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Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh
<p>Contains figures used in + the data with scripts to generate figures for the manuscript (in preparation)</p> <p>Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh</p>
The Politecnico di Torino rolling bearing test rig: description of the open-access data for vibration monitoring and diagnostics
<p>Accelerometric measurements from the rolling bearing test rig of the Dynamic and Identification Research Group (DIRG), Department of Mechanical and Aerospace Engineering, Politecnico di Torino.</p> <p>Goals:</p> <p> • Vibration Monitoring, Bearing Diagnostics, Damage detection, Damage localization, Damage classification, Damage assessment.</p> <p>Features:</p> <p> • high-speed spindle driving a hollow shaft supported by a couple of identical roller bearings B1 and B3. B1 is the bearing under analysis and features various damages.</p> <p> • two damage types (indentations on a roller and on the inner ring) and severities (0, 150, 250, 450 µm).</p> <p> • a central, larger roller bearing (B2) is loaded through a sledge generating a controlled radial force measured by a load cell.</p> <p> • lubrication is obtained by oil injection into the hollow shaft.</p> <p> • a K-type thermocouple is used to monitor the temperature (manually recorded).</p> <p> • two triaxial accelerometers are mounted on the supports of bearings B1 and B2.</p> <p>Dataset:</p> <p> • stationary acquisitions at different speed & load combinations (speed: 0, 100, 200, 300, 400, 500 Hz; load: 0, 1000, 1400, 1800 N).</p> <p> • endurance acquisitions of the bearing featuring the 450µm roller indentation. Monitoring of the damage evolution for about 230 hours under the same speed and load condition.</p> <p> </p> <p>The extended description of the dataset can be found in the attached pdf "Description and analysis of open access data" or in:</p> <p>A.P. Daga, A. Fasana, S. Marchesiello, L. Garibaldi, The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, Mechanical Systems and Signal Processing 120 (2019) 252–273. doi:10.1016/j.ymssp.2018.10.010.</p>
OpenITI-proc corpus
<p>Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties. This is a large-scale historical corpus of the written Arabic language, spanning 1400 years. The corpus is processed with the Farasa Arabic NLP toolkit. The corpus can be used to study the history of the Arabic language.</p>
Figure 6 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 6. Results of the Bayesian Analysis of Population Structure (BAPS) of the Necromys lasiurus Cytochrome b sequences compiled in the present study, showing the four genetic clades, which are color-coded. The vertical black lines separate the sample groups. Insert map shows the Brazilian biomes.
Figure 7 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 7. Mismatch distribution of the Necromys lasiurus samples from the Rio de Janeiro state, Brazil. The observed frequencies are shown in red, and the expected frequencies, in green.
Figure 8 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 8. Plot of the DIYABC Random Forest simulations for the five hypothetical demographic scenarios proposed for the Necromys lasiurus groups (Atlantic Forest ecoregion, Atlantic Forest domain of Rio de Janeiro state, and Arid Diagonal ecoregion), and the location of the observed data, used to validate the best scenario. In this analysis, scenario 1 received 99 "votes", scenario 2, 398 "votes", scenario 3, 229 "votes", and scenario 4, 76 "votes", with 198 "votes" for scenario 5.
Figure 4 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 4. Haplotype network of the Necromys lasiurus Cytochrome b sequences analyzed in the present study, color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). (AF–RJ) Atlantic Forest domain of Rio de Janeiro state. Mutational steps are indicated with stripes.
Figure 5 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 5. Haplotype network of the Necromys lasiurus Cytochrome b sequences obtained in the present study from localities in the Atlantic Forest and Pampa biomes (AF), color-coded by locality. (ARG) Argentina, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PY) Paraguay, (PR) Paraná, (RJ) Rio de Janeiro, (RS) Rio Grande do Sul, (SC) Santa Catarina, (SP) São Paulo. Mutational steps are indicated with stripes.
Figure 2 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 2. The demographic scenarios formulated for testing in the DIYABC Random Forest analysis. Pop1 = Arid Diagonal ecoregion (AD), Pop2 = Atlantic Forest ecoregion (AF), Pop3 = Atlantic Forest of Rio de Janeiro state (AF-RJ). The scenarios tested here were: (1) AD as the ancestral population of AF, which originates AF-RJ, (2) AD as the ancestral population, which mixes with AF before originating AF-RJ, (3) AF-RJ as the ancestral population, which mixes with AF before originating AD, (4) AD as the ancestral population of AF and AF-RJ, and (5) AD as the ancestral population, mixing with AF-RJ before originating AF.
Figure 3 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 3. Consensus phylogenetic tree produced by the Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of the Cytochrome b sequences of Necromys lasiurus included in the present study. The clades are color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). The samples shaded green are from Atlantic Forest domain of Rio de Janeiro state. The circles at each branch represent the bootstrap values of the ML (left semi-circles) and the posterior probabilities of the BI (right semi-circles). In the left semi-circles, white indicates bootstrap values of 0.40–0.66, while gray represents values of 0.66–0.90, and black, values of over 0.90. In the right semi-circles, white indicates a posterior probability of less than 0.64, with gray representing posterior probabilities of 0.64–0.90, and black, values of over 0.90.
Text-fig. 4. Setlikia bohemica ŠTAMBERG et ZAJÍC, 1994. The postrostral and the skull roof in dorsal view. Holotype YA 1352, x 2.7. After Štamberg and Zajíc 1994. Dpt – dermopterotic; Dsph –dermosphenotic; Fr – frontal; ifc – infraorbital canal; In – infraorbital; Na – nasal; Op – operculum; Pa – parietal; Pp – postparietal; Ptr – postrostral; so – spiracular opening; soc – supraorbital canal. in Knowledge Of The Carboniferous And Permian Actinopterygian Fishes Of The Bohemian Massif - 100 Years After Antonín Frič
Text-fig. 4. Setlikia bohemica ŠTAMBERG et ZAJÍC, 1994. The postrostral and the skull roof in dorsal view. Holotype YA 1352, x 2.7. After Štamberg and Zajíc 1994. Dpt – dermopterotic; Dsph –dermosphenotic; Fr – frontal; ifc – infraorbital canal; In – infraorbital; Na – nasal; Op – operculum; Pa – parietal; Pp – postparietal; Ptr – postrostral; so – spiracular opening; soc – supraorbital canal.
Text-fig. 1. A. Location of the sites of Capo di Fiume, Palena and Pollenzo near Alba. B. Capo di Fiume stratigraphic section. Facies of coastal-transitional marine associations – a. Freshwater marsh and tidal creeks interval, b. Swamp interval, c1–c4. Facies of eustarine bay associations, d1–d6. Facies of open shelf marine associations. Symbols: "black star" – fossiliferous horizon with plant material studied here, 1. mottled grey to dark-brown marls and clayey marls, 2. fissile dark-grey marls and shaly marls, 3. limestones, 4. marly limestones and limey marls, 5. bio-lithoclastic calcarenites, 6. lime conglomerate, 7. massive muddy deposit produced by mass-flow mechanism, 8. diatomitic marls, 9. "terra rossa" soil (modified after Carnevale et al. 2011). in Feather Palm Foliage From The Messinian Of Italy (Capo Di Fiume, Palena And Pollenzo Near Alba) Within The Framework Of Northern Mediterranean Late Miocene Flora
Text-fig. 1. A. Location of the sites of Capo di Fiume, Palena and Pollenzo near Alba. B. Capo di Fiume stratigraphic section. Facies of coastal-transitional marine associations – a. Freshwater marsh and tidal creeks interval, b. Swamp interval, c1–c4. Facies of eustarine bay associations, d1–d6. Facies of open shelf marine associations. Symbols: "black star" – fossiliferous horizon with plant material studied here, 1. mottled grey to dark-brown marls and clayey marls, 2. fissile dark-grey marls and shaly marls, 3. limestones, 4. marly limestones and limey marls, 5. bio-lithoclastic calcarenites, 6. lime conglomerate, 7. massive muddy deposit produced by mass-flow mechanism, 8. diatomitic marls, 9. "terra rossa" soil (modified after Carnevale et al. 2011).
Figure 6 in Unusual winter zooplankton bloom in the open southern Adriatic Sea
Figure 6. Box-and-whisker plot of the abundance of protozoan shown by depth layers (February/March 2015, all investigated stations).
Figure 5 in Unusual winter zooplankton bloom in the open southern Adriatic Sea
Figure 5. Spatial distribution of total microzooplankton and mesozooplankton abundance along the investigated profile in February/March 2015.
Figure 3 in Unusual winter zooplankton bloom in the open southern Adriatic Sea
Figure 3. Vertical profiles of temperature, salinity, and density (sigma-t) over the investigated profile in February/March 2015.
Figure 4 in Unusual winter zooplankton bloom in the open southern Adriatic Sea
Figure 4. Vertical profiles of chlorophyll a fluorescence (Chl F) concentration and picophytoplankton,nanophytoplankton, and microphytoplankton abundance along the investigated profile in February/March 2015.
Figure 7 in Unusual winter zooplankton bloom in the open southern Adriatic Sea
Figure 7. Box-and-whisker plot of the total copepod developmental stages abundance shown by depth layers (February/March 2015, all investigated stations).
Fig. 3 in Influence of plant direction, layer, and spacing on the infestation levels of Anthonomus eugenii (Coleoptera: Curculionidae) in open jalapeño pepper fields in North Florida
Fig. 3. Number of infested fruits and presence of weevil larvae in different jalapeño plant parts (means ± SE). Number of infested fruits in 5 directions (A), in 3 layers (C), and at 5 spacings (E). Number of larval A. eugenii within infested fruits in 5 directions (B), in 3 layers (D), and at 5 spacings (F). Different letters indicate significant differences among the treatments (means separated by Tukey's HSD, P <0.05).
WaivOps EDM-TR8: Open Audio Resources for Machine Learning in Music
<p><strong>EDM-TR8 Dataset</strong></p> <p>EDM-TR8 is an open audio dataset composed of a series of drum recordings in the style of electronic dance music (EDM). This dataset primarily focuses on the iconic sounds of the Roland TR-808 drum machine with additional electro synth drums. The dataset contains 3,790 audio loops recorded in uncompressed stereo WAV format, generated with custom audio samples and a MIDI dataset used for training symbolic music models.</p> <p><strong>Dataset</strong></p> <p>The primary objective of this dataset is to provide accessible content for machine learning applications in music and audio research. Some potential use cases for this dataset include tempo detection and classification, drum rhythm analysis, audio-to-MIDI conversion, source separation, automated mixing, music information retrieval, AI music generation, sound design and signal processing.</p> <p><strong>Specifications</strong></p> <ul> <li>3790 audio loops (approximately 9 hours)</li> <li>16-bit WAV format</li> <li>BPM labeled</li> <li>Tempo range: 95–130bpm</li> <li>Variational drum patterns</li> <li>Multi-genre rhythm styles</li> </ul> <p><strong>License</strong></p> <p>This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks.. All recordings have been compiled by verified sources for copyright clearance.</p> <p>The EDM-TR8 dataset is licensed under Creative Commons Attribution 4.0 International <a href="https://creativecommons.org/licenses/by/4.0/">(CC BY 4.0)</a>.</p> <p><strong>Additional Info</strong></p> <p>For audio examples or more information about this dataset, please refer to the <a href="https://github.com/patchbanks/WaivOps-EDM-TR8">GitHub repository</a>.</p>
Fig. 4 in Influence of plant direction, layer, and spacing on the infestation levels of Anthonomus eugenii (Coleoptera: Curculionidae) in open jalapeño pepper fields in North Florida
Fig. 4. Fruit wall thickness and single weight in different jalapeño plant parts (means ± SE). Fruit wall thickness (A) and single weight (B) in 5 directions, fruit wall thickness (C) and single weight (D) in 3 layers, fruit wall thickness (E) and single weight (F) at 5 spacings. Different letters indicate significant differences among the treatments (means separated by Tukey's HSD, P <0.05).
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.