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425 results for “Washington”
Linked collectors and determiners for: Washington State University, Charles Gardner Shaw Mycological Herbarium.
Natural history specimen data linked to collectors and determiners held within, "Washington State University, Charles Gardner Shaw Mycological Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0ec61c42-6eda-441e-b327-7ec241c8ec95">https://bionomia.net/dataset/0ec61c42-6eda-441e-b327-7ec241c8ec95</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0ec61c42-6eda-441e-b327-7ec241c8ec95">https://gbif.org/dataset/0ec61c42-6eda-441e-b327-7ec241c8ec95</a>. Formatted as a Frictionless Data package.
FIGURE 1 in Leech Collections from Washington State, with the Description of Two New Species of Placobdella (Annelida: Glossiphoniidae)
FIGURE 1. Map of Washington showing the 13 collection sites in solid circles. Grey areas indicate bodies of water.
FIGURES 2–6. Placobdella kwetlumye, n in Leech Collections from Washington State, with the Description of Two New Species of Placobdella (Annelida: Glossiphoniidae)
FIGURES 2–6. Placobdella kwetlumye, n. sp. 2. Paratype, dorsal view. 3. Paratype, ventral view. 4. Eggs attached to the venter, ventral view. 5. Illustration of the proboscis (p), compact salivary glands (s), and mycetomes (m), in dorsal view. 6. Illustration of the male and female reproductive systems, dorsal view; testisacs not shown. Scale bars = 5 mm.
FIGURES 7–13. Placobdella sophieae, n in Leech Collections from Washington State, with the Description of Two New Species of Placobdella (Annelida: Glossiphoniidae)
FIGURES 7–13. Placobdella sophieae, n. sp. 7. Holotype, dorsal view. 8. Holotype, ventral view. 9. Eyespots showing characteristic "placobdellid" arrangement. 10. Posterior sucker showing the pedicel (peduncle). 11. Posterior sucker showing dorsal papilla. 12. Proboscis (p) and bundle of ductules (d), dorsal view; mycetomes not shown. Diffuse salivary glands indicated by arrows. 13. Dorsal view of the male and female reproductive systems. Scale bars = 3 mm.
FIGURES 14–19 in Leech Collections from Washington State, with the Description of Two New Species of Placobdella (Annelida: Glossiphoniidae)
FIGURES 14–19. Glossiphoniids found in Washington in this study; dorsal and ventral views, left and right respectively. 14. Glossiphonia elegans. 15. Helobdella elongata. 16. H. modesta. 17. Helobdella papillata. 18. Placobdella montifera. 19. Theromyzon cf. rude. Scale bars = 5 mm.
Stable isotopes reveal intertidal fish and crabs use shellfish farms as foraging habitat in Puget Sound, Washington
<p>This is the dataset used for my second thesis chapter. The data consists of carbon and nitrogen stable isotope data collected in 3 locations in North Puget Sound in 2020-2022. Locations are Samish Bay, Padilla Bay, and Drayton Harbor. Stable isotope data is presented in standard permil format, with values referenced from the Vienna Pee Dee Belemnite and atmospheric nitrogen standards, which are the international reference standards commonly used as isotopic references for carbon and nitrogen. </p> <p>Primary productivity samples, snails, oysters, and clams were collected by hand at low tide. Fish and crabs were collected via beach seine and crab pots deployed concurrently with seining. </p> <p>Samples were collected either within bivalve farms, or within eelgrass meadow reference sites outside of farmed areas.</p> <p>All code and data necessary to reproduce the analysis is available via my Github page. </p> <p>The metadata spreadsheet contains descriptions of each column in the datasheet.</p> <p>For more information, see my chapter 2 thesis.</p>
Metabolizable energy and biomass of plants consumed by caribou (Rangifer tarandus) in tundra communities of northern Alaska and deer (Odocoileus spp.) in forests and grasslands of Washington, United States of America
<p>A ubiquitous interaction operates at the base of food webs in many terrestrial ecosystems of the world, creating the foundation for bottom-up regulation of consumers. This interaction plays out as follows. Populations of herbivores deplete plant biomass by foraging. Increasing herbivore population size intensifies this depletion, which in turn, creates a negative feedback regulating herbivore population growth. Large herbivores and the plants they consume offer a useful system for studying this interaction because populations of large herbivores are often regulated by density dependence, defined as the reduction in the per-capita growth rate that occurs as populations grow. Diminished body mass of individuals has been repeatedly observed in high-density populations, implicating plant-mediated, diminished nutrition as the primary cause of density dependence. However, there is no general explanation for why these nutritional deficiencies occur. The data deposited here were used to demonstrate fit new model of the feedbacks from plant biomass to herbivores. The model shows how reduced nutrition of herbivores can result from increased dilution of metabolizable energy in the plant tissue they consume as populations grow even when a large fraction of the consumable plant biomass remains uneaten. This result provides a tidy, mechanistic explanation for bottom-up control of population dynamics of primary consumers in a "green world." </p>
Data from: Cities can grow without harming lakes: Lake Washington has become less eutrophic despite rapid population growth
Open the record for dataset details and reuse information.
Metabolizable energy and biomass of plants consumed by caribou (Rangifer tarandus) in tundra communities of northern Alaska and deer (Odocoileus spp.) in forests and grasslands of Washington, United States of America
Open the record for dataset details and reuse information.
Transcriptome analysis of invasive Gypsophila paniculata (baby's breath) populations from Michigan and Washington, USA.
<p>Invasive species provide an opportune system to investigate how populations respond to new or changing environments. While the impacts of invasive species increase annually, many gaps in our understanding of how these species invade, adapt, and thrive in the areas they are introduced to remain. Using the perennial forb <i>Gypsophila paniculata</i> as a study system, we aimed to investigate how invasive species respond to different environments. Baby's breath (<i>Gypsophila paniculata</i>) was introduced to North America in the late 1800's and has since spread throughout the northwestern United States and western Canada. We used an RNA-seq approach to explore how molecular processes may be contributing to the success of invasive <i>G. paniculata</i> populations that are thought to share similar genetic backgrounds across distinct habitats. Transcription profiles were constructed for root, stem, and leaf tissue from seedlings collected from a sand dune ecosystem in Petoskey, MI (PSMI) and a sagebrush ecosystem in Chelan, WA (CHWA). Using these data we assessed differential gene expression between the two populations and identified SNPs within differentially expressed genes. We identified 1,146 transcripts that were differentially expressed across all tissues between the two populations. GO processes enriched by genes displaying higher expression in PSMI were associated with increased nutrient starvation, while enriched processes in CHWA were associated with abiotic stress. Only 7.4% of the differentially expressed genes across all three tissues contained SNPs differing in allele frequencies of at least 0.5 between the populations. In addition, common garden studies found the two populations differed in germination rate and seedling emergence success, but not in above- and below-ground tissue allocation. Our results suggest that the success of invasive <i>G. paniculata</i> across these two environments is likely the result of plasticity in molecular processes responding to different environmental conditions, although some genetic divergence may also be contributing to these differences.</p>
Lafayette Park - Washington 200th Marker
> **WASHINGTON** > FIRST TOOK COMMAND OF THE > AMERICAN ARMY UNDER THE > GRANDPARENT OF THIS ELM > AT CAMBRIDGE, MASS, > JULY 3, 1775 > ------- > RAISED AND PRESENTED BY MARYLAND > D.A.R., MARKED BY NEW YORK STATE > D.A.R., THIS TREE IS PLANTED > AS PART OF THE 200TH ANNI- > VERSARY OF THE BIRTH OF > GEORGE WASHINGTON, > 1732-1932 Ironically, the elm seems to be gone, but the marker remains. Photogrammetric model created from 75 LG V35 photos in Meshroom and postprocessed in Meshlab. Geolocation: 42.653138° N, 73.756128° W Source: Objaverse 1.0 / Sketchfab
City Of Washington Engine Shaft Mount
The* City of Washington* is located about six miles offshore near Key Largo, FL. Indiana University has conducted research on this 1917 shipwreck since the early 1990's, resulting in the successful addition of the *City of Washington* to the Florida Keys National Marine Sanctuary Shipwreck Trail. This 3D model, of one of the site's more prominent features, was prepared by IU Center for Underwater Science research associate Kirsten Hawley during the 2016 field season in order to demonstrate photogrammetric documentation of submerged cultural resources. Launched in 1877 from Chester, Pennsylvania, the hybrid ship, which used a double mast sailing design along with a triple expansion steam engine, now lies on the ocean floor. The* City of Washington* was present and provided aid following the 1898 explosion of the *U.S.S. Maine* in Havana Harbor, which sparked the beginning of the Spanish-American War. Source: Objaverse 1.0 / Sketchfab
Mount St. Helens Vocano Basin, Washington, USA
Mount St. Helens erupted May 18th, 1980, becoming the deadliest and most economically destructive volcanic event in US history. The eruption and subsequent catastrophic events were eye-opening to many geologists and biologists as to the processes of rapid geologic change, as well as rapid bounce-back of both flora and fauna. One such example of rapid geologic change was the formation of horizontal sediment deposition and canyon formation. Loowit Canyon, Step Canyon, and Engineer's Canyon were all carved quickly in the face of Mount St. Helen's. Engineer's Canyon was carved in soft sediment 100 feet deep from a single event, in a single day. The events at Mount St. Helens on May 18 and subsequent events over the next few years help us understand the potential of other catastrophic events in the past which have helped shape our world rapidly and not necessarily by slow, uniformitarian process. -Nate Loper Source: Objaverse 1.0 / Sketchfab
George Washington Greenough Statue (1840)
Smithsonian source data can be found [here](https://ids.si.edu/ids/media_view?id=3d_package:789cf90a-4387-4ac1-9e96-c7d6a7b9d26f) This media file is in the public domain (free of copyright restrictions). You can copy, modify, and distribute this work without contacting the Smithsonian. For more information and to review the 3D disclaimer, visit the Smithsonian's [Terms of Use](https://www.si.edu/Termsofuse) page. George Washington Artist: Horatio Greenough, born Boston, MA 1805-died Somerville, MA 1852 Sitter: George Washington Medium: marble Dimensions: 136 x 102 x 82 1/2 in. (345.4 x 259.1 x 209.6 cm.) Type: Sculpture Date: 1840 Credit Line: Smithsonian American Art Museum, Transfer from the U.S. Capitol Object Number: 1910.10.3 Department: Painting and Sculpture EDAN-URL: edanmdm:saam_1910.10.3 Source: Objaverse 1.0 / Sketchfab
Lee Chapel at Washington and Lee University
Photogrammetry model of Lee Chapel on the campus of Washington and Lee University in Lexington, Virginia. This model was created by Students in the Advanced Research Cohort program in the summer of 2017. The model was created in Agisoft Photoscan, using approximately 350 photos taken with a DJI Phantom 3 Professional drone. Source: Objaverse 1.0 / Sketchfab
George Washington by Jean-Antoine Houdon
George Washington is a statue by French sculptor Jean-Antoine Houdon from the late 18th century. This particular bronze reproduction stands in Fair Oaks Park across the street from the Minneapolis Institute of Art in Minneapolis, Minnesota. Parts of this model are incomplete as Washington stands on a very tall pedestal and I could not capture all the hidden spots. I was surprised to find out, after creating this model, that the bronze I made it from lacks the staff Washington rests his right hand on in the original. Lost perhaps? To learn more about this sculpture, please follow this Wikipedia link: https://en.wikipedia.org/wiki/George_Washington_(Houdon) Source: Objaverse 1.0 / Sketchfab
George Washington statue at Druid Hill Park
On the night of June 20th, 2020, a statue of George Washington at Druid Hill Park in Baltimore was covered with red house paint and white graffiti. Source: Objaverse 1.0 / Sketchfab
Washington Sq. NYC World War I Memorial Flagpole
Dedicated in 1920, inscription reads, "IN HONOR OF ALL THOSE FROM THIS DISTRICT WHO GAVE THEIR LIVES IN THE WORLD WAR." Source: Objaverse 1.0 / Sketchfab
Measurements of heavy metals in the moss Orthotrichum lyellii collected using community science in the Duwamish Valley, Seattle, Washington, U.S.A.
<p>Heavy metals concentrations often vary at small spatial scales not captured by air monitoring networks, with implications for environmental justice in industrial-adjacent communities. Pollutants measured in moss tissues are commonly used as a screening tool to guide use of more expensive resources, like air monitors. We piloted a community science approach, engaging over 55 people from nine institutions, to map heavy metals using moss in two industrial-adjacent neighborhoods. Local youth led sampling of the moss <em>Orthotrichum lyellii</em> from trees across a 250×250-m sampling grid (n = 79). We compared their data with expert-collected samples (n = 19) using Principal Components Analysis and Procrustes Analysis. We mapped 21 chemical elements measured in moss, focusing on 6 toxic 'priority' metals: arsenic, cadmium, chromium, cobalt, lead, and nickel. We compared local data, using t-tests and boxplots, with two 'reference datasets' of <em>O. lyellii</em> collected in Portland, Oregon, and in Seattle City Parks. We also use Principal Components Analysis to describe major gradients in metals in the study area. Our data submission includes two R scripts and four datasets of heavy metals in moss, including the two reference datasets, which will enable replication of our analyses as well as novel analyses.</p>
Synthetic population for USA_WASHINGTON
<p><strong>Synthetic populations for regions of the World (SPW) | Washington</strong></p><p><strong>Dataset information</strong></p><p>A synthetic population of a region as provided here, captures the people of the region with selected demographic attributes, their organization into households, their assigned activities for a day, the locations where the activities take place and thus where interactions among population members happen (e.g., spread of epidemics).</p> <p><strong>License</strong></p><p><a href="https://creativecommons.org/licenses/by/4.0/">CC-BY-4.0</a></p> <p><strong>Acknowledgment</strong></p><p>This project was supported by the National Science Foundation under the NSF RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks (PI: Madhav Marathe, Co-PIs: Henning Mortveit, Srinivasan Venkatramanan; Fund Number: OAC-2027541).</p> <p><strong>Contact information</strong></p><p>Henning.Mortveit@virginia.edu</p> <p><strong>Identifiers</strong></p><table> <thead><tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td>Region name</td> <td>Washington</td> </tr> <tr> <td>Region ID</td> <td>usa_140002872</td> </tr> <tr> <td>Model</td> <td>coarse</td> </tr> <tr> <td>Version</td> <td>0_9_0</td> </tr> </tbody> </table> <p><strong>Statistics</strong></p><table> <thead><tr> <th>Name</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>Population</td> <td>6618311</td> </tr> <tr> <td>Average age</td> <td>37.3</td> </tr> <tr> <td>Households</td> <td>2683070</td> </tr> <tr> <td>Average household size</td> <td>2.5</td> </tr> <tr> <td>Residence locations</td> <td>2683070</td> </tr> <tr> <td>Activity locations</td> <td>651472</td> </tr> <tr> <td>Average number of activities</td> <td>5.7</td> </tr> <tr> <td>Average travel distance</td> <td>72.5</td> </tr> </tbody> </table> <p><strong>Sources</strong></p><table> <thead><tr> <th>Description</th> <th>Name</th> <th>Version</th> <th>Url</th> </tr> </thead> <tbody> <tr> <td>Activity template data</td> <td>World Bank</td> <td>2021</td> <td><a href="https://data.worldbank.org">https://data.worldbank.org</a></td> </tr> <tr> <td>Administrative boundaries</td> <td>ADCW</td> <td>7.6</td> <td><a href="https://www.adci.com/adc-worldmap">https://www.adci.com/adc-worldmap</a></td> </tr> <tr> <td>Curated POIs based on OSM</td> <td>SLIPO/OSM POIs</td> <td></td> <td><a href="http://slipo.eu/?p=1551">http://slipo.eu/?p=1551</a> <a href="https://www.openstreetmap.org/">https://www.openstreetmap.org/</a></td> </tr> <tr> <td>Household data</td> <td>IPUMS</td> <td></td> <td><a href="https://international.ipums.org/international">https://international.ipums.org/international</a></td> </tr> <tr> <td>Population count with demographic attributes</td> <td>GPW</td> <td>v4.11</td> <td><a href="https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11">https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11</a></td> </tr> </tbody> </table> <p><strong>Files description</strong></p><p><strong>Base data files (usa_140002872_data_v_0_9.zip)</strong></p><table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>usa_140002872_person_v_0_9.csv</code></td> <td>Data for each person including attributes such as age, gender, and household ID.</td> </tr> <tr> <td><code>usa_140002872_household_v_0_9.csv</code></td> <td>Data at household level.</td> </tr> <tr> <td><code>usa_140002872_residence_locations_v_0_9.csv</code></td> <td>Data about residence locations</td> </tr> <tr> <td><code>usa_140002872_activity_locations_v_0_9.csv</code></td> <td>Data about activity locations, including what activity types are supported at these locations</td> </tr> <tr> <td><code>usa_140002872_activity_location_assignment_v_0_9.csv</code></td> <td>For each person and for each of their activities, this file specifies the location where the activity takes place</td> </tr> </tbody> </table> <p><strong>Derived data files</strong></p><table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>usa_140002872_contact_matrix_v_0_9.csv</code></td> <td>A POLYMOD-type contact matrix constructed from a network representation of the location assignment data and a within-location contact model.</td> </tr> </tbody> </table> <p><strong>Validation and measures files</strong></p><table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>usa_140002872_household_grouping_validation_v_0_9.pdf</code></td> <td>Validation plots for household construction</td> </tr> <tr> <td><code>usa_140002872_activity_durations_{adult,child}_v_0_9.pdf</code></td> <td>Comparison of time spent on generated activities with survey data</td> </tr> <tr> <td><code>usa_140002872_activity_patterns_{adult,child}_v_0_9.pdf</code></td> <td>Comparison of generated activity patterns by the time of day with survey data</td> </tr> <tr> <td><code>usa_140002872_location_construction_0_9.pdf</code></td> <td>Validation plots for location construction</td> </tr> <tr> <td><code>usa_140002872_location_assignement_0_9.pdf</code></td> <td>Validation plots for location assignment, including travel distribution plots</td> </tr> <tr> <td><code>usa_140002872_usa_140002872_ver_0_9_0_avg_travel_distance.pdf</code></td> <td>Choropleth map visualizing average travel distance</td> </tr> <tr> <td><code>usa_140002872_usa_140002872_ver_0_9_0_travel_distr_combined.pdf</code></td> <td>Travel distance distribution</td> </tr> <tr> <td><code>usa_140002872_usa_140002872_ver_0_9_0_num_activity_loc.pdf</code></td> <td>Choropleth map visualizing number of activity locations</td> </tr> <tr> <td><code>usa_140002872_usa_140002872_ver_0_9_0_avg_age.pdf</code></td> <td>Choropleth map visualizing average age</td> </tr> <tr> <td><code>usa_140002872_usa_140002872_ver_0_9_0_pop_density_per_sqkm.pdf</code></td> <td>Choropleth map visualizing population density</td> </tr> <tr> <td><code>usa_140002872_usa_140002872_ver_0_9_0_pop_size.pdf</code></td> <td>Choropleth map visualizing population size</td> </tr> </tbody> </table>
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