This layer has point data depicted by graduated colors for employment by jobs location. The 2019 version of the Longitudinal Employer-Household Dynamics dataset from the Center for Economic Studies at the US Census Bureau has been used for this layer.Data Owner & Organization: Austin Transit Partnership - Planning & Federal Programs teamData Source Details: Longitudinal Employer-Housing Dynamics, Center for Economic Studies, US Census Bureau, 2019Data Refresh Schedule: This data was used for the Implementation Plan published in May 2023. It will not be refreshed. ATP Data Classification: Public; This data can be shared publicly.

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows the degree of relief in Canada. This map is a general purpose relief map of Canada with elevation levels delineated by a graduated color scale. The elevation ranges above and below sea level are shown.

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows the degree of relief in Canada. This map is a general purpose relief map of Canada with elevation levels delineated by a graduated color scale. The elevation ranges above and below sea level are shown.

Explore the progression of average salaries for graduates in Colors And Materials from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Colors And Materials relative to other fields. This data is essential for students assessing the return on investment of their education in Colors And Materials, providing a clear picture of financial prospects post-graduation.

The global camera color effects filter market is experiencing robust growth, driven by the increasing popularity of photography and videography among both professionals and amateurs. The market, estimated at $500 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $850 million by the end of the forecast period. This expansion is fueled by several key factors. The rise of social media platforms, where visually appealing content is paramount, has significantly boosted demand for filters that enhance color saturation, contrast, and overall image quality. Furthermore, advancements in filter technology, including the introduction of more durable and cost-effective materials, have broadened accessibility and spurred adoption. The growing preference for high-quality visual content in filmmaking and advertising further strengthens market demand. Key players like Tiffen, Hoya, and LEE Filters are continuously innovating with new filter designs and functionalities, catering to diverse user needs and preferences. This competitive landscape encourages product improvements and contributes to the market's overall dynamism. However, certain restraints are also present. The fluctuating prices of raw materials used in filter manufacturing can impact profitability and affordability for consumers. Additionally, the emergence of digital image editing software and smartphone camera applications offering similar color correction capabilities presents a degree of competitive pressure. Nevertheless, the unique creative control and superior image quality offered by physical filters, especially in professional settings, are expected to continue driving growth within the forecast period. Segmentation within the market is likely based on filter type (e.g., graduated neutral density, color correction, special effects), material, and application (photography, videography, filmmaking). Regional differences in photography and videography adoption rates will also influence market penetration, with North America and Europe expected to maintain significant market shares.

Graduated color map of population density in Chicago in 2010, data from U.S. Census

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows the degree of relief in Canada. This map is a general purpose relief map of Canada with elevation levels delineated by a graduated color scale. The elevation ranges above and below sea level are shown.

In 2023, the retail sales of China's color cosmetics market amounted to ***** billion yuan, representing a slight increase from the previous year. The market is expected to maintain its momentum, achieving a value of over *** billion yuan in 2028. Consumption force In China, people used to put on makeup only for special occasions such as weddings and graduation. Nowadays, wearing makeup has become common, with the number of users growing remarkably across all ages. The main consumption power of color cosmetic products are users aged ******** years. Consumer preferences As per capita annual expenditure on color cosmetics remains low, cost-effective products are prevalent in the Chinese makeup market. In the first quarter of 2024, more than half of the makeup products sold online were priced below *** yuan. Among all makeup categories, *********** was the most popular, accounting for more than half of the market.

Comparison in the accuracy of classifying lesions presented in the images in each set (i.e., protanope, deuteranope, tritanope simulated images and non-simulated images) between male and female participants.

This polygon shapefile depicts a watershed integrity cluster analysis at the CalWater 2.2.1 Planning Watershed (PWS) level was performed by mapping factors representing some of the most significant watershed threats. Each of the individual watershed integrity factors was individually mapped and then combined in the watershed cluster analysis. This individual threat, cultivated, was created by taking CalWater watersheds at the planning unit level (most refined) and running zonal statistics, part of spatial analysis. The CalWater Planning Watershed was the zone dataset (pwsname as the zone field) and Distance to Roads as the value raster. The result gives the mean percent distance to roads in the nine county San Francisco Bay Area Region, California at the watershed level in a table that you can join back to the CalWater GIS layer and then symbolize as a graduated color with the mean being the value field. This analysis was done the Conservation Lands Network Fish and Riparian Focus Team.

In many animals, ultraviolet (UV) vision guides navigation, foraging, and communication, but few studies have addressed the contribution of UV vision to color discrimination, or behaviorally assessed UV discrimination thresholds. Here, we tested UV-color vision in an anemonefish (Amphiprion ocellaris) using a novel five-channel (RGB-V-UV) LED display designed to test UV perception. We first determined that the maximal sensitivity of the A. ocellaris UV cone was at ~386 nm using microspectrophotometry. Three additional cone spectral sensitivities had maxima at ~497, 515, and ~535 nm, which together informed the modelling of the fish’s color vision. Anemonefish behavioral discrimination thresholds for nine sets of colors were determined from their ability to distinguish a colored target pixel from grey distractor pixels of varying intensity. We found that A. ocellaris used all four cones to process color information and is therefore tetrachromatic, and fish were better at discriminating colors (i.e., color discrimination thresholds were lower, or more acute) when targets had UV chromatic contrast elicited by greater stimulation of the UV cone relative to other cone types. These findings imply that a UV component of color signals and cues improves their detectability, which likely increases the salience of anemonefish body patterns used in communication and the silhouette of zooplankton prey. Methods Lens transmission of A. ocellaris For the measurement of lens transmission in A. ocellaris, the lenses (n = 3 fish) were isolated from the hemisected eyecup and rinsed in PBS to remove any blood and vitreous. Spectral transmission (300–800 nm) was measured by mounting the lens on a drilled (1.0 mm diameter hole) metal plate between two fibers (50, 100 µm diameters) connected to an Ocean Optics USB4000 spectrometer and a pulsed PX2 xenon light source (Ocean Optics, USA). Light spectra were normalized to the peak transmission value at 700 nm, and lens transmission values were taken at the wavelength at which 50% of the maximal transmittance (T50) was attained. No pigmented ocular media was observed. Photoreceptor spectral sensitivities of A. ocellaris The spectral absorbance of A. ocellaris photoreceptors was measured using single-beam wavelength scanning microspectrophotometry (MSP). In summary, small pieces (~1 mm2) of tissue were excised from the eyes of two-hour dark-adapted fish, then immersed in a drop of 6% sucrose (1X) PBS solution and viewed on a cover slide (sealed with a coverslip) under a dissection microscope fitted with an infra-red (IR) image converter. A dark scan was first taken to control for inherent dark noise of the machine and a baseline scan measured light transmission in a vacant space free of retinal tissue. Pre-bleach absorbance measurements were then taken by aligning the outer segment of a photoreceptor with the path of an IR measuring beam that scanned light transmittance over a wavelength range of 300–800 nm. Post-bleach scans were then taken after exposing the photoreceptor to bright white light for 60 seconds and then compared to pre-bleach scans to confirm the presence of a labile visual pigment. Confirmed visual pigment spectral absorbance data was then analyzed using least squares regression that fitted absorbance data between 30% and 70% of the normalized maximum absorbance at wavelengths that fell on the long-wavelength limb. The wavelength at 50% absorbance was then used to estimate the maximum absorbance (λmax) value of the visual pigment by fitting bovine rhodopsin as a visual pigment template. This absorbance curve fitting was performed in a custom (Microsoft Excel) spreadsheet, where the quality of fit of absorbance spectra between A1- and A2-based visual pigment templates was also visually compared. Individual scans were binned on their grouping of similar (≤10 nm difference) λmax values, and then averaged and reanalyzed across fish to create mean absorbance spectra. Color selection and stimuli design To estimate anemonefish photoreceptor excitation for target and distractor colors, receptor quantum catches ‘q’, were first calculated for each stimulus, ‘S’ (i.e., target and distractor radiance spectra in µM/cm-2/s-1/nm) viewed under well-lit conditions and integrated over 300 to 700nm given by: ??=?? ∫??(?)?(?) ??, (1) where k is a scaling coefficient for receptor adaption to the background ambient light, Sb: ??= 1/∫??(?)??(?) ??. (2) Ri(λ) was the normalized spectral absorbance of a given receptor type ‘i’ (i = U, M1, M2, L) multiplied by lens transmittance, and ‘λ’ denoted wavelength (nm). Sb(λ) was the spectral radiance of the PTFE display screen (between the pixels) with all LEDs turned off and measured from 5.0 cm in the experimental tank. This approach allowed for modelling spectral emission (from LEDs) rather than more commonly calculated for reflectance. Integration was performed across the visible spectrum (i.e., 300–700 nm for A. ocellaris). Relative cone quantum catches were used to plot color loci in a tetrahedral color space. The contrast (Δqi) for each receptor channel was calculated by, Δ??=ln ???????? / ????????? ?????????? (3). In the absence of direct noise measurements for A. ocellaris cones, we estimated cone 516 noise levels (ei) by, ??=√? / ?? (4), where ‘σ’, the numerator of the Weber fraction, and ‘η’ is the ratio of the given cone type. Based on the regular mosaic of one single cone surrounded by four double cones in the A. ocellaris retina, we used a relative cone abundance ratio of 1 : 2 : 1 : 1 (U : M1 : M2 : L) for a tetrachromatic visual system and 1 : 2 : 2 for a trichromatic visual system. ΔS in tetrachromatic visual space was calculated by: Δ?= (?1?2)2(Δ?4−Δ?3)2+(?1?3)2(Δ?4−Δ?2)2+(?1?4)2(Δ?3−Δ?2)2+(?2?3)2(Δ?4−Δ?1)2+(?2?4)2(Δ?3−Δ?1)2+(?3?4)2(Δ?2−Δ?1)2 / (?1?2?3)2+(?1?2?4)2+(?1?3?4)2+(?2?3?4)2 (4), and in trichromatic visual space was calculated by: (Δ?)2=?21 (Δ?3− Δ?2)2+ ?22 (Δ?3− Δ?1)2+ ?2 3 (Δ?1− Δ?2)2 / (?1 ?2)2+ (?1 ?3)2+ (?2 ?3)2 (5). Grey distractor spectra (N=13) were chosen to be <1 ΔS of the achromatic point of A. ocellaris and ranged between 0.3 ΔS to 0.8 ΔS of each other. To control for the potential use of achromatic (intensity) cues when discriminating targets, we selected 6 to 10 distractor greys (from the 13) per stimulus based on all four-cone quantum catches to encompass the highest and lowest target intensities. Alternative models calculated ΔS values using more-conservative receptor σ-values ranging from 0.05 to 0.15, to assess their fit with A. ocellaris behavioral thresholds. Lower single cone noise (σ = 0.04–0.11) than double cones (σ = 0.14) was also modelled in case of different inherent noise levels. Threshold predictions were also compared between models of trichromat and tetrachromat vision in A. ocellaris, in case this could reveal any information on the contribution of double cones to color vision. The closest model fit was determined based on which had the smallest mean difference summed across all color lines from 1 ΔS. Training and experiment During both training and the experiment, the LED display was presented in a section of the aquarium separated by a sliding, opaque door. This door was closed to keep fish from viewing the display while the stimulus was updated between trials, and only upon trial commencement was the door raised to allow fish to view and interact with the display. For both training and testing, a morning (09:00–11:00) and afternoon (14:00–16:00) session were run, in which fish completed between 10 to 12 trials per day. Fish were initially enticed to peck the LED display by presenting a pseudo-randomly chosen high-contrast pixel (blue, green, red, or UV) with a small piece of prawn meat smeared on it. Over a week, we gradually reduced the size of the smeared food and transitioned towards a food reward (Formula One Ocean Nutrition pellets) delivered by forceps when fish pecked the single target pixel. Once anemonefish readily approached and pecked at the display without enticement, we introduced the grey distractor pixels alongside the target pixel. Fish were only rewarded when they correctly chose/pecked the target color within 60 seconds. They were deemed to have reached the training criteria for the discrimination task after maintaining a correct choice probability of 0.75 over five consecutive sessions. 11 anemonefish met this criterion (mean number of training trials ± sd = 8.0 ± 4) and underwent experimental testing. For testing, like training, fish were only rewarded for pecking the target pixel. Trials were terminated if fish made more than one incorrect choice or exceeded 60 seconds, upon which fish were returned to behind the divider (starting position) without reward. Note, because of the numerosity of pixels (n=38) per stimulus and the potential for distractions, each fish was permitted to make up to one incorrect choice per trial. For each trial, we recorded whether fish made a correct or incorrect choice, time (seconds) after fish entered through the door till target detection (i.e., latency), tested color set, and target ΔS. Each color set was tested using five or six individual anemonefish that completed a minimum of eight trials per target color per assigned set (mean ± sd = 10 ± 1.0). Fish were divided into two groups assigned different color sets, including: 1) Fish IDs 19, 20, 33, 34, and 36 which were assessed in order of testing with green, UV, purple, and UV-red, and 2) Fish IDs 21, 22, 24, 31, 32, and 35 which were assessed in order of testing with blue, UV-blue, violet-green, red, and orange. Between each trial the target pixel contrast was pseudo-randomly assigned from a list of LED intensity values for each color set. Throughout the experiment, we included control trials (n=10) to ensure that no other cues were created by the controller or

This is a webmap that displays the population density by state of the country Nigeria as at 2016. It showcases a visual, easy-to-understand display of the difference in population density among the different states using a graduated colour scheme. The population density is calculated by dividing the states total population by the are of its landmass in m².

This is a webmap that displays the population density by state of the country Nigeria as at 2006. It showcases a visual, easy-to-understand display of the difference in population density among the different states using a graduated colour scheme. The population density is calculated by dividing the states total population by the are of its landmass in m².

A display of jade ornaments and Spondylus shells found with Burial 116, Tikal Museum, 1964. Note the large shell set over the top of the skull, the worked valves arranged over and along the body, and the unworked shell near the right ankle. Jade ornaments shown are a diadem, composite ear ornaments, a necklace of long beads with square sections, a necklace of graduated large pebble beads, bracelets and anklets of long cylinder beads, and scattered pebble beads.

(a) The source region of particles for the 10–20 Nov 2009 simulation. (b) The source region of particles for the 10–20 Sep simulation. In both cases the particles were initialized in PRZ2 in Fig 2.