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11,506 results for “Dynamics”
HiDy: A Large-scale Hierarchical Dynamic Financial Knowledge Base
<p>HiDy is a hierarchical, dynamic, robust, diverse, and large-scale financial KB that aims to provide various valuable financial knowledge as critical benchmarking data for fair model testing in different financial tasks. Specifically, HiDy currently contains 34 relation types, more than 506,444 relations, 17 entity types, and more than 51,095 entities. The scale of HiDy is steadily growing due to its continuous updates. To make HiDy easily accessible and retrieved, HiDy is organized in a well-formed financial hierarchy with four branches, <em>Macro</em>, <em>Meso</em>,<em> Micro</em>, and<em> Others</em>.</p> <p>We then give explanations on the various csv files as follows.</p> <ul> <li>"hidy.nodes.entity_type.csv" includes a mapping dictionary of entities with a specific entity type. The meta data is ID, name, (code), Label. For example, "hidy.nodes.company.csv" includes "0,东诚药业,002675.SZ,company", "1,大庆华科,000985.SZ,company".</li> <li>"hidy.relationships.relation_type.csv" includes quadruple knowledge with a specific relation type. The meta data is START_ID, END_ID, TYPE, time. For example, "hidy.relationships.cooperate.csv" includes "2197,245,cooperate,2019/9/17 12:00, "1165,756,cooperate,2020/8/2 17:10".</li> </ul> <p>For details of HiDy, please refer to our <a href="https://github.com/K-Quant/HiDy">GitHub</a>.</p>
Data basis of "Investigation of Railway Network Capacity by Means of Dynamic Flows"
<p>Input data for the article <strong>Investigation of Railway Network Capacity by Means of Dynamic Flows (Nikolayzik, Maus and Nießen).</strong></p> <p>The dataset contains two files for each analysed scenario (complete network, upper subnetwork, lower subnetwork).</p> <p>The first file ("input_data_infrastructure_{scenario}.csv") contains information on the investigated infrastructure:<br>For each station the number of available tracks is listed and for the lines information on whether it is a single- or double-track line, the average minimum headway time, hourly capacity limits and travel times for the different train types are included. The information is thereby split into two parts, depending on whether the core network or the linking lines are described.</p> <p>The second file ("input_data_trains_{scenario}.csv") contains the trains that can generally be scheduled in the considered network, including information on the corresponding train type, departure frequencies, their routes and a minimally allowed dwell time.</p> <p> </p> <p>Further, the file "input_data_route_conflicts_nodes.py" contains the information on which routes inside a station exclude each other as is described in the article.</p> <p> </p> <p> </p>
FIGURE 1 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 1. Simplification of the center of head movement as a joint in extinct Temnospondyli amphibian when biting. Elaborated from the original image (en.wikipedia.org/wiki/File:Jammerbergia_formops.jpg). Under license: CC BY-SA 3.0 (creativecommons.org/licenses/by-sa/3.0/).
FIGURE 4 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 4. Von Mises stress distribution in the skull for the Static Analysis in FEA in cases 1A, 2A, 3A, 1B, 2B and 3B.
FIGURE 2 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 2. Studied test cases of different feeding movements when applying a force F=800 N in the direction of the red arrow (when the force is perpendicular at the view the red arrow is a red dot). Case 1A, 2A and 3A with a fixed boundary condition in the condyle without the web of beams. Case 1B, 2B and 3B with the web of beams in the condyle and a fixed boundary condition.
FIGURE 5 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 5. Measurements used in this study. 1. Variables related to a footprint: FL, footprint length; FW, footprint width; LII, LIII, LIV, length of the digits; II-III, angle between the axis of digit II and digit III; III-IV, the same angle relative to digits III and IV; TE, toe extension, that is, the anterior projection of digit III. 2. Variables related to a trackway: ANG, angle between three consecutive footprints; eTW, external trackway width; iTW, internal trackway width; PL, pace length; SL, stride length.
FIGURE 1. 1 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 1. 1. Location of the Southwestern Iberian Ranges on the Iberian Peninsula. 2. Lithostratigraphic units of the Cretaceous of Iberian Basin. 3. Informal stratigraphy of La Huérguina Limestones Fm. in Las Hoyas and surrounding sub-basins (modified from Fregenal-Martínez and Meléndez, 2000).
FIGURE 6. 1 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 6. 1. Photograph of the trackway LH-Y-1-001 of the Late Barremian of Las Hoyas outcrop (La Huérguina Formation). 2. Footprint LH-Y-1-001/1. 3. Footprint LH-Y-1-001/2. 4. Footprint LH-Y-1-001/3.
FIGURE 4 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 4. Drawing of the distorted footprint MCCM-LH 6500 (Las Hoyas, Late Barremian) showing the taphonomic features of a print likely produced on a moist to unsaturated microbial mat. 1-3: layers of sediment fill that form a stack of internal overtracks; dr: displacement rim; rf: radial fissures or striation marks.
FIGURE 3 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 3. Preservation of tetrapod traces at Las Hoyas (Late Barremian, La Huérguina Formation). 1. Stretched isolated footprint (MCCM-LH- 6500) that was formerly attributed to Pteraichnus. 2. Dinosaur footprint of a trackway composed of two prints in White Square layer #8.2, showing a chipped surface inside; scale bar 15 cm. 3. Theropod left footprint of the trackway recorded in Magenta Square. 4. Theropod right footprint of the same trackway as Figure 3.3 recorded in Magenta Square. 5. Hand and foot of a crocodylomorph recorded in White Square, layer #5, scale bar 13 cm. The image has been equalized to enhance the scratches of the foot toes. 6. Traces attributed to undetermined tetrapod preserved as sub-elliptical prints closely placed from MaWh Corridor (LH-29959).
FIGURE 7 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 7. Map of the trackway LH-Y-1-001 from the Las Hoyas fossil site Late Barremian (La Huérguina Formation).
FIGURE 2 in A new trackway possibly made by a trotting theropod at the Las Hoyas fossil site (Early Cretaceous, Cuenca Province, Spain): Identification, bio-dynamics and palaeoenvironmental implications
FIGURE 2. Map of the Las Hoyas quarry (upper Barremian, Cuenca, Spain) with the position of the E-W excavated Squares, in color (modified from Buscalioni and Fregenal-Martínez, 2010). As shown in the box, the stratigraphic succession of the squares, and the associated richness in the number of tetrapod tracks.
FIGURE 4 in Life history trait variations and population dynamics of Calophysus macropterus (Siluriformes: Pimelodidae) in two river systems of the Colombian and Peruvian Amazon
FIGURE 4 | Standard length frequency histograms and the corresponding von Bertalanffy growth function for Calophysus macropterus (sexed and unsexed individuals combined) in (A, B) the upper Putumayo River and in (C) the AMU (the Amazonas, lower Marañón and Ucayali rivers).
FIGURE 3 in Life history trait variations and population dynamics of Calophysus macropterus (Siluriformes: Pimelodidae) in two river systems of the Colombian and Peruvian Amazon
FIGURE 3 | Mean monthly GSI values (circles) of Calophysus macropterus females between 2013 and 2017 in relation with the water level (dotted line) in the upper Putumayo River (A) and the Amazonas, lower Marañón and Ucayali rivers (B).
FIGURE 2 in Life history trait variations and population dynamics of Calophysus macropterus (Siluriformes: Pimelodidae) in two river systems of the Colombian and Peruvian Amazon
FIGURE 2 | Size frequency distribution of Calophysus macropterus females and males caught over the study period in the Putumayo River (A) and the Amazonas, lower Marañón and Ucayali rivers (B).
FIGURE 1 in Life history trait variations and population dynamics of Calophysus macropterus (Siluriformes: Pimelodidae) in two river systems of the Colombian and Peruvian Amazon
FIGURE 1 | Geographic location of biological monitoring points for Calophysus macropterus at Puerto Leguízamo in the Putumayo River (Colombia) and Iquitos (Amazonas, lower Marañón and Ucayali rivers, AMU).
FIGURE 5 in Life history trait variations and population dynamics of Calophysus macropterus (Siluriformes: Pimelodidae) in two river systems of the Colombian and Peruvian Amazon
FIGURE 5 | Standard length at first sexual maturity for males (black triangles) and females (white circles) of Calophysus macropterus (A) in the upper Putumayo River and (B) in AMU (the Amazonas, lower Marañón and Ucayali rivers).
FIGURE 7 in Life history trait variations and population dynamics of Calophysus macropterus (Siluriformes: Pimelodidae) in two river systems of the Colombian and Peruvian Amazon
FIGURE 7 | Standard length-converted catch curves (SL) and mortality estimates for Calophysus macropterus (A) females, (B) males and all individuals (sexed and unsexed) combined (C) in the Amazonas, lower Marañón and lower Ucayali rivers, calculated from the VBGF parameters at a mean temperature of 27°C. Z, M and F represent the instantaneous rates of total, natural and fishing mortality, respectively. E is the exploitation rate (E = F.Z-1). Black dots = data points in the curve on which the regression was fitted.
FIGURE 4 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions
FIGURE 4. Evolution of the sea surface temperature. Comparison of the raw data (Martin et al., 2014) with the curve obtained with the mean for each time interval and the curve obtained with the theoretical data calculated from the polynomial curve, smoothing spline, and two curves with three-point moving average and with weighted three-point moving average approaches.
FIGURE 3 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions
FIGURE 3. Comparison of the crocodylomorph genus diversity used in various studies. 1, comparison of the number of genera used for each marine crocodylomorph group; 2, comparison of the percent of each group used in the marine crocodylomorph diversity (with and without metriorhynchoids).
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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.