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City of Seattle, Seattle Public Utilities, Knotweed Control 2010-current, Cedar River Municipal Watershed, King County, WA
The City of Seattle’s Cedar River Municipal Watershed is managed to support and supply clean drinking water to the greater Seattle area. The watershed covers 91,000 acres, hosts a rich diversity of plants, animals, and habitats, and is owned by the City of Seattle. In 1999, the noxious weed knotweed was detected in the watershed and control was limited to manual and mechanical methods due to an herbicide moratorium intended to prevent broadcast spraying of roadside vegetation. These manual control methods were largely unsuccessful and impractical for controlling acres of knotweed growing in remote locations of the watershed. In 2010, Seattle Public Utilities passed the first ordinance through Seattle City Council to approve the limited use of imazapyr to control knotweed in the watershed for three years. Successive knotweed ordinances have been passed, allowing for herbicide control of knotweed in the watershed from 2010-current. The reports included in this package are provided to Seattle City Council annually as a requirement of the ordinance. The data table provides the control history since the passage of the first ordinance and includes information about patch size and amount of imazapyr used. This data package will be updated annually with ongoing control efforts.
City of Seattle, Seattle Public Utilities, Goshawk Nesting 1992 - Current, Cedar River Municipal Watershed and South Fork Tolt River Municipal Watershed, King County, WA
This data package contains American goshawk (Astur atricapillus) (formally known as Northern Goshawk [Accipiter gentilis]) survey data and nest location records, beginning in 1992 to present day, from the Cedar River Municipal Watershed and the South Fork Tolt River Municipal Watershed in King County, Washington, USA. Goshawks are classified as a sensitive species and are included in the Habitat Conservation Plan for the Cedar River Municipal Watershed. Surveys have been conducted periodically at historical nesting territories, depending on staff capacity and the potential for disturbances from planned infrastructure projects or forest thinning operations. These surveys were not based on a statistically valid random sampling design and did not always strictly follow established protocols. Survey methods primarily included broadcast surveys using a portable cassette player and megaphone but also involved active searches for nests or signs, as well as opportunistic detections during other forest management activities. At some nest sites, plot-level forest structure and characteristics were also documented. Nest productivity monitoring was generally not conducted, as the primary objective of the surveys was to minimize disturbance and prevent inadvertent destruction of nests.
City of Seattle, Seattle Public Utilities, Restoration Thinning Trial, 2005 - 2017, Cedar River Municipal Watershed, King County, WA
The Restoration Thinning (RT) Program in the Cedar River Municipal Watershed (CRMW) was one of three forest restoration programs (the others being Ecological Thinning and Planting) defined and funded through the Cedar River Watershed Habitat Conservation Plan (HCP) that was signed and initiated in April of 2000. Restoration thinning and ecological thinning projects were combined into the 'Upland Forest Thinning' project and are ongoing today to meet objectives outlined in the Habitat Conservation Plan and Forest Managment Plan. The primary goal of the RT program, which is analogous to pre-commercial thinning, was to actively thin dense young second-growth forest stands (generally less than 30 years old) to facilitate ecological development towards old-growth forest habitat conditions. Objectives of RT include: Reduce competition among trees. Stimulate tree growth. Increase light penetration under the top tree canopy. Increase tree and understory plant species diversity. Accelerate forest development beyond the competitive exclusion stage towards a more biologically diverse stage. Extend the forest development stand initiation stage such that diverse species become established and diverse stand structures develop. Provide multiple development pathways for variable forest stand structures. Reduce long-term fire hazard. Increase resilience to catastrophic windthrow, insect, or disease outbreak. Increase habitat connectivity and structural variability of riparian areas. This data package describes a forest restoration trial in young conifer forests of the western central Cascade Range in Washington State, USA. Young second-growth forests often regenerate as very dense, homogeneous stands following harvesting. These forests have low species diversity and trees often experience strong competition for resources. To increase tree vigor and growth and stimulate development of diverse understory, shrub species stands are thinned with the long-term goal to restore diverse func
City of Seattle, Seattle Public Utilities, Riparian Restoration 2001-current, Cedar River Municipal Watershed, King County, WA
The City of Seattle’s Cedar River Municipal Watershed is managed to support and supply clean drinking water to the greater Seattle area. The watershed covers 91,000 acres, hosts a rich diversity of plants, animals, and habitats, and is owned by the City of Seattle. In 2001 the City of Seattle prepared a multi-species Habitat Conservation Plan (HCP) to comply with the federal Endangered Species Act and to address a variety of related natural resource issues in the Cedar River Watershed. As defined in the HCP, the riparian zone is the area adjacent to surface waters and areas of high groundwater levels where the terrestrial system both influences, and is influenced by, the aquatic system. The City’s strategies for the riparian ecosystem are designed to protect the region’s supply of high-quality drinking water, to preserve and enhance stream and riparian ecosystems within the municipal watershed, and to restore and rehabilitate stream and riparian functions. This package includes as-builts from riparian restoration projects, shapefiles of planting locations, and their associated monitoring data. The data is a result of monitoring that occurred after installation of riparian restoration projects in the Cedar River Municipal Watershed. The monitoring data includes plant survivorship but varies by project in what information was collected. The monitoring data was collected by multiple people over many years. Some projects were monitored for several years after project installation and some projects were monitored only once. Some projects included experimental plantings that were assigned a variety of treatments to test the efficacy of different planting strategies. In this instance, the monitoring data can be used to identify the success of the various strategies. Monitoring tabular data will be updated as more restoration projects are installed, and as previously installed projects receive continued monitoring.
City of Seattle, Seattle Public Utilities, Bull Trout Fry Emergence Trapping 2023-current, Cedar River Municipal Watershed, King County, WA
Chester Morse Lake is managed for drinking water supply for the City of Seattle by Seattle Public Utilities (SPU). The reservoir was created in 1915 upon the completion of Masonry Dam, which raised the natural level of Cedar Lake from 1,538 feet to normal operational levels between 1,550 and 1,554 feet, with a maximum refill level of 1,565 feet. Construction of the dam removed several miles of potential stream spawning, incubation, and rearing habitat for an adfluvial population of bull trout, a species listed as threatened under the U.S. Endangered Species Act. The reservoir fluctuates widely across operational elevations during fall and winter storms. During reservoir refill in springtime, however, the reservoir will be continuously filled until reaching peak elevation (1,560 -1,565 feet) terminally inundating habitat where bull trout had previously spawned and embryos and alevins continue to develop in the streambed. Embryo incubation and fry emergence timing data are required to improve SPU's understanding of frequency and magnitude of operational impacts to bull trout embryos developing in stream habitats affected by reservoir inundation. This information enables empirically-based estimates for the number of embryos in the streambed vulnerable to impacts of inundation during fall and winter storms, which is an intermittent impact period for embryos; and reservoir refill, which is a terminal impact period for embryos. Between two and six hand-driven redd egg pocket water quality monitoring wells and quarantine fences (to avoid additional spawning and superimposition) were deployed near primary egg pockets the week of redd observation. Temperature and dissolved oxygen data were recorded in wells and weekly logger downloads informed biologists of incubation conditions (temperature and oxygen) and accumulated temperature units (ATU). Upon reaching approximately 500 ATU, fry emergence traps were deployed over quarantined redds and subsequently, cod ends were sampled
City of Seattle, Seattle Public Utilities, Marbled Murrelet Habitat Enhancement Experiment 2010, Cedar River Municipal Watershed, King County, WA
This experimental project aims to enhance nesting habitat for the marbled murrelet through active habitat restoration in second-growth forests. The project was conducted within the Cedar River Municipal Watershed (CRMW) in Washington State, with the goal of determining if silvicultural treatments, such as creating canopy gaps and tree topping, can accelerate the growth of tree branches suitable for murrelet nesting. The project was implemented in 2010 at a 75-acre site within CRMW. Treatments included removing surrounding trees to increase canopy openness ("gaps"), topping trees to stimulate branch growth, and combining both methods. The site was specifically chosen for its proximity to the murrelet detections in nearby old growth stands, and site suitability in terms of tree age, species composition, and manageable topography. Data collected focused on tree growth and structure characteristics critical to murrelet nesting. A total of 48 trees received treatments, which were systematically compared to untreated controls to assess outcomes. The initial implementation confirmed logistical feasibility and budget adherence, with plans for monitoring and resampling established for the 2020s. If successful, these techniques could be replicated across various environmental conditions to expand viable nesting habitat for the marbled murrelet, directly supporting conservation objectives outlined in the CRMW Habitat Conservation Plan.
City of Seattle, Seattle Public Utilities, Delta Plant Communities 1988-2007, Cedar River Municipal Watershed, King County, WA
Seattle Public Utilities manages the Cedar River Municipal Watershed and reservoir, Chester Morse Lake, to provide drinking water for 1.6 million residents in the greater Seattle area. The Cedar and Rex rivers are the two largest tributaries to Chester Morse Lake and flow over broad, low-gradient deltas. The deltas have mostly fine sediments, sinuous low-flow channels, and an extensive wetland complex with aquatic, herbaceous, shrub, and forest components. Delta plant communities were mapped in 1988, 1996, and 2007 using aerial photography. Plant communities were ground-truthed and boundaries and classification of polygons were corrected where errors were evident. Plant communities were classified into major structural classes, including herbaceous, shrub, deciduous forest, mixed deciduous/conifer forest, and conifer forest. A system of permanent plots was established on the Cedar and Rex river deltas and measured in 1988, 1996, and 2007. Transects comprised of sample plots every 25 meters were surveyed for herbaceous and shrub cover. An additional transect was established in the floodplain of the Cedar River through mixed deciduous and conifer forest to measure tree diameter at breast height and species. This package is complete, and the data were analyzed to evaluate the potential for future adverse impacts to delta plant communities resulting from changes to the reservoir operating regime.
New England Enhanced Forest Inventory
Light detection and ranging (LiDAR) has become a common tool for generating remotely sensed forest inventories. However, regional modeling of forest attributes using LiDAR has remained challenging due to varying parameters between LiDAR datasets, such as pulse density. Here we develop a regional model using a three dimensional convolutional neural network (CNN). We then apply our model to publicly available data over New England, generating maps of fourteen forest attributes at a 10 m resolution over 85 % of the region. Attributes include aboveground biomass (kg), total biomass (kg), tree count (#), percent conifer (%), basal area (m^2), mean height (m), quadratic mean diameter (cm), percent spruce/fir (%), percent white pine (%), inner bark volume (m^3), merchantable volume (m^3), and spruce/fir volume (m^3. All values correspond to the amount per pixel cell (I.E. kg of biomass found within that pixel). Map/model performance was assessed using the USFS’s FIA inventory, which constituted an independent dataset free from spatial autocorrelation. More data can be found in the following pre-print: Ayrey, E., Hayes, D. J., Kilbride, J. B., Fraver, S., Kershaw, J. A., Cook, B. D., & Weiskittel, A. R. (2019). Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Forest Inventories. bioRxiv, 580514.
LAGOS-NE-LIMNO v1.087.3: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013
This data package, LAGOS-NE-LIMNO v1.087.3, is 1 of 5 data packages associated with the LAGOS-NE database-- the LAke multi-scaled GeOSpatial and temporal database. With this release, only this data package is being updated and users are expected to use prior releases of the other types of data. Please see the attached additional documentation for a full description of the changes that have been made for this new release.The data packages that make up LAGOS-NE include the following information on lakes and reservoirs in 17 lake-rich states in the Northeastern and upper Midwestern U.S. (1) LAGOS-NE-LOCUS v1.01: lake location and physical characteristics for all lakes greater than one hectare. (2) LAGOS-NE-GEO v1.05: ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes and for all spatial resolutions, also called ‘zones’ (i.e., ecoregions, states, counties). These geospatial data were created by processing national-scale and publicly-accessible datasets to quantify numerous metrics at multiple spatial resolutions. (3) LAGOS-NE-LIMNO v1.087.3: in-situ measurements of lake water quality from the past three decades for approximately 2,600-12,000 lakes, depending on the variable. This module was created by harmonizing 87 water quality datasets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This module includes variables that are most commonly measured by state agencies and researchers for studying eutrophication. For each water quality data value, we also include metadata related to the sampling program, methods, qualifiers with data flags from the original program (qual, not standardized for LAGOS-NE), censor codes from our quality control procedures (censorcode, standardized for LAGOS-NE), and the date of each sample. (4) LAGOS-NE-GIS v1.0: the GIS data layers for lakes, wetlands, and streams, as well as the spatial resolutions that were used to create the LAGOS-N
Clear Creek Gravel Augmentations, 1996-2021
Clear Creek Anadromous Fish Habitat Restoration and Management Project (aka “Gravel Augmentations”), 1996-2021 The purpose of the Clear Creek Gravel Augmentation Project (the Project) is to improve habitat conditions in Lower Clear Creek for anadromous salmonid species, including spring-run, fall-run, and late fall-run Chinook salmon, and Central Valley steelhead. This programmatic effort was formally titled Lower Clear Creek Anadromous Fish Habitat Restoration and Management Project (LCCAFHRMP), though “gravel augmentations” remains the most commonly use name for the project. The Project is implemented annually to improve fish habitat by placing gravel and other desirable materials into the stream channel with the intent of restoring and maintaining the balance of sediment in Clear Creek, providing desirable creek channel attributes like floodplain connectivity, channel migration, fish habitat formation (e.g. spawning habitat), and supporting riparian community development. The Project is proposed to meet the requirements of the CVPIA 3406 (b)(12) which has identified the lack of in-stream spawning gravel as a significant factor limiting anadromous fish reproduction in Clear Creek. The Clear Creek Gravel Augmentation Project consists of adding clean (washed), size-sorted natural river gravel directly (riffle supplementation) or indirectly (talus cone, lateral berm) into the Clear Creek channel, along with other desirable materials (i.e., large wood and boulders). The project is funded by the CVPIA. Each year, the Clear Creek Technical Team chooses the top priority gravel augmentation sites for implementations.
Herbivore dung and parasite counts, Ol Pejeta Conservancy and Mpala Research Centre, Kenya (2015-2018)
Data package contains two datasets of dung surveys, one dataset of parasite egg measurements, and two camera trap datasets collected from Mpala Research Centre and Ol Pejeta Conservancy, Laikipia County, Kenya from November 2015-September 2018. Datasets are provided as part of the publication `Watering sources aggregate parasites with increasing effects in more arid conditions`. Source data files for figures in the manuscript are also provided here.
Concentration of dissolved organic carbon in water samples taken from the Upper Clark Fork River (Montana, USA) during water year 2019 (1 Oct 2018 - 30 Sep 2019)
These data were collected to support monitoring of the Upper Clark Fork River restoration, and data collection was funded by the US NSF Long Term Research in Environmental Biology (LTREB) program and the US NSF EPSCoR funded Montana Consortium for Research on Environmental Water Systems. The LTREB monitoring project consists of monthly or bi-weekly water quality monitoring across a 200-km restoration gradient contaminated by historic mining practices to monitor inorganic phosphorus and nitrogen concentrations, biotic standing stocks, and heavy metal contamination. The original analytical intent for these data was to assess the response of river dissolved organic carbon to the floodplain restoration. Data are Aurora Total Organic Carbon combustion analyses of the concentration of organic carbon dissolved in filtered samples of well-mixed river thalweg water. Data are from the 2019 water year (1 Oct 2018 to 30 Sep 2019). Data were collected on the Upper Clark Fork River (USGS HUC 17010201) at project sites distributed along the river from the vicinity of Anaconda to Missoula, Montana, USA.
Wildflower survey data from French Broad River Basin, North Carolina, 2014
This dataset includes measures of the abundance of blooming wildflowers from field surveys conducted in the French Broad River Basin in western North Carolina, USA. This basin is in the Southern Appalachian Mountains. Data were collected to examine the spatial and seasonal supply of biodiversity-based cultural ecosystem services (CES), in this case, nature study by viewing wildflowers. The data includes blooming species observed at 69 sites on public and private lands during the period 2014-04-01 to 2014-08-08. Flower species were characterized as charismatic if represented in tourism websites. Environmental data for 56 sites are provided: elevation, early season precipitation, mean summer temperature, land cover diversity, tree cover, vegetation structural diversity, vegetation annual productivity, and building density at local and landscape scales. Graves et al. (2017, doi: 10.1007/s10980-016-0452-0) used these data to analyze seasonal shifts in supply of floral resources and how those shifts impacted public access to projected resource hotspots. Relationships between landscape gradients, biodiversity, and ecosystem service supply varied seasonally, and the analysis identified CES hotspots otherwise obscured by simple proxies. Landscape models of biodiversity-based cultural ecosystem services should include seasonal dynamics of biotic communities to avoid under- or over-emphasizing the importance of specific locations in ecosystem service assessments.
Mohonk Preserve Forest Health Monitoring Data 2018-2021
In 2018, the Mohonk Preserve’s Daniel Smiley Research Center implemented a long-term research project aimed at inventorying forest vegetation and monitoring forest health. The protocol was adapted from the National Park Service’s Northeast Temperate Network (https://www.nps.gov/im/netn/forest-health.htm). This project monitors the composition and structure of the Mohonk Preserve forests, and collects data for assessing forest soil condition, impacts of white-tailed deer herbivory, and land cover. In 2018, 24 plots were established in four habitat types: Eastern hemlock forest (n = 6), white ash forest (n = 6), historic prescribed burn forest (n = 6), and randomly selected forest (n = 6). In 2021, an additional 14 plots were established in two historic Breeding Bird Survey research areas: Eastern hemlock forest (n = 8) and pitch pine forest (n = 6). All data collection occurred between the months of June through August. Plots are scheduled to be resampled every four years.
Salt River Wetlands denitrification rate, dissimilatory nitrate reduction to ammonium rate, dissolved organic carbon concentration in June 2016 as well as soil porosity and bulk density
Raw and derived data used to calculate denitrification and dissimilatory nitrate to ammonium (DNRA) from push-pull experiments with added isotopically labelled nitrate. Experiments were conducted in 2016 in the Salt River Accidental Wetlands in three different patch types: Unvegetated, dominated by Ludwigia peploides, and dominated by Typha species (T. domingensis and T. latifolia). Data include start and end of incubation concentration of nitrate, ammonium, atom percent 15N in ammonium, dissolved organic carbon, excess mass 29-N2, and excess mass 30-N2. Soil data was collected from the same patch types including soil moisture, porosity, and bulk density.
LAGOS-US DEPTH v1.0: Data module of observed maximum and mean lake depths for a subset of lakes in the conterminous U.S.
The LAGOS-US LAKE DEPTH v1.0 module (hereafter, called DEPTH) contains in situ measurements of lake depth for a subset of all lakes (n = 17,675) in the conterminous U.S. > 1 ha (3.7% of 479,950) that are in the LAGOS-US LOCUS v1.0 data module (Smith et al. 2021). All 17,675 lakes in DEPTH have a maximum depth value and 6,137 lakes have a mean depth. DEPTH includes approximately 65 data sources obtained from community, government, and university monitoring programs, as well as academic reports and commercial websites. DEPTH includes lake identifiers, lake location, lake area, lake depth (both maximum and mean depth when available), source information, and data flags. The unique lake identifier (lagoslakeid) for all lakes is the same one used in LAGOS-US LOCUS v1.0.
The Jefferson Project 2017 water quality data from two vertical profiler stations in Lake George, NY, USA.
The Jefferson Project at Lake George – a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association – combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake’s food web and overall water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2017, The Jefferson Project deployed two vertical profiler stations on the lake, collecting data on water quality and meteorology. Meteorological data have been included with the Jefferson Project Weather Station dataset for 2017. These vertical profiler stations are named VP_AnthonysNose and VP_TeaIsland. The water quality data are collected by EXO2 Multi-parameter sonde sensors. The sensors collect data at 1 meter depth increments, starting at 1 meter and proceeding to 2 meters off bottom. The data is transferred in near real-time to an off-site database for monitoring and review. The data provided have undergone data correction by Jefferson Project researchers.
The Jefferson Project 2017 weather data from seven surface weather stations on Lake George, NY, USA.
The Jefferson Project at Lake George – a partnership between Rensselaer Polytechnic Institute, IBM Research, and Lake George Association – combines Internet of Things technology and powerful analytics with science to create a new model for environmental monitoring and prediction. The project is building a computing platform that captures and analyzes data from a network of sensors tracking water quality and movement. These sensor data are combined with other monitoring and experimental data to create a thorough understanding of the factors that drive the lake’s food web and overall water quality. More information about The Jefferson Project is available at https://jeffersonproject.rpi.edu/ In 2017, The Jefferson Project had five weather monitoring stations around the lake collecting data on precipitation, temperature, wind, and air quality. These stations are 'WX-CedarLane', 'WX-DFWI', 'WX-GullRock', 'WX-MossyPoint' and 'WX-WhaleRock'. Weather data from two vertical profiler sites, 'VP-AnthonysNose' and 'VP-TeaIsland', are also included in this dataset. The stations have a sensor payload that include some combination of the following sensors: HC2-S3 sensor, Campbell Scientific CS616 soil moisture sensor, LiCor LI-200R pyranometers, RM Young 85006 anemometer, Vaisala Weather Transmitter WXT series (520 & 530 models), HyQuest TB3 tipping bucket rain gauge, N-Con wet deposition sampler. The sensors collect data at high-frequency (~1 sample per minute) and the data is transferred in near real-time to off-site databases for monitoring and review by Jefferson Project researchers. Data provided is level 4 data which has undergone data correction and down sampling to an hourly frequency.
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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.