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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.
Simulated bioenergy crop yield on agricultural land in a 10-county region of western North Carolina.
We used a mechanistic plant growth model, ALMANAC (Kiniry 1996), to simulate the growth of bioenergy crops including switchgrass, miscanthus, and hybrid poplar. We selected simulation points by overlaying SSURGO soil data polygons with a 1-km resolution observed climate dataset (Thornton et al. 2012). The centroid of each unique soil polygon and climate cell combination was used as a simulation point, resulting in over 69,000 simulation points. Crop growth was simulated at each point for 10 (grasses) or 12 (poplar) years and replicated 10 times. We limited our simulation to area currently identified as agriculture, pasture, grass- or shrubland in the 2012 National Cropdata Layer.
Nest-mediated seed dispersal study from mixed habitats in North Georgia and Western North Carolina
Many plant seeds travel on the wind and through animal ingestion or adhesion; however, an overlooked dispersal mode may lurk within those dispersal modes. Viable seeds may remain attached or embedded within materials birds gather for nest building. Our objective was to determine if birds inadvertently transport seeds when they forage for plant materials to build, insulate, and line nests. We also hypothesized that nest-mediated dispersal might be particularly useful for plants that use mating systems with self-fertilized seeds embedded in their stems. We gathered bird nests in temperate forests and fields in eastern North America and germinated the plant material. We also employed experimental nest boxes and performed nest dissections to rule out airborne and fecal contamination. We found that birds collect plant stem material and mud for nest construction and inadvertently transport the seeds contained within. Experimental nest boxes indicated that bird nests were not passive recipients of seeds (e.g., carried on wind), but arrived in the materials used to construct nests. We germinated 144 plant species from the nests of 23 bird species. A large proportion of the nest germinants were graminoids containing self-fertilized seeds inside stems—suggesting that nest dispersal may be an adaptive benefit of closed mating systems. Avian nest building appears as a dispersal pathway for hundreds of plant species, including many non-native species, at distances of at least 100–200 m. We propose a new plant dispersal guild to describe this phenomenon, caliochory (calio = Greek for nest).
Dissolved organic carbon (doc) in stream water at watersheds 7, 14, and 27 at the Coweeta Hydrologic Laboratory, Otto, North Carolina, USA.
Dissolved organic carbon (DOC) plays a critical role in stream ecosystem processes. This study seeks to examine long-term patterns in DOC concentration in stream water resulting from climatic variation and associated with recovery form clear-cutting. Watershed 7 was clear-cut in 1977 as part of a multi-investigator study examining the response of both the terrestrial and aquatic communities to commercial clear-cutting.
Hourly soil moisture, soil temperature, groundwater temperature, and groundwater stage height measurements from 9 Hillslope Study 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 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 and temperature along an elevational gradient. Additional sensors were installed adjacent to the groundwater wells to measure soil moisture at 0-30 cm and 30-60 cm below the ground surface uphill and downhill of the well, and soil temperature at 5 cm below the ground surface. Measurements were taken every 60 seconds and output as hourly averages. Data were used as part of the Regional HydroEcological Simulation System (RHESSys) ecohydrologic model. Please see the accompanying well construction data for additional groundwater well information.
Groundwater stage height measurements of ten minute intervals from 9 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 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. Measurements were taken every 60 seconds and output as ten minute averages. Data were used as part of the Regional HydroEcological Simulation System (RHESSys) ecohydrologic model. Please see the accompanying well construction data for additional groundwater well information.
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.
Weekly grab samples and manual specific conductivity, temperature, and turbidity measurements of streams at the LTER intensive and hillslope sites located in Macon County, North Carolina, within the Little Tennessee River Basin
Weekly grab samples and manual specific conductivity, temperature, and turbidity measurements were taken at 21 streams and rivers in Macon County, NC. Nine intensive sites were monitored weekly in 2010-2011, nine hillslope sites were monitored biweekly in 2012-2013, and three river sites were monitored weekly in 2010-2011 and biweekly in 2012-2013. Data from a brief study of three streams at the Buck Creek Pine Barrens in Clay County, NC, also was completed, as well as one grab sample at Porters Creek, Mountain View Intermediate School. Water samples were analyzed for chemistry at the Coweeta Analytical Lab. Specific conductivity and temperature data were collected using a YSI 30 handheld conductivity meter. Turbidity data were collected using a Hach 2100P turbidimeter.
Stream chemistry and stream temperature measurements (1998 - 2009) in Little Santeetlah Creek, Joyce Kilmer Wilderness Area, Graham County, North Carolina
This project began as a Coweeta LTER Schoolyard project in 1998. Students walked Joyce Kilmer Memorial Loop Trail to discuss forest ecology, air quality issues, and take grab samples. Later, students walked the Wolf Laurel - Naked Ground Trail and took an additional 14 grab samples along an elevational gradient in Little Santeetlah Creek. The project was continued by Brian Kloeppel and technicians on a quarterly basis to monitor water quality in a Class I Wilderness Area over a long time period. The last collection was made in February 2009.
In situ soil moisture measurements for the Hillslope study from 5 sites located in Macon County, North Carolina, within the Upper Little Tennessee River Basin
This study was conducted across 5 sites that served as part of the regional hillslope study. Synoptic soil moisture measurements were measured using a Theta Probe that measures surface soil moisture up to a depth of 6cm. Site locations include 18 plots in WS14, 17 plots in Fall Branch, 13 plots in WS18, 10 plots on Mica City Road, and 12 plots at Ammons Creek. The measurement period varied among sites. The most complete is WS14 lasting about 3 years of regular measurements starting in 2011.
MCR LTER: Coral Reef: Bathymetry Grid for North Shore
These bathymetric data are a combined product of digitized SHOM nautical charts, SRTM30plus bathymetry, small boat surveys, and bathymetry derived from Worldview-2 satellite imagery. Satellite data were collected in collaboration with Le centre de L'Environment de Moorea (CRIOBE). Data products are (x,y,z) point data and images in Coordinate system: UTM zone 6S and Datum: WGS-84.
MCR LTER: North Shore Moored pH sensors, SeaFET 2012-2015 and SAMI 2015-ongoing
This dataset contains only the sensor data and only from the forereef mooring on the north shore. Full carbonate chemistry data derived from water samples where available are in a separate dataset. Sensor data from other locations are in a separate dataset. Near continuous measurements of seawater pH are made at two locations on the north shore of Moorea. On the fore reef, instruments are attached to a mooring cable at 10-m depth at LTER0. On the back reef, instruments are bottom-mounted at a location approximately 400 m landward of the reef crest at LTER0, such that pH of the same water mass is measured at both locations as water moves onto the reef crest and across the back reef (Hench et al. 2008). One SeaFET instrument and one SAMIpH instrument are deployed at each location. Measurements of pH by the SeaFETs are made every 30 minutes; pH measurements by the SAMIs are made every hour. SeaFET data (on the total pH scale) are output using both a constant salinity value (35 PSU) and using salinities measured in situ, if available. SeaFETs are calibrated using independent measures of pH from water samples taken adjacent to the instruments prior, during, and after deployment (using the m-cresol purple method). SAMIs are returned to the manufacturer each year for calibration. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2019). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
MCR LTER: Coral Reef Resilience: Juvenile Parrotfish Habitat Associations at North Shore Fringe and Backreef in March 2011
These data describe habitat associations of juvenile parrotfish (Scaridae) encountered during systematic searches at LTER 1 and LTER 2 fringing reef and back reef sites during March 2011. At each site SCUBA divers or snorkelers identified, counted, and estimated the sizes of juvenile parrotfish and recorded the microhabitat that each individual or group of individuals was associated with on two 100 m x 10 m wide transects (n = 8 transects total). Upon encountering a juvenile or group of juveniles, the surveyor recorded the microhabitat type that fishes were first seen to be closest to. They also closely observed the behavior of fishes to see if they were utilizing a particular microhabitat as shelter, and if so this was also recorded. Several groups of fishes first observed to be grazing on hard substrate or on macroalgae quickly retreated into the nearby coral Porites rus when approached. Hence for these individuals we considered the initial habitat they were associated with (e.g., hard substrate or macroalgae) to be their primary microhabitat, but also noted that they were associated with Porites rus for shelter.
River Nutrient Uptake and Transport at North Temperate Lakes LTER (2005-2011)
These data were collected by Stephen Michael Powers and collaborators for his Ph.d. research, documented in his dissertation: River Nutrient Uptake and Transport Across Extremes in Channel Form and Drainage Characteristics. A major goal of this research was to better understand how ecosystem form and landscape setting dictate aquatic biogeochemical functioning and elemental transport through rivers. To achieve this goal, major and minor ions were measured in both northern and southern Wisconsin streams located in a variety of land use settings. In total, 27 different streams were sampled at 104 different stations (multiple stations per system) from both groundwater and surface water sources. Organic and inorganic carbon and nitrogen pools were also measured in northern and southern Wisconsin streams. The streams that were sampled in northern Wisconsin flow through wetland ecosystems. In sampling such streams, the goal was to better understand how wetland ecosystems influence river nutrient deliveries. There is a large amount of stream chemistry data for Big Spring Creek, WI; where the influence of a small reservoir on solute transportation and transformation was studied in an agricultural watershed. All stream chemistry data is incorporated in a single data file, Water Chemistry 2005-2011. While the data is not included in the dissertation, a sediment core study was also done in the small reservoir and channel of Big Spring (BS) Creek, WI. The results of this study are featured in three data tables: BS Creek Sediment Core Analysis, BS Creek Sediment Core Chemistry, and BS Creek Longitudinal Profile. Finally, two data tables list the geospatial information of sampling sites for stream chemistry and sediment coring in Big Spring Creek. Documentation: Powers, S.M., 2012. River nutrient uptake and transport across extremes in channel form and drainage characteristics. ProQuest Dissertations and Theses. The University of Wisconsin - Madison, United States -- Wisconsin, p
Long-term fish abundance data for Wisconsin Lakes Department of Natural Resources and North Temperate Lakes LTER 1944 - 2012 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/346/6, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/356/3. The abstract below was extracted from the Level 0 data package and is included for context: This dataset describes long-term (1944-2012) variations in the relative abundance of fish populations representing nine species in Wisconsin lakes. Data were collected by Wisconsin Department of Natural Resource fisheries biologists as part of routine lake fisheries assessments. Individual survey methodologies varied over space and time and are described in more detail by Rypel, A. et al., 2016. Seventy-Year Retrospective on Size-Structure Changes in the Recreational Fisheries of Wisconsin. Fisheries, 41, pp.230-243. Available at: http://afs.tandfonline.com/doi/abs/10.1080/03632415.2016.1160894
North Temperate Lakes LTER: Southern Lake Spiny Water Flea 2016 - present
Beginning in 2016, vertical tows with a special zooplankton net were collected in the lakes of the Yahara River specifically for the invasive Bythotrephes longimanus (spiny water flea). The net has a 400 micrometer mesh with a 0.5 meter diameter opening. Individuals are simply counted, and density is determined to be the number of individuals divided by the total water volume of each tow. The depth of the tow, and therefore the tow volume, varies by lake. Additional sampling for spiny water flea occurred 2009 - 2014 as a part of graduate student research (dataset knb-lter-ntl.343). Spiny water flea are also captured occasionally during our standard zooplankton tows of the southern lakes (knb-lter-ntl.90).
North Temperate Lakes-LTER Core Research Lakes Information
Lake information for our eleven core NTL-LTER study lakes. These include seven in the Trout Lake area (Allequash, Big Muskellunge, Crystal Lake, Crystal Bog, Sparkling, Trout Bog and Trout Lake), and four lakes in the Madison area (Mendota, Monona, Wingra, and Fish). Data includes lake identifiers for various water-body databases, geographic location, general lake characteristics, watershed and shoreline land cover descriptions, and long-term averages of select water quality measurements.
Cascade Project at North Temperate Lakes LTER High Frequency Sonde Data from Spatial Dynamics Experiment 2018 - 2019
High-frequency continuous data for temperature, dissolved oxygen, pH, chlorophyll-a, and phycocyanin in Paul Peter lakes from mid-May to early September for the years 2018 and 2019. Inorganic nitrogen and phosphorus were added to Peter in 2019, while Paul Lake was an unfertilized reference.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.