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62 results for “Throwing”
Throw trap and electrofishing data collected during 1996–2022 from the Everglades, Florida, United States for the publication "Hydrology-mediated ecological function of a large wetland threatened by an invasive predator"
Asian swamp eels (Monopterus albus/javanensis complex) were first reported from Florida in 1997 and the Everglades in 2007; swamp eels have been established in Taylor Slough of Everglades National Park since 2014. This dataset incorporates plot-level mean densities (# of individuals per square meter) of common aquatic animals collected during 1996–2022 from 24 sites across four regions of the Everglades: Taylor Slough, Shark River Slough, Water Conservation Area 3, and the C-111 Panhandle. Prey species included are the six most common small fishes prior to swamp eel invasion of Taylor Slough (1996–2009) and the three common decapod species (two crayfish species and grass shrimp). An annual index of mean wet season electrofishing catch-per-unit-effort of swamp eels, Mayan cichlids (Mayaheros uruphthalmus), and the three other large 'top predator' fishes (Amia calva, Lepisosteus platyrhincus, Micropterus salmoides) is included for plots where electrofishing was performed from 1997-2021. Hydrologic measures used in analyses are included.
Long-Term Aquatic Faunal Sampling via Throw Trap in Shark River Slough, Everglades, Florida, USA, 1978 – 2021
Long-term monitoring of fish communities in the Everglades using 1-m2 throw traps started in 1978 and is ongoing. Data represent the number of individuals per species collected per throw trap (i.e., individuals per square meter). From 1978-1995 sampling occurred five times per year, referred to as periods, at one plot per site and the number of throws was determined by estimates of inter-sample variance. In 1996, the spatial extent of monitoring was expanded to include additional sites and multiple plots per site. At each plot 5-7 throw trap samples were collected with sampling location within a plot being drawn from a random number table. Days since dry (DSD) are calculated as the number of days since depth was last < 5 cm using the Everglades Depth Estimation Network and in situ depth measurements. Statistical comparisons of community composition can be found in FCE1258_community_change.Rmd
Ice Throw from Wind Turbines: Experimental Data, 6DOF Model, CFD results, 3D Scans
<p>Compiled data and code from the Eisball Project (funded by the Austrian Research Promotion Agency FFG, project number 865060)</p> <p> </p> <p> </p> <p>6DOF_model_octave.zip - reference implementation of the six-degree-of-freedom model in MathML (Octave or MATLAB)</p> <p>experimental_data.csv - Experimental Data from dropping artificial ice fragments from wind turbines, recording drop distance and direction, details in experimental_data_column_description.txt</p> <p>???_forces_and_moments.csv - forces and moments tables for the use in the 6DOF model, specific per specimen type</p> <p> </p> <p>Data was first published in Nov 2021 at https://boku.ac.at/wau/risk/abgeschlossene-projekte/eisball-1 (may not persist)</p>
Throw trap and electrofishing data collected during 1996–2022 from the Everglades, Florida, United States for the publication "Contrasting invasion histories and effects of three non-native fishes observed with long-term monitoring data"
This dataset was used to analyze the effects of three non-native fishes in the Florida Everglades for a publication in the journal Biological Invasions. The dataset incorporates plot-level mean densities (# of individuals per square meter) of common aquatic animals collected during 1996–2022 from 17 sites across three regions of the Everglades: Taylor Slough, Shark River Slough, and Water Conservation Area 3A. Prey species included are nine common small fishes and three common decapod species (two crayfish species and grass shrimp). The dataset includes throw trap data on three predator taxa: African Jewelfish (Hemichromis letourneuxi), Mayan Cichlids (Mayaheros uruphthalmus), and sunfishes (Lepomis spp.). Annual indices of mean wet season electrofishing catch-per-unit-effort of Asian Swamp Eels (Monopterus albus/javanesis), Mayan Cichlids, sunfishes, and the three other large 'top predator' fishes (Amia calva, Lepisosteus platyrhincus, Micropterus salmoides) are included for plots where electrofishing was performed from 1997-2021. Hydrologic measures used in analyses and R code used to conduct analyses are also included.
Long-Term Slough Crayfish (Procambarus fallax) Densities in the Florida Everglades from Throw Trap Sampling, Florida, USA, February 1996-December 2016
Densities of slough crayfish (Procambarus fallax) were collected throughout the Florida Everglades using 1-m2 throw-trapping samples from 1996–2016. Data were collected in four distinct regions within the Everglades (Shark River Slough, Taylor Slough, Water Conservation Area 3A and 3B) and during five seasonal periods each year. Each region consists of a series of sites, and each site consists of 3–5 sampling plots. The plot scale defines the unique sampling unit in the study, and 5–7 replicate throws were conducted at each plot. Corresponding hydrologic data were collected in conjunction with crayfish observations. These data describe antecedent average water depths, along with the duration of previous wet and dry conditions. Antecedent conditions were calculated by using both in situ measurements, as well as model output from the Everglades Depth Estimation Network (EDEN). Additional hydrologic data are provided in the LD_0 dataset, which describes daily depths measurements at sampling plots, as well as the length of antecedent complete drying events (LD_0). The length of antecedent dry conditions is assessed in R script FCE1267_01_LD_Depths, while the crayfish modeling code is described in FCE1267_02_Modeling_Code.
Throw trap and Electrofishing Data from Water Conservation Area 3B, Florida, USA, 2019-2022 for the Decompartmentalization Physical Model Project
This dataset includes densities and biomass of fishes and macroinvertebrates collected using throw traps or an airboat-mounted electrofisher in the study region of the Decompartmentalization Physical Model (DPM) located in Water Conservation Area (WCA) 3B. Some sites in this region experienced seasonal increases in water flow due to the operations of the S-152 structure. The sites sampled for this dataset were either located along a gradient of water flow (downstream the S-152) or were in a reference area that had ambient flow conditions. The purpose of this dataset was to quantify community responses of consumers groups to flowing water and how it may interact with local nutrient conditions at the site level. Hydrological, floc nutrient and periphyton volume data used in the analyses are included. This data package includes the R script that was used to run the statistical models for the manuscript titled "Discharge and nutrients interact to determine trophic structure in a wetland: evidence from a landscape-scale manipulation". The data collection for this data package is complete.
Interception of virtual throws reveals predictive skills based on the visual processing of throwing kinematics - Dataset
<p>Dataset consists of a list of Matlab structures, one for each of the 21 participants. For each participant all the recorded trials are reported ("trials" field). For each trial, the dataset reports information about the associated experimental condition and the kinematics of the ball and the racket trajectories. Information about the experimental condition are specified in the "info" field, which provides the experimental phase (Training and Experimental), the visibility (AllVisible, ThrowerOnly, BallOnly), the target (1, 2, 3, 4), and the thrower ID (1, 2, 3, 4). The kinematics data, starting from the time of ball release, are given in the field "trajectories", which provides the time vector (in seconds), and the corresponding 3D positions of the racket and the ball (in meters) in the reference frame shown in Figure 1 of the paper.</p>
Viking Throwing Axe.
Made an Axe and kept away from doing too stylized. I originally wanted to make it a big heaving axe but ended up making it more like a throwing axe. Feel free to download and use it! Source: Objaverse 1.0 / Sketchfab
Aged bronze elvin throwing dagger
Elvin throwing dagger, used & aged. Modelled in Blender textured in substance painter. Feel free to use the model as you wish! Source: Objaverse 1.0 / Sketchfab
Cross-education of Skill: Assessment of Overhand Throwing Using Product- and Process-oriented Assessment.
<p>Data used for Cross-education of Skill: Assessment of Overhand Throwing Using Product- and Process-oriented Assessment.</p>
Data from: On the use of climate covariates in aquatic species distribution models: are we at risk of throwing the baby out?
Species distribution models (SDMs) in river ecosystems can incorporate climate information by using air temperature and precipitation as surrogate measures of instream conditions or by using independent models of water temperature and hydrology to link climate to instream habitat. The latter approach is preferable but constrained by the logistical burden of developing water temperature and hydrology models. We therefore assessed whether regional scale, freshwater SDM predictions are fundamentally different when climate data versus instream temperature and hydrology are used as covariates. Maximum Entropy (MaxEnt) SDMs were built for 15 freshwater fishes using one of two covariate sets: (1) air temperature and precipitation (climate variables) in combination with physical habitat variables; or (2) water temperature, hydrology (instream variables) and physical habitat. Three procedures were then used to compare results from climate vs. instream models. First, equivalence tests assessed average pairwise differences (site-specific comparisons throughout each species' range) among climate and instream models. Second, 'congruence' tests determined how often the same stream segments were assigned high habitat suitability by climate and instream models. Third, Schoener's <i>D</i> and Warren's <i>I</i> niche overlap statistics quantified range-wide similarity in predicted habitat suitability values from climate vs. instream models. Equivalence tests revealed small, pairwise differences in habitat suitability between climate and instream models (mean pairwise differences in MaxEnt raw scores for all species < 3×10<sup>-4</sup>). Congruence tests showed a strong tendency for climate and instream models to predict high habitat suitability at the same stream segments (median congruence = 68%). <i>D</i> and <i>I</i> statistics reflected a high margin of overlap among climate and instream models (median <i>D</i> = 0.78, median <i>I</i> = 0.96). Overall, we found little support for the hypothesis that SDM predictions are fundamentally different when climate versus instream covariates are used to model fish species' distributions at the scale of the Columbia Basin.
Data from: Genetic analysis of river, swamp and hybrid buffaloes of north-east India throw new light on phylogeography of water buffalo (Bubalus bubalis)
This study analysed buffaloes from north-east India and compared their nuclear and mitochondrial DNA variations with buffaloes of mainland India, China, Mediterranean and South-East Asia. Microsatellite genotypes of 338 buffaloes including 210 from six north-east Indian buffalo populations and three mainland Indian breeds were analysed to evaluate their genetic structure and evolutionary relationships. Phylogenetic analysis and multidimensional scaling plot of pairwise FST revealed the clustering of all swamp-type buffaloes of north-east India with Lower Assamese (significantly hybrid type) buffaloes in one plane and all the mainland river buffaloes in another plane while the upper Assamese buffaloes being distinct from both these clusters. Analysis of mtDNA D-loop region of 530-bp length was performed on 345 sequences belonging to 23 buffalo populations from various geographical regions to establish the phylogeography of Indian water buffalo. The swamp buffaloes of north-east India clustered with both the lineages of Chinese swamp buffalo. Multidimensional scaling display of pairwise FST derived from mitochondrial DNA data showed clustering of upper Assamese, Chilika and Mediterranean buffaloes distinctly from all the other Indian buffalo populations. Median-joining network analysis further confirmed the distinctness and ancestral nature of these buffaloes. The study revealed north-east region of India forming part of the wider hybrid zone of water buffalo that may probably extend from north-east India to South-East Asia.
FIGURES 19–20 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 19–20. Pennithera firmata, male genitalia and muscles: 19. Armature (proximal part of subscaphium, distal part of muscles m2(10) on the right side, muscles m4 on the left side and ventral band of muscles m5(7) on the right side not shown). 20. Aedeagus.
FIGURES 17–18 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 17–18. Lampropteryx suffumata, male genitalia and muscles: 17. Armature (proximal part of subscaphium, distal part of muscles m2(10) on the left side and muscles m5(7) on the right side not shown). 18. Aedeagus.
FIGURES 9–10 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 9–10. Dysstroma citrata, male genitalia and muscles: 9. Armature (proximal part of subscaphium, proximal part of muscles m2(10) on the left side, middle part of muscles m4 on the right side and muscles m6(5) on the left side not shown). 10. Aedeagus.
FIGURES 1–2 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 1–2. Cidaria fulvata, male genitalia and muscles: 1. Armature (subscaphium, distal part of muscles m4 on the right side and muscles m6(5) on the right side not shown). 2. Aedeagus.
FIGURES 5–6 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 5–6. Colostygia olivata, male genitalia and muscles: 5. Armature (proximal part of subscaphium, muscles m5(7), muscles m6(5) on the right side not shown). 6. Aedeagus.
FIGURES 3–4 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 3–4. Chloroclysta siterata, male genitalia and muscles: 3. Armature (muscles m1 on the right side, muscles m2(10) on the left side, dorsal part of muscles m3(2) on the left side, muscles m4 on the right side and muscles m6(5) on the left side not shown). 4. Aedeagus.
FIGURES 7–8 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 7–8. Cosmorhoe ocellata, male genitalia and muscles: 7. Armature (proximal part of subscaphium, proximal part of muscles m2(10) on the right side, muscles m6(5) on the left side and middle part of muscles m4 on the right side not shown). 8. Aedeagus.
FIGURES 21–22 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 21–22. Thera variata, male genitalia and muscles: 21. Armature (subscaphium, muscles m4 on the left side and muscles m5(7) on the right side not shown). 22. Aedeagus.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.