinea - short verbal descriptions flanked by online content (digital photography, μCT scans, drawings and DNA sequence data)
Background: To date only one species of Limbodessus diving beetles has been reported from the Island of New Guinea, L. compactus (Clark, 1862), which is widerspread in the Australian region. New information: We describe two new species of microendemic New Guinea Limbodessus and use a compact descriptive format flanked by enriched online content in wiki powered species pages. Limbodessus baliem sp.n. is described from ca. 1,600 m altitude in the Baliem Valley of Papua and Limbodessus alexanderi sp.n. from >3,000 m altitude north of Sugapa, Papua. Based on our analysis, we also transfer three species from other genera to Limbodessus Guignot, 1939, with the following changes: Limbodessus deflectus (Ordish, 1966), new combination; Limbodessus leveri (J. Balfour-Browne, 1944), new combination; and Limbodessus plicatus (Sharp, 1882), new combination.
Data from: Evolutionary online behaviour learning and adaptation in real robots
Online evolution of behavioural control on real robots is an open-ended approach to autonomous learning and adaptation: robots have the potential to automatically learn new tasks and to adapt to changes in environmental conditions, or to failures in sensors and/or actuators. However, studies have so far almost exclusively been carried out in simulation because evolution in real hardware has required several days or weeks to produce capable robots. In this article, we successfully evolve neural network-based controllers in real robotic hardware to solve two single-robot tasks and one collective robotics task. Controllers are evolved either from random solutions or from solutions pre-evolved in simulation. In all cases, capable solutions are found in a timely manner (1 h or less). Results show that more accurate simulations may lead to higher-performing controllers, and that completing the optimization process in real robots is meaningful, even if solutions found in simulation differ from solutions in reality. We furthermore demonstrate for the first time the adaptive capabilities of online evolution in real robotic hardware, including robots able to overcome faults injected in the motors of multiple units simultaneously, and to modify their behaviour in response to changes in the task requirements. We conclude by assessing the contribution of each algorithmic component on the performance of the underlying evolutionary algorithm.
Data from: Comparison of Nottingham Prognostic Index and Adjuvant Online prognostic tools in young women with breast cancer: review of a single-institution experience
Objective: Accurately predicting the prognosis of young patients with breast cancer (<40 years) is uncertain since the literature suggests they have a higher mortality and that age is an independent risk factor. In this cohort study we considered two prognostic tools; Nottingham Prognostic Index and Adjuvant Online (Adjuvant!), in a group of young patients, comparing their predicted prognosis with their actual survival. Setting: North East England. Participants: Data was prospectively collected from the breast unit at a Hospital in Grimsby between January 1998 and December 2007. A cohort of 102 young patients with primary breast cancer was identified and actual survival data was recorded. The Nottingham Prognostic Index and Adjuvant! scores were calculated and used to estimate 10-year survival probabilities. Pearson's correlation coefficient was used to demonstrate the association between the Nottingham Prognostic Index and Adjuvant! scores. A constant yearly hazard rate was assumed to generate 10-year cumulative survival curves using the Nottingham Prognostic Index and Adjuvant! predictions. Results: Actual 10-year survival for the 92 patients who underwent potentially curative surgery for invasive cancer was 77.2% (CI 68.6% to 85.8%). There was no significant difference between the actual survival and the Nottingham Prognostic Index and Adjuvant! 10-year estimated survival, which was 77.3% (CI 74.4% to 80.2%) and 82.1% (CI 79.1% to 85.1%), respectively. The Nottingham Prognostic Index and Adjuvant! results demonstrated strong correlation and both predicted cumulative survival curves accurately reflected the actual survival in young patients. Conclusions: The Nottingham Prognostic Index and Adjuvant! are widely used to predict survival in patients with breast cancer. In this study no statistically significant difference was shown between the predicted prognosis and actual survival of a group of young patients with breast cancer.
Simulation data for WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions
<p>This repository provides the test simulation data for "WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions" published in Geoscientific Model Development. The configurations for sensitivity experiments are described in this paper. Please contact the corresponding author Tzung-May Fu (fuzm@sustech.edu.cn) for more details.</p>
What Makes Sports Fans Interactive? Identifying Factors Affecting Chat Interactions in Online Sports Viewing
<p> </p> <p> </p> <p><strong>1. Chat message data</strong></p> <p>- kbo2011_naverbasevall_comment.sql: chat messages in Naver Sports that users posted in 2011<br /> - kbo2012_naverbasevall_comment.sql: chat messages in Naver Sports that users posted in 2012</p> <p>Each MySQL table consists of the following six columns.<br /> 1. comment_id: Integer variable to identify each comment<br /> 2. gid: Integer variable to identify each game<br /> 3. uid: Integer variable to identify each user<br /> 4. category_id: A team name that a user selected when a chat message is posted<br /> 5. content: Chat message text<br /> 6. post_time_relative: Elapsed seconds since the game starts</p> <p> </p> <p><strong>2. KBO game information</strong></p> <p>- game_basic.sql: KBO game information in 2011/2012<br /> <br /> (This data was collected from here, http://sports.news.naver.com/schedule/index.nhn?uCategory=&category=kbo&year=2010&month=03)</p> <p>This MySQL table consists of the following 12 columns.<br /> 1. gid: Integer variable to identify each game<br /> 2. game: Game ID used in Naver Sports<br /> 3. year: year of the game play<br /> 4. month: month of the game play<br /> 5. date: date of the game play<br /> 6. time: time of the game play<br /> 7. day: day of the game play<br /> 8. team_away: name of the away team<br /> 9 team_home: name of the home team<br /> 10. score_away: score by the away team<br /> 11. score_home: score by the home team<br /> 12. location: location of the game play</p> <p> </p> <p><strong>3. KBO game play-by-play data </strong></p> <p>- game_playbyplay.sql: playbyplay data in 2011/2012</p> <p>(This data was collected from Naver Sports; EX, http://sports.news.naver.com/gameCenter/gameRecord.nhn?category=kbo&gameId=20100327HHSK0)</p> <p>This MySQL table consists of the following 21 columns.</p> <p>1. play_no: Integer variable to identify each play<br /> 2. gid: Integer variable to identify each game<br /> 3. inning: inning of the play<br /> 4. pitcher: current pitcher name<br /> 5. batter: current batter name<br /> 6. batter_no: current batter order<br /> 7. pitch: the pitch result<br /> 8. strike: current number of strikes<br /> 9. ball: current number of balls<br /> 10. out_cnt: current number of outs<br /> 11. score_home: current score of the home team<br /> 12. score_away: current score of the away team<br /> 13. 1st_base: player name on the 1st base <br /> 14. 2nd_base: player name on the 2nd base<br /> 15. 3rd_base: player name on the 3rd base<br /> 16. runner_state: overall state of the three bases (ex: 1 --> A player is on 1st base, but 2nd and 3rd bases are empty, 13 --> Two players are on 1st and 3rd bases respectively, but 2nd base is empty)<br /> 17. runner_cnt: the number of players on bases<br /> 18. result_r: r by this play<br /> 19. result_rbi: rbi by this play<br /> 20. result_score_home: total home score after this play<br /> 21. result_score_away: total away score after this play</p> <p> </p> <p><strong>4. Winning rate data </strong></p> <p>- game_winrate.sql: winning rates of the home/away teams for an inning</p> <p>(This data is calculated based on the playbyplay data. For the details, please refer to our paper--currently under review)</p> <p>This MySQL table consists of the following 21 columns.</p> <p>1. play_no: Integer variable to identify each play<br /> 2. gid: Integer variable to identify each game<br /> 3. inning: inning of the play<br /> 4. away_win: probability that the away team will win this game<br /> 5. draw: probability that the game will finish a tie<br /> 6. home_win: probability that the home team will win this game</p> <p> </p> <p>If you have any question about the dataset, please contact Minsam Ko (msko@kaist.ac.kr).</p>
An Architecture-aware Approach to Hierarchical Online Failure Prediction
<p>Supplementary material for the paper:</p> <p>"An Architecture-aware Approach to Hierarchical Online Failure Prediction".</p> <p>Included in the supplementary material are:</p> <ul> <li>Architectural Dependency Model (ADM): the ADM used in the evaluation (exported to yml format).</li> <li>Failure Propagation Model (FPM): the structure of the FPM and the corresponding conditional probability tables.</li> <li>Proof-of-concept implementation of Hora, including instruction of how to build, run, and analyze the results. Note: Hora currently works only on Linux due to a limitation in R bridge for Windows.</li> <li>Evaluation results of two failure scenarios; memory leak, system overload and the overall result.</li> </ul> <p>Additionally, the following datasets used in the experiment are also provided:</p> <ul> <li>35-SystemOverload.zip</li> <li>36-MemoryLeak.zip</li> </ul>
An Efficient Implementation of Online Arithmetic -- Data set
<p>This is the released dataset for 'An Efficient Implementation of Online Arithmetic'</p>
Online Appendix for "An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects"
<p>Here we collect some raw data and additional material to the paper <em>"An Exploratory Study of the State of Practice of Performance Testing in Java-Based Open Source Projects"</em>, by Philipp Leitner and Cor-Paul Bezemer.</p>
FIGURE 37 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURE 37. Lower part of the Maximum Likelihood inference phylogram, upper part of which is depicted on Fig. 36. HT: holotype.
FIGURES 25 – 34 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURES 25 – 34. Syncosmetus stheno sp. nov., male holotype from Jizu Shan (Figs. 25 – 27): (25) dorsal view; (26) lateral view; (27) ventral view. Pregenital segment and aedeagus of a paratype from Jizu Shan (Figs. 28 – 30): (28) sternite VIII; (29) tegmen; (30) penis. Male paratype from Gaoligong Shan (Figs. 31 – 34): (31) dorsal view; (32) sternite VIII; (33) tegmen (left) still joined with basal piece (= phallobase; right) through membranes; (34) penis. The apices of sclerites of male abdominal terminalia are oriented to the left. Scale bars: 0.5 mm (Figs. 25 – 27, 31); 0.1 mm (Figs. 28 – 30, 32 – 34).
FIGURES 15 – 21 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURES 15 – 21. Syncosmetus medusa sp. nov., male holotype from Emei Shan (Figs. 15 – 17): (15) dorsal view; (16) lateral view, with arrow showing first two elytral keels diverging close to elytral base; (17) ventral view. Pregenital segment and aedeagus of a paratype from the type locality (Figs. 18 – 21): (18) sternite VIII; (19) tegmen; (20) basal piece (= phallobase); (21) penis. The apices of sclerites of male abdominal terminalia are oriented to the left. Scale bars: 0.5 mm (Figs. 15 – 17); 0.1 mm (Figs. 18 – 21).
FIGURES 7 – 14 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURES 7 – 14. Syncosmetus euryale sp. nov., male holotype (Figs. 7 – 8) from Gaoligong Shan: (7) dorsal view; (8) lateral view, with large arrow showing the first longitudinal elytral keel extending to about the middle of elytral edge, and small numbered arrows referring to the counting system of elytral keels used in the present work; (9) ventral view; (10) female paratype from Haba Shan. Pregenital segment and aedeagus of a paratype from the type locality (Figs. 11 – 14): (11) sternite VIII; (12) tegmen; (13) basal piece (= phallobase); (14) penis. The apices of sclerites of male abdominal terminalia are oriented to the left. Scale bars: 0.5 mm (Figs. 7 – 10); 0.1 mm (Figs. 11 – 14).
FIGURE 36 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURE 36. Upper part of the Maximum Likelihood inference phylogram obtained by using the Maximum Likelihood method based on the General Time Reversible model and using 185 DNA barcodes. The tree with the highest log likelihood is shown. The percentage of trees in which the associated taxa clustered together (= bootstrap) is shown next to the branches.
FIGURES 22 – 24 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURES 22 – 24. Syncosmetus perseus sp. nov., female holotype from Gongga Shan: (22) dorsal view; (23) lateral view, with arrow showing united apices of second and third elytral keels; (24) ventral view. Scale bar: 0.5 mm (Figs. 22 – 24).
FIGURES 1 – 6 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURES 1 – 6. Scolytocis danae sp. nov., male holotype from Gaoligong Shan: (1) dorsal view; (2) lateral view; (3) ventral view. Aedeagus of the holotype (Figs. 4 – 6): (4) tegmen; (5) basal piece (= phallobase); (6) penis. The apices of sclerites of male abdominal terminalia are oriented to the left. Scale bars: 0.5 mm (Figs. 1 – 3); 0.1 mm (Figs. 4 – 6).
FIGURE 35 in First record and five new species of Xylographellini (Coleoptera: Ciidae) from China, with online DNA barcode library of the family
FIGURE 35. Known distribution of Xylographellini beetles in the Palaearctic Region outside of Japan.
FIGURE 47 in Illustrated and online catalog of type specimens of freshwater fishes in the Colección de Peces Dulceacuícolas of Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-P), Colombia
FIGURE 47. Holotype of Rivulus (Cynodonichthys) xi, IAvH-P 11258, 55.6 mm SL (scale bar = 1 cm). Photograph by C. DoNascimiento.
FIGURE 43 in Illustrated and online catalog of type specimens of freshwater fishes in the Colección de Peces Dulceacuícolas of Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-P), Colombia
FIGURE 43. Holotype of Laimosemion leticia, IAvH-P 12943, 21.1 mm SL (scale bar = 1 cm). Photograph by C. DoNascimiento.
FIGURE 42 in Illustrated and online catalog of type specimens of freshwater fishes in the Colección de Peces Dulceacuícolas of Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-P), Colombia
FIGURE 42. Paratype of Cichlasoma orinocense, IAvH-P 10561, 82.2 mm SL (scale bar = 1 cm). Photograph by M. H. Sabaj Pérez.
FIGURE 44 in Illustrated and online catalog of type specimens of freshwater fishes in the Colección de Peces Dulceacuícolas of Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-P), Colombia
FIGURE 44. Holotype of Rivulus (Cynodonichthys) azurescens, IAvH-P 11255, 57.4 mm SL (scale bar = 1 cm). Photograph by C. DoNascimiento.
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.