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Baltimore Ecosystem Study: Stewardship Mapping And Assessment Project (STEW-MAP) survey results 2011 and 2019
Addressing the challenges of sustainable and equitable city management in the 21st century requires innovative solutions and integration from a range of dedicated actors. In order to form and fortify partnerships of multi-sectoral collaboration, expand effective governance, and build collective resiliency it is important to understand the network of existing stewardship organizations. The term ‘stewardship’ encompasses a spectrum of local agents dedicated to the evolving process of community care and restoration. Groups involved in stewardship across Baltimore are catalysts of change through a variety of conservation, management, monitoring, transformation, education, and advocacy activities for the local environment – many with common goals of joint resource management, distributive justice, and community power sharing. The “environment” here is intentionally broadly defined as land, air, water, energy and more. The Stewardship Mapping and Assessment Project (STEW-MAP) is a method of data collection and visualization that tracks the characteristics of organizations and their financial and informational flows across sectors and geographic boundaries. The survey includes questions about three facets of environmental stewardship groups: 1) organizational characteristics, 2) collaboration networks, and 3) stewardship “turfs” where each organization works. The data have been analyzed alongside landcover and demographic data and used in multi-city studies incorporating similar datasets across major urban areas of the U.S. Additional information about the growing network of cities conducting stewmap can be found here: https://www.nrs.fs.usda.gov/STEW-MAP/ Romolini, Michele; Grove, J. Morgan; Locke, Dexter H. 2013. Assessing and comparing relationships between urban environmental stewardship networks and land cover in Baltimore and Seattle. Landscape and Urban Planning. 120: 190-207. https://www.fs.usda.gov/research/treesearch/44985 Johnson, M., D. H. Locke, E. Svendsen, L
Ground cover and biomass projection photos for the BBC collapse scar
We used digital photographs to project the biomass over the growing season. This data set contains ground cover photos of plots from the center of the BBC collapse scar (0m) into the surrounding fire scar (30m) of the Survey Line Fire (burned in June-July 2001) for the growing seasons of 2003 and 2004. Also included are ground cover photos of plots along the biomass transect used to create the projected biomass data. We calculated the percent cover of vegetation for the biomass and intensively monitored transects from digital photographs. Photographs were rectified to 10,000 x 10,000 pixels and a 20 x 20 grid was applied to the photograph. The percentage of each plant type was estimated in each grid cell. The percent cover was regressed against the measured dry biomass to project biomass for the intensively measured transect. We did not project moss biomass and instead assumed it to be the same for both transects. We projected the change in biomass over the growing season from the change in greenness determined from digital photographs. We chose five dates throughout the growing season with pictures of equal color saturation, focus and aspect. From these we estimated the percent photosynthetic biomass by selecting areas of green on the photograph and calculating the percentage of the total pixels made up by these areas. We estimated curves for the change in % green vegetation for 0, 6 m and the mean of the remaining distances along the transect (12, 18, 24, and 30 m), as these regions of the transect exhibited different patterns of greenness across the growing season of 2004. To estimate photosynthetic biomass over the growing season, we corrected the biomass estimates for the study transect to account for the change in green vegetation associated with growth and senescence
Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences X - Research Project Site Information 2014
This data set was collected as a part of Brian Houseman's MS Thesis, Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences (December 2017). Data include research site location information. Data were collected on study plots established across two burn scars (2004 Boundary Fire and 1971 Wickersham Dome Fire) within the Yukon-Tanana Uplands ecoregion of interior Alaska.
Wildlife in the greater Phoenix, Arizona, USA metropolitan area: results of a camera-trapping project (2019-2020)
The goal of this research project was to evaluate how wildlife populations responded to the gradient of urbanization. We deployed 50 wildlife cameras across the gradient of urbanization from downtown Phoenix to nearby wildland areas from January 2019 to August 2020. We documented a suite of wildlife species, from small mammals and birds to large mammals. Data present whether a species was detected at a site during this time period.
Wildlife along the Salt River corridor of the greater Phoenix, Arizona, USA metropolitan area: results of a camera-trapping project (2020-2021)
The goal of this research project was to evaluate how wildlife populations responded to the gradient of urbanization, water, and vegetation. We deployed 43 wildlife cameras across the gradient of urbanization January 2021 to January 2022. We documented a suite of wildlife species, from small mammals and birds to large mammals. Data present whether a species was detected at a site during this time period.
Tree growth (1999-2012) for the Functional Diversity project, Coweeta Hydrologic Laboratory, Otto, North Carolina
The importance of the herbaceous layer in regulating ecosystem processes in deciduous forests is generally unknown. We use a manipulative study in a rich, mesophytic cove forest in the southern Appalachians to test the following hypotheses: (i) the herbaceous functional group (HFG) in mesophytic coves accelerates carbon and nutrient cycling, (ii) high litter quality input and rapid nutrient turnover associated with HFG will have a positive effect on overstory tree growth, and (iii) the HFG regulates tree regeneration with negative effects on seedling establishment due to competition for resources. We established treatment plots in a mesic, cove-hardwoods forest and removed the herbaceous flora (HR, removed twice per year) or added herbaceous organic material (OMA, once per year) for comparison to a no removal (NR) reference for a total of 14 years. The OMA treatment stimulated soil N-mineralization and increased litterfall mass and N content. OMA N-mineralization rates were more than two times greater than both the NR and HR treatments; however, we did not detect significant differences in soil CO2 efflux among treatments. Higher overstory litterfall mass and N in the OMA treatment plots indicated that overstory trees were benefiting from the enhanced soil N-mineralization. Higher overstory leaf mass and N suggests an important linkage between HR and aboveground net primary production even though this did not translate into greater tree basal area increment. We found an increase in regeneration of all tree species with HFG removal, and the response was particularly evident for Acer rubrum seedlings.
Forest floor weights and Oe-Oa soil depths from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N analyses.
Groundwater well chemistry from 7 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Shallow groundwater wells were installed at 7 sites throughout Macon County, NC beginning in 2011. Sites represent a gradient of land use, including relatively undisturbed forests, valley bottomlands in agriculture, and mountain developments. Nine groundwater wells were placed along 3 "ridge-to-riparian" transects at each site. Collections were made every other week.
Soil bulk density measurements from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Soil bulk density samples were collected for the soil chemistry studies at the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. Sites were sampled 9/2013-11/2013. Samples were obtained from 4 plots in each site at 3 soil depths (0-10 cm, 10-30 cm, and 30+ cm).
Forest floor carbon and nitrogen content from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N analyses.
Forest floor cation content from 9 Hilllslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N and cation analyses.
Soil pH measurements from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Acidity of soil was analyzed as part of the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. There were 12 10 x 10-m plots at each site. A soil probe was used to collect soils from 3 depths at each plot: 0-10 cm, 10-30 cm, and 30 + cm. Soil was then dried, processed, and analyzed for pH at the Coweeta Analytical Laboratory.
Soil phosphorus measurements from 9 Hillslope Project sites in Macon County, North Carolina, within the upper Little Tennessee River Basin
The percent of Phosphorus in soil was analyzed as part of the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. There were 12 10 x 10-m plots at each site. A soil probe was used to collect soils from 3 depths at each plot: 0-10 cm, 10-30 cm, and 30 + cm. Soil was then dried, processed, and analyzed for P at the Coweeta Analytical Laboratory.
Soil cation exchange capacity (CEC) from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
Cation exchange capacity (CEC) of soil was analyzed as part of the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. There were 12 10 x 10-m plots at each site. A soil probe was used to collect soils from 3 depths at each plot: 0-10 cm, 10-30 cm, and 30 + cm. Soil was then dried, processed, and analyzed for CEC at the Coweeta Analytical Laboratory.
Groundwater well specifications from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin
The hillslope study was established to directly link land use impacts to streamwater quality in the southern Appalachian Mountains. Nine sites were selected in the Little Tennessee River watershed in Macon County, NC, representing four land use types: forest, mountain development, traditional valley, and large river valley. At each of these sites, three subsurface flowpaths were identified, and four plots were established along the flowpath following the elevation gradient. At seven of the nine sites, the three lower elevation plots at one of the subsurface flowpaths had ground water wells installed in order to measure groundwater stage along an elevational gradient. A total of 61 groundwater wells were installed and their depths recorded.
Climate station measurements from 5 Hillslope Project sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
The hillslope study was established to directly link land use impacts to streamwater quality in the southern Appalachian Mountains. Nine sites were selected in the Little Tennessee River watershed in Macon County, NC, representing four land use types: forest, mountain development, traditional valley, and large river valley. At five of the nine sites, a climate station was installed that measured air temperature, wind speed and direction, Relative Humidity, and Solar Radiation. Dew point, Wind Chill, and Heat index were also calculated based on these measurements. Sensor output was measured every minute and output as averages or totals every hour.
Manual well measurements from 9 Hillslope Project sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
The hillslope study was established to directly link land use impacts to streamwater quality in the southern Appalachian Mountains. Nine sites were selected in the Little Tennessee Riverwatershed in Macon County, NC, representing four land use types: forest, mountain development,traditional valley, and large river valley. At each of these sites, three subsurface flowpathswere identified, and four plots were established along the flowpath following the elevation gradient. At seven of the nine sites, the three lower elevation plots at each of the subsurface flowpaths had ground water wells installed in order to measure groundwater stage along an elevational gradient. Measurements were taken every two weeks. Water depth in these wells was manually measured every two weeks using a water level indicator. Please see the accompanying well construction data for additional groundwater well information.
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.
Hubbard Brook Experimental Forest: In-situ Nitrogen Mineralization and Nitrification measurements for 4 winter climate change projects
These data are from four separate projects undertaken between 1997 and 2017. The first of these are two snow manipulation (freeze) projects: 1) In 1997, as part of a study of the relationships between snow depth, soil freezing and nutrient cycling, we established eight 10 x 10-m plots located within four stands; two dominated (80%) by sugar maple (SM1 and SM2) and two dominated by yellow birch(YB1 and YB2), with one snow reduction (shoveling) and one reference plot in each stand. 2) In 2001, we established eight new 10-m x 10-m plots (4 treatment, 4 reference) in four new sites; two high elevation, north facing and (East Kineo and West Kineo) two low elevation, south facing (Upper Valley and Lower Valley) maple-beech-birch stands. To establish plots, we cleared minor amounts of understory vegetation from all (both treatment and reference) plots (to facilitate shoveling). Treatments (keeping plots snow free by shoveling through the end of January) were applied in the winters of 1997/98, 1998/99, 2002/2003 and 2003/2004. The Climate Gradient Project was established in October 2010. Here we evaluated relationships between snow depth, soil freezing and nutrient cycling along an elevation/aspect gradient that created variation in climate with little variation in soils or vegetation. We established 6 20 x 20-m plots (intensive plots) and 14 10 x 10-m plots (extensive plots), with eight of the plots facing north and twelve facing south. The Ice Storm project was designed to evaluate the damage and changes ice storms cause to northern hardwood forests in forest structure, nutrient cycling and carbon storage. Ten 20x30 meter plots were established in a predominately sugar maple stand, with 4 icing treatments and 2 control plots. The treatments are as follows: Low (0.25"), Mid (0.5"), Midx2 (0.5") 2 Years in a row, High: (0.75"), Control. The icing treatment was conducted in the winter of 2015-2016, with a second year of icing on the Midx2 treatments plots in the winter of 20
Jornada Basin and Experimental Range Mesquite Herbicide Project (JERHM) Connectivity Modifier Data, 2023
This dataset includes plant community composition, plant litter, soil depth, and shrub interspace fetch distance data collected in 2023 as part of the Jornada Experimental Range Herbicide Mesquite Project (JERHM). Data were collected to characterize plant community and ecosystem resource (plant litter, soil depth) responses to the use of Connectivity Modifiers (ConMods), which are used to reduce bare ground connectivity, alongside herbicide application to reduce honey mesquite (Neltuma glandulosa [=Prosopis glandulosa]) encroachment. ConMod and control (rebar-only) arrays were installed on 16 paired, 5-hectare plots, with one plot within each pair randomly selected to receive herbicide treatment in 2021 to reduce N. glandulosa abundance, or left untreated for comparison. Approximately 6 months after herbicide application (spring 2022), 12-unit ConMod and control (rebar-only) arrays were installed on experimental plots within 8 randomly selected N. glandulosa shrub interspaces (n = 8 arrays per plot, 4 per array type). Data were collected in the fall of 2023 at the end of the second growing season following array installation. There are no immediate plans to continue data collection.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.