In 2023, about **** million people in Washington were of Hispanic or Latino origin. Furthermore, there were about **** million white people and ******* Asian people living in Washington state in that year.

This dataset tracks annual diversity score from 2004 to 2023 for Washington State School For The Deaf vs. Washington and Washington Center For Deaf And Hard Of Hearing Youth School District

This dataset tracks annual diversity score from 2013 to 2023 for Washington State School For The Blind vs. Washington and Office Of The Governor (Sch For Blind) School District

This dataset tracks annual diversity score from 1991 to 2023 for State Street High School vs. Washington and Sedro-Woolley School District

The Washington Natural Heritage Program maintains a database of rare and imperiled species and plant communities for the state. The Element Occurrence (EO) records that form the core of the Natural Heritage database include information on the location, status, characteristics, numbers, condition, and distribution of elements of biological diversity using established Natural Heritage Methodology developed by NatureServe and The Nature Conservancy (TNC). An Element Occurrence (EO) is an area of land and/or water in which a species or natural community is, or was, present. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population or a group of nearby populations (e.g., metapopulation). For community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. Because they are defined on the basis of biological information, EOs may cross jurisdictional boundaries. An Element Occurrence record is a data management tool that has both spatial and tabular components including a mappable feature and its supporting database. EOs are typically represented by bounded, mapped areas of land and/or water or, at small scales, the centroid point of this area. EO records are most commonly created for current or historically known occurrences of natural communities or native species of conservation interest. They may also be created, in some cases, for extirpated occurrences.

This dataset tracks annual diversity score from 1991 to 2023 for Washington

This bar chart depicts PERM case filings at Washington State University sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

This portion of the data release presents fish abundance data from samples collected in the Elwha River estuary, Washington, in 2006, 2007, 2013, and 2014 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We used the Puget Sound beach seining protocol (Simenstad and others, 1991) to sample fish populations in the Elwha River estuary complex. The beach seine was 38 m long x 2 m deep, with a 2 m x 2 m bag in the center of the net; mesh size was 3.18 mm, 6.35 mm, and 31.75 mm, for the bag, center panel, and wings, respectively. The seine net was deployed from bank to bank by a small skiff and then pulled on shore. The number of seines conducted each month varied based on estuary conditions and staff availability. Captured fish were quickly transferred to 20-liter plastic buckets filled with aerated estuary water, individually identified, counted, measured, and released at the point of capture. The locations of seines were determined with a hand-held global positioning system (GPS). Fish abundance is reported as catch per unit effort (CPUE), calculated as the total number of each fish species caught in all seines at each site and date, divided by the number of seines conducted. Fish abundance data are provided in a comma-delimited spreadsheet (.csv).

The Washington Natural Heritage Program maintains a database of rare and imperiled species and plant communities for the state. The Element Occurrence (EO) records that form the core of the Natural Heritage database include information on the location, status, characteristics, numbers, condition, and distribution of elements of biological diversity using established Natural Heritage Methodology developed by NatureServe and The Nature Conservancy (TNC). An Element Occurrence (EO) is an area of land and/or water in which a species or natural community is, or was, present. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population or a group of nearby populations (e.g., metapopulation). For community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. Because they are defined on the basis of biological information, EOs may cross jurisdictional boundaries. An Element Occurrence record is a data management tool that has both spatial and tabular components including a mappable feature and its supporting database. EOs are typically represented by bounded, mapped areas of land and/or water or, at small scales, the centroid point of this area. EO records are most commonly created for current or historically known occurrences of natural communities or native species of conservation interest. They may also be created, in some cases, for extirpated occurrences.

This portion of the data release presents aquatic invertebrate abundance data from samples collected in the Elwha River estuary, Washington, in 2007 and 2013 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). Replicate benthic samples were collected at 18 locations throughout the estuary complex using a petite Ponar grab sampler (appx. 2400 mL sample) and sorted through a 500-micron sieve. Samples were fixed in 10 percent formalin for 3 to 5 days before being transferred to 70 percent ethanol until processing. Individuals were identified to the lowest possible taxonomic resolution, but are grouped according to insect Orders in the data for consistency (unless otherwise noted in the attributes). The locations of samples were determined with a hand-held global positioning system (GPS). Aquatic invertebrate abundance data (including fractions of individuals) are provided in a comma-delimited spreadsheet (.csv).

Aim: Niche and dispersal processes influence biodiversity, but their relative importance along latitude is unclear. We predicted that: i) niche processes would dominate at high latitudes due to increased climatic stress, consistent with the physiological tolerance hypothesis and the Dobzhansky-MacArthur hypothesis and ii) dispersal limitation would prevail at low latitudes due to narrower niches and smaller range sizes, as postulated by the dispersal-ecological specialization tradeoff hypothesis, the latitude-niche breadth hypothesis, and Rapoport’s rule. Location: Central United States Time Period: 1993-2019 Major taxa studied: Stream algae, insects, and fish Methods: We examined the relative effects of environment (climate and physicochemistry) vs. space on stream biodiversity in seven latitudinal zones, spanning 19 latitudinal degrees. In each zone, species richness (α-diversity) was analyzed with multiple regression and variance partitioning. Compositional dissimilarity (β-diversity) within zones was assessed with distance-based RDA and variance partitioning. Results: For α-diversity, latitudinal variability of niche and dispersal processes conformed to our predictions in all three groups, except for dispersal processes in insects. However, the drivers of β-diversity did not follow our predictions. The latitude-niche breadth hypothesis and Rapoport’s rule were weakly supported only in fish. Main Conclusions: The importance of niche and dispersal processes varied predictably along the latitudinal gradient only for α-diversity. However, the niche effects were driven mostly by physicochemistry, and the dispersal effects were not always linked with ecological specialization and range size. This suggests that climate-based biodiversity theories do not have particular relevance for the streams in our study. Niche processes had a greater impact than dispersal processes across species groups and diversity metrics, emphasizing the primary role of the environment. Methods Datasets containing 2687 algal sites, 3809 insect sites, and 2753 fish sites from streams in the conterminous United States were used to measure species range size and niche breadth. Smaller subsets from the middle United States (349 algal, and 350 insect and fish sites) were used to determine the relative importance of niche and dispersal processes on α- and β-diversity along a latitudinal gradient, comprising seven latitudinal zones.

Mesopredator trait and eelgrass data from three sites in Washington StateThis file includes raw count and length data for individual mesopredators collected in the field at three sites in Washington State, across three habitat types in three subsites per site. Except at the first subsite, ten individuals of each species were measured out of the total number counted. The file also includes functional traits assigned to each species observed in seine samples, using information freely available at FishBase and other sources detailed in the manuscript and supplementary material. Functional groups based on Gower distances were calculated using the FD package in R, and are also included here. Finally, we include data on eelgrass morphology including shoot density, biomass, leaf length, sheath length, and sheath width, as well as epiphyte load, measured in 10 0.25m^2 quadrats in eelgrass and edge habitat at each subsite.Master.Data.xlsx

Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).

Systematically quantifying diversity across landscapes is necessary to understand how clade history and ecological heterogeneity contribute to the origin, distribution, and maintenance of biodiversity. Here, we chart the spatial structure of diversity among all species in the sedge family (Cyperaceae) throughout the USA and Canada. We first identify areas of remarkable species richness, phylogenetic diversity, and functional trait diversity, and highlight regions of conservation priority. We then test predictions about the spatial structure of this diversity based on the historical biogeography of the family. Incorporating a phylogeny, over 400,000 herbarium records, and a database of functional traits mined from online floras, we find that species richness and functional trait diversity peak in the Northeastern USA, while phylogenetic diversity peaks along the Gulf of Mexico. Floristic turnover among assemblages increases significantly with distance, but phylogenetic turnover is twice as rapid along latitudinal gradients as along longitudinal gradients. These patterns reflect the expected distribution of Cyperaceae, which originated in the tropics but radiated in temperate regions. We identify assemblages with an abundance of rare, range-restricted lineages, and assemblages composed of species generally lacking from diverse regions. We argue that both of these metrics are useful for developing targeted conservation strategies. We use the data generated here to establish future research priorities, including the testing of a series of hypotheses regarding the distribution of chromosome numbers, photosynthetic pathways, and resource partitioning in sedges.

The microsatellite data table (Genalex file format) includes genotypes of 1,903 individual cougars, which were collected by the Washington Department of Fish and Wildlife across Washington, USA and south-central British Columbia, Canada between 2003 and 2018. More specifically, 615 cougar individuals were sampled in the Northern Rocky Mountains, 314 in the northern Cascades, 366 in the Puget Sound and central Cascades, 202 on the Olympic Peninsula, 238 in the southern Cascades, and 168 in the Blue Mountains.

Scientific publication: Wultsch, C., Zeller, K.A., Welfelt, L.S., and R.A. Beausoleil. 2023. Genetic diversity, gene flow, and source-sink dynamics of cougars in the Pacific Northwest. Conservation Genetics

This dataset tracks annual diversity score from 1991 to 2023 for George Washington High School vs. Colorado and School District No. 1 In The County Of Denver And State Of C

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

GenotypesExcel tables containing the two digit genotypes (as used for Genepop) for MHC UBA, MHC DAB and the neutral microsatellites (Oki1a, Oki1b, Oki6, Oki29, Omy77, One8, Ots2, Ots3, Ots107, and Ots108) used to evaluate population diversity and patterns of selection in sockeye salmon. Tissue samples were collected over multiple years as indicated in each table. ID# corresponds to the population numbers given in Table 1 in the manuscript. The number of individuals sampled in each year is given along with the number of individuals with each genotype. The two digit allele designations for the published names for each DAB (Miller et al. 2001) and UBA (McClelland et al. 2011) allele are defined below the main table for each locus; published names correspond to those given in Figure 2 and throughout the text. For questions regarding genotype data please contact Dr. Kristi Miller (Kristi.Miller@dfo-mpo.gc.ca).

Due to the dynamic and diverse nature of winter weather and resultant road conditions, WSDOT maintenance personnel use a variety of methods and materials to help prevent snow and ice formation on state highways. Outcomes of snow and ice control treatments will vary, dependent upon severity of winter weather events, topography, traffic levels and speeds, and proximity to support facilities (i.e. liquid chemical storage tanks and salt stockpiles). While outcomes can be measured in a variety of ways, the motoring public most often measures maintenance efforts in terms of road conditions during and immediately after winter weather events. Maintenance personnel also rate roadway conditions during the winter season. This information is used to project expected road conditions associated with snow and ice treatment levels for different events. The unique nature of individual winter weather events limits the relevance of projected expectations on a given storm, but when ratings from an entire winter season are averaged, they become a good indicator of the Level of Service (LOS) provided by maintenance personnel over the entire season. Winter climates differ greatly between Eastern and Western Washington, so road treatment levels may vary on either side of the Cascades to match the ability to respond to those conditions. Limited funding also requires prioritization of roads for snow and ice control, so that different levels of service will be employed for individual roads and sections of roads

As of 2019, most employees in selected tech companies were male. Biotech company 23andMe was ranked first with ** percent female employees, the only company on the list to feature a majority female workforce. Airbnb was ranked second with ***** percent female employees. Hardware-focused companies Intel, Cisco, and Nvidia closed the ranking with less than ** percent female workforce each. One female to every two males in U.S. tech industry     The majority of employees in the U.S. tech industry are male. Round about a third of all employees in tech occupations in the United States are women – Washington D.C., or the District of Columbia, was the state with the greatest tech gender balance in the U.S., with close to ** percent of tech employees there being female in 2019. In general, females also earn less than their male counterparts: males in the U.S. earn around ****** U.S. dollars on average more than females. Types of tech employment    The IT sector employment includes professionals from various sub-fields, such as, technology manufacturing, telecommunications and internet services, software publishing, etc. The worldwide full-time employment in the ICT sector is forecast to grow by around *********** in the next four years. Full-time employees represent close to*** percent of all IT workers worldwide. Other types of employment include outsourced, contractor, or part-time workers.